HIV Prevention Efforts and Incidence of HIV in Uganda.

BACKGROUND: To assess the effect of a combination strategy for prevention of human immunodeficiency virus (HIV) on the incidence of HIV infection, we analyzed the association between the incidence of HIV and the scale-up of antiretroviral therapy (ART) and medical male circumcision in Rakai, Uganda. Changes in population-level viral-load suppression and sexual behaviors were also examined. METHODS: Between 1999 and 2016, data were collected from 30 communities with the use of 12 surveys in the Rakai Community Cohort Study, an open, population-based cohort of persons 15 to 49 years of age. We assessed trends in the incidence of HIV on the basis of observed seroconversion data, participant-reported use of ART, participant-reported male circumcision, viral-load suppression, and sexual behaviors. RESULTS: In total, 33,937 study participants contributed 103,011 person-visits. A total of 17,870 persons who were initially HIV-negative were followed for 94,427 person-years; among these persons, 931 seroconversions were observed. ART was introduced in 2004, and by 2016, ART coverage was 69% (72% among women vs. 61% among men, P<0.001). HIV viral-load suppression among all HIV-positive persons increased from 42% in 2009 to 75% by 2016 (P<0.001). Male circumcision coverage increased from 15% in 1999 to 59% by 2016 (P<0.001). The percentage of adolescents 15 to 19 years of age who reported never having initiated sex (i.e., delayed sexual debut) increased from 30% in 1999 to 55% in 2016 (P<0.001). By 2016, the mean incidence of HIV infection had declined by 42% relative to the period before 2006 (i.e., before the scale-up of the combination strategy for HIV prevention) - from 1.17 cases per 100 person-years to 0.66 cases per 100 person-years (adjusted incidence rate ratio, 0.58; 95% confidence interval [CI], 0.45 to 0.76); declines were greater among men (adjusted incidence rate ratio, 0.46; 95% CI, 0.29 to 0.73) than among women (adjusted incidence rate ratio, 0.68; 95% CI, 0.50 to 0.94). CONCLUSIONS: In this longitudinal study, the incidence of HIV infection declined significantly with the scale-up of a combination strategy for HIV prevention, which provides empirical evidence that interventions for HIV prevention can have a population-level effect. However, additional efforts are needed to overcome disparities according to sex and to achieve greater reductions in the incidence of HIV infection. (Funded by the National Institute of Allergy and Infectious Diseases and others.).

Strategies for optimizing clinic efficiency in a community-based antiretroviral treatment programme in Uganda.

We address a critical aspect of antiretroviral therapy (ART) scale-up: poor clinic organization leading to long waiting times and reduced patient retention. Using a before and after study design, time and motion studies and qualitative methods we evaluated the impact of triage and longer clinic appointment intervals (triage) on clinic efficiency in a community-based program in Uganda. We compared time waiting to see and time spent with providers for various patient categories and examined patient and provider satisfaction with the triage. Overall, median time spent at the clinic reduced from 206 to 83 min. Total median time waiting to see providers for stable-ART patients reduced from 102 to 20 min while that for patients undergoing ART preparation reduced 88-37 min. Improved patient flow, patient and provider satisfaction and reduced waiting times allowed for service delivery to more patients using the same staff following the implementation of triage.

Return to normal life after AIDS as a reason for lost to follow-up in a community-based antiretroviral treatment program.

OBJECTIVES: To understand reasons for lost-to-follow-up (LTFU) from a community-based antiretroviral therapy program in Uganda. STUDY DESIGN: Retrospective cohort of patients LTFU between May 31, 2001, to May 31, 2010, was examined. A representative sample of 579 patients traced to ascertain their outcomes. METHODS: Mixed methods were used. Using "stopped care" as the hazard and "self-transferred" as the comparator, we examined using Cox proportional multivariable model risk factors for stopping care. RESULTS: Overall, 2933 of 3954 (74.0%) patients were LTFU. Of 579 of 2933 (19%) patients sampled for tracing, 32 (5.5%) were untraceable, 66(11.4 %) were dead, and 481 (83.0%) found alive. Of those found alive, 232 (40.0%) stopped care, 249 (43.0%) self-transferred, whereas 61 (12.7%) returned to care at Reach Out Mbuya HIV/AIDS Initiative. In adjusted hazards ratios, born-again religion, originating from outside Kampala, resident in Kampala for <5 years but >1 year, having school-age children who were out of school, non-HIV disclosure, CD4 counts >250 cells per cubic millimeter and pre-antiretroviral therapy were associated with increased risk of stopping care. Qualitative interviews revealed return to a normal life as a key reason for LTFU. Of 61 patients who returned to care, their median CD4 count at LTFU was higher than on return into care (401/mm³ vs. 205/mm³, P < 0.0001). CONCLUSIONS: Many patients become LTFU during the course of years, necessitating the need for effective mechanisms to identify those in need of close monitoring. Efforts should be made to improve referrals and mechanisms to track patients who transfer to different facilities. Additionally, tracing of patients who become LTFU is required to convince them to return.

Electronic medical records and same day patient tracing improves clinic efficiency and adherence to appointments in a community based HIV/AIDS care program, in Uganda.

Patients who miss clinic appointments make unscheduled visits which compromise the ability to plan for and deliver quality care. We implemented Electronic Medical Records (EMR) and same day patient tracing to minimize missed appointments in a community-based HIV clinic in Kampala. Missed, early, on-schedule appointments and waiting times were evaluated before (pre-EMR) and 6 months after implementation of EMR and patient tracing (post-EMR). Reasons for missed appointments were documented pre and post-EMR. The mean daily number of missed appointments significantly reduced from 21 pre-EMR to 8 post-EMR. The main reason for missed appointments was forgetting (37%) but reduced significantly by 30% post-EMR. Loss to follow-up (LTFU) also significantly decreased from 10.9 to 4.8% The total median waiting time to see providers significantly decreased from 291 to 94 min. Our findings suggest that EMR and same day patient tracing can significantly reduce missed appointments, and LTFU and improve clinic efficiency.