Literature DB >> 7723462

Propensity score adjustment for pretreatment differences between hospitalized and ambulatory patients with community-acquired pneumonia. Pneumonia Patient Outcomes Research Team (PORT) Investigators.

R A Stone1, D S Obrosky, D E Singer, W N Kapoor, M J Fine.   

Abstract

A primary goal of the Pneumonia Patient Outcomes Research Team (PORT) multicenter cohort study is to identify a subgroup of patients with community-acquired pneumonia (CAP) who could be safely treated on an ambulatory basis. The medical outcomes of inpatients and outpatients are to be compared. Propensity score adjustment provides a unified way to control for pretreatment differences in the analysis of all the outcomes in this nonrandomized study by defining "comparable" patients as those with the same propensity score (i.e., the same probability of hospitalization). Data for 747 patients (35.5% hospitalized) with CAP in the Pneumonia PORT study illustrate the development and assessment of a propensity score adjustment. A classification tree algorithm defined seven propensity score strata with hospitalization probabilities ranging from 6.5% to 76.5%. Statistically significant pretreatment imbalances favoring the outpatients were found for 29 of 44 baseline variables considered; after stratification on the propensity score, only 13 of the 29 imbalances remained statistically significant at the 0.05 level. Post hoc stratification on the estimated propensity score consistently reduced, but did not completely eliminate, systematic baseline differences between ambulatory and hospitalized patients with CAP. Regression adjustment can be used in conjunction with propensity score stratification to adjust further for the remaining identified imbalances.

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Year:  1995        PMID: 7723462

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  20 in total

1.  A regional evaluation of variation in low-severity hospital admissions.

Authors:  G E Rosenthal; D L Harper; A Shah; K E Covinsky
Journal:  J Gen Intern Med       Date:  1997-07       Impact factor: 5.128

Review 2.  A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods.

Authors:  Til Stürmer; Manisha Joshi; Robert J Glynn; Jerry Avorn; Kenneth J Rothman; Sebastian Schneeweiss
Journal:  J Clin Epidemiol       Date:  2005-10-13       Impact factor: 6.437

3.  Relationship between number of breast cancer operations performed and 5-year survival after treatment for early-stage breast cancer.

Authors:  Mary Ann Gilligan; Joan Neuner; Xu Zhang; Rodney Sparapani; Purushottam W Laud; Ann B Nattinger
Journal:  Am J Public Health       Date:  2007-01-31       Impact factor: 9.308

4.  Evaluating uses of data mining techniques in propensity score estimation: a simulation study.

Authors:  Soko Setoguchi; Sebastian Schneeweiss; M Alan Brookhart; Robert J Glynn; E Francis Cook
Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-06       Impact factor: 2.890

5.  Relationships among initial hospital triage, disease progression and mortality in community-acquired pneumonia.

Authors:  Samuel M Brown; Jason P Jones; Dominik Aronsky; Barbara E Jones; Michael J Lanspa; Nathan C Dean
Journal:  Respirology       Date:  2012-11       Impact factor: 6.424

6.  A propensity score analysis of brief worksite crisis interventions after the World Trade Center disaster: implications for intervention and research.

Authors:  Joseph A Boscarino; Richard E Adams; Edna B Foa; Philip J Landrigan
Journal:  Med Care       Date:  2006-05       Impact factor: 2.983

7.  Understanding the Concept of Health Care-Associated Pneumonia in Lung Transplant Recipients.

Authors:  Federico Palacio; Luis F Reyes; Deborah J Levine; Juan F Sanchez; Luis F Angel; Juan F Fernandez; Stephanie M Levine; Jordi Rello; Ali Abedi; Marcos I Restrepo
Journal:  Chest       Date:  2015-08       Impact factor: 9.410

8.  Change in physician knowledge and attitudes after implementation of a pneumonia practice guideline.

Authors:  E A Halm; S J Atlas; L H Borowsky; T I Benzer; D E Singer
Journal:  J Gen Intern Med       Date:  1999-11       Impact factor: 5.128

9.  The relationship of post-acute home care use to Medicaid utilization and expenditures.

Authors:  Susan M C Payne; David L DiGiuseppe; Negussie Tilahun
Journal:  Health Serv Res       Date:  2002-06       Impact factor: 3.402

10.  A Propensity Score Matching Analysis of the Effects of Special Education Services.

Authors:  Paul L Morgan; Michelle Frisco; George Farkas; Jacob Hibel
Journal:  J Spec Educ       Date:  2010-02-01
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