Doctor Who? A Quality Improvement Project to Assess and Improve Patients' Knowledge of Their Inpatient Physicians.

Abstract

Background Patient-physician communication is an integral part of high-quality patient care and an expectation of the Clinical Learning Environment Review program. Objective This quality improvement initiative evaluated the impact of an educational audit and feedback intervention on the frequency of use of 2 tools-business cards and white boards-to improve provider identification. Methods This before-after study utilized patient surveys to determine the ability of those patients to name and recognize their physicians. The before phase began in July 2013. From September 2013 to May 2014, physicians received education on business card and white board use. Results We surveyed 378 patients. Our intervention improved white board utilization (72.2% postintervention versus 54.5% preintervention, P < .01) and slightly improved business card use (44.4% versus 33.7%, P = .07), but did not improve physician recognition. Only 20.3% (14 of 69) of patients could name their physician without use of the business card or white board. Data from all study phases showed the use of both tools improved patients' ability to name physicians (OR = 1.72 and OR = 2.12, respectively; OR = 3.68 for both; P < .05 for all), but had no effect on photograph recognition. Conclusions Our educational intervention improved white board use, but did not result in improved patient ability to recognize physicians. Pooled data of business cards and white boards, alone or combined, improved name recognition, suggesting better use of these tools may increase identification. Future initiatives should target other barriers to usage of these types of tools.

Department

Description

Provenance

Subjects

Humans, Photography, Physician-Patient Relations, Hospitalists, Internship and Residency, Adult, Physicians, Inpatients, Quality Improvement, Surveys and Questionnaires

Citation

Published Version (Please cite this version)

10.4300/JGME-D-15-00067.1

Publication Info

Broderick-Forsgren, Kathleen, Wynn G Hunter, Ryan D Schulteis, Wen-Wei Liu, Joel C Boggan, Poonam Sharma, Steven Thomas, Aimee Zaas, et al. (2016). Doctor Who? A Quality Improvement Project to Assess and Improve Patients' Knowledge of Their Inpatient Physicians. Journal of Graduate Medical Education, 8(2). pp. 197–201. 10.4300/JGME-D-15-00067.1 Retrieved from https://hdl.handle.net/10161/19780.

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Scholars@Duke

Boggan

Joel Boggan

Associate Professor of Medicine
I am a hospital medicine physician and educator working at the intersection of healthcare quality, medical education, and artificial intelligence. I serve as Executive Director for Artificial Intelligence in Medical and Health Professions Education in the Duke University School of Medicine, where I lead institutional efforts to develop and implement an integrated strategy for AI-enabled teaching, learning, assessment, and educational operations across our MD and other health professions programs.
 
I also serve in leadership roles within the Duke Internal Medicine Residency Program and the Durham VA Health Care System, having been an Associate Program Director for Quality Improvement and Patient Safety and Lead Mentor for the Chief Residency in Quality and Safety roles until transitioning to the Executive Director role, and continuing as Core Faculty for AI for the Residency Program and an Associate Investigator for the national VA Hospital Medicine Analytics Team. My scholarly work focuses on health system performance, inpatient care, and the development of future clinical leaders, as well as the responsible implementation of artificial intelligence in health education across disciplines. 
Sharma

Poonam Sharma

Professor of Medicine
Thomas

Samantha Thomas

Biostatistician, Principal

Samantha is the manager of the Duke Cancer Institute (DCI) Biostatistics Shared Resource. Collaboratively, she primarily works with physicians in DCI, specifically in research of Endocrine Neoplasia and Breast Cancer. She is also the director of the Biostatistics, Epidemiology, Research, and Design Methods (BERD) Core Training and Internship Program (BCTIP). Her professional experience involves study design, analysis, and reporting of clinical trials and observational studies. Her specific areas of interest include training of collaborative biostatisticians, modeling of non-linear associations, and application of partitioning analyses to identify homogeneous patient groups.

Zaas

Aimee Kirsch Zaas

Professor of Medicine

Medical education
Genomic applications for diagnosis of infectious diseases
Genomic applications for prediction of infectious diseases

Bae

Jonathan Gregory Bae

Associate Professor of Medicine

Patient safety and quality improvement, hospital based performance improvement, care transitions and hospital readmissions, general internal medicine hospital care, resident and medical student education.


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