Evidence map›Paper›PMID 17142610›Full record

ReviewQuality & safety in health care2006

Work system design for patient safety: the SEIPS model.

P Carayon, A Schoofs Hundt, B-T Karsh, A P Gurses, C J Alvarado, M Smith, P Flatley Brennan

Registry-linked trialAbstract readReview
In one paragraph

Review in Quality & safety in health care, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07358793 (Effectiveness of In Situ and Off-site Simulation on A-C-L-S Teamwork Model Implementation for Adult Non-trauma Resuscitation), which is not on this map. Cited by 608 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
608citing papers in PubMed, 7 pooled it
–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.

NCT07358793 narecruitingnot on this mapstarted 2026, after this paper: background citation

Effectiveness of In Situ and Off-site Simulation on A-C-L-S Teamwork Model Implementation for Adult Non-trauma Resuscitation: A Two-group Pre-post Study

TypeinterventionalSponsorNational Taiwan University HospitalRan2026 to 2027Enrolled100ConditionsAdult Non-trauma Cardiac Arrest Resuscitation, Effectiveness of In-situ Simulation (ISS) Training, Effectiveness of Off-site Simulation (OSS) Training, Improvement of Teamwork in Emergency Care SettingsArmsIn-situ Simulation (ISS) Training, Off-site Simulation (OSS) Training
3 · Its place in the literature

Who cites it

608 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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548 more citing papers are in PubMed but not listed here.

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

7 authors.

P CarayonDepartment of Industrial and Systems Engineering, College of Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53726, USA. carayon@engr.wisc.edu
A Schoofs Hundt
B-T Karsh
A P Gurses
C J Alvarado
M Smith
P Flatley Brennan

Funding

DCERPS on Systems Engineering-Wisc. Patient SafetyP20HS011561 · AHRQ · UNIVERSITY OF WISCONSIN MADISON · PI CARAYON, PASCALE · 2001 to 2003
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AHRQ HHS P20 HS011561AHRQ HHS P20 HS11561-01
6 · The paper itself

Abstract

Models and methods of work system design need to be developed and implemented to advance research in and design for patient safety. In this paper we describe how the Systems Engineering Initiative for Patient Safety (SEIPS) model of work system and patient safety, which provides a framework for understanding the structures, processes and outcomes in health care and their relationships, can be used toward these ends. An application of the SEIPS model in one particular care setting (outpatient surgery) is presented and other practical and research applications of the model are described.

Indexed as

Quality Assurance, Health CareErgonomicsHumansMedical ErrorsModels, TheoreticalOutcome Assessment, Health CareSafety ManagementSurgicentersSystems AnalysisTask Performance and AnalysisUnited States

Identifiers

PMID17142610
PMCPMC2464868

What OpenQuestion holds

Textmetadata
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.