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The development and codesign of the PATHway intervention: a theory-driven eHealth platform for the self-management of cardiovascular disease.

Identifieur interne : 000401 ( Main/Exploration ); précédent : 000400; suivant : 000402

The development and codesign of the PATHway intervention: a theory-driven eHealth platform for the self-management of cardiovascular disease.

Auteurs : Deirdre M J. Walsh [Irlande (pays)] ; Kieran Moran [Irlande (pays)] ; Veronique Cornelissen [Belgique] ; Roselien Buys [Belgique] ; Jomme Claes [Belgique] ; Paolo Zampognaro [Italie] ; Fabio Melillo [Italie] ; Nicos Maglaveras [Grèce] ; Ioanna Chouvarda [Grèce] ; Andreas Triantafyllidis [Grèce] ; Dimitris Filos [Grèce] ; Catherine B. Woods [Irlande (pays)]

Source :

RBID : pubmed:29554380

Descripteurs français

English descriptors

Abstract

Cardiovascular diseases (CVDs) are a leading cause of premature death worldwide. International guidelines recommend routine delivery of all phases of cardiac rehabilitation (CR). Uptake of traditional CR remains suboptimal, as attendance at formal hospital-based CR programs is low, with community-based CR rates and individual long-term exercise maintenance even lower. Home-based CR programs have been shown to be equally effective in clinical and health-related quality of life outcomes and yet are not readily available. The aim of the current study was to develop the PATHway intervention (physical activity toward health) for the self-management of CVD. Increasing physical activity in individuals with CVD was the primary behavior. The PATHway intervention was theoretically informed by the behavior change wheel and social cognitive theory. All relevant intervention functions, behavior change techniques, and policy categories were identified and translated into intervention content. Furthermore, a person-centered approach was adopted involving an iterative codesign process and extensive user testing. Education, enablement, modeling, persuasion, training, and social restructuring were selected as appropriate intervention functions. Twenty-two behavior change techniques, linked to the six intervention functions and three policy categories, were identified for inclusion and translated into PATHway intervention content. This paper details the use of the behavior change wheel and social cognitive theory to develop an eHealth intervention for the self-management of CVD. The systematic and transparent development of the PATHway intervention will facilitate the evaluation of intervention effectiveness and future replication.

DOI: 10.1093/tbm/iby017
PubMed: 29554380


Affiliations:


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<div type="abstract" xml:lang="en">Cardiovascular diseases (CVDs) are a leading cause of premature death worldwide. International guidelines recommend routine delivery of all phases of cardiac rehabilitation (CR). Uptake of traditional CR remains suboptimal, as attendance at formal hospital-based CR programs is low, with community-based CR rates and individual long-term exercise maintenance even lower. Home-based CR programs have been shown to be equally effective in clinical and health-related quality of life outcomes and yet are not readily available. The aim of the current study was to develop the PATHway intervention (physical activity toward health) for the self-management of CVD. Increasing physical activity in individuals with CVD was the primary behavior. The PATHway intervention was theoretically informed by the behavior change wheel and social cognitive theory. All relevant intervention functions, behavior change techniques, and policy categories were identified and translated into intervention content. Furthermore, a person-centered approach was adopted involving an iterative codesign process and extensive user testing. Education, enablement, modeling, persuasion, training, and social restructuring were selected as appropriate intervention functions. Twenty-two behavior change techniques, linked to the six intervention functions and three policy categories, were identified for inclusion and translated into PATHway intervention content. This paper details the use of the behavior change wheel and social cognitive theory to develop an eHealth intervention for the self-management of CVD. The systematic and transparent development of the PATHway intervention will facilitate the evaluation of intervention effectiveness and future replication.</div>
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<AbstractText>Cardiovascular diseases (CVDs) are a leading cause of premature death worldwide. International guidelines recommend routine delivery of all phases of cardiac rehabilitation (CR). Uptake of traditional CR remains suboptimal, as attendance at formal hospital-based CR programs is low, with community-based CR rates and individual long-term exercise maintenance even lower. Home-based CR programs have been shown to be equally effective in clinical and health-related quality of life outcomes and yet are not readily available. The aim of the current study was to develop the PATHway intervention (physical activity toward health) for the self-management of CVD. Increasing physical activity in individuals with CVD was the primary behavior. The PATHway intervention was theoretically informed by the behavior change wheel and social cognitive theory. All relevant intervention functions, behavior change techniques, and policy categories were identified and translated into intervention content. Furthermore, a person-centered approach was adopted involving an iterative codesign process and extensive user testing. Education, enablement, modeling, persuasion, training, and social restructuring were selected as appropriate intervention functions. Twenty-two behavior change techniques, linked to the six intervention functions and three policy categories, were identified for inclusion and translated into PATHway intervention content. This paper details the use of the behavior change wheel and social cognitive theory to develop an eHealth intervention for the self-management of CVD. The systematic and transparent development of the PATHway intervention will facilitate the evaluation of intervention effectiveness and future replication.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Walsh</LastName>
<ForeName>Deirdre M J</ForeName>
<Initials>DMJ</Initials>
<AffiliationInfo>
<Affiliation>Insight Centre for Data Analytics and School of Health & Human Performance, Dublin City University, Dublin, Ireland.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Moran</LastName>
<ForeName>Kieran</ForeName>
<Initials>K</Initials>
<AffiliationInfo>
<Affiliation>Insight Centre for Data Analytics and School of Health & Human Performance, Dublin City University, Dublin, Ireland.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Cornelissen</LastName>
<ForeName>Veronique</ForeName>
<Initials>V</Initials>
<AffiliationInfo>
<Affiliation>Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Buys</LastName>
<ForeName>Roselien</ForeName>
<Initials>R</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Claes</LastName>
<ForeName>Jomme</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Zampognaro</LastName>
<ForeName>Paolo</ForeName>
<Initials>P</Initials>
<AffiliationInfo>
<Affiliation>Engineering Ingegneria Informatica S.P.A., Napoli, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Melillo</LastName>
<ForeName>Fabio</ForeName>
<Initials>F</Initials>
<AffiliationInfo>
<Affiliation>Engineering Ingegneria Informatica S.P.A., Napoli, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Maglaveras</LastName>
<ForeName>Nicos</ForeName>
<Initials>N</Initials>
<AffiliationInfo>
<Affiliation>Institute of Applied Biosciences, Centre for Research and Technology, Hellas, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Chouvarda</LastName>
<ForeName>Ioanna</ForeName>
<Initials>I</Initials>
<AffiliationInfo>
<Affiliation>Institute of Applied Biosciences, Centre for Research and Technology, Hellas, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Triantafyllidis</LastName>
<ForeName>Andreas</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>Institute of Applied Biosciences, Centre for Research and Technology, Hellas, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Filos</LastName>
<ForeName>Dimitris</ForeName>
<Initials>D</Initials>
<AffiliationInfo>
<Affiliation>Institute of Applied Biosciences, Centre for Research and Technology, Hellas, Greece.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Woods</LastName>
<ForeName>Catherine B</ForeName>
<Initials>CB</Initials>
<AffiliationInfo>
<Affiliation>Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo>
<Country>England</Country>
<MedlineTA>Transl Behav Med</MedlineTA>
<NlmUniqueID>101554668</NlmUniqueID>
<ISSNLinking>1613-9860</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001521" MajorTopicYN="N">Behavior Therapy</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000072038" MajorTopicYN="N">Cardiac Rehabilitation</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
<QualifierName UI="Q000639" MajorTopicYN="Y">trends</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002318" MajorTopicYN="N">Cardiovascular Diseases</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D017281" MajorTopicYN="N">Cost of Illness</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015444" MajorTopicYN="N">Exercise</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
<QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D061213" MajorTopicYN="N">Mortality, Premature</DescriptorName>
<QualifierName UI="Q000639" MajorTopicYN="N">trends</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011788" MajorTopicYN="N">Quality of Life</DescriptorName>
<QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000073278" MajorTopicYN="N">Self-Management</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D017216" MajorTopicYN="N">Telemedicine</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D016896" MajorTopicYN="N">Treatment Outcome</DescriptorName>
</MeshHeading>
</MeshHeadingList>
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<Year>2018</Year>
<Month>3</Month>
<Day>20</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<Year>2019</Year>
<Month>3</Month>
<Day>14</Day>
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<Minute>0</Minute>
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<PubMedPubDate PubStatus="entrez">
<Year>2018</Year>
<Month>3</Month>
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</History>
<PublicationStatus>ppublish</PublicationStatus>
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<list>
<country>
<li>Belgique</li>
<li>Grèce</li>
<li>Irlande (pays)</li>
<li>Italie</li>
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<region>
<li>Munster (Irlande)</li>
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<settlement>
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