POLICY IMPLICATIONS OF A PREDICTIVE MODEL FOR READMISSION FOR CONGESTIVE HEART FAILURE.
Contributors: University of Illinois at Chicago.
Published: 1993
Number of pages: 145
Subjects: Health Sciences, Medicine and Surgery.; Health Sciences, Nursing.; Health Sciences, Public Health.
Description: A predictive model to identify factors influencing readmission to the hospital for congestive heart failure was constructed using a data set from a Veterans Administration Cooperative Study.

Nine independent variables, demographic and continuous, comprised the model. Four variables were measured once at the study onset and five variables were measured at regular intervals throughout the study.

Multivariate analysis using logistic regression revealed that five variables (duration of congestive heart failure symptoms, number of cardiac hospitalizations one year pre-study, peak oxygen consumption, left ventricular ejection fraction, and New York Heart Association classification) were significant predictors of readmission for congestive heart failure.
Notes: Source: Dissertation Abstracts International, Volume: 54-12, Section: B, page: 6128.

Thesis (PH.D.)--UNIVERSITY OF ILLINOIS AT CHICAGO, 1993.

School code: 0799.