Johnson Karen A, Hunt Timothy, Puglisi Lisa, Chapman Ben, Epa-Llop Amali, Elumn Johanna, Braick Peter, Bhagat Navya, Ko Elizabeth, Nguyen Antoinette, Johnson Rachel, Graham Heather K, Gilbert Louisa, El-Bassel Nabila, Morse Diane S
School of Social Work, University of Alabama, Tuscaloosa, AL 35487, USA.
Social Intervention Group, School of Social Work, Columbia University, New York, NY 10027, USA.
Healthcare (Basel). 2023 Apr 7;11(8):1066. doi: 10.3390/healthcare11081066.
This study examines cross-sectional clusters and longitudinal predictions using an expanded SAVA syndemic conceptual framework-SAVA MH + H (substance use, intimate partner violence, mental health, and homelessness leading to HIV/STI/HCV risks)-among women recently released from incarceration (WRRI) (n = 206) participating in the WORTH Transitions (WT) intervention. WT combines two evidence-based interventions: the Women on the Road to Health HIV intervention, and Transitions Clinic. Cluster analytic and logistic regression methods were utilized. For the cluster analyses, baseline SAVA MH + H variables were categorized into presence/absence. For logistic regression, baseline SAVA MH + H variables were examined on a composite HIV/STI/HCV outcome collected at 6-month follow-up, controlling for lifetime trauma and sociodemographic characteristics. Three SAVA MH + H clusters were identified, the first of which had women with the highest overall levels of SAVA MH + H variables, 47% of whom were unhoused. Hard drug use (HDU) was the only significant predictor of HIV/STI/HCV risks in the regression analyses. HDUs had 4.32-fold higher odds of HIV/STI/HCV outcomes than non-HDUs ( = 0.002). Interventions such as WORTH Transitions must differently target identified SAVA MH + H syndemic risk clusters and HDU to prevent HIV/HCV/STI outcomes among WRRI.
本研究使用扩展的SAVA综合征概念框架——SAVA MH + H(物质使用、亲密伴侣暴力、心理健康和无家可归导致艾滋病毒/性传播感染/丙型肝炎风险),对刚从监禁中释放的女性(WRRI,n = 206)进行了横断面聚类分析和纵向预测,这些女性参与了“值得过渡”(WT)干预项目。WT结合了两项循证干预措施:“女性健康之路艾滋病毒干预”和“过渡诊所”。采用了聚类分析和逻辑回归方法。对于聚类分析,将基线SAVA MH + H变量分为存在/不存在两类。对于逻辑回归,在6个月随访时收集的艾滋病毒/性传播感染/丙型肝炎综合结果上,对基线SAVA MH + H变量进行检验,并控制终身创伤和社会人口学特征。确定了三个SAVA MH + H聚类,其中第一个聚类中的女性SAVA MH + H变量总体水平最高,其中47%无家可归。在回归分析中,硬性药物使用(HDU)是艾滋病毒/性传播感染/丙型肝炎风险的唯一显著预测因素。使用硬性药物的人出现艾滋病毒/性传播感染/丙型肝炎结果的几率比不使用硬性药物的人高4.32倍( = 0.002)。像“值得过渡”这样的干预措施必须针对已确定的SAVA MH + H综合征风险聚类和HDU采取不同的针对性措施,以预防WRRI中的艾滋病毒/丙型肝炎/性传播感染结果。