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Psychosocial predictors and correlates for chronic post-surgical pain (CPSP) – A systematic review
Abstract Chronic post-surgical pain (CPSP) is a serious problem. Incidence as high as 50% has been reported, depending on type of surgery undergone. Because the etiology of chronic pain is grounded in the bio-psychosocial model, physical, psychological, and social factors are implicated in the devel...
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Published in: | European journal of pain 2009-08, Vol.13 (7), p.719-730 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Abstract Chronic post-surgical pain (CPSP) is a serious problem. Incidence as high as 50% has been reported, depending on type of surgery undergone. Because the etiology of chronic pain is grounded in the bio-psychosocial model, physical, psychological, and social factors are implicated in the development of CPSP. Biomedical factors such as pre-operative pain, severe acute post-operative pain, modes of anesthesia, and surgical approaches have been extensively examined, therefore this systematic review focuses on psychosocial elements. A systematic search was performed using the PubMed, PsychINFO, Embase, and Cochrane Databases. Fifty relevant publications were selected from this search, in which psychosocial predictors for and correlates to CPSP were identified. The level of evidence was assessed for each study, and corresponding score points were awarded for ease of comparison. The grade of association with CPSP for each predictor/correlate was then determined. Depression, psychological vulnerability, stress, and late return to work showed likely correlation with CPSP (grade of association = 1). Other factors were determined to have either unlikely (grade of association = 3) or inconclusive (grade of association = 2) correlations. In addition, results were examined in light of the type of surgery undergone. This review is intended as a first step to develop an instrument for identifying patients at high risk for CPSP, to optimize clinical pain management. |
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ISSN: | 1090-3801 1532-2149 |
DOI: | 10.1016/j.ejpain.2008.07.015 |