PMID: 7464308Jan 1, 1981Paper

Utilization review in nursing homes: making implicit level-of-care judgments explicit

Medical Care
R L KaneB Harrell

Abstract

Comprehensive data on 3,579 patients in Baltimore nursing homes were collected by trained teams of reliable observers. The data included an implicit judgment about the level of care (LOC) deemed most appropriate for each patient. Two different approaches were used to fit the patient data to the LOC judgments: Several versions of an algorithm adapted from a utilization review scheme based on simple clinical criteria and a series of mathematical equations based on logistic regression were each tested. In the case of the latter, each equation was derived from a random half of the data and tested on the remaining half. Both approaches yielded comparable results. The best variation of the algorithm correctly identified 71 per cent of patients needing skilled care and 69 per cent of those needing unskilled care. The equations based on the logistic regressions could correctly classify 86 per cent of those needing skilled care and 63 per cent of those not needing such care. Further improvements in accuracy of prediction on one group came at the cost of less accurate identification of the other. In general, the simplest models proved the most useful. These techniques are recommended as useful for preliminary screening of nursing home pa...Continue Reading

Citations

May 11, 1983·Evaluation & the Health Professions·N M Lang, J F Clinton
Aug 8, 1985·Evaluation & the Health Professions·A Donabedian
Dec 24, 1987·The New England Journal of Medicine·R W DuboisR H Brook
Jan 1, 1993·The Journal of Law, Medicine & Ethics : a Journal of the American Society of Law, Medicine & Ethics·R R BovbjergC E Carroll

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