A test of the fear avoidance model to predict chronic pain outcomes in a polytrauma sample.


Journal

NeuroRehabilitation
ISSN: 1878-6448
Titre abrégé: NeuroRehabilitation
Pays: Netherlands
ID NLM: 9113791

Informations de publication

Date de publication:
2020
Historique:
pubmed: 18 7 2020
medline: 18 11 2020
entrez: 18 7 2020
Statut: ppublish

Résumé

Chronic musculoskeletal pain is a complex problem, particularly for individuals with head injury and comorbid psychiatric conditions. The Fear Avoidance Model offers one of the strongest opportunities to conceptualize comorbid traumatic injury and pain, but this model is largely untested. This study tests the Fear Avoidance Model of chronic pain using a sample from a study of polytrauma patients in a large Department of Veterans Affairs facility who participated in a federally-funded study of interdisciplinary chronic pain management. The present study comprises a secondary analysis of 93 veterans with chronic pain, head injury, posttraumatic stress symptoms and a history of persistent opioid use. Standardized measures of Fear Avoidance Model risk factors (e.g., pain catastrophizing, fear avoidance beliefs, anxiety, depression) were examined as cross-sectional predictors of pain-related disability. Secondary data analysis revealed that Fear Avoidance Model factors accounted for almost 40% of the variance in pain-related disability, with pain catastrophizing and depression demonstrating the strongest relationships with disability. A summary variable combining all four factors revealed a 6% increase in disability for each factor that was clinically significant for the sample patients. This study represents the first attempt to examine a complex, theoretical model of pain in a comorbid pain and TBI sample. Findings revealed a strong relationship between this model and pain-related disability that outperforms pain intensity ratings. This model could be used to guide better treatment for comorbid pain and TBI.

Sections du résumé

BACKGROUND BACKGROUND
Chronic musculoskeletal pain is a complex problem, particularly for individuals with head injury and comorbid psychiatric conditions. The Fear Avoidance Model offers one of the strongest opportunities to conceptualize comorbid traumatic injury and pain, but this model is largely untested.
OBJECTIVE OBJECTIVE
This study tests the Fear Avoidance Model of chronic pain using a sample from a study of polytrauma patients in a large Department of Veterans Affairs facility who participated in a federally-funded study of interdisciplinary chronic pain management.
METHODS METHODS
The present study comprises a secondary analysis of 93 veterans with chronic pain, head injury, posttraumatic stress symptoms and a history of persistent opioid use. Standardized measures of Fear Avoidance Model risk factors (e.g., pain catastrophizing, fear avoidance beliefs, anxiety, depression) were examined as cross-sectional predictors of pain-related disability.
RESULTS RESULTS
Secondary data analysis revealed that Fear Avoidance Model factors accounted for almost 40% of the variance in pain-related disability, with pain catastrophizing and depression demonstrating the strongest relationships with disability. A summary variable combining all four factors revealed a 6% increase in disability for each factor that was clinically significant for the sample patients.
CONCLUSIONS CONCLUSIONS
This study represents the first attempt to examine a complex, theoretical model of pain in a comorbid pain and TBI sample. Findings revealed a strong relationship between this model and pain-related disability that outperforms pain intensity ratings. This model could be used to guide better treatment for comorbid pain and TBI.

Identifiants

pubmed: 32675428
pii: NRE203084
doi: 10.3233/NRE-203084
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

35-43

Auteurs

Cindy McGeary (C)

Department of Psychiatry, University of Texas Health Science Center at San Antonio, USA.

Paul Nabity (P)

Department of Psychiatry, University of Texas Health Science Center at San Antonio, USA.

David Reed (D)

Department of Psychiatry, University of Texas Health Science Center at San Antonio, USA.

Briana Cobos (B)

Department of Psychiatry, University of Texas Health Science Center at San Antonio, USA.

Blessen Eapen (B)

Department of Physical Medicine and Rehabilitation, University of California, Los Angeles, USA.

Mary Jo Pugh (MJ)

Department of Medicine, University of Utah Health Sciences Center, USA.

Carlos Jaramillo (C)

Department of Rehabilitation Medicine, University of Texas Health Science Center at San Antonio, USA.

Jennifer Potter (J)

Department of Psychiatry, University of Texas Health Science Center at San Antonio, USA.

Timothy Houle (T)

Department of Anesthesia, Massachusetts General Hospital, USA.

Stacey Young-McCaughan (S)

Department of Psychiatry, University of Texas Health Science Center at San Antonio, USA.

Alan Peterson (A)

Department of Psychiatry, University of Texas Health Science Center at San Antonio, USA.

Don McGeary (D)

Department of Psychiatry, University of Texas Health Science Center at San Antonio, USA.
Department of Rehabilitation Medicine, University of Texas Health Science Center at San Antonio, USA.

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Classifications MeSH