Comparison of Measures to Predict Mortality and Length of Stay in Hospitalized Patients.

ABSTRACT: BACKGROUND:Patient risk adjustment is critical for hospital benchmarking and allocation of healthcare resources. However, considerable heterogeneity exists among measures. OBJECTIVES:The performance of five measures was compared to predict mortality and length of stay (LOS) in hospitalized adults using claims data; these include three comorbidity composite scores (Charlson/Deyo age-comorbidity score, V W Elixhauser comorbidity score, and V W Elixhauser age-comorbidity score), 3 M risk of mortality (3 M ROM), and 3 M severity of illness (3 M SOI) subclasses. METHODS:Binary logistic and zero-truncated negative binomial regression models were applied to a 2-year retrospective dataset (2013-2014) with 123,641 adult inpatient admissions from a large hospital system in New York City. RESULTS:All

SUBMITTER: Liu J 

PROVIDER: S-EPMC6488393 | biostudies-literature | 2019 May/Jun

REPOSITORIES: biostudies-literature