A low-cost approach to prospective identification of impending high cost outcomes

Citation
Dw. Roblin et al., A low-cost approach to prospective identification of impending high cost outcomes, MED CARE, 37(11), 1999, pp. 1155-1163
Citations number
21
Categorie Soggetti
Public Health & Health Care Science","Health Care Sciences & Services
Journal title
MEDICAL CARE
ISSN journal
00257079 → ACNP
Volume
37
Issue
11
Year of publication
1999
Pages
1155 - 1163
Database
ISI
SICI code
0025-7079(199911)37:11<1155:ALATPI>2.0.ZU;2-4
Abstract
OBJECTIVES. The overall objective of this study was to define and evaluate patterns of use of medical services in the care of patients with chronic il lness that represent circumstances which, if modified, might lead to reduct ion in risk of acute-level care. METHODS. This was a retrospective observational study. The study population consisted of Kaiser Permanente enrollees at four sites during January 1993 through June 1995, who were 20 to 64 years of age and had two of three chr onic diseases (diabetes, circulatory disorders, obstructive pulmonary disor ders). Using logistic regression, the effect of primary care visit patterns and therapeutically risky drug combinations on likelihood of hospital admi ssion in a subsequent 3-month period is adjusted for age, gender, and disea se state in the prior 12-month period. RESULTS. Enrollees with visits to three or more different primary care phys icians were 46% more likely to be admitted than expected (P < 0.01) accordi ng to their age, gender, and disease state, and those with therapeutically risky drug combinations were 34% more likely to be admitted (P < 0.01). CONCLUSIONS. The risk adjustment models evaluated in this study defined car e processes associated with increased risk of subsequent acute-level servic es. Those processes may represent nascent acute disease states or suboptima l organization of care delivery. The results of these models can be used to inform changes in organization and delivery of outpatient care that might improve patient outcomes.