Efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT) in Individuals With Chronic Pain and Opioid Use Disorder: Protocol for a Randomized Clinical Trial of a Digital Cognitive Behavioral Treatment.

Autor:	MacLean RR; VA Connecticut Healthcare System, West Haven, CT, United States.; School of Medicine, Yale University, New Haven, CT, United States., Ankawi B; School of Medicine, Yale University, New Haven, CT, United States.; Pain Research, Informatics, Multimorbidities, and Education (PRIME) Health Services Research and Development Center of Innovation, VA Connecticut Healthcare System, West Haven, CT, United States., Driscoll MA; School of Medicine, Yale University, New Haven, CT, United States.; Pain Research, Informatics, Multimorbidities, and Education (PRIME) Health Services Research and Development Center of Innovation, VA Connecticut Healthcare System, West Haven, CT, United States., Gordon MA; School of Medicine, Yale University, New Haven, CT, United States., Frankforter TL; School of Medicine, Yale University, New Haven, CT, United States., Nich C; School of Medicine, Yale University, New Haven, CT, United States., Szollosy SK; VA Connecticut Healthcare System, West Haven, CT, United States., Loya JM; School of Medicine, Yale University, New Haven, CT, United States., Brito L; School of Medicine, Yale University, New Haven, CT, United States., Ribeiro MIP; School of Medicine, Yale University, New Haven, CT, United States., Edmond SN; School of Medicine, Yale University, New Haven, CT, United States.; Pain Research, Informatics, Multimorbidities, and Education (PRIME) Health Services Research and Development Center of Innovation, VA Connecticut Healthcare System, West Haven, CT, United States., Becker WC; School of Medicine, Yale University, New Haven, CT, United States.; Pain Research, Informatics, Multimorbidities, and Education (PRIME) Health Services Research and Development Center of Innovation, VA Connecticut Healthcare System, West Haven, CT, United States., Martino S; VA Connecticut Healthcare System, West Haven, CT, United States.; School of Medicine, Yale University, New Haven, CT, United States., Sofuoglu M; VA Connecticut Healthcare System, West Haven, CT, United States.; School of Medicine, Yale University, New Haven, CT, United States., Heapy AA; School of Medicine, Yale University, New Haven, CT, United States.; Pain Research, Informatics, Multimorbidities, and Education (PRIME) Health Services Research and Development Center of Innovation, VA Connecticut Healthcare System, West Haven, CT, United States.
Jazyk:	angličtina
Zdroj:	JMIR research protocols [JMIR Res Protoc] 2024 Mar 20; Vol. 13, pp. e54342. Date of Electronic Publication: 2024 Mar 20.
DOI:	10.2196/54342
Abstrakt:	Background: Chronic pain is common among individuals with opioid use disorder (OUD) who are maintained on medications for OUD (MOUD; eg, buprenorphine or methadone). Chronic pain is associated with worse retention and higher levels of substance use. Treatment of individuals with chronic pain receiving MOUD can be challenging due to their increased clinical complexity. Given the acute and growing nature of the opioid crisis, MOUD is increasingly offered in a wide range of settings, where high-quality, clinician-delivered, empirically validated behavioral treatment for chronic pain may not be available. Therefore, digital treatments that support patient self-management of chronic pain and OUD have the potential for wider implementation to fill this gap. Objective: This study aims to evaluate the efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT), an interactive digital treatment program with asynchronous coach feedback, compared to treatment as usual (TAU) in individuals with chronic pain and OUD receiving MOUD. Methods: Adult participants (n=160) receiving MOUD and reporting bothersome or high-impact chronic pain will be recruited from outpatient opioid treatment programs in Connecticut (United States) and randomized 1:1 to either IMPACT+TAU or TAU only. Participants randomized to IMPACT+TAU will complete an interactive digital treatment that includes 9 modules promoting training in pain and addiction coping skills and a progressive walking program. The program is augmented with a weekly personalized voice message from a trained coach based on daily participant-reported pain intensity and interference, craving to use opioids, sleep quality, daily steps, pain self-efficacy, MOUD adherence, and engagement with IMPACT collected through digital surveys. Outcomes will be assessed at 3, 6, and 9 months post randomization. The primary outcome is MOUD retention at 3 months post randomization (ie, post treatment). Secondary outcomes include pain interference, physical functioning, MOUD adherence, substance use, craving, pain intensity, sleep disturbance, pain catastrophizing, and pain self-efficacy. Semistructured qualitative interviews with study participants (n=34) randomized to IMPACT (completers and noncompleters) will be conducted to evaluate the usability and quality of the program and its outcomes. Results: The study has received institutional review board approval and began recruitment at 1 site in July 2022. Recruitment at a second site started in January 2023, with a third and final site anticipated to begin recruitment in January 2024. Data collection is expected to continue through June 2025. Conclusions: Establishing efficacy for a digital treatment for addiction and chronic pain that can be integrated into MOUD clinics will provide options for individuals with OUD, which reduce barriers to behavioral treatment. Participant feedback on the intervention will inform updates or modifications to improve engagement and efficacy. Trial Registration: ClinicalTrials.gov NCT05204576; https://clinicaltrials.gov/ct2/show/NCT05204576. International Registered Report Identifier (irrid): DERR1-10.2196/54342. (©R Ross MacLean, Brett Ankawi, Mary A Driscoll, Melissa A Gordon, Tami L Frankforter, Charla Nich, Sara K Szollosy, Jennifer M Loya, Larissa Brito, Margaridha I P Ribeiro, Sara N Edmond, William C Becker, Steve Martino, Mehmet Sofuoglu, Alicia A Heapy. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 20.03.2024.)
Databáze:	MEDLINE
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