Strengthening Health System’s Capacity for Linkage to HIV Care for adolescent girls and young women and adolescent boys and young men in South Africa (SheS’Cap-Linkage): Protocol for a mixed methods study in KwaZulu-Natal, South Africa
1Burden of Disease Research Unit, South African Medical Research Council, Cape Town, South Africa
2Division of Health Systems and Public Health, Stellenbosch University, Cape Town, South Africa
3School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
4Biostatistics Unit, South African Medical Research Council, Cape Town, South Africa
5Health System Research Unit, South African Medical Research Council, Cape Town, South Africa
6HIV Prevention Research Unit, South African Medical Research Council, Cape Town, South Africa
7School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
8Division of Global HIV & TB, Centers for Disease Control and Prevention, Pretoria, South Africa
* Corresponding author Email: Edward.Nicol@mrc.ac.za; Telephone: (021) 938 0956Abstract
Introduction
In South Africa, HIV prevalence among adolescent girls and young women (AGYW) was 5.8% (15-19 years) and 15.6% (20-24 years) respectively in 2017. Amongst South African males, HIV prevalence in 2017 was 4.7% (15-19 years), 4.8% (20-24 years), 12.4% (25-29 years) and 18.4% (30-34 years). The National Department of Health adopted the universal test and treat (UTT) strategy in 2016, resulting in increases in same-day antiretroviral therapy initiations and linkage to care. Monitoring progress towards attainment of South Africa’s 95-95-95 targets amongst AGYW and adolescent boys and young men (ABYM) relies on high quality data to identify and address gaps in linkage to care. The purpose of this study is to provide evidence to guide efforts to improve linkage to, and retention in, HIV care among AGYW and ABYM in KwaZulu-Natal, in the context of the UTT strategy.
Methods and analysis
This is a mixed methods study, which will be conducted in uMgungundlovu district of KwaZulu-Natal, over a 24-month period, in 22 purposively selected HIV testing and treatment service delivery points (SDPs). For the quantitative component, a sample size of 1100 participants will be recruited into the study. The qualitative component will include 30 participating patients who were successfully linked to care, 30 who were not, and 30 who have never tested for HIV. The questionnaire study population comprises of 231 healthcare providers and AGYW aged 15-24 years and ABYM aged 15-35 years old. Primary outcomes will be evaluated using a logistic regression model. A time to event analysis will also be conducted taking the study design into account. Quantitative data for outcome variables and process indicators will be summarized by domain evaluated with logistic regression to account for potential confounders. For qualitative data, manual thematic content analysis will be conducted.
Ethics and dissemination
The protocol was approved by the South African Medical Research Council Health Research Ethics Committee (EC052-11/2020). Findings from the study will be communicated to the study population and results will be presented to stakeholders and at appropriate local and international conferences. Outputs will also include a policy brief, peer reviewed journal articles and research capacity building through research degrees.
Article notes
Competing Interest Statement
The authors have declared no competing interest.
Funding Statement
The funders had and will not have a role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Introduction
South Africa has the biggest HIV epidemic globally, with more than 7.9 million people living with HIV (PLHIV) in 2020 [1,2]. Adolescent girls and young women (AGYW) aged 15-24 years represent one of the populations at highest risk for HIV-infection with an estimated HIV incidence of 1.5% [3]. Recent estimates show that 5.8% of adolescent girls aged 15-19 years were HIV-positive, compared with 4.7% of adolescent boys in that age group in year 2017. In the 20-24 year age group, 10.9% of young women were HIV-positive compared with 4.8% of young men; in the 25-29 year age group, 27.5% of women were HIV-positive versus 12.4% of men; in the 30-34 year age group, 34.7% of women were HIV-positive versus 18.4% of men [3]. These figures highlight the specific vulnerability of AGYW, but they also show that adolescent boys and young men (ABYM) have a substantial risk of HIV.
Despite South Africa’s remarkable progress with antiretroviral therapy (ART) scale-up, ART coverage remains sub-optimal, particularly among HIV-positive AGYW and ABYM aged 15-24 years among whom only 40% were receiving ART in 2017 [3]. Among people living with HIV aged 25-49 years, 63.1% were receiving ART, showing that there is a gap in linkage to, and retention in, HIV treatment services. Less than 50% of HIV-positive adolescents and young people aged 15-24 years were virally suppressed in 2017. Among people living with HIV (25 to 34 years), 69.0% of women and only 41.5% of men were virally suppressed in 2017 [3]. These data highlight the challenges in linking and retaining adolescents and young people in HIV care. This is a major public health challenge for the South African National Department of Health.
Several factors account for the increased vulnerability of AGYW to HIV infection including intergenerational sexual relationships, gender power imbalances, gender-based violence, poverty and the low status of women, exclusion from economic opportunities and limited access to secondary schooling [4, 5]. Relationships with older men lead to power imbalances increasing the likelihood of intimate partner violence and the non-use of condoms during sex [5]. Socially excluded, marginalised adolescents and young people are particularly vulnerable to HIV infection and poor access to HIV treatment and care, including people with disabilities, people who use drugs (PWUD), lesbian, gay, bisexual, transgender, and intersex (LGBTI) people, sex workers and undocumented migrants.
While AGYW are disproportionately affected by HIV, heterosexual men remain a critical population in HIV prevention. Men are less likely than women to test for HIV, engage in care in a timely way and remain in care [6-8]. In South Africa in 2018, 93% of women living with HIV were aware of their status compared to 88% of HIV-positive men [9]. Programs for the prevention of mother to child transmission of HIV enable women to access HIV testing services during routine antenatal appointments [8-10], which partly accounts for more women testing for HIV compared to men. Men report worrying that queuing outside a testing facility will be taken as evidence that they are living with HIV and avoid testing because they are terrified of a positive result [11]. While women have the benefit of a woman-centric health system, hegemonic masculinities largely exclude men from engaging with the health care systems [8]. HIV stigma, homophobia and gender norms also threaten men’s engagement in HIV prevention and treatment services [8].
As per the Joint United Nations Program on HIV and AIDS (UNAIDS) and the World Health Organisation (WHO) HIV strategic recommendations for countries, South Africa embarked on rolling out Universal Test and Treat (UTT) in September 2016. UTT is a WHO-supported initiative believed to be key for attaining the UNAIDS fast-track targets, aimed at reducing both HIV mortality and new infections to below 500 000 by 2020 [12]. The 2030 targets included the 95-95-95 targets, that state that 95% of PLHIV should know their status, 95% of those who know their status should be on treatment and 95% of those on treatment should be virally supressed [13]. UTT advocates that all individuals testing for HIV be initiated on treatment regardless of their clinical staging or CD4 count [14]. Through UTT, HIV transmission can be reduced by early initiation to ART coupled with adherence to treatment. This suppresses the viral load in infected persons, thus reducing the risk of transmission [15, 16]. To attain the potential benefits of UTT strategies, those who test HIV-positive must be linked to care for treatment initiation immediately after testing, regardless of where they tested [17]. Further, in order to achieve viral load suppression, all those on ART must be retained in care and adhere to lifelong ART [18].
Monitoring progress towards attainment of South Africa’s 95-95-95 strategic HIV treatment targets relies on high quality data to identify and address gaps in ART coverage, quality of care, prescription adherence and resource allocation. This study, which will monitor linkage to, and retention in HIV care among AGYW and ABYM in the uMgungundlovu district, KwaZulu-Natal, seeks to answer three questions. Firstly, what are the available service delivery models that are seeing higher linkage to care, and continuity of care and treatment among AGYW and ABYM? Secondly, what is the rate of acceptability and uptake of linkage to care service delivery models – facility-only, community-only, and community-facility hybrid models? Thirdly, what factors influence acceptability and decision-making around the use of different service delivery models? The study aims to describe the current approaches used to engage AGYW and ABYM in the treatment continuum to generate knowledge which can be used to provide recommendations on the best practices for linkage to and retention in HIV care services for AGYW age 15-24 years and ABYM aged 15-35 years.
Materials and methods
The objectives of the study are
- To describe the socio-demographic characteristics of AGYW (15-24 years) and ABYM (15-35 years) newly diagnosed with HIV who access HIV testing services in the uMgungundlovu district of KwaZulu-Natal, and to compare service delivery models.
- To describe the HIV testing experiences of AGYW and ABYM newly diagnosed with HIV in the uMgungundlovu district, comparing experiences across service delivery models.
- Among HIV-positive AGYW and ABYM, to quantify linkage to and retention in HIV care across different service delivery models, and to describe the factors associated with linkage to and retention in HIV care and health impacts thereof, in the uMgungundlovu district.
- To identify the mechanisms (reasoning and decision-making) and context (individual, structural social and health systems factors) that influence AGYW’s and ABYM’s uptake of HIV treatment and care services to describe the relative success of different HIV treatment service delivery models.
Setting
The setting for this study, which will be conducted in the uMgungundlovu district in KwaZulu-Natal (Figure 1), have been described extensively in a complimentary study [19]. This predominantly rural district, with high HIV prevalence (district average of 37.1% in those 30-49 years old) and an 89% medically uninsured population, offers an excellent setting for monitoring UTT alongside interventions seeking to improve linkage to HIV care in the public sector. uuMgungundlovu district is comprised of seven municipalities, all of which have rural areas, namely uMshwathi, Umgeni, Mpofana, Impendle, Msunduzi, uMkhambathini and Richmond.
Study design
The SHeS’Cap-Linkage study, which compliments the SHeS’Cap-PrEP study [19], is a sequential, explanatory, mixed methods study that will be conducted at 22 purposively selected HIV testing and treatment service delivery points (SDPs). Unlike the SHeS’Cap-PrEP study [19] that focused on AGYW and ABYM who tested HIV negative at the selected pre-exposure Prophylaxis (PrEP) SDPs (health clinics, school-based and community-based centers), this study will focus on AGYW and ABYM with a positive HIV test outcome. These will include quantitative analysis of routine program monitoring data; monitoring of linkage to and retention in HIV care among AGYW and ABYM who test HIV-positive in selected SDPs, and in-depth interviews (IDIs) with AGYW and ABYM to describe the barriers to, and enablers of linkage to, and retention in HIV care. We will also conduct key informant interviews (KIIs) with healthcare providers involved in the implementation of the UTT program in the district.
The primary outcomes for this study are linkage to care within 14 days and retention in care at six months after HIV diagnosis. Linkage to care is defined as “the proportion of AGYW (15-24 years) and ABYM (15-35 years) per SDP per month who have been initiated onto ART as evidence by a record in their TIER.Net or for whom baseline CD4 results have been captured into their TIER.Net record within 0-14 days (within 2 weeks) of their HIV-positive test at enrolment.” Retention in care is defined as “the proportion of AGYW (15-24 years) and ABYM (15-35 years) per SDP per month for whom an entry has been captured into the National Health Laboratory Service (NHLS) for confirmed linkage at 6 months after their positive HIV test at enrolment.”
Study population and recruitment
The study population will consist of two groups: a.) healthcare providers, comprising of district and health facility managers, nurses, health information officers, staff involved in data collection at facility and district levels, program managers, monitoring and evaluation officers responsible for each of the seven sub-districts (strata) in the uMgungundlovu district, and b.) AGYW aged 15-24 years and ABYM aged 15-35 years old who test HIV-positive during the routine facility-based, school-based, and community-based HIV testing services. This cohort will be recruited and followed up at one month using questionnaires and at 6 months through routine data. Eligible participants will be considered based on the inclusion and exclusion criteria listed in Table 1.
Participants will be enrolled in the study as they await HIV testing in participating primary health care health facilities, schools and community-level HIV testing and treatment points (described collectively as SDPs). Upon enrolment, they will be grouped into two distinct cohorts for analysis:
- Newly enrolled AGYW and ABYM who test HIV-positive in a participating SDP on the day of enrolment during the 12 months data collection period (current protocol).
- Newly enrolled AGYW and ABYM who test HIV negative on the day of enrolment (SHeS’Cap-PrEP cohort [19]).
Participants will be followed up at 1 and 6 months after enrolment using quantitative and qualitative data collection methods. Data on the HIV testing experience of AGYW and ABYM will be collected cross-sectionally, whereas the linkage and retention data will be monitored prospectively over six months using routine data. In addition, health service and system contextual factors that may influence linkage to and retention in HIV care in participating SDPs will be investigated. Data collection will be over a 24-month period (August 2021 to July 2023). AGYW and ABYM will be recruited at selected SDPs and followed up for 7 months using quantitative and qualitative data collection methods.
Sampling
Service delivery points (SDPs) and sample size for individuals to be enrolled
The criteria for selecting the 22 SDPs included in this study have been reported elsewhere [19]. Published studies and previous surveillance data from KwaZulu-Natal province in South Africa demonstrate an average linkage to care rate of 62% post HIV testing. However, recent findings from a district neighboring uMgungundlovu, reported a linkage to care rate of 83% [28]. We assume the linkage to care rates in uMgungundlovu district municipality to be 10% higher than 62% reported from the province based on the possible impact of UTT on HIV uptake. Also, we intend to compare the three service delivery models (facility-based, school-based, and community-based) across the seven sub-districts in uMgungundlovu. Since the study is non-randomised (unmatched study) with purposive sampling, it will be exploratory in nature and will inform the rates of linkage to care based on the different SDPs to facilitate better planning for intervention studies.
Sample size calculations (Table 2) are illustrative of the power of the study design to detect difference in coverage by service delivery models and are based on the comparison of proportions between clusters of fixed sizes in each service delivery group at a specific time point (i.e., 6 months follow-up). The sample size was done for the comparison of mainly community versus facility service delivery models for all the participants with the assumption that the participants attending schools i.e., TVET colleges and High schools will be included in the facility and community-based arms. The number of clusters (SDPs) needed to detect differences between the community- and facility-based service delivery models is 11, each translating to 22 in total with 50 participants per cluster with a very low intraclass correlation coefficient (ICC) of and significance level of 0.05 [20]. The sample and power calculation were done using Stata v14.2 [21].
The quantitative component of the study will target to enrol from the available 22 service delivery points a sample size of 1100 (50 participants x 22 SDPs) across all three primary service delivery models during the 24 months study period. Since there is a small number of clusters the comparison of the service delivery models will be done at the cluster level and between the SDPs since an analysis at the participant level is not advised. For the qualitative component, 90 purposively selected participants, aggregated by age and sex, who had enrolled at one of the SDPs and a fraction of those who have never had an HIV test will be interviewed. Based on the 1-month follow-up outcome data, 30 participants who were successfully linked to care, 30 who did not and 30 who have never tested for HIV will be included.
Furthermore, to investigate the health service and system contextual factors that may influence linkage to and retention in HIV care in participating SDPs, a purposive sample of 231 healthcare providers will be selected based on their experience implementing the UTT program (Table 3). These will consist of at least one from each available cadres per participating SDP and staff from each of the seven local municipalities offices, including the district office.
Data collection
Baseline quantitative data collection will commence simultaneously in all 22 participating SDPs using self-administered electronic questionnaires built into REDCap [22]. The enrolment and data collection processes are summarized in Figure 2.
Secondary data sources, including routine data from facility-based health information systems, routine data from district-level TIER.Net, data from the National Health Laboratory Service (NHLS) and data from the South African Medical Research Council (SAMRC)’s Rapid Mortality Surveillance (RMS) containing monthly information about deaths registered by the South African Department of Home Affairs will be used to obtain information on linkage to and retention in care in the SDPs where this project will be implemented. The RMS, therefore, will be used to confirm that the individual considered as not linked to care or not retained in care was not deceased. Table 4 gives an overview of the outcome variables, and data sources and tools.
A health system/facility assessment survey tool [23-24] will be used to collect both quantitative and qualitative data. The qualitative data will focus specifically on healthcare providers’ perceptions on the implementation of UTT. Healthcare providers at each SDP will be approached by interviewers and depending on availability, an appointment will be secured. This is necessary not to disrupt the daily functioning of the SDPs. In addition, HAST and HIV service managers in the district health team will also be invited to contribute to the semi-structured interviews. Given this study’s emphasis on strengthening the quality and use of routine data, we will use the Performance of Routine Information Management (PRISM) framework [25] to structure our health system assessments. An example of how the PRISM framework and tools [26] have been customised in a particular setting by the lead author is described elsewhere [27]. The health system assessment tool has been field tested, refined and used in another study [28].
Health system readiness data relevant to the following domains will be collected. Domains include readiness to implement new policies and systems, leadership and governance, clinical processes (e.g., package of care delivered, integration with TB and other services, monitoring and evaluation/ information management, clinical oversight), drug supply and support services management (e.g., laboratory services), human resource management, and financial management.
We will also collect qualitative data using IDIs and KIIs. IDIs will be undertaken with a subset of 90 enrolled male and female participants, to contribute to a nuanced understanding of the drivers and dynamics of linkage to and retention in HIV care, including the mechanisms (reasoning and decision-making) and context (individual, structural social and health systems factors) that influence AGYW’s and ABYM’s uptake of HIV treatment and care services to describe the relative success of different HIV treatment service delivery models. In order to obtain wide-ranging responses, a maximum variation purposive sampling technique will be applied to include a varied representation of participants in terms of age, gender, marital status, employment status, geographic area and location of SDPs utilized. These will include:
- At least one enrolled participant from each participating SDP
- Participants who tested HIV-positive at participating SDPs who did and did not link to care within 14 days, and who did and did not remain in care at 6 months after their diagnosis, if non-linked participants can be reached
- Participants who enrolled in the study and responded to the baseline interview but did not test for HIV.
Furthermore, 22 KIIs will be conducted with all or purposively selected stakeholders including reproductive and healthcare providers at different sites and primary health care centers. The KIIs will focus on the barriers to, and facilitators of linkage to care, and perspectives of ways to improve the uptake of HIV treatment and care services to describe the relative success of different HIV treatment service delivery models. During the KIIs, process mapping will also be conducted to understand the processes and steps involved in the delivery of the services in each of the models. In this case, emphasis will be placed on the inputs, outputs, and outcomes. The duration of the IDIs, and KIIs will range from 60–120 minutes depending on how the discursive and interactive process unfolds.
Data management
Fieldwork supervisors will do daily quality checks on completeness of REDCap records on the tablets, before uploading data over 3G or Wi-Fi to the REDCap folder stored securely on the SAMRC’s server. A detailed description of the data management plan has been described elsewhere [19].
Data analysis
The number of enrolled participants per SDPs over time and the number for whom 1- and 6-month outcome data are available will be presented. Throughout the analysis, outcomes will be disaggregated by HIV status and gender, which will be a covariate in analysis where sample size permits.
Analysis of 1-month and 6-month data (from questionnaires and routine data sources) will guide stratification and reporting by additional outcomes, such as proportion who took up the offer of immediate ART initiation at HIV diagnosis. Baseline characteristics of enrolled participants will be summarized by pre-/post-exposure status, to allow consideration of selection biases and lack of balance. Primary outcomes will be evaluated using a logistic regression model and the standard errors of the estimated odds ratios will be adjusted for the clustering of participants within clinics. A time to event analysis will also be conducted for the primary outcome of time to linkage in HIV care, taking the study design into account. Barriers and facilitators of linkage to care will be considered in the modelling process.
The different service delivery models will be compared based on gender and age. A descriptive analysis will be conducted, and where possible a statistical association between linkage to care and different service delivery points will be conducted. Given the small number of clusters the comparison of the service delivery models will be done at the cluster level since an analysis at the participant level is not advised. Adjustment for covariates can be done to adjust the comparison between the groups for possible confounders. Given the exploratory nature of the study design the descriptive analysis of the coverage profiles over time will be the important information provided by the statistical analysis.
The process evaluation will be analysed through mixed methods. Quantitative data for outcome variables and process indicators will be summarized by domain evaluated with logistic regression to account for potential confounders. Data will be reported by sub-district and the difference between the categories will be tested using Chi-square test or using the Fisher’s exact if the assumption for a large enough sample size was not met. Linkage to care and retention in care will be expressed as proportions of the HIV-positive cohort. Characteristics of barriers and enablers to linkage to or retention in care will also be expressed as proportions and stratified by age and gender and tested using the appropriate statistical test (Chi-square/Fisher’s exact tests). The association between socio-demographic variables and possible barriers and enablers will be tested using either the chi-square or fisher’s exact tests. Furthermore, univariate analysis will be done to determine the possible predictors of retention in care. A p-value of <0.05 will be considered statistically significant. A table shell is presented in Table 5 (a and b).
Univariate analyses will also be used to describe the background characteristics of healthcare providers and health service readiness. Bivariate analysis will be done by cross-tabulating background characteristics of healthcare providers (age, education, job category, place of work, gender, and years employed) with the behavioural and organizational factors. Bar charts will be used to display bivariate analyses of key behavioural factors and organizational factors. A comparison between the different SDPs will be undertaken as well as an analysis to assess the effect of management support on the behavioural factors around health information. In addition to the above analyses, information from key informants on organisational determinants affecting the District Health Management Information Systems’ performance will be collated.
For qualitative data, manual thematic content analysis will be driven by the main questions of interest (e.g., barriers and facilitators of linkage to care). Two co-investigators (including the lead author) will read each translated transcript independently to gain a general understanding of its content and scope, and thereafter will develop a structured coding framework guided by the main questions of interest, as well as allowing for new concepts to emerge through open coding. The independent analyses will then be compared for consistency; areas of discrepancies will be identified through critical evaluation of the sets of themes. The source quotes will be reviewed and agreed upon, and a final thematic report will then be generated from the combined analyses. Through comparative analysis within and between interviews, we will develop categories of coded information which will then be linked to broader themes emerging across interviews. The same codes will be used to analyse the data within ATLAS.ti software and this will be used to compare and complement the manual analysis. Data from the qualitative interviews will be triangulated, where appropriate, with quantitative data emerging from the questionnaires.
Ethics and dissemination
Ethical approval for this study was obtained from the South African Medical Research Council Health Research Ethics Committee (Ref #: EC052-11/2020) on 19 January 2021. Gatekeeper permissions were also obtained from the KwaZulu Natal Provincial Departments of Health (Ref #: KZ_202010_032), the uMgungundlovu health districts, and facilities. This project was also reviewed in accordance with CDC human research protection procedures and was determined to be research, but CDC investigators did not interact with human subjects or have access to identifiable data or specimens for research purposes. A waiver of parental consent has also been granted for participants aged 15–17 years, and documentation and informed consent process will be followed as for participants 18 years and older.
We will obtain oral and written informed consent from all potential participants in the study prior to their participation. Participation will be voluntary, and participants will be informed during recruitment that they could withdraw at any stage without consequences from the study team or the facilities which they attend. Any event deemed to be a serious adverse event (e.g., breach of participant confidentiality) will be systematically recorded and will follow the Standard Operating Procedures of the SAMRC Ethics Committee, which includes reporting adverse or unexpected events within 48 hours to the SAMRC Ethics Committee. Participation in the study may include disclosure of emotional and personal issues such as violence and stigma. Field staff will be trained on first-line response to disclosure of violence (LIVES) and will be capacitated to provide supportive referrals through the provision of a referral directory, should this be needed.
Dissemination of results will be extensive, both through scientific (publications and conference presentations) and through feedback and materials for the department of health, at facility, district, and national levels. The findings of the study will be presented to facility-based, district, provincial and national stakeholders, implementing partners, researchers in the scientific community and members of the public of South Africa, including participants attending primary care facilities in uMgungundlovu district. The anonymity and confidentiality of the participants will be preserved by not revealing any identifying information during the dissemination of study findings. Outputs will include a brief policy-relevant summary of findings, peer-reviewed journal articles, research capacity building through one or more research degrees, and materials to support enhanced capacity for scale-up of the interventions.
Discussion
The aim of this study is to provide evidence to guide efforts to improve linkage to, and retention in HIV care among adolescent girls and boys, and young women and men in KwaZulu-Natal, in the context of the UTT strategy. Through UTT, HIV transmission can be reduced by early initiation to ART coupled with adherence to treatment. This suppresses serum concentration of the HIV virus (viral load count) in infected persons, reducing the risk of transmitting the virus to a negative person [15-16, 29]. To attain the potential benefits of UTT strategies, those who test HIV-positive must be linked to care for treatment initiation immediately after testing, regardless of where they were tested [17]. Further, in order to achieve viral load suppression, all those on ART must be retained in care and adhere to lifelong ART [18]. This study has the potential to provide epidemiological data to further strengthen the HIV program in KwaZulu-Natal, and guide initiatives aimed at reaching the UNAIDS 95-95-95 targets.
The strengths of this study include the combination of research methods to answer the research questions. The study will combine data collection from people who take up HIV testing services and test HIV-positive with program monitoring through routine data to generate evidence to guide improvements in district and facility HIV services and ultimately to assist South Africa in reaching the UNAIDS 95-95-95 targets. The possible limitations of this study include the fact that we will be sampling adolescents which require the study team to be more sensitive and aware of their well-being during the data collection as they might not be able to adequately express their health care service experiences. However, field staff will be trained on sensitive interview techniques and the provision of LIVES, to ensure adolescents feel safe and are able to disclose personal information. Other limitations have been described extensively in a complimentary study [19].
Data Availability
No datasets were generated or analysed during the current study. All relevant data from this study will be made available upon study completion
Disclaimer
The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the official position of the funding agencies.
Financial Disclosure
This work will be funded by the South African Medical Research Council and supported by the
U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) through the Centers for Disease Control and Prevention, under the terms of Cooperative Agreement Number 1 NU2GGH002193-01-00, awarded to EN and CM. https://www.cdc.gov/ The funders had and will not have a role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests
I have read the journal’s policy and the authors of this manuscript have the following competing interests: the authors declare no competing interest.