Skip to main content

Advertisement

Log in

Exploring the Association Between Mobility and Access to HIV Services Among Female Sex Workers in Zimbabwe

  • Original Paper
  • Published:
AIDS and Behavior Aims and scope Submit manuscript

Abstract

Female sex workers (FSW) face structural barriers to HIV-service access, however the effect of their mobility is uncertain. Using cross-sectional data from 2839 FSW in 14 sites in Zimbabwe, we explored the association between mobility (number of trips, distance, duration) in the past 12 months and five HIV-service-access outcomes: exposure to community mobilisation, clinic attendance, HIV testing, antiretroviral treatment initiation, and viral suppression (< 1000 copies per mL). We used modified-Poisson regression, and natural-effects models to estimate how the effect of trip frequency was mediated by distance and duration away. Each additional trip in 12 months was associated with increased community-mobilisation-event attendance (adjusted RR 1.08, 95% CI 1.04–1.12) and attending clinic two-or-more times (adjusted RR 1.02, 95% CI 1.00–1.05). There was little evidence of any other associations, or of mediation. Our findings are consistent with literature that found the effects of mobility to vary by context and outcome. This is the first study to consider many FSW-mobility and HIV-service-access measures together. Future research on mobility and health-related behaviour should use a spectrum of measures.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Baral S, Beyrer C, Muessig K, Poteat T, Wirtz AL, Decker MR, et al. Burden of HIV among female sex workers in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Infect Dis. 2012;12:538–49.

    PubMed  Google Scholar 

  2. Sagtani RA, Bhattarai S, Adhikari BR, Baral D, Yadav DK, Pokharel PK. Violence, HIV risk behaviour and depression among female sex workers of eastern Nepal. BMJ Open. 2013;3:e002763.

    PubMed  PubMed Central  Google Scholar 

  3. Li Q, Li X, Stanton B. Alcohol use among female sex workers and male clients: an integrative review of global literature. Alcohol Alcohol. 2010;45:188–99.

    PubMed  PubMed Central  Google Scholar 

  4. Shannon K, Csete J. Violence, condom negotiation, and HIV/STI risk among sex workers. JAMA. 2010;304:573–4.

    PubMed  CAS  Google Scholar 

  5. Scorgie F, Nakato D, Harper E, Richter M, Maseko S, Nare P, et al. ″We are despised in the hospitals” sex workers’ experiences of accessing health care in four african countries. Cult Health Sex. 2013;15:450–65.

    PubMed  Google Scholar 

  6. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365:493–505.

    PubMed  PubMed Central  CAS  Google Scholar 

  7. Bekker L-G, Johnson L, Cowan F, Overs C, Besada D, Hillier S, et al. Combination HIV prevention for female sex workers: what is the evidence? Lancet. 2015;385:72–87.

    PubMed  Google Scholar 

  8. Davey C, Dirawo J, Mushati P, Magutshwa S, Hargreaves JR, Cowan FM. Mobility and sex work: why, where, when? A typology of female-sex-worker mobility in Zimbabwe. Soc Sci Med. 2019;220:322–30.

    PubMed  Google Scholar 

  9. Van Blerk L. AIDS, mobility and commercial sex in Ethiopia: implications for policy. AIDS Care. 2007;19:79–86.

    PubMed  Google Scholar 

  10. Scambler G, Paoli F. Health work, female sex workers and HIV/AIDS: global and local dimensions of stigma and deviance as barriers to effective interventions. Soc Sci Med. 2008;66:1848–62.

    PubMed  Google Scholar 

  11. Ham J, Gerard A. Strategic in/visibility: does agency make sex workers invisible? Criminol Crim Justice. 2014;14:298–313.

    Google Scholar 

  12. Deering KN, Amin A, Shoveller J, Nesbitt A, Garcia-Moreno C, Duff P, et al. A systematic review of the correlates of violence against sex workers. Am J Public Health. 2014;104:e42–54.

    PubMed  PubMed Central  Google Scholar 

  13. Taylor BS, Garduño LS, Reyes EV, Valiño R, Rojas R, Donastorg Y, et al. HIV care for geographically mobile populations. Mount Sinai J Med. 2011;78:342–51.

    Google Scholar 

  14. Goldenberg SM, Montaner J, Duff P, Nguyen P, Dobrer S, Guillemi S, et al. Structural barriers to antiretroviral therapy among sex workers living with HIV: findings of a longitudinal study in Vancouver, Canada. Aids Behav. 2016;20(5):977–86.

    PubMed  PubMed Central  Google Scholar 

  15. Davey C, Cowan F, Hargreaves J. The effect of mobility on HIV-related healthcare access and use for female sex workers: a systematic review. Soc Sci Med. 2018;211:261–73.

    PubMed  Google Scholar 

  16. Goldenberg SM, Chettiar J, Nguyen P, Dobrer S, Montaner J, Shannon K. Complexities of short-term mobility for sex work and migration among sex workers: violence and sexual risks, barriers to care, and enhanced social and economic opportunities. J Urban Health. 2014;91:736–51.

    PubMed  PubMed Central  Google Scholar 

  17. Armstrong G, Medhi GK, Kermode M, Mahanta J, Goswami P, Paranjape RS. Exposure to HIV prevention programmes associated with improved condom use and uptake of HIV testing by female sex workers in Nagaland, north-east India. BMC Public Health. 2013;13:476.

    PubMed  PubMed Central  Google Scholar 

  18. Morales-Miranda S, Jacobson JO, Loya-Montiel I, Mendizabal-Burastero R, Galindo-Arandi C, Flores C, et al. Scale-up, retention and HIV/STI prevalence trends among female sex workers attending VICITS clinics in Guatemala. PLoS ONE. 2014;9(8):e103455.

    PubMed  PubMed Central  Google Scholar 

  19. Bach Xuan T, Long Thanh N, Nhung Phuong N, Huong Thu Thi P. HIV voluntary testing and perceived risk among female sex workers in the Mekong Delta region of Vietnam. Glob Health Action. 2013;6:20690.

    Google Scholar 

  20. Schwartz S, Lambert A, Phaswana-Mafuya N, Kose Z, McIngana M, Holland C, et al. Engagement in the HIV care cascade and barriers to antiretroviral therapy uptake among female sex workers in Port Elizabeth, South Africa: findings from a respondent-driven sampling study. Sex Transm Infect. 2017;93:290–6.

    PubMed  Google Scholar 

  21. Zulliger R, Barrington C, Donastorg Y, Perez M, Kerrigan D. High drop-off along the HIV care continuum and ART interruption among female sex workers in the Dominican Republic. J Acquir Immune Defic Syndr. 2015;69:216–22.

    PubMed  Google Scholar 

  22. Duff P, Goldenberg S, Deering K, Montaner J, Nguyen P, Dobrer S, et al. Barriers to viral suppression among female sex workers: role of structural and intimate partner dynamics. J Acquir Immune Defic Syndr. 2016;73:83–90.

    PubMed  PubMed Central  Google Scholar 

  23. Donastorg Y, Barrington C, Perez M, Kerrigan D. Abriendo Puertas: baseline findings from an integrated intervention to promote prevention, treatment and care among FSW living with HIV in the Dominican Republic. PLoS ONE. 2014;9:e88157.

    PubMed  PubMed Central  Google Scholar 

  24. Joint United Nations Programme on HIV/AIDS. Population mobility and AIDS: UNAIDS technical update. Geneva: UNAIDS; 2001.

    Google Scholar 

  25. Platt L, Grenfell P, Fletcher A, Sorhaindo A, Jolley E, Rhodes T, et al. Systematic review examining differences in HIV, sexually transmitted infections and health-related harms between migrant and non-migrant female sex workers. Sex Transm Infect. 2013;89:311–9.

    PubMed  Google Scholar 

  26. Mountain E, Pickles M, Mishra S, Vickerman P, Alary M, Boily MC. The HIV care cascade and antiretroviral therapy in female sex workers: implications for HIV prevention. Expert Rev Anti-Infect Therapy. 2014;12:1203–19.

    CAS  Google Scholar 

  27. Garnett GP, Hallett TB, Takaruza A, Hargreaves J, Rhead R, Warren M, et al. Providing a conceptual framework for HIV prevention cascades and assessing feasibility of empirical measurement with data from east Zimbabwe: a case study. Lancet HIV. 2016;3:e297–306.

    PubMed  PubMed Central  Google Scholar 

  28. World Health Organization. Prevention and treatment of HIV and other sexually transmitted infections for sex workers in low-and middle-income countries: recommendations for a public health approach. Geneva: World Health Organization; 2012.

    Google Scholar 

  29. Moore L, Chersich MF, Steen R, Reza-Paul S, Dhana A, Vuylsteke B, et al. Community empowerment and involvement of female sex workers in targeted sexual and reproductive health interventions in Africa: a systematic review. Glob Health. 2014;10:47.

    Google Scholar 

  30. Joint United Nations Programme on HIV/AIDS and Joint United Nations Programme on HIV/Aids and others. 90-90-90: an ambitious treatment target to help end the AIDS epidemic. Geneva: UNAIDS; 2014.

  31. Camlin CS, Cassels S, Seeley J. Bringing population mobility into focus to achieve HIV prevention goals. J Int AIDS Soc. 2018. https://doi.org/10.1002/jia2.25136.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Hargreaves JR, Fearon E, Davey C, Phillips A, Cambiano V, Cowan FM. Statistical design and analysis plan for an impact evaluation of an HIV treatment and prevention intervention for female sex workers in Zimbabwe: a study protocol for a cluster randomised controlled trial. Trials. 2016;17:6.

    PubMed  PubMed Central  Google Scholar 

  33. Heckathorn DD. Respondent-driven sampling: a new approach to the study of hidden populations. Soc Probl. 1997;44:174–99.

    Google Scholar 

  34. World Health Organization. Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection: recommendations for a public health approach. Geneva: World Health Organization; 2016.

    Google Scholar 

  35. Chibanda D, Verhey R, Gibson LJ, Munetsi E, Machando D, Rusakaniko S, et al. Validation of screening tools for depression and anxiety disorders in a primary care population with high HIV prevalence in Zimbabwe. J Affect Disord. 2016;198:50–5.

    PubMed  Google Scholar 

  36. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159:702–6.

    PubMed  Google Scholar 

  37. Tufte ER. Beautiful evidence. Cheshire: Graphics Press; 2006.

    Google Scholar 

  38. Volz E, Heckathorn DD. Probability based estimation theory for respondent driven sampling. J Off Stat. 2008;24:79–97.

    Google Scholar 

  39. McLaughlin KR, Handcock MS, Johnston LG, Japuki X, Gexha-Bunjaku D, Deva E, et al. Inference for the visibility distribution for respondent-driven sampling. Alexandria: American Statistical Association; 2015.

    Google Scholar 

  40. Lumley T. Analysis of complex survey samples. J Stat Softw. 2004;9:1–19.

    Google Scholar 

  41. R Core Team. R: A language and environment for statistical computing [Internet]. Vienna: R Foundation for Statistical Computing; 2017. http://www.R-project.org/.

  42. Hernan MA, Hernandez-Diaz S, Werler MM, Mitchell AA. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002;155:176–84.

    PubMed  Google Scholar 

  43. Cragg JG. Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica. 1971;39(5):829–44.

    Google Scholar 

  44. Valeri L, VanderWeele TJ. Mediation analysis allowing for exposure–mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros. Psychol Methods. 2013;18:137.

    PubMed  PubMed Central  Google Scholar 

  45. Daniel R, De Stavola B, Cousens S, Vansteelandt S. Causal mediation analysis with multiple mediators. Biometrics. 2015;71:1–14.

    PubMed  CAS  Google Scholar 

  46. VanderWeele T, Vansteelandt S. Mediation analysis with multiple mediators. Epidemiol Methods. 2014;2:95–115.

    PubMed  PubMed Central  CAS  Google Scholar 

  47. Steen J, Loeys T, Moerkerke B, Vansteelandt S. Flexible mediation analysis with multiple mediators. Am J Epidemiol. 2017;186:184–93.

    PubMed  Google Scholar 

  48. Feise RJ. Do multiple outcome measures require p-value adjustment? BMC Med Res Methodol. 2002;2:8.

    PubMed  PubMed Central  Google Scholar 

  49. Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21.

    PubMed  PubMed Central  Google Scholar 

  50. Williamson T, Eliasziw M, Fick GH. Log-binomial models: exploring failed convergence. Emerg Themes Epidemiol. 2013;10:14.

    PubMed  PubMed Central  Google Scholar 

  51. Petersen MR, Deddens JA. A comparison of two methods for estimating prevalence ratios. BMC Med Res Methodol. 2008;8:9.

    PubMed  PubMed Central  Google Scholar 

  52. Altman DG, Royston P. The cost of dichotomising continuous variables. BMJ. 2006;332:1080.

    PubMed  PubMed Central  Google Scholar 

  53. Razum O, Zeeb H, Rohrmann S. The “healthy migrant effect”–not merely a fallacy of inaccurate denominator figures. Int J Epidemiol. 2000;29:191–2.

    PubMed  CAS  Google Scholar 

  54. McMichael AJ. Standardized mortality ratios and the “healthy worker effect”: scratching beneath the surface. J Occup Med. 1976;18:165–8.

    PubMed  CAS  Google Scholar 

  55. Maxwell SE, Cole DA, Mitchell MA. Bias in cross-sectional analyses of longitudinal mediation: partial and complete mediation under an autoregressive model. Multivar Behav Res. 2011;46:816–41.

    Google Scholar 

  56. Coulter R, van Ham M, Findlay AM. Re-thinking residential mobility: linking lives through time and space. Prog Hum Geogr. 2016;40:352–74.

    PubMed  Google Scholar 

  57. Bell M, Ward G. Comparing temporary mobility with permanent migration. Tour Geogr. 2000;2:87–107.

    Google Scholar 

  58. Deane KD, Parkhurst JO, Johnston D. Linking migration, mobility and HIV. Trop Med Int Health. 2010;15:1458–63.

    PubMed  Google Scholar 

  59. Andrews JR, Wood R, Bekker L-G, Middelkoop K, Walensky RP. Projecting the benefits of antiretroviral therapy for HIV prevention: the impact of population mobility and linkage to care. J Infect Dis. 2012;206:543–51.

    PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Calum Davey.

Ethics declarations

Conflict of interest

Calum Davey was funded by a Strategic Skills pre-doctoral Fellowship from the Medical Research Council, UK. Jeffrey Dirawo, James R. Hargreaves, and Frances M. Cowan received no funding for this work. None of the authors have conflicts of interest to declare. We are very grateful to all of the women who gave their time to be interviewed and for their assistance in recruiting their peers.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 85 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Davey, C., Dirawo, J., Hargreaves, J.R. et al. Exploring the Association Between Mobility and Access to HIV Services Among Female Sex Workers in Zimbabwe. AIDS Behav 24, 746–761 (2020). https://doi.org/10.1007/s10461-019-02559-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10461-019-02559-9

Keywords

Navigation