Chatterjee Paula, Liao Joshua M, Amagai Kano, Zhao Yueming, Shirk Torrey, Navathe Amol S
Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Department of Medicine, Penn Presbyterian Medical Center, Philadelphia, Pennsylvania.
JAMA Netw Open. 2025 Jul 1;8(7):e2523923. doi: 10.1001/jamanetworkopen.2025.23923.
The lack of universally accepted definitions for safety net hospitals (SNHs) has made it difficult to effectively design policies to support these hospitals and the populations they serve.
To evaluate the overlap, variation, and consistency across different definitions for SNH status.
DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used a hospital year-level dataset on short-term acute care US hospitals from 2014 to 2022. Hospital-level and area-level measures were used to define SNHs. Hospital characteristics under each definition, overlap across definitions, and stability of SNH samples produced by each definition from were described. Data analyses were performed from August 2024 to June 2025.
Nine hospital-level and 4 area-level SNH definitions.
Hospital characteristics under each definition, overlap across definitions, and stability of SNH samples over time. Hospital-level definitions included Medicare Disproportionate Share Hospital (DSH) index, Medicare inpatient day share, dual-eligible or low-income subsidy (DLIS) inpatient day share, Medicaid inpatient day share, Medicare Safety-Net Index, teaching status, public ownership, uncompensated care share, and operating margins. Area-level measures included Area Deprivation Index, Social Vulnerability index, proportion Hispanic population, and proportion Black population. Safety net status was assigned based on quartiles defined nationally (or within a state for Medicaid-specific definitions). For a subset of measures, this quartile-based approach was compared between the absolute number of inpatient days attributed to each patient group and the relative number (or share) of inpatient days.
Among 4531 short-term acute care hospitals, between 992 (21.9%) and 1326 (29.3%) were SNHs in 2022, depending on definition. SNHs defined based on the absolute level of inpatient days or absolute level of DLIS populations were often large (51% [242 of 476] or 67% [537 of 801]) and were not often rural (9% [45 of 476] or 2% [17 of 801]). Meanwhile, SNHs defined based on relative level of Medicaid inpatient days or relative level of DLIS patients were more often small (63% [298 of 476] and 82% [660 of 801]) and rural (48% [228 of 476] and 69% [555 of 801]) hospitals. The largest overlap across definitions was between a hospital's Medicaid inpatient day share and Medicare DSH index (55% overlap [808 of 1466 hospitals]), which tended to represent large, teaching hospitals. Public ownership, teaching status, and Medicare DSH index produced the most stable definitions of SNHs over time from 2014 to 2022, with 83% (862 of 1043), 74% (1000 of 1354), and 60% (809 of 1358) of similar hospitals, respectively, meeting safety net criteria. The least stable definitions were based on low operating margins, high uncompensated care share, and high DLIS day share, with only 15% (263 of 1796), 20% (362 of 1823), and 25% (436 of 1725) of similar hospitals, respectively, meeting safety net criteria in 2014, 2018, and 2022.
In this cohort study of US hospitals, different SNH definitions produced different samples, and candidate measures had variable overlap and stability over time. These findings highlight the trade-offs when considering different options to define SNHs.
缺乏对安全网医院(SNHs)普遍接受的定义使得难以有效设计政策来支持这些医院及其所服务的人群。
评估不同SNH状态定义之间的重叠、差异和一致性。
设计、设置和参与者:这项回顾性队列研究使用了2014年至2022年美国短期急性护理医院的医院年度数据集。使用医院层面和地区层面的指标来定义SNHs。描述了每个定义下的医院特征、不同定义之间的重叠以及每个定义产生的SNH样本的稳定性。数据分析于2024年8月至2025年6月进行。
九个医院层面和四个地区层面的SNH定义。
每个定义下的医院特征、不同定义之间的重叠以及SNH样本随时间的稳定性。医院层面的定义包括医疗保险不成比例分担医院(DSH)指数、医疗保险住院日份额、双重资格或低收入补贴(DLIS)住院日份额、医疗补助住院日份额、医疗保险安全网指数、教学状况、公有制、未补偿护理份额和运营利润率。地区层面的指标包括地区贫困指数、社会脆弱性指数、西班牙裔人口比例和黑人人口比例。根据全国定义的四分位数(或针对特定医疗补助定义在州内)确定安全网状态。对于一部分指标,比较了基于归因于每个患者组的住院日绝对数量和相对数量(或份额)的这种基于四分位数的方法。
在4531家短期急性护理医院中,2022年根据定义,有992家(21.9%)至1326家(29.3%)是SNHs。根据住院日绝对水平或DLIS人群绝对水平定义的SNHs通常规模较大(分别为51%[共476家中的242家]或67%[共801家中的537家]),且不常位于农村地区(分别为9%[共476家中的45家]或2%[共801家中的17家])。同时,根据医疗补助住院日相对水平或DLIS患者相对水平定义的SNHs更常是小型医院(分别为63%[共476家中的298家]和82%[共801家中的660家])且位于农村地区(分别为48%[共47形中的228家]和69%[共801家中的555家])。不同定义之间最大的重叠出现在医院的医疗补助住院日份额和医疗保险DSH指数之间(重叠率为55%[共1466家医院中的808家]),这往往代表大型教学医院。公有制、教学状况和医疗保险DSH指数在2014年至2022年期间产生的SNHs定义随时间最为稳定,分别有83%(共1043家中的862家)、74%(共1354家中的1000家)和60%(共1358家中的809家)类似医院符合安全网标准。最不稳定的定义基于低运营利润率、高未补偿护理份额和高DLIS住院日份额,在2014年、2018年和2022年,分别只有15%(共17形中的263家)、20%(共1823家中的362家)和25%(共1725家中的436家)类似医院符合安全网标准。
在此项对美国医院的队列研究中,不同的SNH定义产生了不同的样本,且候选指标随时间的重叠和稳定性各不相同。这些发现凸显了在考虑不同定义SNHs的选项时的权衡。