AutomedicationFrancoV1, Main, Exploration, bibRecord, 000649

Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation.

Identifieur interne : 000649 ( Main/Exploration ); précédent : 000648; suivant : 000650

Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation.

Auteurs : Luiza Siqueira Do Prado [France] ; Camille Carpentier [France] ; Marie Preau [France] ; Anne-Marie Schott [France] ; Alexandra Lelia Dima [France]

Source :

JMIR mHealth and uHealth [ 2291-5222 ] ; 2019.

RBID : pubmed:31452522

Descripteurs français

KwdFr :
- Accessibilité des services de santé (normes), Accessibilité des services de santé (tendances), Applications mobiles (ressources et distribution), Applications mobiles (tendances), France (MeSH), Gestion de soi (méthodes), Humains (MeSH), Prestations des soins de santé (méthodes), Qualité de vie (psychologie), Thérapie comportementale (instrumentation), Thérapie comportementale (méthodes).
MESH :
- méthodes : Gestion de soi, Prestations des soins de santé, Thérapie comportementale.
- normes : Accessibilité des services de santé.
- psychologie : Qualité de vie.
- ressources et distribution : Applications mobiles.
- tendances : Accessibilité des services de santé, Applications mobiles.
- France, Humains, Thérapie comportementale.
Wicri :
- geographic : France.

English descriptors

KwdEn :
- Behavior Therapy (instrumentation), Behavior Therapy (methods), Delivery of Health Care (methods), France (MeSH), Health Services Accessibility (standards), Health Services Accessibility (trends), Humans (MeSH), Mobile Applications (supply & distribution), Mobile Applications (trends), Quality of Life (psychology), Self-Management (methods).
MESH :
- geographic : France.
- instrumentation : Behavior Therapy.
- methods : Behavior Therapy, Delivery of Health Care, Self-Management.
- psychology : Quality of Life.
- standards : Health Services Accessibility.
- supply & distribution : Mobile Applications.
- trends : Health Services Accessibility, Mobile Applications.
- Humans.

Abstract

BACKGROUND

The quality of life of people living with chronic conditions is highly dependent on self-management behaviors. Mobile health (mHealth) apps could facilitate self-management and thus help improve population health. To achieve their potential, apps need to target specific behaviors with appropriate techniques that support change and do so in a way that allows users to understand and act upon the content with which they interact.

OBJECTIVE

Our objective was to identify apps targeted toward the self-management of chronic conditions and that are available in France. We aimed to examine what target behaviors and behavior change techniques (BCTs) they include, their level of understandability and actionability, and the associations between these characteristics.

METHODS

We extracted data from the Google Play store on apps labelled as Top in the Medicine category. We also extracted data on apps that were found through 12 popular terms (ie, keywords) for the four most common chronic condition groups-cardiovascular diseases, cancers, respiratory diseases, and diabetes-along with apps identified through a literature search. We selected and downloaded native Android apps available in French for the self-management of any chronic condition in one of the four groups and extracted background characteristics (eg, stars and number of ratings), coded the presence of target behaviors and BCTs using the BCT taxonomy, and coded the understandability and actionability of apps using the Patient Education Material Assessment Tool for audiovisual materials (PEMAT-A/V). We performed descriptive statistics and bivariate statistical tests.

RESULTS

A total of 44 distinct native apps were available for download in France and in French: 39 (89%) were found via the Google Play store and 5 (11%) were found via literature search. A total of 19 (43%) apps were for diabetes, 10 for cardiovascular diseases (23%), 8 for more than one condition in the four groups (18%), 6 for respiratory diseases (14%), and 1 for cancer (2%). The median number of target behaviors per app was 2 (range 0-7) and of BCTs per app was 3 (range 0-12). The most common BCT was self-monitoring of outcome(s) of behavior (31 apps), while the most common target behavior was tracking symptoms (30 apps). The median level of understandability was 42% and of actionability was 0%. Apps with more target behaviors and more BCTs were also more understandable (ρ=.31, P=.04 and ρ=.35, P=.02, respectively), but were not significantly more actionable (ρ=.24, P=.12 and ρ=.29, P=.054, respectively).

CONCLUSIONS

These apps target few behaviors and include few BCTs, limiting their potential for behavior change. While content is moderately understandable, clear instructions on when and how to act are uncommon. Developers need to work closely with health professionals, users, and behavior change experts to improve content and format so apps can better support patients in coping with chronic conditions. Developers may use these criteria for assessing content and format to guide app development and evaluation of app performance.

TRIAL REGISTRATION

PROSPERO CRD42018094012; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=94012.

DOI: 10.2196/13494
PubMed: 31452522
PubMed Central: PMC6735304

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000372
to stream Main, to step Curation: 000372

Le document en format XML

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<series><title level="j">JMIR mHealth and uHealth</title>
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<term>France (MeSH)</term>
<term>Health Services Accessibility (standards)</term>
<term>Health Services Accessibility (trends)</term>
<term>Humans (MeSH)</term>
<term>Mobile Applications (supply & distribution)</term>
<term>Mobile Applications (trends)</term>
<term>Quality of Life (psychology)</term>
<term>Self-Management (methods)</term>
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<term>Accessibilité des services de santé (tendances)</term>
<term>Applications mobiles (ressources et distribution)</term>
<term>Applications mobiles (tendances)</term>
<term>France (MeSH)</term>
<term>Gestion de soi (méthodes)</term>
<term>Humains (MeSH)</term>
<term>Prestations des soins de santé (méthodes)</term>
<term>Qualité de vie (psychologie)</term>
<term>Thérapie comportementale (instrumentation)</term>
<term>Thérapie comportementale (méthodes)</term>
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<keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Behavior Therapy</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Behavior Therapy</term>
<term>Delivery of Health Care</term>
<term>Self-Management</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Gestion de soi</term>
<term>Prestations des soins de santé</term>
<term>Thérapie comportementale</term>
</keywords>
<keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Accessibilité des services de santé</term>
</keywords>
<keywords scheme="MESH" qualifier="psychologie" xml:lang="fr"><term>Qualité de vie</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Quality of Life</term>
</keywords>
<keywords scheme="MESH" qualifier="ressources et distribution" xml:lang="fr"><term>Applications mobiles</term>
</keywords>
<keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Health Services Accessibility</term>
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<term>Applications mobiles</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>The quality of life of people living with chronic conditions is highly dependent on self-management behaviors. Mobile health (mHealth) apps could facilitate self-management and thus help improve population health. To achieve their potential, apps need to target specific behaviors with appropriate techniques that support change and do so in a way that allows users to understand and act upon the content with which they interact.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>Our objective was to identify apps targeted toward the self-management of chronic conditions and that are available in France. We aimed to examine what target behaviors and behavior change techniques (BCTs) they include, their level of understandability and actionability, and the associations between these characteristics.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>We extracted data from the Google Play store on apps labelled as Top in the Medicine category. We also extracted data on apps that were found through 12 popular terms (ie, keywords) for the four most common chronic condition groups-cardiovascular diseases, cancers, respiratory diseases, and diabetes-along with apps identified through a literature search. We selected and downloaded native Android apps available in French for the self-management of any chronic condition in one of the four groups and extracted background characteristics (eg, stars and number of ratings), coded the presence of target behaviors and BCTs using the BCT taxonomy, and coded the understandability and actionability of apps using the Patient Education Material Assessment Tool for audiovisual materials (PEMAT-A/V). We performed descriptive statistics and bivariate statistical tests.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>A total of 44 distinct native apps were available for download in France and in French: 39 (89%) were found via the Google Play store and 5 (11%) were found via literature search. A total of 19 (43%) apps were for diabetes, 10 for cardiovascular diseases (23%), 8 for more than one condition in the four groups (18%), 6 for respiratory diseases (14%), and 1 for cancer (2%). The median number of target behaviors per app was 2 (range 0-7) and of BCTs per app was 3 (range 0-12). The most common BCT was self-monitoring of outcome(s) of behavior (31 apps), while the most common target behavior was tracking symptoms (30 apps). The median level of understandability was 42% and of actionability was 0%. Apps with more target behaviors and more BCTs were also more understandable (ρ=.31, P=.04 and ρ=.35, P=.02, respectively), but were not significantly more actionable (ρ=.24, P=.12 and ρ=.29, P=.054, respectively).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>These apps target few behaviors and include few BCTs, limiting their potential for behavior change. While content is moderately understandable, clear instructions on when and how to act are uncommon. Developers need to work closely with health professionals, users, and behavior change experts to improve content and format so apps can better support patients in coping with chronic conditions. Developers may use these criteria for assessing content and format to guide app development and evaluation of app performance.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>TRIAL REGISTRATION</b>
</p>
<p>PROSPERO CRD42018094012; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=94012.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
<Month>08</Month>
<Day>24</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>08</Month>
<Day>24</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2291-5222</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>7</Volume>
<Issue>8</Issue>
<PubDate><Year>2019</Year>
<Month>08</Month>
<Day>26</Day>
</PubDate>
</JournalIssue>
<Title>JMIR mHealth and uHealth</Title>
<ISOAbbreviation>JMIR Mhealth Uhealth</ISOAbbreviation>
</Journal>
<ArticleTitle>Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation.</ArticleTitle>
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<ELocationID EIdType="doi" ValidYN="Y">10.2196/13494</ELocationID>
<Abstract><AbstractText Label="BACKGROUND">The quality of life of people living with chronic conditions is highly dependent on self-management behaviors. Mobile health (mHealth) apps could facilitate self-management and thus help improve population health. To achieve their potential, apps need to target specific behaviors with appropriate techniques that support change and do so in a way that allows users to understand and act upon the content with which they interact.</AbstractText>
<AbstractText Label="OBJECTIVE">Our objective was to identify apps targeted toward the self-management of chronic conditions and that are available in France. We aimed to examine what target behaviors and behavior change techniques (BCTs) they include, their level of understandability and actionability, and the associations between these characteristics.</AbstractText>
<AbstractText Label="METHODS">We extracted data from the Google Play store on apps labelled as Top in the Medicine category. We also extracted data on apps that were found through 12 popular terms (ie, keywords) for the four most common chronic condition groups-cardiovascular diseases, cancers, respiratory diseases, and diabetes-along with apps identified through a literature search. We selected and downloaded native Android apps available in French for the self-management of any chronic condition in one of the four groups and extracted background characteristics (eg, stars and number of ratings), coded the presence of target behaviors and BCTs using the BCT taxonomy, and coded the understandability and actionability of apps using the Patient Education Material Assessment Tool for audiovisual materials (PEMAT-A/V). We performed descriptive statistics and bivariate statistical tests.</AbstractText>
<AbstractText Label="RESULTS">A total of 44 distinct native apps were available for download in France and in French: 39 (89%) were found via the Google Play store and 5 (11%) were found via literature search. A total of 19 (43%) apps were for diabetes, 10 for cardiovascular diseases (23%), 8 for more than one condition in the four groups (18%), 6 for respiratory diseases (14%), and 1 for cancer (2%). The median number of target behaviors per app was 2 (range 0-7) and of BCTs per app was 3 (range 0-12). The most common BCT was self-monitoring of outcome(s) of behavior (31 apps), while the most common target behavior was tracking symptoms (30 apps). The median level of understandability was 42% and of actionability was 0%. Apps with more target behaviors and more BCTs were also more understandable (ρ=.31, P=.04 and ρ=.35, P=.02, respectively), but were not significantly more actionable (ρ=.24, P=.12 and ρ=.29, P=.054, respectively).</AbstractText>
<AbstractText Label="CONCLUSIONS">These apps target few behaviors and include few BCTs, limiting their potential for behavior change. While content is moderately understandable, clear instructions on when and how to act are uncommon. Developers need to work closely with health professionals, users, and behavior change experts to improve content and format so apps can better support patients in coping with chronic conditions. Developers may use these criteria for assessing content and format to guide app development and evaluation of app performance.</AbstractText>
<AbstractText Label="TRIAL REGISTRATION">PROSPERO CRD42018094012; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=94012.</AbstractText>
<CopyrightInformation>©Luiza Siqueira do Prado, Camille Carpentier, Marie Preau, Anne-Marie Schott, Alexandra Lelia Dima. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 26.08.2019.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Siqueira do Prado</LastName>
<ForeName>Luiza</ForeName>
<Initials>L</Initials>
<Identifier Source="ORCID">0000-0001-8134-6246</Identifier>
<AffiliationInfo><Affiliation>Équipe d'Accueil 7425 Health Services and Performance Research, Université de Lyon, Lyon, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Carpentier</LastName>
<ForeName>Camille</ForeName>
<Initials>C</Initials>
<Identifier Source="ORCID">0000-0003-3398-0909</Identifier>
<AffiliationInfo><Affiliation>Équipe d'Accueil 4163 Groupe de Recherche en Psychologie Sociale, Psychology Institute, Université Lumière Lyon 2, Bron, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Preau</LastName>
<ForeName>Marie</ForeName>
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Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation.

Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation.

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