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Hospital Characteristics Associated With Postdischarge Hospital Readmission, Observation, and Emergency Department Utilization.与出院后住院再入院、观察和急诊利用相关的医院特征。
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Association of the Hospital Readmissions Reduction Program With Surgical Readmissions.医院再入院率降低计划与外科再入院的关联。
JAMA Surg. 2018 Mar 1;153(3):243-250. doi: 10.1001/jamasurg.2017.4585.
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Patterns of Hospital Performance on the Hospital-Wide 30-Day Readmission Metric: Is the Playing Field Level?医院在全范围 30 天再入院指标上的绩效模式:比赛场地是否公平?
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Hospital Characteristics Associated With Risk-standardized Readmission Rates.与风险标准化再入院率相关的医院特征。
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Hospital characteristics and 30-day all-cause readmission rates.医院特征与30天全因再入院率。
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Effect of Hospital Safety-Net Burden on Cost and Outcomes After Surgery.医院安全网负担对手术成本和结果的影响。
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Measuring quality and enacting policy: readmission rates and socioeconomic factors.衡量质量与制定政策:再入院率及社会经济因素
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Failure to rescue in safety-net hospitals: availability of hospital resources and differences in performance.安全网医院的救援失败:医院资源的可用性和绩效差异。
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利用美国医疗保健研究与质量局和美国医院协会的数据比较安全网和非安全网医院手术患者的风险标准化再入院率。

Comparison of Risk-Standardized Readmission Rates of Surgical Patients at Safety-Net and Non-Safety-Net Hospitals Using Agency for Healthcare Research and Quality and American Hospital Association Data.

机构信息

Department of Surgery, Boston Medical Center, Boston, Massachusetts.

Center for Healthcare Organization and Implementation Research, Veterans Affairs Boston Healthcare System, Boston, Massachusetts.

出版信息

JAMA Surg. 2019 May 1;154(5):391-400. doi: 10.1001/jamasurg.2018.5242.

DOI:10.1001/jamasurg.2018.5242
PMID:30649141
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6537916/
Abstract

IMPORTANCE

Medical patients discharged from safety-net hospitals (SNHs) experience higher readmission rates compared with those discharged from non-SNHs. However, little is known about whether this association persists for surgical patients.

OBJECTIVES

To examine differences in readmission rates between SNHs and non-SNHs among surgical patients after discharge and determine whether hospital characteristics might account for some of the variation.

DESIGN, SETTING, AND PARTICIPANTS: This observational retrospective study linked the Healthcare Cost and Utilization Project State Inpatient Databases of the Agency for Healthcare Research and Quality from January 1, 2011, through December 31, 2014, for 4 states (New York, Florida, Iowa, and Washington) with data from the 2014 American Hospital Association annual survey. After identifying surgical discharges, SNHs were defined as those with the top quartile of inpatient stays paid by Medicaid or self-paid. Hospital-level risk-standardized readmission rates (RSRRs) for surgical discharges were calculated. The association between hospital RSRRs and hospital characteristics was evaluated with bivariate analyses. An estimated multivariable hierarchical linear regression model was used to examine variation in hospital RSRRs, adjusting for hospital characteristics, state, year, and SNH status. Data were analyzed from June 1, 2017, through March 1, 2018.

EXPOSURES

Surgical care at an SNH.

MAIN OUTCOMES AND MEASURES

Readmission after an index surgical admission.

RESULTS

A total of 1 252 505 patients across all 4 years and states were included in the analysis (51.7% women; mean [SD] age, 52.7 [18.1] years). Bivariate analyses found that SNHs had higher mean (SD) surgical RSRRs compared with non-SNHs; significant differences were found for New York (9.6 [0.1] vs 10.9 [0.1]; P < .001) and Florida (11.6 [0.1] vs 12.1 [0.1]; P = .001). The SNHs also had higher RSRRs in these 2 states when stratified by hospital funding (nonfederal government SNHs in New York, 11.9 [0.2]; for-profit, private SNHs in Florida, 13.1 [0.2]; P < .001 for both); however, bed size was a significant factor for higher mean (SD) RSRRs only for New York (200 to 399 beds, 12.0 [0.4]; P = .006). Similar results were found for multivariable linear regression models; RSRRs were 1.02% higher for SNHs compared with non-SNHs (95% CI, 0.75%-1.29%; P < .001). Increased RSRRs were observed for hospitals in New York and Florida, teaching hospitals, and investor-owned hospitals. Factors associated with reduced RSRRs included presence of an ambulatory surgery center, cardiac catheterization capabilities, and high surgical volume.

CONCLUSIONS AND RELEVANCE

According to results of this study, surgical patients treated at SNHs experienced slightly higher RSRRs compared with those treated at non-SNHs. This association persisted after adjusting for year, state, and hospital factors, including teaching status, hospital bed size, and hospital volume.

摘要

背景

与非安全网医院(SNH)出院的患者相比,从 SNH 出院的医疗患者的再入院率更高。然而,对于手术患者,人们对这种关联是否仍然存在知之甚少。

目的

本研究旨在检查 SNH 和非 SNH 出院的手术患者出院后的再入院率差异,并确定医院特征是否可以解释部分差异。

设计、设置和参与者:本观察性回顾性研究将医疗保健成本和利用项目州住院数据库(质量医疗机构研究和管理局)从 2011 年 1 月 1 日到 2014 年 12 月 31 日链接在一起,包括来自 4 个州(纽约、佛罗里达、爱荷华州和华盛顿)的数据和 2014 年美国医院协会年度调查。确定手术后出院后,SNH 被定义为 Medicaid 或自费支付住院费用最高的前四分之一的医院。计算了手术出院的医院风险标准化再入院率(RSRR)。采用双变量分析评估医院 RSRR 与医院特征之间的关系。使用估计的多变量分层线性回归模型,在调整了医院特征、州、年份和 SNH 状态后,检验医院 RSRR 的变异。数据分析时间为 2017 年 6 月 1 日至 2018 年 3 月 1 日。

暴露因素

在 SNH 接受手术治疗。

主要结局和测量指标

指数手术后的再入院。

结果

在所有 4 年和所有 4 个州,共纳入 1252505 名患者(51.7%为女性;平均[标准差]年龄 52.7[18.1]岁)。双变量分析发现,SNH 的手术 RSRR 高于非 SNH;在纽约(9.6[0.1] vs 10.9[0.1];P<.001)和佛罗里达(11.6[0.1] vs 12.1[0.1];P=0.001)差异有统计学意义。在这些 2 个州,当按医院资金进行分层时,SNH 的 RSRR 更高(纽约的非联邦政府 SNH 为 11.9[0.2];佛罗里达州盈利的私立 SNH 为 13.1[0.2];两者均<.001);然而,床位规模仅对纽约(200 至 399 张床位,12.0[0.4];P=0.006)的平均(标准差)RSRR 有显著影响。多变量线性回归模型也得出了类似的结果;与非 SNH 相比,SNH 的 RSRR 高 1.02%(95%CI,0.75%-1.29%;P<.001)。在纽约和佛罗里达州,教学医院和投资者所有医院的 RSRR 更高。与 RSRR 降低相关的因素包括存在门诊手术中心、心导管检查能力和高手术量。

结论和相关性

根据本研究的结果,与在非 SNH 接受治疗的患者相比,在 SNH 接受治疗的手术患者的 RSRR 略高。在调整了年份、州和医院因素(包括教学地位、医院床位规模和医院容量)后,这种关联仍然存在。