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Ma P, Cheng Y, Goulet JL, Sandbrink F, Brandt C, Spevak C, Kean JT, Becker W, Libin A, Shara N, Sheriff HM, Houston JS, Butler J, Workman ET, Agrawal RM, Kupersmith J, Zeng-Treitler Q. Guideline concordant opioid therapy in Veterans receiving VA and community care. BMC Health Serv Res 2024; 24:1284. [PMID: 39456008 PMCID: PMC11515256 DOI: 10.1186/s12913-024-11742-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 10/10/2024] [Indexed: 10/28/2024] Open
Abstract
Guideline concordant opioid therapy is a key part of the concerted effort to address the opioid crisis in the United States. The study aimed to compare the rates of guideline concordant care between veterans who solely used VA services (mono users) and veterans who used both VA services and community care (dual-system users). We used electronic health record data from the Washington DC and Baltimore VA Medical Centers from 2015 to 2019. We provided descriptive statistics as well as generalized estimating equations models to find associations between mono vs. dual-system users and each guideline outcome, controlling for demographic factors and comorbid conditions. The study found that overall rates of guideline concordant care were high in both mono and dual-system users with over 90% adherence rates for the majority of recommendations. However, there were variations in adherence to specific guidelines, with urine drug screening at initiation being the least commonly followed recommendation (8.9% of mono-user opioid initiators and 11.2% of dual-user initiators). This study also found that there was no consistent pattern of higher guideline adherence in mono vs. dual-system users but did show that through the course of this study (2015-2019) overall rates of guideline concordance increased. Future research will explore additional guideline recommendations and potential coordination issues among dual-system users.
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Affiliation(s)
- Phillip Ma
- Washington DC VA Medical Center, Washington, DC, USA
- George Washington University, Washington, DC, USA
| | - Yan Cheng
- Washington DC VA Medical Center, Washington, DC, USA
- George Washington University, Washington, DC, USA
| | - Joseph L Goulet
- Washington DC VA Medical Center, Washington, DC, USA
- Yale University, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | | | - Cynthia Brandt
- Yale University, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Chris Spevak
- Georgetown University School of Medicine, Washington, DC, USA
- Georgetown Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
| | - Jacob T Kean
- Washington DC VA Medical Center, Washington, DC, USA
| | - William Becker
- Yale University, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
| | - Alexander Libin
- Georgetown University School of Medicine, Washington, DC, USA
- MedStar Health, Columbia, MD, USA
- Georgetown Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
| | - Nawar Shara
- Georgetown University School of Medicine, Washington, DC, USA
- MedStar Health, Columbia, MD, USA
- Georgetown Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
| | - Helen M Sheriff
- Washington DC VA Medical Center, Washington, DC, USA
- George Washington University, Washington, DC, USA
| | | | | | - Elizabeth T Workman
- Washington DC VA Medical Center, Washington, DC, USA
- George Washington University, Washington, DC, USA
| | | | - Joel Kupersmith
- Washington DC VA Medical Center, Washington, DC, USA
- Georgetown University School of Medicine, Washington, DC, USA
| | - Qing Zeng-Treitler
- Washington DC VA Medical Center, Washington, DC, USA.
- George Washington University, Washington, DC, USA.
- University Biomedical Informatics Center, 2600 Virginia Ave NW, Suite 300, 20037, Washington, DC, USA.
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Apathy NC, Sanner L, Adams MCB, Mamlin BW, Grout RW, Fortin S, Hillstrom J, Saha A, Teal E, Vest JR, Menachemi N, Hurley RW, Harle CA, Mazurenko O. Assessing the use of a clinical decision support tool for pain management in primary care. JAMIA Open 2022; 5:ooac074. [PMID: 36128342 PMCID: PMC9476612 DOI: 10.1093/jamiaopen/ooac074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/11/2022] [Accepted: 08/18/2022] [Indexed: 01/23/2023] Open
Abstract
Objective Given time constraints, poorly organized information, and complex patients, primary care providers (PCPs) can benefit from clinical decision support (CDS) tools that aggregate and synthesize problem-specific patient information. First, this article describes the design and functionality of a CDS tool for chronic noncancer pain in primary care. Second, we report on the retrospective analysis of real-world usage of the tool in the context of a pragmatic trial. Materials and methods The tool known as OneSheet was developed using user-centered principles and built in the Epic electronic health record (EHR) of 2 health systems. For each relevant patient, OneSheet presents pertinent information in a single EHR view to assist PCPs in completing guideline-recommended opioid risk mitigation tasks, review previous and current patient treatments, view patient-reported pain, physical function, and pain-related goals. Results Overall, 69 PCPs accessed OneSheet 2411 times (since November 2020). PCP use of OneSheet varied significantly by provider and was highly skewed (site 1: median accesses per provider: 17 [interquartile range (IQR) 9-32]; site 2: median: 8 [IQR 5-16]). Seven "power users" accounted for 70% of the overall access instances across both sites. OneSheet has been accessed an average of 20 times weekly between the 2 sites. Discussion Modest OneSheet use was observed relative to the number of eligible patients seen with chronic pain. Conclusions Organizations implementing CDS tools are likely to see considerable provider-level variation in usage, suggesting that CDS tools may vary in their utility across PCPs, even for the same condition, because of differences in provider and care team workflows.
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Affiliation(s)
- Nate C Apathy
- Leonard Davis Institute of Health Economics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
| | - Lindsey Sanner
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
| | - Meredith C B Adams
- Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Burke W Mamlin
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Internal Medicine, Eskenazi Health, Indianapolis, Indiana, USA
- Department of Clinical Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Randall W Grout
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Informatics, Eskenazi Health, Indianapolis, Indiana, USA
| | - Saura Fortin
- Primary Care, Eskenazi Health, Indianapolis, Indiana, USA
| | - Jennifer Hillstrom
- IS Ambulatory & Research Solutions, Eskenazi Health, Indianapolis, Indiana, USA
| | - Amit Saha
- Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Evgenia Teal
- Data Core, Regenstrief Institute, Indianapolis, Indiana, USA
| | - Joshua R Vest
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
| | - Nir Menachemi
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
| | - Robert W Hurley
- Anesthesiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Christopher A Harle
- Clem McDonald Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana, USA
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, USA
| | - Olena Mazurenko
- Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA
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Binswanger IA, Rinehart D, Mueller SR, Narwaney KJ, Stowell M, Wagner N, Xu S, Hanratty R, Blum J, McVaney K, Glanz JM. Naloxone Co-Dispensing with Opioids: a Cluster Randomized Pragmatic Trial. J Gen Intern Med 2022; 37:2624-2633. [PMID: 35132556 PMCID: PMC9411391 DOI: 10.1007/s11606-021-07356-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 12/15/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Although naloxone prevents opioid overdose deaths, few patients prescribed opioids receive naloxone, limiting its effectiveness in real-world settings. Barriers to naloxone prescribing include concerns that naloxone could increase risk behavior and limited time to provide necessary patient education. OBJECTIVE To determine whether pharmacy-based naloxone co-dispensing affected opioid risk behavior. Secondary objectives were to assess if co-dispensing increased naloxone acquisition, increased patient knowledge about naloxone administration, and affected opioid dose and other substance use. DESIGN Cluster randomized pragmatic trial of naloxone co-dispensing. SETTING Safety-net health system in Denver, Colorado, between 2017 and 2020. PARTICIPANTS Seven pharmacies were randomized. Pharmacy patients (N=768) receiving opioids were followed using automated data for 10 months. Pharmacy patients were also invited to complete surveys at baseline, 4 months, and 8 months; 325 survey participants were enrolled from November 15, 2017, to January 8, 2019. INTERVENTION Intervention pharmacies implemented workflows to co-dispense naloxone while usual care pharmacies provided usual services. MAIN MEASURES Survey instruments assessed opioid risk behavior; hazardous drinking; tobacco, cannabis, and other drug use; and knowledge. Naloxone dispensings and opioid dose were evaluated using pharmacy data among pharmacy patients and survey participants. Intention-to-treat analyses were conducted using generalized linear mixed models accounting for clustering at the pharmacy level. KEY RESULTS Opioid risk behavior did not differ by trial group (P=0.52; 8-month vs. baseline adjusted risk ratio [ARR] 1.07; 95% CI 0.78, 1.47). Compared with usual care pharmacies, naloxone dispensings were higher in intervention pharmacies (ARR 3.38; 95% CI 2.21, 5.15) and participant knowledge increased (P=0.02; 8-month vs. baseline adjusted mean difference 1.05; 95% CI 0.06, 2.04). There was no difference in other substance use by the trial group. CONCLUSION Co-dispensing naloxone with opioids effectively increased naloxone receipt and knowledge but did not increase self-reported risk behavior. TRIAL REGISTRATION Registered at ClinicalTrials.gov ; Identifier: NCT03337100.
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Affiliation(s)
- Ingrid A Binswanger
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA.
- Colorado Permanente Medical Group, Aurora, CO, USA.
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
- Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
| | - Deborah Rinehart
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA
- Denver Health, Center for Health Systems Research, Office of Research, Denver Health and Hospital Authority, Denver, CO, USA
| | - Shane R Mueller
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Komal J Narwaney
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
| | - Melanie Stowell
- Denver Health, Center for Health Systems Research, Office of Research, Denver Health and Hospital Authority, Denver, CO, USA
| | - Nicole Wagner
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Stan Xu
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Rebecca Hanratty
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Medicine, Denver Health, Denver, CO, USA
| | - Josh Blum
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Medicine, Denver Health, Denver, CO, USA
| | - Kevin McVaney
- Department of Medicine, Denver Health, Denver, CO, USA
| | - Jason M Glanz
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO, USA
- Colorado School of Public Health, Aurora, CO, USA
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Khalid L, Roth S, Zhang C, Burkenroad A, Carrozzi G, Starrels JL. Guideline adherence and reasons for recommending dose reduction in a primary care-based opioid management clinic. J Opioid Manag 2021; 17:481-488. [PMID: 34904696 PMCID: PMC9885983 DOI: 10.5055/jom.2021.0682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND To provide Centers for Disease Control and Prevention (CDC) guideline-recommended practices for patients on long-term opioid therapy (LTOT) including individualized decisions about opioid dose reduction, we developed the Power Over Pain (POP) Clinic. OBJECTIVE To describe frequency and reasons for opioid dose reduction and pre-post adherence to CDC guideline-recommended practices. DESIGN Retrospective chart review with qualitative and pre-post analysis. PATIENTS AND SETTING Patients at an urban internal medicine teaching practice-prescribed LTOT were seen at POP Clinic at least once. METHODS Opioid dose reduction was defined by reduction in morphine-equivalent daily dose (MEDD) at 6 and 12 months after the first POP Clinic visit compared to baseline using paired t-tests. Among patients with a dose reduction, reasons documented in POP Clinic notes were qualitatively examined. Dichotomous measures of receiving four CDC guideline-recommended practices (controlled substance agreement [CSA], urine drug testing [UDT], prescription monitoring program review, and naloxone dispensing) at baseline versus 6 and 12 months were compared using McNemar's tests. RESULTS Of the 70 patients, most were female (66 percent) and Hispanic (54 percent). Forty-three patients (61 percent) had an opioid dose reduction in 12 months after the first POP Clinic visit. The most frequent reason was low or unclear benefit of continuing the current dose (49 percent). Mean MEDD was reduced from 69 mg to 57 mg at 6 months (p < 0.01) and to 56 mg at 12 months (p < 0.01). Completing a CSA, UDT, and naloxone distribution increased at 6 and 12 months (p < 0.01). CONCLUSIONS Individualized risk assessment in a primary care-based opioid management clinic is feasible and can result in opioid dose reduction and guideline adherence.
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Affiliation(s)
- Laila Khalid
- Montefiore Medical Center and Albert Einstein College of Medicine
| | - Serena Roth
- Montefiore Medical Center and Albert Einstein College of Medicine
| | - Chenshu Zhang
- Montefiore Medical Center and Albert Einstein College of Medicine
| | | | - Gianni Carrozzi
- Montefiore Medical Center and Albert Einstein College of Medicine
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Gerber TC. Growing Up Fast! Mayo Clin Proc Innov Qual Outcomes 2019; 3:381-383. [PMID: 31993557 PMCID: PMC6978600 DOI: 10.1016/j.mayocpiqo.2019.10.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Thomas C. Gerber
- Correspondence: Address to Thomas C. Gerber, MD, PhD, Mayo Clinic, 200 First St SW, Rochester, MN 55905. @tcgmd61
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