Volume 18, Issue 12 p. 1072-1081
ORIGINAL RESEARCH

Achieving diagnostic excellence through prevention and teamwork (ADEPT) study protocol: A multicenter, prospective quality and safety program to improve diagnostic processes in medical inpatients

Jeffrey L. Schnipper MD, MPH

Corresponding Author

Jeffrey L. Schnipper MD, MPH

Hospital Medicine Unit, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA

Harvard Medical School, Boston, Massachusetts, USA

Correspondence Jeffrey L. Schnipper, MD, MPH, Hospital Medicine Unit, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, 1620 Tremont St, BC-3, Boston, MA 02120-1613, USA.

Email: [email protected]; Twitter: @drjschnip

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Katie E. Raffel MD

Katie E. Raffel MD

Department of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA

Institute for Healthcare Quality, Safety, and Efficiency, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA

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Angela Keniston PhD, MSPH

Angela Keniston PhD, MSPH

Department of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA

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Marisha Burden MD, MBA

Marisha Burden MD, MBA

Department of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA

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Jeffrey Glasheen MD

Jeffrey Glasheen MD

Department of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA

Institute for Healthcare Quality, Safety, and Efficiency, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA

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Sumant Ranji MD

Sumant Ranji MD

Division of Hospital Medicine, Zuckerberg San Francisco General Hospital, San Francisco, California, USA

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Colin Hubbard PhD

Colin Hubbard PhD

Department of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA

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Peter Barish MD

Peter Barish MD

Department of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA

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Molly Kantor MD

Molly Kantor MD

Department of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA

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Julia Adler-Milstein PhD

Julia Adler-Milstein PhD

Center for Clinical Informatics and Improvement Research (CLIIR), University of California, San Francisco, California, USA

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W. John Boscardin PhD

W. John Boscardin PhD

Department of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA

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James D. Harrison MPH, PhD

James D. Harrison MPH, PhD

Department of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA

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Anuj K. Dalal MD

Anuj K. Dalal MD

Hospital Medicine Unit, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA

Harvard Medical School, Boston, Massachusetts, USA

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Tiffany Lee BA

Tiffany Lee BA

Department of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA

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Andrew Auerbach MD, MPH

Andrew Auerbach MD, MPH

Department of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA

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First published: 27 October 2023
Citations: 2

Abstract

Background

Few hospitals have built surveillance for diagnostic errors into usual care or used comparative quantitative and qualitative data to understand their diagnostic processes and implement interventions designed to reduce these errors.

Objectives

To build surveillance for diagnostic errors into usual care, benchmark diagnostic performance across sites, pilot test interventions, and evaluate the program's impact on diagnostic error rates.

Methods and Analysis

Achieving diagnostic excellence through prevention and teamwork (ADEPT) is a multicenter, real-world quality and safety program utilizing interrupted time-series techniques to evaluate outcomes. Study subjects will be a randomly sampled population of medical patients hospitalized at 16 US hospitals who died, were transferred to intensive care, or had a rapid response during the hospitalization. Surveillance for diagnostic errors will occur on 10 events per month per site using a previously established two-person adjudication process. Concurrent reviews of patients who had a qualifying event in the previous week will allow for surveys of clinicians to better understand contributors to diagnostic error, or conversely, examples of diagnostic excellence, which cannot be gleaned from medical record review alone. With guidance from national experts in quality and safety, sites will report and benchmark diagnostic error rates, share lessons regarding underlying causes, and design, implement, and pilot test interventions using both Safety I and Safety II approaches aimed at patients, providers, and health systems. Safety II approaches will focus on cases where diagnostic error did not occur, applying theories of how people and systems are able to succeed under varying conditions. The primary outcome will be the number of diagnostic errors per patient, using segmented multivariable regression to evaluate change in y-intercept and change in slope after initiation of the program.

Ethics and Dissemination

The study has been approved by the University of California, San Francisco Institutional Review Board (IRB), which is serving as the single IRB. Intervention toolkits and study findings will be disseminated through partners including Vizient, The Joint Commission, and Press-Ganey, and through national meetings, scientific journals, and publications aimed at the general public.

CONFLICT OF INTEREST STATEMENT

J. L. S. received funding from Synapse Medicine for an investigator-initiated study of their medication decision-support software; and a stipend from the American Society of Health-System Pharmacists for the creation of an online course on medication history-taking.