Literature DB >> 31201989

Predicting Opioid Use, Increased Health Care Utilization and High Costs for Musculoskeletal Pain: What Factors Mediate Pain Intensity and Disability?

Trevor A Lentz1, Daniel I Rhon2, Steven Z George3.   

Abstract

This study determined the predictive capabilities of pain intensity and disability on health care utilization (number of condition-specific health care visits, incident, and chronic opioid use) and costs (total condition-specific and overall medical costs) in the year following an initial evaluation for musculoskeletal pain. We explored pain catastrophizing and spatial distribution of symptoms (ie, body diagram symptom score) as mediators of these relationships. Two hundred eighty-three military service members receiving initial care for a musculoskeletal injury completed a region-specific disability measure, numeric pain rating scale, Pain Catastrophizing Scale, and body pain diagram. Pain intensity predicted all outcomes, while disability predicted incident opioid use only. No mediation effects were observed for either opioid use outcome, while pain catastrophizing partially mediated the relationship between pain intensity and number of health care visits. Pain catastrophizing and spatial distribution of symptoms fully mediated the relationship between pain intensity and both cost outcomes. The mediation effects of pain catastrophizing and spatial distribution of symptoms are outcome specific, and more consistently observed for cost outcomes. Higher pain intensity may drive more condition-specific health care utilization and use of opioids, while higher catastrophizing and larger spatial distribution of symptoms may drive higher costs for services received. PERSPECTIVE: This article examines underlying characteristics that help explain relationships between pain intensity and disability, and the outcomes of health care utilization and costs. Health care systems can use these findings to refine value-based prediction models by considering factors that differentially influence outcomes for health care use and cost of services.
Copyright © 2019 United States Association for the Study of Pain, Inc. All rights reserved.

Entities:  

Keywords:  Value-based care; mediation; outcomes; psychological; rehabilitation

Mesh:

Substances:

Year:  2019        PMID: 31201989      PMCID: PMC6908782          DOI: 10.1016/j.jpain.2019.06.004

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.820


  43 in total

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2.  Noninvasive Treatments for Acute, Subacute, and Chronic Low Back Pain: A Clinical Practice Guideline From the American College of Physicians.

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Journal:  Ann Intern Med       Date:  2017-02-14       Impact factor: 25.391

3.  Prediction of Future Chronic Opioid Use Among Hospitalized Patients.

Authors:  S L Calcaterra; S Scarbro; M L Hull; A D Forber; I A Binswanger; K L Colborn
Journal:  J Gen Intern Med       Date:  2018-02-05       Impact factor: 5.128

4.  Defining risk of prescription opioid overdose: pharmacy shopping and overlapping prescriptions among long-term opioid users in medicaid.

Authors:  Zhuo Yang; Barth Wilsey; Michele Bohm; Meghan Weyrich; Kakoli Roy; Dominique Ritley; Christopher Jones; Joy Melnikow
Journal:  J Pain       Date:  2015-02-11       Impact factor: 5.820

5.  Severe Pain in Veterans: The Effect of Age and Sex, and Comparisons With the General Population.

Authors:  Richard L Nahin
Journal:  J Pain       Date:  2016-11-21       Impact factor: 5.820

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Authors:  C C Engel; M von Korff; W J Katon
Journal:  Pain       Date:  1996 May-Jun       Impact factor: 6.961

7.  Use of electronic health records for early detection of high-cost, low back pain patients.

Authors:  Daniel Dukjae Maeng; Walter F Stewart; Xiaowei Yan; Joseph A Boscarino; Jack Mardekian; James Harnett; Michael R Von Korff
Journal:  Pain Res Manag       Date:  2015-08-20       Impact factor: 3.037

8.  Prediction of healthcare utilization following an episode of physical therapy for musculoskeletal pain.

Authors:  Trevor A Lentz; Jason M Beneciuk; Steven Z George
Journal:  BMC Health Serv Res       Date:  2018-08-20       Impact factor: 2.655

9.  Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical prediction rule.

Authors:  Daniel I Rhon; Suzanne J Snodgrass; Joshua A Cleland; Charles D Sissel; Chad E Cook
Journal:  Perioper Med (Lond)       Date:  2018-11-22

10.  Independent associations of socioeconomic factors with disability and pain in adults with knee osteoarthritis.

Authors:  Rebecca J Cleveland; My-Linh N Luong; Joshua B Knight; Britta Schoster; Jordan B Renner; Joanne M Jordan; Leigh F Callahan
Journal:  BMC Musculoskelet Disord       Date:  2013-10-17       Impact factor: 2.362

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  1 in total

1.  User Engagement and Clinical Impact of the Manage My Pain App in Patients With Chronic Pain: A Real-World, Multi-site Trial.

Authors:  Anuj Bhatia; Jamal Kara; Tahir Janmohamed; Atul Prabhu; Gerald Lebovic; Joel Katz; Hance Clarke
Journal:  JMIR Mhealth Uhealth       Date:  2021-03-04       Impact factor: 4.773

  1 in total

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