Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial
BackgroundDespite strong and growing interest in ending the ongoing opioid health crisis, there has been limited success in reducing the prevalence of opioid addiction and the number of deaths associated with opioid overdoses. Further, 1 explanation for this is that existing...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2024-03-01
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| Series: | JMIR Research Protocols |
| Online Access: | https://www.researchprotocols.org/2024/1/e52882 |
| _version_ | 1827322678838558720 |
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| author | Rubina Fatima Rizvi Jamee Ann Schoephoerster Sagar Satish Desphande Michael Usher Andy Elaine Oien Maya Marie Peters Matthew Scott Loth Matthew William Bahr Steffen Ventz Joseph Stephen Koopmeiners Genevieve B Melton |
| author_facet | Rubina Fatima Rizvi Jamee Ann Schoephoerster Sagar Satish Desphande Michael Usher Andy Elaine Oien Maya Marie Peters Matthew Scott Loth Matthew William Bahr Steffen Ventz Joseph Stephen Koopmeiners Genevieve B Melton |
| author_sort | Rubina Fatima Rizvi |
| collection | DOAJ |
| description |
BackgroundDespite strong and growing interest in ending the ongoing opioid health crisis, there has been limited success in reducing the prevalence of opioid addiction and the number of deaths associated with opioid overdoses. Further, 1 explanation for this is that existing interventions target those who are opiate-dependent but do not prevent opioid-naïve patients from becoming addicted.
ObjectiveLeveraging behavioral economics at the patient level could help patients successfully use, discontinue, and dispose of their opioid medications in an acute pain setting. The primary goal of this project is to evaluate the effect of the 3 versions of the Opioid Management for You (OPY) tool on measures of opioid use relative to the standard of care by leveraging a pragmatic randomized controlled trial (RCT).
MethodsA team of researchers from the Center for Learning Health System Sciences (CLHSS) at the University of Minnesota partnered with M Health Fairview to design, build, and test the 3 versions of the OPY tool: social influence, precommitment, and testimonial version. The tool is being built using the Epic Care Companion (Epic Inc) platform and interacts with the patient through their existing MyChart (Epic Systems Corporation) personal health record account, and Epic patient portal, accessed through a phone app or the MyChart website. We have demonstrated feasibility with pilot data of the social influence version of the OPY app by targeting our pilot to a specific cohort of patients undergoing upper-extremity procedures. This study will use a group sequential RCT design to test the impact of this important health system initiative. Patients who meet OPY inclusion criteria will be stratified into low, intermediate, and high risk of opiate use based on their type of surgery.
ResultsThis study is being funded and supported by the CLHSS Rapid Prospective Evaluation and Digital Technology Innovation Programs, and M Health Fairview. Support and coordination provided by CLHSS include the structure of engagement, survey development, data collection, statistical analysis, and dissemination. The project was initially started in August 2022. The pilot was launched in February 2023 and is still running, with the data last counted in August 2023. The actual RCT is planned to start by early 2024.
ConclusionsThrough this RCT, we will test our hypothesis that patient opioid use and diverted prescription opioid availability can both be improved by information delivery applied through a behavioral economics lens via sending nudges directly to the opioid users through their personal health record.
Trial RegistrationClinicalTrials.gov NCT06124079; https://clinicaltrials.gov/study/NCT06124079
International Registered Report Identifier (IRRID)PRR1-10.2196/52882 |
| first_indexed | 2024-04-25T01:29:40Z |
| format | Article |
| id | doaj.art-fd66c7e0c69d4c889b7002c412bdbdae |
| institution | Directory Open Access Journal |
| issn | 1929-0748 |
| language | English |
| last_indexed | 2024-04-25T01:29:40Z |
| publishDate | 2024-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Research Protocols |
| spelling | doaj.art-fd66c7e0c69d4c889b7002c412bdbdae2024-03-08T13:30:33ZengJMIR PublicationsJMIR Research Protocols1929-07482024-03-0113e5288210.2196/52882Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled TrialRubina Fatima Rizvihttps://orcid.org/0000-0001-9432-3086Jamee Ann Schoephoersterhttps://orcid.org/0000-0002-0037-1480Sagar Satish Desphandehttps://orcid.org/0000-0002-6130-613XMichael Usherhttps://orcid.org/0000-0002-0205-987XAndy Elaine Oienhttps://orcid.org/0009-0000-0030-4483Maya Marie Petershttps://orcid.org/0000-0003-4603-1948Matthew Scott Lothhttps://orcid.org/0000-0002-7777-9919Matthew William Bahrhttps://orcid.org/0009-0009-2813-7619Steffen Ventzhttps://orcid.org/0000-0003-2229-9560Joseph Stephen Koopmeinershttps://orcid.org/0000-0001-6147-3168Genevieve B Meltonhttps://orcid.org/0000-0001-5193-1663 BackgroundDespite strong and growing interest in ending the ongoing opioid health crisis, there has been limited success in reducing the prevalence of opioid addiction and the number of deaths associated with opioid overdoses. Further, 1 explanation for this is that existing interventions target those who are opiate-dependent but do not prevent opioid-naïve patients from becoming addicted. ObjectiveLeveraging behavioral economics at the patient level could help patients successfully use, discontinue, and dispose of their opioid medications in an acute pain setting. The primary goal of this project is to evaluate the effect of the 3 versions of the Opioid Management for You (OPY) tool on measures of opioid use relative to the standard of care by leveraging a pragmatic randomized controlled trial (RCT). MethodsA team of researchers from the Center for Learning Health System Sciences (CLHSS) at the University of Minnesota partnered with M Health Fairview to design, build, and test the 3 versions of the OPY tool: social influence, precommitment, and testimonial version. The tool is being built using the Epic Care Companion (Epic Inc) platform and interacts with the patient through their existing MyChart (Epic Systems Corporation) personal health record account, and Epic patient portal, accessed through a phone app or the MyChart website. We have demonstrated feasibility with pilot data of the social influence version of the OPY app by targeting our pilot to a specific cohort of patients undergoing upper-extremity procedures. This study will use a group sequential RCT design to test the impact of this important health system initiative. Patients who meet OPY inclusion criteria will be stratified into low, intermediate, and high risk of opiate use based on their type of surgery. ResultsThis study is being funded and supported by the CLHSS Rapid Prospective Evaluation and Digital Technology Innovation Programs, and M Health Fairview. Support and coordination provided by CLHSS include the structure of engagement, survey development, data collection, statistical analysis, and dissemination. The project was initially started in August 2022. The pilot was launched in February 2023 and is still running, with the data last counted in August 2023. The actual RCT is planned to start by early 2024. ConclusionsThrough this RCT, we will test our hypothesis that patient opioid use and diverted prescription opioid availability can both be improved by information delivery applied through a behavioral economics lens via sending nudges directly to the opioid users through their personal health record. Trial RegistrationClinicalTrials.gov NCT06124079; https://clinicaltrials.gov/study/NCT06124079 International Registered Report Identifier (IRRID)PRR1-10.2196/52882https://www.researchprotocols.org/2024/1/e52882 |
| spellingShingle | Rubina Fatima Rizvi Jamee Ann Schoephoerster Sagar Satish Desphande Michael Usher Andy Elaine Oien Maya Marie Peters Matthew Scott Loth Matthew William Bahr Steffen Ventz Joseph Stephen Koopmeiners Genevieve B Melton Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial JMIR Research Protocols |
| title | Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial |
| title_full | Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial |
| title_fullStr | Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial |
| title_full_unstemmed | Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial |
| title_short | Decreasing Opioid Addiction and Diversion Using Behavioral Economics Applied Through a Digital Engagement Solution: Protocol for a Randomized Controlled Trial |
| title_sort | decreasing opioid addiction and diversion using behavioral economics applied through a digital engagement solution protocol for a randomized controlled trial |
| url | https://www.researchprotocols.org/2024/1/e52882 |
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