Using Highly Detailed Administrative Data to Predict Pneumonia Mortality-Reference-Cited by-同舟云学术

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Using Highly Detailed Administrative Data to Predict Pneumonia Mortality

Published:2014-01-31 Issue:1 Volume:9 Page:e87382
ISSN:1932-6203
Container-title:PLoS ONE
language:en
Short-container-title:PLoS ONE

Author:

Rothberg Michael B.,Pekow Penelope S.,Priya Aruna,Zilberberg Marya D.,Belforti Raquel,Skiest Daniel,Lagu Tara,Higgins Thomas L.,Lindenauer Peter K.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference24 articles.

1. Association of diagnostic coding with trends in hospitalizations and mortality of patients with pneumonia, 2003–2009;PK Lindenauer;Jama,2012

2. A Prediction Rule to Identify Low-Risk Patients with Community-Acquired Pneumonia;MJ Fine;N Engl J Med,1997

3. Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study;WS Lim;Thorax,2003

4. Predictions of Hospital Mortality Rates: A Comparison of Data Sources;M Pine;Ann Intern Med,1997

5. Modifying ICD-9-CM Coding of Secondary Diagnoses to Improve Risk-Adjustment of Inpatient Mortality Rates;M Pine;Med Decis Making,2009

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1. Associations between Present-on-Admission Do-Not-Resuscitate Orders and Short-Term Outcomes in Patients with Pneumonia;Southern Medical Journal;2024-03

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3. Physical therapy provision for patients with pneumonia in US hospitals;Journal of Hospital Medicine;2023-08-21

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