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利用行政索赔模型评估退伍军人健康管理局医院的 30 天死亡率。

Use of administrative claims models to assess 30-day mortality among Veterans Health Administration hospitals.

机构信息

HSR&D Research Enhancement Award Program and Geriatrics Research, Education, and Clinical Center, James J. Peters Veterans Administration Medical Center, Bronx, NY 10468, USA.

出版信息

Med Care. 2010 Jul;48(7):652-8. doi: 10.1097/MLR.0b013e3181dbe35d.

DOI:10.1097/MLR.0b013e3181dbe35d
PMID:20548253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3020977/
Abstract

BACKGROUND

The Centers for Medicare and Medicaid Services (CMS) publicly reports hospital-specific risk-standardized, 30-day, all-cause, mortality rates (RSMRs) for all hospitalizations among fee-for-service Medicare beneficiaries for acute myocardial infarction (AMI), heart failure (HF), and pneumonia at non-Federal hospitals.

OBJECTIVE

To examine the performance of the statistical models used by CMS among veterans at least 65 years of age hospitalized for AMI, HF, and pneumonia in Veterans Health Administration (VHA) hospitals.

RESEARCH DESIGN

Cross-sectional analysis of VHA administrative claims data between October 1, 2006 and September 30, 2009.

SUBJECTS

Thirteen thousand forty-six veterans hospitalized for AMI among 123 VHA hospitals; 26,379 veterans hospitalized for HF among 124 VHA hospitals; and 31,126 veterans hospitalized for pneumonia among 124 VHA hospitals.

MEASURES

Hospital-specific RSMR for AMI, HF, and pneumonia hospitalizations calculated using hierarchical generalized linear models.

RESULTS

Median number of AMI hospitalizations per VHA hospital was 87. Average AMI RSMR was 14.3% [95% confidence interval (CI), 13.9%-14.6%] with modest heterogeneity among VHA hospitals (RSMR range: 8.4%-20.3%). The c-statistic for the AMI RSMR statistical model was 0.79. Median number of HF hospitalizations was 188. Average HF RSMR was 10.1% (95% CI, 9.9%-10.4%) with modest heterogeneity (RSMR range: 6.1%-14.9%). The c-statistic for the HF RSMR statistical model was 0.73. Median number of pneumonia hospitalizations was 221.5. Average pneumonia RSMR was 13.0% (95% CI, 12.7%-13.3%) with modest heterogeneity (RSMR range: 9.0%-18.4%). The c-statistic for the pneumonia RSMR statistical model was 0.72.

CONCLUSIONS

The statistical models used by CMS to estimate RSMRs for AMI, HF, and pneumonia hospitalizations at non-Federal hospitals demonstrate similar discrimination when applied to VHA hospitals.

摘要

背景

医疗保险和医疗补助服务中心(CMS)公开报告了非联邦医院服务项目下,医疗保险受益人的急性心肌梗死(AMI)、心力衰竭(HF)和肺炎住院患者的特定医院风险标准化、30 天全因死亡率(RSMR)。

目的

检查 CMS 在退伍军人健康管理局(VHA)医院对至少 65 岁的 AMI、HF 和肺炎住院退伍军人使用的统计模型的性能。

研究设计

2006 年 10 月 1 日至 2009 年 9 月 30 日的 VHA 行政索赔数据的横断面分析。

受试者

123 家 VHA 医院 13046 名 AMI 住院退伍军人;124 家 VHA 医院 26379 名 HF 住院退伍军人;124 家 VHA 医院 31126 名肺炎住院退伍军人。

措施

使用分层广义线性模型计算 AMI、HF 和肺炎住院患者的特定医院 RSMR。

结果

每家 VHA 医院 AMI 住院人数中位数为 87。AMI 的平均 RSMR 为 14.3%(95%置信区间,13.9%-14.6%),VHA 医院之间存在适度的异质性(RSMR 范围:8.4%-20.3%)。AMI RSMR 统计模型的 c 统计量为 0.79。HF 住院人数中位数为 188。HF 的平均 RSMR 为 10.1%(95%置信区间,9.9%-10.4%),异质性适度(RSMR 范围:6.1%-14.9%)。HF RSMR 统计模型的 c 统计量为 0.73。肺炎住院人数中位数为 221.5。肺炎的平均 RSMR 为 13.0%(95%置信区间,12.7%-13.3%),异质性适度(RSMR 范围:9.0%-18.4%)。肺炎 RSMR 统计模型的 c 统计量为 0.72。

结论

CMS 用于估计非联邦医院 AMI、HF 和肺炎住院患者 RSMR 的统计模型在应用于 VHA 医院时表现出相似的区分度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ee/3020977/0c69bee12330/nihms-262150-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ee/3020977/0c69bee12330/nihms-262150-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83ee/3020977/0c69bee12330/nihms-262150-f0001.jpg

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本文引用的文献

1
Declining mortality following acute myocardial infarction in the Department of Veterans Affairs Health Care System.美国退伍军人事务部医疗保健系统中急性心肌梗死后死亡率的下降
BMC Cardiovasc Disord. 2009 Aug 31;9:44. doi: 10.1186/1471-2261-9-44.
2
Veterans Affairs intensive care unit risk adjustment model: validation, updating, recalibration.退伍军人事务部重症监护病房风险调整模型:验证、更新、重新校准
Crit Care Med. 2008 Apr;36(4):1031-42. doi: 10.1097/CCM.0b013e318169f290.
3
Accuracy and completeness of mortality data in the Department of Veterans Affairs.
利用海量医疗理赔数据对医疗保健利用中的异质性进行建模。
J Am Stat Assoc. 2018;113(521):111-121. doi: 10.1080/01621459.2017.1330203. Epub 2017 Jun 26.
4
Effects of night-time and weekend admissions on in-hospital mortality in acute myocardial infarction patients in Japan.夜间及周末入院对日本急性心肌梗死患者院内死亡率的影响。
PLoS One. 2018 Jan 19;13(1):e0191460. doi: 10.1371/journal.pone.0191460. eCollection 2018.
5
Association of Admission to Veterans Affairs Hospitals vs Non-Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia.退伍军人事务医院与非退伍军人事务医院的入院情况与急性心肌梗死、心力衰竭或肺炎住院老年男性死亡率及再入院率的关联
JAMA. 2016 Feb 9;315(6):582-92. doi: 10.1001/jama.2016.0278.
6
Association between process quality measures for heart failure and mortality among US veterans.美国退伍军人心力衰竭过程质量测量指标与死亡率之间的关联。
Am Heart J. 2014 Nov;168(5):713-20. doi: 10.1016/j.ahj.2014.06.024. Epub 2014 Jul 11.
7
How objective is the observed mortality following critical care?重症监护后的观察到的死亡率有多客观?
Intensive Care Med. 2013 Nov;39(11):2047-9. doi: 10.1007/s00134-013-3079-5. Epub 2013 Aug 28.
8
Impact of social factors on risk of readmission or mortality in pneumonia and heart failure: systematic review.社会因素对肺炎和心力衰竭患者再入院或死亡风险的影响:系统评价。
J Gen Intern Med. 2013 Feb;28(2):269-82. doi: 10.1007/s11606-012-2235-x. Epub 2012 Oct 6.
美国退伍军人事务部死亡率数据的准确性和完整性。
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4
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5
An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure.一种适用于根据心力衰竭患者30天死亡率剖析医院绩效的行政索赔模型。
Circulation. 2006 Apr 4;113(13):1693-701. doi: 10.1161/CIRCULATIONAHA.105.611194. Epub 2006 Mar 20.
6
Risk adjustment of Medicare capitation payments using the CMS-HCC model.使用CMS-HCC模型对医疗保险按人头付费进行风险调整。
Health Care Financ Rev. 2004 Summer;25(4):119-41.
7
Hospital use and survival among Veterans Affairs beneficiaries.退伍军人事务部受益人的医院使用情况与生存率
N Engl J Med. 2003 Oct 23;349(17):1637-46. doi: 10.1056/NEJMsa003299.
8
Benchmarking Veterans Affairs Medical Centers in the delivery of preventive health services: comparison of methods.对退伍军人事务医疗中心提供预防性健康服务进行基准评估:方法比较
Med Care. 2002 Jun;40(6):540-54. doi: 10.1097/00005650-200206000-00011.
9
Sample size considerations in observational health care quality studies.观察性医疗保健质量研究中的样本量考量
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Promoting innovative nursing practice during radical health system change.在彻底的卫生系统变革过程中促进创新护理实践。
Nurs Clin North Am. 2000 Jun;35(2):429-41.