Development and Usability Testing of a Web-based COVID-19 Self-triage Platform.
Identifieur interne : 000105 ( Main/Curation ); précédent : 000104; suivant : 000106Development and Usability Testing of a Web-based COVID-19 Self-triage Platform.
Auteurs : Justin D. Schrager [Géorgie (pays)] ; Keke Schuler [États-Unis] ; Alexander P. Isakov [Géorgie (pays)] ; David W. Wright [Géorgie (pays)] ; Anna Q. Yaffee [Géorgie (pays)] ; Kara L. Jacobson [Géorgie (pays)] ; Ruth M. Parker [Géorgie (pays)] ; Craig Goolsby [États-Unis]Source :
- The western journal of emergency medicine [ 1936-9018 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Autosoins (méthodes), Betacoronavirus (MeSH), Compréhension (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (diagnostic), Infections à coronavirus (thérapie), Interface utilisateur (MeSH), Internet (MeSH), Jeune adulte (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (thérapie), Rappel mnésique (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Triage (méthodes), Études de faisabilité (MeSH), Études transversales (MeSH).
- MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- méthodes : Autosoins, Triage.
- thérapie : Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Compréhension, Femelle, Humains, Interface utilisateur, Internet, Jeune adulte, Mâle, Pandémies, Rappel mnésique, Sujet âgé, Sujet âgé de 80 ans ou plus, Études de faisabilité, Études transversales.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), Comprehension (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (therapy), Cross-Sectional Studies (MeSH), Feasibility Studies (MeSH), Female (MeSH), Humans (MeSH), Internet (MeSH), Male (MeSH), Mental Recall (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnosis), Pneumonia, Viral (therapy), Self Care (methods), Triage (methods), User-Computer Interface (MeSH), Young Adult (MeSH).
- MESH :
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- methods : Self Care, Triage.
- therapy : Coronavirus Infections, Pneumonia, Viral.
- Adult, Aged, Aged, 80 and over, Betacoronavirus, Comprehension, Cross-Sectional Studies, Feasibility Studies, Female, Humans, Internet, Male, Mental Recall, Middle Aged, Pandemics, User-Computer Interface, Young Adult.
Abstract
INTRODUCTION
The development and deployment of a web-based, self-triage tool for severe respiratory syndrome coronavirus 2 (COVID-19 disease) aimed at preventing surges in healthcare utilization could provide easily understandable health guidance with the goal of mitigating unnecessary emergency department (ED) and healthcare visits. We describe the iterative development and usability testing of such a tool. We hypothesized that adult users could understand and recall the recommendations provided by a COVID-19 web-based, self-triage tool.
METHODS
We convened a multidisciplinary panel of medical experts at two academic medical schools in an iterative redesign process of a previously validated web-based, epidemic screening tool for the current COVID-19 pandemic. We then conducted a cross-sectional usability study over a 24-hour period among faculty, staff, and students at the two participating universities. Participants were randomly assigned a pre-written health script to enter into the self-triage website for testing. The primary outcome was immediate recall of website recommendations. Secondary outcomes included usability measures. We stratified outcomes by demographic characteristics.
RESULTS
A final sample of 877 participants (mean age, 32 years [range, 19-84 years]; 65.3% female) was used in the analysis. We found that 79.4% of the participants accurately recalled the recommendations provided by the website. Almost all participants (96.9%) found the website easy to use and navigate.
CONCLUSION
Adult users of a COVID-19 self-triage website, recruited from an academic setting, were able to successfully recall self-care instructions from the website and found it user-friendly. This website appears to be a feasible way to provide evidence-based health guidance to adult patients during a pandemic. Website guidance could be used to reduce unnecessary ED and healthcare visits.
DOI: 10.5811/westjem.2020.7.48217
PubMed: 32970554
PubMed Central: PMC7514387
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Comprehension (MeSH)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (therapy)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Feasibility Studies (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Internet (MeSH)</term>
<term>Male (MeSH)</term>
<term>Mental Recall (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (therapy)</term>
<term>Self Care (methods)</term>
<term>Triage (methods)</term>
<term>User-Computer Interface (MeSH)</term>
<term>Young Adult (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Autosoins (méthodes)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Compréhension (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (thérapie)</term>
<term>Interface utilisateur (MeSH)</term>
<term>Internet (MeSH)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (thérapie)</term>
<term>Rappel mnésique (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Triage (méthodes)</term>
<term>Études de faisabilité (MeSH)</term>
<term>Études transversales (MeSH)</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Self Care</term>
<term>Triage</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Autosoins</term>
<term>Triage</term>
</keywords>
<keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="thérapie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
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<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Betacoronavirus</term>
<term>Comprehension</term>
<term>Cross-Sectional Studies</term>
<term>Feasibility Studies</term>
<term>Female</term>
<term>Humans</term>
<term>Internet</term>
<term>Male</term>
<term>Mental Recall</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>User-Computer Interface</term>
<term>Young Adult</term>
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<term>Adulte d'âge moyen</term>
<term>Betacoronavirus</term>
<term>Compréhension</term>
<term>Femelle</term>
<term>Humains</term>
<term>Interface utilisateur</term>
<term>Internet</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Rappel mnésique</term>
<term>Sujet âgé</term>
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<front><div type="abstract" xml:lang="en"><p><b>INTRODUCTION</b>
</p>
<p>The development and deployment of a web-based, self-triage tool for severe respiratory syndrome coronavirus 2 (COVID-19 disease) aimed at preventing surges in healthcare utilization could provide easily understandable health guidance with the goal of mitigating unnecessary emergency department (ED) and healthcare visits. We describe the iterative development and usability testing of such a tool. We hypothesized that adult users could understand and recall the recommendations provided by a COVID-19 web-based, self-triage tool.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>We convened a multidisciplinary panel of medical experts at two academic medical schools in an iterative redesign process of a previously validated web-based, epidemic screening tool for the current COVID-19 pandemic. We then conducted a cross-sectional usability study over a 24-hour period among faculty, staff, and students at the two participating universities. Participants were randomly assigned a pre-written health script to enter into the self-triage website for testing. The primary outcome was immediate recall of website recommendations. Secondary outcomes included usability measures. We stratified outcomes by demographic characteristics.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>A final sample of 877 participants (mean age, 32 years [range, 19-84 years]; 65.3% female) was used in the analysis. We found that 79.4% of the participants accurately recalled the recommendations provided by the website. Almost all participants (96.9%) found the website easy to use and navigate.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>Adult users of a COVID-19 self-triage website, recruited from an academic setting, were able to successfully recall self-care instructions from the website and found it user-friendly. This website appears to be a feasible way to provide evidence-based health guidance to adult patients during a pandemic. Website guidance could be used to reduce unnecessary ED and healthcare visits.</p>
</div>
</front>
</TEI>
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<Title>The western journal of emergency medicine</Title>
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<ArticleTitle>Development and Usability Testing of a Web-based COVID-19 Self-triage Platform.</ArticleTitle>
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<Abstract><AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">The development and deployment of a web-based, self-triage tool for severe respiratory syndrome coronavirus 2 (COVID-19 disease) aimed at preventing surges in healthcare utilization could provide easily understandable health guidance with the goal of mitigating unnecessary emergency department (ED) and healthcare visits. We describe the iterative development and usability testing of such a tool. We hypothesized that adult users could understand and recall the recommendations provided by a COVID-19 web-based, self-triage tool.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We convened a multidisciplinary panel of medical experts at two academic medical schools in an iterative redesign process of a previously validated web-based, epidemic screening tool for the current COVID-19 pandemic. We then conducted a cross-sectional usability study over a 24-hour period among faculty, staff, and students at the two participating universities. Participants were randomly assigned a pre-written health script to enter into the self-triage website for testing. The primary outcome was immediate recall of website recommendations. Secondary outcomes included usability measures. We stratified outcomes by demographic characteristics.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">A final sample of 877 participants (mean age, 32 years [range, 19-84 years]; 65.3% female) was used in the analysis. We found that 79.4% of the participants accurately recalled the recommendations provided by the website. Almost all participants (96.9%) found the website easy to use and navigate.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Adult users of a COVID-19 self-triage website, recruited from an academic setting, were able to successfully recall self-care instructions from the website and found it user-friendly. This website appears to be a feasible way to provide evidence-based health guidance to adult patients during a pandemic. Website guidance could be used to reduce unnecessary ED and healthcare visits.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Schrager</LastName>
<ForeName>Justin D</ForeName>
<Initials>JD</Initials>
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</AffiliationInfo>
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<AffiliationInfo><Affiliation>National Center for Disaster Medicine and Public Health, Department, Bethesda, Maryland.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Isakov</LastName>
<ForeName>Alexander P</ForeName>
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<AffiliationInfo><Affiliation>Emory University School of Medicine, Department of Emergency Medicine, Atlanta, Georgia.</Affiliation>
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<Initials>DW</Initials>
<AffiliationInfo><Affiliation>Emory University School of Medicine, Department of Emergency Medicine, Atlanta, Georgia.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Yaffee</LastName>
<ForeName>Anna Q</ForeName>
<Initials>AQ</Initials>
<AffiliationInfo><Affiliation>Emory University School of Medicine, Department of Emergency Medicine, Atlanta, Georgia.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Jacobson</LastName>
<ForeName>Kara L</ForeName>
<Initials>KL</Initials>
<AffiliationInfo><Affiliation>Rollins School of Public Health, Department of Health Policy and Management, Atlanta, Georgia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Parker</LastName>
<ForeName>Ruth M</ForeName>
<Initials>RM</Initials>
<AffiliationInfo><Affiliation>Emory University School of Medicine, Department of Emergency Medicine, Atlanta, Georgia.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Goolsby</LastName>
<ForeName>Craig</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Uniformed Services University of the Health Sciences, Department of Military and Emergency Medicine, Bethesda, Maryland.</Affiliation>
</AffiliationInfo>
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<Language>eng</Language>
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<PublicationType UI="D016449">Randomized Controlled Trial</PublicationType>
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