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COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation

OBJECTIVE: Amid the COVID-19 pandemic, social stigma towards COVID-19 infection has become a major component of public discourse and social phenomena. As such, we aimed to develop and validate the COVID-19 Public Stigma Scale (COVID-PSS). DESIGN AND SETTING: National-based survey cross-sectional stu...

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Autores principales: Nochaiwong, Surapon, Ruengorn, Chidchanok, Awiphan, Ratanaporn, Kanjanarat, Penkarn, Ruanta, Yongyuth, Phosuya, Chabaphai, Boonchieng, Waraporn, Nanta, Sirisak, Chongruksut, Wilaiwan, Thavorn, Kednapa, Wongpakaran, Nahathai, Wongpakaran, Tinakon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568532/
https://www.ncbi.nlm.nih.gov/pubmed/34728443
http://dx.doi.org/10.1136/bmjopen-2020-048241
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author Nochaiwong, Surapon
Ruengorn, Chidchanok
Awiphan, Ratanaporn
Kanjanarat, Penkarn
Ruanta, Yongyuth
Phosuya, Chabaphai
Boonchieng, Waraporn
Nanta, Sirisak
Chongruksut, Wilaiwan
Thavorn, Kednapa
Wongpakaran, Nahathai
Wongpakaran, Tinakon
author_facet Nochaiwong, Surapon
Ruengorn, Chidchanok
Awiphan, Ratanaporn
Kanjanarat, Penkarn
Ruanta, Yongyuth
Phosuya, Chabaphai
Boonchieng, Waraporn
Nanta, Sirisak
Chongruksut, Wilaiwan
Thavorn, Kednapa
Wongpakaran, Nahathai
Wongpakaran, Tinakon
author_sort Nochaiwong, Surapon
collection PubMed
description OBJECTIVE: Amid the COVID-19 pandemic, social stigma towards COVID-19 infection has become a major component of public discourse and social phenomena. As such, we aimed to develop and validate the COVID-19 Public Stigma Scale (COVID-PSS). DESIGN AND SETTING: National-based survey cross-sectional study during the lockdown in Thailand. PARTICIPANTS: We invited the 4004 adult public to complete a set of measurement tools, including the COVID-PSS, global fear of COVID-19, perceived risk of COVID-19 infection, Bogardus Social Distance Scale, Pain Intensity Scale and Insomnia Severity Index. METHODS: Factor structure dimensionality was constructed and reaffirmed with model fit by exploratory and confirmatory factor analyses and non-parametric item response theory (IRT) analysis. Psychometric properties for validity and reliability were tested. An anchor-based approach was performed for classifying the proper cut-off scores. RESULTS: After factor analysis, IRT analysis and test for model fit, we created the final 10-item COVID-PSS with a three-factor structure: stereotype, prejudice and fear. Face and content validity were established through the public and experts’ perspectives. The COVID-PSS was significantly correlated (Spearman rank, 95% CI) with the global fear of COVID-19 (0.68, 95% CI 0.66 to 0.70), perceived risk of COVID-19 infection (0.79, 95% CI 0.77 to 0.80) and the Bogardus Social Distance Scale (0.50, 95% CI 0.48 to 0.53), indicating good convergent validity. The correlation statistics between the COVID-PSS and the Pain Intensity Scale and Insomnia Severity Index were <0.2, supporting the discriminant validity. The reliability of the COVID-PSS was satisfactory, with good internal consistency (Cronbach’s α of 0.85, 95% CI 0.84 to 0.86) and test–retest reproducibility (intraclass correlation of 0.94, 95% CI 0.86 to 0.96). The proposed cut-off scores were as follows: no/minimal (≤18), moderate (19–25) and high (≥26) public stigma towards COVID-19 infection. CONCLUSIONS: The COVID-PSS is practical and suitable for measuring stigma towards COVID-19 in a public health survey. However, cross-cultural adaptation may be needed.
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spelling pubmed-85685322021-11-05 COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation Nochaiwong, Surapon Ruengorn, Chidchanok Awiphan, Ratanaporn Kanjanarat, Penkarn Ruanta, Yongyuth Phosuya, Chabaphai Boonchieng, Waraporn Nanta, Sirisak Chongruksut, Wilaiwan Thavorn, Kednapa Wongpakaran, Nahathai Wongpakaran, Tinakon BMJ Open Mental Health OBJECTIVE: Amid the COVID-19 pandemic, social stigma towards COVID-19 infection has become a major component of public discourse and social phenomena. As such, we aimed to develop and validate the COVID-19 Public Stigma Scale (COVID-PSS). DESIGN AND SETTING: National-based survey cross-sectional study during the lockdown in Thailand. PARTICIPANTS: We invited the 4004 adult public to complete a set of measurement tools, including the COVID-PSS, global fear of COVID-19, perceived risk of COVID-19 infection, Bogardus Social Distance Scale, Pain Intensity Scale and Insomnia Severity Index. METHODS: Factor structure dimensionality was constructed and reaffirmed with model fit by exploratory and confirmatory factor analyses and non-parametric item response theory (IRT) analysis. Psychometric properties for validity and reliability were tested. An anchor-based approach was performed for classifying the proper cut-off scores. RESULTS: After factor analysis, IRT analysis and test for model fit, we created the final 10-item COVID-PSS with a three-factor structure: stereotype, prejudice and fear. Face and content validity were established through the public and experts’ perspectives. The COVID-PSS was significantly correlated (Spearman rank, 95% CI) with the global fear of COVID-19 (0.68, 95% CI 0.66 to 0.70), perceived risk of COVID-19 infection (0.79, 95% CI 0.77 to 0.80) and the Bogardus Social Distance Scale (0.50, 95% CI 0.48 to 0.53), indicating good convergent validity. The correlation statistics between the COVID-PSS and the Pain Intensity Scale and Insomnia Severity Index were <0.2, supporting the discriminant validity. The reliability of the COVID-PSS was satisfactory, with good internal consistency (Cronbach’s α of 0.85, 95% CI 0.84 to 0.86) and test–retest reproducibility (intraclass correlation of 0.94, 95% CI 0.86 to 0.96). The proposed cut-off scores were as follows: no/minimal (≤18), moderate (19–25) and high (≥26) public stigma towards COVID-19 infection. CONCLUSIONS: The COVID-PSS is practical and suitable for measuring stigma towards COVID-19 in a public health survey. However, cross-cultural adaptation may be needed. BMJ Publishing Group 2021-11-01 /pmc/articles/PMC8568532/ /pubmed/34728443 http://dx.doi.org/10.1136/bmjopen-2020-048241 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Mental Health
Nochaiwong, Surapon
Ruengorn, Chidchanok
Awiphan, Ratanaporn
Kanjanarat, Penkarn
Ruanta, Yongyuth
Phosuya, Chabaphai
Boonchieng, Waraporn
Nanta, Sirisak
Chongruksut, Wilaiwan
Thavorn, Kednapa
Wongpakaran, Nahathai
Wongpakaran, Tinakon
COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation
title COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation
title_full COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation
title_fullStr COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation
title_full_unstemmed COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation
title_short COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation
title_sort covid-19 public stigma scale (covid-pss): development, validation, psychometric analysis and interpretation
topic Mental Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568532/
https://www.ncbi.nlm.nih.gov/pubmed/34728443
http://dx.doi.org/10.1136/bmjopen-2020-048241
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