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| Name | Class |
|---|---|
| Agency for Healthcare Research and Quality (AHRQ) | FED |
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The extent and depth of the ongoing opioid crisis are well known and many interventions are under way in the United States and other countries to alleviate its devastating impact on individuals and the society. To address specific challenges of pain and opioid management (POM) in older and vulnerable adults, the investigators will design and implement a multi-faceted, person-centered, and scalable opioid use disorder (OUD) management program in Oklahoma primary care practices. The investigators expect that the rigorously designed and evidence-based program will establish and disseminate innovative solutions for pain and opioid management in high-risk, older and vulnerable populations living with chronic pain. The proposed initiative will help primary care practices optimize pain management approaches in older adults through an integrated and trans-disciplinary application of innovations in multi-modal pain management, pain mechanism-based pharmacotherapy, patient goal-oriented care, implementation science, evidence-based quality improvement methodology, and community-engaged design.
The project's specific aims are:
Building upon existing guidelines and tools that the investigators' collaborative has developed and implemented for pain and opioid management (POM), refine and tailor care processes, implementation support strategies, and shared decision support resources to the specific needs of older adults in primary care settings, using a systematic approach, including:
Over a 2-year period, help a minimum of 36 Oklahoma primary care practices implement a person-centered, goal-oriented, and community-linked approach to pain management, tailored to older adults. The implementation approach will include the following:
Conduct a multi-dimensional and comprehensive evaluation of the impact of the RISE-OK program, including the measurement of the following outcomes:
Disseminate innovative approaches and products developed by the RISE-OK project in several ways:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Primary Care Practices | Other | Dissemination and Implementation Research |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Dissemination and Implementation Research | Other | The study will employ a research and implementation design that attempts to balance scientific rigor, research good practices, primary care implementation preferences and numerous limitations related to the study context. A waitlist-controlled, staggered implementation study will be conducted with three groups of 15 practices introduced to the intervention in 3-month intervals, each baseline overlapping with interim measurements of care quality and process outcomes in concurrent groups in every 3 months, followed by a final data collection at the end of the intervention in months 16 and 17, including baseline measures plus semi-structured interviews. The groups and their sequence will not be randomized, but practice characteristics will be used to distribute them among the three groups based on location, type, size and patient mix to maximize the balance of practices among the groups. |
| Measure | Description | Time Frame |
|---|---|---|
| Health-Related Quality of Life and Functioning: Physical Health Summary Score | Change in Patient-Reported Outcomes Measurement Information System Survey (PROMIS-29) Physical Health Summary Score | Baseline to 17 months |
| Health-Related Quality of Life and Functioning: Mental Health Summary Score | Change in Patient-Reported Outcomes Measurement Information System Survey (PROMIS-29) Mental Health Summary Score | Baseline to 17 months |
| Morphine Milligram Equivalent (MME) | Change in mean opioid Morphine Milligram Equivalent (MMEs) at the practice level | Baseline to 17 months |
| Measure | Description | Time Frame |
|---|---|---|
| Self-Efficacy | Arthritis Self-Efficacy Scale (ASES) Score. The Arthritis Self-Efficacy Scale has 20 items in 3 subscales: self-efficacy for managing pain (PSE), 5 items; self-efficacy for physical function (FSE), 9 items; and self-efficacy for controlling other systems (OSE), 6 items. Items are rated on a 1 (very uncertain) to 10 (very certain) rating scale. Higher scores indicate greater confidence or self-efficacy. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Timothy VanWagoner, PhD | Contact | (405) 271-3480 | Timothy-VanWagoner@ouhsc.edu | |
| Juell Homco, PhD, MPH | Contact | (918) 660-3808 | juell-homco@ouhsc.edu |
| Name | Affiliation | Role |
|---|---|---|
| Steven Crawford, MD | University of Oklahoma | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Oklahoma Clinical and Translational Science Institute | Recruiting | Oklahoma City | Oklahoma | 73104 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27959718 | Background | Murthy VH. Ending the Opioid Epidemic - A Call to Action. N Engl J Med. 2016 Dec 22;375(25):2413-2415. doi: 10.1056/NEJMp1612578. Epub 2016 Nov 9. No abstract available. | |
| 28033313 | Background | Rudd RA, Seth P, David F, Scholl L. Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015. MMWR Morb Mortal Wkly Rep. 2016 Dec 30;65(50-51):1445-1452. doi: 10.15585/mmwr.mm655051e1. |
| Label | URL |
|---|---|
| U.S. Opioid Prescribing Rate Maps \[Internet\] 2017 | View source |
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| Release Date | Unrelease Date | Unrelease Date Unknown | Reset Date | MCP Release Number |
|---|---|---|---|---|
| Jul 2, 2026 |
| ID | Term |
|---|---|
| D059350 | Chronic Pain |
| D009293 | Opioid-Related Disorders |
| D000377 | Agnosia |
| ID | Term |
|---|---|
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Dissemination and Implementation Research (D&I): Involves assisting primary care practices to address pain and opioid management in older adults. The D&I model also involves Practice Assessment, Academic Detailing, Practice Facilitation, Health Information Technology Support, Performance Feedback and Benchmarking, and a Virtual Learning Community.
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|
| Baseline |
| Self-Efficacy | Arthritis Self-Efficacy Scale (ASES) Score. The Arthritis Self-Efficacy Scale has 20 items in 3 subscales: self-efficacy for managing pain (PSE), 5 items; self-efficacy for physical function (FSE), 9 items; and self-efficacy for controlling other systems (OSE), 6 items. Items are rated on a 1 (very uncertain) to 10 (very certain) rating scale. Higher scores indicate greater confidence or self-efficacy. | 17 months |
| Pain-Function Interference | 3-item Pain-Enjoyment-General Activity (PEG) score | Baseline |
| Pain-Function Interference | 3-item Pain-Enjoyment-General Activity (PEG) score | Month 5 |
| Pain-Function Interference | 3-item Pain-Enjoyment-General Activity (PEG) score | Month 8 |
| Pain-Function Interference | 3-item Pain-Enjoyment-General Activity (PEG) score | Month 12 |
| Pain-Function Interference | 3-item Pain-Enjoyment-General Activity (PEG) score | Month 17 |
| Pain-Related Goal Attainment | Summary of 3-point Pain-Related Goal Attainment Scaling. Patients will rate their Pain-Related Goal Attainment using a 3-category response scale (somewhat less than expected (-1), expected goal achievement (0), and somewhat better than expected (+1). | Baseline |
| Pain-Related Goal Attainment | Summary of 3-point Pain-Related Goal Attainment Scaling. Patients will rate their Pain-Related Goal Attainment using a 3-category response scale (somewhat less than expected (-1), expected goal achievement (0), and somewhat better than expected (+1). | Month 17 |
| Polypharmacy Risk | % of Patients also on psychotropics, sedative-hypnotics, muscle relaxants, or cannabionoids | Baseline |
| Polypharmacy Risk | % of Patients also on psychotropics, sedative-hypnotics, muscle relaxants, or cannabionoids | Month 5 |
| Polypharmacy Risk | % of Patients also on psychotropics, sedative-hypnotics, muscle relaxants, or cannabionoids | Month 8 |
| Polypharmacy Risk | % of Patients also on psychotropics, sedative-hypnotics, muscle relaxants, or cannabionoids | Month 12 |
| Polypharmacy Risk | % of Patients also on psychotropics, sedative-hypnotics, muscle relaxants, or cannabionoids | Month 17 |
| Diversification of Pain Therapy | Number (and Type) of pharmacological and non-pharmacological treatment types | Baseline |
| Diversification of Pain Therapy | Number (and Type) of pharmacological and non-pharmacological treatment types | Month 5 |
| Diversification of Pain Therapy | Number (and Type) of pharmacological and non-pharmacological treatment types | Month 8 |
| Diversification of Pain Therapy | Number (and Type) of pharmacological and non-pharmacological treatment types | Month 12 |
| Diversification of Pain Therapy | Number (and Type) of pharmacological and non-pharmacological treatment types | Month 17 |
| Chronic Opioid Therapy Statistics: Eligible Patients | Number of patients 60+ years of age on chronic opioids | Baseline |
| Chronic Opioid Therapy Statistics: Eligible Patients | Number of patients 60+ years of age on chronic opioids | Month 17 |
| Chronic Opioid Therapy Statistics: Visit Addressing Pain Management | % of patients on chronic opioids that were seen at a visit addressing pain management in the 6 months prior to Baseline. | Baseline |
| Chronic Opioid Therapy Statistics: Visit Addressing Pain Management | % of patients on chronic opioids that were seen at a visit addressing pain management in the 6 months prior to Month 17 of the study. | Month 17 |
| Chronic Opioid Therapy Statistics: Chronic Pain Diagnosis | % of patients on chronic opioids with a chronic pain diagnosis | Baseline |
| Chronic Opioid Therapy Statistics: Chronic Pain Diagnosis | % of patients on chronic opioids with a chronic pain diagnosis | Month 17 |
| Chronic Opioid Therapy Statistics: High Risk Patients | % of patients on chronic opioids with MME>50 and benzo | Baseline |
| Chronic Opioid Therapy Statistics: High Risk Patients | % of patients on chronic opioids with MME>50 and benzo | Month 17 |
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| D000079524 | Narcotic-Related Disorders |
| D019966 | Substance-Related Disorders |
| D064419 | Chemically-Induced Disorders |
| D001523 | Mental Disorders |
| D010468 | Perceptual Disorders |
| D019954 | Neurobehavioral Manifestations |
| D009422 | Nervous System Diseases |