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Cited by 465

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Measuring safety climate in health care

Open access
Flin, R·2006·Quality and Safety in Health Care

Abstract

AIM: To review quantitative studies of safety climate in health care to examine the psychometric properties of the questionnaires designed to measure this construct. METHOD: A systematic literature review was undertaken to study sample and questionnaire design characteristics (source, no of items, scale type), construct validity (content validity, factor structure and internal reliability, concurrent validity), within group agreement, and level of analysis. RESULTS: Twelve studies were examined. There was a lack of explicit theoretical underpinning for most questionnaires and some instruments did not report standard psychometric criteria. Where this information was available, several questionnaires appeared to have limitations. CONCLUSIONS: More consideration should be given to psychometric factors in the design of healthcare safety climate instruments, especially as these are beginning to be used in large scale surveys across healthcare organisations.

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Crossref · 10.1136/qshc.2005.014761

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Metadata

Authors
Flin, R.
Venue
Quality and Safety in Health Care
Publisher
BMJ
Published
2006-04-01
Volume
15
Issue
2
Pages
109-115
ISSN
  • 1475-3898 (ISSN-L)
  • 1475-3901
OpenAlex
W2100289753
Cited by
465
References
61
FWCI
23.79
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Measuring safety climate in health care. https://app.cochat.ai/papers/10.1136/qshc.2005.014761
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Flin, R. (2006). Measuring safety climate in health care. Quality and Safety in Health Care. https://doi.org/10.1136/qshc.2005.014761

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.