Highlights This study developed a tool to identify risk of poor recovery after road traffic crashes. The study presents an industry-specific tool to be used by injury case managers. The tool identifies risk of poor physical and mental health-related quality of life. The 8-item tool is simple and ready to be used by non-health professionals. The tool can potentially be used to guide rehabilitation processes in the future.
Abstract This study aimed to develop an industry-specific tool to identify risk of poor physical and mental recovery following minor to moderate injuries sustained in a road traffic crash (RTC). Existing tools are often designed for implementation by health professionals rather than insurer case managers who may not have a background in health. This study is a secondary analysis of a longitudinal cohort study using data collected at 2–6 months and 24 months post-RTC. Participants were claimants (n = 254; Mean age = 50 years; 65% female) with mild-moderate injuries recruited through the common-law ‘fault-based’ compulsory third party scheme in Queensland, Australia. Sociodemographic, functional and psychological health factors were collected at baseline (2–6 months post RTC) and used as potential predictors for physical and mental health-related quality of life (Short Form 36 v2) at the 2-year follow-up. The LASSO (Least Absolute Shrinkage and Selection Operator) analysis identified six disability items (from the World Health Organization Disability Assessment Schedule 2) to predict poor physical and one item to predict poor mental health-related quality of life. Logistic regressions of these items in addition to age and gender were used to develop a screening tool. Using the tool, 90% of those at risk of poor physical and 80% of those at risk of poor mental health-related quality of life were identified correctly. To conclude, this study presents an 8-item, context-specific tool to help injury managers identify individuals at risk of poor physical and mental health recovery following mild-moderate RTC-related injuries. The tool requires validation in a new cohort and confirmation of acceptability by end-users.
Identifying risk of poor physical and mental health recovery following a road traffic crash: An industry-specific screening tool
2019-08-21
Article (Journal)
Electronic Resource
English
AIS , Abbreviated Injury Scale , AUC , Area Under the Curve , CTP , Compulsory Third Party , LASSO , Least Absolute Shrinkage and Selection Operator , MAIC , Motor Accident Insurance Commission , MCS , mental component summary , OMPQ , Orebro Musculoskeletal Pain Questionnaire , OMPQ-SF , OMPQ short form , PCS , physical component summary , PTSD , post-traumatic stress disorder , ROC , receiver operator characteristics , RTC , road traffic crash , RTW , return to work , SF36 , Short Form 36 , TRIPOD , Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis , UQ SuPPORT , University of Queensland Study of Physical and Psychological Outcomes , WAD , whiplash associated disorders , WHODAS-II , World Health Organization Disability Assessment Schedule 2 , Traffic accidents , Recovery of function , Mental Health Recovery , Decision support techniques
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