Using community health workers to improve clinical outcomes among people living with HIV: a randomized controlled trial

AIDS Behav. 2013 Nov;17(9):2927-34. doi: 10.1007/s10461-013-0440-1.

Abstract

AIDS-related mortality remains a leading cause of preventable death among African-Americans. We sought to determine if community health workers could improve clinical outcomes among vulnerable African-Americans living with HIV in Miami, Florida. We recruited 91 medically indigent persons with HIV viral loads ≥1,000 and/or a CD4 cell count ≤350. Patients were randomized to a community health worker (CHW) intervention or control group. Viral load and CD4 cell count data were abstracted from electronic medical records. At 12 months, the mean VL in the intervention group was log 0.9 copies/μL lower than the control group. The CD4 counts were not significantly different among the groups. Compared to the control group, patients randomized to CHWs experienced statistically significant improvements in HIV viral load. Larger multi-site studies of longer duration are needed to determine whether CHWs should be incorporated into standard treatment models for vulnerable populations living with HIV.

Publication types

  • Comparative Study
  • Randomized Controlled Trial

MeSH terms

  • Adolescent
  • Adult
  • Antiretroviral Therapy, Highly Active*
  • Black or African American* / psychology
  • CD4 Lymphocyte Count
  • Community Health Workers / standards
  • Community Health Workers / statistics & numerical data*
  • Female
  • Florida / epidemiology
  • Follow-Up Studies
  • HIV Infections / epidemiology
  • HIV Infections / psychology
  • HIV Infections / therapy*
  • Home Care Services* / organization & administration
  • Humans
  • Male
  • Medication Adherence / psychology
  • Medication Adherence / statistics & numerical data*
  • Middle Aged
  • Patient Acceptance of Health Care / psychology
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Patient Satisfaction
  • Program Evaluation
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Treatment Outcome
  • Viral Load