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Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire
BACKGROUND: Public trust is a crucial concept in the COVID-19 pandemic, which determines public adherence with preventive rules as a success factor for disease management. This study aimed to develop and validate a tool to measure public trust in COVID-19 control and prevention policies (COV-Trust t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589749/ https://www.ncbi.nlm.nih.gov/pubmed/36280814 http://dx.doi.org/10.1186/s12889-022-14272-9 |
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author | Kalajahi, Riaz Alaei Saadati, Mohammad Aghdash, Saber Azami Rezapour, Ramin Nouri, Mehdi Derakhshani, Naser Dalal, Koustuv |
author_facet | Kalajahi, Riaz Alaei Saadati, Mohammad Aghdash, Saber Azami Rezapour, Ramin Nouri, Mehdi Derakhshani, Naser Dalal, Koustuv |
author_sort | Kalajahi, Riaz Alaei |
collection | PubMed |
description | BACKGROUND: Public trust is a crucial concept in the COVID-19 pandemic, which determines public adherence with preventive rules as a success factor for disease management. This study aimed to develop and validate a tool to measure public trust in COVID-19 control and prevention policies (COV-Trust tool). METHODS: This is a psychometric study that was conducted in 2020 (March-August). A primary tool was developed through literature review, in-depth interviews with experts and expert panel meetings. Content and construct validity was evaluated using content validity index (CVI) and content validity ratio (CVR) indexes and exploratory and confirmatory factor analysis, respectively. Cronbach α coefficient was calculated to determine the internal consistency. RESULTS: A 28-item questionnaire with seven factors was developed. Factors included macro policy-making and management of pandemic, pandemic control policies implementing at all levels and their effectiveness, providing protective equipment and medicine for hospitals and public, prevention of negative socio-economic consequences of the pandemic, public participation, informing and public education and public behavior. The questionnaire reliability was calculated to be α = 0.959. Based on the experts’ opinion, tool content validity was estimated to be CVR = 0.73, CVI = 0.89. RMSEA = 0.07 revealed a good model fit as the confirmatory factor analysis results for the tool. CONCLUSION: COV-Trust tool is a well-fit tool to be used during this pandemic for improving policies effectiveness and could be used in similar situations as it determines the success of public health interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14272-9. |
format | Online Article Text |
id | pubmed-9589749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95897492022-10-24 Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire Kalajahi, Riaz Alaei Saadati, Mohammad Aghdash, Saber Azami Rezapour, Ramin Nouri, Mehdi Derakhshani, Naser Dalal, Koustuv BMC Public Health Research BACKGROUND: Public trust is a crucial concept in the COVID-19 pandemic, which determines public adherence with preventive rules as a success factor for disease management. This study aimed to develop and validate a tool to measure public trust in COVID-19 control and prevention policies (COV-Trust tool). METHODS: This is a psychometric study that was conducted in 2020 (March-August). A primary tool was developed through literature review, in-depth interviews with experts and expert panel meetings. Content and construct validity was evaluated using content validity index (CVI) and content validity ratio (CVR) indexes and exploratory and confirmatory factor analysis, respectively. Cronbach α coefficient was calculated to determine the internal consistency. RESULTS: A 28-item questionnaire with seven factors was developed. Factors included macro policy-making and management of pandemic, pandemic control policies implementing at all levels and their effectiveness, providing protective equipment and medicine for hospitals and public, prevention of negative socio-economic consequences of the pandemic, public participation, informing and public education and public behavior. The questionnaire reliability was calculated to be α = 0.959. Based on the experts’ opinion, tool content validity was estimated to be CVR = 0.73, CVI = 0.89. RMSEA = 0.07 revealed a good model fit as the confirmatory factor analysis results for the tool. CONCLUSION: COV-Trust tool is a well-fit tool to be used during this pandemic for improving policies effectiveness and could be used in similar situations as it determines the success of public health interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14272-9. BioMed Central 2022-10-24 /pmc/articles/PMC9589749/ /pubmed/36280814 http://dx.doi.org/10.1186/s12889-022-14272-9 Text en © The Author(s) 2022 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 Kalajahi, Riaz Alaei Saadati, Mohammad Aghdash, Saber Azami Rezapour, Ramin Nouri, Mehdi Derakhshani, Naser Dalal, Koustuv Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire |
title | Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire |
title_full | Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire |
title_fullStr | Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire |
title_full_unstemmed | Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire |
title_short | Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire |
title_sort | psychometric properties of public trust in covid-19 control and prevention policies questionnaire |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589749/ https://www.ncbi.nlm.nih.gov/pubmed/36280814 http://dx.doi.org/10.1186/s12889-022-14272-9 |
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