Abstract
Nonelective hospitalizations for urgent or emergent reasons are frequent events for patients with diabetes mellitus, and their occurrence is difficult to predict. A model for predicting nonelective hospitalizations is described. It is based on risk factors: prior visits to the emergency room, hypoalbuminemia, cardiomegaly, anemia, systolic hypotension, and hyperglycemia. To test the model, the authors conducted a prospective cohort study in which 429 ambulatory patients with diabetes mellitus were stratified into three risk levels for hospitalization and followed for two years. Patients in higher risk groups were more likely to be hospitalized (high risk, 58.1%; medium risk, 40.2%; low risk, 26.6%, p<0.01) and had more hospitalizations per patient (1.47 vs. 0.80 vs. 0.46, p<0.01) and more hospital days per patient (14.6 vs. 8.6 vs. 5.3, p<0.01). When the two-year study period was divided into four six-month intervals, there was no significant difference across the four periods. This study demonstrates the validity of the model for predicting nonelective hospitalizations of patients with diabetes mellitus over time.
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Received from the Regenstrief Institute for Health Care, the Divisions of General Medicine and Biostatistics of the Department of Medicine. Indiana University School of Medicine, and the Veterans Administration Medical Center, Indianapolis, Indiana.
Supported in part by Public Health Services Research Grant P60 20542 from the National Institutes of Health.
The authors appreciate the clerical assistance of Sharon Hopwood in the preparation of this manuscript, the technical assistance of Patricia Moore and Mona Hamby, and the use of facilities provided by the Indiana University Computing Network.
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Smith, D.M., Weinberger, M. & Katz, B.P. Predicting nonelective hospitalization:. J Gen Intern Med 2, 168–173 (1987). https://doi.org/10.1007/BF02596146
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DOI: https://doi.org/10.1007/BF02596146