Literature DB >> 29180559

Predicting Risk for Opioid Misuse in Chronic Pain with a Single-Item Measure of Catastrophic Thinking.

Julie Lutz1, Richard Gross2, Dustin Long1, Stephanie Cox1.   

Abstract

BACKGROUND: Chronic pain patients are frequently treated with opioid medications in primary care, where brief measures of risk for opioid misuse have great utility. Catastrophic thinking is a clinically relevant and potentially modifiable factor associated with several chronic pain outcomes, including risk for opioid misuse. This study examined the utility of a single-item measure of pain-related catastrophizing in predicting risk of opioid misuse.
METHOD: 119 chronic pain patients completed the Coping Strategies Questionnaire catastrophizing item, Pain Catastrophizing Scale (PCS), and Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R). Area under the receiver operator curve (AUC) and linear regression were used to examine predictive utility of the catastrophizing item.
RESULTS: The catastrophizing item demonstrated a fair ability to discriminate those with high risk for opioid misuse on the SOAPP-R (AUC = 0.74), whereas the PCS demonstrated good discrimination (AUC = 0.85). The single item alone accounted for 30% of variance in SOAPP-R scores.
CONCLUSION: A single question assessing pain catastrophizing has utility for predicting risk for opioid misuse. In addition, it provides the primary care provider with information on a potentially modifiable risk factor that can be addressed within the context of a brief clinical visit. © Copyright 2017 by the American Board of Family Medicine.

Entities:  

Keywords:  Behavioral Medicine; Mental Health; Pain Management; Substance Abuse

Mesh:

Substances:

Year:  2017        PMID: 29180559     DOI: 10.3122/jabfm.2017.06.170124

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  5 in total

1.  Electronic Health Record-Based Screening for Substance Abuse.

Authors:  Farrokh Alemi; Sanja Avramovic; Mark D Schwartz
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2.  User-Centered Development of a Mobile App for Biopsychosocial Pain Assessment in Adults: Usability, Reliability, and Validity Study.

Authors:  Filipa Lopes; Mário Rodrigues; Anabela G Silva
Journal:  JMIR Mhealth Uhealth       Date:  2021-05-14       Impact factor: 4.773

3.  Emotional distress and pain catastrophizing predict cue-elicited opioid craving among chronic pain patients on long-term opioid therapy.

Authors:  Anna Parisi; Hannah Louise Landicho; Justin Hudak; Siri Leknes; Brett Froeliger; Eric L Garland
Journal:  Drug Alcohol Depend       Date:  2022-02-24       Impact factor: 4.852

4.  Increased Experimental Pain Sensitivity in Chronic Pain Patients Who Developed Opioid Use Disorder.

Authors:  Peggy A Compton; Thomas E Wasser; Martin D Cheatle
Journal:  Clin J Pain       Date:  2020-09       Impact factor: 3.423

5.  A medial prefrontal cortex-nucleus acumens corticotropin-releasing factor circuitry for neuropathic pain-increased susceptibility to opioid reward.

Authors:  Yuanzhong Kai; Yanhua Li; Tingting Sun; Weiwei Yin; Yu Mao; Jie Li; Wen Xie; Shi Chen; Likui Wang; Juan Li; Zhi Zhang; Wenjuan Tao
Journal:  Transl Psychiatry       Date:  2018-05-21       Impact factor: 6.222

  5 in total

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