Skip to main content
Log in

Barriers to HIV Medication Adherence as a Function of Regimen Simplification

  • Original Article
  • Published:
Annals of Behavioral Medicine

Abstract

Background

Barriers to HIV medication adherence may differ by levels of dosing schedules.

Purpose

The current study examined adherence barriers associated with medication regimen complexity and simplification.

Methods

A total of 755 people living with HIV currently taking anti-retroviral therapy were recruited from community services in Atlanta, Georgia. Participants completed audio-computer-assisted self-interviews that assessed demographic and behavioral characteristics, provided their HIV viral load obtained from their health care provider, and completed unannounced phone-based pill counts to monitor medication adherence over 1 month.

Results

Participants taking a single-tablet regimen (STR) were more likely to be adherent than those taking multi-tablets in a single-dose regimen (single-dose MTR) and those taking multi-tablets in a multi-dose regimen (multi-dose MTR), with no difference between the latter two. Regarding barriers to adherence, individuals taking STR were least likely to report scheduling issues and confusion as reasons for missing doses, but they were equally likely to report multiple lifestyle and logistical barriers to adherence.

Conclusions

Adherence interventions may need tailoring to address barriers that are specific to dosing regimens.

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.

Similar content being viewed by others

References

  1. Antiretroviral Therapy Cohort, C., Life expectancy of individuals on combination antiretroviral therapy in high-income countries: a collaborative analysis of 14 cohort studies. Lancet. 2008; 372(9635): 293–9.

    Article  Google Scholar 

  2. Harrison, K.M., R. Song, and X. Zhang, Life expectancy after HIV diagnosis based on national HIV surveillance data from 25 states, United States. J Acquir Immune Defic Syndr 2010; 53(1): 124–30.

    Article  PubMed  Google Scholar 

  3. Cohen, M.S., et al., Prevention of HIV-1 Infection with Early Antiretroviral Therapy. N Engl J Med 2011; 365(6): 493–505.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Bangsberg, D.R., et al., Non-adherence to highly active antiretroviral therapy predicts progression to AIDS. AIDS 2001; 15(9):1181–3.

    Article  CAS  PubMed  Google Scholar 

  5. Nachega, J.B., et al., Adherence to nonnucleoside reverse transcriptase inhibitor-based HIV therapy and virologic outcomes. Ann Intern Med 2007;146(8): 564–73.

    Article  PubMed  Google Scholar 

  6. Liu, H., et al., Repeated measures longitudinal analyses of HIV virologic response as a function of percent adherence, dose timing, genotypic sensitivity, and other factors. J Acquir Immune Defic Syndr 2006;41(3): 315–22.

    Article  PubMed  Google Scholar 

  7. Parruti, G., et al., Long-term adherence to first-line highly active antiretroviral therapy in a hospital-based cohort: predictors and impact on virologic response and relapse. AIDS Patient Care STDs 2006; 20(1): 48–56.

    Article  CAS  PubMed  Google Scholar 

  8. Bangsberg, D.R., Preventing HIV antiretroviral resistance through better monitoring of treatment adherence. J Infect Dis 2008; 197 Suppl 3: S272–8.

    Article  PubMed  Google Scholar 

  9. Nachega, J.B., et al., Treatment simplification in HIV-infected adults as a strategy to prevent toxicity, improve adherence, quality of life and decrease healthcare costs. Patient Prefer Adherence. 2011; 5: 357–67.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Gallant, J.E., et al., Tenofovir DF, emtricitabine, and efavirenz vs. zidovudine, lamivudine, and efavirenz for HIV. N Engl J Med 2006; 354(3): 251–60.

    Article  CAS  PubMed  Google Scholar 

  11. Cohen, C.J., et al., Rilpivirine versus efavirenz with two background nucleoside or nucleotide reverse transcriptase inhibitors in treatment-naive adults infected with HIV-1 (THRIVE): a phase 3, randomised, non-inferiority trial. Lancet 2011; 378(9787): 229–37.

    Article  CAS  PubMed  Google Scholar 

  12. Sax, P.E., et al., Co-formulated elvitegravir, cobicistat, emtricitabine, and tenofovir versus co-formulated efavirenz, emtricitabine, and tenofovir for initial treatment of HIV-1 infection: a randomised, double-blind, phase 3 trial, analysis of results after 48 weeks. Lancet 2012; 379(9835):2439–48.

    Article  CAS  PubMed  Google Scholar 

  13. Parienti, J.J., et al., Better adherence with once-daily antiretroviral regimens: a meta-analysis. Clin Infect Dis 2009; 48(4): 484–8.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nachega, J.B., et al., Lower Pill Burden and Once-Daily Antiretroviral Treatment Regimens for HIV infection: A Meta-Analysis of Randomized Controlled Trials. Clin Infect Dis 2014; 58(9):1297–307.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Cooper, V., et al., Beliefs about antiretroviral therapy, treatment adherence and quality of life in a 48-week randomised study of continuation of zidovudine/lamivudine or switch to tenofovir DF/emtricitabine, each with efavirenz. AIDS Care 2011; 23(6): 705–13.

    Article  PubMed  Google Scholar 

  16. Bangsberg, D.R., et al., A single tablet regimen is associated with higher adherence and viral suppression than multiple tablet regimens in HIV+ homeless and marginally housed people. AIDS 2010; 24(18): 2835–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Hanna, D.B., et al., Increase in single-tablet regimen use and associated improvements in adherence-related outcomes in HIV-infected women. J Acquir Immune Defic Syndr 2014; 65(5): 587–96.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Cohen, C.J., J.L. Meyers, and K.L. Davis, Association between daily antiretroviral pill burden and treatment adherence, hospitalisation risk, and other healthcare utilisation and costs in a US medicaid population with HIV. BMJ Open. 2013; 3(8).

  19. Rao, G.A., et al., Impact of Highly Active Antiretroviral Therapy Regimen on Adherence and Risk of Hospitalization in Veterans with HIV/AIDS. Interscience Conference on Antimicrobial Agents and Chemotherapy. Denver, Colorado, USA; 2013.

  20. DeJesus, E., et al., Impact of switching virologically suppressed, HIV-1-infected patients from twice-daily fixed-dose zidovudine/lamivudine to once-daily fixed-dose tenofovir disoproxil fumarate/emtricitabine. HIV Clin Trials 2008; 9(2): 103–14.

    Article  PubMed  Google Scholar 

  21. Airoldi, M., et al., One-pill once-a-day HAART: a simplification strategy that improves adherence and quality of life of HIV-infected subjects. Patient Prefer Adherence 2010; 4:115–25.

    PubMed  PubMed Central  Google Scholar 

  22. Dejesus, E., et al., Simplification of antiretroviral therapy to a single-tablet regimen consisting of efavirenz, emtricitabine, and tenofovir disoproxil fumarate versus unmodified antiretroviral therapy in virologically suppressed HIV-1-infected patients. J Acquir Immune Defic Syndr 2009; 51(2):163–74.

    Article  CAS  PubMed  Google Scholar 

  23. Hodder, S.L., et al., Patient-reported outcomes in virologically suppressed, HIV-1-infected subjects after switching to a simplified, single-tablet regimen of efavirenz, emtricitabine, and tenofovir. AIDS Patient Care STDs 2010; 24(2): 87–96.

    Article  PubMed  Google Scholar 

  24. Buscher, A., et al., Impact of antiretroviral dosing frequency and pill burden on adherence among newly diagnosed, antiretroviral-naive HIV patients. Int J STD AIDS 2012; 23(5):351–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Engsig, F., et al., Virological Response in Patients, Who for Economic Reasons Were Changed from Atripla to a Multi-tablet cART Regimen 20th Conference on Retroviruses and Opportunistic Infections. Atlanta, GA, USA; 2013.

  26. Tennant, S.J., et al., Adherence among rural HIV-infected patients in the deep south: a comparison between single-tablet and multi-tablet once-daily regimens. J Int Assoc Provid AIDS Care 2015; 14(1): 64–71.

    Article  PubMed  Google Scholar 

  27. Panel on Antiretroviral Guidelines for Adults and Adolescents. Guidelines for the use of antiretroviral agents in HIV-1-infected adults and adolescents. 2015.

  28. Hodgson, I., et al., A systematic review of individual and contextual factors affecting ART initiation, adherence, and retention for HIV-infected pregnant and postpartum women. PLoS One 2014; 9(11): e111421.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Katz, I.T., et al., Impact of HIV-related stigma on treatment adherence: systematic review and meta-synthesis. J Int AIDS Soc 2013;16(3 Suppl 2): 18640.

    PubMed  PubMed Central  Google Scholar 

  30. Hendershot, C.S., et al., 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 

  31. Gribble, J.N., et al., The impact of T-ACASI interviewing on reported drug use among men who have sex with men. Subst Use Misuse 2000; 35(6–8):869–90.

    Article  CAS  PubMed  Google Scholar 

  32. Morrison-Beedy, D., M.P. Carey, and X. Tu, Accuracy of audio computer-assisted self-interviewing (ACASI) and self-administered questionnaires for the assessment of sexual behavior. AIDS Behav 2006; 10(5): 541–52.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Kalichman, S.C., D. Rompa, and M. Cage, Reliability and validity of self-reported CD4 lymphocyte count and viral load test results in people living with HIV/AIDS. Int J STD AIDS, 2000. 11(9): 579–85.

    Article  CAS  PubMed  Google Scholar 

  34. Radloff, L.S., The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas, 1977. 1(3): p. 385–401.

    Article  Google Scholar 

  35. Bangsberg, D.R., et al., Comparing objective measures of adherence to HIV antiretroviral therapy: electronic medication monitors and unannounced pill counts. AIDS Behav, 2001. 5: p. 275–281.

    Article  Google Scholar 

  36. Kalichman, S.C., et al., Monitoring Antiretroviral adherence by unannounced pill counts conducted by telephone: Reliability and criterion-related validity. HIV Clin Trials 2008. 9: p. 298–308.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Kalichman, S.C., et al., Adherence to antiretroviral therapy assessed by unannounced pill counts conducted by telephone. J Gen Intern Med 2007. 22: p. 1003–1006.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Bangsberg, D.R., et al., Adherence to protease inhibitors, HIV-1 viral load, and development of drug resistance in an indigent population. AIDS, 2000. 14(4): 357–66.

    Article  CAS  PubMed  Google Scholar 

  39. Catz, S.L., et al., Patterns, correlates, and barriers to medication adherence among persons prescribed new treatments for HIV disease. Health Psychol, 2000. 19(2): 124–33.

    Article  CAS  PubMed  Google Scholar 

  40. Rao, J.N.K. and A.J. Scott, The analysis of categorical data from complex sample surveys: chi-squared tests for goodness-of-fit and independence in two-way tables. J Am Stat Assoc, 1981;76: 221–230.

    Article  Google Scholar 

  41. Lewinsohn, P.M., et al., Center for Epidemiological Studies-Depression Scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychol Aging, 1997. 12: p. 277–287.

    Article  CAS  PubMed  Google Scholar 

  42. Chesney, M.A. Compliance: How Physicians Can Help. 1997 [cited 2015 November 12, 2015]; Available from: http://arv.ucsf.edu/hiv?page=md-kbr-03-02-09.

  43. Kalichman, S.C., et al., HIV treatment adherence in women living with HIV/AIDS: research based on the information-motivation-behavioral skills model of health behavior. J Assoc Nurses AIDS Care, 2001. 12(4): p. 58–67.

    Article  CAS  PubMed  Google Scholar 

  44. Zeger, S.L. and K.Y. Liang, Longitudinal data analysis for discrete and continuous outcomes. Biometrics, 1986. 42(1): p. 121–30.

    Article  CAS  PubMed  Google Scholar 

  45. Gifford, A.L., et al., Predictors of self-reported adherence and plasma HIV concentrations in patients on multidrug antiretroviral regimens. J Acquir Immune Defic Syndr, 2000. 23(5): p. 386–95.

    Article  CAS  PubMed  Google Scholar 

  46. Benjamini, Y. and Y. Hochberg, Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B Met, 1995. 57: p. 289–300.

    Google Scholar 

  47. StataCorp, Stata statistical software: release 13. 2013, College Station: StataCorp LP.

    Google Scholar 

  48. ICAAC/American Society for Microbiolog. Effects on compliance and risk of hospitalization in veterans with HIV/AIDS taking single tablet vs. multiple tablets. 2013, Press release.

  49. Antinori, A., et al., Adherence in HIV-positive patients treated with single-tablet regimens and multi-pill regimens: findings from the COMPACT study. J Intern AIDS Soc, 2012. 15(Suppl 4): p. 18098.

    Google Scholar 

  50. Langebeek, N., et al., Predictors and correlates of adherence to combination antiretroviral therapy (ART) for chronic HIV infection: a meta-analysis. BMC Med, 2014. 12: p. 142.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Senkomago, V., et al., Barriers to antiretroviral adherence in HIV-positive patients receiving free medication in Kayunga, Uganda AIDS Care, 2011. 23(10): p. 1246–53.

    Article  PubMed  Google Scholar 

  52. Weiser, S., et al., Barriers to antiretroviral adherence for patients living with HIV infection and AIDS in Botswana. J Acquir Immune Defic Syndr, 2003. 34(3): p. 281–8.

    Article  PubMed  Google Scholar 

  53. Mahajan, A.P., et al., Stigma in the HIV/AIDS epidemic: a review of the literature and recommendations for the way forward. AIDS, 2008. 22 Suppl 2: p. S67–79.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Van Tam, V., et al., "it is not that I forget, it’s just that I don’t want other people to know": barriers to and strategies for adherence to antiretroviral therapy among HIV patients in northern Vietnam. AIDS Care, 2011. 23(2): p. 139–45.

    Article  PubMed  Google Scholar 

  55. Tessema, B., et al., Magnitude and determinants of nonadherence and nonreadiness to highly active antiretroviral therapy among people living with HIV/AIDS in Northwest Ethiopia: a cross-sectional study. AIDS Res Ther, 2010. 7: p. 2.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Steward, W.T., et al., HIV-related stigma: adapting a theoretical framework for use in India. Soc Sci Med, 2008. 67(8): p. 1225–35.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Tsai, A.C., et al., Internalized stigma, social distance, and disclosure of HIV seropositivity in rural Uganda. Ann Behav Med, 2013. 46(3): p. 285–94.

    Article  PubMed  Google Scholar 

  58. Lowther, K., 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): p. 1171–89.

    Article  PubMed  Google Scholar 

  59. Nyblade, L., et al., Combating HIV stigma in health care settings: what works? J Int AIDS Soc, 2009. 12: p. 15.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Turner, B.J., et al., Barriers to adherence and hypertension control in a racially diverse representative sample of elderly primary care patients. Pharmacoepidemiol Drug Saf, 2009. 18(8): p. 672–81.

    Article  PubMed  Google Scholar 

  61. Lucas, G.M., et al., Longitudinal assessment of the effects of drug and alcohol abuse on HIV-1 treatment outcomes in an urban clinic. AIDS, 2002. 16(5): p. 767–74.

    Article  PubMed  Google Scholar 

  62. Burkhart, P.V. and E. Sabate, Adherence to long-term therapies: evidence for action. J Nurs Scholarsh, 2003. 35(3): p. 207.

    PubMed  Google Scholar 

Download references

Acknowledgments

This research was supported by National Institute of Alcohol Abuse and Alcoholism grant R01AA021471 and National Institute of Drug Abuse grant R01DA033067, Seth C. Kalichman PI.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seth C. Kalichman PhD.

Ethics declarations

Authors’ Statement of Conflict of Interest and Adherence to Ethical Standards

Authors Yiyun Chen, Kun Chen, and Seth C. Kalichman declare that they have no conflict of interest. All research procedures were approved by the University of Connecticut Institutional Review Board and adhered to the ethical guidelines for human participants research set forth by the American Psychological Association.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, Y., Chen, K. & Kalichman, S.C. Barriers to HIV Medication Adherence as a Function of Regimen Simplification. ann. behav. med. 51, 67–78 (2017). https://doi.org/10.1007/s12160-016-9827-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12160-016-9827-3

Keywords

Navigation