Samah Hayek1, Patricia M Dietz, Michelle Van Handel, Jun Zhang, Ram K Shrestha, Ya-Lin A Huang, Choi Wan, Jonathan Mermin. 1. Program Evaluation Branch (Drs Hayek, Dietz, Zhang, and Wan and Ms Van Handel) and Quantitative Sciences and Data Management Branch (Drs Shrestha and Huang), Division of HIV/AIDS Prevention, and Office of the Director (Dr Mermin), National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Abstract
OBJECTIVES: To assess the association between state per capita allocations of Centers for Disease Control and Prevention (CDC) funding for HIV testing and the percentage of persons tested for HIV. SETTING AND PARTICIPANTS: We examined data from 2 sources: 2011 Behavioral Risk Factor Surveillance System and 2010-2011 State HIV Budget Allocations Reports. Behavioral Risk Factor Surveillance System data were used to estimate the percentage of persons aged 18 to 64 years who had reported testing for HIV in the last 2 years in the United States by state. State HIV Budget Allocations Reports were used to calculate the state mean annual per capita allocations for CDC-funded HIV testing reported by state and local health departments in the United States. DESIGN: The association between the state fixed-effect per capita allocations for CDC-funded HIV testing and self-reported HIV testing in the last 2 years among persons aged 18 to 64 years was assessed with a hierarchical logistic regression model adjusting for individual-level characteristics. MAIN OUTCOME: The percentage of persons tested for HIV in the last 2 years. RESULTS: In 2011, 18.7% (95% confidence interval = 18.4-19.0) of persons reported being tested for HIV in last 2 years (state range, 9.7%-28.2%). During 2010-2011, the state mean annual per capita allocation for CDC-funded HIV testing was $0.34 (state range, $0.04-$1.04). A $0.30 increase in per capita allocation for CDC-funded HIV testing was associated with an increase of 2.4 percentage points (14.0% vs 16.4%) in the percentage of persons tested for HIV per state. CONCLUSIONS: Providing HIV testing resources to health departments was associated with an increased percentage of state residents tested for HIV.
OBJECTIVES: To assess the association between state per capita allocations of Centers for Disease Control and Prevention (CDC) funding for HIV testing and the percentage of persons tested for HIV. SETTING AND PARTICIPANTS: We examined data from 2 sources: 2011 Behavioral Risk Factor Surveillance System and 2010-2011 State HIV Budget Allocations Reports. Behavioral Risk Factor Surveillance System data were used to estimate the percentage of persons aged 18 to 64 years who had reported testing for HIV in the last 2 years in the United States by state. State HIV Budget Allocations Reports were used to calculate the state mean annual per capita allocations for CDC-funded HIV testing reported by state and local health departments in the United States. DESIGN: The association between the state fixed-effect per capita allocations for CDC-funded HIV testing and self-reported HIV testing in the last 2 years among persons aged 18 to 64 years was assessed with a hierarchical logistic regression model adjusting for individual-level characteristics. MAIN OUTCOME: The percentage of persons tested for HIV in the last 2 years. RESULTS: In 2011, 18.7% (95% confidence interval = 18.4-19.0) of persons reported being tested for HIV in last 2 years (state range, 9.7%-28.2%). During 2010-2011, the state mean annual per capita allocation for CDC-funded HIV testing was $0.34 (state range, $0.04-$1.04). A $0.30 increase in per capita allocation for CDC-funded HIV testing was associated with an increase of 2.4 percentage points (14.0% vs 16.4%) in the percentage of persons tested for HIV per state. CONCLUSIONS: Providing HIV testing resources to health departments was associated with an increased percentage of state residents tested for HIV.
Authors: Benedict I Truman; Ramal Moonesinghe; Yolanda T Brown; Man-Huei Chang; Jonathan H Mermin; Hazel D Dean Journal: Public Health Rep Date: 2020 Jul/Aug Impact factor: 2.792