Ef. Philbin et Tg. Disalvo, Prediction of hospital readmission for heart failure: Development of a simple risk score based on administrative data, J AM COL C, 33(6), 1999, pp. 1560-1566
Citations number
32
Categorie Soggetti
Cardiovascular & Respiratory Systems","Cardiovascular & Hematology Research
OBJECTIVES
The purpose of this study waste develop a convenient and inexpensive method
for identifying an individual's risk for hospital readmission for congesti
ve heart failure (CHF) using information derived exclusively from administr
ative data sources and available at the time of an index hospital discharge
.
BACKGROUND
Rates of readmission are high after hospitalization for CHF. The significan
t determinants of rehospitalization are debated.
METHODS
Administrative information on all 1995 hospital discharges in New York Stat
e which were. assigned International Classification of Diseases-9-Clinical
Modification codes indicative of CHF in the principal diagnosis position we
re obtained. The following were compared among hospital survivors who did a
nd did not experience readmission: demographics, comorbid illness, hospital
type and location, processes of care, length of stay and hospital charges.
RESULTS
A total of 42,731 black or white Patients were identified. The subgroup of
9,112 patients (21.3%) who were readmitted were distinguished by a greater
proportion of blacks, a higher prevalence of Medicare and Medicaid insuranc
e, more comorbid illnesses and the use of telemetry monitoring during their
index hospitalization. Patients treated at rural hospitals, those discharg
ed to skilled nursing facilities and those having echocardiograms or cardia
c catheterization were less likely to be readmitted. Using multiple regress
ion methods, a simple methodology was devised that segregated patients into
low, intermediate and high risk for readmission.
CONCLUSION
Patient characteristics, hospital features, processes of care and clinical
outcomes may be used to estimate the risk of hospital readmission for CHF.
However, some of the variation in rehospitalization risk remains unexplaine
d and may be the result of discretionary behavior by physicians and patient
s. (C) 1999 by the American College of Cardiology.