Assessing the use of a clinical decision support tool for pain management in primary care

Author:

Apathy Nate C123ORCID,Sanner Lindsey2,Adams Meredith C B4ORCID,Mamlin Burke W356,Grout Randall W378,Fortin Saura9,Hillstrom Jennifer10,Saha Amit4,Teal Evgenia11,Vest Joshua R23ORCID,Menachemi Nir23,Hurley Robert W4,Harle Christopher A312ORCID,Mazurenko Olena2ORCID

Affiliation:

1. Leonard Davis Institute of Health Economics, University of Pennsylvania Perelman School of Medicine , Philadelphia, Pennsylvania, USA

2. Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health , Indianapolis, Indiana, USA

3. Clem McDonald Center for Biomedical Informatics, Regenstrief Institute , Indianapolis, Indiana, USA

4. Anesthesiology, Wake Forest University School of Medicine , Winston-Salem, North Carolina, USA

5. Internal Medicine, Eskenazi Health , Indianapolis, Indiana, USA

6. Department of Clinical Medicine, Indiana University School of Medicine , Indianapolis, Indiana, USA

7. Department of Pediatrics, Indiana University School of Medicine , Indianapolis, Indiana, USA

8. Informatics, Eskenazi Health , Indianapolis, Indiana, USA

9. Primary Care, Eskenazi Health , Indianapolis, Indiana, USA

10. IS Ambulatory & Research Solutions, Eskenazi Health , Indianapolis, Indiana, USA

11. Data Core, Regenstrief Institute , Indianapolis, Indiana, USA

12. Department of Health Outcomes and Biomedical Informatics, University of Florida , Gainesville, Florida, USA

Abstract

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.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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