Outlier classification performance of risk adjustment methods when profiling multiple providers

Outlier classification performance of risk adjustment methods when profiling multiple providers

Abstract Background When profiling multiple health care providers, adjustment for case-mix is essential to accurately classify the quality of providers. Unfortunately, misclassification of provider performance is not uncommon and can have grave implications. Propensity score (PS) methods have been p...

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Bibliographic Details
Main Authors: Timo B. Brakenhoff, Kit C. B. Roes, Karel G. M. Moons, Rolf H. H. Groenwold
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Medical Research Methodology
Subjects:
Propensity score
Risk adjustment
Classification
Profiling
Random effects
Logistic regression
Online Access:http://link.springer.com/article/10.1186/s12874-018-0510-1

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http://link.springer.com/article/10.1186/s12874-018-0510-1

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