scispace - formally typeset
M

Michael Zubkoff

Researcher at Dartmouth College

Publications -  22
Citations -  3734

Michael Zubkoff is an academic researcher from Dartmouth College. The author has contributed to research in topics: Health care & Problem-based learning. The author has an hindex of 16, co-authored 22 publications receiving 3667 citations.

Papers
More filters
Journal ArticleDOI

The Medical Outcomes Study. An application of methods for monitoring the results of medical care

TL;DR: The Medical Outcomes Study was designed to determine whether variations in patient outcomes are explained by differences in system of care, clinician specialty, and clinicians' technical and interpersonal styles and develop more practical tools for the routine monitoring of patient outcomes in medical practice.
Journal ArticleDOI

Professional uncertainty and the problem of supplier-induced demand.

TL;DR: The evidence reviewed here supports the hypothesis that variations occur to a large extent because of differences among physicians in their evaluation of patients or in their belief in the value of the procedures for meeting patient needs.
Journal ArticleDOI

Variations in Resource Utilization Among Medical Specialties and Systems of Care: Results From the Medical Outcomes Study

TL;DR: Although variations in patient mix should be a major determinant of variations in resource use, the independent effects of specialty training, payment system, and practice organization on utilization rates need further explication.
Journal ArticleDOI

Assessment of function in routine clinical practice: description of the COOP Chart method and preliminary findings.

TL;DR: It is concluded that new measures are needed to assess function in a busy office practice and that the COOP Chart system represents one promising strategy.
Journal ArticleDOI

Differences in the mix of patients among medical specialties and systems of care. Results from the medical outcomes study

TL;DR: Patient mix is related to utilization and differs significantly across medical specialties and systems of care and must be taken into account when interpreting variations in utilization and outcomes across specialty and systems, and when considering alternative policies for payment.