Literature DB >> 31504460

Utility of catastrophizing, body symptom diagram score and history of opioid use to predict future health care utilization after a primary care visit for musculoskeletal pain.

Daniel I Rhon1,2, Trevor A Lentz2, Steven Z George2,3.   

Abstract

BACKGROUND: Self-report information about pain and pain beliefs are often collected during initial consultation for musculoskeletal pain. These data may provide utility beyond the initial encounter, helping provide further insight into prognosis and long-term interactions of the patient with the health system.
OBJECTIVE: The aim of this study was to determine if pain catastrophizing and pain-related body symptoms can predict future health care utilization.
METHODS: This was a longitudinal cohort study. Baseline data were collected after receiving initial care for a musculoskeletal disorder in a multidisciplinary clinic within a large military hospital. Subjects completed the Pain Catastrophizing Scale, a region-specific disability measure, numeric pain rating scale and a body symptom diagram. Health care utilization data for 1 year prior and after the visit were extracted from the Military Health System Data Repository. Multivariable regression models appropriate for skewed and count data were developed to predict (i) musculoskeletal-specific medical visits, (ii) 12-month opioid use, (iii) musculoskeletal-specific medical costs and (iv) total medical costs. We investigated whether a pain catastrophizing × body symptom diagram interaction improved prediction, and developed separate models for opioid-naïve individuals and those with a history of opioid use in an exploratory analysis.
RESULTS: Pain catastrophizing but not body symptom diagram was a significant predictor of musculoskeletal visits, musculoskeletal costs and total medical costs. Exploratory analyses suggest these relationships are most robust for patients with a history of opioid use.
CONCLUSIONS: Pain catastrophizing can identify risk of high health care utilization and costs, even after controlling for common clinical variables. Addressing pain catastrophizing in the primary care setting may help to mitigate future health care utilization and costs, while improving clinical outcomes. These results provide direction for future validation studies in larger and more traditional primary care settings. Published by Oxford University Press 2019.

Entities:  

Keywords:  Catastrophizing; musculoskeletal system; opioids; pain; pain management; primary health care

Mesh:

Substances:

Year:  2020        PMID: 31504460      PMCID: PMC7456974          DOI: 10.1093/fampra/cmz046

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  29 in total

1.  Perioperative Opioid Analgesics and Hip Arthroscopy: Trends, Risk Factors for Prolonged Use, and Complications.

Authors:  Victor Anciano Granadillo; Jourdan M Cancienne; F Winston Gwathmey; Brian C Werner
Journal:  Arthroscopy       Date:  2018-05-03       Impact factor: 4.772

Review 2.  Brain changes associated with cognitive and emotional factors in chronic pain: A systematic review.

Authors:  A Malfliet; I Coppieters; P Van Wilgen; J Kregel; R De Pauw; M Dolphens; K Ickmans
Journal:  Eur J Pain       Date:  2017-02-01       Impact factor: 3.931

3.  Pain Catastrophizing Moderates Relationships between Pain Intensity and Opioid Prescription: Nonlinear Sex Differences Revealed Using a Learning Health System.

Authors:  Yasamin Sharifzadeh; Ming-Chih Kao; John A Sturgeon; Thomas J Rico; Sean Mackey; Beth D Darnall
Journal:  Anesthesiology       Date:  2017-07       Impact factor: 7.892

4.  Sleep, Pain Catastrophizing, and Central Sensitization in Knee Osteoarthritis Patients With and Without Insomnia.

Authors:  Claudia M Campbell; Luis F Buenaver; Patrick Finan; Sara C Bounds; Mary Redding; Lea McCauley; Mercedes Robinson; Robert R Edwards; Michael T Smith
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-10       Impact factor: 4.794

Review 5.  Classification of sleep disorders.

Authors:  Michael J Thorpy
Journal:  Neurotherapeutics       Date:  2012-10       Impact factor: 7.620

6.  Soldier Readiness Processing: Time for a New Paradigm in Managing Musculoskeletal Injuries After Deployment?

Authors:  Daniel I Rhon; Kerrie J Golden; Amy J Trevino; Brian S Hatler
Journal:  Mil Med       Date:  2017-03       Impact factor: 1.437

7.  Chronic Widespread Pain Drawn on a Body Diagram is a Screening Tool for Increased Pain Sensitization, Psycho-Social Load, and Utilization of Pain Management Strategies.

Authors:  Eric J Visser; Jonathan Ramachenderan; Stephanie J Davies; Richard Parsons
Journal:  Pain Pract       Date:  2014-12-03       Impact factor: 3.183

8.  Factor structure, reliability, and validity of the Pain Catastrophizing Scale.

Authors:  A Osman; F X Barrios; B A Kopper; W Hauptmann; J Jones; E O'Neill
Journal:  J Behav Med       Date:  1997-12

9.  Reducing Health Care Costs Through Patient Targeting: Risk Adjustment Modeling to Predict Patients Remaining High Cost.

Authors:  Jonathan Wrathall; Tom Belnap
Journal:  EGEMS (Wash DC)       Date:  2017-04-20

10.  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
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