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

Author:

Schnipper Jeffrey L.12ORCID,Raffel Katie E.34ORCID,Keniston Angela3,Burden Marisha3ORCID,Glasheen Jeffrey34ORCID,Ranji Sumant5,Hubbard Colin6ORCID,Barish Peter6,Kantor Molly6,Adler‐Milstein Julia7,John Boscardin W.8ORCID,Harrison James D.6ORCID,Dalal Anuj K.12ORCID,Lee Tiffany6,Auerbach Andrew6ORCID

Affiliation:

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

2. Harvard Medical School Boston Massachusetts USA

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

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

5. Division of Hospital Medicine Zuckerberg San Francisco General Hospital San Francisco California USA

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

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

8. Department of Medicine and Department of Epidemiology and Biostatistics University of California San Francisco California USA

Abstract

AbstractBackgroundFew 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.ObjectivesTo 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 AnalysisAchieving 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 DisseminationThe 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.

Funder

Agency for Healthcare Research and Quality

Publisher

Wiley

Subject

Assessment and Diagnosis,Care Planning,Health Policy,Fundamentals and skills,General Medicine,Leadership and Management

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