Identifying risk of poor physical and mental health recovery following a road traffic crash : An industry-specific screening tool

Journal article


Smits, Esther, Brakenridge, Charlotte, Gane, Elise, Warren, Jacelle, Heron-Delaney, Michelle, Kenardy, Justin and Johnston, Venerina. (2019). Identifying risk of poor physical and mental health recovery following a road traffic crash : An industry-specific screening tool. Accident Analysis and Prevention. 132, p. 105280. https://doi.org/10.1016/j.aap.2019.105280
AuthorsSmits, Esther, Brakenridge, Charlotte, Gane, Elise, Warren, Jacelle, Heron-Delaney, Michelle, Kenardy, Justin and Johnston, Venerina
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.

Keywordstraffic accidents; recovery of function; mental health recovery; decision support techniques
Year2019
JournalAccident Analysis and Prevention
Journal citation132, p. 105280
PublisherElsevier Ltd
ISSN0001-4575
Digital Object Identifier (DOI)https://doi.org/10.1016/j.aap.2019.105280
Scopus EID2-s2.0-85071891142
Research or scholarlyResearch
Page range1-8
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online10 Sep 2019
Publication process dates
Accepted21 Aug 2019
Deposited02 Jun 2021
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