A remote measurement study of PTSD and cannabis use among veterans: Recruitment, retention, and data availability

With the growing availability of cannabis and increasing public support for legalization, cannabis use disorder (CUD) rates have risen, particularly among veterans, who face disproportionately high rates of co-occurring posttraumatic stress disorder (PTSD) and CUD. Veterans often use cannabis to manage PTSD symptoms, yet research suggests cannabis may exacerbate and maintain these symptoms. Predicting symptom escalation remains challenging due to the complexity of PTSD-CUD interactions and a lack of predictive tools. Advances in mobile and wearable technology provide new opportunities for real-time monitoring, integrating active (self-reported) and passive (sensor-based) data to improve symptom prediction and intervention timing. This longitudinal study examined the feasibility of collecting data among recently discharged veterans with PTSD and cannabis use. The study employed the MAVERICK mobile app, integrating passive data (e.g., heart rate, sleep, activity) and active data (e.g., self-report surveys) over three months. Phase 1 involved beta testing with 20 veterans, assessing feasibility and acceptability, while Phase 2 recruited 75 veterans to evaluate recruitment, retention, and data completeness. Findings indicate high feasibility, with 91.9% of participants providing passive data and a 68% response rate for daily self-report measures. However, data availability varied across measures. These results highlight the potential for integrating passive and active data to improve symptom prediction and early intervention efforts for PTSD and CUD in veterans. Future research should explore long-term engagement strategies and clinical applications of these digital tools to enhance veteran mental health care.

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Publication Details

Journal
PLoS ONE
Published
2025-09-29
DOI
https://doi.org/10.1371/journal.pone.0332239
Citations
2
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
3.09
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article

A remote measurement study of PTSD and cannabis use among veterans: Recruitment, retention, and data availability

Eric R. Pedersen, Angeles Sedano, Esther Howe, Jordan P. Davis et al.
2 citations
PLoS ONE
Digital Mental Health Interventions
3.09
article

A remote measurement study of PTSD and cannabis use among veterans: Recruitment, retention, and data availability

Eric R. Pedersen, Angeles Sedano, Esther Howe, Jordan P. Davis, Emily R. Dworkin, Shaddy K. Saba, Bistra Dilkina, Venkata Saai Praneeth Thota, Sriram Nuthi
article en
2 citations

Abstract

With the growing availability of cannabis and increasing public support for legalization, cannabis use disorder (CUD) rates have risen, particularly among veterans, who face disproportionately high rates of co-occurring posttraumatic stress disorder (PTSD) and CUD. Veterans often use cannabis to manage PTSD symptoms, yet research suggests cannabis may exacerbate and maintain these symptoms. Predicting symptom escalation remains challenging due to the complexity of PTSD-CUD interactions and a lack of predictive tools. Advances in mobile and wearable technology provide new opportunities for real-time monitoring, integrating active (self-reported) and passive (sensor-based) data to improve symptom prediction and intervention timing. This longitudinal study examined the feasibility of collecting data among recently discharged veterans with PTSD and cannabis use. The study employed the MAVERICK mobile app, integrating passive data (e.g., heart rate, sleep, activity) and active data (e.g., self-report surveys) over three months. Phase 1 involved beta testing with 20 veterans, assessing feasibility and acceptability, while Phase 2 recruited 75 veterans to evaluate recruitment, retention, and data completeness. Findings indicate high feasibility, with 91.9% of participants providing passive data and a 68% response rate for daily self-report measures. However, data availability varied across measures. These results highlight the potential for integrating passive and active data to improve symptom prediction and early intervention efforts for PTSD and CUD in veterans. Future research should explore long-term engagement strategies and clinical applications of these digital tools to enhance veteran mental health care.

PLoS ONEVol. 20(9)
University of Southern California (US), RAND Corporation (US), King's College London (GB), University of Washington (US), Berry (United States) (US), New York University (US)
Openalex Percentile: Top 7%
Digital Mental Health Interventions
3.09
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