Evidence map›Paper›PMID 37888951›Full record

ArticleJournal of hospital medicine2023

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, Katie E Raffel, Angela Keniston, Marisha Burden, Jeffrey Glasheen, Sumant Ranji, Colin Hubbard, Peter Barish, Molly Kantor, Julia Adler-Milstein and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of hospital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Jeffrey L SchnipperHospital Medicine Unit, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-7072-0781
Katie E RaffelDepartment of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0002-5206-8862
Angela KenistonDepartment of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Marisha BurdenDepartment of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0002-8262-3994
Jeffrey GlasheenDepartment of Medicine, Division of Hospital Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0002-7157-2087
Sumant RanjiDivision of Hospital Medicine, Zuckerberg San Francisco General Hospital, San Francisco, California, USA.
Colin HubbardDepartment of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA.ORCID 0000-0003-4516-1601
Peter BarishDepartment of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA.
Molly KantorDepartment of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA.
Julia Adler-MilsteinCenter for Clinical Informatics and Improvement Research (CLIIR), University of California, San Francisco, California, USA.
W John BoscardinDepartment of Medicine and Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA.ORCID 0000-0003-3121-9526
James D HarrisonDepartment of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA.ORCID 0000-0002-7761-7039
Anuj K DalalHospital Medicine Unit, Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-1431-2972
Tiffany LeeDepartment of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA.
Andrew AuerbachDepartment of Medicine, Division of Hospital Medicine, University of California, San Francisco, California, USA.ORCID 0000-0001-8440-0527
San Francisco General Hospital · USUniversity of Colorado Anschutz Medical Campus · USBrigham and Women's Hospital · USUniversity of California, San Francisco · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
AHRQ HHS R18 HS029366NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

backgroundFew 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 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.

Indexed as

HospitalsInpatientsDiagnostic ErrorsHospitalizationHumansMulticenter Studies as TopicProspective Studies

Identifiers

PMID37888951
PMCPMC10964432
OpenAlexW4387966240

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.