Profiling nursing homes using Bayesian hierarchical modeling.
OBJECTIVE
New methods developed to improve the statistical basis of provider profiling may be particularly applicable to nursing homes. We examine the use of Bayesian hierarchical modeling in profiling nursing homes on their rate of pressure ulcer development.


METHODS
Observational study using Minimum Data Set data from 1997 and 1998.


METHODS
A for-profit nursing home chain.


METHODS
Residents of 108 nursing homes who were without a pressure ulcer on an index assessment.


METHODS
Nursing homes were compared on their performance on risk-adjusted rates of pressure ulcer development calculated using standard statistical techniques and Bayesian hierarchical modeling.


RESULTS
Bayesian estimates of nursing home performance differed considerably from rates calculated using standard statistical techniques. The range of risk-adjusted rates among nursing homes was 0% to 14.3% using standard methods and 1.0% to 4.8% using Bayesian analysis. Fifteen nursing homes were designated as outliers based on their z scores, and two were outliers using Bayesian modeling. Only one nursing home had greater than a 50% probability of having a true rate of ulcer development exceeding 4%.


CONCLUSIONS
Bayesian hierarchical modeling can be successfully applied to the problem of profiling nursing homes. Results obtained from Bayesian modeling are different from those obtained using standard statistical techniques. The continued evaluation and application of this new methodology in nursing homes may ensure that consumers and providers have the most accurate information regarding performance.
Center for Health Quality, Outcomes, and Economic Research, Edith Nourse Rogers Memorial Veterans Hospital, 200 Springs Road, Bedford, MA 01730, USA. dberlow@bu.edu
Dan R
DR
Berlowitz
Cindy L
CL
Christiansen
Gary H
GH
Brandeis
Arlene S
AS
Ash
Boris
B
Kader
John N
JN
Morris
Mark A
MA
Moskowitz
D001499:Bayes Theorem; D019985:Benchmarking; D006707:Homes for the Aged / Q000592:standards* / Q000706:statistics & numerical data; D006801:Humans; D009735:Nursing Homes / Q000592:standards* / Q000706:statistics & numerical data; D019370:Observation; D003668:Pressure Ulcer / Q000517:prevention & control; D019984:Quality Indicators, Health Care / Q000592:standards*