Quality improvement as a framework for behavior change interventions in HIV-predisposed communities: a case of adolescent girls and young women in northern Uganda.

BACKGROUND: Despite the conventional approaches to HIV prevention being the bedrock for early reductions in HIV infections in Uganda, innovations that demonstrate reduction in risk to infection in vulnerable populations need to be embraced urgently. In the past 2 years, a USAID-funded project tested a quality improvement for behavior change model (QBC) to address barriers to behavioral change among adolescent girls and young women (AGYW) at high risk of HIV infection. The model comprised skills building to improve ability of AGYW to stop risky behavior; setting up and empowering community quality improvement (QI) teams to mobilize community resources to support AGYW to stop risky behavior; and service delivery camps to provide HIV prevention services and commodities to AGYW and other community members. METHODS: We recruited and followed a cohort of 409 AGYW at high risk of HIV infection over a 2-year period to examine the effect of the QBC model on risky behaviors. High-risk behavior was defined to include transactional sex, having multiple sexual partners, and non-use of condoms in high-risk sex. We documented unique experiences over the period to assess the effect of QBC model in reducing risky behavior. We analyzed for variances in risk factors over time using repeated measures ANOVA. RESULTS: There were statistically significant declines in high-risk behavior among AGYW over the QBC roll-out period (p < 0.05). Univariate analysis indicated reduction in AGYW reporting multiple sexual partners from 16.6% at baseline to 3.2% at follow up and transactional sex from 13.2 to 3.6%. The proportion of AGYW experiencing sexual and other forms of gender based violence reduced from 49% a baseline to 19.5% at follow up due to the complementary targeting of parents and partners by QI teams. CONCLUSION: The QBC model is appropriate for the context of northern Uganda because it provides a framework for the community to successfully drive HIV prevention efforts and therefore is recommended as a model for HIV prevention in high-risk groups.

Correction: Modeling the Impact of Uganda's Safe Male Circumcision Program: Implications for Age and Regional Targeting.

[This corrects the article DOI: 10.1371/journal.pone.0158693.].

Modeling the Impact of Uganda's Safe Male Circumcision Program: Implications for Age and Regional Targeting.

BACKGROUND: Uganda aims to provide safe male circumcision (SMC) to 80% of men ages 15-49 by 2016. To date, only 2 million men have received SMC of the 4.2 million men required. In response to age and regional trends in SMC uptake, the country sought to re-examine its targets with respect to age and subnational region, to assess the program's progress, and to refine the implementation approach. METHODS AND FINDINGS: The Decision Makers' Program Planning Tool, Version 2.0 (DMPPT 2.0), was used in conjunction with incidence projections from the Spectrum/AIDS Impact Module (AIM) to conduct this analysis. Population, births, deaths, and HIV incidence and prevalence were used to populate the model. Baseline male circumcision prevalence was derived from the 2011 AIDS Indicator Survey. Uganda can achieve the most immediate impact on HIV incidence by circumcising men ages 20-34. This group will also require the fewest circumcisions for each HIV infection averted. Focusing on men ages 10-19 will offer the greatest impact over a 15-year period, while focusing on men ages 15-34 offers the most cost-effective strategy over the same period. A regional analysis showed little variation in cost-effectiveness of scaling up SMC across eight regions. Scale-up is cost-saving in all regions. There is geographic variability in program progress, highlighting two regions with low baseline rates of circumcision where additional efforts will be needed. CONCLUSION: Focusing SMC efforts on specific age groups and regions may help to accelerate Uganda's SMC program progress. Policy makers in Uganda have already used model outputs in planning efforts, proposing males ages 10-34 as a priority group for SMC in the 2014 application to the Global Fund's new funding model. As scale-up continues, the country should also consider a greater effort to expand SMC in regions with low MC prevalence.