Walpitage Dammika L, Garcia Amy, Harper Ellen, Sharma Neena K, Waitman Lemuel R
Division of Medical Informatics, Department of Internal Medicine.
School of Nursing.
AMIA Annu Symp Proc. 2020 Mar 4;2019:883-892. eCollection 2019.
Modeling variance in patient outcomes using medical claims and other forms of aggregated administrative data may ignore significant contributions associated with providers who are not recorded in billing transactions. We examined the association between interdisciplinary provider factors and length of stay (LOS) for 1,099 lumbar spine surgery patients. Interdisciplinary provider "dose" (number of providers/case), "workload" (care of other patients), and "activity" factors were defined and generated. Hierarchical Regression models were used to test the impact of these provider factors controlling for the effect of socio-demographic and clinical factors. Interdisciplinary provider factors explained 12% of additional variance in LOS. EHR-based interdisciplinary care team representations hold promise in contributing to our understanding of health care delivery and quality. interdisciplinary care, nursing documentation, workload, length of stay, electronic health records (EHR).
使用医疗理赔数据和其他形式的汇总管理数据对患者预后的差异进行建模，可能会忽略与未记录在计费交易中的医疗服务提供者相关的重大贡献。我们研究了1099例腰椎手术患者的跨学科医疗服务提供者因素与住院时间（LOS）之间的关联。定义并生成了跨学科医疗服务提供者的“剂量”（每个病例的医疗服务提供者数量）、“工作量”（对其他患者的护理）和“活动”因素。使用分层回归模型来测试这些医疗服务提供者因素在控制社会人口统计学和临床因素影响方面的作用。跨学科医疗服务提供者因素解释了住院时间额外12%的差异。基于电子健康记录（EHR）的跨学科护理团队表现有望有助于我们理解医疗服务的提供和质量。跨学科护理、护理记录、工作量、住院时间、电子健康记录（EHR）。
