Evidence map›Paper›PMID 30528933›Full record

ArticleJournal of the American College of Radiology : JACR2019

Classifying Safety Events Related to Diagnostic Imaging From a Safety Reporting System Using a Human Factors Framework.

Ronilda Lacson, Laila Cochon, Ivan Ip, Sonali Desai, Allen Kachalia, Jack Dennerlein, James Benneyan, Ramin Khorasani

Open access · greenAbstract read
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

8 authors at 3 institutions in 1 country.

Ronilda LacsonCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts. Electronic address: rlacson@partners.org.
Laila CochonCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.
Ivan IpCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Sonali DesaiHarvard Medical School, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Allen KachaliaHarvard Medical School, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Jack DennerleinCenter for Work, Health, and Wellbeing, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
James BenneyanHealthcare Systems Engineering Institute, Northeastern University, Boston, Massachusetts.
Ramin KhorasaniCenter for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Harvard University · USBrigham and Women's Hospital · USNortheastern University · US

Funding

Factors that Enhance Diagnostic Imaging Safety in the Ambulatory SettingR01HS024722 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI LACSON, RONILDA · 2016 to 2020
$1.7M
AHRQ HHS R01 HS024722
6 · The paper itself

Abstract

purposeThe aim of this study was to measure diagnostic imaging safety events reported to an electronic safety reporting system and assess steps at which they occurred within the diagnostic imaging workflow and contributing sociotechnical factors.

methodsThe authors evaluated all electronic safety reporting system reports related to diagnostic imaging during calendar year 2015 at an academic medical center with 50,000 admissions, 950,000 ambulatory visits, and 680,000 diagnostic imaging studies annually. Each report was assigned a harm score ranging from 0 to 4 by the reporter; scores of 2 (minor harm) to 4 (death) were classified as "potential harm." Two reviewers manually classified reports into steps involved in the diagnostic imaging chain and sociotechnical factors per the Systems Engineering Initiative for Patient Safety framework. The κ coefficient was used to measure interreviewer agreement on 10% of reports. The percentage of reports that could cause "potential harm" was compared for each step and sociotechnical factor using χ

resultsOf 11,570 safety reports submitted in 2015, 854 (7%) were related to diagnostic imaging. Although the most common step was imaging procedure (54% of reports), potential harm occurred more in result communication (odds ratio, 2.36; P = .05). Person factors most commonly contributed to safety reports (71%). Potential harm occurred more in safety reports that were related to tasks compared with person factors (odds ratio, 5.03; P < .0001). The κ coefficient was 0.79.

conclusionsSafety events were related to diagnostic imaging in 7% of reported events. Potential harm occurred primarily during imaging procedure and result communication. Safety events were attributed to multifactorial sociotechnical factors. Further work is necessary to decrease safety events related to diagnostic imaging.

Indexed as

Patient SafetyAcademic Medical CentersData CollectionDiagnostic ImagingHumansMedical ErrorsRadiology Department, HospitalWorkflowdiagnostic errorsdiagnostic imagingPatient safetysociotechnical factors

Identifiers

PMID30528933
PMCPMC7537148
OpenAlexW2904931225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.