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利用同院再入院率来估算全院再入院率。

Using same-hospital readmission rates to estimate all-hospital readmission rates.

机构信息

Center for Healthcare Outcomes and Policy (CHOP), University of Michigan, Ann Arbor, MI; Department of Surgery, University of Illinois Hospital & Health Sciences System, Chicago, IL.

Center for Healthcare Outcomes and Policy (CHOP), University of Michigan, Ann Arbor, MI.

出版信息

J Am Coll Surg. 2014 Oct;219(4):656-63. doi: 10.1016/j.jamcollsurg.2014.05.008. Epub 2014 May 27.

Abstract

BACKGROUND

Since October of 2012, Medicare's Hospital Readmissions Reduction Program has fined 2,200 hospitals a total of $500 million. Although the program penalizes readmission to any hospital, many institutions can only track readmissions to their own hospitals. We sought to determine the extent to which same-hospital readmission rates can be used to estimate all-hospital readmission rates after major surgery.

STUDY DESIGN

We evaluated 3,940 hospitals treating 741,656 Medicare fee-for-service beneficiaries undergoing CABG, hip fracture repair, or colectomy between 2006 and 2008. We used hierarchical logistic regression to calculate risk- and reliability-adjusted rates of 30-day readmission to the same hospital and to any hospital. We next evaluated the correlation between same-hospital and all-hospital rates. To analyze the impact on hospital profiling, we compared rankings based on same-hospital rates with those based on all-hospital rates.

RESULTS

The mean risk- and reliability-adjusted all-hospital readmission rate was 13.2% (SD 1.5%) and mean same-hospital readmission rate was 8.4% (SD 1.1%). Depending on the operation, between 57% (colectomy) and 63% (CABG) of hospitals were reclassified when profiling was based on same-hospital readmission rates instead of on all-hospital readmission rates. This was particularly pronounced in the middle 3 quintiles, where 66% to 73% of hospitals were reclassified.

CONCLUSIONS

In evaluating hospital profiling under Medicare's Hospital Readmissions Reduction Program, same-hospital rates provide unstable estimates of all-hospital readmission rates. To better anticipate penalties, hospitals require novel approaches for accurately tracking the totality of their postoperative readmissions.

摘要

背景

自 2012 年 10 月以来,医疗保险的医院再入院率降低计划已对 2200 家医院总共罚款 5 亿美元。尽管该计划对任何医院的再入院都进行处罚,但许多机构只能追踪自己医院的再入院情况。我们试图确定同一医院的再入院率在多大程度上可以用于估计大手术后的所有医院再入院率。

研究设计

我们评估了 2006 年至 2008 年间接受冠状动脉旁路移植术、髋部骨折修复或结肠切除术的 741656 名医疗保险自费受益人的 3940 家医院。我们使用分层逻辑回归计算了 30 天内同一医院和任何医院再入院的风险和可靠性调整后的再入院率。我们接下来评估了同一医院和所有医院再入院率之间的相关性。为了分析对医院分类的影响,我们比较了基于同一医院再入院率的排名和基于所有医院再入院率的排名。

结果

风险和可靠性调整后的所有医院再入院率平均为 13.2%(SD 1.5%),同一医院再入院率平均为 8.4%(SD 1.1%)。根据手术类型的不同,57%(结肠切除术)至 63%(冠状动脉旁路移植术)的医院在基于同一医院再入院率而非所有医院再入院率进行分类时会被重新分类。在中间的 3 个五分位数中,这种情况更为明显,有 66%至 73%的医院被重新分类。

结论

在评估医疗保险的医院再入院率降低计划下的医院分类时,同一医院的再入院率对所有医院的再入院率提供了不稳定的估计。为了更好地预测罚款,医院需要采用新的方法来准确跟踪其术后所有再入院情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4714/4171214/1d93e0799c54/nihms600378f1.jpg

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