title: Using administrative databases to evaluate the quality of medical care: a conceptual framework.
abstract: Health care is consuming an ever larger share of national resources in the United States. Measures to contain costs and evidence of unexplained variation in patient outcomes have led to concern about inadequacy in the quality of health care. As a measure of quality, the evaluation of hospitals through analysis of their discharge databases has been suggested because of the scope and economy offered by this methodology. However, the value of the information obtained through these analyses has been questioned because of the inadequacy of the clinical data contained in administrative databases and the resultant inability to control accurately for patient variation. We suggest, however, that the major shortcoming of prior attempts to use large databases to perform across-facility evaluation has resulted from the lack of a conceptual framework to guide the analysis. We propose a framework which identifies component areas and clarifies the underlying assumptions of the analytic process. For each area, criteria are identified which will maximize the validity of the results. Hospitals identified as having unexpectedly high unfavorable outcomes when our framework is applied will be those where poor quality will most likely be found by primary review of the process of care.(ABSTRACT TRUNCATED AT 250 WORDS)
authors.affiliation: VA Health Services Research and Development Field Program, Houston VA Medical Center, Houston, TX 77030, USA.
authors.forename: N P
authors.initials: NP
authors.lastname: Wray
authors.forename: C M
authors.initials: CM
authors.lastname: Ashton
authors.forename: D H
authors.initials: DH
authors.lastname: Kuykendall
authors.forename: J C
authors.initials: JC
authors.lastname: Hollingsworth
mesh_terms: D006801:Humans; D016347:Medical Records Systems, Computerized; D008962:Models, Theoretical; D017063:Outcome Assessment, Health Care; D011785:Quality Assurance, Health Care / Q000458:organization & administration*; D015203:Reproducibility of Results