Socioeconomic determinants of mortality in HIV: evidence from a clinical cohort in Uganda.

OBJECTIVE: To delineate the association between baseline socioeconomic status (SES) indicators and mortality and lost to follow-up (LTFU) in a cohort of HIV-infected individuals enrolled in antiretroviral therapy (ART) in urban Uganda. DESIGN: Retrospective cohort study nested in an antiretroviral clinic-based cohort. METHODS: SES indicators including education, employment status, and a standardized wealth index, and other demographic and clinical variables were assessed at baseline among ART-treated patients in a clinic-based cohort in Kampala, Uganda. Confirmed mortality (primary outcome) and LTFU (secondary outcome) were actively ascertained over a 4-year follow-up period from 2005 to 2009. RESULTS: Among 1763 adults [70.5% female; mean age, 36.2 years (SD = 8.4)] enrolled in ART, 14.4% (n = 253) were confirmed dead and 19.7% (n = 346) were LTFU at 4-year follow-up. No formal education [adjusted odds ratio (AOR) 1.76; 95% confidence interval (CI): 1.19 to 2.59], having fewer than 6 dependents (AOR 1.39; 95% CI: 1.04 to 1.86), unemployment (AOR 1.98; 95% CI: 1.48 to 2.66), and housing tenure index score (a component of the wealth index) (AOR 1.11; 95% CI: 1.00 to 1.23) were significantly associated with confirmed mortality at 4 years. SES indicators were not associated with LTFU at 4 years. CONCLUSIONS: Baseline SES indicators, including education, number of dependents, employment status, and components of a standard wealth index may indicate long-term vulnerability to mortality in patients with HIV/AIDS, despite uniform access to ART. Future studies delineating the pathways through which poverty and limited assets affect clinical outcomes may lead to more effective HIV interventions in low-resource settings.

Task-shifting to community health workers: evaluation of the performance of a peer-led model in an antiretroviral program in Uganda.

Task shifting to community health workers (CHW) has received recognition. We examined the performance of community antiretroviral therapy and tuberculosis treatment supporters (CATTS) in scaling up antiretroviral therapy (ART) in Reach Out, a community-based ART program in Uganda. Retrospective data on home visits made by CATTS were analyzed to examine the CATTS ability to perform home visits to patients based on the model's standard procedures. Qualitative interviews conducted with 347 randomly selected patients and 47 CATTS explored their satisfaction with the model. The CATTS ability to follow-up with patients worsened from patients requiring daily, weekly, monthly, to three-monthly home visits. Only 26% and 15% of them correctly home visited patients with drug side effects and a missed clinic appointment, respectively. Additionally, 83% visited stable pre-ART and ART patients (96%) more frequently than required. Six hundred eighty of the 3650 (18%) patients were lost to follow-up (LTFU) during the study period. The mean number of patients LTFU per CATTS was 40.5. Male (p = 0.005), worked for longer durations (p = 0.02), and had lower education (p = 0.005). An increased number of patients (p = 0.01) were associated with increased LTFU. Ninety-two percent of the CATTS felt the model could be improved by reducing the workload. CATTS who were HIV positive, female, not residing in the same village as their patients, more educated, married, on ART, and spent less time with the patients were rated better by their patients. The Reach-Out CHW model is labor-intensive. Triaged home visits could improve performance and allow CATTS time to focus on patients requiring more intensive follow-up.

Evaluation of the efficiency of patient flow at three HIV clinics in Uganda.

With dramatic increases in antiretroviral therapy (ART) provision, many clinics in sub-Saharan Africa are congested, but little attention has focused on the efficiency of clinics. Between April and June 2008, we conducted a time-and-motion study to assess patient flow at three HIV clinics in Uganda. Mulago HIV Clinic had 6,700 active patients, compared with 2,700 at Mbarara Municipal Council Clinic (MMC) and 2,800 at Reachout Mbuya (ROM). Mulago had six doctors and eight nurses; MMC had two doctors and two nurses, and ROM had two doctors and 12 nurses. Mulago and MMC used a doctor-led model, whereas ROM used a nurse-led model. Randomly selected patients were tracked, with data collected on time waiting and time spent with providers. Patients were categorized as new, preparing for ART, early ART, stable ART, or non-ART. Doctors indicated whether the patients they saw warranted their consultation. Data were collected on 689 patients (230 at Mulago, 229 at MMC, and 230 at ROM). Overall waiting time was longest at ROM (274 min; 209-346) and Mulago ISS (270 min; 230-336) compared with MMC (183 min; 148-233). Nurse-clinicians at ROM spent twice the time with patients compared with the doctors at Mulago. At Mulago, doctors indicated that 27% of the patients they reviewed did not need to see a doctor, compared with 45% at MMC. Task-shifting may not be efficient in terms of time. More-effective triage and longer visit intervals could improve patient flow and capacity for cost-effective scale-up.