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Social Support and the Mediating Roles of Alcohol Use and Adherence Self-Efficacy on Antiretroviral Therapy (ART) Adherence Among ART Recipients in Gauteng, South Africa

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Abstract

We sought to (a) replicate and (b) extend (via the addition of alcohol use) Cha et al.’s cross-sectional multi-component model of ART adherence on the relationship between social support, depression, self-efficacy beliefs, and antiretroviral therapy (ART) adherence, among HIV patients in Tshwane, South Africa. Using purposive sampling, 304 male and female ART recipients were recruited. ART adherence was assessed using three manifest indicators: total adherence ratio, the CASE adherence index and 1-month adherence measure. Data were analysed using structural equation modeling. In our replicated model, social support had both direct and indirect relationships with ART adherence, and inclusion of alcohol use improved prediction of ART adherence. Direct and indirect effects of alcohol use on ART adherence emerged: adherence self-efficacy beliefs partially mediated the latter path. Findings highlight the importance of integrating into ART promotion interventions, the reduction of alcohol use, provision of social support, and enhancement of adherence self-efficacy beliefs.

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References

  1. UNAIDS. UNAIDS report on the global AIDS epidemic 2013. Geneva: Author; 2013.

  2. Larson E, Bendavid E, Tuoane-Nkhasi M, Mbengashe T, Goldman T, Wilson M, et al. Population-level associations between antiretroviral therapy scale-up and all-cause mortality in South Africa. Int J STD AIDS. 2013;25(9):636–42.

    Article  PubMed  Google Scholar 

  3. South African Government 2016, ‘Minister Aaron Motsoaledi: Health Dept Budget Vote 2016/17’, transcript, South African Government, 10 May. http://www.gov.za/speeches/debate-health-budget-vote-national-assembly-10-may-2016-dr-aaron-motsoaledi-minister-health. Accessed 12 Oct 2016.

  4. WHO. Guideline on when to start antiretroviral therapy and on pre-exposure prophylaxis for HIV. Geneva: Author; 2015.

  5. Mills EJ, Nachega JB, Bangsberg DR, Singh S, Rachlis B, Wu P, et al. Adherence to HAART: a systematic review of developed and developing nation patient-reported barriers and facilitators. PLoS Med. 2006;3(11):e438.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Amberbir A, Woldemichael K, Getachew S, Girma B, Deribe K. Predictors of adherence to antiretroviral therapy among HIV-infected persons: a prospective study in Southwest Ethiopia. BMC Public Health. 2008;8(265).

  7. Carrieri P, Cailleton V, Le Moing V, Spire B, Dellamonica P, Bouvet E, et al. The dynamic of adherence to highly active antiretroviral therapy: results from the French National APROCO cohort. J Acquir Immune Defic Syndr. 2001;28:232–9.

    Article  CAS  PubMed  Google Scholar 

  8. Grierson J, Koelmeyer RL, Smith A, Pitts M. Adherence to antiretroviral therapy: factors independently associated with reported difficulty taking antiretroviral therapy in a national sample of HIV-positive Australians. HIV Med. 2011;12(9):562–9.

    Article  CAS  PubMed  Google Scholar 

  9. Byakika-Tusiime J, Crane J, Oyugi JH, Ragland K, Kawuma A, Musoke P, et al. Longitudinal antiretroviral adherence in HIV+ Ugandan parents and their children initiating HAART in the MTCT-Plus family treatment model: role of depression in declining adherence over time. AIDS Behav. 2009;13:82–91.

    Article  PubMed  Google Scholar 

  10. Genberg BL, Lee Y, Rogers WH, Wilson IB. Four types of barriers to adherence of antiretroviral therapy are associated with decreased adherence over time. AIDS Behav. 2015;19(1):85–92.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Azar MM, Springer SA, Meyer JP, Altice FL. A systematic review of the impact of alcohol use disorders on HIV treatment outcomes, adherence to antiretroviral therapy and health care utilization. Drug Alcohol Depend. 2010;112:178–93.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Binford MC, Kahana SY, Altice FL. A systematic review of antiretroviral adherence interventions for HIV-infected people who use drugs. Curr HIV/AIDS Rep. 2012;9:287–312.

    Article  PubMed  Google Scholar 

  13. Hendershot CS, Stoner SA, Pantalone DW, Simoni JM. Alcohol use and antiretroviral adherence: review and meta-analysis. J Acquir Immune Defic Syndr. 2009;52(2):180–202.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nakimuli-Mpungu E, Bass JK, Alexandre P, Mills EJ, Musisi S, Ram M, et al. Depression, alcohol use and adherence to antiretroviral therapy in sub-Saharan Africa: a systematic review. AIDS Behav. 2012;16(8):2101–18.

    Article  PubMed  Google Scholar 

  15. Vagenas P, Azar MM, Copenhaver MM, Springer SA, Molina PE, Altice FL. The impact of alcohol use and related disorders on the HIV continuum of care: a systematic review—alcohol and the HIV continuum of care. Curr HIV/AIDS Rep. 2015; 12(4):421–36.

  16. WHO. Global status report on alcohol and health 2014. Geneva: Author; 2014.

  17. Parry CDH, Kekwaletswe C, Shuper PA, Nkosi S, Myers BJ, Morojele N. Heavy alcohol use in patients on highly active antiretroviral therapy: what responses are needed? S Afr Med J. 2016;106(6):567–8.

    Article  Google Scholar 

  18. Huis In ‘t Veld D, Pengpid S, Colebunders R, Skaal L, Peltzer K. High-risk alcohol use and associated socio-demographic, health, and psychosocial factors in patients with HIV infection in three primary health care clinics in South Africa. Int J STD AIDS. 2016; July 21 (Epub ahead of print).

  19. Cha E, Erlen JA, Kim KH, Sereika SM, Caruthers D. Mediating roles of medication-taking self-efficacy and depressive symptoms on self-reported medication adherence in persons with HIV: a questionnaire survey. Int J Nurs Stud. 2008;45(8):1175–84.

    Article  PubMed  Google Scholar 

  20. DiIorio C, McCarty F, DePadilla L, Resnicow K, Holstad MM, Yeager K, et al. Adherence to antoretroviral medication regimens: a test of a psychosocial model. AIDS Behav. 2009;13(1):10–22.

    Article  PubMed  Google Scholar 

  21. Simoni JM, Frick PA, Huang B. A longitudinal evaluation of a social support model of medication adherence among HIV-positive men and women on antiretroviral therapy. Health Psychol. 2006;25(1):74–81.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Woodward EN, Pantalone DW. The role of social support and negative affect in medication adherence for HIV-infected men who have sex with men. J Assoc Nurses AIDS Care. 2012;23(5): 388-96.

  23. Ware NC, Idoko J, Kaaya S, Biraro IA, Wyatt MA, Oche Agbaji O, et al. Explaining adherence success in sub-Saharan Africa: an ethnographic study. PLoS Med. 2009;6(1):e1000011.

    Article  PubMed Central  Google Scholar 

  24. O’Laughlin KN, Wyatt MA, Kaaya S, Bangsberg DR, Ware NC. How treatment partners help: social analysis of an African adherence support intervention. AIDS Behav. 2012;16(5):1308–15.

    Article  PubMed  Google Scholar 

  25. Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32:705–14.

    Article  CAS  PubMed  Google Scholar 

  26. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401.

    Article  Google Scholar 

  27. Hedayati SS, Bosworth HB, Kuchibhatla M, Kimmel PL, Szczech LA. The predictive value of self report scales compared with physician diagnosis of depression in hemodialysis patients. Kidney Int. 2006;69:1662–8.

    Article  CAS  PubMed  Google Scholar 

  28. Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M. Development of the alcohol use disorders screening test (AUDIT). WHO collaborative project on early detection of persons with harmful alcohol consumption. II. Addiction. 1993;88:791–804.

  29. Johnson MO, Neilands TB, Dilworth S, Morin SF, Remien RH, Chesney MA. The role of self-efficacy in HIV treatment adherence: validation of the HIV treatment adherence self-efficacy scale (HIV-ASES). J Behav Med. 2007;30(5):359–70.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Chesney MA, Ickovics JR, Chambers DB, Gifford AL, Neidig J, Zwickl B, et al. Self-reported adherence to antiretroviral medications among participants in HIV clinical trials: the AACTG adherence instruments. Patient care committee & adherence working group of the outcomes Committee of the adult AIDS clinical trials group (AACTG). AIDS Care. 2000;12:255–66.

    Article  CAS  PubMed  Google Scholar 

  31. Reynolds NR, Sun J, Nagaraja HN, Gifford AL, Wu AW, Chesney MA. Optimizing measurement of adherence of self-reported adherence with ACTG adherence questionnaire: a cross-protocol analysis. J Acquir Immune Defic Syndr. 1997;46(4):402–9.

    Article  Google Scholar 

  32. Mannheimer SB, Mukherjee R, Hirschhorn LR, Dougherty J, Celano SA, Ciccarone D, et al. The case adherence index: a novel method for measuring adherence to antiretroviral therapy. AIDS Care. 2006;18(7):853–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Lu M, Safren SA, Skolnik PR, Rogers WH, Coady W, Hardy H, et al. Optimal recall period and response task for self-reported HIV medication adherence. AIDS Behav. 2008;12:86–94.

    Article  PubMed  Google Scholar 

  34. Muthén LK, Muthén BO. Mplus User’s Guide. Los Angeles: Muthén & Muthén; 1998–2014.

  35. Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling. 1999;6:1–55.

    Article  Google Scholar 

  36. Tucker LR, Lewis C. A reliability coefficient for maximum likelihood factor analysis. Psychometrika. 1973;38(1):1–10.

    Article  Google Scholar 

  37. Byrne BM. Structural equation modeling with LISREL, PRELIS and SIMPLIS: basic concepts, applications and programming. Mahwah: Lawrence Erlbaum Associates; 1998.

    Google Scholar 

  38. Cai L, Maydeu-Olivares A, Coffman DL, Thissen D. Limited information goodness of fit testing of item response theory models for sparse 2p tables. Br J Math Stat Psychol. 2006;59:173–94.

    Article  PubMed  Google Scholar 

  39. Kline RB. Principles and practice of structural equation modeling. New York: Guilford Press; 1998.

    Google Scholar 

  40. Comrey AL, Lee HB. A first course in factor analysis. Hillsdale: Erlbaum; 1992.

    Google Scholar 

  41. Kalichman SC, Amaral CM, White D, Swetsze C, Kalichman MO, Cherry C, et al. Alcohol and adherence to antiretroviral medications: interactive toxicity beliefs among people living with HIV. J Assoc Nurses AIDS Care. 2012;23(6):511–20.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Kalichman SC, Amaral CM, White D, Swetsze C, Pope H, Kalichman MO, et al. Prevalence and clinical implications of interactive toxicity beliefs regarding mixing alcohol and antiretroviral therapies among people living with HIV/AIDS. AIDS Patient Care STDs. 2009;23:449–54.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kalichman SC, Grebler T, Amaral CM, McNerey M, White D, Kalichman MO, et al. Intentional non-adherence to medications among HIV positive alcohol drinkers: prospective study of interactive toxicity beliefs. J Gen Intern Med. 2013;28(3):399–405.

    Article  PubMed  Google Scholar 

  44. Rosof EJ, Punzalan JC, Parsons JT. Adherence: how alcohol gets in the way. Elements of success: an International Conference on Adherence to Antiretroviral Therapy; Dallas, TX2004.

  45. Huynh AK, Kinsler JJ, Cunningham WE, Sayles JN. The role of mental health in mediating the relationship between social support and optimal ART adherence. AIDS Care. 2013;25(9):1179–84.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Brown JL, Littlewood RA, Vanable PA. Social-cognitive correlates of antiretroviral therapy adherence among HIV-infected individuals receiving infectious disease care in a medium-sized northern U.S. city. AIDS Care. 2013;25(9):1149–58.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Kunutsor S, Walley J, Katabira E, Muchuro S, Balidawa H, Namagala E, et al. Improving clinic attendance and adherence to antiretroviral therapy through a treatment supporter intervention in Uganda: a randomized controlled trial. AIDS Behav. 2011;15(8):1795–802.

    Article  PubMed  Google Scholar 

  48. Duwell MM, Knowlton AR, Nachega JB, Efron A, Goliath R, Morroni C, et al. Patient-nominated, community-based HIV treatment supporters: patient perspectives, feasibility, challenges, and factors for success in HIV-infected South African adults. AIDS Patient Care STDs. 2013;27(2):96–102.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Nachega JB, Hislop M, Dowdy DW, Lo M, Omer SB, Regensberg L, et al. Adherence to highly active antiretroviral therapy assessed by pharmacy claims predicts survival in HIV-infected South African adults. J Acquir Immune Defic Syndr. 2006;43(1):78–84.

    Article  PubMed  Google Scholar 

  50. Scanlon ML, Vreeman RC. Current strategies for improving access and adherence to antiretroviral therapies in resource-limited settings. HIV AIDS (Auckl). 2013;5:1–17.

    PubMed  PubMed Central  Google Scholar 

  51. Hussong AM. Further refining the stress-coping model of alcohol involvement. Addict Behav. 2003;28:1515–22.

    Article  PubMed  Google Scholar 

  52. Langebeek N, Gisolf EH, Reiss P, Vervoort SC, Hafsteinsdóttir TB, Richter C, et al. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12:142.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Kekwaletswe CT, Morojele NK. Patterns and predictors of antiretroviral therapy use among alcohol drinkers at HIV clinics in Tshwane, South Africa. AIDS Care. 2014;26(Suppl 1):S78–82.

    Article  PubMed  Google Scholar 

  54. Sankar A, Wunderlich T, Neufeld S, Luborsky M. Sero-positive African American’s beliefs about alcohol and their impact on anti-retroviral adherence. AIDS Behav. 2007;11(2):195–203.

    Article  PubMed  PubMed Central  Google Scholar 

  55. MacCallum RC, Austin JT. Applications of structural equation modeling in psychological research. Annu Rev Psychol. 2000;51:201–26.

    Article  CAS  PubMed  Google Scholar 

  56. MacCallum RC, Wegener DT, Uchino BN, Fabrigar LR. The problem of equivalent models in applications of covariance structure analysis. Psychol Bull. 1993;114(1):185–99.

    Article  CAS  PubMed  Google Scholar 

  57. Dlamini PS, Wantland D, Makoae LN, Chirwa M, Kohi TW, Greeff M, et al. HIV stigma and missed medications in HIV-positive people in five African Countries. AIDS Patient Care STDs. 2009;23(5):377–87.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Rao D, Feldman BJ, Fredericksen RJ, Crane PK, Simoni JM, Kitahata MM, et al. A structural equation model of HIV-related stigma, depressive symptoms, and medication adherence. AIDS Behav. 2012;16(3):711–6.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Coetzee B, Kagee A, Vermeulen N. Structural barriers to adherence to antiretroviral therapy in a resource-constrained setting: the perspectives of health care providers. AIDS Care. 2011;23(2):146–51.

    Article  PubMed  Google Scholar 

  60. Kagee A, Remien RH, Berkman A, Hoffman S, Campos L, Swartz L. Structural barriers to ART adherence in Southern Africa: challenges and potential ways forward. Glob Public Health. 2011;6(1):83–97.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Shisana O, Rehle T, Simbayi LC, Zuma K, Jooste S, Zungu N, et al. South African National HIV prevalence, incidence and behaviour survey, 2012. Cape Town: HSRC Press; 2014.

    Google Scholar 

  62. Johnson LF. Access to antiretroviral treatment in South Africa, 2004-2011. S Afr J HIV Med. 2012;13(1):22–7.

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank Dr Hermann Swart for his statistical input, Ms Mantoa Nzeku for managing the study and Ms Naledi Kitleli and Mr Kgalabi Ngako for supervising the field staff. We are thankful to the clinic sites’ managers and health care providers and the patients for consenting to participate in this study.

Funding

This article was supported by Cooperative Agreement Number U2G/PS001137-02 from Centers for Disease Control and Prevention (CDC). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the CDC.

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Correspondence to Connie T. Kekwaletswe.

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Dr. Connie Kekwaletswe, Ms. Esmé Jordaan, Ms. Sebenzile Nkosi, and Prof. Neo K. Morojele declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

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Informed consent was obtained from all individual participants included in the study.

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Kekwaletswe, C.T., Jordaan, E., Nkosi, S. et al. Social Support and the Mediating Roles of Alcohol Use and Adherence Self-Efficacy on Antiretroviral Therapy (ART) Adherence Among ART Recipients in Gauteng, South Africa. AIDS Behav 21, 1846–1856 (2017). https://doi.org/10.1007/s10461-016-1595-3

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