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271 Health-related life quality 24 months after mild to moderate road traffic injury
  1. Annette Kifley,
  2. Ian Cameron
  1. John Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney and Northern Sydney Local Health District, Sydney, Australia


Background/Aims Impacts of mild to moderate road traffic injury have often been underestimated. Few existing studies involve a wide spectrum of individuals with predominantly mild to moderate road traffic injuries and examine long-term outcomes after accounting for a broad range of contributing, confounding and compensation-related factors. This study examines 24-month health-related quality of life (QoL) outcomes in this setting.

Methods The Factors Influencing Social and Health Outcomes (FISH) study involved 2019 participants with non-catastrophic road traffic injury in Australia, using an inception cohort design with follow up at 6, 12 and 24 months. Data collection included preinjury, crash, injury, compensation-related factors, baseline physical and psychological status, and the EQ-5D-3L health-related QoL questionnaire before and after injury at baseline, 6, 12 and 24 months.

Results Long-term problems with pain, anxiety or depression and usual activities were common. Among participants without a problem pre-injury, 37% still reported pain, 28% reported anxiety/depression and 28% reported problems with usual activities after 24 months. Overall, most participants with long-term issues did not have the problem before injury. The strongest and/or most consistent preinjury or early post-injury explanatory factors for long-term QoL outcomes included baseline psychological status and recovery expectations, claimant status, measures of injury severity, involvement of spine, back or neck and pre-injury comorbidities.

Conclusions Recognition of a substantial potential for chronic problems after mild to moderate road traffic injury is essential to ensure that clinical management approaches and compensation schemes anticipate, minimize and address long-term problems, and detect potentially modifiable early targets for intervention.

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