
Assessment of Morbidity Over Time in Predicting Health Outcomes
Author(s) -
Chan Zeng,
Jennifer L. Ellis,
John F. Steiner,
Jo Ann Shoup,
Deanna B. McQuillan,
Elizabeth A. Bayliss
Publication year - 2014
Publication title -
medical care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.632
H-Index - 178
eISSN - 1537-1948
pISSN - 0025-7079
DOI - 10.1097/mlr.0000000000000033
Subject(s) - medicine , observational study , cohort , comorbidity , cohort study , retrospective cohort study , snapshot (computer storage) , demography , pathology , sociology , computer science , operating system
Administratively derived morbidity measures are often used in observational studies as predictors of outcomes. These typically reflect a limited time period before an index event; some outcomes may be affected by rate of morbidity change over longer preindex periods.