Biomedical subjects

D Mickey

Publications and source records attributed to D Mickey.

3 recordsLinked to original sources

PubMed1997

Profiling primary care physicians for a new managed care network.

We developed methods for comparing physicians who would be selected to participate in a major employer's self-insurance program. These methods used insurance claims data to identify and profile physicians according to deviations from prevailing practice and outcome patterns, after considering differences in case-mix and severity of illness among the patients treated by those providers. The discussion notes the usefulness and limitations of claims data for this and other purposes. We also comment on policy implications and the relationships between our methods and health care reform strategies designed to influence overall health care costs.

Ambulatory Care↗

PubMed1994

Using claims data to select primary care physicians for a managed care network.

An insurance claims databased profiling system was developed to help select new primary care physicians (PCPs) for a managed care network. PCPs (family practitioners, internists, and pediatricians) were ranked based on how closely their actual use of outpatient services conformed to the predictions of a mathematical model that adjusted for differences in age, sex, and case mix.

Ambulatory Care↗

PubMedDate not supplied

A quality measurement framework for managed care organizations.

This article presents a framework for a quality measurement system and its corresponding principles for quality improvement within a managed care environment. The quality measurement system comprises four modes: quality assessment, comparison, improvement, and system evaluation. If these modes are to be effective, the measurement system must incorporate the following five principles: (a) maintain and continually improve the data systems, (b) develop and utilize sound methodology and valid indicators, (c) build a competent measurement team, (d) develop effective strategies for implementation, and (e) protect member confidentiality. This model is helpful in the ongoing development and testing of new measurement systems.

Boston↗