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1.
PLoS One ; 15(8): e0237635, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32823269

RESUMO

BACKGROUND: The Health Resources and Services Administration's (HRSA), HIV/AIDS Bureau (HAB) is responsible for leading the nation's efforts to provide health care, medications, and support services to low-income people living with HIV through the Ryan White HIV/AIDS Program (RWHAP). The RWHAP funds and coordinates with cities, states, and local community-based organizations to deliver efficient and effective HIV care, treatment, and support services for over half a million vulnerable people living with HIV (PLWH) and their families in the United States. The annual RWHAP Services Report (RSR) is an important source of information for monitoring RWHAP's progress towards National HIV/AIDS Strategy goals. Since 2010, HRSA HAB has used the annual client-level RSR data to monitor program-related outcomes, conduct program evaluations, understand service provision, and conduct extensive analysis on disparities in viral suppression and retention in HIV care. HRSA HAB receives annual RSR submissions from RWHAP recipients and sub-recipients. However, the de-identified nature of the data limits HRSA HAB's ability to expand beyond year-to-year analyses and conduct additional analyses to evaluate outcomes for clients who are seen in multiple years. The current paper describes the development and validation of a method to link RSR client-level records across multiple data years. METHODS AND FINDINGS: Using seven RSR reporting years of data (2010 to 2016), we applied a Fellegi-Sunter (F-S) linkage model that used client demographic characteristics and their providers' geographic locations to calculate matching weights for each record pair based on estimated agreement and disagreement conditional probabilities across RSR years. To validate our methodology, we conducted an internal sample review and external validation to assess the level of accuracy of the linkage, and the extent to which the linked data set corresponds accurately to clinical records of individual clients. The linkage result yielded 70 to 80 percent year-to-year client carry-over rate over seven years of the RSR data; 96 percent linkage ratio from the internal sample review and 79.9 to 94.2 percent of provider network client carry- over rate per year from the external validation. CONCLUSIONS: This methodology addresses a gap in data analysis capabilities by allowing HRSA HAB to link RWHAP clients across reporting years. Despite weak identifying information and lack of continuity of service reporting, the longitudinal linkage improves HRSA HAB's ability to evaluate the patterns of viral suppression and monitor service utilization over time for individuals who receive services in multiple years. These analyses will support future analytic activities in understanding the impact and outcomes of the RWHAP, and will assist HRSA HAB in monitoring progress toward meeting National HIV/AIDS Strategy goals. For those looking for ways to assess health services data, the F-S unsupervised method combining weak identifying attributes and geographic proximity offers practical solutions to the problem of linking de-identified information about individuals across multiple years and improving longitudinal research.


Assuntos
Algoritmos , Atenção à Saúde/normas , Infecções por HIV/terapia , HIV/isolamento & purificação , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Indicadores de Qualidade em Assistência à Saúde/normas , United States Health Resources and Services Administration/estatística & dados numéricos , Infecções por HIV/epidemiologia , Infecções por HIV/virologia , Humanos , Estudos Longitudinais , Patient Protection and Affordable Care Act , Avaliação de Programas e Projetos de Saúde , Estados Unidos
2.
PLoS One ; 15(6): e0234652, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32569330

RESUMO

BACKGROUND: Access to and engagement in high-quality HIV medical care and treatment is essential for ending the HIV epidemic. The Health Resources and Services Administration's (HRSA) Ryan White HIV/AIDS Program (RWHAP) plays a critical role in ensuring that people living with diagnosed HIV (PLWH) are linked to and consistently engaged in high quality care and receive HIV medication in a timely manner. State variation in HIV prevalence, the proportion of PLWH served by the RWHAP, and local health care environments could influence the state-specific impact of the RWHAP. This analysis sought to measure the state-specific impact of the RWHAP on the HIV service delivery system and health outcomes for PLWH, and presents template language to communicate this impact for state planning and stakeholder engagement. METHODS AND FINDINGS: The HRSA's HIV/AIDS Bureau (HAB) and the Centers for Disease Control and Prevention's Division of HIV/AIDS Prevention (CDC DHAP) have developed a mathematical model to estimate the state-specific impact of the RWHAP. This model was parameterized using RWHAP data, HIV surveillance data, an existing CDC model of HIV transmission and disease progression, and parameters from the literature. In this study, the model was used to analyze the hypothetical scenario of an absence of the RWHAP and to calculate the projected impact of this scenario on RWHAP clients, RWHAP-funded providers, mortality, new HIV cases, and costs compared with the current state inclusive of the RWHAP. To demonstrate the results of the model, we selected two states, representing high HIV prevalence and low HIV prevalence areas. These states serve to demonstrate the functionality of the model and how state-specific results can be translated into a state-specific impact statement using template language. CONCLUSIONS: In the example states presented, the RWHAP provides HIV care, treatment, and support services to a large proportion of PLWH in each state. The absence of the RWHAP in these states could result in substantially more deaths and HIV cases than currently observed, resulting in considerable lifetime HIV care and treatment costs associated with additional HIV cases. State-specific impact statements may be valuable in the development of state-level HIV prevention and care plans or for communications with planning bodies, state health department leadership, and other stakeholders. State-specific impact statements will be available to RWHAP Part B recipients upon request from HRSA's HIV/AIDS Bureau.


Assuntos
Infecções por HIV/patologia , Modelos Teóricos , United States Health Resources and Services Administration , Infecções por HIV/economia , Infecções por HIV/epidemiologia , Custos de Cuidados de Saúde , Humanos , Prevalência , Estados Unidos
3.
Am J Public Health ; 108(S4): S246-S250, 2018 11.
Artigo em Inglês | MEDLINE | ID: mdl-30383416

RESUMO

The Health Resources and Services Administration's Ryan White HIV/AIDS Program (RWHAP) supports direct health care treatment and support services to more than 50% of all people living with diagnosed HIV in the United States. A critical goal of the RWHAP is to reduce HIV-related health disparities to help end the HIV epidemic. From 2010 through 2016, the RWHAP made significant progress reducing viral suppression disparities among client populations, particularly among women, transgender persons, youths, Blacks or African Americans, and unstably housed clients. To assist with the reduction of the remaining disparities in HIV-related health outcomes among clients, the RWHAP continues to support planning and resource allocation for RWHAP Parts A through D and AIDS Drug Assistance Program, as well as through implementing policy and program initiatives, Special Projects of National Significance, evaluation studies, and collaborations to disseminate effective interventions.


Assuntos
Infecções por HIV , Disparidades em Assistência à Saúde/estatística & dados numéricos , Serviços Preventivos de Saúde , United States Health Resources and Services Administration , Negro ou Afro-Americano , Feminino , Infecções por HIV/economia , Infecções por HIV/epidemiologia , Infecções por HIV/prevenção & controle , Infecções por HIV/terapia , Humanos , Masculino , Pessoas Transgênero , Estados Unidos
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