Evidence map›Paper›PMID 35443253›Full record

ArticleJournal of patient safety2022

Development and Usability Testing of the Agency for Healthcare Research and Quality Common Formats to Capture Diagnostic Safety Events.

Andrea Bradford, Umber Shahid, Gordon D Schiff, Mark L Graber, Abigail Marinez, Paula DiStabile, Andrea Timashenka, Hamid Jalal, P Jeffrey Brady, Hardeep Singh

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of patient safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04166240 (Measuring and Improving the Safety of Test Result Follow-Up), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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.

NCT04166240 nacompletednot on this map

Measuring and Improving the Safety of Test Result Follow-Up

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2018 to 2023Enrolled46ConditionsLung Cancer, Breast Cancer, Colon Cancer, Bladder CancerArmsSAFER TRACKS Intervention
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 6 institutions in 1 country.

Andrea Bradford
Umber Shahid
Gordon D Schiff
Mark L GraberSociety to Improve Diagnosis in Medicine, Chicago, Illinois.
Abigail Marinez
Paula DiStabileAgency for Healthcare Research and Quality, Rockville, Maryland.
Andrea TimashenkaAgency for Healthcare Research and Quality, Rockville, Maryland.
Hamid JalalAgency for Healthcare Research and Quality, Rockville, Maryland.
P Jeffrey BradyAgency for Healthcare Research and Quality, Rockville, Maryland.
Hardeep Singh
Agency for Healthcare Research and Quality · USMichael E. DeBakey VA Medical Center · USBaylor College of Medicine · USCenter for Innovation · USHarvard University · USJapan Society · US

Funding

Application of a Machine Learning to Enhance e-Triggers to Detect and Learn from Diagnostic Safety EventsR01HS027363 · AHRQ · BAYLOR COLLEGE OF MEDICINE · PI SINGH, HARDEEP · 2019 to 2021
$1.5M
AHRQ HHS R01 HS027363
6 · The paper itself

Abstract

objectivesA lack of consensus around definitions and reporting standards for diagnostic errors limits the extent to which healthcare organizations can aggregate, analyze, share, and learn from these events. In response to this problem, the Agency for Healthcare Research and Quality (AHRQ) began the development of the Common Formats for Event Reporting for Diagnostic Safety Events (CFER-DS). We conducted a usability assessment of the draft CFER-DS to inform future revision and implementation.

methodsWe recruited a purposive sample of quality and safety personnel working in 8 U.S. healthcare organizations. Participants were invited to use the CFER-DS to simulate reporting for a minimum of 5 cases of diagnostic safety events and then provide written and verbal qualitative feedback. Analysis focused on participants' perceptions of content validity, ease of use, and potential for implementation.

resultsEstimated completion time was 30 to 90 minutes per event. Participants shared generally positive feedback about content coverage and item clarity but identified reporter burden as a potential concern. Participants also identified opportunities to clarify several conceptual definitions, ensure applicability across different care settings, and develop guidance to operationalize use of CFER-DS. Findings led to refinement of content and supplementary materials to facilitate implementation.

conclusionsStandardized definitions of diagnostic safety events and reporting standards for contextual information and contributing factors can help capture and analyze diagnostic safety events. In addition to usability testing, additional feedback from the field will ensure that AHRQ's CFER-DS is useful to a broad range of users for learning and safety improvement.

Indexed as

User-Centered DesignUser-Computer InterfaceData CollectionHealth Services ResearchHumans

Identifiers

PMID35443253
PMCPMC9391254
OpenAlexW4224231205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.