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Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness
BACKGROUND: In order to make informed COVID-19 related decisions, individuals need information about their personal risks and how those risks may vary with specific demographic and health characteristics. The Fight COVID MKE web=based risk assessment tool allows for assessment of COVID-19 mortality...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558436/ https://www.ncbi.nlm.nih.gov/pubmed/36238711 http://dx.doi.org/10.21203/rs.3.rs-2005098/v1 |
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author | Keval, Aliyah Titi, Mohammad Saleh, Hadi Omar Young, Staci Gomez, Julia Dickson Atanisov, Vladimir Black, Bernard Meurer, John |
author_facet | Keval, Aliyah Titi, Mohammad Saleh, Hadi Omar Young, Staci Gomez, Julia Dickson Atanisov, Vladimir Black, Bernard Meurer, John |
author_sort | Keval, Aliyah |
collection | PubMed |
description | BACKGROUND: In order to make informed COVID-19 related decisions, individuals need information about their personal risks and how those risks may vary with specific demographic and health characteristics. The Fight COVID MKE web=based risk assessment tool allows for assessment of COVID-19 mortality risk as a function of personal and neighborhood characteristics. The purpose of this study is to explore public understanding of this risk assessment tool and risk perception through community focus groups. METHODS: Individuals were recruited from Milwaukee County to participate in nine online focus groups where the risk assessment tool was presented for feedback. Focus group transcripts were then analyzed qualitatively for common themes using MAXQDA. RESULTS: Three main themes were identified in the focus groups regarding the web-based risk assessment tool: access, understanding, and usefulness. CONCLUSIONS: This paper explores how members of the community interpret individual risk assessments and life expectancy estimations, and how these vary with age, gender, race/ethnicity, socioeconomic status, and pre-existing comorbidities. Understanding COVID-19 infection and progression rates, and how they vary with a full set of patient-specific characteristics is critical for effective policy and practice responses to the COVID-19 pandemic as well as for future infection outbreaks |
format | Online Article Text |
id | pubmed-9558436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-95584362022-10-14 Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness Keval, Aliyah Titi, Mohammad Saleh, Hadi Omar Young, Staci Gomez, Julia Dickson Atanisov, Vladimir Black, Bernard Meurer, John Res Sq Article BACKGROUND: In order to make informed COVID-19 related decisions, individuals need information about their personal risks and how those risks may vary with specific demographic and health characteristics. The Fight COVID MKE web=based risk assessment tool allows for assessment of COVID-19 mortality risk as a function of personal and neighborhood characteristics. The purpose of this study is to explore public understanding of this risk assessment tool and risk perception through community focus groups. METHODS: Individuals were recruited from Milwaukee County to participate in nine online focus groups where the risk assessment tool was presented for feedback. Focus group transcripts were then analyzed qualitatively for common themes using MAXQDA. RESULTS: Three main themes were identified in the focus groups regarding the web-based risk assessment tool: access, understanding, and usefulness. CONCLUSIONS: This paper explores how members of the community interpret individual risk assessments and life expectancy estimations, and how these vary with age, gender, race/ethnicity, socioeconomic status, and pre-existing comorbidities. Understanding COVID-19 infection and progression rates, and how they vary with a full set of patient-specific characteristics is critical for effective policy and practice responses to the COVID-19 pandemic as well as for future infection outbreaks American Journal Experts 2022-10-05 /pmc/articles/PMC9558436/ /pubmed/36238711 http://dx.doi.org/10.21203/rs.3.rs-2005098/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. https://creativecommons.org/licenses/by/4.0/License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Article Keval, Aliyah Titi, Mohammad Saleh, Hadi Omar Young, Staci Gomez, Julia Dickson Atanisov, Vladimir Black, Bernard Meurer, John Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness |
title | Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness |
title_full | Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness |
title_fullStr | Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness |
title_full_unstemmed | Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness |
title_short | Community focus groups about a COVID-19 individual risk assessment tool: access, understanding and usefulness |
title_sort | community focus groups about a covid-19 individual risk assessment tool: access, understanding and usefulness |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558436/ https://www.ncbi.nlm.nih.gov/pubmed/36238711 http://dx.doi.org/10.21203/rs.3.rs-2005098/v1 |
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