The Reliability of Graduate Medical Education Quality of Care Clinical Performance Measures

Author:

Kim Jung G.1,Rodriguez Hector P.2,Holmboe Eric S.3,McDonald Kathryn M.4,Mazotti Lindsay5,Rittenhouse Diane R.6,Shortell Stephen M.7,Kanter Michael H.8

Affiliation:

1. Jung G. Kim, PhD, MPH, is Assistant Professor, Kaiser Permanente Bernard J. Tyson School of Medicine, Department of Health Systems Science

2. Hector P. Rodriguez, PhD, MPH, is the Kaiser Permanente Professor of Health Policy and Management, University of California, Berkeley School of Public Health

3. Eric S. Holmboe, MD, is Chief Research, Milestone Development, and Evaluation Officer, Accreditation Council for Graduate Medical Education

4. Kathryn M. McDonald, PhD, MM, is the Bloomberg Distinguished Professor of Health Systems, Quality, and Safety, Johns Hopkins Schools of Medicine and Nursing

5. Lindsay Mazotti, MD, is Assistant Physician-in-Chief, Kaiser Permanente East Bay and Director, Clinical Experience/Associate Professor of Clinical Science, Kaiser Permanente School of Medicine

6. Diane R. Rittenhouse, MD, MPH, is Senior Fellow, Mathematica, and Professor, University of California, San Francisco

7. Stephen M. Shortell, PhD, MBA, MPH, is Blue Cross of California Distinguished Professor of Health Policy and Management Emeritus, Dean Emeritus, and Professor, Graduate School, University of California, Berkeley School of Public Health

8. Michael H. Kanter, MD, is Chair and Professor of Clinical Science, Kaiser Permanente School of Medicine

Abstract

ABSTRACT Background Graduate medical education (GME) program leaders struggle to incorporate quality measures in the ambulatory care setting, leading to knowledge gaps on how to provide feedback to residents and programs. While nationally collected quality of care data are available, their reliability for individual resident learning and for GME program improvement is understudied. Objective To examine the reliability of the Healthcare Effectiveness Data and Information Set (HEDIS) clinical performance measures in family medicine and internal medicine GME programs and to determine whether HEDIS measures can inform residents and their programs with their quality of care. Methods From 2014 to 2017, we collected HEDIS measures from 566 residents in 8 family medicine and internal medicine programs under one sponsoring institution. Intraclass correlation was performed to establish patient sample sizes required for 0.70 and 0.80 reliability levels at the resident and program levels. Differences between the patient sample sizes required for reliable measurement and the actual patients cared for by residents were calculated. Results The highest reliability levels for residents (0.88) and programs (0.98) were found for the most frequently available HEDIS measure, colorectal cancer screening. At the GME program level, 87.5% of HEDIS measures had sufficient sample sizes for reliable measurement at alpha 0.7 and 75.0% at alpha 0.8. Most resident level measurements were found to be less reliable. Conclusions GME programs may reliably evaluate HEDIS performance pooled at the program level, but less so at the resident level due to patient volume.

Publisher

Journal of Graduate Medical Education

Subject

General Medicine,Education

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3