The relationship between adherence to clinic appointments and year-one mortality for newly enrolled HIV infected patients at a regional referral hospital in Western Kenya, January 2011-December 2012

AIDS Care. 2016;28(4):409-15. doi: 10.1080/09540121.2015.1109587. Epub 2015 Nov 17.

Abstract

This retrospective cohort analysis was conducted to describe the association between adherence to clinic appointments and mortality, one year after enrollment into HIV care. We examined appointment-adherence for newly enrolled patients between January 2011 and December 2012 at a regional referral hospital in western Kenya. The outcomes of interest were patient default, risk factors for repeat default, and year-one risk of death. Of 582 enrolled patients, 258 (44%) were defaulters. GEE revealed that once having been defaulters, patients were significantly more likely to repeatedly default (OR 1.4; 95% CI 1.12-1.77), especially the unemployed (OR 1.43; 95% CI 1.07-1.91), smokers (OR 2.22; 95% CI 1.31-3.76), and those with no known disclosure (OR 2.17; 95% CI 1.42-3.3). Nineteen patients (3%) died during the follow-up period. Cox proportional hazards revealed that the risk of death was significantly higher among defaulters (HR 3.12; 95% CI 1.2-8.0) and increased proportionally to the rate of patient default; HR was 4.05 (95% CI1.38-11.81) and 4.98 (95% CI 1.45-17.09) for a cumulative of 4-60 and ≥60 days elapsed between all scheduled and actual clinic appointment dates, respectively. Risk factors for repeat default suggest a need to deliver targeted adherence programs.

Keywords: Compliance; HIV/AIDS; adherence; outcome; survival.

Publication types

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

MeSH terms

  • Adult
  • Appointments and Schedules*
  • Cohort Studies
  • Female
  • Follow-Up Studies
  • HIV Infections / mortality*
  • HIV Infections / psychology
  • Humans
  • Kenya
  • Male
  • Middle Aged
  • Office Visits / statistics & numerical data*
  • Patient Compliance*
  • Proportional Hazards Models
  • Referral and Consultation
  • Retrospective Studies
  • Risk Factors
  • Tertiary Care Centers / statistics & numerical data*