About the Author(s)


Rachel R. Yorlets Email symbol
Division of Infectious Diseases, Boston Medical Center, Boston, United States

F. Xavier Goméz-Olivé symbol
South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Carren Ginsburg symbol
South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Sadson Harawa symbol
South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Kathleen Kahn symbol
South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Stephen Tollman symbol
South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Mark Collinson symbol
South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa

Mark Lurie symbol
Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, United States

Citation


Yorlets R, Goméz-Olivé FX, Ginsburg C, et al. Self-reported HIV testing and treatment among migrants from northeast South Africa: A cross-sectional, population-based analysis. S Afr J HIV Med. 2025;26(1), a1666. https://doi.org/10.4102/sajhivmed.v26i1.1666

Scientific Letter

Self-reported HIV testing and treatment among migrants from northeast South Africa: A cross-sectional, population-based analysis

Rachel R. Yorlets, F. Xavier Goméz-Olivé, Carren Ginsburg, Sadson Harawa, Kathleen Kahn, Stephen Tollman, Mark Collinson, Mark Lurie

Received: 03 Oct. 2024; Accepted: 13 Jan. 2025; Published: 30 Apr. 2025

Copyright: © 2025. The Author(s). Licensee: AOSIS.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Introduction

Adults who move temporarily within South Africa from rural homes to urban economic and educational opportunities are highly prevalent and historically well documented as high-risk1,2,3,4 within the country’s generalised HIV epidemic, but less is known about these temporary internal migrants’ HIV care engagement in today’s universal ‘test and treat’ (UTT) era.5 Before persons living with HIV (PLWH) were eligible to start antiretroviral therapy (ART) immediately at diagnosis, researchers found that migrants were less likely to test for HIV,6 be diagnosed, and to both start and stay in care compared with their non-migratory counterparts.7,8,9,10,11 The UTT policy may be especially beneficial for migrants, but it is unclear if or how it has changed migrants’ HIV care interactions, as the health system remains unresponsive to migrant-specific needs.12 Historically, mobile populations in South Africa have experienced significant disruption events,13,14,15 but in the last decade, scientists suggest within-country migration is becoming a relatively more selective and less stressful process,16 as circumstances surrounding moves have become less dire.

South Africa has reached 95-79-9117 on the United Nations’ global 95-95-95 targets to end HIV by 2030: 95% of PLWH know their status, 95% of which adhere to treatment, and 95% of which achieve viral suppression,18 but we have no estimates of migrants’ progression through HIV care. Expansions in HIV testing suggest that we may not observe a difference in testing and receiving results by migration status but, given migrants’ heightened HIV acquisition risk and barriers to care continuity, we suspect that migrants are more likely to self-report a positive HIV test and less likely to report ART adherence. We used UTT era data from one of the country’s health and sociodemographic surveillance systems to describe migrants’ self-reported history of HIV testing, diagnosis, and treatment. We also synthesised the sociodemographic profile of migrants who were engaged at each of these three stages of care. With the knowledge that migrants in South Africa have been historically vulnerable within the HIV epidemic, we aimed to contribute to understanding the migrant experience across the HIV care continuum in the modern UTT era.

Research methods and design

Study setting

Since 1992, the South African Medical Research Council (SAMRC)/Wits Rural Public Health and Health Transitions Research Unit’s Agincourt Health and Sociodemographic Surveillance System has conducted a yearly census within its 420 square-kilometre study site in the Agincourt area of Mpumalanga province. The census records all births, deaths, and in- and out-migrations in some 20 000 households in 31 contiguous rural villages. Within the population (N > 116 000)19, there is a high prevalence of HIV and internal migration,20 making this an ideal setting for collecting data on self-reported HIV testing and treatment by migration status. We used data from the Migration Health and Follow-Up Study (MHFUS),21 which is a simple random sample of the 2016 Agincourt HDSS census; MHFUS included 3800 Xitsonga-speaking African participants aged 18–40 years, including migrants and permanent Agincourt residents. From February 2018 into early 2019, 3103 (82% of the original sample of 3800 MHFUS participants) respondents completed the MHFUS Wave 1 interview, which we used for these analyses.

Migration status

Participants were asked for their current usual residence, where they ‘typically spent four or more nights a week over the past year’. If respondents identified one of the 31 villages within the Agincourt study site, they were categorised as residents; otherwise, they were migrants. The open-ended residence question was validated through branched questions asking the province and village of current residence; both methods yielded nearly identical categorisations.

Sociodemographic characteristics

Participants confirmed their date of birth and sex from the Agincourt HDSS survey and reported their education, employment, and individual-level income for the prior month.

HIV care

At the end of the interview, participants who reported a history of an HIV test when asked and reported that they had received their results were asked, ‘If you wouldn’t mind sharing, what was the result of your most recent HIV test?’ Participants were asked about ART history.

Analysis

We generated descriptive statistics to quantify migrants’ and non-migrants’ self-reported HIV testing, status, and treatment history. We created a sociodemographic profile to characterise individuals who were retained at each stage.

Ethical considerations

Ethical clearance to conduct this study was obtained from the University of the Witwatersrand Human Research Ethics Committee (Medical) (reference no.: M170277) and Institutional Review Board Authorization Agreement #17–46 with Brown University (reference no.: IRB00001223).

Results

Among participants who completed the baseline questionnaire (N = 3103), 57% (n = 1764) were Agincourt residents, and 43% (n = 1339) were migrants who had been living away from their rural home for four or more nights a week over the prior year. A higher proportion of residents than migrants reported a history of an HIV test (92% vs 87%), diagnosis (12% vs 6%), and ART (89% vs 81%) (Figure 1).

FIGURE 1: Self-reported history of HIV testing, status, and antiretroviral therapy uptake among migrants and residents (N = 3103).

The MHFUS was age-restricted to adults 18–40 years old; in our sample, migrants and residents were in their late-twenties, on average. Compared to residents, a higher proportion of migrants were men, employed, had a secondary education, and earning an income (Table 1). Sociodemographic characteristics of migrants and residents who reported a prior HIV test did not differ from participants overall. For example, about two-thirds of all migrants and half of all residents reported a secondary or higher level of education; the same percentage of migrants and residents who reported a prior HIV test had a secondary education.

TABLE 1: Self-reported sociodemographic characteristics of participants who have received phases of HIV care.

Regardless of migration status, participants who reported living with HIV, and those who reported prior ART use, were disproportionately women, without a secondary education, and, on average, 3–4 years older than the mean age of all participants who received test results.

Conclusion

In our cross-sectional analysis in South Africa’s UTT era, Agincourt residents were more likely than migrants with ties to Agincourt to report a history of HIV testing, diagnosis, and treatment, consistent with migrants’ historic challenges to healthcare engagement while living away from home. Our sample also reflected demographic norms of migrants as men who move for work: migrant participants were mostly men, employed, and had at least a secondary education. Since our sample was predominantly male and previous Agincourt estimates found that up to 60% of its men migrate,22 it was unexpected that most of our participants (57%) were non-migrants, perhaps suggesting that migrants were under-represented in our sample.

We had suspected that, in the UTT era, HIV testing would not differ by migration status, but a higher proportion of residents reported a prior test (92% vs 87%). Sociodemographic features were similar among residents and migrants who had been tested. While HIV testing has expanded through home-based and clinic-based tests and uptake is relatively high,23 our finding that non-migrants were more likely to have tested for HIV is consistent with evidence that residents in this cohort are more likely to use healthcare.21

While we thought migrants would be more likely to report an HIV diagnosis, we found the opposite: 12% of residents who had tested reported a positive status versus 6% of migrants. This was surprising given migrants’ heightened risk of HIV acquisition,1,2,3,4 and our prior finding that the sensitivity of self-reported HIV-positive status was similar between MHFUS Wave 1 residents and migrants who consented to a study-administered dried blood spot HIV test – a subset (n = 1918) of the analytic sample used here (N = 3103).24 Without the ability to verify HIV status among all participants, we cannot know if our findings reflect a truly lower prevalence of migrants living with HIV at study baseline.

As suspected, migrants who disclosed a positive status were less likely than their resident counterparts to report a history of ART use (81% vs 89%). Other studies have reported that migrants living with HIV are less likely to start and stay in HIV care.7,8,9,10,11,25,26 Some explanations for migrants’ reduced ART adherence7 point to lifestyle disruption events inherent to mobility, including changes to healthcare,13,14,15 and navigating a health system designed for stable populations; migrants often have a different primary language7 and cultural norms.

Regardless of migration status, participants who reported a positive test and a history of ART were 3–4 years older, on average, disproportionately women, and less educated than those who reported a negative test or no treatment history. Women may be predominant because of their access to HIV testing during antenatal care, the ‘missing men’ phenomenon, or a truly higher prevalence among women. We may observe a lower education level among persons who disclosed their diagnosis and treatment if disclosure is perceived to be less risky.

We are limited by our inability to verify self-reported data, particularly participants’ history of HIV diagnosis or treatment, which may have been misclassified as a result of social desirability. In a previous analysis within this cohort, Yorlets et al. found that self-reported HIV diagnosis was highly predictive and insensitive,24 providing further evidence that laboratory test results are needed to validate self-reported negative status. Finally, while this is a cross-sectional analysis, temporality of migration status is established by the questionnaire, which asks about residence in the prior year.

We provide evidence in the UTT era that internal migrants in South Africa are less likely to start and stay in HIV care compared to their non-migrant counterparts, which supports historic evidence. Routine surveillance of self-reported HIV care engagement is needed to supplement laboratory-based results to evaluate mismatches between what PLWH need and what they receive. Alongside the global recognition that migration is a determinant of health,27 our findings support existing calls for migrant-specific policies to increase migrants’ HIV care uptake.

Acknowledgements

We thank the participants, fieldworkers, and staff associated with the Migration and Health Study Follow-Up Study, without whom this research would not be possible. We especially thank Michael White, Principal Investigator, and Hong Zia, a data manager for the study, both at the Brown University Population Studies and Training Center.

Competing interests

The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article.

Authors’ contributions

F.X.G.-O., M.C., and M.L. conceived of the research question and helped shape the analysis. R.R.Y. led analyses and wrote the article. S.H. was a project manager for data collection, with support from F.X.G.-O., C.G., K.K., and S.T., who lead the surveillance system in which this cohort is nested. R.R.Y., F.X.G.-O., C.G., S.H., K.K., S.T., M.C. and M.L. provided critical feedback and helped shape the research and the article.

Funding information

The authors report no conflicts of interest. The Migration, Urbanization, and Health in a Transition Setting Study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (reference no.: 1R01HD083374-01A1) and acknowledges support from the Population Studies and Training Center at Brown University (reference no.: 2P2CHD041020-21). The SAMRC/Wits Rural Public Health and Health Transitions Research Unit and Agincourt Health and Socio-Demographic Surveillance System, a node of the South African Population Research Infrastructure Network (SAPRIN) acknowledges funding from the Department of Science and Innovation, the University of the Witwatersrand, and the South African Medical Research Council, and previously the Wellcome Trust, United Kingdom (grant no.: 058893/Z/99/A, 069683/Z/02/Z, 085477/Z/08/Z, and 085477/B/08/Z).

R.R.Y was supported by a Postdoctoral Fellowship with the Boston University Clinical HIV/AIDS Research Training Program (National Institute of Allergy and Infectious Diseases [NIAID], reference no.: 5T32AI052074-17), a Predoctoral Fellowship through the Population Studies and Training Center at Brown University (Eunice Kennedy Shriver National Institute of Child Health and Human Development [NICHD], reference no.: T32 HD007338), and an HIV/AIDS Research Predoctoral Fellowship through Lifespan Health (National Institutes of Health [NIH], reference no.: 5T32MH078788-12). Her work was facilitated by the Providence/Boston Center for AIDS Research (reference no.: P30AI042853).

Data availability

The data that support the findings of this study are available from the corresponding author, R.R.Y., upon request.

Disclaimer

The views and opinions expressed in this article are those of the authors and are the product of professional research. The article does not necessarily reflect the official policy or position of any affiliated institution, funder, agency, or that of the publisher. The authors are responsible for this article’s results, findings, and content.

References

  1. Tanser F, Bärnighausen T, Hund L, Garnett GP, McGrath N, Newell ML. Effect of concurrent sexual partnerships on rate of new HIV infections in a high-prevalence, rural South African population: A cohort study. Lancet. 2011;378(9787):247–255. https://doi.org/10.1016/S0140-6736(11)60779-4
  2. Lurie M, Harrison A, Wilkinson D, Karim SA. Circular migration and sexual networking in rural KwaZulu/Natal: Implications for the spread of HIV and other sexually transmitted diseases. Health Transit Rev. 1997;7(3):17–27.
  3. Agadjanian V, Arnaldo C, Cau B. Health costs of wealth gains: Labor migration and perceptions of HIV/AIDS risks in Mozambique. Soc Forces. 2011;89(4):1097–1117. https://doi.org/10.1093/sf/89.4.1097
  4. Dobra A, Bärnighausen T, Vandormael A, Tanser F. Space-time migration patterns and risk of HIV acquisition in rural South Africa. AIDS Lond Engl. 2017;31(1):137–145. https://doi.org/10.1097/QAD.0000000000001292
  5. Minister Aaron Motsoaledi: Health Dept Budget Vote 2016/17 [homepage on the Internet]. South African Government. [cited 2022 Dec 30]. Available from: https://www.gov.za/speeches/debate-health-budget-vote-national-assembly-10-may-2016-dr-aaron-motsoaledi-minister-health
  6. Kranzer K, Van Schaik N, Karmue U, et al. High prevalence of self-reported undiagnosed HIV despite high coverage of HIV testing: A cross-sectional population based Sero-Survey in South Africa. PLoS One. 2011;6(9):e25244. https://doi.org/10.1371/journal.pone.0025244
  7. Tanser F, Bärnighausen T, Vandormael A, Dobra A. HIV treatment cascade in migrants and mobile populations. Curr Opin HIV AIDS. 2015;10(6):430–438. https://doi.org/10.1097/COH.0000000000000192
  8. Vandormael A, Newell ML, Bärnighausen T, Tanser F. Use of antiretroviral therapy in households and risk of HIV acquisition in rural KwaZulu-Natal, South Africa, 2004–12: A prospective cohort study. Lancet Glob Health. 2014;2(4):e209–e215. https://doi.org/10.1016/S2214-109X(14)70018-X
  9. Hallett T, Eaton J. A side door into care cascade for HIV-infected patients? J Acquir Immune Defic Syndr. 2013;63(Suppl. 2):S228–S232. https://doi.org/10.1097/qai.0b013e318298721b
  10. Plazy M, Dray-Spira R, Orne-Gliemann J, Dabis F, Newell ML. Continuum in HIV care from entry to ART initiation in rural KwaZulu-Natal, South Africa. Trop Med Int Health. 2014;19(6):680–689. https://doi.org/10.1111/tmi.12301
  11. Tulloch O, Machingura F, Melamed C. Health, migration and the 2030 agenda for sustainable development [homepage on the Internet]. [cited 2020 Nov 16]. Available from: https://odi.org/en/publications/health-migration-and-the-2030-agenda-for-sustainable-development/
  12. Shabalala FS, Vernooij E, Pell C, et al. Understanding reasons for discontinued antiretroviral treatment among clients in test and treat: A qualitative study in Swaziland. J Int AIDS Soc. 2018;21(S4):e25120. https://doi.org/10.1002/jia2.25120
  13. Hervitz HM. Selectivity, adaptation, or disruption? A comparison of alternative hypotheses on the effects of migration on fertility: The case of Brazil. Int Migr Rev. 1985;19(2):293–317. https://doi.org/10.1177/019791838501900205
  14. Ginsburg C, Bocquier P, Béguy D, et al. Healthy or unhealthy migrants? Identifying internal migration effects on mortality in Africa using health and demographic surveillance systems of the INDEPTH network. Soc Sci Med. 2016;164:59–73. https://doi.org/10.1016/j.socscimed.2016.06.035
  15. Choi K. Fertility in the context of Mexican migration to the United States: A case for incorporating the pre-migration fertility of immigrants. Demogr Res. 2014;30:703–738. https://doi.org/10.4054/DemRes.2014.30.24
  16. Collinson MA, White MJ, Bocquier P, et al. Migration and the epidemiological transition: Insights from the Agincourt sub-district of northeast South Africa. Glob Health Action. 2014;7(1):23514. https://doi.org/10.3402/gha.v7.23514
  17. UNAIDS. UNAIDS Country factsheets South Africa 2022 [homepage on the Internet]. [cited 2023 Jul 25]. Available from: https://www.unaids.org/en/regionscountries/countries/southafrica
  18. Frescura L, Godfrey-Faussett P, Feizzadeh AA, El-Sadr W, Syarif O, Ghys PD. Achieving the 95 95 95 targets for all: A pathway to ending AIDS. PLoS One. 2022;17(8):e0272405. https://doi.org/10.1371/journal.pone.0272405
  19. Kahn K, Collinson MA, Gómez-Olivé FX, et al. Profile: Agincourt health and socio-demographic surveillance system. Int J Epidemiol. 2012;41(4):988–1001. https://doi.org/10.1093/ije/dys115
  20. Ginsburg C, Collinson MA, Iturralde D, et al. Migration and settlement change in South Africa: Triangulating census 2011 with longitudinal data from the Agincourt health and demographic surveillance system in the rural north-east. S Afr J Demogr. 2016;17(1):133–198.
  21. Ginsburg C, Collinson MA, Gomez-Olive FX, et al. Internal migration and health in South Africa: Determinants of healthcare utilisation in a young adult cohort. BMC Public Health. 2021;21:554. https://doi.org/10.1186/s12889-021-10590-6
  22. Tienda M. Africa on the move: African migration and urbanisation in comparative perspective. Johannesburg: Wits University Press; 2006, p. 1–392.
  23. Jooste S, Mabaso M, Taylor M, et al. Geographical variation in HIV testing in South Africa: Evidence from the 2017 national household HIV survey. S Afr J HIV Med. 2021;22(1):1273. https://doi.org/10.4102/sajhivmed.v22i1.1273
  24. Yorlets RR, Lurie MN, Ginsburg C, et al. Validity of self-report for ascertaining HIV status among circular migrants and permanent residents in South Africa: A cross-sectional, population-based analysis. AIDS Behav. 2023;27(3):919–927. https://doi.org/10.1007/s10461-022-03828-w
  25. Larmarange J, Diallo MH, McGrath N, et al. The impact of population dynamics on the population HIV care cascade: Results from the ANRS 12249 treatment as prevention trial in rural KwaZulu-Natal (South Africa). J Int AIDS Soc. 2018;21(Suppl. 4):e25128. https://doi.org/10.1002/jia2.25128
  26. Terzian AS, Younes N, Greenberg AE, et al. Identifying spatial variation along the HIV care continuum: The role of distance to care on retention and viral suppression. AIDS Behav. 2018;22(9):3009–3023. https://doi.org/10.1007/s10461-018-2103-8
  27. MacPherson DW, Gushulak BD. Human mobility and population health: New approaches in a globalizing world. Perspect Biol Med. 2001;44(3):390–401. https://doi.org/10.1353/pbm.2001.0053


Crossref Citations

No related citations found.