Adaptive Decision-making And Personalized Treatment for PTSD (ADAPT-PTSD)
Purpose
By doing this research project, the investigators hope to learn which strategies work best to help veterans who are not benefiting from their first PTSD treatment or not completing between-session homework assignments regularly that might improve treatment response. The investigators also want to learn how best to match the right type and amount of treatment to each individual veteran. By conducting this research project, they hope to: - See if trying a different treatment strategy for veterans not responding to their first PTSD treatment would be more helpful - See if sending text message prompts between sessions encourages more completion of between-session homework
Conditions
- Posttraumatic Stress Disorder
- PTSD
Eligibility
- Eligible Ages
- Over 18 Years
- Eligible Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- Veterans eligible for PE and CPT at the participating PTSD treatment-providing clinic who are 2. At least 18 years or older 3. Score ≥ 31 on the PCL-5 secondary to a Criterion A traumatic event 4. Own a mobile device that can be used for the therapy companion mobile app (Prolonged Exposure (PE) coach or Cognitive Processing Therapy (CPT) coach).
Exclusion Criteria
- Acute suicide risk requiring clinical intervention 2. Need for detoxification 3. Unmanaged psychosis or bipolar disorder 4. Severe cognitive impairment that makes it unlikely that participants can adhere to the study regimen (as evidenced by confusion, inability to track discussion or answer questions, or other clear and significant indicators of cognitive impairment) 5. Current or past 12-month engagement in PE or CPT.
Study Design
- Phase
- N/A
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Sequential Assignment
- Intervention Model Description
- This study is a randomized controlled effectiveness trial utilizing a Hybrid Experimental Design (HED) comprised of a Sequential Multiple Assignment Randomized Trial (SMART) and Micro-Randomized Trial (MRT)
- Primary Purpose
- Treatment
- Masking
- None (Open Label)
Arm Groups
Arm | Description | Assigned Intervention |
---|---|---|
Active Comparator Early CPT Non-Responders Switch (Group A) |
Early NON-RESPONDERS to CPT will SWITCH to PE |
|
Active Comparator Early CPT Non-Responders Modular (Group B) |
Early NON-RESPONDERS to CPT will transition to MODULAR CPT |
|
Active Comparator Early CPT Responders Continue (Group C) |
Early RESPONDERS to CPT will CONTINUE in their CPT treatment |
|
Active Comparator Early CPT Responders Step Down (Group D) |
Early RESPONDERS to CPT will STEP DOWN to self-managed CPT |
|
Active Comparator Early PE Non-Responsers Switch (Group E) |
Early NON-RESPONDERS to PE will SWITCH to CPT |
|
Active Comparator Early PE Non-Responders Modular (Group F) |
Early NON-RESPONDERS to PE will transition to MODULAR PE |
|
Active Comparator Early PE Responders Continue (Group G) |
Early RESPONDERS will CONTINUE in their PE treatment |
|
Active Comparator Early PE Responders Step Down (Group H) |
Early RESPONDERS to PE will STEP DOWN to self-managed PE |
|
Recruiting Locations
More Details
- Status
- Recruiting
- Sponsor
- The University of Texas Health Science Center at San Antonio
Detailed Description
This study is designed to assist the investigators in answering the clinical question of how to address non-response to first line PTSD treatments. Utilizing an innovative Hybrid Experimental Design (HED), the proposed study involves multiple, sequential randomizations to both therapist-delivered and digital interventions operating on short and long timescales to determine the optimal combination and sequencing of evidence-based interventions to maximize response. This will result in actionable data and, consistent with a personalized medicine approach, an implementable, adaptive treatment regimen that optimizes clinical resource allocation. By recruiting and providing treatment in routine care settings serving veterans with PTSD, the study design maximizes generalizability, relevance to the VA mission, and implementation potential.