Associations Between Health Insurance Coverage with HIV Detection and Prevention Behaviors Among Individuals with Undiagnosed HIV or at Increased Risk for HIV Infection in the USA.

IF 2 3区 心理学 Q3 PSYCHOLOGY, CLINICAL
Jacklyn D Foley, R Monina Klevens, Conall O'Cleirigh, Calvin Fitch, Sara L Rodriguez, Abigail Batchelder
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引用次数: 0

Abstract

Background: Improving HIV detection and prevention remains a critical public health initiative that requires policy-based solutions. This study sought to compare HIV detection/prevention behaviors before and after healthcare reform in Massachusetts, USA, among heterosexually active persons - the group with the highest reported number of undiagnosed HIV cases. The current study sought to (1) characterize differences in insurance coverage and HIV detection/prevention behaviors between cycles 1 (2006) to 5 (2019); (2) evaluate socio-demographic disparities in insurance coverage accounting for cycle; and (3) evaluate associations between health insurance coverage and HIV detection/prevention behaviors accounting for cycle and socio-demographics.

Methods: This is a secondary analysis of the National HIV Behavioral Surveillance (NHBS) project: Boston HET cycle (i.e., made up of heterosexually active persons living in the Boston area) data. Descriptive, bivariate (e.g., chi-square), and multiple logistic and negative binomial loglink regression analyses were conducted.

Results: In chi-square analyses with post hoc Bonferroni tests, the proportion of participants with current health insurance significantly increased from cycle 1 (77%) to cycle 2 (95%), p < .001. In the regression models that controlled for NHBS cycle, 1-year change in age (adjusted odds ratio [aOR] = 1.03, 95% confidence interval [CI] = 1.02, 1.05), female gender (aOR = 3.41, 95% CI = 2.48, 4.69), and change in education category (aOR = 1.19, 95% CI = 1.02, 1.39) were associated with a higher likelihood of having health insurance. In regression models that controlled for cycle, age, gender, and education, participants with health insurance were more likely than those without insurance to report seeing a medical provider in the past year (aOR = 3.49, 95% CI = 2.32, 4.66), ever having an HIV test (aOR = 1.52, 95% CI = 0.35, 2.69) and more frequent HIV testing in the past 2 years (incidence rate ratio [IRR] = 1.44, 95% = 1.14, 1.82). Participants with health insurance did not differ from those without insurance in number of vaginal condomless sex partners (IRR = 1.16, 95% CI = 0.95, 1.41) but did report more condomless anal sex partners in the past year (IRR = 1.97, 95% CI = 1.46, 2.65).

Conclusions: This study demonstrates how health insurance coverage is positively associated with HIV detection and prevention relevant to both US and international efforts to end the HIV epidemic.

美国未确诊艾滋病病毒感染者或艾滋病病毒感染风险增加者的健康保险覆盖率与艾滋病病毒检测和预防行为之间的关系。
背景:改善 HIV 检测和预防仍然是一项重要的公共卫生举措,需要基于政策的解决方案。本研究旨在比较美国马萨诸塞州医疗改革前后异性性行为活跃者(报告的未确诊 HIV 病例数最多的群体)的 HIV 检测/预防行为。本研究旨在:(1) 描述周期 1(2006 年)至周期 5(2019 年)之间保险覆盖率和 HIV 检测/预防行为的差异;(2) 评估保险覆盖率的社会人口差异(考虑周期因素);(3) 评估健康保险覆盖率与 HIV 检测/预防行为之间的关联(考虑周期因素和社会人口因素):这是国家 HIV 行为监测(NHBS)项目的二次分析:波士顿 HET 周期(即由生活在波士顿地区的异性性行为活跃者组成)数据。对这些数据进行了描述性分析、二元分析(如卡方)、多重逻辑分析和负二项式对数回归分析:结果:在带有事后 Bonferroni 检验的卡方分析中,拥有当前医疗保险的参与者比例从周期 1(77%)显著增加到周期 2(95%),P 结论:这项研究表明,医疗保险的覆盖面是如何影响参与者的健康状况的:这项研究表明,医疗保险覆盖率与艾滋病检测和预防有着积极的联系,这与美国和国际社会为结束艾滋病流行所做的努力息息相关。
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来源期刊
CiteScore
5.20
自引率
3.70%
发文量
97
期刊介绍: The International Journal of Behavioral Medicine (IJBM) is the official scientific journal of the International Society for Behavioral Medicine (ISBM). IJBM seeks to present the best theoretically-driven, evidence-based work in the field of behavioral medicine from around the globe. IJBM embraces multiple theoretical perspectives, research methodologies, groups of interest, and levels of analysis. The journal is interested in research across the broad spectrum of behavioral medicine, including health-behavior relationships, the prevention of illness and the promotion of health, the effects of illness on the self and others, the effectiveness of novel interventions, identification of biobehavioral mechanisms, and the influence of social factors on health. We welcome experimental, non-experimental, quantitative, qualitative, and mixed-methods studies as well as implementation and dissemination research, integrative reviews, and meta-analyses.
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