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Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability
Hospitals are complex organizations with a potential for medical errors that can be influenced by safety culture. Safety climate, as measurable element of safety culture, illustrates the perception of safety-relevant aspects of health care staff at a certain time. The Safety Climate Survey is applie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359777/ https://www.ncbi.nlm.nih.gov/pubmed/34347738 http://dx.doi.org/10.1097/PTS.0000000000000888 |
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author | Glarcher, Manela Kaiser, Karin Nestler, Nadja Kutschar, Patrick |
author_facet | Glarcher, Manela Kaiser, Karin Nestler, Nadja Kutschar, Patrick |
author_sort | Glarcher, Manela |
collection | PubMed |
description | Hospitals are complex organizations with a potential for medical errors that can be influenced by safety culture. Safety climate, as measurable element of safety culture, illustrates the perception of safety-relevant aspects of health care staff at a certain time. The Safety Climate Survey is applied internationally to measure safety climate. However, psychometrics for the German version of the survey have yet not been evaluated. The aim of this study is to explore the factor structure, reliability, and potential usefulness of the Safety Climate Survey in Austrian acute care. METHODS: Cross-sectional surveys of physicians, therapists, and nurses/midwives were implemented. An exploratory factor analysis was carried out, both in total sample and split by 2 selected professions. After deriving a factor structure for both professions, internal consistency and scale means were calculated for the subscales. Finally, mean subscale differences between physicians and nurses/midwives were tested. RESULTS: Of 5160 eligible staff, 933 respondents participated. A 6-factor solution explaining 59.1% of total variance was identified. Comparison by profession illustrated that the factor structures and item loading patterns differ between physicians and nurses/midwives. To achieve an overarching solution, 5 items were excluded from consecutive subscale measures because of cross-loadings and contradictory factor loadings. Subscales demonstrated good to low internal consistency (α = 0.794–0.535). Significant mean differences between subscales of professions were found relating to 3 factors. CONCLUSIONS: The German Safety Climate Survey measures safety climate multidimensionally rather than unidimensionally and demonstrated some limitations in factor structures and item loadings but overall had satisfactory reliability of the 6 subscales. |
format | Online Article Text |
id | pubmed-9359777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-93597772022-08-11 Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability Glarcher, Manela Kaiser, Karin Nestler, Nadja Kutschar, Patrick J Patient Saf Original Studies Hospitals are complex organizations with a potential for medical errors that can be influenced by safety culture. Safety climate, as measurable element of safety culture, illustrates the perception of safety-relevant aspects of health care staff at a certain time. The Safety Climate Survey is applied internationally to measure safety climate. However, psychometrics for the German version of the survey have yet not been evaluated. The aim of this study is to explore the factor structure, reliability, and potential usefulness of the Safety Climate Survey in Austrian acute care. METHODS: Cross-sectional surveys of physicians, therapists, and nurses/midwives were implemented. An exploratory factor analysis was carried out, both in total sample and split by 2 selected professions. After deriving a factor structure for both professions, internal consistency and scale means were calculated for the subscales. Finally, mean subscale differences between physicians and nurses/midwives were tested. RESULTS: Of 5160 eligible staff, 933 respondents participated. A 6-factor solution explaining 59.1% of total variance was identified. Comparison by profession illustrated that the factor structures and item loading patterns differ between physicians and nurses/midwives. To achieve an overarching solution, 5 items were excluded from consecutive subscale measures because of cross-loadings and contradictory factor loadings. Subscales demonstrated good to low internal consistency (α = 0.794–0.535). Significant mean differences between subscales of professions were found relating to 3 factors. CONCLUSIONS: The German Safety Climate Survey measures safety climate multidimensionally rather than unidimensionally and demonstrated some limitations in factor structures and item loadings but overall had satisfactory reliability of the 6 subscales. Lippincott Williams & Wilkins 2022-04 2021-08-04 /pmc/articles/PMC9359777/ /pubmed/34347738 http://dx.doi.org/10.1097/PTS.0000000000000888 Text en Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Original Studies Glarcher, Manela Kaiser, Karin Nestler, Nadja Kutschar, Patrick Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability |
title | Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability |
title_full | Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability |
title_fullStr | Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability |
title_full_unstemmed | Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability |
title_short | Psychometric Properties of the Safety Climate Survey in Austrian Acute Care: Factor Structure, Reliability, and Usability |
title_sort | psychometric properties of the safety climate survey in austrian acute care: factor structure, reliability, and usability |
topic | Original Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359777/ https://www.ncbi.nlm.nih.gov/pubmed/34347738 http://dx.doi.org/10.1097/PTS.0000000000000888 |
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