Evidence map›Paper›PMID 25277361›Full record

ArticleThe Journal of surgical research2015

Applying fault tree analysis to the prevention of wrong-site surgery.

Zachary A Abecassis, Lisa M McElroy, Ronak M Patel, Rebeca Khorzad, Charles Carroll, Sanjay Mehrotra

Abstract read
In one paragraph

Article in The Journal of surgical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Fault Tree Analysis.American journal of medical quality : the official journal of the American College of Medical Quality
    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

6 authors.

Zachary A AbecassisCenter for Healthcare Studies, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois. Electronic address: Zacharyabecassis2011@u.northwestern.edu.
Lisa M McElroyCenter for Healthcare Studies, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Ronak M PatelDivision of Sports Medicine, Illinois Bone and Joint Institute, LLC, Morton Grove, Illinois.
Rebeca KhorzadCenter for Healthcare Studies, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Charles CarrollDepartment of Orthopaedic Surgery, NOI NorthShore Orthopedics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Sanjay MehrotraCenter for Healthcare Studies, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Funding

Transplant Surgery Scientist Training ProgramT32DK077662 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Richard M Green, Daniela P Ladner · 2007 to 2026
$3.8M
NIDDK NIH HHS 5 T32 DK 77662-7NIDDK NIH HHS T32 DK077662
6 · The paper itself

Abstract

Wrong-site surgery (WSS) is a rare event that occurs to hundreds of patients each year. Despite national implementation of the Universal Protocol over the past decade, development of effective interventions remains a challenge. We performed a systematic review of the literature reporting root causes of WSS and used the results to perform a fault tree analysis to assess the reliability of the system in preventing WSS and identifying high-priority targets for interventions aimed at reducing WSS. Process components where a single error could result in WSS were labeled with OR gates; process aspects reinforced by verification were labeled with AND gates. The overall redundancy of the system was evaluated based on prevalence of AND gates and OR gates. In total, 37 studies described risk factors for WSS. The fault tree contains 35 faults, most of which fall into five main categories. Despite the Universal Protocol mandating patient verification, surgical site signing, and a brief time-out, a large proportion of the process relies on human transcription and verification. Fault tree analysis provides a standardized perspective of errors or faults within the system of surgical scheduling and site confirmation. It can be adapted by institutions or specialties to lead to more targeted interventions to increase redundancy and reliability within the preoperative process.

Indexed as

Appointments and SchedulesCritical PathwaysHumansIntraoperative CareMedical ErrorsOutcome and Process Assessment, Health CarePreoperative CareProbabilityReproducibility of ResultsRisk AssessmentSpecialties, SurgicalFault tree analysisMedical errorsPreoperative processProbabilistic risk assessmentSchedulingWrong-site surgery

Identifiers

PMID25277361
PMCPMC4268435

What OpenQuestion holds

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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.