Purpose <p>The objective of the current study was to determine the degree to which individual prognostic factors obtained within the first 3–4&#xa0;weeks of the initiation of a work-related back injury claim can predict claim cost and claim duration.</p> Methods <p>Prognostic factor data and outcome data regarding claim cost and duration were obtained from back injury claimants via an online questionnaire and the local workers’ compensation board. Regression models were used to determine which of the factors were best able to predict claim cost, claim duration, and chronic work disability.</p> Results <p>Age, disability, and an accommodation and/or early return-to-work program being offered were included in the three final regression models and were therefore deemed to be best able to predict all three outcomes. Recovery expectations was also included in the final regression model for claim duration and is therefore able to assist in the prediction of this outcome.</p> Conclusion <p>The regression models produced in the current study could be used to formulate equations to estimate claim cost and duration, thereby allowing insurers to identify “high-risk claims” early in the claim process and facilitate more targeted interventions in such cases. As well, whether an accommodation and/or early return-to-work program is offered is highlighted as a modifiable risk factor that could be used by insurers, employers, and workers to reduce claim cost and claim duration.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Early Prognostic Factors for Claim Cost and Claim Duration Following a Work-Related Back Injury in Saskatchewan, Canada

  • Paul Bruno,
  • Steven Passmore

摘要

Purpose

The objective of the current study was to determine the degree to which individual prognostic factors obtained within the first 3–4 weeks of the initiation of a work-related back injury claim can predict claim cost and claim duration.

Methods

Prognostic factor data and outcome data regarding claim cost and duration were obtained from back injury claimants via an online questionnaire and the local workers’ compensation board. Regression models were used to determine which of the factors were best able to predict claim cost, claim duration, and chronic work disability.

Results

Age, disability, and an accommodation and/or early return-to-work program being offered were included in the three final regression models and were therefore deemed to be best able to predict all three outcomes. Recovery expectations was also included in the final regression model for claim duration and is therefore able to assist in the prediction of this outcome.

Conclusion

The regression models produced in the current study could be used to formulate equations to estimate claim cost and duration, thereby allowing insurers to identify “high-risk claims” early in the claim process and facilitate more targeted interventions in such cases. As well, whether an accommodation and/or early return-to-work program is offered is highlighted as a modifiable risk factor that could be used by insurers, employers, and workers to reduce claim cost and claim duration.