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医疗保险住院医疗入院的风险调整后结果。

Risk-adjusted outcomes of inpatient medicare medical admissions.

作者信息

Fry Donald E, Nedza Susan M, Pine Michael, Reband Agnes M, Huang Chun-Jung, Pine Gregory

机构信息

MPA Healthcare Solutions Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL Department of Surgery, University of New Mexico School of Medicine, Albuquerque, New Mexico Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.

出版信息

Medicine (Baltimore). 2018 Sep;97(37):e12269. doi: 10.1097/MD.0000000000012269.

Abstract

It is important that actual outcomes of care and not surrogate markers, such as process measures, be used to evaluate the quality of inpatient care. Because of the heterogenous composition of patients, risk-adjustment is essential for the objective evaluation of outcomes following inpatient care. Comparative evaluation of risk-adjusted outcomes can be used to identify suboptimal performance and can provide direction for care improvement initiatives.We studied the risk-adjusted outcomes of 6 medical conditions during the inpatient and 90-day post-discharge period to identify the opportunities for care improvement. The Medicare Limited Dataset for 2012 to 2014 was used to identify acute myocardial infarction (AMI), chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), pneumonia (PNEU), cerebrovascular accidents (CVA), and gastrointestinal hemorrhage (GIH). Stepwise logistic predictive models were developed for the adverse outcomes (AOs) of inpatient deaths, 3-sigma prolonged length-of-stay outliers, 90-day post-discharge deaths, and 90-day readmissions after unrelated events were excluded. Observed and predicted AOs were determined for each hospital with ≥75 cases for each of the 6 medical conditions. Z-scores and risk-adjusted AO rates for each hospital permitted comparative analysis of outcomes after adjusting for covariance among the medical conditions.There were a total of 1,811,749 patients from 973 acute care hospitals with the 6 medical conditions. A total of 41% of all patients had ≥1 AO events. One or more readmissions were identified in 29.8% of patients. A total of 64 hospitals (6.4%) were 2 standard deviations better than the mean for risk-adjusted outcomes, and 72 (7.4%) were 2 standard deviations poorer. The best performing decile of hospitals had mean AO rates of 35.1% (odds ratio = 0.766; 95% confidence interval (CI) CI: 0.762-0.771) and the poorest performing decile a mean AO rate of 48.5% (odds ratio = 1.357; 95% CI: 1.346-1.369). Volume of qualifying cases ranged from 670 to 9314; no association was identified for increased volume of patients (P < .40).Risk-adjusted AO rates demonstrated nearly a 14% opportunity for care improvement between top and suboptimal performing hospitals. Hospitals must be able to benchmark objective measurement of outcomes to inform quality initiatives.

摘要

重要的是,应使用实际护理结果而非替代指标(如过程指标)来评估住院护理质量。由于患者构成的异质性,风险调整对于客观评估住院护理后的结果至关重要。对风险调整后的结果进行比较评估可用于识别表现欠佳的情况,并可为护理改进举措提供方向。我们研究了6种医疗状况在住院期间及出院后90天内的风险调整结果,以确定护理改进的机会。利用2012年至2014年医疗保险有限数据集来识别急性心肌梗死(AMI)、慢性阻塞性肺疾病(COPD)、充血性心力衰竭(CHF)、肺炎(PNEU)、脑血管意外(CVA)和胃肠道出血(GIH)。针对住院死亡、3倍标准差延长住院时间的异常值、出院后90天死亡以及排除无关事件后的90天再入院等不良结局(AO),建立了逐步逻辑预测模型。对于每种医疗状况,确定每家医院≥75例病例的观察到的和预测的AO。每家医院的Z分数和风险调整后的AO率允许在对医疗状况之间的协方差进行调整后对结果进行比较分析。共有来自973家急性护理医院的1,811,749例患有这6种医疗状况的患者。所有患者中共有41%发生了≥1次AO事件。29.8%的患者被确定有一次或多次再入院。共有64家医院(6.4%)在风险调整后的结果方面比平均水平好2个标准差,72家医院(7.4%)比平均水平差2个标准差。表现最佳的十分之一医院的平均AO率为35.1%(优势比=0.766;95%置信区间(CI):0.762 - 0.771),表现最差的十分之一医院的平均AO率为48.5%(优势比=1.357;95%CI:1.346 - 1.369)。符合条件的病例数量从670到9314不等;未发现患者数量增加与之有相关性(P<0.40)。风险调整后的AO率显示,表现最佳的医院与表现欠佳的医院之间在护理改进方面有近14%的机会。医院必须能够对结果的客观测量进行基准对比,以为质量改进举措提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/436e/6156012/e825482e4cf6/medi-97-e12269-g001.jpg

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