TY - JOUR
T1 - Multidimensional screening for predicting pain problems in adults
T2 - a systematic review of screening tools and validation studies
AU - Veirman, Elke
AU - Van Ryckeghem, Dimitri M.L.
AU - De Paepe, Annick
AU - Kirtley, Olivia J
AU - Crombez, Geert
N1 - Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain.
PY - 2019/12/26
Y1 - 2019/12/26
N2 - Screening tools allowing to predict poor pain outcomes are widely used. Often these screening tools contain psychosocial risk factors. This review (1) identifies multidimensional screening tools that include psychosocial risk factors for the development or maintenance of pain, pain-related distress, and pain-related disability across pain problems in adults, (2) evaluates the quality of the validation studies using Prediction model Risk Of Bias ASsessment Tool (PROBAST), and (3) synthesizes methodological concerns. We identified 32 articles, across 42 study samples, validating 7 screening tools. All tools were developed in the context of musculoskeletal pain, most often back pain, and aimed to predict the maintenance of pain or pain-related disability, not pain-related distress. Although more recent studies design, conduct, analyze, and report according to best practices in prognosis research, risk of bias was most often moderate. Common methodological concerns were identified, related to participant selection (eg, mixed populations), predictors (eg, predictors were administered differently to predictors in the development study), outcomes (eg, overlap between predictors and outcomes), sample size and participant flow (eg, unknown or inappropriate handling of missing data), and analysis (eg, wide variety of performance measures). Recommendations for future research are provided.
AB - Screening tools allowing to predict poor pain outcomes are widely used. Often these screening tools contain psychosocial risk factors. This review (1) identifies multidimensional screening tools that include psychosocial risk factors for the development or maintenance of pain, pain-related distress, and pain-related disability across pain problems in adults, (2) evaluates the quality of the validation studies using Prediction model Risk Of Bias ASsessment Tool (PROBAST), and (3) synthesizes methodological concerns. We identified 32 articles, across 42 study samples, validating 7 screening tools. All tools were developed in the context of musculoskeletal pain, most often back pain, and aimed to predict the maintenance of pain or pain-related disability, not pain-related distress. Although more recent studies design, conduct, analyze, and report according to best practices in prognosis research, risk of bias was most often moderate. Common methodological concerns were identified, related to participant selection (eg, mixed populations), predictors (eg, predictors were administered differently to predictors in the development study), outcomes (eg, overlap between predictors and outcomes), sample size and participant flow (eg, unknown or inappropriate handling of missing data), and analysis (eg, wide variety of performance measures). Recommendations for future research are provided.
KW - Multidimensional screening
KW - Pain
KW - Risk of bias
KW - Yellow flags
KW - INTERNATIONAL CLASSIFICATION
KW - LOW-BACK-PAIN
KW - PROGNOSTIC-FACTORS
KW - INDIVIDUAL PROGNOSIS
KW - PROSPECTIVE COHORT
KW - OREBRO MUSCULOSKELETAL PAIN
KW - PRIMARY-CARE
KW - PSYCHOSOCIAL RISK-FACTORS
KW - PHYSICAL-THERAPY
KW - FEAR-AVOIDANCE MODEL
U2 - 10.1097/PR9.0000000000000775
DO - 10.1097/PR9.0000000000000775
M3 - (Systematic) Review article
C2 - 31875182
SN - 2471-2531
VL - 4
JO - Pain reports
JF - Pain reports
IS - 5
M1 - e775
ER -