255
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Medication Beliefs, HIV-Related Stigmatization, and Adherence to Antiretroviral Therapy: An Examination of Alternative Models

ORCID Icon, , , &
Pages 40-50 | Received 12 Apr 2019, Accepted 04 Jun 2019, Published online: 10 Jul 2019

References

  • Center for Disease Control and Prevention. Estimated HIV Incidence and Prevalence in the United States, 2010–2016. HIV Surveillance Supplemental Report. 2019;24(1).
  • Bezabhe WM, Chalmers L, Bereznicki LR, et al. Adherence to antiretroviral therapy and virologic failure: a meta-analysis. Medicine. 2016;95(15):e3361. doi:10.1097/MD.0000000000003361.
  • Gunthard HF, Saag MS, Benson CA, et al. Antiretroviral drugs for treatment and prevention of hiv infection in adults: 2016 recommendations of the International Antiviral Society-USA panel. J Am Med Assoc. 2016;316(2):191–210. doi:10.1001/jama.2016.8900.
  • Devereux HL, Youle M, Johnson MA, et al. Rapid decline in detectability of HIV-1 drug resistance mutations after stopping therapy. AIDS. 1999;13(18):123–127. doi:10.1097/00002030-199912240-00001.
  • Durant J, Clevenbergh P, Halfon P, et al. Drug-resistance genotyping in HIV-1 therapy: the VIRADAPT randomised controlled trial. Lancet. 1999;353(9171):2195–2199. doi:10.1016/S0140-6736(98)12291-2.
  • Kalichman SC, Kalichman MO, Cherry C. Forget about forgetting: structural barriers and severe non-adherence to antiretroviral therapy. AIDS Care. 2017;29(4):418–422. doi:10.1080/09540121.2016.1220478.
  • Langebeek N, Gisolf EH, Reiss P, et al. Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med. 2014;12:142. doi:10.1186/PREACCEPT-1453408941291432.
  • Tapp C, Milloy MJ, Kerr T, et al. Female gender predicts lower access and adherence to antiretroviral therapy in a setting of free healthcare. BMC Infect Dis. 2011;11:86.
  • Kalichman SC, Kalichman MO. HIV-related stress and life chaos mediate the association between poverty and medication adherence among people living with HIV/AIDS. J Clin Psychol Med Settings. 2016;23(4):420–430. doi:10.1007/s10880-016-9481-8.
  • Weiser SD, Frongillo EA, Ragland K, et al. Food insecurity is associated with incomplete HIV RNA suppression among homeless and marginally housed HIV-infected individuals in San Francisco. J Gen Intern Med. 2009;24(1):14–20. doi:10.1007/s11606-008-0824-5.
  • De Ridder DTD, De Wit JBF. Self-regulation in health behavior: concepts, theories, and central issues. In: de Ridder DTD, de Wit JBF, eds. Self-Regulation in Health Behavior. England: John Wiley & Sons, Ltd.; 2006:1–23.
  • Horne R. Representations of medication and treatment: advances in theory and measurement. In: Petrie KJ, Weinman JA, eds. Perceptions of health and illness: current research and applications. Amsterdam, The Netherlands: Harwood Academic; 1997:155–188.
  • Horne R. Treatment perceptions and self-regulation. In: Cameron LD, Leventhal H, eds. The self-regulation of health and illness behaviour. London, UK: Routledge; 2003:138–153.
  • Horne R, Buick D, Fisher M, et al. Doubts about necessity and concerns about adverse effects: identifying the types of beliefs that are associated with non-adherence to HAART. Int J STD AIDS. 2004;15(1):38–44. doi:10.1258/095646204322637245.
  • Horne R, Chapman SC, Parham R, et al. Understanding patients’ adherence-related beliefs about medicines prescribed for long-term conditions: a meta-analytic review of the necessity-concerns framework. PLoS One. 2013;8(12):e80633. doi:10.1371/journal.pone.0080633.
  • Leventhal H, Meyer D, Nerenz D. The common sense representation of illness danger. In: Rachman S, ed. Medical psychology. New York, NY: Pergamon; 1980:7–30.
  • Leventhal H, Diefenbach M, Leventhal E. Illness cognition: using common sense to understand treatment adherence and affect cognition interactions. Cogn Ther Res. 1992;16(2):143–163. doi:10.1007/BF01173486.
  • Joint United Nations Programme on HIV/AIDS. Report on the global AIDS epidemic. 2008. http://www.unaids.org/sites/default/files/media_asset/jc1510_2008globalreport_en_0.pdf
  • Earnshaw VA, Chaudoir SR. From conceptualizing to measuring HIV stigma: a review of HIV stigma mechanism measures. AIDS Behav. 2009;13(6):1160–1177. doi:10.1007/s10461-009-9593-3.
  • Lowther K, Selman L, Harding R, et al. Experience of persistent psychological symptoms and perceived stigma among people with HIV on antiretroviral therapy (ART): a systematic review. Int J Nurs Stud. 2014;51(8):1171–1189. doi:10.1016/j.ijnurstu.2014.01.015.
  • Sweeney SM, Vanable PA. The association of HIV-related stigma to HIV medication adherence: a systematic review and synthesis of the literature. AIDS Behav. 2016;20(1):29–50. doi:10.1007/s10461-015-1164-1.
  • Kalichman SC, Eaton L, Kalichman MO, et al. Medication beliefs mediate the association between medical mistrust and antiretroviral adherence among African Americans living with HIV/AIDS. J Health Psychol. 2015;23:269–279.
  • Kalichman SC, Eaton L, Kalichman MO, et al. Race-based medical mistrust, medication beliefs and HIV treatment adherence: test of a mediation model in people living with HIV/AIDS. J Behav Med. 2016;39(6):1056–1064. doi:10.1007/s10865-016-9767-1.
  • Gauchet A, Tarquinio C, Fischer G. Psychosocial predictors of medication adherence among persons living with HIV. Int J Behav Med. 2007;14(3):141–150. doi:10.1007/BF03000185.
  • Peyre M, Gauchet A, Roustit M, et al. Influence of the first consultation on adherence to antiretroviral therapy for HIV-infected patients. Open AIDS J. 2016;10(1):182–189. doi:10.2174/1874613601610010182.
  • Eaton LA, Driffin DD, Kegler C, et al. Acknowledging the role of stigma and medical mistrust in engagement in routine health care among Black men who have sex with men. Am J Public Health. 2015;105(2):e75–e82. doi:10.2105/AJPH.2014.302322.
  • Naughton JD, Vanable PA. HIV stigmatization among healthcare providers: review of the evidence and implications for HIV care. In: Liamputtong P, ed. Stigma, discrimination and living with HIV/AIDS: a cross-cultural perspective. Dordrecht, The Netherlands: Springer; 2013:97–114.
  • Sweeney SM. Understanding Mediators of the Relationship Between HIV-Related Stigma and Medication Adherence Among People Living with HIV [dissertation]. Syracuse, NY: Syracuse University; 2016.
  • Earnshaw VA, Smith LR, Chaudoir SR, et al. HIV stigma mechanisms and well-being among PLWH: a test of the HIV stigma framework. AIDS Behav. 2013;17(5):1785–1795. doi:10.1007/s10461-013-0437-9.
  • Visser MJ, Kershaw T, Makin JD, et al. Development of parallel scales to measure HIV-related stigma. AIDS Behav. 2008;12(5):759–771. doi:10.1007/s10461-008-9363-7.
  • Berger BE, Ferrans CE, Lashley FR. Measuring stigma in people with HIV: psychometric assessment of the HIV stigma scale. Res Nurs Health. 2001;24(6):518–529. doi:10.1002/nur.10011.
  • Horne R, Weinman J, Hankins M. The beliefs about medicines questionnaire: the development and evaluation of a new method for assessing the cognitive representation of medication. Psychol Health. 1999;14(1):1–24. doi:10.1080/08870449908407311.
  • Simoni JM, Kurth AE, Pearson CR, et al. Self-report measures of antiretroviral therapy adherence: a review with recommendations for HIV research and clinical management. AIDS Behav. 2006;10(3):227–245. doi:10.1007/s10461-006-9078-6.
  • Muthén LK, Muthén BO. Mplus user’s guide. 6th ed. Los Angeles, CA: Muthén & Muthén; 1998-2015.
  • Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr. 1974;19(6):716–723. doi:10.1109/TAC.1974.1100705.
  • Sclove SL. Application of model-selection criteria to some problems in multivariate-analysis. Psychometrika. 1987;52(3):333–343. doi:10.1007/BF02294360.
  • Kline RB. Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford Press; 2011.
  • Raftery AE. Bayesian model selection in structural equation models. In: Bollen KA, Long JS, eds. Testing structural equation models. Newbury Park, CA: Sage; 1993:163–180.
  • Hayes AF. Introduction to mediation, moderation and conditional process analysis: a regression-based approach. New York, NY: Guilford Press; 2013.
  • Arnsten JH, Demas PA, Farzadegan H, et al. Antiretroviral therapy adherence and viral suppression in HIV-infected drug users: comparison of self-report and electronic monitoring. Clin Infect Dis. 2001;33(8):1417–1423. doi:10.1086/323201.
  • Wagner G, Miller LG. Is the influence of social desirability on patients’ self-reported adherence overrated? J Acquir Immune Defic Syndr. 2004;35(2):203–204. doi:10.1097/00126334-200402010-00016.
  • Hickey MD, Salmen CR, Tessler RA, et al. Antiretroviral concentrations in small hair samples as a feasible marker of adherence in rural Kenya. J Acquir Immune Defic Syndr. 2014;66(3):311–315. doi:10.1097/QAI.0000000000000154.
  • Gandhi M, Ameli N, Bacchetti P, et al. Atazanavir concentration in hair is the strongest predictor of outcomes on antiretroviral therapy. Clin Infect Dis. 2011;52(10):1267–1275. doi:10.1093/cid/cir131.
  • Magnus M, Herwehe J, Wilbright W, et al. The validity of clinic-based samples in approximating out-of-care HIV-infected populations. AIDS Care. 2014;26(3):367–371. doi:10.1080/09540121.2013.824537.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.