Psychological Constructs From the Fear Avoidance Model and Beyond as Predictors for Persisting Symptoms After Concussion: An Integrative Review.

OBJECTIVES: To 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), develop a comprehensive understanding of psychological factors that have been identified as predictors of clinical outcomes for PSaC, and 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. Gray literature, with the exception of doctoral dissertations, was excluded. STUDY SELECTION: We included studies in the English language consisting of human participants aged ≥18 years. Articles must have included both outcomes pertaining to PSaC (≥3mo after 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, and avoidance), whereas other psychological factors were studied more extensively (anxiety and 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.

Validation of the Keele STarT MSK Tool for Patients With Musculoskeletal Pain in United States-based Outpatient Physical Therapy Settings.

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.

PROTOCOL: Fear avoidance model psychological factors as predictors for persistent post-concussion clinical outcomes: An integrative review.

Background: Persisting symptoms after concussion (PSaC) include physical, cognitive, and psychological symptoms which contribute to rehabilitation challenges. Previous research has not thoroughly investigated the association between PSaC and pain-related psychological factors. Therefore, there is an opportunity to use current pain models, such as the Fear Avoidance Model (FAM), as a framework to explore these relationships. The goals of this integrative review are to (1) identify and describe range of evidence that explores relationships between psychological factors and clinical outcomes in patients with PSaC, and (2) develop a comprehensive understanding of FAM-specific psychological factors that have been identified as potential predictors of clinical outcomes in patients with PSaC. Methods: This review will be based on principles and stages of an integrative review which will allow for inclusion of diverse methodologies: (1) problem formulation, (2) literature search, (3) data evaluation, (4) data analysis, and (5) presentation. Methods for reporting this review will be informed by the 2020 PRISMA guidelines for systematic reviews. Discussion: The findings from this integrative review will inform healthcare professionals working in post-concussion rehabilitation settings regarding relationships between FAM psychological factors and PSaC-an area that until recently has not been thoroughly explored. Additionally, this review will inform the development of other reviews and clinical studies to further investigate relationships between FAM psychological factors and PSaC. Integrative Review Registration: OSF DOI 10.17605/OSF.IO/CNGPW.

Postconcussion Symptom Catastrophizing Scale: Preliminary Reliability and Validity Analysis of Cross-sectional Data.

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.