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ORIGINAL RESEARCH article

Front. Glob. Womens Health, 13 August 2021
Sec. Contraception and Family Planning
This article is part of the Research Topic Understanding Urban Health Disparities: Family Planning Access and Use Among the Urban Poor in Low- and Middle-Income Countries View all 14 articles

Quality of Care in Family Planning Services: Differences Between Formal and Informal Settlements of Kira Municipality, Uganda

  • 1Makerere University, Johns Hopkins University Collaboration (MU-JHU), Kampala, Uganda
  • 2School of Pharmacy, Waterloo University, Waterloo, ON, Canada
  • 3Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
  • 4Department of Health Policy, Planning and Management, Makerere University School of Public Health, Kampala, Uganda
  • 5Centre for Demographic and Ageing Research, Umeå University, Umeå, Sweden
  • 6Department of Community Health and Behavioural Sciences Makerere University School of Public Health, Kampala, Uganda
  • 7Department of Epidemiology and Biostatistics, Makerere University School of Public Health, Kampala, Uganda

Background: Quality of care (QoC) of family planning (FP) affects contraceptive use, and it varies across types of urban settlement. This study assesses the difference in service delivery point (SDP) structural and process factors between formal and informal urban settlements, and the opinion of the client on the QoC in informal settlements. This is useful in creating an evidence base to advocate for better quality services for the most vulnerable in society.

Methods: This was a cross-sectional survey that included SDPs of Kira municipality in Wakiso district, Uganda. Data were collected from all the service points in Kira municipality with the caretakers consented. In addition, using multi-stage sampling, 626 women of reproductive age (15–49 years) who lived in the informal settlements of Kira municipality were interviewed. Data were collected using structured questionnaires, descriptive analysis was carried out in Stata version 14.0, and Chi-square and t-tests were used to compare the informal with the formal settlements.

Results: Formal settlements generally had more higher-level SDPs compared to informal settlements (value of p < 0.001). SDPs in the formal settlements provided more FP methods and had more community health workers (CHW) to support their work. Also, SDPs in the formal settlements were more likely to have long-term FP methods available and more likely to have trained personnel to insert and remove implants and IUDs compared to those in informal settlements. Additionally, more SDPs in the formal settlements provided counseling for permanent, long-term, and short-term FP methods. Of the 626 interviewed women, most of the women (68.6%) reported that they would not return to the previous FP provider or refer a friend to the same provider (72.7%).

Conclusions: There is a lower quality FP services in the informal settlements with a commensurable effect on the client satisfaction with the services. Therefore, improving the quality of FP services in informal settlements should be a top priority. Improved quality of services could act as a motivation to increase the uptake of modern contraceptives in such settings.

Introduction

In comparison to other regions, decline in fertility levels has been slower in sub-Saharan Africa (SSA) (1). The fertility rate in SSA was estimated to 5.1 births per woman in the period, 2010–2015 and projected to be 4.75 in the period, 2015–2020 (2), whereas the fertility rates are close to the desired 2.1 children per woman in Asia, Latin America, and the Caribbean for the same periods (35). The high fertility rate is associated with increased maternal mortality, neonatal mortality, and under-five mortality (6, 7). One of the major strategies for fertility reduction is the use of family planning (FP) methods, particularly modern contraception (8); however, over 225 million women are estimated to have an unmet need for FP, more so in sub-Saharan Africa (9, 10).

In Uganda, however the percentage of women aged 15–49 who use a modern contraceptive method has increased over the years, but still remains relatively low at 35% as of 2016 (11). The total fertility rate of the country remains one of the highest worldwide at 5.4 children per woman, with 28% of currently married women and 32% of sexually active unmarried women having an unmet need for FP. Moreover, 45% of contraceptive discontinuations were estimated by the 2016 Demographic and Health Survey (DHS) (11). Unmet need for contraception and contraceptive discontinuation can be due to several obstacles including, but not limited to, lack of knowledge of contraceptive methods, concerns of side effects, stock-outs, as well as low quality of FP services (9, 11).

High quality of care (QoC) in FP services is associated with increased and continued contraceptive use in several settings (1216). A multi-country analysis based on DHS data in 15 countries showed that about 7–27% of women discontinue contraception because of a reason related to the QoC (12). In a longitudinal analysis in Bangladesh, Koenig et al. (16) found that women had a 60% higher likelihood of adopting a modern method and a one-third lower likelihood of discontinuing the method if they received a higher quality of FP services from fieldworkers. Similarly in the Philippines, the quality of FP services women received determined maintenance and continuation of the method (17). Research in Uganda has also found that the quality of FP services affects significantly their utilization by clients (18). More specifically, providing counseling to the clients during FP services was found to improve both long-term outcomes, such as increased birth spacing and continued use of modern contraception methods, as well as short-term outcomes such as increased knowledge and satisfaction with the FP services (1921).

Despite the importance of quality in providing FP services, measuring the QoC can be challenging due to various definitions and components. Donabedian (22) discusses the measurement of QoC in three components, namely, structure (including the infrastructure of the health facility, equipment, and its commodities), process (the health provider's method of delivering care including interpersonal interaction with the client and technical competency), and outcome (the outcome of the service provided such as satisfaction of the clients). Based on the framework of Donabedian, recent literature in SSA and planning monitoring and accountability (PMA 2020) has synthesized three pillars of FP QoC as measured through the client satisfaction, and these are (1) socio-demographic characteristics of clients, providers, and facilities, (2) structural factors such as staffing, and (3) process factors such as provider–client interaction (13, 2229) as shown in Table 1.

TABLE 1
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Table 1. A modified framework of quality of family planning services according to PMA 2020.

The information required to understand the above aspects of QoC in FP can be obtained by either interviewing the clients using the services or through observing the interactions between the provider and the client. However, a combination of observations and client interviews is suggested to provide a better assessment (30).

Quality of care is usually perceived to be better in urban compared to rural settings. However, with increasing urbanization, it is important to examine the QoC in such settings, given that 68% of the population of the world will be living in urban areas by 2050 (31). Indeed, there is an empirical generalization that the fertility levels tend to be positively related to urbanization since most fertility indicators are better in urban areas than in rural areas. However, this gap is narrowing in many countries due, partly, to significantly worse outcomes among the urban poor living in the informal settlements (32). As opposed to the formal settlements, the informal settlements commonly known as slums are characterized by inadequate housing, insufficient living spaces, insecure land tenure, and lack of access to basic services including social services such as clean water and sanitation (33). Urban women in the highest wealth quintile, the use of contraception is two and half times more compared to urban women in the poorest wealth quintile; and a similar pattern emerges with respect to the unmet need for FP (32). This study sets out to assess the QoC of FP services at a service delivery point (SDP) with a focus on provider-related structural and process factors exploring variations between the informal and the formal settlements of Kira municipality. The study also assesses the FP service satisfaction among the women living in the informal settlements.

Materials and Methods

Study Design and Settings

This was a cross-sectional survey for all health facilities in Kira municipality. Kira is located in Wakiso District of the Central Region of Uganda and is the second most populated municipality in the country. Kira municipality is made up of three divisions, namely, Kira, Bweyogerere, and Namugongo, which occupy a total land area of about 98.83 km2. The rapid population growth in this area has in-turn compromised physical planning and effective service delivery including healthcare. This has eventually resulted in the growth of the informal settlements, whose inhabitants have a low socio-economic status and reside in poor household structures. The municipality headquarters are located about 10 km from the city center with a growing population of 400,000 people, of whom 47.8% are men and 52.2% are women (34, 35).

Description of Family Planning Services in Kira Municipality

Family planning services in Kira municipality are provided by various health facilities, including drug shops, health centers, and pharmacies. Some facilities are supported by the Ministry of Health (MOH) or non-government organizations (NGOs), and others are privately owned. FP is provided on a specific day and specific time in some facilities while other facilities do not have a specified day or specified time. FP services provided in the facilities range from short-term methods to permanent methods (36).

Study Population and Sampling Procedures

To measure the structural and process factors of quality of care, we surveyed all family planning service points at different levels of service in the Kira municipality, and these included general hospitals, health centers at level IV (managed by a doctor, and surgeries are carried out), level III (managed by a clinical officer and offers inpatient care), and level II (managed by a nurse and offers only outpatient care) (37), pharmacies, clinics, and drug shops and their caretakers. Health facilities whose caretakers consented (187 out of 192 facilities) were mapped and targeted for the survey.

In addition, women of reproductive age (1448) were interviewed to assess the perception of the client about the FP services in the informal settlements. A total of 626 women who lived in the informal settlements of the study area for at least 6 months were randomly sampled and recruited in the study. Multi-stage sampling was conducted. First, four out of the eight villages of the informal settlements of Kira municipality were randomly selected. Thereafter, 13 of the 65 Enumeration Areas (EAs) within these villages were randomly selected. Finally, the participants were randomly selected from a list of all households that had eligible women. The sample size for women respondents in this study was calculated primarily to measure the prevalence of contraceptive use and unmet need for family planning in this setting (38) using the Kish Leslie formula for cross-sectional studies, N = Z2PQσ2. We assumed a prevalence of modern contraceptive use in an urban setting in Uganda of 52.1% (11), a 95% level of confidence, a margin of error (d) of 0.05, and a Z score of 1.96 after adjusting for no response and design effect. The total size of the sample was 626 participants and the potential participants were selected using the multi-stage sampling through their enumeration areas and households.

Data Collection

Data for this analysis are a part of an earlier survey conducted to determine the unmet need for FP in informal settings (38). The data were collected by trained research assistants, who were familiar with Kira municipality. In addition, local guides who worked at the municipality supported the research assistants to easily identify the facilities for the mapping exercise and potential women for study participation. KoboCollect ( support@kobotoolbox.org), a mobile data collection application was used to collect the data. Before the data collection, the questionnaires (assessing the structural and process factors affecting the quality of FP at the SDP as well as the opinion of the women on the FP delivery) were initially pre-tested around the Makerere University area; the area has both the formal and the informal settlements, which made it ideal, given its similarities with the actual study area. Following the pre-test, to ensure quality quantitative data collection, the data entry screen was designed with skips and more restrictions added to ensure completeness of entry. On a daily basis, the completed questionnaires were uploaded to a remote server to which the PI and the study coordinator had access. The data were kept strictly confidential and later analyzed after de-identification.

Measures

For this analysis, the main outcome was the quality of FP services in Kira municipality, by comparing the informal and the formal settlement. A secondary outcome was the opinion of the user (women) about the quality of FP services from their respective SDPs. Quality of FP services was determined as the availability of provider-related structural and process measures at a given facility with respect to client satisfaction.

Statistical Analysis

Data analysis was performed with Stata version 14.0 (Stata Corp) software. Descriptive statistics for the baseline characteristics were conducted and the analysis was presented with summaries in percentages for the categorical variables, and mean (±SD) for continuous data. A comparison of key outcomes for the informal and the formal settlements was conducted using the Chi-square for categorical variables, and the t-test for the continuous variables, with a p-value at <5% for statistical significance cut-off. The opinion of the women on FP services was also described in proportions.

Results

Characteristics of Health Facilities in Kira Municipality

In Kira municipality, the majority of the health facilities in the informal settlements had clinics with one or two rooms (53.8%) and only 21.3% of the clinic had at least three rooms, drug shops (20%), health center III (2.5%), and health center II (1.3%) whereas, in the formal settlements, most of the health facilities had clinics 3+ rooms (29.0%), followed by pharmacies (23.4%), clinics with one to two rooms (16.2%), drug shops (16.2%) and health center III (10.3%).

In general, there were no statistical differences in facility ownership between the informal and formal settlements. However, the difference between the number of private health facilities in the formal settlements and the informal settlements should not be neglected, showing a barely significant p-value (p = 0.051); we found more private health facilities in the formal settlements. In addition, most of the facilities were privately owned (95.2%) and the majority (94.1%) of the facilities provided the FP services. Moreover, there was a statistically significant higher number of facilities that offered FP services in the formal settlements compared to the informal settlements, as shown in Table 2.

TABLE 2
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Table 2. Characteristics of health facilities in Kira municipality.

Provision of Family Services at the Health Facilities in Kira Municipality

Structural Factors

Overall, the mean number of FP methods provided by facilities was (3.7 ± 1.70), and facilities in the formal settlements provided significantly more FP methods (4.1 ± 1.78) compared to those in the informal settlements (3.3 ± 1.46). Health facilities in the formal settlements were supported by more number of CHWs in providing FP services (3 ± 1.58) compared to the informal settlements (1 ± 0.45), and long-term FP methods were significantly more available in the formal settlement facilities (26.2%) compared to the informal settlement facilities (8.8%). More facilities in the formal settlements had the requirements to insert and remove the implant (30.0%) and IUD (21.5%) compared to the informal settlements (10.8%) and (3.8%), respectively, and showing significant differences in both cases. Similarly, more facilities in the formal settlements had more trained personnel to insert and remove the implant (33.6%) and IUD (25.2%) compared to the informal settlements (14.8%) and (5.0%), respectively (Table 3).

TABLE 3
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Table 3. Family planning services provided at the facilities.

Process Factors

Significantly more facilities in the formal settlements provided counseling for permanent FP methods (24.5%) compared to those in the informal settlements (10.8%), and more facilities in the formal settlements offered counseling for long-term FP (48.0%) compared to those in the informal settlements (21.6%). Likewise, more facilities in the formal settlements (55.9%) provided counseling for short-term FP compared to) the informal settlements (39.2%) (Table 3).

Client Opinions

A total of 626 women were interviewed in the survey. The mean (SD) age of the participants was 28.1 (±7.6) years. The adolescents and young people aged 15–24 years represented 36.1% of all women in the survey. Most (55.9%) respondents had attended secondary or a higher level of education, and nearly 75% were currently married or living with a man.

The majority of the participants reported that they would not return to the previous FP provider (68.6%) or refer a relative or a friend to the very provider (72.7%). The majority of the participants (83.4%) reported having told about FP when they visited the health facility for other services. Most of the participants (77.3%) reported having been visited by a CHW for FP services, as shown in Table 4.

TABLE 4
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Table 4. The opinion of participants on family planning services in Kira municipality.

Discussion

Overall, most of the surveyed facilities were privately owned, and the majority of them provided FP services. The formal settlements had more health facilities and a higher level of facilities compared to the informal settlements. Facilities in the formal settlements provided more FP methods, used more CHWs were more likely to have long-term FP methods available, and trained personnel to insert and remove implants and IUDs compared to those in the informal settlements. Despite more facilities in the formal settlements providing counseling for permanent, long-term, and short-term FP methods, the difference was smallest for short-term methods. Finally, although most of the participants reporting to have been told about FP when they visited a health facility for other services and the majority were visited by a CHW for FP services, the majority of the participants reported that they would not return to their previous FP provider and would not refer a relative or friend to that provider.

Generally, the quality and availability of FP services were less in the informal settlements compared to the formal settlements. A similar observation was reported in Bangladesh (39, 40). Relatedly in Uganda, sexual and reproductive health were reported to be poorer among the urban poor (41). In this study, levels of health facilities were lower in the slum areas; health facilities in the informal settlement provided less number of methods and had less number of methods available. These results reflect that the urban poor women often live in informal settlements that are largely excluded from the formal services (42). Previous studies have shown that many health facilities in informal settlements are private and usually lack basic resources such as diagnostic equipment, supplies, and medicines. In Bangladesh, for example, most of the dwellers of the informal settlement were reported to get their health services from the informal health facilities such as drug shops (43). Therefore, the dwellers of the informal settlement are reported to rely on such facilities because the public health facilities closest to them are also in poorer conditions. However, in addition to being in a poor condition, private clinics charge high fees for FP services and hence making contraception in informal settlements less affordable and utilized (32, 44). For instance, in Kenya, women living in informal settlements were less likely to use short-term or long-term methods compared to their counterparts living in formal settlements (45).

Despite the weak positive association between the number of staff in a health facility and client satisfaction (25), the number of trained personnel available is critical in defining the quality of FP services (23). In our study, informal settlement facilities had less number of trained personnel to insert and remove the implants and IUDs compared to those in the formal settlements. This is similar to Oketch et al. (46) findings in Kenya in which they reported that informal settlements are likely to be served by informal providers that are likely to be poorly regulated and hence provide poor quality of services. In our study, the lesser number of trained personnel to insert and remove the implants or IUDs in slum areas may be generally explained by the significantly declining provision of health services in the public sector, which is known to use trained health providers (47). The declining provision of health services in the public sector leads to an increase in private providers who can be difficult to regulate especially in emphasizing professionalism in providing the services. In Uganda particularly, 80% of contraceptive users obtained their methods from a public facility in 1988 and by 2006 this proportion had decreased to as low as 34% (32, 47).

Generally, the average proportion of counseling for all FP methods was low at 34.9%. However, this was higher than what was reported in India from a longitudinal household survey for which 22% of interviewed women aged 15–49 reported to have received FP counseling (48). This difference could probably be due to different study designs and populations. The Indian study used a longitudinal survey and included only those women who were currently on modern contraception as opposed to our study which used a cross-section design and inclusion of all women of reproductive age (15–49 years). Even though the provision of FP counseling for all methods (short-term, long-term, and permanent) was less in the informal settlements compared to the formal settlements, the gap was smallest for short-term methods. This implies a significant deficit in the use of long-term and permanent methods in the informal settlements, yet dwellers of such settlements need more reliable and easy compliance methods due to the higher fertility rate associated with the poor communities (32). Similar to our findings, a study conducted in Kenya showed that the women in slum areas choose more short-term contraceptives compared to the long-term methods (45). This can be due to the long-term methods being more expensive than the short-term; hence, it is less affordable by women in the poorest wealth quintile in the informal settlements (49). Low levels of counseling, especially on long-term and permanent FP methods, may lead to persistence in localized social networks of the urban poor, which may serve to sustain and foster misconception about the contraceptive methods and limit information about the availability of FP services hence undermining the use of contraception with an eventual increase of unmet need for contraception.

In this study, more participants reported having been told about FP when they visited the health facility for other services (83.4%) and were visited by a CHW for FP services (77.3%). This implies that in Uganda, women are likely to get significant information about FP, which is reflected in the 2016 DHS finding, reporting that 99% of women aged 15–49 had general knowledge about FP (11).

Although significant FP service client satisfaction was reported in previous intervention research studies in Uganda (5052), our findings show that this may not be a similar picture in a program setting. This is because most of the participants in our study reported that they would not return to their previous FP provider and would not refer a relative or friend to that FP provider. Mindfully, the perceived quality of services is considered to be a predictor of client satisfaction (53, 54). Moreover, in our study, all the quality defining parameters of quality of care at SDPs were generally below 50% and worse in slum areas; this may imply a commensurable effect on the client satisfaction with the services in the slum areas. The discrepancy in previous interventional research studies (5052) and our findings (program setting) could be because, in research settings, participants receive better care than clients in a program setting. However, our findings are also discrepant from Akol A et al. findings (55), in rural districts of Uganda (program setting) reported that most of the Depot-medroxyprogesterone acetate (DMPA) clients (74%) were very satisfied receiving their method from the drug shop, and 98% intended to get their next injection from the same type of facility. This higher satisfaction in Akol A et al. (55) study could be due to the fact that the drug shop attendants in this study had been just trained to offer DMPA 1 year before the evaluation survey. Implying that if FP providers are trained, clients can get satisfied with the services.

Strengths and Limitations

We were not able to adjust for other factors in the analysis due to the low sample size and the many indicators of quality we were using. Controlling for other factors such as the level and the ownership of facilities could potentially change the results. The complexity of defining quality of care, as well as selecting and constructing the indicators, is another limitation of the study. Lastly, satisfaction is always subjective and may not easily be generalized. The strength of the study is the inclusion of all health facilities in the municipality; therefore, we think that our findings may be generalizable to similar town settings.

Conclusion and Recommendations

Indicators of FP quality of care were less available or provided in the informal settlement-based facilities compared to the formal settlement-based facilities. Clients in the informal settlements were generally not satisfied with the FP services despite significant FP information. Additionally, FP services in the informal settlements have lower quality services and hence need to be improved to fulfill the contraceptive demands of people in such settlements.

Since most of the urban residents in the least developed countries live in the informal settlements, there is a need to reduce existing inequalities in the provision of FP services. Therefore, policies should not be made based on urban averages alone, but instead, priority should be given to the specific needs of the poor and vulnerable people in the informal settlements. This can be achieved by training health care providers in the informal settlements to provide appropriate and adequate counseling to increase client satisfaction. Furthermore, the government should establish a partnership with development partners such as NGOs and private facilities in providing subsidized professional and quality FP services, especially long-term FP to the urban poor living in the informal settlements.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The study involved human participants and it was reviewed and approved by the Ethics Committee of Makerere University School of Public Health higher degrees (HDREC-684). The patients/participants provided their written informed consent to participate in this study.

Author Contributions

ZL led the the data analysis and drafting of the manuscript. MT led the project, participated in data collection and supported data analysis. OFR supported data management. LA and FEM supported the conceptualization of the project and data collection. MB supported the data analysis and provided overall technical guidance to the conceptualization and drafting of the manuscript. All authors contributed to the article and approved the submitted version.

Funding

The study was funded by a fellowship from the International Union for the Scientific Study of Population (IUSSP) as part of a Bill & Melinda Gates Foundation Grant aimed at supporting research and policy engagement on fertility and family planning in urban development (Grant number OPP1179495).

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.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

The authors thank the research assistants for collecting the data, the participants for taking part, and finally, the district and municipality authorities for granting permission to undertake the study.

References

1. Assaf S, Wang W, Mallick L. Quality of care in family planning services in Senegal and their outcomes. BMC Health Serv Res. (2017) 17:346. doi: 10.1186/s12913-017-2287-z

PubMed Abstract | CrossRef Full Text | Google Scholar

2. (UN). UN. World Population Prospects: The 2015 Revision. New York, NY: Population Division: United Nations (2016).

3. UNFPA. Wanted Total Fertility Rate: Measure of Evaluation. New York, NY: United Nations Population Fund (2015).

4. UNFPA. State of the World Population. (2019). New York, NY: United Nations Population Fund.

Google Scholar

5. United nations DESA. The World Population Prospects: 2015 Revision. (2015). Working Paper No. ESA/P/WP.241, New York.

6. Cleland J, Bernstein S, Ezeh A, Faundes A, Glasier A, Innis J. Family planning: the unfinished agenda. Lancet. (2006) 368:1810–27. doi: 10.1016/S0140-6736(06)69480-4

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Ahmed S, Li Q, Liu L, Tsui AO. Maternal deaths averted by contraceptive use: an analysis of 172 countries. Lancet. (2012) 380:111–25. doi: 10.1016/S0140-6736(12)60478-4

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Adedze M, Osei-Yeboah R. Underuse of modern contraception in sub-Saharan Africa: are there implications for sustainable development and climate change? A review of the literature. Eur J Contracept Reprod Health Care. (2019) 24:314–8. doi: 10.1080/13625187.2019.1618448

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Bongaarts J, Casterline J. Fertility transition: is sub-Saharan Africa different? Popul Dev Rev. (2013) 38(Suppl. 1):153. doi: 10.1111/j.1728-4457.2013.00557.x

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Sedgh G, Ashford LS, Hussain R. Unmet Need for Contraception in Developing Countries: Examining Women's Reasons for not Using a Method. New York, NY: Guttmacher Institute (2016).

Google Scholar

11. (UBOS)_ICF UBoS. Uganda Demographic and Health Survey 2016. Kampala, Uganda and 427 Rockville, Maryland, USA: UBOS (2018).

12. Blanc AK, Curtis SL, Croft TN. Monitoring contraceptive continuation: links to fertility outcomes and quality of care. Stud Fam Plann. (2002) 33:127–40. doi: 10.1111/j.1728-4465.2002.00127.x

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Fruhauf T, Zimmerman L, Kibira SPS, Makumbi F, Gichangi P, Shiferaw S, et al. Measuring family planning quality and its link with contraceptive use in public facilities in Burkina Faso, Ethiopia, Kenya and Uganda. Health Policy Plan. (2018) 33:828–39. doi: 10.1093/heapol/czy058

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Arends-Kuenning M, Kessy FL. The impact of demand factors, quality of care and access to facilities on contraceptive use in Tanzania. J Biosoc Sci. (2007) 39:1. doi: 10.1017/S0021932005001045

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Mariko M. Quality of care and the demand for health services in Bamako, Mali: the specific roles of structural, process, and outcome components. Soc Sci Med. (2003) 56:1183–96. doi: 10.1016/S0277-9536(02)00117-X

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Koenig MA, Hossain MB, Whittaker M. The influence of quality of care upon contraceptive use in rural Bangladesh. Stud Fam Plann. (1997) 28:278–89. doi: 10.2307/2137859

PubMed Abstract | CrossRef Full Text | Google Scholar

17. RamaRao S, Lacuesta M, Costello M, Pangolibay B, Jones H. The link between quality of care and contraceptive use. Int Fam Plan Perspect. (2003) 29:76–83. doi: 10.2307/3181061

CrossRef Full Text | Google Scholar

18. Mugisha JF, Reynolds H. Provider perspectives on barriers to family planning quality in Uganda: a qualitative study. BMJ Sex Reprod Health. (2008) 34:37–41. doi: 10.1783/147118908783332230

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Sanogo D, RamaRao S, Jones H, N'Diaye P, M'Bow B, Diop CB. Improving quality of care and use of contraceptives in Senegal. Afr J Reprod Health. (2003) 7:57–73. doi: 10.2307/3583214

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Abdel-Tawab N, Roter D. The relevance of client-centered communication to family planning settings in developing countries: lessons from the Egyptian experience. Soc Sci Med. (2002) 54:1357–68. doi: 10.1016/S0277-9536(01)00101-0

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Zapata LB, Tregear SJ, Curtis KM, Tiller M, Pazol K, Mautone-Smith N, et al. Impact of contraceptive counseling in clinical settings: a systematic review. Am J Prev Med. (2015) 49:S31–45. doi: 10.1016/j.amepre.2015.03.023

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Donabedian A. Evaluating the quality of medical care. Milbank Mem Fund Q. (1966) 44:166–206. doi: 10.2307/3348969

CrossRef Full Text | Google Scholar

23. Bill & Melinda Gates Institute for Population Reproductive Health; Department of Population FaRHJHBSoPH. Performance monitoring and Accountability 2020_Progress Report | January 2017. Baltimore, MD: Johns Hopkins Bloomberg School of Public Health (2020).

24. Tessema GA, Streak Gomersall J, Mahmood MA, Laurence CO. Factors determining quality of care in family planning services in Africa: a systematic review of mixed evidence. PLoS ONE. (2016) 11:e0165627. doi: 10.1371/journal.pone.0165627

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Agha S, Do M. The quality of family planning services and client satisfaction in the public and private sectors in Kenya. Int J Qual Health Care. (2009) 21:87–96. doi: 10.1093/intqhc/mzp002

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Hutchinson PL, Do M, Agha S. Measuring client satisfaction and the quality of family planning services: a comparative analysis of public and private health facilities in Tanzania, Kenya and Ghana. BMC Health Serv Res. (2011) 11:1–17. doi: 10.1186/1472-6963-11-203

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Tafese F, Woldie M, Megerssa B. Quality of family planning services in primary health centers of Jimma Zone, Southwest Ethiopia. Ethiop J Health Sci. (2013) 23:245–54. doi: 10.4314/ejhs.v23i3.7

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Wang W. Assessing the Quality of Care in Family Planning Antenatal and Sick Child Services at Health Facilities. Kenya, Namibia, and Senegal: ICF International (2014).

29. Bruce J. Fundamental elements of the quality of care: a simple framework. Stud Fam Plann. (1990) 21:61–91. doi: 10.2307/1966669

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Bessinger RE, Bertrand JT. Monitoring quality of care in family planning programs: a comparison of observations and client exit interviews. Int Fam Plan Perspect. (2001) 27:63–70. doi: 10.2307/2673816

CrossRef Full Text | Google Scholar

31. Ritchie H, Roser M. Urbanization. Our World in Data. New York, NY (2018).

Google Scholar

32. Ezeh AC, Kodzi I, Emina J. Reaching the urban poor with family planning services. Stud Fam Plann. (2010) 41:109–16. doi: 10.1111/j.1728-4465.2010.00231.x

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Christian Werthmann JB. Improving Informal Settlements: Ideas from Latin America. Harvard Design Magazine Spring (2008): 31–34

Google Scholar

34. Statistics UBOS. The National Population and Housing Census 2014 – Main Report. Kampala, Uganda. (2016).

Google Scholar

35. UBOS. UBOS Uganda demographic and health survey 2016: key indicators report. Kampala, Uganda 2017. Rockville, MD (2017).

36. Tetui M, Ssekamatte T, Akilimani P, Sirike J, Fonseca Rodríguez O, Atuyambe L, et al. Geospatial distribution of family planning services in Kira municipality, Wakiso district, Uganda. Front Global Womens Health. (2020) 1:28. doi: 10.3389/fgwh.2020.599774

CrossRef Full Text | Google Scholar

37. Tetui M, Coe A-B, Hurtig A-K, Bennett S, Kiwanuka SN, George A, et al. A participatory action research approach to strengthening health managers' capacity at district level in Eastern Uganda. Health Res Policy Syst. (2017) 15:39–53. doi: 10.1186/s12961-017-0273-x

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Moses Tetui TS, Baroudi M, Birabwa C, Kibira SP, Lynn Atuyambe AD, Makumbi FE. Total demand, use and unmet need for modern contraceptives among women living in informal settlements in Kira Municipality, Wakiso district, Uganda. Implications Urban Health. (2021). doi: 10.3389/fgwh.2021.655413

CrossRef Full Text

39. Angeles G, Ahsan KZ, Streatfield PK, El Arifeen S, Jamil K. Reducing Inequity in Urban Health: have the intra-urban differentials in reproductive health service utilization and child nutritional outcome narrowed in Bangladesh? J Urban Health. (2019) 96:193–207. doi: 10.1007/s11524-018-0307-x

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Islam M, Sultana N. Risk factors for pregnancy related complications among urban slum and non-slum women in Bangladesh. BMC Pregnancy Childbirth. (2019) 19:235. doi: 10.1186/s12884-019-2392-6

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Kamara JK, Namugambe BM, Egessa R, Kamanga G, Renzaho AMN. The Socioeconomic and Sexual Health Status of Young People Living in Urban Slum Areas of Kampala, Uganda. J Urban Health. (2019) 96:616–31. doi: 10.1007/s11524-019-00347-3

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Alex Ezeh P. Barriers to Family Planning Among the Urban Poor_Reducing Inequities: Ensuring Universal Access to Family Planning. The Lance. (2017) 389:559–70.

43. Akhter N, Sushil J, Howlader R, Sultana N, Ishaq F, Ziaul M, et al. Health Care Seeking Behavior of Slum-Dwellers in Dhaka City. Results of a Household Survey. Dhaka: Institute of Health Economics University of Dhaka (2015).

44. Ziraba AK, Mills S, Madise N, Saliku T, Fotso J-C. The state of emergency obstetric care services in Nairobi informal settlements and environs: results from a maternity health facility survey. BMC Health Serv Res. (2009) 9:1–8. doi: 10.1186/1472-6963-9-46

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Ochako R, Izugbara C, Okal J, Askew I, Temmerman M. Contraceptive method choice among women in slum and non-slum communities in Nairobi, Kenya. BMC Womens Health. (2016) 16:35. doi: 10.1186/s12905-016-0314-6

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Oketch M, Mutisya M, Ngware M, Ezeh AC. Why are there proportionately more poor pupils enrolled in non-state schools in urban Kenya in spite of FPE policy? Int J Educ Dev. (2010) 30:23–32. doi: 10.1016/j.ijedudev.2009.08.001

CrossRef Full Text | Google Scholar

47. Ezeh AC, Mberu BU, Emina JO. Stall in fertility decline in Eastern African countries: regional analysis of patterns, determinants and implications. Philos Trans R Soc B Biol Sci. (2009) 364:2991–3007. doi: 10.1098/rstb.2009.0166

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Dehingia N, Dixit A, Averbach S, Choudhry V, Dey A, Chandurkar D, et al. Family planning counseling and its associations with modern contraceptive use, initiation, and continuation in rural Uttar Pradesh, India. Reprod Health. (2019) 16:178. doi: 10.1186/s12978-019-0844-0

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Creanga AA, Gillespie D, Karklins S, Tsui AO. Low use of contraception among poor women in Africa: an equity issue. Bull World Health Org. (2011) 89:258–66. doi: 10.2471/BLT.10.083329

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Okullo J, Okello Q, Birungi H, Askew I, Janowitz B, Cuthbertson C, et al. Improving quality of care for family planning services in Uganda. Reprod Health. (2003). doi: 10.31899/rh4.1219

CrossRef Full Text | Google Scholar

51. Jarvis L, Wickstrom J, Shannon C. Client perceptions of quality and choice at static, mobile outreach, and special family planning day services in 3 African countries. Global Health Sci Pract. (2018) 6:439–55. doi: 10.9745/GHSP-D-18-00047

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Kipp W, Flaherty A. User feedback from family-planning clients in Uganda. Int J Health Care Qual Assur. (2003) 16:334–40. doi: 10.1108/09526860310499990

CrossRef Full Text | Google Scholar

53. Cho WH, Lee H, Kim C, Lee S, Choi KS. The impact of visit frequency on the relationship between service quality and outpatient satisfaction: a South Korean study. Health Serv Res. (2004) 39:13–33. doi: 10.1111/j.1475-6773.2004.00213.x

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Berendes S, Heywood P, Oliver S, Garner P. Quality of private and public ambulatory health care in low and middle income countries: systematic review of comparative studies. PLoS Med. (2011) 8:e1000433. doi: 10.1371/journal.pmed.1000433

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Akol A, Chin-Quee D, Wamala-Mucheri P, Namwebya JH, Mercer SJ, Stanback J. Getting closer to people: family planning provision by drug shops in Uganda. Global Health Sci Pract. (2014) 2:472–81. doi: 10.9745/GHSP-D-14-00085

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: family planning services, quality of health care, urban health, informal settlements, Uganda

Citation: Lukyamuzi Z, Tetui M, Fonseca-Rodríguez O, Atuyambe L, Makumbi FE and Baroudi M (2021) Quality of Care in Family Planning Services: Differences Between Formal and Informal Settlements of Kira Municipality, Uganda. Front. Glob. Womens Health 2:656616. doi: 10.3389/fgwh.2021.656616

Received: 21 January 2021; Accepted: 19 July 2021;
Published: 13 August 2021.

Edited by:

Sabu S. Padmadas, University of Southampton, United Kingdom

Reviewed by:

Manuela Farris, Sapienza University of Rome, Italy
Yan Che, Fudan University, China

Copyright © 2021 Lukyamuzi, Tetui, Fonseca-Rodríguez, Atuyambe, Makumbi and Baroudi. 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: Zubair Lukyamuzi, zlukyamuzi@mujhu.org

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