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使用从全国住院患者数据库开发的风险调整绩效指标评估医院医师对吸入性肺炎患者的治疗效果。

The Evaluation of Hospitalist Care for Patients with Aspiration Pneumonia Using Risk-adjusted Performance Indicators Developed from a Nationwide Inpatient Database.

作者信息

Tsutsumi Takahiko, Shin Jung-Ho, Tsunemitsu Ayako, Hamada Osamu, Sasaki Noriko, Kunisawa Susumu, Fushimi Kiyohide, Imanaka Yuichi

机构信息

Department of General Internal Medicine, Takatsuki General Hospital, Japan.

Department of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University, Japan.

出版信息

Intern Med. 2025 Apr 1;64(7):1031-1039. doi: 10.2169/internalmedicine.3653-24. Epub 2024 Nov 6.

Abstract

Objective High-quality evidence proving the superiority of hospitalist services is lacking. We developed risk-adjusted performance indicators from a multilevel prediction model using a nationwide inpatient database to evaluate hospitalist medical care for patients with aspiration pneumonia. Methods We extracted cases diagnosed with aspiration pneumonia between 2014 and 2021 from the Diagnosis Procedure Combination (DPC) database. Hospital-level risk-adjusted performance indicators were the observed-to-expected ratio of the following outcomes using a multilevel prediction model containing both patient- and hospital-level variables: death or transfer in poor condition within 30 days (Poor outcome), in-hospital death within 30 days, and discharges within the 25th and 50th percentiles for length of stay defined by the DPC system. Using the predicted numbers of each outcome without random intercept as denominators of both indicators, the numerators of Indicator 1 were observed numbers of each outcome, while those in Indicator 2 were "smoothed" predicted numbers of outcomes estimated by the fitted model with random intercept. The ratio of the number of outcomes for each hospital to the mean number of outcomes among participating hospitals was used as a reference. We applied these indicators to Takatsuki General Hospital (TGH) as a working example. Results A total of 526,245 patients were analyzed. Compared with Indicator 1, Indicator 2 showed greater stability in the mean ratio and bootstrapping confidence interval (CI). Indicator 2 of Poor outcome and discharges within the 25th percentile in 2017 at TGH were 1.110 (95% CI 0.784-1.375) and 1.458 (95% CI 1.272-1.597), respectively. Conclusion Utilizing a nationwide inpatient database, we developed risk-adjusted performance indicators using a multilevel prediction model to evaluate hospitalist medical care for patients with aspiration pneumonia. Given the reliable results shown in the working example, these indicators have potential benefits for the accurate evaluation of the quality of medical care.

摘要

目的 缺乏高质量证据证明住院医师服务的优越性。我们使用全国住院患者数据库,从一个多层次预测模型中开发了风险调整后的绩效指标,以评估住院医师对吸入性肺炎患者的医疗护理。方法 我们从诊断程序组合(DPC)数据库中提取了2014年至2021年期间诊断为吸入性肺炎的病例。医院层面的风险调整绩效指标是使用包含患者和医院层面变量的多层次预测模型,以下结局的观察值与预期值之比:30天内死亡或病情不佳转院(不良结局)、30天内院内死亡,以及DPC系统定义的住院时间第25和第50百分位数内的出院情况。以无随机截距的各结局预测数作为两个指标的分母,指标1的分子为各结局的观察数,而指标2的分子为有随机截距的拟合模型估计的结局“平滑”预测数。将每家医院的结局数与参与研究医院的结局平均数之比用作参考。我们将这些指标应用于高槻综合医院(TGH)作为实例。结果 共分析了526,245例患者。与指标1相比,指标2在平均比率和自抽样置信区间(CI)方面显示出更大的稳定性。TGH在2017年不良结局和第25百分位数内出院情况的指标2分别为1.110(95%CI 0.784-1.375)和1.458(95%CI 1.272-1.597)。结论 利用全国住院患者数据库,我们使用多层次预测模型开发了风险调整后的绩效指标,以评估住院医师对吸入性肺炎患者的医疗护理。鉴于实例中显示的可靠结果,这些指标对准确评估医疗质量具有潜在益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b96/12021503/bae353687879/1349-7235-64-1031-g001.jpg

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