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Using the Evaluative Linguistic Framework for Questionnaires to Assess Comprehensibility of Self-Report Health Questionnaires.

Identifieur interne : 001C95 ( PubMed/Corpus ); précédent : 001C94; suivant : 001C96

Using the Evaluative Linguistic Framework for Questionnaires to Assess Comprehensibility of Self-Report Health Questionnaires.

Auteurs : Rosemary Clerehan ; Francis Guillemin ; Jonathan Epstein ; Rachelle Buchbinder

Source :

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research [ 1524-4733 ] ; 2016.

RBID : pubmed:27325325

English descriptors

KwdEn :
- Arthritis, Comprehension, Cross-Cultural Comparison, France, Health Literacy, Humans, Language, Linguistics, Netherlands, North America, Self Report (standards), Spain, Surveys and Questionnaires (standards), Turkey.
MESH :
- standards : Self Report, Surveys and Questionnaires.
- Arthritis, Comprehension, Cross-Cultural Comparison, France, Health Literacy, Humans, Language, Linguistics, Netherlands, North America, Spain, Turkey.

Abstract

The Evaluative Linguistic Framework (ELF) was developed to judge the quality of health care texts for patients, based on systemic functional linguistic theory. This approach considers key variables such as context and structure, known to be important for communication.

DOI: 10.1016/j.jval.2016.01.008
PubMed: 27325325

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pubmed:27325325

Le document en format XML

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<author><name sortKey="Clerehan, Rosemary" sort="Clerehan, Rosemary" uniqKey="Clerehan R" first="Rosemary" last="Clerehan">Rosemary Clerehan</name>
<affiliation><nlm:affiliation>Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Guillemin, Francis" sort="Guillemin, Francis" uniqKey="Guillemin F" first="Francis" last="Guillemin">Francis Guillemin</name>
<affiliation><nlm:affiliation>Faculty of Medicine, University of Lorraine, Vandoeuvre-les-Nancy, France.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Epstein, Jonathan" sort="Epstein, Jonathan" uniqKey="Epstein J" first="Jonathan" last="Epstein">Jonathan Epstein</name>
<affiliation><nlm:affiliation>Faculty of Medicine, University of Lorraine, Vandoeuvre-les-Nancy, France.</nlm:affiliation>
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<author><name sortKey="Buchbinder, Rachelle" sort="Buchbinder, Rachelle" uniqKey="Buchbinder R" first="Rachelle" last="Buchbinder">Rachelle Buchbinder</name>
<affiliation><nlm:affiliation>Monash Department of Clinical Epidemiology, Cabrini Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. Electronic address: rachelle.buchbinder@monash.edu.</nlm:affiliation>
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<affiliation><nlm:affiliation>Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.</nlm:affiliation>
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<author><name sortKey="Guillemin, Francis" sort="Guillemin, Francis" uniqKey="Guillemin F" first="Francis" last="Guillemin">Francis Guillemin</name>
<affiliation><nlm:affiliation>Faculty of Medicine, University of Lorraine, Vandoeuvre-les-Nancy, France.</nlm:affiliation>
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<author><name sortKey="Epstein, Jonathan" sort="Epstein, Jonathan" uniqKey="Epstein J" first="Jonathan" last="Epstein">Jonathan Epstein</name>
<affiliation><nlm:affiliation>Faculty of Medicine, University of Lorraine, Vandoeuvre-les-Nancy, France.</nlm:affiliation>
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<author><name sortKey="Buchbinder, Rachelle" sort="Buchbinder, Rachelle" uniqKey="Buchbinder R" first="Rachelle" last="Buchbinder">Rachelle Buchbinder</name>
<affiliation><nlm:affiliation>Monash Department of Clinical Epidemiology, Cabrini Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. Electronic address: rachelle.buchbinder@monash.edu.</nlm:affiliation>
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<series><title level="j">Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research</title>
<idno type="eISSN">1524-4733</idno>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Arthritis</term>
<term>Comprehension</term>
<term>Cross-Cultural Comparison</term>
<term>France</term>
<term>Health Literacy</term>
<term>Humans</term>
<term>Language</term>
<term>Linguistics</term>
<term>Netherlands</term>
<term>North America</term>
<term>Self Report (standards)</term>
<term>Spain</term>
<term>Surveys and Questionnaires (standards)</term>
<term>Turkey</term>
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<keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Self Report</term>
<term>Surveys and Questionnaires</term>
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<keywords scheme="MESH" xml:lang="en"><term>Arthritis</term>
<term>Comprehension</term>
<term>Cross-Cultural Comparison</term>
<term>France</term>
<term>Health Literacy</term>
<term>Humans</term>
<term>Language</term>
<term>Linguistics</term>
<term>Netherlands</term>
<term>North America</term>
<term>Spain</term>
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<front><div type="abstract" xml:lang="en">The Evaluative Linguistic Framework (ELF) was developed to judge the quality of health care texts for patients, based on systemic functional linguistic theory. This approach considers key variables such as context and structure, known to be important for communication.</div>
</front>
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<DateCreated><Year>2016</Year>
<Month>06</Month>
<Day>21</Day>
</DateCreated>
<DateCompleted><Year>2017</Year>
<Month>05</Month>
<Day>17</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>05</Month>
<Day>17</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1524-4733</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>19</Volume>
<Issue>4</Issue>
<PubDate><Year>2016</Year>
<Month>Jun</Month>
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<Title>Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research</Title>
<ISOAbbreviation>Value Health</ISOAbbreviation>
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<ArticleTitle>Using the Evaluative Linguistic Framework for Questionnaires to Assess Comprehensibility of Self-Report Health Questionnaires.</ArticleTitle>
<Pagination><MedlinePgn>335-42</MedlinePgn>
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<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jval.2016.01.008</ELocationID>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The Evaluative Linguistic Framework (ELF) was developed to judge the quality of health care texts for patients, based on systemic functional linguistic theory. This approach considers key variables such as context and structure, known to be important for communication.</AbstractText>
<AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">Our objective was to adapt the ELF to evaluate the quality of self-report questionnaires.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We reviewed the Health Literacy Questionnaire using the ELF. On the basis of these data, we drafted the preliminary version of the Evaluative Linguistic Framework for Questionnaires (ELF-Q) and applied it to English- and French-language versions of two arthritis self-report questionnaires and to Spanish, Dutch, and Turkish versions of an arthritis questionnaire.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The developed ELF-Q was found to be effective for evaluating questionnaires in English and in four other languages. It contains nine items with new descriptions and assessment probes. These include overall organizational or generic structure of the questionnaire, metadiscourse (or text about the text), headings, rhetorical elements (function of each "move" or stage of the text in relation to the reader), the writer-reader relationship, technicality of vocabulary, lexical density (proportion of content words in the text), format, and overall judgment. We added assessment responses on a two- or three-point Likert scale to complement the assessment probes and make the intent and meaning of the probes fully explicit for the questionnaire developer or assessor.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The ELF-Q is a framework practical to use for the development or assessment of any type of self-report questionnaire. Its application can identify features of a self-report questionnaire that could be improved to optimize its comprehensibility.</AbstractText>
<CopyrightInformation>Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Clerehan</LastName>
<ForeName>Rosemary</ForeName>
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<AffiliationInfo><Affiliation>Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.</Affiliation>
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<AffiliationInfo><Affiliation>Faculty of Medicine, University of Lorraine, Vandoeuvre-les-Nancy, France.</Affiliation>
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<Author ValidYN="Y"><LastName>Epstein</LastName>
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<AffiliationInfo><Affiliation>Faculty of Medicine, University of Lorraine, Vandoeuvre-les-Nancy, France.</Affiliation>
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<AffiliationInfo><Affiliation>Monash Department of Clinical Epidemiology, Cabrini Institute, Melbourne, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. Electronic address: rachelle.buchbinder@monash.edu.</Affiliation>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D001168" MajorTopicYN="N">Arthritis</DescriptorName>
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<MeshHeading><DescriptorName UI="D032882" MajorTopicYN="Y">Comprehension</DescriptorName>
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<MeshHeading><DescriptorName UI="D003431" MajorTopicYN="N">Cross-Cultural Comparison</DescriptorName>
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<MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N">France</DescriptorName>
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<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading><DescriptorName UI="D009656" MajorTopicYN="N">North America</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D057566" MajorTopicYN="N">Self Report</DescriptorName>
<QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName>
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<MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N">Spain</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName>
<QualifierName UI="Q000592" MajorTopicYN="N">standards</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014421" MajorTopicYN="N">Turkey</DescriptorName>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">comprehensibility</Keyword>
<Keyword MajorTopicYN="Y">cross-cultural</Keyword>
<Keyword MajorTopicYN="Y">linguistic</Keyword>
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Using the Evaluative Linguistic Framework for Questionnaires to Assess Comprehensibility of Self-Report Health Questionnaires.

Using the Evaluative Linguistic Framework for Questionnaires to Assess Comprehensibility of Self-Report Health Questionnaires.

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