Title |
Predicting rehospitalization and outpatient services from administration and clinical databases
|
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Published in |
The Journal of Behavioral Health Services & Research, July 2003
|
DOI | 10.1007/bf02287322 |
Pubmed ID | |
Authors |
Michael S. Hendryx, Joan E. Russo, Bruce Stegner, Dennis G. Dyck, Richard K. Ries, Peter RoyByrne |
Abstract |
The study tests whether psychiatric services utilization may be predicted from administrative databases without clinical variables equally as well as from databases with clinical variables. Persons with a psychiatric hospitalization at an urban medical center were followed for 1 year postdischarge (N = 1384.) Dependent variables included statewide rehospitalization and the number of hours of outpatient services received. Three linear and logistic regression models were developed and cross-validated: a basic model with limited administrative independent variables, an intermediate model with diagnostic and limited clinical indicators, and a full model containing additional clinical predictors. For rehospitalization, the clinical cross-validated model accounted for twice the variance accounted by the basic model (adjusted R2 = .13 and .06, respectively). For outpatient hours, the basic cross-validated model performed as well as the clinical model (adjusted R2 = .36 and .34, respectively). Clinical indicators such as assessment of functioning and co-occurring substance use disorder should be considered for inclusion in predicting rehospitalization. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 9% |
Netherlands | 1 | 2% |
Romania | 1 | 2% |
Canada | 1 | 2% |
Unknown | 48 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 23% |
Researcher | 7 | 13% |
Student > Master | 7 | 13% |
Student > Doctoral Student | 4 | 7% |
Student > Bachelor | 4 | 7% |
Other | 11 | 20% |
Unknown | 10 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 25% |
Psychology | 11 | 20% |
Social Sciences | 7 | 13% |
Computer Science | 4 | 7% |
Nursing and Health Professions | 4 | 7% |
Other | 5 | 9% |
Unknown | 11 | 20% |