A Debiasing Checklist Has the Potential to Improve Efficiency, Effectiveness, and Outcomes in Claims of Work Injury.

Rafael Cordero, Haley Ponce, David Ring, Melissa Tonn, Sina Ramtin
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Abstract

Objective: The aim of the study was to identify the most frequent deviations and factors associated with the number of deviations from a work injury debiasing checklist among claims referred for peer review.

Methods: We retrospectively reviewed 141 work injury claims sent to a musculoskeletal specialist for additional scrutiny and counted deviations from a checklist developed to catch common pitfalls in evaluation and treatment.

Results: Nearly all claims had a deviation (99%) including mislabeling of noninjury pathophysiology as an injury (92%), overlooking mental health (91%), and work restrictions in the absence of risk or incapacity (91%). There were no associations between the number of deviations from the checklist and any patient or clinician factors.

Conclusions: A debiasing checklist has potential to help clinicians avoid common pitfalls in the care of claims of work injury.

消除偏见清单有可能提高工伤索赔的效率、有效性和结果。
目的:确定最常见的偏差和因素与偏差的数量从工伤消除清单中提交同行评审索赔。方法:我们回顾性地审查了141份工伤索赔,这些索赔被发送给肌肉骨骼专家进行额外的审查,并计算了与评估和治疗中常见缺陷的检查表的偏差。结果:几乎所有的索赔都有偏差(99%),包括错误地将非损伤病理生理标记为损伤(92%),忽视心理健康(91%),以及在没有风险或丧失能力的情况下限制工作(91%)。与检查表偏差的数量与任何患者或临床因素之间没有关联。结论:一个消除偏见的清单有可能帮助临床医生避免常见的陷阱在护理索赔的工伤。
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