A5001207587- Digital Mental Health Interventions
- Substance Abuse Treatment and Outcomes
- Posttraumatic Stress Disorder Research
- Anesthesia and Pain Management
- Opioid Use Disorder Treatment
- Pain Mechanisms and Treatments
- Hand Gesture Recognition Systems
- Mobile Health and mHealth Applications
- Child Abuse and Trauma
- Hearing Impairment and Communication
- Rheumatoid Arthritis Research and Therapies
- Language, Discourse, Communication Strategies
- Migration, Health and Trauma
Kaiser Permanente Vallejo Medical Center
2023
Napa State Hospital
2017
University of California, Davis
2017
University of California, San Diego
2004-2010
Veterans Medical Research Foundation of San Diego
2004
Health Services Research & Development
2004
Exposure to traumatic events is common in primary care patients, yet health professionals may be hesitant assess and address the impact of childhood trauma their patients.To patient preferences for discussing experiences posttraumatic stress disorder (PTSD) with clinicians underserved, predominantly Latino patients.Cross-sectional study.We evaluated patients a questionnaire assessing comfort discuss exposure symptoms using Adverse Childhood Experiences (ACE) Study Primary Care-PTSD screen....
Background Multiple digital data sources can capture moment-to-moment information to advance a robust understanding of opioid use disorder (OUD) behavior, ultimately creating phenotype for each patient. This lead individualized interventions improve treatment OUD. Objective The aim is examine patient engagement with multiple phenotyping methods among patients receiving buprenorphine medication Methods study enrolled 65 OUD between June 2020 and January 2021 from 4 addiction medicine programs...
Few instruments have been translated and validated for people who use American Sign Language (ASL) as their preferred language. This study examined the reliability validity of a new ASL version widely used Multidimensional Health Locus Control (MHLC) scales. Deaf individuals ( N = 311) were shown via videotape, responses recorded. Confirmatory factor analysis supported four-factor structure MHLC. Scale reliabilities (Cronbach’s alphas) ranged from 0.60 to 0.93. There no apparent gender or...
<sec> <title>BACKGROUND</title> Multiple digital data sources can capture moment-to-moment information to advance a robust understanding of opioid use disorder (OUD) behavior, ultimately creating phenotype for each patient. This lead individualized interventions improve treatment OUD. </sec> <title>OBJECTIVE</title> The aim is examine patient engagement with multiple phenotyping methods among patients receiving buprenorphine medication <title>METHODS</title> study enrolled 65 OUD between...