Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development
Identifieur interne : 000C65 ( Ncbi/Merge ); précédent : 000C64; suivant : 000C66Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development
Auteurs :Source :
- JMIR Medical Informatics [ 2291-9694 ] ; 2016.
Abstract
Contributing to health informatics research means using conceptual models that are integrative and explain the research in terms of the two broad domains of health science and information science. However, it can be hard for novice health informatics researchers to find exemplars and guidelines in working with integrative conceptual models.
The aim of this paper is to support the use of integrative conceptual models in research on information and communication technologies in the health sector, and to encourage discussion of these conceptual models in scholarly forums.
A two-part method was used to summarize and structure ideas about how to work effectively with conceptual models in health informatics research that included (1) a selective review and summary of the literature of conceptual models; and (2) the construction of a step-by-step approach to developing a conceptual model.
The seven-step methodology for developing conceptual models in health informatics research explained in this paper involves (1) acknowledging the limitations of health science and information science conceptual models; (2) giving a rationale for one’s choice of integrative conceptual model; (3) explicating a conceptual model verbally and graphically; (4) seeking feedback about the conceptual model from stakeholders in both the health science and information science domains; (5) aligning a conceptual model with an appropriate research plan; (6) adapting a conceptual model in response to new knowledge over time; and (7) disseminating conceptual models in scholarly and scientific forums.
Making explicit the conceptual model that underpins a health informatics research project can contribute to increasing the number of well-formed and strongly grounded health informatics research projects. This explication has distinct benefits for researchers in training, research teams, and researchers and practitioners in information, health, and other disciplines.
Url:
DOI: 10.2196/medinform.5021
PubMed: 26912288
PubMed Central: 4785238
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development</title></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26912288</idno><idno type="pmc">4785238</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785238</idno><idno type="RBID">PMC:4785238</idno><idno type="doi">10.2196/medinform.5021</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">000069</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000069</idno><idno type="wicri:Area/Pmc/Curation">000069</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000069</idno><idno type="wicri:Area/Pmc/Checkpoint">000027</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000027</idno><idno type="wicri:Area/Ncbi/Merge">000C65</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development</title></analytic><series><title level="j">JMIR Medical Informatics</title><idno type="eISSN">2291-9694</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec sec-type="background"><title>Background</title><p>Contributing to health informatics research means using conceptual models that are integrative and explain the research in terms of the two broad domains of health science and information science. However, it can be hard for novice health informatics researchers to find exemplars and guidelines in working with integrative conceptual models.</p></sec><sec sec-type="objectives"><title>Objectives</title><p>The aim of this paper is to support the use of integrative conceptual models in research on information and communication technologies in the health sector, and to encourage discussion of these conceptual models in scholarly forums.</p></sec><sec sec-type="methods"><title>Methods</title><p>A two-part method was used to summarize and structure ideas about how to work effectively with conceptual models in health informatics research that included (1) a selective review and summary of the literature of conceptual models; and (2) the construction of a step-by-step approach to developing a conceptual model.</p></sec><sec sec-type="results"><title>Results</title><p>The seven-step methodology for developing conceptual models in health informatics research explained in this paper involves (1) acknowledging the limitations of health science and information science conceptual models; (2) giving a rationale for one’s choice of integrative conceptual model; (3) explicating a conceptual model verbally and graphically; (4) seeking feedback about the conceptual model from stakeholders in both the health science and information science domains; (5) aligning a conceptual model with an appropriate research plan; (6) adapting a conceptual model in response to new knowledge over time; and (7) disseminating conceptual models in scholarly and scientific forums.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>Making explicit the conceptual model that underpins a health informatics research project can contribute to increasing the number of well-formed and strongly grounded health informatics research projects. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Med Inform</journal-id><journal-id journal-id-type="iso-abbrev">JMIR Med Inform</journal-id><journal-id journal-id-type="publisher-id">JMI</journal-id><journal-title-group><journal-title>JMIR Medical Informatics</journal-title></journal-title-group><issn pub-type="epub">2291-9694</issn><publisher><publisher-name>Gunther Eysenbach</publisher-name><publisher-loc>JMIR Publications Inc., Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26912288</article-id><article-id pub-id-type="pmc">4785238</article-id><article-id pub-id-type="publisher-id">v4i1e7</article-id><article-id pub-id-type="doi">10.2196/medinform.5021</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group><subj-group subj-group-type="article-type"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Conceptual Models in Health Informatics Research: A Literature Review and Suggestions for Development</article-title></title-group><contrib-group><contrib contrib-type="editor"><name><surname>Eysenbach</surname><given-names>Gunther</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name><surname>Schulz</surname><given-names>Peter</given-names></name></contrib><contrib contrib-type="reviewer"><name><surname>Moja</surname><given-names>Lorenzo</given-names></name></contrib><contrib contrib-type="reviewer"><name><surname>Lorenzo</surname><given-names>Marien</given-names></name></contrib></contrib-group><contrib-group><contrib id="contrib1" contrib-type="author" corresp="yes" equal-contrib="yes"><name><surname>Gray</surname><given-names>Kathleen</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref><address><institution>Health and Biomedical Informatics Centre</institution><institution>University of Melbourne</institution><addr-line>Level 1</addr-line><addr-line>202 Berkeley Street</addr-line><addr-line>Melbourne, 3010</addr-line><country>Australia</country><phone>61 3 8344 8936</phone><fax>61 3 8344 8936</fax><email>kgray@unimelb.edu.au</email></address><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-1616-2170</contrib-id></contrib><contrib id="contrib2" contrib-type="author" equal-contrib="yes"><name><surname>Sockolow</surname><given-names>Paulina</given-names></name><degrees>DrPH</degrees><xref ref-type="aff" rid="aff2">2</xref><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0003-0786-1367</contrib-id></contrib></contrib-group><aff id="aff1"><sup>1</sup><institution>Health and Biomedical Informatics Centre</institution><institution>University of Melbourne</institution><addr-line>Melbourne</addr-line><country>Australia</country></aff><aff id="aff2"><sup>2</sup><institution>Health Systems & Sciences Research</institution><institution>College of Nursing and Health Professions</institution><institution>Drexel University</institution><addr-line>Philadelphia, PA</addr-line><country>United States</country></aff><author-notes><corresp>Corresponding Author: Kathleen Gray <email>kgray@unimelb.edu.au</email></corresp></author-notes><pub-date pub-type="collection"><season>Jan-Mar</season><year>2016</year></pub-date><pub-date pub-type="epub"><day>24</day><month>2</month><year>2016</year></pub-date><volume>4</volume><issue>1</issue><elocation-id>e7</elocation-id><history><date date-type="received"><day>11</day><month>8</month><year>2015</year></date><date date-type="rev-request"><day>17</day><month>11</month><year>2015</year></date><date date-type="rev-recd"><day>10</day><month>12</month><year>2015</year></date><date date-type="accepted"><day>3</day><month>1</month><year>2016</year></date></history><permissions><copyright-statement>©Kathleen Gray, Paulina Sockolow. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 24.02.2016. </copyright-statement><copyright-year>2016</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/"><license-p><pmc-comment>CREATIVE COMMONS</pmc-comment>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/2.0/">http://creativecommons.org/licenses/by/2.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="http://medinform.jmir.org/,">http://medinform.jmir.org/,</ext-link> as well as this copyright and license information must be included.</license-p></license></permissions><self-uri xlink:type="simple" xlink:href="http://medinform.jmir.org/2016/1/e7/"></self-uri><abstract><sec sec-type="background"><title>Background</title><p>Contributing to health informatics research means using conceptual models that are integrative and explain the research in terms of the two broad domains of health science and information science. However, it can be hard for novice health informatics researchers to find exemplars and guidelines in working with integrative conceptual models.</p></sec><sec sec-type="objectives"><title>Objectives</title><p>The aim of this paper is to support the use of integrative conceptual models in research on information and communication technologies in the health sector, and to encourage discussion of these conceptual models in scholarly forums.</p></sec><sec sec-type="methods"><title>Methods</title><p>A two-part method was used to summarize and structure ideas about how to work effectively with conceptual models in health informatics research that included (1) a selective review and summary of the literature of conceptual models; and (2) the construction of a step-by-step approach to developing a conceptual model.</p></sec><sec sec-type="results"><title>Results</title><p>The seven-step methodology for developing conceptual models in health informatics research explained in this paper involves (1) acknowledging the limitations of health science and information science conceptual models; (2) giving a rationale for one’s choice of integrative conceptual model; (3) explicating a conceptual model verbally and graphically; (4) seeking feedback about the conceptual model from stakeholders in both the health science and information science domains; (5) aligning a conceptual model with an appropriate research plan; (6) adapting a conceptual model in response to new knowledge over time; and (7) disseminating conceptual models in scholarly and scientific forums.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>Making explicit the conceptual model that underpins a health informatics research project can contribute to increasing the number of well-formed and strongly grounded health informatics research projects. This explication has distinct benefits for researchers in training, research teams, and researchers and practitioners in information, health, and other disciplines.</p></sec></abstract><kwd-group><kwd>medical informatics</kwd><kwd>theoretical models</kwd><kwd>conceptual framework</kwd><kwd>conceptual model</kwd><kwd>design-based research</kwd><kwd>implementation research</kwd><kwd>evaluation research</kwd><kwd>health informatics</kwd><kwd>research design</kwd><kwd>research training</kwd></kwd-group></article-meta></front></pmc><affiliations><list></list><tree></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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