1. Optimizing HIV case identification: investigating client characteristics predictive of HIV positivity from provider-initiated testing (PITC) in central Kenya
- Author
-
Rachael Muinde, Kevin Owuor, Jones Mutiso, Jonathan Mwangi, and Paul Wekesa
- Subjects
HIV testing ,Positivity ,Provider Initiated Testing ,Client characteristics ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Routine program data indicates positivity rates under 2% from HIV testing services (HTS) at sites supported by Centre for Health Solutions-Kenya in Central Kenya. Achieving the UNAIDS 95:95:95 goals requires continuous identification of people living with HIV in an environment of diminishing resources. We assessed non-clinical and clinical characteristics of persons who tested HIV-positive aimed at improving the process of HTS through Provider-Initiated HIV Testing & Counseling (PITC). Methods We conducted a retrospective analysis of routine PITC program data collected between October 2018 and September 2019 from six health facilities located in three counties in central Kenya. Stratification was based on county and facility volume. A multivariable logistic regression model, clustered adjusted for facility using robust standard errors, was used to determine predictors of a positive HIV result. Results The total sample was 80,693 with an overall positivity rate of 1.2%. Most, (65.5%), were female and 6.1% were
- Published
- 2023
- Full Text
- View/download PDF