Cutter Christina M, Tran Linda D, Wu Siqi, Urech Tracy H, Seidenfeld Justine, Kocher Keith E, Vashi Anita A
Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Department of Veterans Affairs, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Acad Emerg Med. 2023 Apr;30(4):299-309. doi: 10.1111/acem.14691. Epub 2023 Mar 21.
Research examining emergency department (ED) admission practices within the Department of Veterans Affairs (VA) is limited. This study investigates facility-level variation in risk-standardized admission rates (RSARs) for emergency care-sensitive conditions (ECSCs) among older (≥65 years) and younger (<65 years) Veterans across VA EDs.
Veterans presenting to a VA ED for an ECSC between October 1, 2016 and September 30, 2019 were identified and the 10 most common ECSCs established. ECSC-specific RSARs were calculated using hierarchical generalized linear models, adjusting for Veteran and encounter characteristics. The interquartile range ratio (IQR ratio) and coefficient of variation were measures of dispersion for each condition and were stratified by age group. Associations with facility characteristics were also examined in condition-specific multivariable models.
The overall cohort included 651,336 ED visits across 110 VA facilities for the 10 most common ECSCs-chronic obstructive pulmonary disease (COPD), heart failure, pneumonia, volume depletion, tachyarrhythmias, acute diabetes mellitus, gastrointestinal (GI) bleeding, asthma, sepsis, and myocardial infarction (MI). After adjusting for case mix, the ECSCs with the greatest variation (IQR ratio, coefficient of variation) in RSARs were asthma (1.43, 32.12), COPD (1.39, 24.64), volume depletion (1.38, 23.67), and acute diabetes mellitus (1.28, 17.52), whereas those with the least variation were MI (1.01, 0.87) and sepsis (1.02, 2.41). Condition-specific RSARs were not qualitatively different between age subgroups. Association with facility characteristics varied across ECSCs and within condition-specific age subgroups.
We identified unexplained facility-level variation in RSARs for Veterans presenting with the 10 most common ECSCs to VA EDs. The magnitude of variation did not appear to be qualitatively different between older and younger Veteran subgroups. Variation in RSARs for ECSCs may be an important target for systems-based levers to improve value in VA emergency care.
对美国退伍军人事务部(VA)急诊科收治情况的研究有限。本研究调查了VA各急诊科中年龄较大(≥65岁)和年龄较小(<65岁)退伍军人在急诊护理敏感疾病(ECSC)风险标准化收治率(RSAR)方面的机构层面差异。
确定了2016年10月1日至2019年9月30日期间因ECSC前往VA急诊科就诊的退伍军人,并确定了10种最常见的ECSC。使用分层广义线性模型计算特定ECSC的RSAR,并对退伍军人和就诊特征进行调整。四分位间距比(IQR比)和变异系数是每种疾病离散程度的度量指标,并按年龄组进行分层。还在特定疾病的多变量模型中研究了与机构特征的关联。
整个队列包括110个VA机构针对10种最常见的ECSC(慢性阻塞性肺疾病(COPD)、心力衰竭、肺炎、容量耗竭、快速性心律失常、急性糖尿病、胃肠道(GI)出血、哮喘、败血症和心肌梗死(MI))进行的651,336次急诊科就诊。在调整病例组合后,RSAR变化最大(IQR比、变异系数)的ECSC是哮喘(1.43,32.12)、COPD(1.39,24.64)、容量耗竭(1.38,23.67)和急性糖尿病(1.28,17.52),而变化最小的是MI(1.01,0.87)和败血症(1.02,2.41)。不同年龄亚组之间特定疾病的RSAR在性质上没有差异。与机构特征的关联在不同的ECSC之间以及特定疾病的年龄亚组内有所不同。
我们发现,对于前往VA急诊科就诊的患有10种最常见ECSC的退伍军人,其RSAR存在无法解释的机构层面差异。年龄较大和较小的退伍军人亚组之间,差异程度在性质上似乎没有不同。ECSC的RSAR差异可能是基于系统的杠杆作用的一个重要目标,以提高VA急诊护理的价值。