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Sound psychometric properties of a short new screening tool for patient safety climate: applying a Rasch model analysis
BACKGROUND: WHO recommends repeated measurement of patient safety climate in health care and to support monitoring an 11 item questionnaire on sustainable safety engagement (HSE) has been developed by the Swedish Association of Local Authorities and Regions. This study aimed to validate the psychome...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331975/ https://www.ncbi.nlm.nih.gov/pubmed/37424025 http://dx.doi.org/10.1186/s12913-023-09768-y |
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author | Skyttberg, Niclas Kottorp, Anders Alenius, Lisa Smeds |
author_facet | Skyttberg, Niclas Kottorp, Anders Alenius, Lisa Smeds |
author_sort | Skyttberg, Niclas |
collection | PubMed |
description | BACKGROUND: WHO recommends repeated measurement of patient safety climate in health care and to support monitoring an 11 item questionnaire on sustainable safety engagement (HSE) has been developed by the Swedish Association of Local Authorities and Regions. This study aimed to validate the psychometric properties of the HSE. METHODS: Survey responses (n = 761) from a specialist care provider organization in Sweden was used to evaluate psychometric properties of the HSE 11-item questionnaire. A Rasch model analysis was applied in a stepwise process to evaluate evidence of validity and precision/reliability in relation to rating scale functioning, internal structure, response processes, and precision in estimates. RESULTS: Rating scales met the criteria for monotonical advancement and fit. Local independence was demonstrated for all HSE items. The first latent variable explained 52.2% of the variance. The first ten items demonstrated good fit to the Rasch model and were included in the further analysis and calculation of an index measure based on the raw scores. Less than 5% of the respondents demonstrated low person goodness-of-fit. Person separation index > 2. The flooring effect was negligible and the ceiling effect 5.7%. No differential item functioning was shown regarding gender, time of employment, role within organization or employee net promotor scores. The correlation coefficient between the HSE mean value index and the Rasch-generated unidimensional measures of the HSE 10-item scale was r = .95 (p < .01). CONCLUSIONS: This study shows that an eleven-item questionnaire can be used to measure a common dimension of staff perceptions on patient safety. The responses can be used to calculate an index that enables benchmarking and identification of at least three different levels of patient safety climate. This study explores a single point in time, but further studies may support the use of the instrument to follow development of the patient safety climate over time by repeated measurement. |
format | Online Article Text |
id | pubmed-10331975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103319752023-07-11 Sound psychometric properties of a short new screening tool for patient safety climate: applying a Rasch model analysis Skyttberg, Niclas Kottorp, Anders Alenius, Lisa Smeds BMC Health Serv Res Research BACKGROUND: WHO recommends repeated measurement of patient safety climate in health care and to support monitoring an 11 item questionnaire on sustainable safety engagement (HSE) has been developed by the Swedish Association of Local Authorities and Regions. This study aimed to validate the psychometric properties of the HSE. METHODS: Survey responses (n = 761) from a specialist care provider organization in Sweden was used to evaluate psychometric properties of the HSE 11-item questionnaire. A Rasch model analysis was applied in a stepwise process to evaluate evidence of validity and precision/reliability in relation to rating scale functioning, internal structure, response processes, and precision in estimates. RESULTS: Rating scales met the criteria for monotonical advancement and fit. Local independence was demonstrated for all HSE items. The first latent variable explained 52.2% of the variance. The first ten items demonstrated good fit to the Rasch model and were included in the further analysis and calculation of an index measure based on the raw scores. Less than 5% of the respondents demonstrated low person goodness-of-fit. Person separation index > 2. The flooring effect was negligible and the ceiling effect 5.7%. No differential item functioning was shown regarding gender, time of employment, role within organization or employee net promotor scores. The correlation coefficient between the HSE mean value index and the Rasch-generated unidimensional measures of the HSE 10-item scale was r = .95 (p < .01). CONCLUSIONS: This study shows that an eleven-item questionnaire can be used to measure a common dimension of staff perceptions on patient safety. The responses can be used to calculate an index that enables benchmarking and identification of at least three different levels of patient safety climate. This study explores a single point in time, but further studies may support the use of the instrument to follow development of the patient safety climate over time by repeated measurement. BioMed Central 2023-07-10 /pmc/articles/PMC10331975/ /pubmed/37424025 http://dx.doi.org/10.1186/s12913-023-09768-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Skyttberg, Niclas Kottorp, Anders Alenius, Lisa Smeds Sound psychometric properties of a short new screening tool for patient safety climate: applying a Rasch model analysis |
title | Sound psychometric properties of a short new screening tool for patient safety climate: applying a Rasch model analysis |
title_full | Sound psychometric properties of a short new screening tool for patient safety climate: applying a Rasch model analysis |
title_fullStr | Sound psychometric properties of a short new screening tool for patient safety climate: applying a Rasch model analysis |
title_full_unstemmed | Sound psychometric properties of a short new screening tool for patient safety climate: applying a Rasch model analysis |
title_short | Sound psychometric properties of a short new screening tool for patient safety climate: applying a Rasch model analysis |
title_sort | sound psychometric properties of a short new screening tool for patient safety climate: applying a rasch model analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331975/ https://www.ncbi.nlm.nih.gov/pubmed/37424025 http://dx.doi.org/10.1186/s12913-023-09768-y |
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