Article thumbnail

An Administrative Claims Model for Profiling Hospital 30-Day Mortality Rates for Pneumonia Patients

By Dale W. Bratzler, Sharon-Lise T. Normand, Yun Wang, Walter J. O'Donnell, Mark Metersky, Lein F. Han, Michael T. Rapp and Harlan M. Krumholz
Topics: Research Article
Publisher: Public Library of Science
OAI identifier: oai:pubmedcentral.nih.gov:3075250
Provided by: PubMed Central

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles

Citations

  1. (1991). A prediction rule to identify low-risk patients with community-acquired pneumonia.
  2. (1999). Accuracy of ICD-9-CM codes in detecting community-acquired pneumococcal pneumonia for incidence and vaccine efficacy studies.
  3. (2007). America’s Best Hospitals in the treatment of acute myocardial infarction.
  4. (2006). An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction.
  5. (2006). An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure.
  6. (2007). Assessing surrogacy of data sources for institutional comparisons.
  7. (1999). Associations between initial antimicrobial therapy and medical outcomes for hospitalized elderly patients with pneumonia.
  8. (2001). Cardiac surgery report cards: comprehensive review and statistical critique.
  9. (2005). Care in U.S. hospitals–the Hospital Quality Alliance program.
  10. (1997). Communityacquired pneumonia: can it be defined with claims data?
  11. (2005). Deaths: leading causes for 2002. National Vital Statistics Reports;
  12. (2011). Department of Health & Human Services (Hospital Compare) website. Available: http://www.hospitalcompare.hhs.gov. Accessed
  13. (2006). Elixhauser A
  14. (2011). Forum website. Available: http://www.qualityforum.org/ uploadedFiles/Quality_Forum/Measuring_Performance/Consensus_Development_ Process%E2%80%99s_Principle/EvalCriteria2008-08-28Final.pdf?n=4701). Accessed
  15. (1996). League tables and their limitations: statistical aspects of institutional performance.
  16. (2007). Measuring performance for treating heart attacks and heart failure: the case for outcomes measurement.
  17. (2011). National Quality Forum website. Available: http://www.qualityforum.org/ Measures_List.aspx. Accessed
  18. (2007). Performance measures for pneumonia: are they valuable and are process measures adequate?
  19. (2005). Quality of care in U.S. hospitals as reflected by standardized measures,
  20. (1997). Quality of care, process, and outcomes in elderly patients with pneumonia.
  21. (2011). QualityNet website.Available: http://www.qualitynet.org/dcs/ContentServer?cid =1163010398556&pagename=QnetPublic%2FPage%2FQnetTier2&c=Page. Accessed
  22. (2001). Regression modeling strategies with applications to linear models, logistic regression, and survival analysis. 3rd ed.
  23. (2006). Relationship between Medicare’s Hospital Compare performance measures and mortality rates.
  24. (2004). Risk adjustment of Medicare capitation payments using the CMS-HCC model.
  25. (2006). Standards for statistical models used for public reporting of health outcomes: an American Heart Association Scientific Statement from the Quality of Care and Outcomes Research Interdisciplinary Writing Group.
  26. (1997). Statistical methods for profiling providers of medical care: issues and applications.
  27. (2011). The Joint Commission website. Available: http://www.jointcommission.org/ assets/1/6/Pneumonia.pdf. Accessed
  28. (2005). The Massachusetts cardiac surgery report card: implications of statistical methodology.
  29. (2004). Timing of antibiotic administration and outcomes for Medicare patients hospitalized with community-acquired pneumonia.
  30. (2005). Trends in hospitalizations for pneumonia among persons aged 65 years or older in the United States,