ABSTRACT
OBJECTIVE: To 1) identify the range of evidence for relationships between psychological factors using the Fear Avoidance Model (FAM) as a guiding framework and relevant clinical outcomes in adult patients with persisting symptoms after concussion (PSaC), 2) develop a comprehensive understanding of psychological factors that have been identified as predictors of clinical outcomes for PSaC, and 3) contribute to the theoretical framework of the FAM for PSaC. DATA SOURCES: Six databases (CINAHL, Embase, PsycINFO, PubMed, SportDiscus, and Web of Science) were searched by a librarian for empirical and theoretical publications, and experimental and quasi experimental study designs. The literature search was not limited by publication date restrictions. Grey literature, with the exception of doctoral dissertations, was excluded. STUDY SELECTION: Studies in the English language consisting of human participants 18 years and older. Articles must have included both outcomes pertaining to PSaC (greater than or equal to three months post-injury) and psychological constructs. DATA EXTRACTION: One reviewer extracted data from the resulting studies using a standardized data extraction form designed for this review. Two reviewers independently assessed risk of bias using the Quality in Prognosis Studies tool. DATA SYNTHESIS: This review found numerous psychological constructs, some directly linked to the FAM, that have potential prognostic relationships with PSaC. However, research remains limited and some psychological factors central to FAM were only identified in a small number of studies (catastrophizing, cogniphobia, avoidance) while other psychological factors were studied more extensively (anxiety, depression). CONCLUSIONS: There is the need for additional evidence and this integrative review provides an adaptation of the FAM for PSaC to be used as a guiding preliminary framework for future research. Future research should aim to include psychological factors proposed in this modified FAM to fully understand PSaC.
ABSTRACT
The STarT MSK tool was developed to enable risk stratification of patients with common musculoskeletal (MSK) pain conditions and help identify individuals who may require more targeted interventions or closer monitoring in primary care settings, however, its validity in U.S.-based outpatient physical therapy settings has not been investigated. The 10-item Keele STarT MSK risk stratification tool was tested for construct (convergent and discriminant) and predictive validity using a multicenter, prospective cohort study design. Participants (n = 141) receiving physical therapy for MSK pain of the back, neck, shoulder, hip, knee, or multisite regions completed intake questionnaires including the Keele STarT MSK tool, Functional Comorbidity Index (FCI), Optimal Screening for Prediction of Referral and Outcome Review-of-Systems and Optimal Screening for Prediction of Referral and Outcome Yellow Flag tools. Pain intensity, pain interference, and health-related quality of life (Medical Outcomes Study 8-item Short-Form Health Survey (SF-8) physical [PCS] and mental [MCS] component summary scores) were measured at 2- and 6-month follow-up. Participants were classified as STarT MSK tool low (44%), medium (39%), and high (17%) risk. Follow-up rates were 70.2% (2 months) and 49.6% (6 months). For convergent validity, fair relationships were observed between the STarT MSK tool and FCI and SF-8 MCS (r = .35-.37) while moderate-to-good relationships (r = .51-.72) were observed for 7 other clinical measures. For discriminant validity, STarT MSK tool risk-dependent relationships were observed for Optimal Screening for Prediction of Referral and Outcome Review-of-Systems, Optimal Screening for Prediction of Referral and Outcome Yellow Flag, pain interference, and SF-8 PCS (low < medium < high; P < .01) and FCI, pain intensity, and SF-8 MCS (low < medium-or-high; P < .01). For predictive validity, intake STarT MSK tool scores explained additional variability in pain intensity (11.2%, 20.0%), pain interference (7.5%, 14.1%), and SF-8 PCS (8.2%, 12.8%) scores at 2 and 6 months, respectively. This study contributes to the existing literature by providing additional evidence of STarT MSK tool cross-sectional construct validity and longitudinal predictive validity. PERSPECTIVE: This study presents STarT MSK risk stratification tool validity findings from a U.S. outpatient physical therapy sample. The STarT MSK tool has the potential to help physical therapists identify individuals presenting with the most common MSK pain conditions who may require more targeted interventions or closer monitoring.
ABSTRACT
OBJECTIVE: The aim of the study was to describe cross-sectional relationships between postconcussion symptom catastrophizing and patient-level factors in a postconcussion cohort. DESIGN: This cross-sectional study was conducted in an outpatient rehabilitation hospital concussion clinic and consisted of adults undergoing a neuropsychological evaluation. Cronbach α assessed internal consistency for Post-Concussion Symptom Catastrophizing Scale total scores. Pearson r correlation coefficients assessed construct validity among emotional function measures and Post-Concussion Symptom Catastrophizing Scale total scores at initial evaluation. Hierarchical regression models were used to assess criterion validity. RESULTS: Excellent internal consistency was observed for Post-Concussion Symptom Catastrophizing Scale total scores (α = 0.953). The Post-Concussion Symptom Catastrophizing Scale was significantly correlated with cause of injury ( r = -0.223, P < 0.01), litigation consideration ( r = 0.309, P < 0.05), and history of psychiatric illness ( r = 0.198, P < 0.01). The Post-Concussion Symptom Catastrophizing Scale was significantly correlated with emotional functioning (Patient Health Questionnaire [ r = 0.600, P < 0.05]; Generalized Anxiety Disorder [ r = 0.602, P < 0.05]), symptom rating (Sports Concussion Assessment Tool [Fifth Edition, r = 0.477, P < 0.05]), and cognitive functioning (Repeatable Battery for the Assessment of Neuropsychological Status [ r = -0.238, P < 0.05]) measures. The final regression model explained 64.7% variance in Post-Concussion Symptom Catastrophizing Scale total scores and included the Generalized Anxiety Disorder ( b = 1.038, ß = 0.466, P = 0.001) as a unique predictor. CONCLUSIONS: Results indicate strong, positive relationships between anxiety and catastrophizing at initial neuropsychological evaluation in a postconcussion sample.
