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Research ArticleOriginal Research

Factors That Influence Changes to Existing Chronic Pain Management Plans

Julie Diiulio, Laura G. Militello, Barbara T. Andraka-Christou, Robert L. Cook, Robert W. Hurley, Sarah M. Downs, Shilo Anders, Burke W. Mamlin, Elizabeth C. Danielson and Christopher A. Harle
The Journal of the American Board of Family Medicine January 2020, 33 (1) 42-50; DOI: https://doi.org/10.3122/jabfm.2020.01.190284
Julie Diiulio
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
MS
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Laura G. Militello
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
MA
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Barbara T. Andraka-Christou
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
JD, PhD
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Robert L. Cook
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
MD, MPH
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Robert W. Hurley
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
MD, PhD
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Sarah M. Downs
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
MPH
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Shilo Anders
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
PhD
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Burke W. Mamlin
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
MD
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Elizabeth C. Danielson
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
MA
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Christopher A. Harle
From Applied Decision Science, LLC, Dayton, OH (JD, LGM); Department of Health Management & Informatics, University of Central Florida, Orlando, FL (BTAC); University of Florida Gainesville, FL (RLC); Department of Anesthesiology and Public Health Science, Wake Forest University School of Medicine, Winston Salem, NC (RWH); Department of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN (SMD, ECD, CAH); Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN (SA); Department of Internal Medicine, Indiana University School of Medicine, Indianapolis, IN (BWM); Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN (BWM, CAH).
PhD
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Abstract

Background: The objective of this qualitative study is to better understand primary care clinician decision making for managing chronic pain. Specifically, we focus on the factors that influence changes to existing chronic pain management plans. Limitations in guidelines and training leave clinicians to use their own judgment and experience in managing the complexities associated with treating patients with chronic pain. This study provides insight into those judgments based on clinicians' first-person accounts. Insights gleaned from this study could inspire innovations aimed at supporting primary care clinicians (PCCs) in managing chronic pain.

Methods: We conducted 89 interviews with PCCs to obtain their first-person perspective of the factors that influenced changes in treatment plans for their patients. Interview transcripts were analyzed thematically by a multidisciplinary team of clinicians, cognitive scientists, and public health researchers.

Results: Seven themes emerged through our analysis of factors that influenced a change in chronic pain management: 1) change in patient condition; 2) outcomes related to treatment; 3) nonadherent patient behavior; 4) insurance constraints; 5) change in guidelines, laws, or policies; 6) approaches to new patients; and 7) specialist recommendations.

Conclusions: Our analysis sheds light on the factors that lead PCCs to change treatment plans for patients with chronic pain. An understanding of these factors can inform the types of innovations needed to support PCCs in providing chronic pain care. We highlight key insights from our analysis and offer ideas for potential practice innovations.

  • Chronic Pain
  • Clinical Decision Making
  • Opioids
  • Pain Management
  • Primary Health Care
  • Qualitative Research
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The Journal of the American Board of Family     Medicine: 33 (1)
The Journal of the American Board of Family Medicine
Vol. 33, Issue 1
January-February 2020
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Factors That Influence Changes to Existing Chronic Pain Management Plans
Julie Diiulio, Laura G. Militello, Barbara T. Andraka-Christou, Robert L. Cook, Robert W. Hurley, Sarah M. Downs, Shilo Anders, Burke W. Mamlin, Elizabeth C. Danielson, Christopher A. Harle
The Journal of the American Board of Family Medicine Jan 2020, 33 (1) 42-50; DOI: 10.3122/jabfm.2020.01.190284

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Factors That Influence Changes to Existing Chronic Pain Management Plans
Julie Diiulio, Laura G. Militello, Barbara T. Andraka-Christou, Robert L. Cook, Robert W. Hurley, Sarah M. Downs, Shilo Anders, Burke W. Mamlin, Elizabeth C. Danielson, Christopher A. Harle
The Journal of the American Board of Family Medicine Jan 2020, 33 (1) 42-50; DOI: 10.3122/jabfm.2020.01.190284
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Keywords

  • Chronic Pain
  • Clinical Decision Making
  • Opioids
  • Pain Management
  • Primary Health Care
  • Qualitative Research

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