Cognitive Processing Intervention for Trauma, HIV/STI Risks, and Substance Use Among Native Women

Many American Indian (AI) women never receive services for serious mental health problems resulting from traumatic events, violence exposure and maltreatment. AI women suffer higher lifetime rates of Post-traumatic Stress Disorder (PTSD) (20-23%), that often co-occur with excessive drinking and risky sexual behaviors. These factors magnify risk for human immunodeficiency virus and sexually transmitted disease (HIV/STI). In full development with tribal partners, this application, proposes a 3-year project to culturally adapt and pilot an empirically supported trauma-focused treatment, Cognitive Processing Therapy (CPT) for PTSD, substance use and HIV/STI sexual risk behavior among 50 AI women. Additionally, the investigators will assess the feasibility, acceptability and treatment fidelity of delivering CPT via AI community health workers in a resource-limited tribal reservation. This project brings a culturally responsive intervention to an understudied and highly vulnerable population. Its significance lies in its potential to advance science in the area of PTSD, substance use treatment and HIV/STI prevention among AI women. Study data would benefit tribal and rural communities and the mental health field. Finally, it is geared toward developing the research infrastructure and mental health treatment capacity serving AI women living in rural settings, a group at risk for an expanding HIV/AIDS epidemic. If successful, findings from this pilot will provide evidence for a larger effectiveness trial. The AIMS are AIM I. Adapt the evidence-based CPT intervention in full collaboration with tribal partners. This will be done in accordance with the CDC's Map of Adaptation Process and involves formative research with tribal leaders, potential consumers, providers, and health care administrators using qualitative methodology. AIM 2. Assess this intervention delivered by Native American community health workers for feasibility and acceptability in a resource-limited rural r