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SYSTEMATIC REVIEW article

Front. Public Health, 19 July 2021
Sec. Digital Public Health
This article is part of the Research Topic Technologies in Social Distancing: Shopping, Consumption and Psychological Implications View all 6 articles

Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges

\nFarnaz KhoshrounejadFarnaz Khoshrounejad1Mahsa HamedniaMahsa Hamednia1Ameneh MehrjerdAmeneh Mehrjerd1Shima PichaghsazShima Pichaghsaz1Hossein JamaliradHossein Jamalirad2Mahdi SargolzaeiMahdi Sargolzaei1Benyamin HoseiniBenyamin Hoseini3Shokoufeh Aalaei
Shokoufeh Aalaei1*
  • 1Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
  • 2Department of Computer Engineering, Ayatollah Amoli University, Science and Research Branch, Amol, Iran
  • 3Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

Background: As an ever-growing popular service, telehealth catered for better access to high-quality healthcare services. It is more valuable and cost-effective, particularly in the middle of the current COVID-19 pandemic. Accordingly, this study aimed to systematically review the features and challenges of telehealth-based services developed to support COVID-19 patients and healthcare providers.

Methods: A comprehensive search was done for the English language and peer-reviewed articles published until November 2020 using PubMed and Scopus electronic databases. In this review paper, only studies focusing on the telehealth-based service to support COVID-19 patients and healthcare providers were included. The first author's name, publication year, country of the research, study objectives, outcomes, function type including screening, triage, prevention, diagnosis, treatment or follow-up, target population, media, communication type, guideline-based design, main findings, and challenges were extracted, classified, and tabulated.

Results: Of the 5,005 studies identified initially, 64 met the eligibility criteria. The studies came from 18 countries. Most of them were conducted in the United States and China. Phone calls, mobile applications, videoconferencing or video calls, emails, websites, text messages, mixed-reality, and teleradiology software were used as the media for communication. The majority of studies used a synchronous communication. The articles addressed the prevention, screening, triage, diagnosis, treatment, and follow-up aspects of COVID-19 which the most common purpose was the patients' follow-up (34/64, 53%). Thirteen group barriers were identified in the literature, which technology acceptance and user adoption, concerns about the adequacy and accuracy of subjective patient assessment, and technical issues were the most frequent ones.

Conclusion: This review revealed the usefulness of telehealth-based services during the COVID-19 outbreak and beyond. The features and challenges identified through the literature can be helpful for a better understanding of current telehealth approaches and pointed out the need for clear guidelines, scientific evidence, and innovative policies to implement successful telehealth projects.

Background

The Coronavirus disease 2019 (COVID-19) pandemic started in Wuhan (China) in December 2019 and was spread worldwide (1). Thus the World Health Organization (WHO) described the disease as an epidemic (2). The number of cases affected by COVID-19 is rising rapidly. According to the latest WHO reports, there are over 163 million confirmed cases of COVID-19 with more than three million deaths (18 May 2021). Older people and those with a weak immune system are at a higher risk of contracting this virus; however, others are still susceptible (3, 4). The coronavirus spread mainly through person-to-person contact from respiratory droplets (5).

To reduce the transmission of the virus, several infection control strategies were developed such as “social distancing” and “self-isolation.” Relevant guidelines were created and the mobility of people was restricted and affected in their daily lives (6). Therefore, the critical conditions influenced by the widespread prevalence of COVID-19 led to significant changes in medicine, and the way physicians diagnose the disease and interact with patients has quickly changed, too (7). Several correlational studies showed that telehealth/telemedicine systems should be considered part of the response to the outbreak of COVID-19 by healthcare systems (8).

There are various definitions for telemedicine. According to WHO definition, “telemedicine is the delivery of healthcare services, where distance is a critical factor, by all healthcare professionals using information and communication technologies for the exchange of valid information for the diagnosis, treatment, and prevention of disease and injuries, research and evaluation, and for continuing education of healthcare providers, all in the interest of advancing the health of individuals and their communities” (9). According to the Centers for Medicare and Medicaid Services (CMS) (10), “telemedicine seeks to improve a patient's health by permitting two-way, real-time interactive communication between the patient and the physician at a distant site'. Sood et al. (11) found 104 peer-reviewed definitions of the word. They came to the conclusion that telemedicine is a subset of telehealth, and the two terms should not be used interchangeably due to some differences (12). Telehealth is an expansion of telemedicine. However, unlike telemedicine, which focuses solely on the curative aspect, it encompasses the field's preventative, promotive, and curative elements. Given the broad spectrum of teleservices available, from prevention to follow-up during the pandemic, we used the term “telehealth” to cover a broader set of activities.

Telehealth systems can significantly improve the triage, treatment, and care of patients, particularly where there is a restriction of the available resources (8). The use of telehealth is one of the services that should be offered by healthcare providers to continue patient care while minimizing the risk of exposure to or transmission of COVID-19 (13). In China, areas with poor access to healthcare services reported a higher case fatality rate of COVID-19 than those with sufficient access to healthcare services (14). Thus, telehealth might provide remote or virtual care services to patients with less access to face-to-face care.

Numerous studies have been conducted worldwide using telehealth in response to the COVID-19 pandemic in various fields such as dermatology (15), psychology (16), cancer (17), and so on. These studies were performed to provide healthcare to patients while reducing the transmission of COVID-19 to patients, families, and healthcare workers (18). Considering the capability of telehealth approaches, the widespread use of telehealth-based services is not far from expectation during the pandemic. The frequent related scientific articles and publications prove the importance of this issue.

As telehealth becomes more widespread, further research should be conducted to rigorously evaluate and address the properties and challenges of services to ensure this approach is used wisely and thoughtfully in response to COVID-19. To the best of our knowledge, so far, there has been little research as systematic reviews of telehealth-based studies to support COVID-19 patients and healthcare providers. So, there indeed remains the need to examine the different aspects of telehealth studies to have a better understanding of the current situation, challenges, and gaps of telehealth-based services to design more effective interventions. Accordingly, this review aimed to explore more specific properties of telehealth-based services, which were developed to support patients suspected of or afflicted with COVID-19 and healthcare providers. Moreover, this study helps plan future work that may eventually lead to higher quality information technology (IT) tools as a telehealth-based solution.

Methods

This review follows the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guideline (19) for identifying potentially related articles to COVID-19 telehealth.

Data Sources and Search Strategy

A comprehensive search was done on the PubMed and Scopus electronic databases for articles published until 15 November 2020. We prepared the search terms using the PICO approach, which stands for patient, problem or population (P), issue of interest or intervention (I), comparison, control or comparator (C) and outcome (O). As the search aimed to be as comprehensive as possible and corresponding to the research questions, two concepts including COVID-19 for problem/population and telehealth for issue of interest /intervention were used to build the search strategy. All studies, regardless of the outcome and study design, could be included in the study. A combination of keywords and controlled vocabulary terms related to the target concepts was used. To search for a combination of terms, the Boolean operators (AND, OR, and NOT) were employed. Searching each database was consequently altered. For instance, the search strategy used in PubMed is presented in Table 1. The search strategy was conducted by two authors (SA and BH) independently and confirmed by all other members of the research team.

TABLE 1
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Table 1. Keywords and controlled vocabulary terms combination in the search strategy based on PICO approach.

Study Selection

Inclusion Criteria

Studies were deemed eligible to be included in the review if they:

1. Used telehealth tools for the screening, triage, prevention, diagnosis, treatment, or follow-up of COVID-19 patients suspected of or afflicted with COVID-19.

2. Used telehealth tools to reduce the healthcare providers' exposure to COVID-19.

3. Were published in scientific journals

4. Were published until 15 November 2020.

Exclusion Criteria

Studies were excluded if they:

1. Were not available in full text.

2. Were not in the English language.

3. Were reviews, conference proceedings, opinion articles, letters to editorial, commentaries, and viewpoint. Also, since the purpose of this study is to provide an overview of the services offered in a population and also examine challenges of using services in communities, studies that report results of using telehealth for one person were excluded. This is because the usefulness of service to one person cannot be generalized to a population.

4. 4Used telehealth to facilitate service provision during the COVID-19 pandemic for patients with other diseases (than COVID-19).

5. Used telehealth to provide irrelevant services to the coronavirus.

6. Focused only on assessing participants' attitude toward telehealth services without any results of the deployment of the telehealth services.

7. Used telehealth tools to collect data from patients to test some research hypothesis with no immediate and direct benefit for patients or healthcare providers.

8. Of the articles published on the same tool, only the report with more complete results was included.

Screening and Eliminating Irrelevant Sources

First, duplicate articles were eliminated from the retrieved articles. Then, four of the authors independently screened articles based on titles and abstracts to identify the studies that potentially could fit into the research question and meet the eligibility criteria. A record would be excluded if it was marked irrelevant by at least three of the reviewers. If it was difficult to decide based on the title or abstract, the full text was scrutinized. When a consensus was lacking, two senior researchers in the study (SA and MS) were consulted for the final decision.

Form Development and Data Extraction

A particular form was developed for data extraction. General and technical information were extracted from the included studies. For each included study, the first author's name, publication year, country of the research, study objectives, outcomes, function type, target population, media, communication type, guideline-based design, main findings, and challenges were extracted.

The outcomes were classified based on a taxonomy developed by Dood et al. which is used to classify outcomes included in all trials, core outcome sets (COS), systematic reviews, and trial registries (20). It has five core area: death, physiological/ clinical, life impact, resource use, and adverse events.

Regarding the function type, we considered six categories including screening, triage, prevention, diagnosis, treatment and follow-up, which defined as below:

Screening: using tools by symptomatic and asymptomatic cases to detect COVID-19 suspected or confirmed patients.

Triage: using tools by symptomatic patients or providers to guide them about the necessary action to do based on the severity of symptoms (deterioration of patients health status).

Prevention: using tools by patients (symptomatic and asymptomatic cases) to prevent contamination of healthy people and also using tools by providers to protect them during visiting COVID-19 suspected or confirmed patients.

Diagnosis: using tools to help patients or providers to do diagnosis procedures accurately and adequately.

Treatment: using tools to provide recommendations to and decrease symptoms in symptomatic patients (almost confirmed cases).

Follow-up: using tools to monitor the health status of inpatients discharged from the hospital or outpatients who were recommended staying at home.

Regarding the challenges, for emerging telehealth approaches considering COVID-19 complications, it is essential to acknowledge their barriers and challenges. To highlight and better understand these challenges and significant barriers identified through the included literature, we have extracted and categorized them based on the topic. So similar topics were placed in a category based on consensus between research team members and each category was named according to its theme.

The data were extracted by FK, MH, SP, and AM and finally revised and confirmed by SA and MS to ensure the accuracy of the extracted data.

Data Synthesis and Analysis

The data analysis began with a summary of the study and the properties of the telehealth systems, along with the extracted data tabulated. The data were categorized at the same time as tabulating them. The aim was to manage a range of values for each variable to take. The reviewers recurrently refined the categories by introducing new categories and letting older versions be omitted or merged.

A narrative synthesis was done for the expression of results that were reported in the studies. This was done by comparing and contrasting the data. The data that was obtained from the studies were qualitatively elaborated and presented. To solve any case of disagreement, the authors met several times until a consensus was reached.

Quality Assessment

The present review did not aim to assess the effect of the reviewed systems or the quality of the target studies. Nor did it strive to make any conclusion or generalization based on the literature reviewed. We sought to identify the properties of telehealth systems and recognize the state of these systems at the time of the COVID-19 pandemic. Accordingly, the quality of the content of the included studies was not assessed.

Results

The PRISMA diagram of the study selection process is shown in Figure 1. Searching the two databases resulted in 5,005 records, among which 3,691 papers were screened by title or abstract after removing the duplicates. Three thousand one hundred and eighty nine studies were excluded because of apparent irrelevance in the first step or using non-English languages, or the lack of full text. Finally, the full texts of 502 articles were assessed for eligibility, while 64 met all the eligibility criteria and were included for the stage of evidence synthesis.

FIGURE 1
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Figure 1. The PRISMA flow diagram of the included studies in the review.

Overview of the Properties of the Included Studies

Supplementary Table 1 presents the properties of the included studies. Also, all the findings through the reviewed paper are summarized in Figure 2.

FIGURE 2
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Figure 2. Classification map; an overview of the identified categories in each aspect.

Date and Countries

All of the included studies were published in 2020. The studies came from 18 countries. Most of them (30, 45%) were conducted in the United States and 7 (11%) were implemented in China. Four studies were conducted in Spain, four in Italy, four in the United Kingdom, three in Korea, two in Germany, and two in Japan. From Canada, Greece, Iran, Israel (joint to the United States), Australia, France, Brazil, Taiwan, Ireland, and Netherlands, only one article was included. One study was implemented jointly in the United States and the United Kingdom. Therefore, we reported the countries of that study separately. The vast majority of articles were published from high-income countries (n = 55) and the remaining from upper-middle–income countries. Figure 3 illustrated the distribution of included studies in the countries.

FIGURE 3
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Figure 3. Distribution of included studies in the countries.

Outcomes and Main Findings

In a significant number of the studies (27/64, 42%), a descriptive report was used to demonstrate system features, development process and patients' characteristics. The remaining outcomes classified into four categories, including death, physiological/clinical, life impact and resource use. The result of outcomes classification and frequency of each outcome is shown in Table 2. Overall, based on the studies' main findings, most studies reported improvement in outcome measures. Supplementary Table 2 showed the outcomes and main findings of the included studies.

TABLE 2
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Table 2. Outcomes classification and frequency.

Target Population

In four studies, the patients were the only ones involved in using telehealth services. The purpose of two of these studies was screening which mobile applications and mobile sensors via smartwatches were used to achieve the goal. Two remaining studies used mobile applications to prevent spreading coronavirus using contact tracking and treat psychological distress in COVID-19 patients.

In five studies, the physicians and hospital workers were the primary recipients of telehealth services. In two of these studies, teleconsultation services were established to connect physicians. One used tele radiography software to diagnose COVID-19 based on chest CT and the other used phone calls to share decisions between experts to manage children with or exposed to COVID-19 infection. In two studies, mobile applications were used for screening purposes to monitor and assess COVID-19 infections and compatible symptoms in health care workers. In one study, mobile application and mixed-reality headsets were used to protect health care providers during patients' visits.

In six studies, in addition to patients and physicians, health managers, epidemiologists, and public authorities were targeted to use the collected data for monitoring activities, public health planning, and managing large numbers of COVID-19 patients as well as overwhelmed hospital staff. In the remaining studies, a team including attending physicians, physician assistants, residents, nurse practitioners (NPs), registered nurses (RNs), social workers, alcohol and drug counselors, and office staff were involved in patients' care.

Media and Communication Type

The extracted information indicates that 32 (50%) of the reviewed papers used synchronous communication, 11 (17%) of them used asynchronous communication, and 21 (33%) used both means of communication. Synchronous communication deals with the mechanisms of providing real-time healthcare services. In included studies, phone and video calls, videoconferencing, mobile applications and mixed-reality were used to establish real-time communications. In the asynchronous approach, also known as the store and forward mechanism, sending and receiving the data do not occur at the same time and the data are stored somewhere in the midway temporarily. Mobile applications, emails, websites, text messages and teleradiology software used for this type of communication.

Overall, phone calls (48%), mobile applications (45%), video calls and videoconferencing (42%), and email (12%) were the primary means of the needed communication.

Guideline-Based Design

This variable indicates whether the telehealth tool was developed based on guideline recommendations or experts' collaboration or not. Supplementary Table 1 shows that guidelines and experts' collaborations had been used in 41 studies (64%) in tool development.

Function Type

The function types of the telehealth services in the included studies were extracted and classified into six categories, which screening, triage, prevention, diagnosis, treatment, and follow-up. Out of the 64 included studies, the most common purpose (34/64, 53%) was the patients' follow-up. Twenty-two studies (34%) focused on the treatment, 21 focused on screening (33%), 14 (22%) involved the triage, nine (14%) aimed at prevention, and four (6%) focused on diagnosing COVID-19. Almost more than half of the studies (n = 34, 53%) reported using the service for a single function.

Barriers and Challenges

Sixty-seven barriers were identified in 28 studies, categorized into the 13 groups as below:

1. Adequacy and accuracy of subjective patient assessment/accuracy of tele-tools

• Providers' ability to undertake a comprehensive physical examination and measure vital signs may be restricted by this barrier. Moreover, the inaccuracy of tele-tools may compromise physicians' reliance on measurements.

2. Change in physician-patient communication

• Healthcare providers that use telehealth services do not have direct contact with patients. This could have negative consequences and may have an adverse effect on the quality of physician-patient relationship, which is the foundation of clinical care.

3. Technology acceptance/user adoption

• This barrier indicates patients' and physicians' reluctance to use telehealth services. This may be due to various reasons such as workload, lack of time, lack of workflow integration, users' lack of technical skills and some physical and cognitive impairment.

4. Data privacy and security

• This barrier indicates concerns in case of safety, privacy, security, ownership, storage and traceability of personal health data for telehealth services which are often established on online platforms.

5. System design

• This barrier points to the fact that specific features in the design of systems may reduce the widespread use of the systems. For example, manual data entry, daily data exports, considerable input and oversight and lack of real-time feedback to the user can affect adherence and system usage.

6. Resource availability/accessibility

• Establishing telehealth needs robust technology infrastructure such as digital devices, smartphones, tablets, Wi-Fi connections and monitoring equipment, and human resources such as certified providers and technical staff.

7. Technical issues

• Software functionality, slow processing speed, limited battery life and limited bandwidth are among technical problems. A poor internet connection due to non-broadband or low-speed broadband internet can cause dropped calls, delays, and poor quality audio and video. It can interrupt care delivery and lead to physicians' and patients' dissatisfaction with telehealth.

8. Standards and legal considerations

• Several legal facets are involved in the implementation of telehealth that should be followed at the facility, state, and federal levels. Due to the constraints during the pandemic, it is challenging to meet the standards and regulations for telehealth.

9. Insurance policies and reimbursement

• Lack of a clear reimbursement plan for telemedicine services provided by physicians can reduce their participation. Moreover, coverage and payment deficiency virtual services by patients' insurance can make patients prefer face-to-face communications with physicians.

10. Data availability/accessibility

• Sufficient data is one of the most essential elements in patient care. Due to the nature of telehealth systems, collecting comprehensive data from patients may be impossible and consequently resulting in data unavailability. In some cases, despite the data availability, lack of interoperability between systems can limit data accessibility. For example if electronic health records (EHR) system does not coordinate with the telehealth platform, data cannot be accessible through routine workflow.

11. System maintenance

• The volatile changing landscape of the COVID-19 pandemic leads to daily guidelines and protocol updates, which presents challenges to telehealth systems maintenance.

12. Presence of parallel systems

• The design and development of various digital health tools in response to the ongoing COVID-19 pandemic can affect participant engagement in system use.

13. Different operational requirements in organizations and lack of widespread use

• System development to meet local organizations' requirements limits its widespread use. This imposes a high cost on other organizations to redesign the system.

The frequency of each group is presented in Figure 4. Technology acceptance and user adoption, concerns about the adequacy and accuracy of subjective patient assessment, and technical issues were the most frequent.

FIGURE 4
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Figure 4. Identified barriers and challenges of telehealth establishment during COVID-19 pandemic and their frequency in included studies.

Discussion

This study aimed at providing an overview of features and challenges of COVID-19 telehealth solutions reported in published studies during the pandemic. The widespread use of telemedicine approaches in COVID-19 management, from screening to follow-up, shows the community's acceptance and interest in telehealth solutions. In the following, we will discuss the features and challenges of the telehealth solutions used in the studies.

Target Population

The review of the research findings revealed the usefulness of the telehealth-based services during the COVID-19 pandemic for all stakeholders, including the general population, afflicted patients, healthcare providers, health managers, epidemiologists, and public authorities. This finding is consistent with many previous studies in this field (2123). Supposedly, the reason lies that patients, healthcare providers, and policymakers were convinced that quarantine, minimum social attendance, and keeping a social distance are the leading solutions to reduce the transmission of the disease. In these circumstances, the best way to deliver healthcare services is through the utilization of telehealth capabilities.

Guideline-Based Design

The use of telehealth technologies was dramatically accelerated as an effective, safe, and scalable way to help patients and healthcare providers during the pandemic. This might lead to a consensus to create new incentives, make helpful policies, and remove old barriers to the acceptance of telehealth usage. Indeed, the need for following guidelines and scientific evidence in implementing a telehealth system plays a crucial role in standardizing service provision for different patients. Besides, it helps to maximize compatibility with face-to-face healthcare services. Among the articles reviewed in the present study, 64% mentioned using guidelines or experts' collaborations in the telehealth tool development and service provision. Other studies (36%) have not noted using guidelines, and this is a matter of concern. Though during a pandemic, such an important matter can be easily neglected due to the existing crises, it is noteworthy that disobeying guidelines and standards can harm patients and make conditions even harder than the traditional forms of service provision.

Function Type

Since the coronavirus has burdened societies and healthcare providers, many attempts are made to prevent more affliction. Moreover, due to the lack of clinical sources, the crowd of patients, and the limited capacity of hospitals, practical efforts are made to provide virtual care services for people. Thus, telehealth services have been used in different stages of healthcare including, prevention, screening, triage, diagnosis, treatment and follow-up. Due to the fast rate of the disease spread and its contagion, the number of potential patients afflicted with COVID-19 is high. Therefore, telehealth can be a complementary method to screen the patients and provide medical recommendations virtually (24, 25). A vast majority of articles reviewed in this study dealt with the follow-up (53%), treatment (34%), screening (33%), and triage (22%) purposes, respectively. Studies are listed by function types in Table 3.

TABLE 3
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Table 3. Function types in included studies.

Telehealth solutions that aimed at virtual triage and screening of patients can reduce the number of patients referred to medical centers; who their health status is not critical and didn't need in-person medical care. In this case, tele triage (13, 29, 31, 32, 43, 45, 50, 5561) and tele screening (13, 28, 30, 3743, 4554, 85) can reduce the burden of overwhelmed hospital and healthcare providers.

Most of the telehealth services with preventive purpose (2636) were used in emergency departments to protect physicians during visiting COVID-19 suspected or confirmed patients. Moreover, several symptoms and contact tracking applications were developed to prevent contamination of healthy people.

Regarding diagnosis purpose, in some studies, teleconsultation services were used by physicians to do diagnosis procedures. In some other studies, an attempt was made to perform the diagnosis process with the patients' participation accurately (7, 42, 60, 62).

In telehealth solutions with treatment purpose, the aim was to provide necessary recommendations to symptomatic patients to reduce their symptoms. Most of the patients who received this type of services were confirmed cases (13, 36, 39, 44, 45, 50, 52, 57, 58, 60, 6373).

On the other hand, COVID-19 often affects a patient's health for a long time. So the patients need to be monitored regularly for their health status. Inpatients or outpatients with the stable condition are recommended to continue treatment and recovery at home due to the lack of hospital capacity. Telehealth systems with follow-up purposes aimed at keep tracking of patients who still require care (13, 26, 28, 30, 39, 41, 42, 44, 5052, 55, 5759, 61, 63, 67, 68, 7084).

Due to the fast rate of the disease spread and its contagion, the number of potential patients afflicted with COVID-19 is high. Therefore, telehealth can be a complementary method to screen the patients and provide medical recommendations virtually (24).

Media and Communication Type

There are two fundamental approaches to transfer data for telehealth: synchronous and asynchronous. The former deals with the mechanisms of providing real-time healthcare services. In the asynchronous approach, the data are stored at some points between the sender and recipient, i.e., sending and receiving the data do not occur simultaneously. In the reviewed papers, both synchronous and asynchronous approaches were used for communication. The former was the most prevalently used approach in which, audio and video calls, mobile applications, and mixed-reality were used for communication through a phone or other devices. It seems that making synchronous audio and video communication was most welcomed by patients and healthcare providers. The quality, availability, and patients and providers satisfaction of healthcare services would be enhanced through real-time communication. However, its cost-effectiveness is still open to controversy. Making such communication requires a reliable infrastructure to transfer data, especially voices and videos. Lacking a dedicated infrastructure and technical issues can result in a poor transmission discussed later in the challenges subsection. In asynchronous communication, the most prevalent tool was mobile applications.

Countries

In the body of research reviewed, the most frequent relevant studies to the research question, respectively, belonged to United States (28/64) and China (7/64). In the United States, facilitating reimbursements for telehealth services by insurance companies and, consequently, the recent rapid increase in telehealth in that country can be one of the reasons for this number of articles (21). On the other hand, China was the first country engaged with the disease and spent many sources on this issue. So, it has applied a significant number of tele tools to fight the pandemic (86). Now the question is raised: Why are there a few studies conducted in China and other countries compared to the United States on the topic of telehealth in COVID-19? Note that most investigations conducted globally have been experimental in type and few studies have been done in the real environment and a large population. Because of the critical conditions of the pandemic, there has been no time for trial and error. Therefore, policymakers' emphasis was on the telehealth plans with a high probability of effectiveness. Moreover, many of these projects might have been left unreported as an article in scientific journals despite being effective. They may have been reported in the news and other resources (86). Thus, the number of publications in a country related to COVID-19 telehealth cannot necessarily be a reliable criterion to estimate the volume of activities in countries with this concern.

Outcomes

Investigating reviewed papers revealed that a significant number of the studies (42%) only described system features, development process and patients' characteristics and didn't evaluate the effect of telehealth solutions on health, economic and feasibility related outcomes. The existing body of research on the mere development and deployment of a telehealth-based solution without any report of the appropriate outcomes can hardly contribute to expanding the telehealth domain during the pandemic. They scarcely provide a reasonable criterion for decision-making on the employment or unemployment of telehealth by policymakers. In the studies that have reported objective outcomes, the results show improvement in outcome measures. This shows the usefulness of telehealth solutions in pandemic management.

Barriers and Challenges

In the body of research reviewed here, various factors were mentioned as barriers to the deployment of telehealth services. Technology acceptance and user adoption was the most common barriers against using telehealth solutions (13, 26, 28, 32, 34, 35, 42, 43, 50, 53, 61, 78, 83, 87). Several reasons were raised by physicians and patients for not willing to use new telehealth tools, including lack of time, lack of workflow integration, workload, difficulties with technology, lower levels of internet use, lack of confidence with technology, sensory impairments, health literacy, hearing and vision impairment, and so on. As pinpointed by Anthony Jnr. Bokolo (88), organizational, technological, and social factors play an essential role in accepting telehealth. Considering the role of physicians as key people in providing health services and using IT tools to serve telehealth purposes, it is essential to take these factors into account (88). Therefore, adequate instructions should be provided in the simplest and most accessible way for physicians to admit using IT tools for the telehealth establishment (18, 89). Moreover, considering the workload of physicians, especially during the pandemic, and the natural resistance of individuals against changes, telehealth should be integrated into their clinical workflow to impose the least burden (89). The fast spread of the disease has led to particular tele-based strategies to protect the hospital staff. Although some of these strategies were against the current workflow, they were well-accepted by the medical staff due to the present critical conditions. For instance, providing appropriate protection for the emergency department (ED) staff and minimizing the use of personal protective equipment (PPE), using onsite telemedicine increase safety for both physicians and nurses (27). Adequacy and accuracy of subjective patient assessment and accuracy of tele-tools were identified as the second barrier (24, 28, 35, 40, 43, 49, 61, 64, 82, 83). This issue was raised by physicians because they believe tele visit limits the ability of providers to perform a complete physical examination and measure vital signs. They also claim that tele visit leads to change in physician-patient communication which is a foundation of clinical care (33, 35, 64, 65). Technical issues due to lack of dedicated IT infrastructure was another barrier (26, 27, 33, 42, 50, 61, 64, 73, 77). This challenge particularly affects synchronous service delivery. A poor internet connection can lead to poor quality audio and video. Forcing people to find alternative approaches might lead to dissatisfaction with telehealth services. For instance, Chou et al. (27) reported a technical issue of connectivity and Wi-Fi signal. The signal was not stable enough for videoconferences in some areas of the emergency department, so they had to use either the audio function or the intercom instead. Due to this problem, several physicians and nurses initially preferred phone interviews in that research. Different operational requirements in organizations can limit the widespread use of technology (54). Data availability (64, 73), resource availability including equipment and human resources and their accessibility for patients and providers (26, 28, 34, 36, 38, 61, 73, 75), standards and legal considerations (13, 27, 42, 50), insurance policies and reimbursement (26, 61, 65) and data privacy and security (13, 26, 27, 34, 35, 53) are among the barriers to using telehealth. However, some studies have overcome some barriers by presenting novel solutions (30, 35). System design and lack of necessary features embedded in telehealth systems (26, 28, 53, 75), system maintenance due to daily guideline and protocol updates (50), and presence of parallel systems (53) are challenges which needs a participatory design approach with the collaboration of various clinical and technical groups and policymakers in systems design.

Limitation

However, our study had some limitations to be addressed. First, we searched only two databases, including PubMed and Scopus. This may affect the search comprehensiveness. Although, ~80–90% of studies conducted in telemedicine were accessible on PubMed (90), but as the search aimed to be as comprehensive as possible Scopus database was also searched. Second, limiting the search strategy to English-language studies may introduce a language bias. However, the English language is generally perceived as the universal language of science and studies highlighted. Overall, there is no evidence for a systematic bias from English language restrictions in systematic reviews in medical sciences (9193). Third, as COVID-19 is growing at an unprecedented rate, the scientific community has attempted to provide its evidence-based findings to the public as soon as possible. So that this information can help slow down the spread of the disease and even manage to stop it. Thus, many of the papers published during the COVID-19 pandemic did not follow a standard format, and they mostly lacked factual data that can be drawn directly from the article. So to solve the variation in data extraction, we used several independent reviewers and all extracted data were double-checked and verified by two senior reviewers. Finally, considering the existing variety in the body of research on COVID-19 and the importance of the issue, in order not to miss any study, the present review took into account all papers published about telehealth during the coronavirus pandemic from different aspects. Though this inevitably reduced the sensitivity of the search, the authors are to a great extent sure that they did not miss any relevant study in line with the purpose of the review.

Conclusion

Considering the capability of telehealth approaches, the widespread use of their services is not far from expectation during the pandemic. Telehealth solutions can provide services in pandemics in terms of prevention, screening, triage, diagnosis, treatment and follow-up. The identified features and barriers of telehealth tools through the reviewed papers can be helpful for a better understanding of current telehealth approaches in response to COVID-19. The identified barriers point out the need for clear guidelines, scientific evidence, and innovative policies to implement successful telehealth projects.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Author Contributions

SA is the principal investigator of the study. SA, FK, and BH were responsible for the concept/idea/research design. Study selection was conducted by FK, MH, SP, AM, and HJ. Data extraction was done by FK, MH, AM, SP, and HJ. SA, FK, and MS drafted the manuscript. All authors read and approved the manuscript.

Funding

This study was approved by the Research Council of Mashhad University of Medical Sciences (code: 991667).

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.

Acknowledgments

We would like to thank all authors of the included studies in our review.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2021.711762/full#supplementary-material

Abbreviations

COVID-19, Coronavirus disease 2019; WHO: World health organization, ; ED: emergency department, ; PPE: personal protective equipment, ; IT: information technology.,

References

1. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. (2020) 395:497–506. doi: 10.1016/S0140-6736(20)30183-5

PubMed Abstract | CrossRef Full Text | Google Scholar

2. WHO. Responding to Community Spread of COVID-19: Interim Guidance, 7 March 2020 (2020).

3. Goshayeshi L, Rad MA, Bergquist R, Allahyari A, Hoseini B, MUMS Covid-19 Research Team. Demographic and clinical characteristics of the severe Covid-19 infections: first report from Mashhad University of Medical Sciences, Iran. medRxiv [Preprint]. (2020). doi: 10.1101/2020.05.20.20108068

CrossRef Full Text | Google Scholar

4. Holshue ML, DeBolt C, Lindquist S, Lofy KH, Wiesman J, Bruce H, et al. First case of 2019 novel coronavirus in the United States. N Engl J Med. (2020) 382:929–36. doi: 10.1056/NEJMoa2001191

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Torrisi M, Maresca G, De Cola MC, Cannavo A, Sciarrone F, Silvestri G, et al. Using telerehabilitation to improve cognitive function in post-stroke survivors: is this the time for the continuity of care? Int J Rehabil Res. (2019) 42:344–51. doi: 10.1097/MRR.0000000000000369

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Haleem A, Javaid M, Vaishya R. Effects of COVID 19 pandemic in daily life. Curr Med Res Pract. (2020) 10:78–9. doi: 10.1016/j.cmrp.2020.03.011

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Guest JL, Sullivan PS, Valentine-Graves M, Valencia R, Adam E, Luisi N, et al. Suitability and sufficiency of telehealth clinician-observed, participant-collected samples for SARS-CoV-2 testing: the iCollect cohort pilot study. JMIR Public Health Surveill. (2020) 6:e19731. doi: 10.2196/19731

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Rockwell KL, Gilroy AS. Incorporating telemedicine as part of COVID-19 outbreak response systems. Am J Manag Care. (2020) 26:147–8. doi: 10.37765/ajmc.2020.42784

PubMed Abstract | CrossRef Full Text | Google Scholar

9. WHO Global Observatory for eHealth. Telemedicine: Opportunities and Developments in Member States: Report on the Second Global Survey on eHealth. Geneva: World Health Organization (2010).

Google Scholar

10. CMS. Telemedicine: centers for Medicare and Medicaid services. (2020). Available online at: https://www.medicaid.gov/medicaid/benefits/telemedicine/index.html (accessed June 18, 2021).

11. Sood S, Mbarika V, Jugoo S, Dookhy R, Doarn CR, Prakash N, et al. What is telemedicine? A collection of 104 peer-reviewed perspectives and theoretical underpinnings. Telemed e-Health. (2007) 13:573–90. doi: 10.1089/tmj.2006.0073

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Van Dyk L. A review of telehealth service implementation frameworks. Int J Environ Res Public Health. (2014) 11:1279–98. doi: 10.3390/ijerph110201279

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Li P, Liu X, Mason E, Hu G, Zhou Y, Li W, et al. How telemedicine integrated into China's anti-COVID-19 strategies: case from a National Referral Center. BMJ Health Care Informatics. (2020) 27. doi: 10.2139/ssrn.3587226

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Ji Y, Ma Z, Peppelenbosch MP, Pan Q. Potential association between COVID-19 mortality and health-care resource availability. Lancet Global Health. (2020) 8:e480. doi: 10.1016/S2214-109X(20)30068-1

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Corden E, Rogers A, Woo W, Simmonds R, Mitchell C. A targeted response to the COVID-19 pandemic: analysing effectiveness of remote consultations for triage and management of routine dermatology referrals. Clin Exp Dermatol. (2020) 45:1047–50. doi: 10.1111/ced.14289

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Crowe M, Inder M, Farmar R, Carlyle D. Delivering psychotherapy by video conference in the time of COVID-19: some considerations. J Psychiatr Mental Health Nurs. (2020). doi: 10.1111/jpm.12659. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Gebbia V, Piazza D, Valerio MR, Borsellino N, Firenze A. Patients with cancer and COVID-19: a whatsapp messenger-based survey of patients' queries, needs, fears, and actions taken. JCO Glob Oncol. (2020) 6:722–9. doi: 10.1200/GO.20.00118

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Hollander JE, Carr BG. Virtually perfect? Telemedicine for COVID-19. N Engl J Med. (2020) 382:1679–81. doi: 10.1056/NEJMp2003539

CrossRef Full Text | Google Scholar

19. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. (2009) 6:e1000097. doi: 10.1371/journal.pmed.1000097

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Dodd S, Clarke M, Becker L, Mavergames C, Fish R, Williamson PR. A taxonomy has been developed for outcomes in medical research to help improve knowledge discovery. J Clin Epidemiol. (2018) 96:84–92. doi: 10.1016/j.jclinepi.2017.12.020

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Doraiswamy S, Abraham A, Mamtani R, Cheema S. Use of telehealth during the COVID-19 pandemic: scoping review. J Med Internet Res. (2020) 22:e24087. doi: 10.2196/24087

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Campion EW, Dorsey E, Topol E. State of telehealth. N Engl J Med. (2016) 375:154–61. doi: 10.1056/NEJMra1601705

CrossRef Full Text | Google Scholar

23. Ekeland AG, Bowes A, Flottorp S. Effectiveness of telemedicine: a systematic review of reviews. Int J Med Informatics. (2010) 79:736–71. doi: 10.1016/j.ijmedinf.2010.08.006

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Chae SH, Kim Y, Lee KS, Park HS. Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic stroke survivors: prospective comparative study. JMIR mHealth uHealth. (2020) 8:13. doi: 10.2196/17216

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Eslami P, R Niakan Kalhori S, Taheriyan M. eHealth solutions to fight against COVID-19: a scoping review of applications. Med J Islamic Republic Iran. (2021) 35:327–40. doi: 10.47176/mjiri.35.43

CrossRef Full Text | Google Scholar

26. Barrett PM, Bambury N, Kelly L, Condon R, Crompton J, Sheahan A. Measuring the effectiveness of an automated text messaging active surveillance system for COVID-19 in the south of Ireland, March to April 2020. Euro Surveill. (2020) 25:2000972. doi: 10.2807/1560-7917.ES.2020.25.23.2000972

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Chou E, Hsieh Y-L, Wolfshohl J, Green F, Bhakta T. Onsite telemedicine strategy for coronavirus (COVID-19) screening to limit exposure in ED. Emerg Med J. (2020) 37:335. doi: 10.1136/emermed-2020-209645

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Gong K, Xu Z, Cai Z, Chen Y, Wang Z. Internet hospitals help prevent and control the epidemic of COVID-19 in China: multicenter user profiling study. J Med Internet Res. (2020) 22:e18908. doi: 10.2196/18908

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Heslin SM, Nappi M, Kelly G, Crawford J, Morley EJ, Lingam V, et al. Rapid creation of an emergency department telehealth program during the COVID-19 pandemic. J Telemed Telecare. (2020). doi: 10.1177/1357633X20952632. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Kassaye SG, Spence AB, Lau E, Bridgeland DM, Cederholm J, Dimolitsas S, et al. Rapid deployment of a free, privacy-assured COVID-19 symptom tracker for public safety during reopening: system development and feasibility study. JMIR Public Health Surveill. (2020) 6:e19399. doi: 10.2196/19399

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Lin CH, Tseng WP, Wu JL, Tay J, Cheng MT, Ong HN, et al. A double triage and telemedicine protocol to optimize infection control in an emergency department in Taiwan during the covid-19 pandemic: retrospective feasibility study. J Med Internet Res. (2020) 22:e20586. doi: 10.2196/20586

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lopez-Villegas A, Maroto-Martin S, Baena-Lopez MA, Garzon-Miralles A, Bautista-Mesa RJ, Peiro S, et al. Telemedicine in times of the pandemic produced by COVID-19: implementation of a teleconsultation protocol in a hospital emergency department. Healthcare. (2020) 8:357. doi: 10.3390/healthcare8040357

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Martin G, Koizia L, Kooner A, Cafferkey J, Ross C, Purkayastha S, et al. Use of the HoloLens2 mixed reality headset for protecting health care workers during the COVID-19 pandemic: prospective, observational evaluation. J Med Internet Res. (2020) 22:e21486. doi: 10.2196/21486

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Yamamoto K, Takahashi T, Urasaki M, Nagayasu Y, Shimamoto T, Tateyama Y, et al. Health observation app for COVID-19 symptom tracking integrated with personal health records: proof of concept and practical use study. JMIR mHealth uHealth. (2020) 8:e19902. doi: 10.2196/19902

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Yasaka TM, Lehrich BM, Sahyouni R. Peer-to-peer contact tracing: development of a privacy-preserving smartphone app. JMIR mHealth uHealth. (2020) 8:e18936. doi: 10.2196/18936

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Becker CD, Forman L, Gollapudi L, Nevins B, Scurlock C. Rapid implementation and adaptation of a telehospitalist service to coordinate and optimize care for COVID-19 Patients. Telemed J e-health. (2021) 27:388–96. doi: 10.1089/tmj.2020.0232

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Dalla Costa G, Leocani L, Montalban X, Guerrero AI, Sørensen PS, Magyari M, et al. Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study. Neurol Sci. (2020) 41:1647–50. doi: 10.1007/s10072-020-04519-x

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Drew DA, Nguyen LH, Steves CJ, Menni C, Freydin M, Varsavsky T, et al. Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. (2020) 368:1362–7. doi: 10.1126/science.abc0473

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Ford D, Harvey JB, McElligott J, King K, Simpson KN, Valenta S, et al. Leveraging health system telehealth and informatics infrastructure to create a continuum of services for COVID-19 screening, testing, and treatment. J Am Med Informatics Assoc. (2020) 27:1871–7. doi: 10.1093/jamia/ocaa157

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Heo J, Sung M, Yoon S, Jang J, Lee W, Han D, et al. A patient self-checkup app for COVID-19: development and usage pattern analysis. J Med Internet Res. (2020) 22:e19665. doi: 10.2196/19665

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Jethwa T, Ton A, Paredes Molina CS, Speicher L, Walsh K, Knight D, et al. Establishing Mayo Clinic's coronavirus disease 2019 virtual clinic: a preliminary communication. Telemed J E-health. (2020) 26:1419–23. doi: 10.1089/tmj.2020.0145

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Joshi AU, Lewiss RE, Aini M, Babula B, Henwood PC. Solving community SARS-CoV-2 testing with telehealth: development and implementation for screening, evaluation and testing. JMIR mHealth uHealth. (2020) 8:e20419. doi: 10.2196/20419

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Khairat S, Meng C, Xu Y, Edson B, Gianforcaro R. Interpreting COVID-19 and virtual care trends: cohort study. JMIR Public Health Surveill. (2020) 6:e18811. doi: 10.2196/18811

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Kim DS, Chu H, Min BK, Moon Y, Park S, Kim K, et al. Telemedicine Center of Korean Medicine for treating patients with COVID-19: a retrospective analysis. Integr Med Res. (2020) 9:100492. doi: 10.1016/j.imr.2020.100492

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Lian W, Wen L, Zhou Q, Zhu W, Duan W, Xiao X, et al. Digital health technologies respond to the COVID-19 pandemic in a tertiary hospital in China: development and usability study. J Med Internet Res. (2020) 22:e24505. doi: 10.2196/24505

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Lwin N, Burgess J, Johnston C, Johnson N, Chung S. Hospital-in-the-Home experience of first 23 COVID-19 patients at a regional NSW hospital. Internal Med J. (2020) 50:1271–3. doi: 10.1111/imj.15016

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Mann DM, Chen J, Chunara R, Testa PA, Nov O. COVID-19 transforms health care through telemedicine: evidence from the field. J Am Med Informatics Assoc. (2020) 27:1132–5. doi: 10.1093/jamia/ocaa072

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Perlman A, Vodonos Zilberg A, Bak P, Dreyfuss M, Leventer-Roberts M, Vurembrand Y, et al. Characteristics and symptoms of app users seeking COVID-19-related digital health information and remote services: retrospective cohort study. J Med Internet Res. (2020) 22:e23197. doi: 10.2196/23197

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Ratwani R, Brennan D, Sheahan W, Fong A, Adams K, Gordon A, et al. A descriptive analysis of an on-demand telehealth approach for remote COVID-19 patient screening. J Telemed Telecare. (2020). doi: 10.1177/1357633X20943339. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Reeves JJ, Hollandsworth HM, Torriani FJ, Taplitz R, Abeles S, Tai-Seale M, et al. Rapid response to COVID-19: health informatics support for outbreak management in an academic health system. J Am Med Informatics Assoc. (2020) 27:853–9. doi: 10.1093/jamia/ocaa037

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Reforma LG, Duffy C, Collier AY, Wylie BJ, Shainker SA, Golen TH, et al. A multidisciplinary telemedicine model for management of coronavirus disease 2019 (COVID-19) in obstetrical patients. Am J Obstetrics Gynecol. (2020) 2:100180. doi: 10.1016/j.ajogmf.2020.100180

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Schinköthe T Gabri MR Mitterer M Gouveia P Heinemann V Harbeck N . A web- and app-based connected care solution for COVID-19 in- and outpatient care: qualitative study and application development. JMIR Public Health Surveill. (2020) 6:e19033. doi: 10.2196/19033

CrossRef Full Text | Google Scholar

53. Soriano JB, Fernández E, de Astorza Á, Pérez de Llano LA, Fernández-Villar A, Carnicer-Pont D, et al. Hospital Epidemics Tracker (HEpiTracker): description and pilot study of a mobile app to track COVID-19 in hospital workers. JMIR Public Health Surveill. (2020) 6:e21653. doi: 10.2196/21653

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Zhang H, Dimitrov D, Simpson L, Singh B, Plaks N, Penny S, et al. A web-based, mobile responsive application to screen healthcare workers for COVID symptoms: descriptive study. medRxiv [Preprint]. (2020). doi: 10.1101/2020.04.17.20069211

CrossRef Full Text | Google Scholar

55. Blazey-Martin D, Barnhart E, Gillis J Jr, Vazquez GA. Primary care population management for COVID-19 patients. J Gen Internal Med. (2020) 35:3077–80. doi: 10.1007/s11606-020-05981-1

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Judson TJ, Odisho AY, Neinstein AB, Chao J, Williams A, Miller C, et al. Rapid design and implementation of an integrated patient self-triage and self-scheduling tool for COVID-19. J Am Med Informatics Assoc. (2020) 27:860–6. doi: 10.1093/jamia/ocaa051

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Lisker G, Narasimhan M, Greenberg H, Ramdeo R, McGinn T. Ambulatory management of moderate to high risk COVID-19 patients: the Coronavirus Related Outpatient Work Navigators (CROWN) protocol. Home Health Care Manage Pract. (2020) 33:49–53. doi: 10.1177/1084822320964196

CrossRef Full Text | Google Scholar

58. Liu Y, Wang Z, Ren J, Tian Y, Zhou M, Zhou T, et al. A COVID-19 risk assessment decision support system for general practitioners: design and development study. J Med Internet Res. (2020) 22:e19786. doi: 10.2196/19786

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Nascimento BR, Brant LC, Castro ACT, Froes LEV, Ribeiro ALP, Cruz LV, et al. Impact of a large-scale telemedicine network on emergency visits and hospital admissions during the coronavirus disease 2019 pandemic in Brazil: data from the UNIMED-BH system. J Telemed Telecare. (2020). doi: 10.1177/1357633X20969529. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Nunziata F, Bruzzese E, Poeta M, Pierri L, Catzola A, Ciccarelli GP, et al. Health-care organization for the management and surveillance of SARS-CoV-2 infection in children during pandemic in Campania region, Italy. Italian J Pediatr. (2020) 46:170. doi: 10.1186/s13052-020-00928-y

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Sinha S, Kern LM, Gingras LF, Reshetnyak E, Tung J, Pelzman F, et al. Implementation of video visits during COVID-19: lessons learned from a primary care practice in New York City. Front Public Health. (2020) 8:514. doi: 10.3389/fpubh.2020.00514

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Nivet H, Crombé A, Schuster P, Ayoub T, Pourriol L, Favard N, et al. The accuracy of teleradiologists in diagnosing COVID-19 based on a French multicentric emergency cohort. Eur Radiol. (2021) 31:2833–44. doi: 10.1007/s00330-020-07345-z

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Kouroubali A, Kondylakis H, Kavlentakis G, Logothetides F, Stathiakis N, Petrakis Y, et al. An eHealth platform for the holistic management of COVID-19. Stud Health Technol Informatics. (2020) 273:182–8. doi: 10.3233/SHTI200636

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Jiang X, Deng L, Zhu Y, Ji H, Tao L, Liu L, et al. Psychological crisis intervention during the outbreak period of new coronavirus pneumonia from experience in Shanghai. Psychiatry Res. (2020) 286:112903. doi: 10.1016/j.psychres.2020.112903

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Jones MS, Goley AL, Alexander BE, Keller SB, Caldwell MM, Buse JB. Inpatient transition to virtual care during COVID-19 pandemic. Diabetes Technol Ther. (2020) 22:444–8. doi: 10.1089/dia.2020.0206

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Rosen K, Patel M, Lawrence C, Mooney B. Delivering telerehabilitation to COVID-19 inpatients:a retrospective chart review suggests it is a viable option. HSS J. (2020) 16(Suppl. 1):1–7. doi: 10.1007/s11420-020-09774-4

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Sakai T, Hoshino C, Yamaguchi R, Hirao M, Nakahara R, Okawa A. Remote rehabilitation for patients with COVID-19. J Rehabil Med. (2020) 52:jrm00095. doi: 10.2340/16501977-2731

CrossRef Full Text | Google Scholar

68. Sivan M, Halpin S, Hollingworth L, Snook N, Hickman K, Clifton IJ. Development of an integrated rehabilitation pathway for individuals recovering from COVID-19 in the community. J Rehabil Med. (2020) 52:jrm00089. doi: 10.2340/16501977-2727

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Wei N, Huang BC, Lu SJ, Hu JB, Zhou XY, Hu CC, et al. Efficacy of internet-based integrated intervention on depression and anxiety symptoms in patients with COVID-19. J Zhejiang Univ Sci B. (2020) 21:400–4. doi: 10.1631/jzus.B2010013

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Zarghami A, Farjam M, Fakhraei B, Hashemzadeh K, Yazdanpanah MH. A Report of the telepsychiatric evaluation of SARS-CoV-2 patients. Telemed J e-health. (2020) 26:1461–5. doi: 10.1089/tmj.2020.0125

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Zuccotti GV, Bertoli S, Foppiani A, Verduci E, Battezzati A. COD19 and COD20: an italian experience of active home surveillance in COVID-19 Patients. Int J Environ Res Public Health. (2020) 17:6699. doi: 10.3390/ijerph17186699

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Harris DA, Archbald-Pannone L, Kaur J, Cattell-Gordon D, Rheuban KS, Ombres RL, et al. Rapid telehealth-centered response to COVID-19 outbreaks in postacute and long-term care facilities. Telemed J e-health. (2021) 27:102–6. doi: 10.1089/tmj.2020.0236

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Sitammagari K, Murphy S, Kowalkowski M, Chou SH, Sullivan M, Taylor S, et al. Insights from rapid deployment of a “virtual hospital” as standard care during the COVID-19 pandemic. Ann Internal Med. (2021) 174:192–9. doi: 10.7326/M20-4076

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Martínez-García M, Bal-Alvarado M, Santos Guerra F, Ares-Rico R, Suárez-Gil R, Rodríguez-Álvarez A, et al. Monitoring of COVID-19 patients via telemedicine with telemonitoring. Rev Clin Esp. (2020) 220:472–9. doi: 10.1016/j.rceng.2020.07.001

CrossRef Full Text | Google Scholar

75. Annis T, Pleasants S, Hultman G, Lindemann E, Thompson JA, Billecke S, et al. Rapid implementation of a COVID-19 remote patient monitoring program. J Am Med Inform Associ. (2020) 27:1326–30. doi: 10.1093/jamia/ocaa097

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Cellai M, O'Keefe J. Characterization of prolonged COVID-19 symptoms in an outpatient telemedicine clinic. Open Forum Infect Dis. (2020) 7:ofaa420. doi: 10.1093/ofid/ofaa420

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Krenitsky NM, Spiegelman J, Sutton D, Syeda S, Moroz L. Primed for a pandemic: implementation of telehealth outpatient monitoring for women with mild COVID-19. Semin Perinatol. (2020) 44:151285. doi: 10.1016/j.semperi.2020.151285

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Lam PW, Sehgal P, Andany N, Mubareka S, Simor AE, Ozaldin O, et al. A virtual care program for outpatients diagnosed with COVID-19: a feasibility study. CMAJ Open. (2020) 8:E407–13. doi: 10.9778/cmajo.20200069

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Rabuñal R, Suarez-Gil R, Golpe R, Martínez-García M, Gómez-Méndez R, Romay-Lema E, et al. Usefulness of a telemedicine Tool TELEA in the management of the COVID-19 Pandemic. Telemed J e-health. (2020) 26:1332–5. doi: 10.1089/tmj.2020.0144

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Rigamonti C, Cittone MG, De Benedittis C, Rizzi E, Casciaro GF, Bellan M, et al. Rates of symptomatic SARS-CoV-2 infection in patients with autoimmune liver diseases in northern Italy: a telemedicine study. Clin Gastroenterol Hepatol. (2020) 18:2369–71.e1. doi: 10.1016/j.cgh.2020.05.047

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Rodler S, Apfelbeck M, Stief C, Heinemann V, Casuscelli J. Lessons from the coronavirus disease 2019 pandemic: will virtual patient management reshape uro-oncology in Germany? Eur J Cancer. (2020) 132:136–40. doi: 10.1016/j.ejca.2020.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Strik M, Caillol T, Ramirez FD, Abu-Alrub S, Marchand H, Welte N, et al. Validating QT-interval measurement using the apple watch ecg to enable remote monitoring during the COVID-19 pandemic. Circulation. (2020) 142:416–8. doi: 10.1161/CIRCULATIONAHA.120.048253

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Timmers T, Janssen L, Stohr J, Murk JL, Berrevoets MAH. Using eHealth to support COVID-19 education, self-assessment, and symptom monitoring in the Netherlands: observational study. JMIR mHealth uHealth. (2020) 8:e19822. doi: 10.2196/19822

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Xu H, Huang S, Qiu C, Liu S, Deng J, Jiao B, et al. Monitoring and management of home-quarantined patients with COVID-19 using a wechat-based telemedicine system: retrospective cohort study. J Med Internet Res. (2020) 22:e19514. doi: 10.2196/19514

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Kim SW, Lee KS, Kim K, Lee JJ, Kim JY. A brief telephone severity scoring system and therapeutic living centers solved acute hospital-bed shortage during the COVID-19 outbreak in Daegu, Korea. J Korean Med Sci. (2020) 35:e152. doi: 10.3346/jkms.2020.35.e152

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Kalhori SRN, Bahaadinbeigy K, Deldar K, Gholamzadeh M, Hajesmaeel-Gohari S, Ayyoubzadeh SM. Digital health solutions to control the COVID-19 pandemic in countries with high disease prevalence: literature review. J Med Internet Res. (2021) 23:e19473. doi: 10.2196/19473

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Vilendrer S, Patel B, Chadwick W, Hwa M, Asch S, Pageler N, et al. Rapid deployment of inpatient telemedicine in response to COVID-19 across three health systems. J Am Med Informatics Assoc. (2020) 27:1102–9. doi: 10.1093/jamia/ocaa077

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Bokolo AJ. Exploring the adoption of telemedicine and virtual software for care of outpatients during and after COVID-19 pandemic. Irish J Med Sci. (2020) 190:1–10. doi: 10.1007/s11845-020-02299-z

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Whaibeh E, Mahmoud H, Naal H. Telemental health in the context of a pandemic: the Covid-19 experience. Curr Treat Opt Psychiatry. (2020) 7:198–202. doi: 10.1007/s40501-020-00210-2

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Bahaadinbeigy K, Yogesan K, Wootton R. MEDLINE versus EMBASE and CINAHL for telemedicine searches. Telemed e-Health. (2010) 16:916–9. doi: 10.1089/tmj.2010.0046

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Morrison A, Polisena J, Husereau D, Moulton K, Clark M, Fiander M, et al. The effect of English-language restriction on systematic review-based meta-analyses: a systematic review of empirical studies. Int J Technol Assess Health Care. (2012) 28:138. doi: 10.1017/S0266462312000086

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Cao B, Gupta S, Wang J, Hightow-Weidman LB, Muessig KE, Tang W, et al. Social media interventions to promote HIV testing, linkage, adherence, and retention: systematic review and meta-analysis. J Med Internet Res. (2017) 19:e394. doi: 10.2196/jmir.7997

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Neupane D, McLachlan CS, Sharma R, Gyawali B, Khanal V, Mishra SR, et al. Prevalence of hypertension in member countries of South Asian Association for Regional Cooperation (SAARC): systematic review and meta-analysis. Medicine. (2014) 93:e74. doi: 10.1097/MD.0000000000000074

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: telehealth, telemedicine, COVID-19, coronavirus, SARS-CoV-2, pandemic, disaster management

Citation: Khoshrounejad F, Hamednia M, Mehrjerd A, Pichaghsaz S, Jamalirad H, Sargolzaei M, Hoseini B and Aalaei S (2021) Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges. Front. Public Health 9:711762. doi: 10.3389/fpubh.2021.711762

Received: 19 May 2021; Accepted: 21 June 2021;
Published: 19 July 2021.

Edited by:

Kum Fai Yuen, Nanyang Technological University, Singapore

Reviewed by:

Xue Li, Nanyang Technological University, Singapore
Yusheng Zhou, Nanyang Technological University, Singapore

Copyright © 2021 Khoshrounejad, Hamednia, Mehrjerd, Pichaghsaz, Jamalirad, Sargolzaei, Hoseini and Aalaei. 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: Shokoufeh Aalaei, YWFsYWVpc2gmI3gwMDA0MDttdW1zLmFjLmly

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