Department of Social and Preventive Medicine, Université Laval, Québec, Canada; Axe Santé des Populations et Pratiques Optimales en Santé (Population Health and Optimal Health Practices Research Unit), Traumatologie - Urgence - Soins intensifs (Trauma - Emergency - Critical Care Medicine), Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec, Canada.
Department of Social and Preventive Medicine, Université Laval, Québec, Canada; Axe Santé des Populations et Pratiques Optimales en Santé (Population Health and Optimal Health Practices Research Unit), Traumatologie - Urgence - Soins intensifs (Trauma - Emergency - Critical Care Medicine), Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec, Canada.
Value Health. 2021 Apr;24(4):530-538. doi: 10.1016/j.jval.2020.11.011. Epub 2021 Jan 6.
To develop a hospital indicator of resource use for injury admissions.
We focused on resource use for acute injury care and therefore adopted a hospital perspective. We included patients ≥16 years old with an Injury Severity Score >9 admitted to any of the 57 trauma centers of an inclusive Canadian trauma system from 2014 to 2018. We extracted data from the trauma registry and hospital financial reports and estimated resource use with activity-based costing. We developed risk-adjustment models by trauma center designation level (I/II and III/IV) for the whole sample, traumatic brain injuries, thoraco-abdominal injuries, orthopedic injuries, and patients ≥65 years old. Candidate variables were selected using bootstrap resampling. We performed benchmarking by comparing the adjusted mean cost in each center, obtained using shrinkage estimates, to the provincial mean.
We included 38 713 patients. The models explained between 12% and 36% (optimism-corrected r) of the variation in resource use. In the whole sample and in all subgroups, we identified centers with higher- or lower-than-expected resource use across level I/II and III/IV centers.
We propose an algorithm to produce the indicator using data routinely collected in trauma registries to prompt targeted exploration of potential areas for improvement in resource use for injury admissions. The r of our models suggest that between 64% and 88% of the variation in resource use for injury care is dictated by factors other than patient baseline risk.
开发一种用于伤害入院的资源利用医院指标。
我们专注于急性伤害护理的资源利用,因此采用了医院视角。我们纳入了 2014 年至 2018 年间加拿大包容性创伤系统的 57 个创伤中心中年龄≥16 岁、损伤严重程度评分(Injury Severity Score)>9 分的所有患者。我们从创伤登记处和医院财务报告中提取数据,并采用基于活动的成本核算来估计资源利用。我们通过创伤中心指定级别(I/II 和 III/IV)为整个样本、创伤性脑损伤、胸腹损伤、骨科损伤和年龄≥65 岁的患者开发了风险调整模型。候选变量使用 bootstrap 重采样进行选择。我们通过将每个中心使用收缩估计获得的调整后平均成本与省级平均值进行比较来进行基准测试。
我们纳入了 38713 名患者。模型解释了资源利用变化的 12%至 36%(校正后的 r)。在整个样本和所有亚组中,我们确定了一级/二级和三级/四级中心中资源使用高于或低于预期的中心。
我们提出了一种使用创伤登记处常规收集的数据生成指标的算法,以提示有针对性地探索伤害入院资源利用的潜在改进领域。我们模型的 r 表明,伤害护理资源利用的变化中有 64%至 88%是由患者基线风险以外的因素决定的。