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Structural equation modeling for identification of patient safety antecedents in primary care
BACKGROUND: Patient safety is defined as an activity that minimizes and removes possible errors and injuries to patients. A number of factors have been found to influence patient safety management, including the facilities available in the practice, communication and collaboration, education regardi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439075/ https://www.ncbi.nlm.nih.gov/pubmed/34517844 http://dx.doi.org/10.1186/s12875-021-01533-6 |
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author | Kosiek, Katarzyna Staniec, Iwona Godycki-Cwirko, Maciej Depta, Adam Kowalczyk, Anna |
author_facet | Kosiek, Katarzyna Staniec, Iwona Godycki-Cwirko, Maciej Depta, Adam Kowalczyk, Anna |
author_sort | Kosiek, Katarzyna |
collection | PubMed |
description | BACKGROUND: Patient safety is defined as an activity that minimizes and removes possible errors and injuries to patients. A number of factors have been found to influence patient safety management, including the facilities available in the practice, communication and collaboration, education regarding patient safety and generic conditions. This study tested a theoretical model of patient safety interventions based on safety antecedents. METHODS: Medical professionals were surveyed using a questionnaire developed by Gaal et al. The results were analyzed with SPSS 20 and AMOS. A hypothetical model of direct and indirect effects on patient safety in a primary care environment was created and analyzed using structural equation modeling (SEM). RESULTS: SEM proved to be an effective tool to analyse safety in primary care. The facilities in the practice appear to have no significant influence on patient safety management in the case of female respondents, those below mean age, those who are not GPs (general practitioner) and respondents not working in counselling centres. CONCLUSIONS: The integrated safety model described in the study can improve patient safety management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-021-01533-6. |
format | Online Article Text |
id | pubmed-8439075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84390752021-09-14 Structural equation modeling for identification of patient safety antecedents in primary care Kosiek, Katarzyna Staniec, Iwona Godycki-Cwirko, Maciej Depta, Adam Kowalczyk, Anna BMC Fam Pract Research Article BACKGROUND: Patient safety is defined as an activity that minimizes and removes possible errors and injuries to patients. A number of factors have been found to influence patient safety management, including the facilities available in the practice, communication and collaboration, education regarding patient safety and generic conditions. This study tested a theoretical model of patient safety interventions based on safety antecedents. METHODS: Medical professionals were surveyed using a questionnaire developed by Gaal et al. The results were analyzed with SPSS 20 and AMOS. A hypothetical model of direct and indirect effects on patient safety in a primary care environment was created and analyzed using structural equation modeling (SEM). RESULTS: SEM proved to be an effective tool to analyse safety in primary care. The facilities in the practice appear to have no significant influence on patient safety management in the case of female respondents, those below mean age, those who are not GPs (general practitioner) and respondents not working in counselling centres. CONCLUSIONS: The integrated safety model described in the study can improve patient safety management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-021-01533-6. BioMed Central 2021-09-13 /pmc/articles/PMC8439075/ /pubmed/34517844 http://dx.doi.org/10.1186/s12875-021-01533-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article Kosiek, Katarzyna Staniec, Iwona Godycki-Cwirko, Maciej Depta, Adam Kowalczyk, Anna Structural equation modeling for identification of patient safety antecedents in primary care |
title | Structural equation modeling for identification of patient safety antecedents in primary care |
title_full | Structural equation modeling for identification of patient safety antecedents in primary care |
title_fullStr | Structural equation modeling for identification of patient safety antecedents in primary care |
title_full_unstemmed | Structural equation modeling for identification of patient safety antecedents in primary care |
title_short | Structural equation modeling for identification of patient safety antecedents in primary care |
title_sort | structural equation modeling for identification of patient safety antecedents in primary care |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8439075/ https://www.ncbi.nlm.nih.gov/pubmed/34517844 http://dx.doi.org/10.1186/s12875-021-01533-6 |
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