Prognostic role of demographic, injury and claim factors in disabling pain and mental health conditions 12 months after compensable injury

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Abstract

Identifying who might develop disabling pain or poor mental health after injury is a high priority so that healthcare providers can provide targeted preventive interventions. This retrospective cohort study aimed to identify predictors of disabling pain or probable mental health conditions at 12 months post-injury. Participants were recruited 12-months after admission to a major trauma service for a compensable transport or workplace injury (n = 157). Injury, compensation claim, health services and medication information were obtained from the Victorian Orthopaedic Trauma Outcome Registry, Victorian State Trauma Registry and Compensation Research Database. Participants completed questionnaires about pain, and mental health (anxiety, depression, posttraumatic stress disorder) at 12 months post-injury. One third had disabling pain, one third had at least one probable mental health condition and more than one in five had both disabling pain and a mental health condition at 12 months post-injury. Multivariable logistic regression found mental health treatment 3–6 months post-injury, persistent work disability and opioid use at 6–12 months predicted disabling pain at 12 months post-injury. The presence of opioid use at 3–6 months, work disability and psychotropic medications at 6–12 months predicted a mental health condition at 12 months post-injury. These factors could be used to identify at risk of developing disabling pain who could benefit from timely interventions to better manage both pain and mental health post-injury. Implications for healthcare and compensation system are discussed.

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APA

Nguyen, T. L., Baker, K. S., Ioannou, L., Hassani-Mahmooei, B., Gibson, S. J., Collie, A., … Giummarra, M. J. (2020). Prognostic role of demographic, injury and claim factors in disabling pain and mental health conditions 12 months after compensable injury. International Journal of Environmental Research and Public Health, 17(19), 1–24. https://doi.org/10.3390/ijerph17197320

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