AutomedicationFrancoV1, Main, Exploration, bibRecord, 000577

Factors associated with patient-reported likelihood of using online self-care interventions: a Scleroderma Patient-centered Intervention Network (SPIN) cohort study.

Identifieur interne : 000577 ( Main/Exploration ); précédent : 000576; suivant : 000578

Factors associated with patient-reported likelihood of using online self-care interventions: a Scleroderma Patient-centered Intervention Network (SPIN) cohort study.

Auteurs : Linda Kwakkenbos [Pays-Bas] ; Julie Cumin [Canada] ; Marie-Eve Carrier [Canada] ; Susan J. Bartlett [Canada, États-Unis] ; Vanessa L. Malcarne [États-Unis] ; Luc Mouthon [France] ; Warren R. Nielson [Canada] ; François Rannou [France] ; Joep Welling [Pays-Bas] ; Brett D. Thombs [Canada]

Source :

BMJ open [ 2044-6055 ] ; 2019.

RBID : pubmed:31615796

Descripteurs français

KwdFr :
- Analyse multifactorielle (MeSH), Autosoins (méthodes), Canada (MeSH), Espagne (MeSH), Femelle (MeSH), France (MeSH), Humains (MeSH), Internationalité (MeSH), Internet (statistiques et données numériques), Mesures des résultats rapportés par les patients (MeSH), Mexique (MeSH), Modèles linéaires (MeSH), Mâle (MeSH), Sclérose en plaques (diagnostic), Sclérose en plaques (thérapie), Soins centrés sur le patient (méthodes), Études de cohortes (MeSH), Études transversales (MeSH).
MESH :
- diagnostic : Sclérose en plaques.
- méthodes : Autosoins, Soins centrés sur le patient.
- statistiques et données numériques : Internet.
- thérapie : Sclérose en plaques.
- Analyse multifactorielle, Canada, Espagne, Femelle, France, Humains, Internationalité, Mesures des résultats rapportés par les patients, Mexique, Modèles linéaires, Mâle, Études de cohortes, Études transversales.
Wicri :
- geographic : Canada, France, Mexique, Espagne.

English descriptors

KwdEn :
- Canada (MeSH), Cohort Studies (MeSH), Cross-Sectional Studies (MeSH), Female (MeSH), France (MeSH), Humans (MeSH), Internationality (MeSH), Internet (statistics & numerical data), Linear Models (MeSH), Male (MeSH), Mexico (MeSH), Multiple Sclerosis (diagnosis), Multiple Sclerosis (therapy), Multivariate Analysis (MeSH), Patient Reported Outcome Measures (MeSH), Patient-Centered Care (methods), Self Care (methods), Spain (MeSH).
MESH :
- geographic : Canada, France, Mexico, Spain.
- diagnosis : Multiple Sclerosis.
- methods : Patient-Centered Care, Self Care.
- statistics & numerical data : Internet.
- therapy : Multiple Sclerosis.
- Cohort Studies, Cross-Sectional Studies, Female, Humans, Internationality, Linear Models, Male, Multivariate Analysis, Patient Reported Outcome Measures.

Abstract

OBJECTIVES

The Scleroderma Patient-centered Intervention Network (SPIN) Cohort uses the cohort multiple randomised controlled trial design to embed trials of online self-care interventions for people living with systemic sclerosis (SSc; scleroderma). To offer interventions to patients interested in using them, participants complete signalling items that query about the likelihood that patients would agree to participate in nine different hypothetical online programmes addressing common SSc-related problems. It is not known what factors influence patient-reported interest in participating in a particular online intervention and if intervention-specific signalling questions provide unique information or replicate broader characteristics, such as overall willingness to participate or self-efficacy. This study assessed factors that explain responses to intervention-specific signalling items.

DESIGN

Cross-sectional survey.

SETTING

SPIN Cohort participants enrolled at 42 centres from Canada, the USA, the UK, France, Spain and Mexico who completed study questionnaires from March 2014 to January 2018 were included.

MEASURES

Demographic and disease characteristics, self-efficacy and symptoms related to each specific intervention were completed in addition to signalling items. General likelihood of using interventions was calculating by taking the mean score of the remaining signalling questions.

PARTICIPANTS

1060 participants with complete baseline data were included in the analyses.

RESULTS

For all individual signalling questions, controlling for other variables, the mean of the remaining signalling questions was the strongest predictor (standardised regression coefficient β from 0.61 (sleep) to 0.80 (self-management)). Smaller, but statistically significant, associations were found with the symptom associated with the respective signalling question and with general self-efficacy for 7 of 9 signalling questions.

CONCLUSIONS

The main factor associated with patients' interest in participating in a disease-specific online self-care intervention is their general interest in participating in online interventions. Factors that may influence this general interest should be explored and taken into consideration when inviting patients to try online interventions.

DOI: 10.1136/bmjopen-2019-029542
PubMed: 31615796
PubMed Central: PMC6797412

Affiliations:

Canada, France, Pays-Bas, États-Unis
Californie, Gueldre, Maryland, Québec, Utrecht (province), Île-de-France
Montréal, Nimègue, Paris, Utrecht
Université McGill, Université Paris-Descartes

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

to stream Main, to step Corpus: 000331
to stream Main, to step Curation: 000331

Le document en format XML

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</placeName>
</affiliation>
<affiliation wicri:level="4"><nlm:affiliation>Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Educational and Counselling Psychology, McGill University, Montréal, Québec</wicri:regionArea>
<orgName type="university">Université McGill</orgName>
<placeName><settlement type="city">Montréal</settlement>
<region type="state">Québec</region>
</placeName>
</affiliation>
<affiliation wicri:level="4"><nlm:affiliation>Department of Psychology, McGill University, Montréal, Québec, Canada.</nlm:affiliation>
<country xml:lang="fr">Canada</country>
<wicri:regionArea>Department of Psychology, McGill University, Montréal, Québec</wicri:regionArea>
<orgName type="university">Université McGill</orgName>
<placeName><settlement type="city">Montréal</settlement>
<region type="state">Québec</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">BMJ open</title>
<idno type="eISSN">2044-6055</idno>
<imprint><date when="2019" type="published">2019</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Canada (MeSH)</term>
<term>Cohort Studies (MeSH)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Female (MeSH)</term>
<term>France (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Internationality (MeSH)</term>
<term>Internet (statistics & numerical data)</term>
<term>Linear Models (MeSH)</term>
<term>Male (MeSH)</term>
<term>Mexico (MeSH)</term>
<term>Multiple Sclerosis (diagnosis)</term>
<term>Multiple Sclerosis (therapy)</term>
<term>Multivariate Analysis (MeSH)</term>
<term>Patient Reported Outcome Measures (MeSH)</term>
<term>Patient-Centered Care (methods)</term>
<term>Self Care (methods)</term>
<term>Spain (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Analyse multifactorielle (MeSH)</term>
<term>Autosoins (méthodes)</term>
<term>Canada (MeSH)</term>
<term>Espagne (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>France (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Internationalité (MeSH)</term>
<term>Internet (statistiques et données numériques)</term>
<term>Mesures des résultats rapportés par les patients (MeSH)</term>
<term>Mexique (MeSH)</term>
<term>Modèles linéaires (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Sclérose en plaques (diagnostic)</term>
<term>Sclérose en plaques (thérapie)</term>
<term>Soins centrés sur le patient (méthodes)</term>
<term>Études de cohortes (MeSH)</term>
<term>Études transversales (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>Canada</term>
<term>France</term>
<term>Mexico</term>
<term>Spain</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Multiple Sclerosis</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Sclérose en plaques</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Patient-Centered Care</term>
<term>Self Care</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Autosoins</term>
<term>Soins centrés sur le patient</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Internet</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Internet</term>
</keywords>
<keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Multiple Sclerosis</term>
</keywords>
<keywords scheme="MESH" qualifier="thérapie" xml:lang="fr"><term>Sclérose en plaques</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Cohort Studies</term>
<term>Cross-Sectional Studies</term>
<term>Female</term>
<term>Humans</term>
<term>Internationality</term>
<term>Linear Models</term>
<term>Male</term>
<term>Multivariate Analysis</term>
<term>Patient Reported Outcome Measures</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Analyse multifactorielle</term>
<term>Canada</term>
<term>Espagne</term>
<term>Femelle</term>
<term>France</term>
<term>Humains</term>
<term>Internationalité</term>
<term>Mesures des résultats rapportés par les patients</term>
<term>Mexique</term>
<term>Modèles linéaires</term>
<term>Mâle</term>
<term>Études de cohortes</term>
<term>Études transversales</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Canada</term>
<term>France</term>
<term>Mexique</term>
<term>Espagne</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b>
</p>
<p>The Scleroderma Patient-centered Intervention Network (SPIN) Cohort uses the cohort multiple randomised controlled trial design to embed trials of online self-care interventions for people living with systemic sclerosis (SSc; scleroderma). To offer interventions to patients interested in using them, participants complete signalling items that query about the likelihood that patients would agree to participate in nine different hypothetical online programmes addressing common SSc-related problems. It is not known what factors influence patient-reported interest in participating in a particular online intervention and if intervention-specific signalling questions provide unique information or replicate broader characteristics, such as overall willingness to participate or self-efficacy. This study assessed factors that explain responses to intervention-specific signalling items.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>DESIGN</b>
</p>
<p>Cross-sectional survey.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>SETTING</b>
</p>
<p>SPIN Cohort participants enrolled at 42 centres from Canada, the USA, the UK, France, Spain and Mexico who completed study questionnaires from March 2014 to January 2018 were included.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>MEASURES</b>
</p>
<p>Demographic and disease characteristics, self-efficacy and symptoms related to each specific intervention were completed in addition to signalling items. General likelihood of using interventions was calculating by taking the mean score of the remaining signalling questions.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>PARTICIPANTS</b>
</p>
<p>1060 participants with complete baseline data were included in the analyses.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>For all individual signalling questions, controlling for other variables, the mean of the remaining signalling questions was the strongest predictor (standardised regression coefficient β from 0.61 (sleep) to 0.80 (self-management)). Smaller, but statistically significant, associations were found with the symptom associated with the respective signalling question and with general self-efficacy for 7 of 9 signalling questions.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>The main factor associated with patients' interest in participating in a disease-specific online self-care intervention is their general interest in participating in online interventions. Factors that may influence this general interest should be explored and taken into consideration when inviting patients to try online interventions.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">31615796</PMID>
<DateCompleted><Year>2020</Year>
<Month>10</Month>
<Day>23</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>10</Month>
<Day>23</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2044-6055</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>9</Volume>
<Issue>10</Issue>
<PubDate><Year>2019</Year>
<Month>10</Month>
<Day>14</Day>
</PubDate>
</JournalIssue>
<Title>BMJ open</Title>
<ISOAbbreviation>BMJ Open</ISOAbbreviation>
</Journal>
<ArticleTitle>Factors associated with patient-reported likelihood of using online self-care interventions: a Scleroderma Patient-centered Intervention Network (SPIN) cohort study.</ArticleTitle>
<Pagination><MedlinePgn>e029542</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1136/bmjopen-2019-029542</ELocationID>
<Abstract><AbstractText Label="OBJECTIVES">The Scleroderma Patient-centered Intervention Network (SPIN) Cohort uses the cohort multiple randomised controlled trial design to embed trials of online self-care interventions for people living with systemic sclerosis (SSc; scleroderma). To offer interventions to patients interested in using them, participants complete signalling items that query about the likelihood that patients would agree to participate in nine different hypothetical online programmes addressing common SSc-related problems. It is not known what factors influence patient-reported interest in participating in a particular online intervention and if intervention-specific signalling questions provide unique information or replicate broader characteristics, such as overall willingness to participate or self-efficacy. This study assessed factors that explain responses to intervention-specific signalling items.</AbstractText>
<AbstractText Label="DESIGN">Cross-sectional survey.</AbstractText>
<AbstractText Label="SETTING">SPIN Cohort participants enrolled at 42 centres from Canada, the USA, the UK, France, Spain and Mexico who completed study questionnaires from March 2014 to January 2018 were included.</AbstractText>
<AbstractText Label="MEASURES">Demographic and disease characteristics, self-efficacy and symptoms related to each specific intervention were completed in addition to signalling items. General likelihood of using interventions was calculating by taking the mean score of the remaining signalling questions.</AbstractText>
<AbstractText Label="PARTICIPANTS">1060 participants with complete baseline data were included in the analyses.</AbstractText>
<AbstractText Label="RESULTS">For all individual signalling questions, controlling for other variables, the mean of the remaining signalling questions was the strongest predictor (standardised regression coefficient β from 0.61 (sleep) to 0.80 (self-management)). Smaller, but statistically significant, associations were found with the symptom associated with the respective signalling question and with general self-efficacy for 7 of 9 signalling questions.</AbstractText>
<AbstractText Label="CONCLUSIONS">The main factor associated with patients' interest in participating in a disease-specific online self-care intervention is their general interest in participating in online interventions. Factors that may influence this general interest should be explored and taken into consideration when inviting patients to try online interventions.</AbstractText>
<CopyrightInformation>© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Kwakkenbos</LastName>
<ForeName>Linda</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Behavioural Science Institute, Clinical Psychology, Radboud University, Nijmegen, The Netherlands.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cumin</LastName>
<ForeName>Julie</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Carrier</LastName>
<ForeName>Marie-Eve</ForeName>
<Initials>ME</Initials>
<AffiliationInfo><Affiliation>Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Bartlett</LastName>
<ForeName>Susan J</ForeName>
<Initials>SJ</Initials>
<AffiliationInfo><Affiliation>Department of Medicine, McGill University, Monteal, Québec, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>McGill University Health Center, Montréal, Québec, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Medicine, Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Malcarne</LastName>
<ForeName>Vanessa L</ForeName>
<Initials>VL</Initials>
<AffiliationInfo><Affiliation>Department of Psychology, San Diego State University, San Diego, California, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>San Diego Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, California, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Mouthon</LastName>
<ForeName>Luc</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Service de Médecine Interne, Hôpital Cochin, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Nielson</LastName>
<ForeName>Warren R</ForeName>
<Initials>WR</Initials>
<AffiliationInfo><Affiliation>Beryl & Richard Ivey Rheumatology Day Programs, St. Joseph's Health Care, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Lawson Health Research Institute, London, Ontario, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Rannou</LastName>
<ForeName>François</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Descartes, Paris, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Welling</LastName>
<ForeName>Joep</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>NVLE Dutch Patient Organization for Systemic Autoimmune Diseases, Utrecht, The Netherlands.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Thombs</LastName>
<ForeName>Brett D</ForeName>
<Initials>BD</Initials>
<Identifier Source="ORCID">0000-0002-5644-8432</Identifier>
<AffiliationInfo><Affiliation>Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Medicine, McGill University, Monteal, Québec, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Psychiatry, McGill University, Montreal, Québec, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montréal, Québec, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Educational and Counselling Psychology, McGill University, Montréal, Québec, Canada.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Psychology, McGill University, Montréal, Québec, Canada.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><CollectiveName>SPIN Investigators</CollectiveName>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>KL2 TR003168</GrantID>
<Acronym>TR</Acronym>
<Agency>NCATS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>PJT-148504</GrantID>
<Agency>CIHR</Agency>
<Country>Canada</Country>
</Grant>
<Grant><GrantID>PJT-149073</GrantID>
<Agency>CIHR</Agency>
<Country>Canada</Country>
</Grant>
<Grant><GrantID>TR3-119192</GrantID>
<Agency>CIHR</Agency>
<Country>Canada</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D016448">Multicenter Study</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2019</Year>
<Month>10</Month>
<Day>14</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>BMJ Open</MedlineTA>
<NlmUniqueID>101552874</NlmUniqueID>
<ISSNLinking>2044-6055</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D002170" MajorTopicYN="N" Type="Geographic">Canada</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015331" MajorTopicYN="N">Cohort Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D038622" MajorTopicYN="N">Internationality</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D020407" MajorTopicYN="N">Internet</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016014" MajorTopicYN="N">Linear Models</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008800" MajorTopicYN="N" Type="Geographic">Mexico</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009103" MajorTopicYN="N">Multiple Sclerosis</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000071066" MajorTopicYN="Y">Patient Reported Outcome Measures</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018802" MajorTopicYN="N">Patient-Centered Care</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012648" MajorTopicYN="N">Self Care</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">clinical trials</Keyword>
<Keyword MajorTopicYN="Y">cmRCT</Keyword>
<Keyword MajorTopicYN="Y">cohort multiple RCT</Keyword>
<Keyword MajorTopicYN="Y">scleroderma</Keyword>
<Keyword MajorTopicYN="Y">systemic sclerosis</Keyword>
</KeywordList>
<CoiStatement>Competing interests: None declared.</CoiStatement>
<InvestigatorList><Investigator ValidYN="Y"><LastName>Baron</LastName>
<ForeName>Murray</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Furst</LastName>
<ForeName>Daniel E</ForeName>
<Initials>DE</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Gottesman</LastName>
<ForeName>Karen</ForeName>
<Initials>K</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Mayes</LastName>
<ForeName>Maureen D</ForeName>
<Initials>MD</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Riggs</LastName>
<ForeName>Robert</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Sauve</LastName>
<ForeName>Maureen</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Wigley</LastName>
<ForeName>Fredrick</ForeName>
<Initials>F</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Assassi</LastName>
<ForeName>Shervin</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Boutron</LastName>
<ForeName>Isabelle</ForeName>
<Initials>I</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Maia</LastName>
<ForeName>Angela Costa</ForeName>
<Initials>AC</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Cronin</LastName>
<ForeName>Lindsay</ForeName>
<Initials>L</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>El-Baalbaki</LastName>
<ForeName>Ghassan</ForeName>
<Initials>G</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ells</LastName>
<ForeName>Carolyn</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Elrod</LastName>
<ForeName>Stephen</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ende</LastName>
<ForeName>Cornelia van den</ForeName>
<Initials>CVD</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Fligelstone</LastName>
<ForeName>Kim</ForeName>
<Initials>K</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Fortune</LastName>
<ForeName>Catherine</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Frech</LastName>
<ForeName>Tracy</ForeName>
<Initials>T</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Gietzen</LastName>
<ForeName>Amy</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Godard</LastName>
<ForeName>Dominique</ForeName>
<Initials>D</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Geneviève Guillot</LastName>
<ForeName>Daphna Harel</ForeName>
<Initials>DH</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Haslam</LastName>
<ForeName>Shirley</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Hinchcliff</LastName>
<ForeName>Monique</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Hudson</LastName>
<ForeName>Marie</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Impens</LastName>
<ForeName>Ann</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Jang</LastName>
<ForeName>Yeona</ForeName>
<Initials>Y</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Johnson</LastName>
<ForeName>Sindhu R</ForeName>
<Initials>SR</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Kennedy</LastName>
<ForeName>Ann Tyrell</ForeName>
<Initials>AT</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Körner</LastName>
<ForeName>Annett</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Larche</LastName>
<ForeName>Maggie</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Leite</LastName>
<ForeName>Catarina</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Marra</LastName>
<ForeName>Carlo</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Nguyen</LastName>
<ForeName>Christelle</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Nielsen</LastName>
<ForeName>Karen</ForeName>
<Initials>K</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Pope</LastName>
<ForeName>Janet</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Portales</LastName>
<ForeName>Alexandra</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Richard</LastName>
<ForeName>Michelle</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Rodriguez Reyna</LastName>
<ForeName>Tatiana Sofia</ForeName>
<Initials>TS</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Rozee</LastName>
<ForeName>Ken</ForeName>
<Initials>K</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Schouffoer</LastName>
<ForeName>Anne A</ForeName>
<Initials>AA</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Steele</LastName>
<ForeName>Russell J</ForeName>
<Initials>RJ</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Stephens</LastName>
<ForeName>Nancy</ForeName>
<Initials>N</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Suarez-Almazor</LastName>
<ForeName>Maria E</ForeName>
<Initials>ME</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Wong-Rieger</LastName>
<ForeName>Durhane</ForeName>
<Initials>D</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Agard</LastName>
<ForeName>Christian</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Albert</LastName>
<ForeName>Alexandra</ForeName>
<Initials>A</Initials>
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Factors associated with patient-reported likelihood of using online self-care interventions: a Scleroderma Patient-centered Intervention Network (SPIN) cohort study.

Factors associated with patient-reported likelihood of using online self-care interventions: a Scleroderma Patient-centered Intervention Network (SPIN) cohort study.

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Abstract

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Pour générer des pages wiki