- 1Department of Clinical Sciences, Institute of Tropical Medicine Antwerp, Antwerp, Belgium
- 2Department of Microbiology and Immunology, KU Leuven, Leuven, Belgium
- 3JD MacLean Centre for Tropical Diseases, McGill University, Montreal, QC, Canada
- 4Department of Clinical Microbiology, National Institute of Biomedical Research, Kinshasa, Democratic Republic of Congo
- 5Service of Microbiology, Kinshasa General Hospital, Kinshasa, Democratic Republic of Congo
- 6Sihanouk Hospital Center of HOPE, Phnom Penh, Cambodia
- 7Clinical Microbiology, Centre National Hospitalier et Universitaire Hubert Koutoukou MAGA, Cotonou, Benin
- 8Center for Environmental Health and Occupational Health, School of Public Health, Université Libre de Bruxelles (ULB), Brussels, Belgium
- 9Innovation and Business Development Unit, LHUB - ULB, Pôle Hospitalier Universitaire de Bruxelles (PHUB), Université Libre de Bruxelles (ULB), Brussels, Belgium
- 10Division of Infection and Immunity, Faculty of Medical Sciences, University College London, London, United Kingdom
This review provides an update on the factors fuelling antimicrobial resistance and shows the impact of these factors in low-resource settings. We detail the challenges and barriers to integrating clinical bacteriology in hospitals in low-resource settings, as well as the opportunities provided by the recent capacity building efforts of national laboratory networks focused on vertical single-disease programmes. The programmes for HIV, tuberculosis and malaria have considerably improved laboratory medicine in Sub-Saharan Africa, paving the way for clinical bacteriology. Furthermore, special attention is paid to topics that are less familiar to the general medical community, such as the crucial role of regulatory frameworks for diagnostics and the educational profile required for a productive laboratory workforce in low-resource settings. Traditionally, clinical bacteriology laboratories have been a part of higher levels of care, and, as a result, they were poorly linked to clinical practices and thus underused. By establishing and consolidating clinical bacteriology laboratories at the hospital referral level in low-resource settings, routine patient care data can be collected for surveillance, antibiotic stewardship and infection prevention and control. Together, these activities form a synergistic tripartite effort at the frontline of the emergence and spread of multi-drug resistant bacteria. If challenges related to staff, funding, scale, and the specific nature of clinical bacteriology are prioritized, a major leap forward in the containment of antimicrobial resistance can be achieved. The mobilization of resources coordinated by national laboratory plans and interventions tailored by a good understanding of the hospital microcosm will be crucial to success, and further contributions will be made by market interventions and business models for diagnostic laboratories. The future clinical bacteriology laboratory in a low-resource setting will not be an “entry-level version” of its counterparts in high-resource settings, but a purpose-built, well-conceived, cost-effective and efficient diagnostic facility at the forefront of antimicrobial resistance containment.
Main Terms, Definitions, and Abbreviations Used in This Review
In this review, we use the term “antimicrobial resistance” (AMR), which is the ability of a microorganism to resist antimicrobial treatment. AMR encompasses antibiotic resistance and the ability of bacteria to resist antibiotic treatment in both human and animal healthcare.
The review focuses on “low-resource settings” (LRS), which include low-income countries as well as remote, rural and underserved areas in middle-income countries. We would like to note that we incidentally also use the term “low- and middle-income countries” (LMIC1) when it is used in an original reference cited. We mainly discuss Sub-Saharan Africa because most low-income countries (27 of 34) (1) are located there, and recent initiatives have spurred laboratory-related capacity building in the region.
The term “One Health,” which is often used in this review, refers to a multisectoral, multilevel and transdisciplinary approach aiming to achieve optimal health outcomes by recognizing the interactions between humans, animals, and the environment.
The review focuses on the “clinical bacteriology laboratory” (CBL). However, given the scarcity of literature about the CBL in low-resource settings, we present complementary data from general (human) diagnostic laboratories, termed “medical laboratories.” These medical laboratories in referral or district hospitals provide hematology, biochemistry, microscopy (tuberculosis and parasites) and blood transfusion services and are staffed by laboratory technicians with broad and basic training, who are commonly referred to as “laboratory staff.”
Antimicrobial Resistance is a Public Health Treat Worldwide, But Low- and Middle-Income Countries are Hit Hardest
Antibiotic consumption, in human and animal health as well as in agriculture, is constantly increasing. As a result, antimicrobial resistance rates are rising worldwide. To tackle this, a “One Health” approach is needed. LMIC are hit hardest by AMR. This is partly due to budgetary problems but also because of social norms and beliefs that impede the proper diagnosis and treatment of health problems in patients.
Antimicrobial Resistance Has Recently Been Accelerated by Human Factors in Different Sectors
Antibiotics have revolutionized the treatment of infectious diseases. Therefore, antibiotics are currently being used in nearly every facet of modern medicine in domains such as organ transplantation, invasive surgery and cancer treatment (2, 3). However, after the introduction of nearly every new antibiotic product or class, AMR has emerged (4).
In the first 10 years of this century, human antibiotic consumption increased by 35%, and AMR rates have risen, particularly in countries with high antibiotic consumption (5)4. Antibiotic consumption is not restricted to humans but also occurs in animal health and agriculture, making it a “One Health” issue (6). In animal health, antibiotics are mainly used as “prophylactics” and/or for growth promotion. Indeed, antibiotic use in animals and agriculture accounts for ~70% of total antibiotic consumption (7–9). Pharmaceutical companies are investing less in the development of new antibiotics. Because of this, the discovery rate of new products has dramatically decreased since the 1980s and there have been few if any recent breakthroughs, reducing the options for treatment (10).
A Multisectoral Global Action Plan to Contain Antimicrobial Resistance
In view of the growing problem of AMR, the World Health Organization (WHO), the Food and Agriculture Organization (FAO) and the World Organization for Animal Health (OIE) recently (2015) joined forces. Together, they developed the Global Action Plan on AMR (Box 1) (11, 12), which provides a framework for developing multisectoral national action plans (13).
Box 1. The five strategic objectives of the “Global action plan for antimicrobial resistance” of the World Health Organization2
The plan fits into the “One Health” approach and the tripartite of WHO, Food and Agriculture Organization (FAO) and the Organization of Animal Health (OIE) and was adopted by the May 2015 World Health Assembly (A68/20)3
1. Improve awareness and understanding of antimicrobial resistance through effective communication, education and training.
2. Strengthen the knowledge and evidence base through surveillance and research.
3. Reduce the incidence of infection through effective sanitation, hygiene and infection prevention measures.
4. Optimize the use of antimicrobial medicines in human and animal health.
5. Develop the economic case for sustainable investment that takes account of the needs of all countries, and increase investment in new medicines, diagnostic tools, vaccines and other interventions.
Clinical bacteriology at the point of referral hospitals in Low Resource Settings is pivotal for antimicrobial resistance surveillance (Objective 2) which contributes to awareness and understanding (Objective 1). Clinical Bacteriology Laboratories further are instrumental to infection prevention and control (IPC, preventing spread of multidrug resistant bacteria, Objective 3) and correct use of antibiotics (Antibiotic Stewardship, contributing appropriated antibiotic use, Objective 4). Of note, FAO and OIE have similar approaches for their sectors.
Low-and Middle-Income Countries Are Hit Hardest by Antimicrobial Resistance
Although data are scarce and incomplete (particularly for Sub-Saharan Africa), it is assumed that LRS are hit hardest by AMR in terms of mortality, morbidity and associated costs (14–16). However, most information comes from hospital-based studies in high-risk patient wards (e.g., intensive care units), which complicates the evaluation of the impact of AMR. A systematic review of the available studies showed that AMR in “ESKAPE” bacteria is significantly associated with increased mortality. These “ESKAPE” bacteria include Enterococcus spp., Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp. These bacteria are listed by the WHO as “priority pathogens” for research on the development of new antibiotics and control measures (17).
AMR also occurs outside the hospital. On the one hand, high proportions of multidrug-resistant bacteria have been found in the commensal flora of humans (Escherichia coli and Klebsiella pneumoniae) and in the environment, including sources of drinking water (18, 19). On the other hand, typical community-associated pathogens, such as Salmonella Typhi (causing enteric fever), have acquired multidrug resistance, even against key antibiotics such as ceftriaxone (20, 21). Moreover, in November 2016, the health authorities in Pakistan reported an (ongoing) outbreak of typhoid fever caused by a strain of Salmonella Typhi resistant to all recommended antibiotics (termed “extensively drug resistant” or XDR). In December 2018, 5,274 cases had already been identified (22). It was of concern that the XDR Typhi strains from DR Congo and Pakistan acquired the genetic code for ceftriaxone resistance by horizontal transmission from common enteric bacteria (E. coli and Klebsiella spp.) distributed worldwide (20, 23).
Table 1 lists the determinants and aggravating factors that explain the vulnerability of LMIC to AMR. Beyond the well-known challenges of budgets and means, beliefs and social norms also guide the health-seeking itineraries of patients. These can partially impede diagnosis. A lack of diagnostic support leads to diagnostic uncertainty, which results in the over-treatment of patients with broad-spectrum antibiotics. Because of the poor implementation of infection prevention and control (IPC) measures, this promotes the emergence and spread of multidrug resistant (MDR) organisms.
Table 1. Why low-and middle-income countries are hit hardest by antimicrobial resistance: attitudes, practices, and interactions between prescriber, dispenser, patients, diagnostics and health systems, related to human medicine4 (4, 24–36).
The Need for Bacteriology Laboratories at the Secondary Healthcare Level is Now Recognized
Clinical bacteriology laboratory services are traditionally restricted to higher healthcare levels, where they are poorly linked to clinical services and therefore underused. Last year, the WHO recommended that clinical bacteriology services be available at the hospital level and that sampling be conducted at the primary level. This offers opportunities for expanding surveillance networks.
The Hierarchy of the Health Laboratory System at the Country Level
Figure 1 depicts the levels of healthcare with a focus on the diagnosis and treatment of bacterial infections. Basic levels of healthcare (provided by community health workers, health posts, and health centres) are characterized by the limited clinical expertise of frontline healthcare workers. This results in a failure to assess alarming clinical symptoms and perform triage, which in turn leads to aggravated consequences for bacterial infections (24, 37). The secondary level of healthcare (representing the first referral level) accommodates medical laboratories with trained laboratory technicians. These laboratories refer to regional or provincial laboratories, which in turn refer to national reference laboratories (highest level).
Figure 1. Benin, West-Africa: mobile hand washing facility. The water in the reservoir is a 0.05% chlorine solution which was added when the reservoir was nearly empty. Two containers with liquid soap (top and right side of the reservoir) were topped-up when needed. Simple swabbing of the tap and semi-quantitative culture of the soap (calibrated loop) was performed on standard culture media (MacConkey agar). Tap and soap were heavily contaminated with multidrug resistant Klebsiella pneumoniae. Simple control measures (daily cleaning and drying of the reservoir (system of alternating two reservoirs), replacing the containers instead of topping-up) stopped the contamination. Follow-up cultures were done during the implementation phase of the control measures. Written informed consent was obtained from the individual for the publication of this image.
The Placement of Clinical Bacteriology Laboratories Where They Are Needed at the Level of the Referral Hospital
Until recently, guidelines for national and transnational laboratory networks advocated for CBL at the provincial and national referral levels (38–40). In Sub-Saharan Africa, these higher-level laboratories are traditionally poorly linked to clinical services and are therefore underused (41). In April 2018, the WHO Strategic Advisory Group on in vitro Diagnostics (SAGE-IVD) published the Model List of Essential in vitro Diagnostics (WHO EDL), which placed the culture-based diagnosis of invasive bacterial infections (such as bloodstream infections) at the second level of healthcare (i.e., at the referral hospitals) (42). This confirms the relevance of the few CBLs already implemented in LMIC hospitals (see below) and appeals for the systematic installation of CBL at the hospital level (43). Furthermore, the WHO EDL recommends the sampling of cultures at the primary level and their transport to the secondary level for processing and diagnosis (38, 42). This is already possible using current tools (44).
Moreover, placing CBL at the level of referral hospitals conforms strategically within the scope of the International Health Regulations (45) and the Global Health Security Agenda5, as laboratory data at this healthcare level constitutes early alerts of emerging epidemics (25, 46). In addition, this offers opportunities for expanding national AMR surveillance and providing antibiotic stewardship and IPC at the hospital level, thereby achieving four of the objectives of the WHO AMR action plan (Figure 2).
Figure 2. The integrated Tiered Laboratory Network with focus on test menus relevant to clinical bacteriology at different levels-of-care. Clinical bacteriology has recently moved from Level ≥ 3 to Level 2, i.e., the district or referral hospital. Adapted from Unicef and WHO (37), Best and Sakande (39), WHO (47), Centers for Disease Control and Prevention (48), Unitaid (24), and WHO (49), which provide complementary information for the tiered work-up of HIV, tuberculosis and malaria and other diagnostics. CBL, clinical bacteriology laboratory; GLASS, Global Antimicrobial Resistance Surveillance System; RDT, rapid diagnostic test.
The Clinical Bacteriology Laboratory Allows for Antimicrobial Resistance Surveillance
Hospitals are at the frontline of the emergence and spread of AMR but are also ideally positioned for training professionals and the roll-out of AMR surveillance via connection to the Global Antimicrobial Resistance Surveillance System.
Although hospitals account for only 10–20% of antibiotic use in human health4, they are at the frontline of the emergence and spread of AMR. The impact of infections with MDR bacteria is most visible in hospitalized patients, given the numbers of susceptible patients (HIV/AIDS, trauma, neonates, and immunocompromised patients) combined with the use of invasive interventions and surgery. In hospitals in LRS, this is further aggravated by the overuse of broad-spectrum second-line antibiotics to compensate for weak IPC programmes4, (10). Notwithstanding, hospitals are places of pre- and in-service training for health providers and facilitate educational and behavioral interventions.
AMR Surveillance: Compiling Routine Patient Data
The results of culture and antibiotic susceptibility testing (AST) generated by CBLs can be exploited for AMR beyond their use in daily care. Compiling day-to-day laboratory reports in a continuous way is the basis for AMR. This was already endorsed by the WHO in 2001 as part of the WHO Global Strategy for the Containment of Antimicrobial Resistance (50). In high- and middle-income countries, it has become an established practice; examples of this include the European Antimicrobial Resistance Surveillance Network (51), the Central Asian and Eastern European Surveillance of Antimicrobial Resistance6 and the Latin American Antimicrobial Resistance Surveillance Network (52). Surveillance activities have also been conducted in hospitals (secondary or tertiary level) in LRS where CBL have been installed as part of operational research and capacity building programmes (53–56) and have been frequently organized into networks7.
Connecting to the Global Antimicrobial Resistance Surveillance System (GLASS)
The Global Antimicrobial Resistance Surveillance System (GLASS), which was developed by the WHO (57), is a platform for designing and organizing AMR surveillance at the local and national levels that facilitates global reporting. In its current version, GLASS is confined to human pathogens. GLASS surveillance combines laboratory data from routine patient care with basic demographic and clinical data. Box 2 lists the key actors in GLASS at the country level and their respective tasks.
Box 2. Country-based surveillance of antimicrobial resistance (AMR) according to the Global Antimicrobial Resistance Surveillance System (GLASS) developed by the WHO (11, 57): roles and tasks of the core components, priority specimens and pathogens.
The GLASS national coordination centre is usually a public health institute that defines, organizes and monitors national AMR surveillance. Whenever possible, it should be linked to sectors involved in animal and human welfare and agriculture. The national reference laboratory provides capacity building for the AMR surveillance sites and confirmatory testing. The AMR surveillance sites should constitute a network that represents the different geographic, demographic and socio-economic levels within the country and should provide access to epidemiological and laboratory support. Both in- and outpatient health facilities are eligible (11, 57).
Priority specimens comprise blood, urine, feces and urethral swabs, and the eight priority pathogens largely overlap with those in the “Priority Pathogen List for Research and Development of New Antibiotics” provided by the WHO (58). Antibiotics under surveillance include those listed as treatment options for priority pathogens or diseases in the WHO Essential Medicines List (59, 60) and potential reserve antibiotics and antibiotics used as indicator (surrogate) products (i.e., to predict susceptibility or resistance to other antibiotics).
For data management and transfer, national systems can be used, and the open-access WHONET software has been adapted to facilitate data entry at surveillance sites and (automated) processing at the national coordination centre8. In December 2018, a total of 71 countries participated in GLASS, of which 15 were in Sub-Saharan Africa9. GLASS is a response to Objective 2 of the WHO ‘Global Action Plan for Antimicrobial Resistance’ (surveillance of AMR and antibiotic consumption in all sectors), and GLASS data boosts awareness among providers, patients and the public (Objective 1).
Additional Benefits Associated With Surveillance
Microbiological surveillance based on hospital data provides valuable information at different levels (10, 61). First, it provides opportunities to collect, assess, monitor and improve quality indicators, especially for blood cultures (62). Second, apart from AMR, it sets a baseline and provides monitoring of the spectrum of bacteria causing infections. Indeed, this spectrum can vary considerably in different sites and settings. Surveillance can therefore determine the occurrence and proportions of geographically confined pathogens such as Burkholderia pseudomallei (melioidosis, South-East Asia) (53), Streptococcus suis (zoonotic meningitis and sepsis, Asia) (55) and Salmonella species (both typhoidal and non-typhoidal) (54, 63, 64). Consistent blood culture surveillance as part of capacity building projects also allows for early alerts for hospital and community outbreaks (Box 3).
Box 3. How Clinical Bacteriology can contribute to Diagnostic Stewardship in LRS hospitals.
According to the GLASS Manual (65), Diagnostic Stewardship is defined as: “coordinated guidance and interventions to improve appropriate use of microbiological diagnostics to guide therapeutic decisions.” The clinical bacteriology laboratory should work out guidelines covering the diagnostic pathway along request, sampling, laboratory processing and reporting. In addition to written guidelines, laboratory staff should be available on a consultative basis to discuss tailored adaptations (66). The text below comprises, in addition to Table 2, some practical guidance. There are no guidelines nor studies [except for reference (67)] specific for low resource settings, all references address high income countries.
The Clinical Bacteriology Laboratory Contributes to Antibiotic Stewardship
Antibiotic stewardship (ABS) aims to optimize the treatment of infections and reduce adverse events due to antibiotics. In addition, ABS programmes are effective in reducing AMR at the hospital level. Table 2 gives an overview of the core elements of ABS along with contributions by CBL, most of which have been studied and applied in high-income countries. In this section, we outline processes to be considered when implementing CBL to maximize the impact on ABS.
Table 2. How the clinical bacteriology laboratory can contribute to antibiotic stewardship in hospitals.
Diagnostic Stewardship
Diagnostic stewardship involves guidelines about the appropriateness of diagnostic tools, specimen selection, the timing and conditions of sampling, the understanding of sample flow and processing, and the correct interpretation and reporting of results. This ultimately leads to the optimization of patient diagnosis, antibiotic treatment and outcomes, resulting in a decrease in AMR (66, 76, 78, 79). To implement diagnostic stewardship, the guidelines should be available in writing, and competent laboratory staff must be available to address questions and comments. Box 4 gives an overview of the basic guidelines of diagnostic stewardship for CBL.
Box 4. How clinical bacteriology can benefit from the achievements in laboratory strengthening of vertical disease programs (HIV, tuberculosis, and malaria) in Sub-Saharan Africa.
The integrated laboratory strengthening approach in Sub-Saharan Africa was initiated by advocacy expressed in the Maputo Declaration in 2008 and mobilized major funders such as the US President's Emergency Plan for AIDS Relief (PEPFAR), the Global Fund for AIDS, Tuberculosis and Malaria and the World Bank toward an unprecedented support for vertical health programs. It uses innovative approaches for teaching and accreditation (SLIPTA and SLMTA) and is coordinated by WHO Regional Office for Africa (WHO AFRO) and the African Society of Laboratory Medicine (ASLM) at the regional level and by national laboratory plans at the countries' level. The laboratory strengthening for the vertical disease programs of HIV, tuberculosis and malaria is organized along country's National Public Health Laboratory and tiered integrated laboratory networks. It aims to support to other disease surveillance systems (Freetown Declaration 2015) within the Global Health Security Agenda.
Below are listed 10 key-factors to success on which laboratory medicine in general and clinical bacteriology in can capitalize for implementation. Adapted from Nkengasong et al. (41), Barbé et al. (92); Alemnji et al. (93), Nkengasong et al. (94), Andiric et al. (95), WHO (96); Carter et al. (97), and Sayed et al. (98).
1. Advocacy
– The advocacy role from Africa-owned platforms is essential to raise funding and setting the agenda
– Examples; Maputo Declaration, Freetown Declaration
2. Commitment of funding by donors
3. Involve the private sector
– The premium for-profit private sector may have better access to advanced technologies and staff
– Non-governmental organizations and mission hospitals reach rural and under-served communities
– Postal and courier services can be contracted for safe and efficient shipment of samples
4. Effective partnerships coordinated at the national level: Embedded in the National Laboratory Strategic Plans
5. Tiered and Integrated referral networks overseen by National Reference Laboratories
6. Promote the general quality management system of the laboratory and accreditation: WHO-AFRO Stepwise Laboratory Quality Improvement Toward Accreditation (SLIPTA) program
7. Enhance education and training by innovative tools: WHO-AFRO Strengthening Laboratory Management Toward Accreditation (SLMTA) toolkit
8. Investment in infrastructure of laboratories: Infrastructure covers facilities and safety, equipment, consumables, process and information management, procurement, supply, and inventory systems
9. Care for the laboratory workforce: In-service training, retention strategy, career paths
10. Metrics allow for monitoring: Clear metrics for assessments and monitoring allow to measure improvements.
WHO-AFRO: World Health Organization Regional Office for Africa.
https://www.who.int/diagnostics_laboratory/Maputo-Declaration_2008.pdf
http://www.aslm.org/what-we-do/global-health-security/freetown-declaration/
http://www.aslm.org/what-we-do/slipta/
Timely Transport and Accurate Processing of Submitted Samples and the Prioritization of Workflows
CBL addresses multiple parameters and procedures. Consequently, laboratory work-up processing is more prone to inter-operator variability and errors compared to other procedures of the medical laboratory (92, 99). Moreover, automation and batch sample processing are not feasible in most LRS settings. An integrated laboratory quality management system combined with bench-side supervision is therefore key to a well-functioning CBL (92). A competent CBL is also in close communication with care providers, including clinicians and nursing staff. Nurses are in charge of appropriate and timely sampling as part of their daily duties, and they closely review patient medications and responses to treatment. In addition, they are well-placed to initiate discussions about antibiotics, including the “antibiotic time-out” and the switch from intravenous to oral treatment, and are key to informing and educating patients (77, 80, 81, 100, 101).
Rapid Diagnostic Testing
Sophisticated molecular and immunochromatographic testing shorten the turnaround time for identification and, to a certain extent, AST, thereby allowing the timely adaptation of empirical antibiotic treatment (79, 82). These exciting new innovations boost the role of the CBL in ABS but are currently not feasible or affordable in LRS. Judicious use of abbreviated biochemical identification can shorten the time-to-identification (102). Likewise, the use of rapid diagnostic tests (Salmonella, Burkholderia pseudomallei) for grown blood cultures can substantially simplify lab processes (26, 27, 103), but their optimal integration within the CBL workflow requires further study. The European Committee on Antimicrobial Susceptibility Testing recently validated direct AST testing from grown blood cultures for key pathogens (104)11 even though it is difficult to achieve this considering office hours, it is an important step to shorten the turnaround time of AST testing.
Communication and Reporting
Reporting should be timely, clinically relevant, understandable and actionable, and should be received at a time when treatment decisions can be made and executed. As an example, the reporting of a Gram stain result for a blood culture at the time of growth guides the well-informed clinician toward the identity and anticipated AMR profile of the causative bacteria (105). Moreover, the “enhanced” reporting of the identity and AST goes beyond simply stating “susceptible” or “resistant.” It involves guidance for the interpretation of results, such as the prediction of cross-resistance. Conversely, not reporting AST results for colonizing or contaminating flora is helpful in decreasing antibiotic overuse (106). Examples of treatment-related comments are the so-called “expert rules,” which use the AMR patterns of bacteria to predict and report their cross- or co-resistance to other antibiotics or to alert for possible identification errors. Standard reporting formulas for interpretation and treatment comments are available (80, 106, 107); however, they need to be verified for comprehensibility and acceptability on site.
Connectivity and Quality Assurance: The Laboratory Information System
A laboratory information system (LIS) is a powerful tool for patient and sample management; in high-income countries it has been demonstrated to shorten time-to-result and timeliness of clinical responses as well as to improve laboratory quality (108–110). A strong and integrated LIS is further a crucial tool for supply and workload management, quality control and financial planning (111). For instance, it can prevent errors in patient identification and transcription (92). LIS contributes to harmonized interpretation and consistent reporting. Examples are the reporting of preliminary results (e.g., electronic messaging and text messaging), the application of expert rules and the addition of treatment-related comments (80). When connected to the patient's electronic medical record, the LIS can be integrated into digital decision support systems. In addition, a well-functioning LIS is pivotal for drug-based or pharmacy-driven ABS interventions such as alerts in cases of incorrect or duplicated antibiotic prescriptions (79, 80) and for aggregating laboratory data into a surveillance report or so-called cumulative antibiogram (see below). There are budgetary barriers for using LIS in LRS, since the hardware and network costs cannot be neglected. A substantial barrier is the cost associated with the introduction of the infrastructure and software (98). Free-of-charge LIS are available and have been listed earlier (92). However, the currently freely available LIS require technological knowledge, have poor standardization and have frequent breakdowns while offering insufficient support for maintenance (112). The creation of an open-source LIS, appropriate for LRS, is thus desirable.
Specific Antibiotic Stewardship Interventions
A review of the appropriateness of empirical antibiotic treatment 48 h after initiation is an accessible and strongly promoted action for ABS. For this “antibiotic time-out,” timely information about CBL results is critical (77, 81). Typically, the “4 Ds” of ABS are reviewed: the diagnosis, the dose, the planned duration of antibiotic treatment, and the possibility of de-escalation (i.e., a switch to a narrow-spectrum antibiotic or to oral antibiotic treatment). Likewise, the so-called cascade reporting (degressive or selective) of AST is recommended. This means that the CBL reports AST results for second-line antibiotics only for bacteria that are resistant to first-line antibiotics. Cascade reporting provides a tool for streamlining antibiotic treatment from broad-spectrum to narrow-spectrum, thereby reducing antibiotic exposure and associated adverse events (83). Contextual barriers to AMS, such as physician awareness of antimicrobial options, the fear of retribution for adverse outcomes, and the degree of engagement of administrators and allied professions must be identified and addressed (113).
Cumulative Antibiogram (Cumulative Antibiotic Susceptibility Report and Antibiogram)
The cumulative antibiogram is the product of AMR surveillance at the hospital level, as it combines culture and AST results for routinely submitted samples. It can be used to evaluate AMR for selected target bacteria for shorter periods and to stratify data at the ward level (114). The Clinical Laboratory Standards Institute provides extensive guidelines for developing and presenting cumulative antibiogram reports (115). However, processing raw laboratory data into a correct and readable report requires expertise (deduplication, verification, and expert rules) and is challenging (116, 117). The cumulative antibiogram offers a local “baseline AMR” allowing the hospital ABS team to adapt international and national antibiotic treatment guidelines to the local context. As an example, in a rural pediatric hospital located in the Democratic Republic of the Congo, cumulative antibiogram data led to improved antibiotic treatment of children admitted with bloodstream infections (118).
Reporting of Information to Staff
The CBL should ensure the distribution of guidelines and reports (in particular the cumulative antibiogram) to care providers (clinicians and nursing staff), the hospital management and the ABS and IPC teams (see below) (119). Further distribution within the health hierarchy is valuable, as cumulative antibiogram data from samples from community-acquired infections can feed clinical algorithms and can be incorporated into electronic clinical decision support tools at the first level of healthcare (24).
Education
Provider education is key to understanding and interpreting policies and actions related to ABS (120) and IPC (see below). There are many opportunities, formal and informal, for education in CBL. Beyond refreshing basic knowledge on bacteria and antibiotics in a contextual setting, efforts should also target the correct interpretation of cultures, AST results and cumulative antibiograms, as the in-depth understanding of trainees may be overestimated (120). Information may be diffused through posters and flyers and electronic newsletters, and CBL staff can contribute to the review of de-identified cases (121). Note that education by itself, although conducive to understanding, is not effective by its own and needs to be supported by more persuasive administrative tools (83).
The Clinical Bacteriology Laboratory Contributes to Infection Prevention and Control
Infection prevention and control programmes are effective tools to reduce health care-associated infections. The clinical bacteriology laboratory can contribute actively and passively to IPC activities. Key activities will be described in this section.
Table 3 lists the tasks and roles of CBL in hospital IPC according to the WHO “Guidelines on the Core Components of IPC Programmes.” The Core Components are based on a systematic literature review and the Grading of Recommendations Assessment Development and Evaluation (GRADE) approach (119). Compared to the 2009 version, the 2016 WHO IPC guidelines have embraced AMR and focused on the integration of IPC with water, sanitation and hygiene (WASH), to which CBL can effectively contribute (119). Furthermore, depending on their training and competence, CBL staff can contribute to IPC guidelines (design, implementation and monitoring) and IPC educational activities (Core Components 2 and 3, respectively) (122). Education about the habitats and epidemiology of bacteria that cause health care-associated infections (HAI) is important for the understanding of IPC measures (123). In high-income countries, the CBL also contributes because clinical microbiologists trained in IPC often chair the hospital infection prevention and control committee (122, 124). In remote and small hospitals in LRS, skilled microbiologists, however, are rare (see below).
Table 3. How the Clinical Bacteriology Laboratory can contribute to Infection Prevention and Control in hospitals.
IPC surveillance is an effective tool to monitor and reduce HAI (119). CBL can contribute to active, IPC team-initiated surveillance activities, which may be ward- or procedure-specific (e.g., focused on the intensive care unit or on catheter-related bloodstream infections, respectively) (119). Although CBL can improve the standardization and accuracy of IPC surveillance definitions (119), clinical specimens for CBL should be carefully selected in light of diagnostic stewardship. As an example, cultures grown from superficial wound swabs and urinary samples obtained from indwelling catheters are not per se indications of a healthcare-associated infection, given the (abundant) presence of colonizing and contaminating bacteria (Table 2) (4). In addition, the CBL needs to alert the IPC team in time of patients infected or colonized with bacteria subject to isolation precaution practices (“alert bacteria”), such as contact isolation for MDR bacteria (122–124).
Passive surveillance is CBL-initiated and consists of collecting routine cultures and AST data periodically. This can provide ward-stratified information about HAI and their AMR profiles, which in turn helps to define priorities for IPC programmes and allows the benchmarking and monitoring of IPC activities (119). In addition, the daily review of CBL data may offer early warnings of outbreaks of HAI (119); the epidemiological thresholds of healthcare-associated outbreaks may be low [>1 patient in case of group A post-puerperal infection (128)], but microbiological and basic clinical clues (invasive devices and procedures) may raise suspicion (Table 3). As is the case for ABS, this is part of the “liaison” between CBL and IPC teams, which is characterized by bidirectional communication and good interpersonal relations (124, 126).
The key activities of CBL for IPC include obtaining and processing samples to investigate the reservoirs and transmission routes of healthcare-associated outbreaks (119)12. The selection of sampling sites and items in the hospital environment should be directed by a competent member of the IPC team. Epidemiological data and observations of the patient-care setting can guide the sampling (122)12, which should take place as soon as possible during the outbreak. Whenever possible, molecular typing of outbreak-related bacteria should be performed to identify its relatedness with clinical bacteria (for instance, in the national reference laboratory). In the absence of such “molecular fingerprinting,” phenotypical aspects (rare species and specific biochemical and AST patterns) may be indicative of the role and identity of the causative organism (124)12. Screening for carriers (in stool and nasal swabs and on finger tips) among patients and providers should be restricted (122), particularly in the context of LRS. Likewise, “routine” environmental surveillance (i.e., sampling beyond the context of outbreak management, research, or educational purposes) is not recommended (122, 129).
Regarding WASH, the CDC guidelines recommend monitoring water used for dialysis (122)12. Given the serious problem of safe water in health facilities in LMIC13, CBL can also conduct monitoring of the bacteriological quality of water and water-derived products, particularly for high-risk patients and procedures. Notable sources of healthcare-associated outbreaks in LRS include inappropriately used “multidose” or “multiple-use” vials of reconstituted medicines and contaminated in-use disinfectants and soaps (130, 131). They are frequently overlooked as serious risks, as are other practices embedded in nursing care in LMIC (132). Bacteriological cultures obtained from such contaminated materials often constitute an “eye opener” for staff and can contribute to better risk perception (Figure 1).
What Can the Clinical Bacteriology Laboratory Learn From the HIV, Tuberculosis and Malaria Programmes?
Due to initiatives in the treatment of HIV, tuberculosis and malaria, improvements in laboratory medicine in Sub-Saharan Africa have been observed in recent years. The ways in which clinical bacteriology have benefited from these achievements is described in the following section.
Laboratory Medicine in Sub-Saharan Africa: Progress in HIV, Tuberculosis, and Malaria
Laboratory services for the diagnosis and control of HIV, tuberculosis and malaria (commonly known as “the big three”) in Sub-Saharan Africa have been transformed and tremendously improved (14). Through the improvement of national reference laboratories, a network of diagnostic services has been built and coached toward accreditation (93, 94). However, this “decade of remarkable progress” (93) has mainly been confined to the aforementioned vertical disease programmes. Moreover, a recent series of personal review papers has deemed pathology and laboratory medicine (“PALM”) services in Sub-Saharan Africa as insufficient in terms of scope, access, and quality (25). Clinical bacteriology was evaluated as the most lacking in quality management and as showing inadequate performance (92, 133). Table 4 lists the challenges and requirements for the sustainable implementation of medical laboratories at the programmatic (PALM) and operational (CBL) levels.
Table 4. Challenges and needs for implantation of Clinical Bacteriology Laboratories at the hospital level in low resource settings, specifically in Sub-Saharan Africa.
What Can Clinical Bacteriology Adopt and Learn From This Progress?
The above-described progress in the vertical “big three” laboratory services was based on advocacy, global investment, laboratory innovation, and common commitment (41). Although the intended spill-over of laboratory capacity improvements to horizontal health services has been modest (92), clinical bacteriology can benefit from these achievements. Box 4 lists examples based on recent references (41, 92–95, 98).
Advocacy by Leading African Organizations
Advocacy is fundamental. The African Society for Laboratory Medicine (ASLM)14 is a pan-African organization for laboratory professionals endorsed by the African Union, which “coordinates, galvanizes and mobilizes relevant stakeholders to improve local access to world-class diagnostic services.” Launched in 2011, ASLM has been essential in strengthening the organization of competent laboratory services embedded in national networks and coaching them toward accreditation. Although initially focused on the “big three,” ASLM currently addresses the entire spectrum of laboratory medicine and has embraced AMR surveillance, ABS and IPC (134–136).
Donor Commitment and Coordination
Likewise, donor commitment is important. Thematic donor support for containment is starting up (28), but as AMR crosses disciplines and sectors, donors may be more fragmented and dispersed compared to the “big three” main funding agencies (24). Importantly, donor support and partnerships need to be coordinated at the national level, and country leadership is crucial. Furthermore, the private sector needs to be engaged from the beginning, as private laboratories play a notable role as providers of laboratory medicine in Sub-Saharan Africa (98, 137). In close association are research groups conducting operational research in surveillance, ABS and IPC (96). HIV programmes have benefited from public-private partnerships to provide laboratory diagnosis and monitoring, but it is recommended to engage in clear communication and to explicitly define the role of each partner (94). A similar scenario can be considered for CBL, taking into account some particularities. For instance, given the wide range of consumables combined with the need for rationalized testing (27), equipment leasing using reagent-based contracts on an exclusive supplier basis may reduce the flexibility and autonomy of CBL and drive up costs.
Tiered and Integrated Laboratory Networks
The strengthening the laboratory services in Sub-Saharan Africa since 2008 has utilized tiered and integrated laboratory networks that are overseen by National Reference Laboratories, which are in turn interconnected at the supranational (e.g., at the WHO-AFRO) level (Figure 2). “Integrated” means that each laboratory is connected with a network of laboratory referrals within a tiered system of increasing complexity for laboratory testing (39, 97). For CBL, testing menu examples at each level still need to be made. Of note, this network approach facilitates the standardization of procedures, equipment and consumables, which is most beneficial to CBL given its impact on training, supply, maintenance, quality assurance programmes, and pricing.
Accreditation and Training
The laboratory networks are coached via a process to achieve accreditation, i.e., the formal recognition of competence. WHO AFRO has established a framework for improving the quality of public health laboratories in LMIC to achieve ISO 15189 standards. This framework, implemented by ASLM, is the Stepwise Laboratory Quality Improvement Process Toward Accreditation (SLIPTA, Box 4) programme. Education and in-service training are provided by innovative contextual teaching tools such as the Strengthening Laboratory Management Toward Accreditation (SLMTA) toolkit. The SLMTA toolkit contains valuable approaches for the clinician-laboratory interphase (e.g., “Meet the Clinician” sessions), and its extension with CBL applications has been recommended (27, 41). Notably, compared to clinical chemistry and hematology, CBL is less amenable to standard quality management (due to a lack of quantitative data, multiple parameters, and sampling and transport conditions); therefore, a specific qualitative approach with an emphasis on embedment in clinical care is recommended (27, 92, 138). Options for participating in external quality assessments are, however, rare. An original component—so far performed only in high-income countries—is an internal quality assessment consisting of the “resubmission” of clinical samples (i.e., reregistering and reprocessing) (139).
Laboratory Infrastructure, Work Force, Metrics, and Connectivity
Laboratory support comprises assistance in terms of infrastructure as well as technical, procedural and management requirements. A sigh emphasis is placed on care for the laboratory workforce, including retention strategies and career paths. However, an unintended downside of creating a laboratory-support sector has been that competent laboratory staff have been attracted away from front-line horizontal health services, where competent CBL staff are frequently limited (98).
Metrics are key to monitoring the implementation process, and monitoring is essential for assessing progress, (re)directing activities and appealing to accountability. This boosts confidence among providers and health authorities and provides arguments for sustained commitment to CBL in a hospital. For microbiological surveillance, the GLASS reports provide an excellent tool for inter-country and longitudinal monitoring (57). Regarding sample transport, Southern and East African countries with high burdens of HIV and tuberculosis have worked out integrated specimen referral logistics, frequently in the context of public-private partnerships, which can be extended to CBL (140)15.
Point-of-Care Diagnostics
Point-of-care diagnostics (POC), or rapid diagnostic testing, have improved the coverage and speed of testing for HIV, tuberculosis and malaria. However, for CBL in LRS, apart from those mentioned above—triage at the first-line, speeding-up of identification and AST of grown cultures—innovations that promote rapid phenotypic AST are not expected in the short-term. Crucially, POC tests do not replace laboratories but are complementary, and their intended use must be well-conceived and validated (43, 98). As an example, the unfocused rolling-out of malaria rapid diagnostic tests resulted in an excess of brands and products with variable accuracies and differences in procedures, hampering harmonization, and user-friendliness (98, 141). Furthermore, the implementation of malaria rapid diagnostic tests resulted in errors along the chains of selection, procurement, procedures, and interpretation as well as manufacturing shortcomings. These findings highlight the need to implement POC in well-established medical and laboratory networks, rather than as stand-alone solutions (142–145).
Diagnostic Tools for the Clinical Bacteriology Laboratory in Low-Resource Settings
Scientific literature about diagnostics for AMR is mainly technocentric and driven by needs in high-income markets (24, 28), despite the growing markets in LMIC (146). The present section discusses market challenges and opportunities along the diagnostic pipeline, and a large portion of the information was obtained from the gray literature.
Diagnostic Tools for Clinical Bacteriology Compared to Those for HIV, Tuberculosis, and Malaria
CBL face several major limitations in their diagnostics panels, such as the overall low sensitivity and speed of blood cultures and the long turnaround time of AST (27, 62). Molecular methods can partly address these challenges, but in view of accuracy, complexity and cost, they are not yet suitable for most LRS (24, 27). Further challenges for CBL are the specific spectrum of “tropical” pathogens [such as Salmonella Typhi (enteric fever) and Burkholderia pseudomallei (melioidosis)], the diversity of consumables and the need for “tropicalization”, i.e., protection against heat, humidity and dust (27). Compared to single disease programmes, diagnostics for CBL have been largely neglected over the last several decades. This has resulted in the paucity of LRS-adapted tools currently available or foreseen in the near future (24). Given the lack of harmonization and low volume testing (see below), access and supply constitute additional barriers (27).
Diagnostic Tools for Clinical Bacteriology: Poor Regulatory Stringency
According to international guidelines (adopted by the WHO) (147)16, culture media and stains used in CBL are categorized as “low risk” diagnostics; therefore, regulatory scrutiny is minimal. As an example, pre-market authorization of diagnostics does not require the results of performance testing or quality management audits for manufacturing (147). This means that a diagnostic can be marketed without extended or published information about its performance (precluding comparison with other products), and this also means that significant lot-to-lot variations in performance and stability may occur. This laxity hampers CBL diagnostics compared to those used for malaria, tuberculosis and HIV, which are categorized as “moderate-high” and “high risk,” respectively, and are subject to more stringent regulations (148). In addition, regulations in high-income settings do not cover real-life situations in LRS, such as environmental conditions (temperature, humidity, and dust) and limited end-user education and training. The WHO Prequalification of in vitro Diagnostics (149) aims to provide vital technical and procurement support for diagnostics, including product performance testing and manufacturing site inspections. The emphasis is placed on the suitability of diagnostics for the specific environmental and human conditions in LRS, particularly in areas without strong regulatory oversight. However, for the time being, the WHO Prequalification focuses on “priority diseases” such as HIV/AIDS, malaria, hepatitis B and C and does not address diagnostics for CBL.
Substandard Diagnostics and the Role of Professional Organizations
Substandard and counterfeit (falsified) medical products (“SF medical products”) (147) have rarely been reported for general laboratory diagnostics, although this may, in view of anecdotal but consistent observations, constitute non-recognition and underreporting (29, 150). Customer awareness that is supported by a solid (supra)national legal framework (including vigilance systems and post market surveillance) is pivotal to assess the nature and scale of the problem. The proposed use of unique IVD identifiers and track-and-trace technologies may help to detect SF products in the supply chain (147). Likewise, international professional associations may be “whistle-blowers” for SF products and incite corrective actions from the manufacturer's side, as done by the European Committee on Antimicrobial Susceptibility Testing (EUCAST) for AST disks17.
Diagnostics From Concept to Adoption: Market Interventions
To fuel the diagnostic pipeline, CBL providers and regulatory authorities must align with product developers and manufacturers, especially given the long and costly process involved in the development of diagnostics (27). Market challenges are concentrated around three factors: (i) non-awareness of market needs by manufacturers, (ii) downward pressure on pricing for LMIC diagnostics and (iii) the increased investment needed to generate evidence to support the adoption of new diagnostics (24).
Target Product Profiles (TPP), which list the needs and assets for a given diagnostic in a given setting, are instrumental for communicating diagnostic requirements to developers and manufacturers (24). A preliminary market analysis and a brainstorm session with a multidisciplinary team are conducive to drafting TPP. TPP include intended use, target population, accuracy, time-to-results and cost, as well as items related to deployment in LRS such as the intended end-users, training needs, shelf life and environmental stability (151–153).
The second challenge occurs when commercializing and scaling up the production of diagnostics. Downward pressure on the pricing of diagnostics, as well as production scale-up that is too rapid and lead times that are too short, may impact the manufacturing quality. This has been observed for malaria rapid diagnostic tests (145). By contrast, the standardization of equipment and consumables at the (supra)national level can increase sales volumes and consequently decrease prices (see above). Furthermore, technology transfer in the local production of diagnostics in LRS is a valuable option (154). This is particularly true for CBL, as many stains (like Gram stain) are categorized as “dangerous goods” by the International Air Transport Association (IATA)18. For CBL, centralized media production facilities can assure ready-to-use quality-assured culture media at affordable prices and customized volumes (27).
The investment (time, costs, and effort) required for clinical studies of diagnostic performance in real-life situations in LRS is substantial and ever increasing. Therefore, it is perceived as a third challenge by developers and manufacturers. As an example, the U.S.A. Food and Drug Administration-compliant approval of a blood culture system requires a comparative clinical trial with approximately 8,000–9,000 blood cultures (155). Standardized open-access protocols for high-throughput in vitro (phase 2) reference testing on contrived samples should be developed to preselect products for clinical studies. Likewise, the biobanking of geographically representative clinical strains from LRS is pivotal to compile representative “tropical” panels for the analytical validation of identification and AST diagnostics. Finally, sample study protocols and evaluation criteria must be publicly available, and diagnostic products may be tested in combined trials at dedicated trial sites (24).
The harmonization of regulation will make the market more attractive to manufacturers. An example is the Pan African Harmonization Working Party on Medical Devices and Diagnostics (PAHWP) (148). The harmonization of regulation facilitates market entry and avoids the duplication of product testing at the country level (148). Furthermore, market shaping can be done by procurement strategies. One of the largest funding agencies of vertical disease programmes, the Global Fund to Fight AIDS, Tuberculosis and Malaria (Global Fund), is making large-volume diagnostic procurements (via a pooled procurement mechanism) based on a combination of price, quality, innovation and the total cost of ownership (i.e., product cost combined with indirect costs such as transport, lot testing, training and quality control). To assure market viability and manufacturer buy-in, the PPM system commits to annual product volumes that allow manufacturers to optimize their production plan and to strengthen their quality management system (156).
The WHO Model List of Essential in vitro Diagnostics
The WHO EDL (see above) provides evidence-based guidance to facilitate the appropriate choice of diagnostics. In line with the already established WHO Essential Medicines List, the WHO EDL is expected to promote access to quality-assured IVDs among health professionals, industry, policy makers, and regulatory authorities. Beyond this, the WHO EDL will provide guidance for the harmonization of diagnostics and external quality assessment programmes and facilitate the group purchasing of diagnostics and orienting (43).
Diagnostics—The Business Model for the Clinical Bacteriology Laboratory
Surprisingly, little has been published on business cases for CBL in LRS, although knowledge of prices and cost-effectiveness are essential for the acceptance, adoption and sustainability of diagnostics.
At the procurement level, CBL differs from HIV, malaria and tuberculosis. First, the number of consumables (reagents and commodities) needed for CBL is much higher and more diverse, and there is a plethora of manufacturers and suppliers. Second, CBL cannot count on disease-specific international programmes and funders and thus cannot take advantage of large volume procurements and market shaping. Consequently, bulk discounts (28) are not granted for CBL, and prices may be volatile. Furthermore, in other sectors (such as malaria RDTs), it has been observed that, outside of competitive tenders, manufacturers may charge predatory prices for sole source orders (145). Data are rare, but it is estimated that the price for blood cultures in LRS is twice as high as in high-income countries (24).
Regarding price setting for laboratory testing, recent research in the laboratory diagnosis of tuberculosis in India demonstrated a lack of transparency about the breakdown of non-reagent laboratory costs. Furthermore, unwanted practices such as providing incentive fees to referring doctors (an illegal practice in high-income countries) further inflated prices. When asked about price setting for new diagnostic tests, laboratory managers declared that pricing would be set at a 400–700% mark-up on the reagent price, taking into account the patient's willingness to pay (30).
Adding to these challenges is the relatively low cost-effectiveness of CBL. The cost of current antibiotic treatment for bloodstream infections is still relatively inexpensive and consequently does not outweigh the cost of cultures and AST (24). This is in contrast to HIV, malaria and tuberculosis, where even more expensive diagnostics outbalance the costs of treatment (24, 145). Furthermore, the “one who pays” makes a difference in cost-effectiveness (28); in LRS and in the absence of a subsidized projects for CBL (such as the AMR surveillance projects described in Box 5), costs are passed on to the patient and do not necessarily impact hospital management (28). An example of a feasible and cost-effective laboratory strengthening intervention in Ethiopia is shown in Box 6.
Box 5. Microbiological Surveillance at the hospital level: Examples from Cambodia—DR Congo
Microbiological surveillance at the hospital level had impact on the local, national, and international (global) level (10). Below are examples of Cambodia and the Democratic Republic of the Congo (DR Congo). Surveillance data were obtained as part of capacity building projects subsidizing consumables for blood culture surveillance.
Box 6. Implementing Clinical Bacteriology in Low Resource Settings–an example of a feasible and cost-effective laboratory strengthening intervention in Ethiopia
Setting: Tikur Anbessa Specialized Hospital (TASH) is an 800-bed public tertiary care hospital in Addis Ababa Ethiopia, considered low resource but moderate infrastructure. The hospital provides referral services for about 200,000 inpatients and 330,000 outpatients annually in Obstetrics and Neonatology, Hematology-Oncology and Complex Surgical care for Adults and Pediatric patients referred from around the country.
Funding: The federal government funds hospital operations allocating an annual budget for employee salaries and for running costs, but in addition, patients are charged for some of their medical costs (some antibiotics, laboratory and radiological tests) depending on ability to pay and availability of drugs in pharmacy stocks.
Context prior to the laboratory-strengthening intervention:
• Existing bacteriology laboratory with a skeleton staff
• Processing of low volume of specimen (fewer than 2 blood culture specimens per day, despite the complexity of patients treated)
• Problematic quality of results, inconsistent use of Standard Operating Procedures (SOP) and poor relationships with clinicians
• On any given day, 80% of in-patients on medical and pediatric wards and 100% of ICU patients are on broad-spectrum antibiotics
• Less than 1% of inpatients had had microbiological workup
Example of a minimal bundle for CBL strengthening (adapted from CLSI-QMS01-A guideline)
• Prioritizing Blood Culture processing to diagnose Blood Stream Infection
• Implementation of 12 core SOPs including standardized identification and susceptibility testing
• Training and supervising of laboratory personnel via consultant visits and existing online training
• Implementation of a practical Quality approach (169)
Who pays? For proof of concept, the intervention was funded externally:
• An automated blood culture equipment (BacT/ALERT, value estimated at 150,000 $CAD, donated from bioMérieux)
• First year costs of reagents for processing blood culture specimens for in-patients: 35,000$/year (5,000 blood culture specimens) invested by research funds (RI-MUHC)
• Patients not charged for costs of blood culture testing
What does success look like?
• In the first 18 months after implementation, the volume of specimens processed in the CBL increased from <15/day to >75/day
• Standardized identification and susceptibility testing performed for blood cultures and a cumulative antibiogram developed for the institution – demonstrating exceedingly high rates of Enterobacteriaceae were resistant to 3rd generation cephalosporins (>85% resistance) and to carbapenems (>10%) (170)
• Availability led to recognition of critical importance of CBL, and facilitated first steps toward implementing an antimicrobial stewardship intervention in the institution
Cost effectiveness is not a straightforward equation
• Implementation of laboratory laboratory-strengthening intervention can lead to initial increase in antibiotic expenditures when prevalence of drug-resistant infections is high
• In the first year after implementation of the CBL strengthening intervention: total antibiotic expenditures (not including antibiotics purchased by inpatients from outside pharmacies) amounted to 9,853,453 Ethiopian Birr (447,885 USD) equivalent to 18% of the total pharmacy budget and significantly higher than the year before; the increase in costs were driven by increased use of meropenem and vancomycin (4 antibiotics accounted for 66% of the total antibiotic budget)
• After the first year: A subsequent CBL-supported pharmacist-led antimicrobial stewardship intervention allowed discontinuation or modification of antibiotics in >50% of cases – leading to savings of 1,000,000 Ethiopian Birr (36,000 USD) over 8 months
→Investing in CBL is cost effective provided it is combined with a stewardship intervention and supported by senior administration to ensure sustainability
The absence of a workable business plan for CBL has undesirable effects. First, high prices for culture media drive CBL to implement the in-house preparation of complex culture media, such as blood culture media, compromising quality and harmonization (24). Moreover, the prohibitive out-of-pocket costs will drive patients and doctors to overtreat with antibiotics and lead to the underuse of the CBL (28). As a result, CBL in LRS are caught in a cycle of low supply and demand. The number of samples processed frequently does not reach the critical volume needed to acquire and maintain quality and experience (27) and further pushes prices upwards while increasing the burden resulting from expired media. The absence of a positive business case is therefore a roadblock to the implementation and sustainability of CBL and AMR surveillance in LRS and needs to be addressed.
A Role for a Global Alliance for Diagnostics
The sustainability of CBL requires a healthy market and business mechanisms and predictable, long-term financing (171). In a recent series of papers about pathology and laboratory medicine in LMIC, Horton and coworkers highlighted the potential role of global alliances (28). The GAVI Alliance (formerly the Global Alliance for Vaccines and Immunization) is a potential role model19. The GAVI alliance is a global health partnership of public and private sector organizations dedicated to “immunization for all.” It offers a forum for policy making, advocacy, and strategy and priority setting and strives for in-country ownership and sustainability (e.g., county co-funding and trajectories that promote a gradual reduction of support). A similar global alliance for diagnostics (“GAMDI,” which is similar to GAVI but for diagnostics) has been proposed (171) to address market shortcomings and ensure sustainable funding for essential diagnostics with commensurate country commitment. The WHO EDL can be the first step in creating such an alliance (42).
Workforce: Promote the Expanding Role of the Clinical Bacteriology Laboratory
The movement of the clinical bacteriology laboratory to the hospital referral level and the expansion of ABS and IPC puts extra strain on the laboratory workforce. It requires broad competence and expertise in the workforce. The section below discusses the preparation of LRS CBL staff for their expanded role. As the literature on CBL training is virtually non-existent, most data are relevant to general laboratory medicine.
The Need for a Skilled Workforce at the Clinical Bacteriology Laboratory
The assumption of roles in CBL besides those needed for daily processing of routine patient samples creates new requirements that compound the existing communication gap between clinicians and laboratory staff. Despite the efforts that have been made (e.g., SLMTA trainings, meet-the-clinician sessions), communication between clinicians and laboratory staff is still limited, as laboratory staff are focused on the laboratory work-up and have little few influence on decision-making processes, antibiotic stewardship and infection prevention and control (27, 172, 173). For AMR surveillance, CBL staff face challenges such as the ever changing and difficult-to-understand CLSI guidelines (174, 175) and the complexity of the cumulative antibiogram (115–117). Furthermore, confidently implementing ABS and IPC requires an understanding of healthcare infection dynamics, knowledge of antibiotic treatment, and familiarization with in-hospital nursing and technical processes. Excellent communication and teamwork skills are also valuable assets (122, 124). In high-income countries, these roles are assumed by medical professionals. Their exact titles may vary (e.g., clinical microbiologist, clinical pathologist, and medical microbiologist) as well as their degree of involvement in ABS and IPC, but they are all trained and board-certified to oversee the AMR components (80, 176).
The Reality Gap: Laboratory Staff in Low-Resource Settings—and How to Turn the Tide
In LRS, CBL are mostly staffed by laboratory technicians (Box 3) (39, 42), who also contribute to other laboratory services and take part in night and weekend shifts. The LRS equivalent of the clinical microbiologist is rare and ill-defined (25), and most CBL are overseen by a manager with little expertise in CBL (27, 92, 177). Human resource management in general laboratory medicine in LMIC is rare (98), and this is particularly the case for CBL (27, 92). Furthermore, there is a high laboratory staff turn-over rate in all African countries (47). Ironically, the revival of laboratory services for HIV, malaria, and tuberculosis (93, 94) has drained skilled staff away from the “horizontal” healthcare system in Sub-Saharan Africa, as does the booming private sector (28).
Furthermore, the term “laboratory staff” and its shorthand term “lab tech” cover a myriad of job titles and profiles that differ among countries and are not always consistently defined and certified. Examples are “laboratory technologist” vs. “laboratory technician” (the former being more highly qualified), both of which are used in guidance documents (47). The numerous other cadres involved in CBL are also crucial: phlebotomists, ancillary laboratory workers (auxiliary staff and “lab aides”), information technologists, equipment maintenance staff, quality assurance, and biosafety/biosecurity officers, and cleaning and waste management staff (39, 47). In addition to the gaps between these groups, there are communication mismatches due to the perceived differences in authority between academically qualified clinicians and laboratory staff with basic training (27).
The closing this human resources gap requires broad actions that address job profiles, pre-service and in-service training and active retention plans that are supported by advocacy and regulations within the scope of national laboratory networks and plans (47).
Job Descriptions and Professional Profiles
In light of the above, the WHO AFRO guidance recommends creating job descriptions for all categories of laboratory staff within the national laboratory network (47). Professional associations (see below) can assume the role of drafting job description templates, which define roles, responsibilities and the qualifications required and list particular competences for all cadres of the CBL staff. Regarding patient care and the processing of samples at the bench, specific CBL requirements apply, for instance, to phlebotomists (blood culture sampling) and biosafety officers (safe destruction of blood cultures) (47). For AMR surveillance, examples of minimum ABS and IPC competencies could include GLASS-compliant data reporting, timely and competent reporting of preliminary culture results and the performance of environmental culture sampling as part of hospital-outbreak investigations. Job descriptions provide a further basis for near-future competence performance and registration (47).
Pre-service Training: Education and Curricula at Vocational Schools
Although recognized as crucial (47, 93), there is surprisingly little published information about pre-service curricula for laboratory staff. Arneson et al. (178) described their recent experiences in designing and implementing a new medical laboratory curriculum at different universities in East Africa. The starting point was the observation that the superseded curriculum focused on recall rather than on problem-solving competencies. Furthermore, pre-service education shortcomings included the low availability of teaching staff, insufficient skill in the use of electronic teaching media, and the lack of availability of hands-on training facilities and consumables (178). Table 5 lists recommendations for building a curriculum for medical laboratory staff.
Table 5. Recommendations for designing and implementing a pre-service curriculum for clinical bacteriology laboratory technicians.
In-service Training, Continuing Education Programmes, and Mentorship Programmes
In-service training primarily focuses on the requirements and qualifications needed for daily tasks in the laboratory. More broadly oriented training can be provided in the scope of continuing education programmes, stand-alone courses and distance learning. In-service training fits into the process of competency assessment and laboratory accreditation. Beyond this, training contributes to personal development, confidence, and leadership—all important for staff retention (39, 47, 93). Furthermore, mentorship programmes and short-term visitor programmes have been promoted and are effective according to the above-mentioned review regarding pathology and laboratory medicine in Africa (98).
Train All Laboratory Cadres and Train Different Hospital Teams Together
All cadres (including phlebotomists and support staff) irrespective of their geographical location should participate in in-service training (47). Whenever possible, “mixed” trainings—i.e., with both clinicians and laboratory staff and that expose laboratory and clinical staff to their counterpart's setting are encouraged. Examples are the “meet-the-clinician” sessions in the SLMTA training (39, 177, 179), which should be supplemented with contextual AMR cases. Given the liaison between CBL ABS and IPC, common trainings should also involve the ABS and IPC teams as well as nursing staff—in view of their central role (see above). An interesting experience (developed in high-income countries but obviously attractive to LRS) is the so-called “plate round” (Figure 3) (84).
Figure 3. During so-called “Plate Rounds,” clinicians and laboratory staff meet in the laboratory and discuss selected cases of infections in a didactic setting. Culture plates including AST results are shown and discussed (e.g., de-escalation of antibiotic treatment (84). Moreover, Plate Rounds can be connected to remote expert advice by telemedicine (180). Originally conceived as a training tool applied in academic medical centers, Plate Rounds provide excellent opportunities for diagnostic and antibiotic stewardship and create liaisons between clinicians and laboratory staff, trainees and in case pharmacists and IPC team (84). The pictures above are “Plate Rounds” set-up during the short course “Hospital-based Interventions to Contain Antibiotic Resistance in Low-resource Settings” at the Institute of Tropical Medicine. Participants of the microbiology track demonstrate case-based laboratory cultures to their colleagues from the antibiotic stewardship and infection prevention and control tracks (181). Written informed consent was obtained from the individuals for the publication of this image.
Laboratory Supervision
To be effective, training must comply with regulations and be monitored with an effective supervisory strategy embedded in the national laboratory health plan (47). Such a strategy includes integrated and harmonized supervisory visits within the tiered laboratory system and mechanisms for feedback and remedial action (47).
Staff Retention: Remuneration, Workplace Improvement, Training, and Research
Adequate compensation and remuneration are essential for staff retention and motivation (39, 93, 98). Indirect tools for professional recognition also have an impact on existing staff. Such tools include infrastructure renovation and personal development by training (see above) and research (see below) (47, 93). The National Laboratory Strategic Plans developed by countries should outline staff requirements (numbers, qualifications, and their distribution) with an emphasis on under-served areas and identify adequate financial resources (47).
African experts promote research as a valuable tool to strengthen national health laboratory network systems (47, 93). Research can be conducted at all levels of the network but should be prioritized and coordinated by a National Research Plan. Apart from generating information vital for developing and implementing CBL (27) and guiding public health measures, research is beneficial for staff capacity building (93). AMR surveillance and research regarding ABS and IPC are therefore opportunities for the CBL. However, a shortage of academically trained laboratory scientists, as well as a lack of career advancement opportunities for them in many LRS institutions, may hinder the exploitation of these opportunities (182, 183).
Advocacy and the Role of Professional Associations
The paucity of published literature about pre-service training and the unclear professional profile of laboratory staff in LRS (25) are in part due to the low representation by professional CBL associations. Professional associations provide information and dedicated training, legal advocacy, mentoring and career guidance to professionals (184). They can generate job descriptions and competency assessments and regulate the certification and registration of professionals (47). The representation of laboratory professionals at decision-making levels and in in-country medical laboratory councils is needed (93). As is the case for pathologists, clinical microbiologists in LRS should be more visible in their professional life and contacts with the public health authorities, students, and early career professionals (28). African institutes (ASLM and the African Union) obviously can play a pioneering role in this regard, and counterpart professional associations in high-income countries can facilitate this (28). The WHO recently published a comprehensive document about biomedical engineers (184), which was highly instrumental for future professionals and stakeholders (vocational schools, health authorities and industry). Similar analyses would be highly useful for CBL and other laboratory staff.
Other Challenges for Clinical Bacteriology Laboratories at the Hospital Level in Low-Resource Settings
The paragraph below briefly discusses other challenges and advantages for the clinical bacteriology laboratory at the hospital level in low-resource settings. In such conditions, selecting feasible targets and developing creative solutions is key. Priorities for research and action are highlighted.
Size Matters
Most hospitals in Sub-Saharan Africa are small (185). This not only puts a strain on the CBL staff but also means that staff that are competent in ABS and IPC are rarely present (81). However, community hospitals in the USA and Australia, when facing similar problems, also demonstrated the advantages of being small in size via the encouragement of personal interactions and a culture of collaboration, centralized management and support, and flat governance structures that stimulated ownership and commitment—all of which are pivotal for successful CBL, IPC, and ABS (186–189). Furthermore, task shifting may be considered; in the absence of qualified microbiologists, trained clinicians may take up the role of liaison with the CBL (Box 3) (92), and trainees and pharmacy technicians may take on daily tasks involved in ABS (189). In addition, telemicrobiology may facilitate connections with experts (190), although regulations have to be created and conditions favoring adherence and sustainability need to be studied (186).
Remote and Rural: Sample and Data Transfer
Connectivity is key for referral hospitals located in rural and remote settings. Detailed information on transport conditions and optimal delays for the transfer of clinical samples from first-line referral centres can be found in published guidelines (69). Blood culture bottles can be used for bed-side inoculation and the collection of cerebrospinal fluid, pleural exudates, and joint fluids (69, 191). Flocked and foam swabs may be attractive for the transport of specimens or isolates (192, 193), but they require the validation of their performance in tropical conditions beyond the CLSI M40-A2 standard (194, 195). Regarding sample transport, efforts, and research should not only address hardware tools such as dedicated containers (196) and drones (197) but also software used for data tracking, result reporting and logistics (198, 199). Business models for transportation can be co-organized with vertical programmes or with the private sector; in Burkina Faso, ASLM worked out an integrated specimen referral system for respiratory diseases via a public-private partnership with the national postal system (140).
Biobanking and Confirmatory Testing
The GLASS manuals (200, 201) highlight the importance of raw data verification and confirmatory testing in cases of unusual and clinically or epidemiologically alarming AMR profiles. CBL in hospital laboratories could be alerted by “flags” that would prompt them to send the bacteria to the National Reference Laboratory for confirmation. Based on the experience of the authors, the impulse to store and ship the bacteria may occur too late for timely action, in particular when CBL staff are not acquainted with the expert rules. As part of diagnostic stewardship (Box 3), CBL should therefore define which specimens or culture plates to “keep on the bench” for review or follow-up testing. Furthermore, the raw data recording system (either paper-based or digital) should allow sufficient detail to trace clerical or procedural errors. The WHO “Basic laboratory procedures in clinical bacteriology” describes simple procedures for the short-term storage of bacteria that are feasible in a basically equipped laboratory (202–204). Beyond patient-centred and surveillance purposes, storing bacterial strains (and/or clinical specimens) and combining these with extensive clinical and demographic data in biobanks are essential not only for research purpose but also for the development of diagnostic tools adapted for use in LRS. However, developing biobanks in LRS requires strengthening of biological resource management infrastructures (205). In this perspective, the International Agency for Research on Cancer (IARC) has recently launched the Biobank Learning platform, a freely accessible resource providing learning and training material for professionals involved in biobank-based research in LMICs (206).
Biosafety, Biosecurity, Waste Management, and Environmental Impact
Another consequence of having CBL at district level hospitals is the need for waste management and the regulation of environmental impacts (39, 47). Culture-amplified blood culture specimens and agar plates contain billions of bacteria requiring safe destruction—preferably by autoclaving—before incineration (207). Among them, there are Salmonella Typhi, Burkholderia pseudomallei, and Brucella spp., which are categorized according to the European Union Directive 2000/54/EC (169) as belonging to risk group 3 and therefore requiring stringent biosafety measures. They are also categorized as Category B Bioterrorism Agents (208) requiring enhanced disease surveillance and biosecurity measures (209). During the preparation of the next version of the WHO Laboratory Biosafety Manual (207), the concepts of risk management and sustainable technology will be considered along with the use of measures proportionate to the actual risks in a tiered system (210).
Conclusion
The placement and consolidation of the clinical bacteriology laboratory at the hospital-referral level in low-resource settings facilitates the exploitation of routine patient care data for surveillance, antibiotic stewardship and infection prevention and control. This involves a synergistic tripartite effort at the frontline of the containment of the emergence and spread of multidrug resistant bacteria (211). A major leap forward can be achieved if challenges related to staff, funding, scale and the specific nature of clinical bacteriology are prioritized. Much can be learned from the past decade of laboratory improvements spurred by vertical programmes for HIV, tuberculosis and malaria. The mobilization of resources coordinated by countrywide national laboratory plans and interventions tailored by a good understanding of hospital microcosms will be key to success. This will be further supported by much-needed market interventions and business models for diagnostics. The future clinical bacteriology laboratory in low-resource settings will not be an “entry-level version” of its counterpart in high-resource settings, but a purpose-built, well-conceived, cost-effective and efficient laboratory ready to assume its place at the frontline of antimicrobial resistance containment.
Author Contributions
JJ did the literature review, writing of the initial draft and revisions, figure design, and project administration. LH contributed to literature review, revisions, and provided critical review. MS, OL, TP, DA, CY, and OV provided critical review and commentaries. JJ and OV had the rationale for this work, contributed to literature review, and supervised manuscript revisions. LH additionally contributed to figure design.
Funding
This work was supported by the InBev-Baillet Latour (IBL) Fund for the Bacterial Infections in the Tropics (BIT) research cluster at the Institute of Tropical Medicine (ITM), Antwerp, Belgium. The ITM Antimicrobial Resistance projects with South partners are funded by the Belgian Directorate of Development Cooperation.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
1. ^World Bank. Available online at: https://data.worldbank.org/country
2. ^http://apps.who.int/iris/bitstream/handle/10665/193736/9789241509763_eng.pdf?sequence=1
3. ^http://apps.who.int/gb/ebwha/pdf_files/WHA68/A68_20-en.pdf
4. ^Center for Disease Dynamics Economics and Policy. State of the World's Antibiotics. CDDEP: Washington, DC (2015).
5. ^The Global Health Security Agenda. Available online at: https://www.ghsagenda.org/
6. ^Copenhagen WHO Regional Office for Europe. Central Asian and Eastern European Surveillance of Antimicrobial Resistance (CAESAR).
7. ^Liverpool School of Tropical Medicine. Supporting Surveillance Capacity for Antimicrobial Resistance: Regional Networks and Educational Resources Summary Observations Concerning these AMR networks.
8. ^WHONET Software and Educational Tutorials. Available online at: https://www.who.int/medicines/areas/rational_use/AMR_WHONET_SOFTWARE/en/
9. ^GLASS Country Participation. Available online at: https://www.who.int/glass/country-participation/en/
10. ^Cambodian national policy to combat antimicrobial resistance.
11. ^EUCAST Methodology RAST. Available online at: http://www.eucast.org/rapid_ast_in_blood_cultures/
12. ^CDC2003, updated (2017).
13. ^WHO WASH Infosheet. Available online at: https://www.who.int/water_sanitation_health/facilities/amr-ipc-wash-flyer-nov16.pdf?ua=1
14. ^ASLM. Available online at: http://www.aslm.org/
15. ^GLI. GLI Guide to TB Specimen Referral Systems and Integrated Networks. Available online at: www.stoptb.org/wg/gli
16. ^IMDRF. Available online at: http://www.imdrf.org/
17. ^EUCAST AST. Available online at: http://www.eucast.org/ast_of_bacteria/warnings/
18. ^IATA. Available online at: https://www.iata.org/publications/dgr/Pages/index.aspx
19. ^GAVI. Available online at: https://www.gavi.org/
References
1. World Bank. World Bank Country and Lending Groups. (2019). Available online at: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups (cited May 23, 2019).
2. Manaia CM, Garelick H, Cantas L, Popowska M, Sørum H, Shah SQA, et al. A brief multi-disciplinary review on antimicrobial resistance in medicine and its linkage to the global environmental microbiota. Front Microbiol. (2013) 4:96. doi: 10.3389/fmicb.2013.00096
3. Shallcross L. Antibiotic overuse: a key driver of antimicrobial resistance. Br J Gen Pract. (2014) 604–5. doi: 10.3399/bjgp14X682561
4. British society for antimicrobial Chemotherapy. Antimicrobial Stewardship From Principles to Practice. (2018). Available online at: http://www.bsac.org.uk/
5. The Center for Disease Dynamics Economics & Policy. ResistanceMap: Antibiotic Resistance. (2018).
6. Collignon P, McEwen S. One health—its importance in helping to better control antimicrobial resistance. Trop Med Infect Dis. (2019) 4:22. doi: 10.3390/tropicalmed4010022
7. Prestinaci F, Pezzotti P, Pantosti A. Antimicrobial resistance: a global multifaceted phenomenon. Pathog Glob Health. (2016) 109:309–18. doi: 10.1179/2047773215Y.0000000030
8. Boeckel TP Van, Brower C, Gilbert M, Grenfell BT, Levin SA. Global trends in antimicrobial use in food animals. Proc Natl Acad Sci USA. (2015) 112:5649–54. doi: 10.1073/pnas.1503141112
9. O'Neill J. The Review on Antimicrobial Resistance (2015). Antimicrobials in Agriculture and the Environment: Reducing Unnecessary Use and Waste. Available online at: http://amr-review.org/sites/default/files/Antimicrobials%20in%20agriculture%20and%20the%20environment%20-%20Reducing%20unnecessary%20use%20and%20waste.pdf
10. O'Neill J. Tackling Drug-Resistant Infections Globally: Final Report and Recommendations. AMR-Review, HM Government UK (2016).
11. WHO. Infographic: Global Antimicrobial Resistance Surveillance System. (2016). Available online at: https://www.who.int/glass/en/ (accessed August 2, 2019).
12. WHO. Antimicrobial Resistance (2015). Available online at: https://www.who.int/foodsafety/areas_work/antimicrobial-resistance/tripartite/en/
13. WHO. Antimicrobial Resistance Action Plans (2016). Available online at: https://www.who.int/antimicrobial-resistance/globalaction-plan/en/
14. Bebell L, Muiru A. Antibiotic use and emerging resistance - how can resource-limited countries turn the tide? Glob Hear. (2014) 9:347–58. doi: 10.1016/j.gheart.2014.08.009
15. Founou RC, Founou LL, Essack SY. Clinical and economic impact of antibiotic resistance in developing countries: a systematic review and meta-analysis. PLoS ONE. (2017) 12:e0189621. doi: 10.1371/journal.pone.0189621
16. Jonas O, Irwin A, Berthe F, Le Gall F, Marquez P. Drug-Resistant Infections: A Threat to Our Economic Future. Final Report. World Bank Group (2017).
17. Tacconelli E, Carrara E, Savoldi A, Harbarth S, Mendelson M, Monnet DL, et al. Discovery, research, and development of new antibiotics: the WHO priority list of antibiotic-resistant bacteria and tuberculosis. Lancet Infect Dis. (2017) 18:318–27. doi: 10.1016/S1473-3099(17)30753-3
18. Karanika S, Karantanos T, Arvanitis M, Grigoras C, Mylonakis E. Fecal colonization with extended-spectrum beta-lactamase-producing enterobacteriaceae and risk factors among healthy individuals: a systematic review and metaanalysis. Clin Infect Dis. (2016) 63:310–8. doi: 10.1093/cid/ciw283
19. De Boeck H, Lunguya O, Muyembe JJ, Glupczynski Y, Jacobs J. Presence of extended-spectrum beta-lactamase-producing Enterobacteriaceae in waste waters, Kinshasa, the Democratic Republic of the Congo. Eur J Clin Microbiol Infect Dis. (2012) 31:3085–8. doi: 10.1007/s10096-012-1669-8
20. Phoba MF, Barbé B, Lunguya O, Masendu L, Lulengwa D, Dougan G, et al. Salmonella enterica. serovar Typhi Producing CTX-M-15 Extended Spectrum β-Lactamase in the Democratic Republic of the Congo. Clin Infect Dis. (2017) 65:1229–31. doi: 10.1093/cid/cix342
21. Crump JA, Sjölund-Karlsson M, Gordon MA, Parry CM. Epidemiology, clinical presentation, laboratory diagnosis, antimicrobial resistance, and antimicrobial management of invasive Salmonella infections. Clin Microbiol Rev. (2015) 28:901–37. doi: 10.1128/CMR.00002-15
22. WHO. Typoid in Pakistan (2018). Available online at: https://www.who.int/csr/don/27-december-2018-typhoidpakistan/en/
23. Klemm EJ, Shakoor S, Page AJ, Qamar N, Judge K, Saeed DK, et al. Emergence of an extensively drug-resistant Salmonella enterica Serovar Typhi clone harboring a promiscuous plasmid encoding resistance to fluoroquinolones and third- generation cephalosporins. MBio. (2018) 9:e00105–18. doi: 10.1128/mBio.00105-18
25. Wilson ML, Fleming KA, Kuti MA, Looi LM, Lago N, Ru K. Series pathology and laboratory medicine in low-income and access to pathology and laboratory medicine services : a crucial gap. Lancet. (2018) 391:1927–38. doi: 10.1016/S0140-6736(18)30458-6
26. Kuijpers LMF, Post A, Jacobs J. Chromogenic media for the detection of Salmonella enterica serovar Paratyphi A in human stool samples: evaluation in a reference setting. J Med Microbiol. (2018) 37:2181–90. doi: 10.1007/s10096-018-3360-1
27. Ombelet S, Ronat JB, Walsh T, Yansouni CP, Cox J, Vlieghe E, et al. Clinical bacteriology in low-resource settings: today's solutions. Lancet Infect Dis. (2018) 3099:1–11. doi: 10.1016/S1473-3099(18)30093-8
28. Horton S, Sullivan R, Flanigan J, Fleming KA, Kuti MA, Looi LM, et al. Delivering modern, high-quality, affordable pathology and laboratory medicine to low-income and middle-income countries: a call to action. Lancet. (2018) 391:1953–64. doi: 10.1016/S0140-6736(18)30460-4
29. Glass B. Counterfeit drugs and medical devices in developing countries. Res Rep Trop Med. (2014) 2014: 11–22. doi: 10.2147/RRTM.S39354
30. Jarosławski S, Pai M. Why are inaccurate tuberculosis serological tests widely used in the Indian private healthcare sector? A root-cause analysis. J Epidemiol Glob Health. (2012) 2:39–50. doi: 10.1016/j.jegh.2011.12.001
31. Radyowijati A, Haak H. Improving antibiotic use in low-income countries: an overview of evidence on determinants. Soc Sci Med. (2003) 57:733–44. doi: 10.1016/s0277-9536(02)00422-7
32. Quet F, Vlieghe E, Leyer C, Buisson Y, Newton PN, Naphayvong P, et al. Antibiotic prescription behaviours in Lao People's Democratic Republic : a knowledge, attitude and practice survey. Bull World Health Organ. (2015) 2014:219–27. doi: 10.2471/BLT.14.142844
33. Thriemer K, Ley B, Ame S, von Seidlein L, de Pak G, Chang NY, et al. The burden of invasive bacterial infections in Pemba, Zanzibar. PLoS ONE. (2012) 72:e30350. doi: 10.1371/journal.pone.0030350
35. Weinstein ZB, Zaman H. Evolution of rifampin resistance in escherichia coli and mycobacterium smegmatis due to substandard drugs. Antimicrob Agents Chemother. (2018) 63:e01243–18. doi: 10.1128/AAC.01243-18
36. Hopkins H, Bruxvoort KJ, Cairns ME, Chandler CIR, Leurent B, Ansah EK, et al. Impact of introduction of rapid diagnostic tests for malaria on antibiotic prescribing : analysis of observational and randomised studies in public and private healthcare settings. (2017) 356:j1054. doi: 10.1136/bmj.j1054
37. Unicef WHO. Integrated Community Case Management: An Equity-Focused Strategy to Improve Access to Essential Treatment Services for Children. (2012).
38. WHO Recommendations on Laboratory Investigations for Clinical Care by Level of Health Care (2010). Available online at: https://www.who.int/hiv/amds/WHOLabRecommendationBylevelFinal.pdf (cited January 13, 2019).
39. Best M, Sakande J. Practical recommendation for strengthening national and regional laboratory networks in Africa in the Global Health Security era. Afr J Lab Med. (2016) 5:471. doi: 10.4102/ajlm.v5i3.471
40. CDC. The Core Elements of Human Antibiotic Stewardship. Programs in Resource-Limited Settings: National and Hospital Levels. Atlanta, GA: US Department of Health and Human Services, CDC (2018). Available online at: https://www.cdc.gov/antibioticuse/healthcare/implementation.html
41. Nkengasong JN, Yao K, Onyebujoh P. Comment laboratory medicine in low-income and middle-income countries : progress and challenges. Lancet. (2018) 6736:10–1. doi: 10.1016/S0140-6736(18)30308-8
42. World Health Organization. World Health Organization Model List of Essential In Vitro Diagnostics. (2018).
43. Schroeder LF, Guarner J, Amukele TK. Essential diagnostics for the use of world health organization essential medicines. Clin Chem. (2018) 64:8. doi: 10.1373/clinchem.2017.275339
44. Semret M, Ndao M, Jacobs J, Yansouni CP. Point-of-care and point-of-‘can’: leveraging reference-laboratory capacity for integrated diagnosis of fever syndromes in the tropics. Clin Microbiol Infect. (2018) 24:836–44. doi: 10.1016/j.cmi.2018.03.044
46. The Lancet Global Health. Global health security: how can laboratories help? Lancet Glob Heal. (2017) 5:e115. doi: 10.1016/S2214-109X(17)30009-8
47. World Health Organization. Guidance for Establishing a National Health Laboratory System. (2015).
48. Centers for Disease Control and Prevention. Consultation on Technical and Clinical Laboratory Testing Harmonization and Standardization. Maputo (2008).
49. WHO. World Health Organization Model List of Essential In Vitro Diagnostics. 1st ed. (2018). Available online at: https://www.who.int/medical_devices/diagnostics/selection_in-vitro/en/
51. European Antimicrobial Resistance Surveillance Network. Stockholm: European Centre for Disease Prevention and Control (1998). Available online at: https://ecdc.europa.eu/en/about-us/partnerships-andnetworks/disease-and-laboratory-networks/ears-net
52. Red Latinoamericana de Vigilancia de la Resistencia a los Antimicrobianos. Buenos Aires: Antimicrobianos (1999). Available online at: http://antimicrobianos.com.ar/category/resistencia/relavra/
53. De Smet B, Veng C, Kruy L, Kham C, van Griensven J, Peeters C, et al. Outbreak of Burkholderia cepacia bloodstream infections traced to the use of Ringer lactate solution as multiple-dose vial for catheter flushing, Phnom Penh, Cambodia. Clin Microbiol Infect. (2013) 19:832–7. doi: 10.1111/1469-0691.12047
54. Kalonji LM, Post A, Phoba MF, Falay D, Ngbonda D, Muyembe JJ, et al. Invasive salmonella infections at multiple surveillance sites in the Democratic Republic of the Congo, 2011-2014. Clin Infect Dis. (2015) 61(Suppl. 4):S346–53. doi: 10.1093/cid/civ713
55. Dat VQ, Vu HN, The HN, Nguyen HT, Hoang LB, Vu D, et al. Bacterial bloodstream infections in a tertiary infectious diseases hospital in Northern Vietnam: aetiology, drug resistance, and treatment outcome. BMC Infect Dis. (2017) 17:493. doi: 10.1186/s12879-017-2582-7
56. Garcia-Graells C, van Cleef BAGL, Larsen J, Denis O, Skov R, Voss A. Dynamic of livestock-associated methicillin-resistant Staphylococcus aureus CC398 in Pig Farm Households: a pilot study. PLoS ONE. (2013) 8:e65512. doi: 10.1371/journal.pone.0065512
57. WHO. Global Antimicrobial Resistance Surveillance System. Manual for Early Implementation. WHO (2015). Available online at: http://www.who.int/drugresistance/en/ (accessed August 2, 2019).
58. WHO. Global Priority List of Antibiotic-Resistant Bacteria to Guide Research, Discovery, and Development of New Antibiotics. (2017).
60. WHO. WHO Model List of Essential Medicines for Children. 6th ed. World Health Organization (2017).
61. Brien TFO, Stelling J. Integrated multilevel surveillance of the World's infecting microbes and their resistance to antimicrobial agents. Clin Microbiol Rev. (2011) 24:281–95. doi: 10.1128/CMR.00021-10
62. Ombelet S, Barbé B, Affolabi D, Ronat J. Best practices of blood cultures in low- and middle-income countries. Front Med. (2019) 6:131. doi: 10.3389/fmed.2019.00131
63. Tack B, Phoba M-F, Van Puyvelde S, Kalonji LM, Hardy L, Barbé B, et al. Salmonella Typhi from blood cultures in the Democratic Republic of the Congo, a 10-year surveillance. Clin Infect Dis. (2019) 68(Suppl. 2):S130–7. doi: 10.1093/cid/ciy1116
64. Falay D, Kuijpers LMF, Phoba MF, De Boeck H, Lunguya O, Vakaniaki E, et al. Microbiological, clinical and molecular findings of non-typhoidal Salmonella bloodstream infections associated with malaria, Oriental Province, Democratic Republic of the Congo. BMC Infect Dis. (2016) 16:1–14. doi: 10.1186/s12879-016-1604-1
65. WHO. Global Action Plan on Antimicrobial Resistance. (2015). p. 78. Available online at: https://www.who.int/antimicrobial-resistance/globalaction-plan/en/ (accessed August 2, 2019).
66. WHO. Diagnostic Stewardship - A Guide to Implementation in Antimicrobial Resistance Surveillance Sites (2016).
67. Malik MF, Khan DA, Ansari WM, Khan FA. Injudicious use of laboratory facilities in tertiary care hospitals at Rawalpindi, Pakistan: a cross-sectional descriptive study. BMC Health Serv Res. (2013) 13:495. doi: 10.1186/1472-6963-13-495
68. Johns Hopkins. Medical Microbiology Specimen Collection Guidelines (2019). Available online at http://pathology.jhu.edu/microbiology/specimen.cfm
69. Miller JM, Binnicker MJ, Campbell S, Carroll KC, Chapin KC, Gilligan PH, et al. A Guide to Utilization of the microbiology laboratory for diagnosis of infectious diseases: 2018 update by the infectious diseases society of America and the American society for microbiology. Clin Infect Dis. (2018) 67:1–94. doi: 10.1093/cid/ciy584
71. Humphries RM, Bard JD. Point-Counterpoint: reflex cultures reduce laboratory workload and improve antimicrobial stewardship in patients suspected of having. J Clin Microbiol. (2016) 54:254–8. doi: 10.1128/JCM.03021-15
72. Kerremans JJ, Van Der Bij AK, Goessens W, Verbrugh HA, Vos MC. Needle-to-incubator transport time: logistic factors influencing transport time for blood culture specimens. J Clin Microbiol. (2009) 47:819–22. doi: 10.1128/JCM.01829-08
73. Banerjee R, Özenci V, Patel R. Individualized approaches are needed for optimized blood cultures. Clin Infect Dis. (2016) 63:1332–9. doi: 10.1093/cid/ciw573
74. Venturelli C, Righi E, Borsari L, Aggazzotti G, Busani S, Mussini C, et al. Impact of pre-analytical time on the recovery of pathogens from blood cultures: results from a large retrospective survey. PLoS ONE. (2017) 12:e0169466. doi: 10.1371/journal.pone.0169466
75. Leber AL. Clinical Microbiology Procedures Handbook. 4th ed. Washington, DC: American Society for Microbiology (2016)
76. Morgan DJ, Malani P, Diekema DJ. Diagnostic stewardship — leveraging the laboratory to improve antimicrobial use. JAMA. (2017) 318:607–8. doi: 10.1001/jama.2017.8531
77. CDC. Core Elements of Hospital Antibiotic Stewardship Programs. Atlanta, GA (2014). Available online at: https://www.cdc.gov/antibiotic-use/coreelements/index.html
78. Dyar OJ, Moran-Gilad J, Greub G, Pulcini C. Diagnostic stewardship: are we using the right term? Clin Microbiol Infect. (2019) 25:272–3. doi: 10.1016/j.cmi.2018.12.011
79. Patel R, Fang FC. Diagnostic stewardship: opportunity for a laboratory – infectious diseases partnership. Clin Infect Dis. (2018) 67:799–801. doi: 10.1093/cid/ciy077
80. Morency-Potvin P, Schwartz DN, Weinstein RA. Antimicrobial stewardship: how the microbiology laboratory can right the ship. Clin Microbiol. (2017) 30:381–407. doi: 10.1128/CMR.00066-16
81. CDC. The Core Elements of Human Antibiotic Stewardship Programs in Resource-Limited Settings: National and Hospital Levels. Atlanta, GA (2018). Available online at: https://www.cdc.gov/antibiotic-use/coreelements/resource-limited.html
82. Bouza E, Munoz P, Burillo A. Role of the clinical microbiology laboratory in antimicrobial stewardship. Med Clin N Am. (2018) 102:883–98. doi: 10.1016/j.mcna.2018.05.003
83. Dellit TH, Owens RC, Mcgowan JE, Gerding DN, Weinstein RA, Burke JP, et al. Infectious diseases society of america and the society for healthcare epidemiology of america guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis. (2007) 44:159–77. doi: 10.1086/510393
84. Macvane SH, Hurst JM, Steed LL. The role of antimicrobial stewardship in the clinical microbiology laboratory: stepping up to the plate. Open Forum Infect Dis. (2016) 3:ofw201. doi: 10.1093/ofid/ofw201
85. Trivedi KK, Kuper K. Hospital antimicrobial stewardship in the nonuniversity setting. Infect Dis Clin AM. (2014) 28:281–9. doi: 10.1016/j.idc.2014.01.007
86. Cosgrove SE, MacDougall C, Srinivasan A, Abbo LM, Trivedi KK, Dellit TH, et al. Executive summary: implementing an antibiotic stewardship program: guidelines by the infectious diseases society of america and the society for healthcare epidemiology of America. Clin Infect Dis. (2016) 62:1197–202. doi: 10.1093/cid/ciw217
87. Versporten A, Zarb P, Caniaux I, Gros M-F, Drapier N, Miller M, et al. Antimicrobial consumption and resistance in adult hospital inpatients in 53 countries: results of an internet-based global point prevalence survey. Lancet Glob Health. (2018) 6:619–29. doi: 10.1016/S2214-109X(18)30186-4
88. Donnell LAO, Guarascio AJ. The intersection of antimicrobial stewardship and microbiology : educating the next generation of health care professionals. (2017) 364:fnw281. doi: 10.1093/femsle/fnw281
89. Pulcini C, Gyssens IC. How to educate prescribers in antimicrobial stewardship practices. Virulence. (2013) 4:192–202. doi: 10.4161/viru.23706
90. Pardo J, Klinker K, Borgert S, Trikha G, Rand K, Ramphal R. Time to positivity of blood culture supports antibiotic de-escalation at 48 hours. Ann Pharmacother. (2014) 48:33–40. doi: 10.1177/1060028013511229
91. Baron EJ, Miller JM, Weinstein MP, Richter SS, Gilligan PH, Thomson RB, et al. A Guide to Utilization of the Microbiology Laboratory for Diagnosis of Infectious Diseases: 2013 Recommendations by the Infectious Diseases Society of America (IDSA) and the American Society for Microbiology (ASM)a. Clin Infect Dis. (2013) 57:e22–121. doi: 10.1093/cid/cit278
92. Barbé B, Yansouni CP, Affolabi D, Jacobs J. Implementation of quality management for clinical bacteriology in low-resource settings. Clin Microbiol Infect. (2017) 23:426–33. doi: 10.1016/j.cmi.2017.05.007
93. Alemnji GA, Zeh C, Yao K, Fonjungo PN. Strengthening national health laboratories in Sub-Saharan Africa: a decade of remarkable progress. Trop Med Int Heal. (2014) 19:450–8. doi: 10.1111/tmi.12269
94. Nkengasong JN, Peeling RW, Yao K, Zeh CE, Schneidman M, Gadde R. Laboratory medicine in Africa since 2008: then, now, and the future. Lancet Infect Dis. (2018) 18:e362–7. doi: 10.1016/S1473-3099(18)30120-8
95. Andiric LR, Massambu CG, Path M, Sam CME. Laboratory quality improvement in Tanzania. Am J Clin Pathol. (2015) 13:566–72. doi: 10.1309/AJCPAB4A6WWPYIEN
96. WHO. WHO Guidelines on Hand Hygiene in Health Care - First Global Patient Safety Challenge Clean Care is Safer Care. (2009).
97. Carter J, Lema OE, Rees PH, Nyamongo JA. Laboratory testing improves diagnosis and treatment outcomes in primary health care facilities. Afr J Lab Med. (2012) 1:8. doi: 10.4102/ajlm.v1i1.8
98. Sayed S, Cherniak W, Lawler M, Tan SY, Sadr W El, Wolf N, et al. Pathology and laboratory medicine in low-income and Improving pathology and laboratory medicine in low-income and middle-income countries : roadmap to solutions. Lancet. (2018) 391:1939–52. doi: 10.1016/S0140-6736(18)30459-8
99. Isaacs E, Schmelz M. Clinical microbiology. Clin Microbiol Newsl. (2017) 39:27–34. doi: 10.1016/j.clinmicnews.2017.01.005
100. Practice C, Goldstein EJC, Editor S, Olans RN, Olans RD. The Critical Role of the Staff Nurse in Antimicrobial Stewardship — Unrecognized, but Already There. Clin Infect Dis. (2016) 62: 84–9. doi: 10.1093/cid/civ697
101. Edwards R, Drumright LN, Kiernan M, Holmes A. Covering more territory to fight resistance: considering nurses ' role in antimicrobial stewardship. J Infect Prev. (2011) 12:6–10. doi: 10.1177/1757177410389627
102. CLSI. M35-A2 Abbreviated Identification of Bacteria and Yeast; Approved Guideline. 2nd ed. Wayne, PA: CLSI (2008).
103. Peeters M, Chung P, Lin H, Mortelmans K, Phe C, San C, et al. Diagnostic accuracy of the InBiOS AMD rapid diagnostic test for the detection of Burkholderia pseudomallei antigen in grown blood culture broth. Eur J Clin Microbiol Infect Dis. (2018) 37:1169–77. doi: 10.1007/s10096-018-3237-3
104. Testing EC on AS. Methodology - EUCAST Rapid Antimicrobial Susceptibility Testing (RAST) Directly From Positive Blood Culture Bottles (2018).
105. Munson EL, Diekema DJ, Beekmann SE, Chapin KC, Doern G V. Detection and treatment of bloodstream infection: laboratory reporting and antimicrobial management. J Clin Microbiol. (2003) 41:495–7. doi: 10.1128/JCM.41.1.495-497.2003
106. Cunney R, Aziz HA, Schubert D, McNamara E, Smyth E. Interpretative reporting and selective antimicrobial susceptibility release in non-critical microbiology results. J Antimicrob Chemother. (2000) 45:705–8. doi: 10.1093/jac/45.5.705
107. CLSI. M100 Performance Standards for Antimicrobial Susceptibility Testing. 28th ed. Wayne, PA (2018).
108. Kuperman GJ, Teich JM, Tanasijevic MJ, Ma'luf N, Rittenberg E, Jha A, et al. Improving response to critical laboratory results with automation: results of a randomized controlled trial. J Am Med Informatics Assoc. (1999) 6:512–22. doi: 10.1136/jamia.1999.0060512
109. Ward M, Brandsema P, van Straten E, Bosman A. Electronic reporting improves timeliness and completeness of infectious disease notification, The Netherlands, 2003. Euro Surveill. (2005) 10:27–30. doi: 10.2807/esm.10.01.00513-en
110. Rind DM, Safran C, Phillips RS, Wang Q, Calkins DR, Delbanco TL, et al. Effect of computer-based alerts on the treatment and outcomes of hospitalized patients. JAMA Intern Med. (1994) 154:1511–7. doi: 10.1001/archinte.154.13.1511
111. Aller R. Informatics, imaging and the pathologist's workstation. In: Henry J, editor. Clinical Diagnosis and Management by Laboratory Methods. Philadelphia, PA: WB Saunders (1996). p. 92–124.
112. Kyobe S, Musinguzi H, Lwanga N, Kezimbira D, Kigozi E, Katabazi FA, et al. Selecting a Laboratory information management system for biorepositories in low- and middle-income countries: The H3Africa experience and lessons learned. Biopreserv Biobank. (2017) 15:111–5. doi: 10.1089/bio.2017.0006
113. Gebretekle G, Mariam D, Abebe W, Amogne W, Tenna A, Fenta T, et al. Opportunities and barriers to implementing antibiotic stewardship in low and middle-income countries: lessons from a mixed-methods study in a tertiary care hospital in Ethiopia. PLoS ONE. (2018) 13:e0208447. doi: 10.1371/journal.pone.0208447
114. Kuster SP, Ruef C, Zbinden R, Gottschalk J, Ledergerber B, Neuber L, et al. Stratification of cumulative antibiograms in hospitals for hospital unit, specimen type, isolate sequence and duration of hospital stay. J Antimicrob Chemother. (2008) 62:1451–61. doi: 10.1093/jac/dkn384
115. CLSI. M39-A4 Analysis and Presentation of Cumulative Antimicrobial Susceptibility Test Data; Approved Guideline. 4th ed. (2014). Available online at: http://shop.clsi.org/c.1253739/site/Sample_pdf/M39A4_sample.pdf
116. Boehme CC, Nicol MP, Nabeta P, Michael JS, Gotuzzo E, Tahirli R, et al. Feasibility, diagnostic accuracy, and eff ectiveness of decentralised use of the Xpert MTB/RIF test for diagnosis of tuberculosis and multidrug resistance: a multicentre implementation study. Lancet. (2011) 377:1495–505. doi: 10.1016/S0140-6736(11)60438-8
117. Moehring RW, Hazen KC, Hawkins MR, Drew RH, Sexton DJ, Anderson DJ. Challenges in preparation of cumulative antibiogram reports for community hospitals. J Clin Microbiol. (2015) 53:2977–82. doi: 10.1128/JCM.01077-15
118. Vandenberg O, Nyarukweba DZ, Ndeba PM, Hendriksen RS, Barzilay EJ, Schirvel C, et al. Microbiologic and clinical features of salmonella species isolated from bacteremic children in eastern democratic republic of congo. Pediatr Infect Dis J. (2010) 29:504–10. doi: 10.1097/INF.0b013e3181cd615a
119. WHO. Guidelines on Core Components of Infection Prevention and Control Programmes at the National and Acute Health Care Facility Level. Geneva (2016).
120. Nand P, Wilson MD, Cohen SH, Brown J. Curbing antimicrobial resistance: do physicians receive. J Infect. (2016) 72:127–9. doi: 10.1016/j.jinf.2015.09.036
122. Stevens B, Wenzel E. A Guide to Infection Control in the Hospital. 5th ed. Boston, MA: International Society for Infectious Diseases (2014).
123. Tacconelli E, Cataldo MA, Dancer SJ, Angelis G De, Falcone M, Frank U, et al. ESCMID guidelines for the management of the infection control measures to reduce transmission of multidrug-resistant Gram-negative bacteria in hospitalized patients. Clin Microbiol Infect. (2014) 20(Suppl. 1):1–50. doi: 10.1111/1469-0691.12427
124. Friedman C, Newsom W. IFIC Basic Concepts of Infection Control. 2nd ed. Portadown, UK: International Federation of Infection Control (2011).
125. CDC. Guidelines for Environmental Infection Control in Health-Care Facilities (2003, updated 2017) (2017).
126. Peterson LR, Hamilton JD, Baron EJ, Tompkins LS, Miller JM, Wilfert CM, et al. Role of clinical microbiology laboratories in the management and control of infectious diseases and the delivery of health care. Clin Infect Dis. (2001) 32:605–10. doi: 10.1086/318725
127. Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. (2012) 18:268–81. doi: 10.1111/j.1469-0691.2011.03570.x
128. Cooper JD, Cooper SR, Wolk DM, Tice AM, Persing TF, Esolen LM. Postpartum Streptococcus pyogenes outbreak in the labor and delivery unit of a quaternary referral center: a case series and review of the literature. Clin Microbiol Newsl. (2017) 39:11–5. doi: 10.1016/j.clinmicnews.2016.12.003
129. Centers for Disease Control and Prevention (CDC) USD of H and HS. Guidelines for Environmental Infection Control in Health-Care Facilities. (2003). Available online at: https://www.cdc.gov/infectioncontrol/guidelines/environmental/
130. Vonberg R, Gastmeier P. Hospital-acquired infections related to contaminated substances. J Hosp Infect. (2007) 65:15–23. doi: 10.1016/j.jhin.2006.09.018
131. Weber DJ, Rutala WA, Sickbert-bennett EE. Minireview outbreaks associated with contaminated antiseptics and disinfectants. Antimicrobialagents Chemotherap. (2007) 51:4217–24. doi: 10.1128/AAC.00138-07
132. Rosenthal VD. Central Line – Associated bloodstream infections in limited-resource countries: a review of the literature. Clin Infect Dis. (2009) 49:1899–907. doi: 10.1086/648439
133. Frean J, Perovic O, Fensham V, Mccarthy K, Gottberg A Von, Gouveia L De, et al. External quality assessment of national public health laboratories in Africa, 2002 – 2009. Bull World Health Organ. (2012) 90:191–9. doi: 10.2471/BLT.11.091876
134. Crane R, Messele T, Fried J, Krol A, Oldach L, White C. Healthcare-associated infections: a neglected issue threatening healthcare facilities in Africa. In: Laboratory Culture ASLM Newsletter Laboratory Professor Across Africa. Addis Ababa (2012)
135. Crane R, Merkel M, Whedbee R, White C. Once an ignored threat, antimicrobial resistance becomes an international priority. In: Laboratory Culture ASLM Newsletter Laboratory Professor Across Africa. Addis Ababa (2015).
136. Schultsz C. Strategies towards surveillance of antimicrobial resistance and antimicrobial stewardship. In: Laboratory Culture ASLM Newsletter Laboratory Professor Across Africa. Addis Ababa (2017).
137. Boeras DI, Peeling RW, Onyebujoh P, Yahaya AA, Gumede-Moeletsi HN, Ndihokubwayo JB. The WHO AFRO external quality assessment programme (EQAP): linking laboratory networks through EQA programmes. Afr J Lab Med. (2016) 5:1–6. doi: 10.4102/ajlm.v5i2.560
139. Scherz V, Durussel C, Greub G. Internal quality assurance in diagnostic microbiology : a simple approach for insightful data. PLoS ONE. (2017) 12:e0187263. doi: 10.1371/journal.pone.0187263
140. Nichols K, Pattillo A. Assessing specimen referral systems across West Africa to strengthen laboratory networks. In: Laboratory Culture ASLM Newsletter Laboratory Professor Across Africa. Addis Ababa (2018)
141. Jacobs J, Barbé B, Gillet P, Aidoo M, Serra-Casas E, Van Erps J, et al. Harmonization of malaria rapid diagnostic tests: Best practices in labelling including instructions for use. Malar J. (2014) 13:1–10. doi: 10.1186/1475-2875-13-505
142. Malla S, Dumre SP, Shakya G, Kansakar P, Rai B, Hossain A, et al. The challenges and successes of implementing a sustainable antimicrobial resistance surveillance programme in Nepal. BMC Public Health. (2014) 14:269. doi: 10.1186/1471-2458-14-269
143. Schroeder LF, Amukele T. Medical laboratories in Sub-Saharan Africa that meet international quality standards. Am J Clin Pathol. (2014) 141:791–5. doi: 10.1309/AJCPQ5KTKAGSSCFN
144. Gillet P, Scheirlinck A, Stokx J, De Weggheleire A, Chaúque HS, Canhanga OD, et al. Prozone in malaria rapid diagnostics tests: how many cases are missed? Malar J. (2011) 10:166. doi: 10.1186/1475-2875-10-166
146. Grand View Research. Blood Culture Tests: Market Estimates & Trend Analysis from 2014 to 2015 (2018).
147. WHO. WHO Global Model Regulatory Framework for Medical Devices Including in vitro Diagnostic Medical Devices. (2017).
148. Mcnerney R, Peeling RW. Regulatory in vitro diagnostics landscape in Africa: update on regional activities. Clin Infect Dis. (2015) 61(Suppl. 3):135–40. doi: 10.1093/cid/civ553
149. WHO. WHO Prequalification of In Vitro Diagnostics. Available online at: https://www.who.int/diagnostics_laboratory/evaluations/en/
150. Mori M, Ravinetto R, Jacobs J. Quality of medical devices and in vitro diagnostics in resource-limited settings. Trop Med Int Health. (2014) 16:1439–49. doi: 10.1111/j.1365-3156.2011.02852
151. Kosack CS, Page A, Klatser PR. A guide to aid the selection of diagnostic tests. Bull World Health Organ. (2017) 95:639–45. doi: 10.2471/BLT.16.187468
152. Dailey PJ, Osborn J, Ashley EA, Baron EJ, Dance DAB, Fusco D, et al. Defining system requirements for simplified blood culture to enable widespread use in resource-limited settings. Diagnostics. (2019) 9:10. doi: 10.3390/diagnostics9010010
153. Newton PN, Page A-L, Dolinger DL, González IJ, Bassat Q, D'Acremont V, et al. Target Product profile for a diagnostic assay to differentiate between bacterial and non-bacterial infections and reduce antimicrobial overuse in resource-limited settings: an expert consensus. PLoS ONE. (2016) 11:e0161721. doi: 10.1371/journal.pone.0161721
154. WHO. Increasing Access to Diagnostics Through Technology Transfer and Local Production. (2011) Available online at: http://www.who.int/phi/publications/Increasing_Access_to_Vaccines_Through_Technology_Transfer.pdf
155. Wilson ML. Clinically relevant, cost-effective clinical microbiology strategies to decrease unnecessary testing. Am J Clin Pathol. (1996) 107:154–67. doi: 10.1093/ajcp/107.2.154
156. Jallow MT, Takayama M, Li L. Global Fund and Pooled Procurement Mechanism (PPM). Tokyo (2017). Available online at: https://www.theglobalfund.org/en/sourcingmanagement/health-products/ (accessed August 2, 2019).
157. Phe T, Vlieghe E, Lim K, Veng C, Kham C, Thai S, et al. Results of a 10-year surveillance of pathogens and their antibiotic resistance in bloodstream infections among Cambodian adults. In: Colloquium: Antibiotic Resistance: From Research to Action. Phnom Penh (2018).
158. Vlieghe E, Kruy L, de Smet B, Kham C, Veng CH, Phe T, et al. Melioidosis, Phnom Penh, Cambodia. Emerg Infect Dis. (2011) 17:1289–92. doi: 10.3201/eid1707.101069
159. Phoba M-F, De Boeck H, Ifeka BB, Dawili J, Lunguya O, Vanhoof R, et al. Epidemic increase in Salmonella bloodstream infection in childres, Bwamanda, The Democratic Republic in Congo. Eur J Clin Microbiol Infect Dis. (2013) 33:79–87. doi: 10.1007/s10096-013-1931-8
160. Phoba M-F, Lunguya O, Mayimon DV, Lewo di Mputu P, Bertrand S, Vanhoof R, et al. Multidrug-Resistant Salmonella enterica, Democratic Republic of the Congo. Emerg Infect Dis. (2012) 18:1692–4. doi: 10.3201/eid1810.120525
161. Vlieghe ER, Phe T, De Smet B, Chhun Veng H, Kham C, Lim K, et al. Bloodstream infection among adults in phnom penh, cambodia: key pathogens and resistance patterns. PLoS ONE. (2013) 8:e59775. doi: 10.1371/journal.pone.0059775
162. PSF-CI Cambodia. Essential Drugs (2003). Available online at: https://www.who.int/selection_medicines/country_lists/khm/en/
163. Lunguya O, Phoba M, Mundeke SA, Bonebe E, Mukadi P, Muyembe J, et al. The diagnosis of typhoid fever in the Democratic Republic of the Congo. Trans R Soc Trop Med Hyg. (2012) 106:348–55. doi: 10.1016/j.trstmh.2012.03.006
164. Vlieghe E, Phe T, Smet B De, Veng CH, Kham C, Sar D, et al. Increase in Salmonella enterica serovar Paratyphi A infections in Phnom Penh, Cambodia, January 2011 to August 2013. Euro Surveill. (2013) 18:39. doi: 10.2807/1560-7917.ES2013.18.39.20592
165. Kuijpers LMF, Veng CH, Sar D, Chung P, Phe T, Kham C, et al. Ongoing outbreak of Salmonella enterica serovar Paratyphi A infections, Phnom Penh, Cambodia. J Infect Dev Ctries. (2015) 9:438–40. doi: 10.3855/jidc.6370
166. Fawal N, Le Hello S, Fabre L, Dufour M, Bouchier C, Kuijpers LMF, et al. Genomic analysis of Salmonella enterica serotype Paratyphi A during an outbreak in Cambodia, 2013–2015. Microb Genomics. (2016) 2:2013–5. doi: 10.1099/mgen.0.000092
167. Wong VK, Baker S, Pickard DJ, Parkhill J, Page AJ, Feasey NA, et al. Phylogeographical analysis of the dominant multidrug-resistant H58 clade of Salmonella Typhi identifies inter-and intracontinental transmission events. Nat Genet. (2015) 47:632–9. doi: 10.1038/ng.3281
168. Feasey NA, Hadfield J, Keddy KH, Dallman TJ, Jacobs J, Deng X, et al. Salmonella Enteritidis lineages associated with enterocolitis in high-income settings and invasive disease in low-income settings. Nat Genet. (2017) 48:1211–7. doi: 10.1038/ng0417-651c
169. Yansouni C, Seifu D, Libman M, Gizaw S, Mitiku M, Syoun G, et al. A feasible laboratory-strengthening intervention yielding a sustainable clinical bacteriology sector within 18-months of implementation in a large referral hospital in Ethiopia. In: 28th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID 2018). Madrid (2018).
170. Abebe W, Alemayehu T, Kong L, Beyene T, Jardin B, Haarklau O, et al. Alarming rates of drug-resistance in gram-negative blood stream infections among hospitalized patients in Ethiopia: an urgent call to strengthen diagnostic bacteriology and antimicrobial stewardship in low-resource settings. In: 28th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID 2018). Madrid (2018).
171. Mugambi ML, Palamountain KM, Gallarda J, Drain PK. Exploring the case for a global alliance for medical diagnostics initiative. Diagnostics. (2017) 7:8. doi: 10.3390/diagnostics7010008
172. Tucker TJ, Manyike PT. Improving the clinic-laboratory-interface in the context of HIV diagnosis, treatment, and monitoring. Curr Opin HIV AIDS. (2017) 12:105–11. doi: 10.1097/COH.0000000000000350
173. Tuijn CJ, Msoka E, Mushi DL, Sumari-de Boer M, Chilongola J, van den Broek A. The interface between clinicians and laboratory staff : a field study in northern Tanzania. Afr J Lab Med. (2014) 3:1–7. doi: 10.4102/ajlm.v3i1.126
174. Schreckenberger PC, Binnicker MJ. Optimizing antimicrobial susceptibility test reporting. J Clincial Microbiol. (2011) 49(9 Suppl.):15–9. doi: 10.1128/JCM.00712-11
175. Humphries RM, Kircher S, Ferrell A, Krause KM, Malherbe R, Hsiung A, et al. The continued value of disk diffusion for assessing antimicrobial susceptibility in clinical laboratories: report from the clincial and laboratory standards institute methods development and standardization working group. J Clincial Microbiol. (2018) 56:e00437–18. doi: 10.1128/JCM.00437-18
176. Thomson RB, Wilson ML, Weinstein MP. The clinical microbiology laboratory director in the united states hospital setting. J Clincial Microbiol. (2010) 48:3465–9. doi: 10.1128/JCM.01575-10
177. Carter J, Krol A. The laboratory-clinical interface in quality diagnostic services delivery. In: Laboratory Culture ASLM Newsletter Laboratory Professor Across Africa. Addis Ababa (2011).
178. Arneson W, Robinson C, Nyary B. Biomedical laboratory science education: standardising teaching content in resource-limited countries. Afr J Lab Med. (2013) 2:1–6. doi: 10.4102/ajlm.v2i1.56
179. SLMTA. Strengthening Laboratory Management Toward Accreditation. (2012). Available online at: https://slmta.org/
180. Perovic O, Schultsz C. Stepwise approach for implementation of antimicrobial resistance surveillance in Africa. Afr J Lab Med. (2016) 5:a482. doi: 10.4102/ajlm.v5i3.482
181. Stassijns J, Vlieghe E, Caluwaerts A, Zolfo M, Jacobs J. Antibiotic resistance: the need for interdisciplinary education tailored to low-resource settings Hospital-based Interventions to Contain Antibiotic Resistance in Low-resource Settings (AIM). Trop Med Int Heal. (2017) 22:182.
182. Narasimhan V, Brown H, Pablos-Mendez A, Adams O, Dussault G, Elzinga G, et al. Responding to the global human resources crisis. Lancet. (2004) 363:1469–72. doi: 10.1016/S0140-6736(04)16108-4
183. Petti CA, Polage CR, Quinn TC, Ronald AR, Sande MA. Laboratory medicine in Africa: a barrier to effective health care. Clin Infect Dis. (2006) 42:377–82. doi: 10.1086/499363
184. WHO. Human Resources for Medicial Devices - The Role of Biomedical Engineers. Geneva: World Health Organization (2017).
185. Bouchet N. ISO 15189:2012: what changes for African laboratories? Afr J Lab Med. (2015) 4:3–5. doi: 10.4102/ajlm.v4i1.325
186. Sexton DJ, Moehring RW. Implementation of antimicrobial stewardship programs in small community hospitals: recognizing the barriers and meeting the challenge. Clin Infect Dis. (2017) 65:697–8. doi: 10.1093/cid/cix409
187. Nori P, Guo Y, Ostrowsky B. Creative collaborations in antimicorbial stewardship. Med Clin N Am. (2018) 102:845–54. doi: 10.1016/j.mcna.2018.05.001
188. Bishop J, Kong DC, Schulz TR, Thursky KA, Buising KL. Meeting the challenge for effective antimicrobial stewardship programs in regional, rural and remote hospitals - what can we learn from the published literature? Rural Remote Health. (2018) 18:4442. doi: 10.22605/RRH4442
189. Buckel W, Veillette J, Vento T, Stenehjem E. Antimicrobial stewardship in community hospitals. Med Clin N Am. (2018) 102:913–28. doi: 10.1016/j.mcna.2018.05.005
190. Schultsz C, Phu N, Van Dung N, Visser C, Anh TTN, Bay PVB, et al. Network building and knowledge exchange with telemicrobiology. Lancet Glob Health. (2014) 2:e78. doi: 10.1016/S2214-109X(13)70112-8
191. Yao K, Mckinney B, Murphy A, Ascp MT, Rotz P, Wafula W, et al. Improving quality management systems of laboratories in developing countries - an innovative training approach to accelerate laboratory accreditation. Am J Clin Pathol. (2010) 134:401–9. doi: 10.1309/AJCPNBBL53FWUIQJ
192. Mende K, Beckius ML, Hospenthal R. Recovery of multidrug-resistant bacteria from swabs stored for durations of 1 and 4 weeks under conditions mimicking long distance-shipping conditions. J Clin Microbiol. (2014) 52:1798–9. doi: 10.1128/JCM.03360-13
193. Gizzie N, Adukwu E. Evaluation of liquid-based swab transport systems against the new approved CLSI M40-A2 standard. J Clin Microbiol. (2016) 54:1152–6. doi: 10.1128/JCM.03337-15
194. CLSI. M40-A2: Quality Control of Microbiological Transport Systems; Apprved Standard. 2nd ed. Wayne, PA: Clinial and Laboratory Standards Institute (2014). Available online at: https://clsi.org/media/1453/m40a2_sample.pdf
195. Hubbard K, Pellar G, Emanuel P. Suitability of commercial transport media for biological pathogens under nonideal conditions. Int J Microbiol. (2011) 2011:453096. doi: 10.1155/2011/463096
196. Blacksell SD, Khounsy S, Phetsouvanh R, Newton PN. A simple and inexpensive container for the transport of biological specimens in limited resource situations. Trans R Soc Trop Med Hyg. (2006) 650:1084–6. doi: 10.1016/j.trstmh.2006.03.005
197. Amukele TK, Street J, Carroll K, Miller H, Zhang SX. Drone transport of microbes in blood and sputum laboratory specimens. J Clin Microbiol. (2016) 54:2622–5. doi: 10.1128/JCM.01204-16
198. Kakkar R, Jones R. Laboratory informatics in the era of viral laod testing scale-up in resource-limited countries. In: Laboratory Culture ASLM Newsletter Laboratory Professor Across Africa. Addis Ababa (2018).
199. Boeras D, Cheng B The Global Health Impact Group. Diagnostics - connecting forward. In: Laboratory Culture ASLM Newsletter Laboratory Professor Across Africa. Addis Ababa (2017).
200. WHO. Global Antimicrobial Resistance Surveillance System - Manual for Early Implementation. Geneva (2015).
202. WHO. Antimicrobial Resistance Surveillance - Questionnaire for Assessment of National Networks. (2003).
203. Paoli P. Biobanking in microbiology: from sample collection to epidemiology, diagnosis and research. FEMS Microbiol Rev. (2005) 29:897–910. doi: 10.1016/j.femsre.2005.01.005
204. Vandepitte J, Engbaek K, Rohner P, Piot P, Heuck C. Basic Laboratory Procedures in Clinical Bacteriology. 2nd ed. Geneva: World Health Organization (2003).
205. Sgaier SK, Jha P, Mony P, Kurpad A, Lakshmi V, Kumar R, et al. Biobanks in developing countries: needs and feasibility. Science. (2007) 318:1074LP–5. doi: 10.1126/science.1149157
206. World Health Organization. Iarc Launches New Biobank Learning Platform. (2019). Available online at: https://www.iarc.fr/news-events/iarc-launches-new-biobank-learning-platform/ (accessed August 2, 2019).
207. WHO. Laboratory Biosafety Manual. 3rd ed. Geneva: World Health Organization (2004). p. 1–178. Available online at: https://www.who.int/csr/resources/publications/biosafety/WHO_CDS_CSR_LYO_2004_11/en/
208. CDC. Category B Bioterrorism Agents (2018). Available online at: https://emergency.cdc.gov/agent/agentlist-category.asp
Keywords: antimicrobial resistance (AMR), antimicrobial stewardship (AMS), infection prevention and control (IPC), low-resource settings (LRS), clinical and bacteriology, Sub-Saharan Africa
Citation: Jacobs J, Hardy L, Semret M, Lunguya O, Phe T, Affolabi D, Yansouni C and Vandenberg O (2019) Diagnostic Bacteriology in District Hospitals in Sub-Saharan Africa: At the Forefront of the Containment of Antimicrobial Resistance. Front. Med. 6:205. doi: 10.3389/fmed.2019.00205
Received: 09 March 2019; Accepted: 03 September 2019;
Published: 23 September 2019.
Edited by:
Tim J. J. Inglis, Pathwest Laboratory Medicine, AustraliaReviewed by:
Sergey Eremin, World Health Organization, SwitzerlandElodie Caboux, International Agency for Research on Cancer (IARC), France
Copyright © 2019 Jacobs, Hardy, Semret, Lunguya, Phe, Affolabi, Yansouni and Vandenberg. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jan Jacobs, jjacobs@itg.be