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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...

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Autores principales: Kalajahi, Riaz Alaei, Saadati, Mohammad, Aghdash, Saber Azami, Rezapour, Ramin, Nouri, Mehdi, Derakhshani, Naser, Dalal, Koustuv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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.
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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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