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An App-Based Intervention to Support First Responders and Essential Workers During the COVID-19 Pandemic: Needs Assessment and Mixed Methods Implementation Study
BACKGROUND: The COVID-19 pandemic has created unprecedented challenges for first responders (eg, police, fire, and emergency medical services) and nonmedical essential workers (eg, workers in food, transportation, and other industries). Health systems may be uniquely suited to support these workers...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139393/ https://www.ncbi.nlm.nih.gov/pubmed/33878023 http://dx.doi.org/10.2196/26573 |
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author | Vilendrer, Stacie Amano, Alexis Brown Johnson, Cati G Favet, Marissa Safaeinili, Nadia Villasenor, Jacqueline Shaw, Jonathan G Hertelendy, Attila J Asch, Steven M Mahoney, Megan |
author_facet | Vilendrer, Stacie Amano, Alexis Brown Johnson, Cati G Favet, Marissa Safaeinili, Nadia Villasenor, Jacqueline Shaw, Jonathan G Hertelendy, Attila J Asch, Steven M Mahoney, Megan |
author_sort | Vilendrer, Stacie |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has created unprecedented challenges for first responders (eg, police, fire, and emergency medical services) and nonmedical essential workers (eg, workers in food, transportation, and other industries). Health systems may be uniquely suited to support these workers given their medical expertise, and mobile apps can reach local communities despite social distancing requirements. Formal evaluation of real-world mobile appbased interventions is lacking. OBJECTIVE: We aimed to evaluate the adoption, acceptability, and appropriateness of an academic medical centersponsored app-based intervention (COVID-19 Guide App) designed to support access of first responders and essential workers to COVID-19 information and testing services. We also sought to better understand the COVID-19related needs of these workers early in the pandemic. METHODS: To understand overall community adoption, views and download data of the COVID-19 Guide App were described. To understand the adoption, appropriateness, and acceptability of the app and the unmet needs of workers, semistructured qualitative interviews were conducted by telephone, by video, and in person with first responders and essential workers in the San Francisco Bay Area who were recruited through purposive, convenience, and snowball sampling. Interview transcripts and field notes were qualitatively analyzed and presented using an implementation outcomes framework. RESULTS: From its launch in April 2020 to September 2020, the app received 8262 views from unique devices and 6640 downloads (80.4% conversion rate, 0.61% adoption rate across the Bay Area). App acceptability was mixed among the 17 first responders interviewed and high among the 10 essential workers interviewed. Select themes included the need for personalized and accurate information, access to testing, and securing personal safety. First responders faced additional challenges related to interprofessional coordination and a culture of heroism that could both protect against and exacerbate health vulnerability. CONCLUSIONS: First responders and essential workers both reported challenges related to obtaining accurate information, testing services, and other resources. A mobile app intervention has the potential to combat these challenges through the provision of disease-specific information and access to testing services but may be most effective if delivered as part of a larger ecosystem of support. Differentiated interventions that acknowledge and address the divergent needs between first responders and nonfirst responder essential workers may optimize acceptance and adoption. |
format | Online Article Text |
id | pubmed-8139393 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-81393932021-05-25 An App-Based Intervention to Support First Responders and Essential Workers During the COVID-19 Pandemic: Needs Assessment and Mixed Methods Implementation Study Vilendrer, Stacie Amano, Alexis Brown Johnson, Cati G Favet, Marissa Safaeinili, Nadia Villasenor, Jacqueline Shaw, Jonathan G Hertelendy, Attila J Asch, Steven M Mahoney, Megan J Med Internet Res Original Paper BACKGROUND: The COVID-19 pandemic has created unprecedented challenges for first responders (eg, police, fire, and emergency medical services) and nonmedical essential workers (eg, workers in food, transportation, and other industries). Health systems may be uniquely suited to support these workers given their medical expertise, and mobile apps can reach local communities despite social distancing requirements. Formal evaluation of real-world mobile appbased interventions is lacking. OBJECTIVE: We aimed to evaluate the adoption, acceptability, and appropriateness of an academic medical centersponsored app-based intervention (COVID-19 Guide App) designed to support access of first responders and essential workers to COVID-19 information and testing services. We also sought to better understand the COVID-19related needs of these workers early in the pandemic. METHODS: To understand overall community adoption, views and download data of the COVID-19 Guide App were described. To understand the adoption, appropriateness, and acceptability of the app and the unmet needs of workers, semistructured qualitative interviews were conducted by telephone, by video, and in person with first responders and essential workers in the San Francisco Bay Area who were recruited through purposive, convenience, and snowball sampling. Interview transcripts and field notes were qualitatively analyzed and presented using an implementation outcomes framework. RESULTS: From its launch in April 2020 to September 2020, the app received 8262 views from unique devices and 6640 downloads (80.4% conversion rate, 0.61% adoption rate across the Bay Area). App acceptability was mixed among the 17 first responders interviewed and high among the 10 essential workers interviewed. Select themes included the need for personalized and accurate information, access to testing, and securing personal safety. First responders faced additional challenges related to interprofessional coordination and a culture of heroism that could both protect against and exacerbate health vulnerability. CONCLUSIONS: First responders and essential workers both reported challenges related to obtaining accurate information, testing services, and other resources. A mobile app intervention has the potential to combat these challenges through the provision of disease-specific information and access to testing services but may be most effective if delivered as part of a larger ecosystem of support. Differentiated interventions that acknowledge and address the divergent needs between first responders and nonfirst responder essential workers may optimize acceptance and adoption. JMIR Publications 2021-05-20 /pmc/articles/PMC8139393/ /pubmed/33878023 http://dx.doi.org/10.2196/26573 Text en Stacie Vilendrer, Alexis Amano, Cati G Brown Johnson, Marissa Favet, Nadia Safaeinili, Jacqueline Villasenor, Jonathan G Shaw, Attila J Hertelendy, Steven M Asch, Megan Mahoney. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 20.05.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Vilendrer, Stacie Amano, Alexis Brown Johnson, Cati G Favet, Marissa Safaeinili, Nadia Villasenor, Jacqueline Shaw, Jonathan G Hertelendy, Attila J Asch, Steven M Mahoney, Megan An App-Based Intervention to Support First Responders and Essential Workers During the COVID-19 Pandemic: Needs Assessment and Mixed Methods Implementation Study |
title | An App-Based Intervention to Support First Responders and Essential Workers During the COVID-19 Pandemic: Needs Assessment and Mixed Methods Implementation Study |
title_full | An App-Based Intervention to Support First Responders and Essential Workers During the COVID-19 Pandemic: Needs Assessment and Mixed Methods Implementation Study |
title_fullStr | An App-Based Intervention to Support First Responders and Essential Workers During the COVID-19 Pandemic: Needs Assessment and Mixed Methods Implementation Study |
title_full_unstemmed | An App-Based Intervention to Support First Responders and Essential Workers During the COVID-19 Pandemic: Needs Assessment and Mixed Methods Implementation Study |
title_short | An App-Based Intervention to Support First Responders and Essential Workers During the COVID-19 Pandemic: Needs Assessment and Mixed Methods Implementation Study |
title_sort | app-based intervention to support first responders and essential workers during the covid-19 pandemic: needs assessment and mixed methods implementation study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139393/ https://www.ncbi.nlm.nih.gov/pubmed/33878023 http://dx.doi.org/10.2196/26573 |
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