Predictors of adherence to antiretroviral therapy in rural Zambia

J Acquir Immune Defic Syndr. 2008 Apr 15;47(5):615-22. doi: 10.1097/QAI.0b013e318165dc25.

Abstract

Background/objective: Antiretroviral therapy (ART) adherence levels of >or=95% optimize outcomes and minimize HIV drug resistance. As such, identifying barriers to adherence is essential. We sought to assess travel to point-of-care for ART as a potential barrier to adherence in rural Zambia, within the context of patient demographics, perceived stigma, and selected clinical indices.

Methods: We studied 424 patients receiving ART from the Macha Mission Hospital (MMH). Interviews ascertained age, gender, education, perceived stigma, nearest rural health facility (RHF), and mode/cost/time of transport for each study participant. Motorcycle odometer and global positioning system way-points measured distance from the MMH to each of the RHFs, estimating patients' home-to-MMH travel distances. Body mass index, World Health Organization HIV/AIDS stage, and pill counts were assessed from review of patients' medical and pharmacy records.

Results: At least 95% adherence was documented for 83.7% of the patients in their first months of ART. Travel-related factors did not predict adherence. Adherence was higher for those on ART for a longer time (odds ratio = 1.04 per day; P = 0.002).

Conclusions: Patients in rural Zambia can achieve adherence rates compatible with good clinical outcomes despite long travel distances. The MMH was able to provide quality HIV/AIDS care by implementing programmatic features selecting for a highly adherent population in this resource-limited setting.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Anti-HIV Agents / therapeutic use*
  • Delivery of Health Care / statistics & numerical data*
  • Female
  • HIV Infections / drug therapy*
  • Humans
  • Male
  • Middle Aged
  • Patient Compliance / statistics & numerical data*
  • Risk Factors
  • Rural Population / statistics & numerical data*
  • Social Environment
  • Surveys and Questionnaires
  • Zambia

Substances

  • Anti-HIV Agents