Society for Academic Continuing Medical Education Intervention Guideline Series: Guideline 1, Performance Measurement and Feedback.

J Contin Educ Health Prof

Dr. Van Hoof: Associate Professor, University of Connecticut School of Nursing, Storrs, and Associate Professor, Department of Community Medicine and Health Care, University of Connecticut School of Medicine, Farmington, CT. Ms. Grant: Research Associate, Continuing Professional Development, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada. Ms. Miller: Research Assistant, School of Nursing, University of Connecticut, Storrs, CT. Dr. Bell: Associate Scientist, Sunnybrook Research Institute, and Associate Professor, Faculty of Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada. Dr. Campbell: Director of Continuing Professional Development, Royal College of Physicians and Surgeons of Canada, Ottawa, Canada. Ms. Colburn: Executive Director, Center for Continuing Education, University of Nebraska Medical Center, Omaha, NE. Dr. Davis: Senior Director, Continuing Education and Performance Improvement, Association of American Medical Colleges, Washington, DC. Dr. Dorman: Professor, Johns Hopkins University School of Medicine, Baltimore, MD. Dr. Horsley: Associate Director, Research Unit, Royal College of Physicians and Surgeons of Canada and Adjunct Faculty, Department of Epidemiology and Community Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada. Dr. Jacobs-Halsey: Director, Office of Continuing Professional Development, Medical School, University of Minnesota, Minneapolis, MN. Dr. Kane: Associate Professor, Department of Biomedical Informatics and Medical Education, and Associate Professor, Department of Radiation Oncology, University of Washington, Seattle, WA. Dr. LeBlanc: Professor of Emergency Medicine, and Associate Dean for Continuing Professional Development, Dalhousie University, Halifax, NS. Dr. Lockyer: Professor, Department of Community Health Sciences, and Senior Associate Dean, Education, University of Calgary, Calgary, Alberta, Canada. Dr. Moore: Professor of Medical Education and Administ

Published: November 2016

The Society for Academic Continuing Medical Education commissioned a study to clarify and, if possible, to standardize the terminology for a set of important educational interventions. In the form of a guideline, this article describes one such intervention, performance measurement and feedback, which is a common intervention in health professions education. In the form of a summary report, performance measurement and feedback is an opportunity for clinicians to view data about the care they provide compared with some standard and often with peer and benchmark comparisons. Based on a review of recent evidence and a facilitated discussion with the US and Canadian experts, we describe proper terminology for performance measurement and feedback and other important information about the intervention. We encourage leaders and researchers to consider and build on this guideline as they plan, implement, evaluate, and report efforts with performance measurement and feedback. Clear and consistent use of terminology is imperative, along with complete and accurate descriptions of interventions, to improve the use and study of performance measurement and feedback.

Download full-text PDF

Source
http://dx.doi.org/10.1097/CEH.0000000000000013DOI Listing

Publication Analysis

Top Keywords

performance measurement
24
measurement feedback
24
society academic
8
academic continuing
8
continuing medical
8
medical education
8
performance
6
measurement
6
feedback
6
intervention
4

Similar Publications

This study investigated the additional radiation exposure, influencing factors, and clinical significance of overlapping Z-axis coverage in abdominopelvic CT scans performed consecutively after same-day chest CT scans. Data from 761 patients were analyzed, with measuring the total and overlapping Z-axis coverage of the portal venous phase in abdominopelvic CT scans. The average overlapping portion was 33.

View Article and Find Full Text PDF

From Theory to Practice: Viewpoint on Economic Indicators for Trust in Digital Health.

J Med Internet Res

January 2025

Department of Health Services Research Management, AI and Digital Health Lab (Centre for Healthcare Innovation Research), City St George's University, London, United Kingdom.

User trust is pivotal for the adoption of digital health systems interventions (DHI). In response, numerous trust-building guidelines have recently emerged targeting DHIs such as artificial intelligence. The common aim of these guidelines aimed at private sector actors and government policy makers is to build trustworthy DHI.

View Article and Find Full Text PDF

With rapid, energy-intensive, and coal-fueled economic growth, global air quality is deteriorating, and particulate matter pollution has emerged as one of the major public health problems worldwide. It is extremely urgent to achieve carbon emission reduction and air pollution prevention and control, aiming at the common problem of weak and unstable signals of characteristic elements in the application of laser-induced breakdown spectroscopy (LIBS) technology for trace element detection. In this study, the influence of the optical fiber collimation signal enhancement method on the LIBS signal was explored.

View Article and Find Full Text PDF

Evaluation of radiation therapy on grafted and non-grafted defects: an experimental rat model.

J Appl Oral Sci

January 2025

Universidade Federal de Uberlândia, Faculdade de Odontologia, Departamento de Periodontia e Implantodontia, Uberlândia, Brasil.

Objective: This study aimed to assess the effects of a single-dose radiation therapy (15 Gy) on grafted and non-grafted defects, bone microarchitecture, and collagen maturity.

Methodology: Bone defects were surgically created in rat femurs. The right femur defect was filled with blood clot (group "Clot") and the left femur defect by deproteinized bovine bone mineral graft (group "Xenograft").

View Article and Find Full Text PDF

Systematic social observation (SSO) is an objective method of measuring the neighborhood physical and social characteristics. This study aimed to build intraurban indicators using the SSO method and compare them between two slums and their surroundings in a Brazilian capital. The simple indicators were calculated using the ratio estimator method, and grouped into domains.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!