Evidence map›Paper›PMID 18823446›Full record

ArticleHealth services research2009

Advancing measurement of patient safety culture.

Liane Ginsburg, Debra Gilin, Deborah Tregunno, Peter G Norton, Ward Flemons, Mark Fleming

Erratum issuedAbstract readValidation Study
In one paragraph

Article in Health services research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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.

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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

6 authors.

Liane GinsburgSchool of Health Policy and Management, Faculty of Health, York University, HNES Building 413, 4700 Keele Street, Toronto, ON, Canada M3J 1P3. lgins@yorku.ca
Debra Gilin
Deborah Tregunno
Peter G Norton
Ward Flemons
Mark Fleming

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the psychometric and unit of analysis/strength of culture issues in patient safety culture (PSC) measurement. DATA SOURCE: Two cross-sectional surveys of health care staff in 10 Canadian health care organizations totaling 11,586 respondents. STUDY

designA cross-validation study of a measure of PSC using survey data gathered using the Modified Stanford PSC survey (MSI-2005 and MSI-2006); a within-group agreement analysis of MSI-2006 data. Extraction Methods. Exploratory factor analyses (EFA) of the MSI-05 survey data and confirmatory factor analysis (CFA) of the MSI-06 survey data; Rwg coefficients of homogeneity were calculated for 37 units and six organizations in the MSI-06 data set to examine within-group agreement. PRINCIPAL

findingsThe CFA did not yield acceptable levels of fit. EFA and reliability analysis of MSI-06 data suggest two reliable dimensions of PSC: Organization leadership for safety (alpha=0.88) and Unit leadership for safety (alpha=0.81). Within-group agreement analysis shows stronger within-unit agreement than within-organization agreement on assessed PSC dimensions.

conclusionsThe field of PSC measurement has not been able to meet strict requirements for sound measurement using conventional approaches of CFA. Additional work is needed to identify and soundly measure key dimensions of PSC. The field would also benefit from further attention to strength of culture/unit of analysis issues.

Indexed as

Organizational CultureCanadaCross-Sectional StudiesFactor Analysis, StatisticalHumansLeadershipMedical ErrorsNursing Staff, HospitalPsychometricsQuality Assurance, Health CareReproducibility of ResultsSafety ManagementSurveys and Questionnaires

Identifiers

PMID18823446
PMCPMC2669635

What OpenQuestion holds

Textmetadata
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.