Rahel Dawit, William C Goedel, Hsien-Yen Chang, Amy S Nunn, Philip A Chan, Jalpa A Doshi, Lorraine T Dean
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This was followed by bivariate analysis to determine the association between predictor variables and percent PrEP reversal. Finally multivariable logistic regressions were used to assess the association between percent PrEP reversal and variables that were significant from the bivariate analysis. A total of 308 counties were included in this analysis, where the mean number of PrEP prescriptions for counties was 44, with a median of 14 (Interquartile range 7-34). In the multivariable analysis, counties with higher level of unemployment (aOR: 1.10, 95% CI: 1.05-1.16) and rural counties (1.10: 1.04-1.17) had higher odds of PrEP reversal; while counties with higher household crowding (0.97: 0.95-0.99) had lower odds of PrEP reversal. Findings show the need for expanding and implementing programs as well as policies to improve PrEP services that are tailored to local socioeconomic circumstances.</p>","PeriodicalId":7543,"journal":{"name":"AIDS and Behavior","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"County-Level Factors Associated with Reversal of Insurer-Approved HIV Pre-Exposure Prophylaxis Prescriptions in the United States, 2018.\",\"authors\":\"Rahel Dawit, William C Goedel, Hsien-Yen Chang, Amy S Nunn, Philip A Chan, Jalpa A Doshi, Lorraine T Dean\",\"doi\":\"10.1007/s10461-024-04585-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Identifying county-level factors that influence pre-exposure prophylaxis (PrEP) adherence is critical for ending the HIV epidemic in the United States (US). 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In the multivariable analysis, counties with higher level of unemployment (aOR: 1.10, 95% CI: 1.05-1.16) and rural counties (1.10: 1.04-1.17) had higher odds of PrEP reversal; while counties with higher household crowding (0.97: 0.95-0.99) had lower odds of PrEP reversal. 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引用次数: 0
摘要
确定影响暴露前预防(PrEP)依从性的县级因素对于结束美国的艾滋病毒流行至关重要。PrEP初级逆转是一个术语,用于描述没有从药房获得处方药物的患者。本研究旨在确定2018年县级PrEP逆转的相关因素。数据收集自Symphony Health Analytics、AIDS Vu、美国人口普查局和美国疾病控制与预防中心国家预防信息网络。创建了双变量Choropleth图,以确定PrEP逆转和艾滋病毒发病率高低的县。随后进行了双变量分析,以确定预测变量与PrEP逆转百分比之间的关系。最后,使用多变量逻辑回归来评估PrEP逆转百分比与双变量分析中显着变量之间的关系。本分析共纳入308个县,县的PrEP处方平均为44张,中位数为14张(四分位数范围7-34)。在多变量分析中,失业率较高的县(aOR: 1.10, 95% CI: 1.05-1.16)和农村县(1.10:1.04-1.17)的PrEP逆转几率较高;而家庭拥挤程度较高的县(0.97:0.95-0.99)PrEP逆转的几率较低。调查结果表明,需要扩大和实施适合当地社会经济情况的规划和政策,以改善预防服务。
County-Level Factors Associated with Reversal of Insurer-Approved HIV Pre-Exposure Prophylaxis Prescriptions in the United States, 2018.
Identifying county-level factors that influence pre-exposure prophylaxis (PrEP) adherence is critical for ending the HIV epidemic in the United States (US). PrEP primary reversal is a term used to describe patients who do not obtain their prescribed medication from the pharmacy. This study sought to identify factors associated with PrEP reversal at the county level in 2018. Data were collected from Symphony Health Analytics, AIDS Vu, the US Census Bureau, and the Centers for Disease Control and Prevention National Prevention Information Network. Bivariate Choropleth maps were created to identify counties with high and low levels of PrEP reversal and HIV incidence. This was followed by bivariate analysis to determine the association between predictor variables and percent PrEP reversal. Finally multivariable logistic regressions were used to assess the association between percent PrEP reversal and variables that were significant from the bivariate analysis. A total of 308 counties were included in this analysis, where the mean number of PrEP prescriptions for counties was 44, with a median of 14 (Interquartile range 7-34). In the multivariable analysis, counties with higher level of unemployment (aOR: 1.10, 95% CI: 1.05-1.16) and rural counties (1.10: 1.04-1.17) had higher odds of PrEP reversal; while counties with higher household crowding (0.97: 0.95-0.99) had lower odds of PrEP reversal. Findings show the need for expanding and implementing programs as well as policies to improve PrEP services that are tailored to local socioeconomic circumstances.
期刊介绍:
AIDS and Behavior provides an international venue for the scientific exchange of research and scholarly work on the contributing factors, prevention, consequences, social impact, and response to HIV/AIDS. This bimonthly journal publishes original peer-reviewed papers that address all areas of AIDS behavioral research including: individual, contextual, social, economic and geographic factors that facilitate HIV transmission; interventions aimed to reduce HIV transmission risks at all levels and in all contexts; mental health aspects of HIV/AIDS; medical and behavioral consequences of HIV infection - including health-related quality of life, coping, treatment and treatment adherence; and the impact of HIV infection on adults children, families, communities and societies. The journal publishes original research articles, brief research reports, and critical literature reviews. provides an international venue for the scientific exchange of research and scholarly work on the contributing factors, prevention, consequences, social impact, and response to HIV/AIDS. This bimonthly journal publishes original peer-reviewed papers that address all areas of AIDS behavioral research including: individual, contextual, social, economic and geographic factors that facilitate HIV transmission; interventions aimed to reduce HIV transmission risks at all levels and in all contexts; mental health aspects of HIV/AIDS; medical and behavioral consequences of HIV infection - including health-related quality of life, coping, treatment and treatment adherence; and the impact of HIV infection on adults children, families, communities and societies. The journal publishes original research articles, brief research reports, and critical literature reviews.5 Year Impact Factor: 2.965 (2008) Section ''SOCIAL SCIENCES, BIOMEDICAL'': Rank 5 of 29 Section ''PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH'': Rank 9 of 76