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Screening for risk of rehospitalization from home care: Use of the outcomes assessment information set and the probability of readmission instrument
Author(s) -
Bowles Kathryn H.,
Cater Jacqueline R.
Publication year - 2003
Publication title -
research in nursing and health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 85
eISSN - 1098-240X
pISSN - 0160-6891
DOI - 10.1002/nur.10071
Subject(s) - receiver operating characteristic , medicine , logistic regression , area under the curve , minimum data set , set (abstract data type) , nursing , nursing homes , computer science , programming language
The purpose of this study was to evaluate the Outcomes Assessment Information Set (OASIS) compared with the Probability of Readmission (P ra ) instrument for use in predicting rehospitalization during home care. Using logistic regression and receiver operating characteristic (ROC) curve analysis, the P ra instrument was found to be significantly better at predicting rehospitalization than the OASIS case mix weight, clinical, or service scores. The area under the curve (AUC) for the P ra was .686 compared with .549 for the OASIS case mix weight ( p = .010). Similar results were found for the OASIS clinical and service scores. The AUC for the function score of ≥2 (.599) provided the closest approximation to the P ra (.686), and the difference between the two was not statistically significant ( p = .120). The OASIS function score could be used to identify at‐risk home care patients without having to also use the P ra instrument. © 2003 Wiley Periodicals, Inc. Res Nurs Health 26:118–127, 2003