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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">It takes a (virtual) village: crowdsourcing measurement consensus to advance survivorship care planning</title><author><name sortKey="Parry, Carla" sort="Parry, Carla" uniqKey="Parry C" first="Carla" last="Parry">Carla Parry</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation><affiliation><nlm:aff id="Aff3">Southern California Permanente Medical Group, Department of Research and Evaluation, Kaiser Permanente, 100 South Los Robles, 2d Floor, Pasadena, CA 91101 USA</nlm:aff></affiliation></author><author><name sortKey="Beckjord, Ellen" sort="Beckjord, Ellen" uniqKey="Beckjord E" first="Ellen" last="Beckjord">Ellen Beckjord</name><affiliation><nlm:aff id="Aff2">University of Pittsburgh Cancer Center, Pittsburgh, PA USA</nlm:aff></affiliation></author><author><name sortKey="Moser, Richard P" sort="Moser, Richard P" uniqKey="Moser R" first="Richard P" last="Moser">Richard P. Moser</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation></author><author><name sortKey="Vieux, Sana N" sort="Vieux, Sana N" uniqKey="Vieux S" first="Sana N" last="Vieux">Sana N. Vieux</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation></author><author><name sortKey="Padgett, Lynne S" sort="Padgett, Lynne S" uniqKey="Padgett L" first="Lynne S" last="Padgett">Lynne S. Padgett</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation></author><author><name sortKey="Hesse, Bradford W" sort="Hesse, Bradford W" uniqKey="Hesse B" first="Bradford W" last="Hesse">Bradford W. Hesse</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25729453</idno><idno type="pmc">4332900</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4332900</idno><idno type="RBID">PMC:4332900</idno><idno type="doi">10.1007/s13142-014-0289-5</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000154</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">It takes a (virtual) village: crowdsourcing measurement consensus to advance survivorship care planning</title><author><name sortKey="Parry, Carla" sort="Parry, Carla" uniqKey="Parry C" first="Carla" last="Parry">Carla Parry</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation><affiliation><nlm:aff id="Aff3">Southern California Permanente Medical Group, Department of Research and Evaluation, Kaiser Permanente, 100 South Los Robles, 2d Floor, Pasadena, CA 91101 USA</nlm:aff></affiliation></author><author><name sortKey="Beckjord, Ellen" sort="Beckjord, Ellen" uniqKey="Beckjord E" first="Ellen" last="Beckjord">Ellen Beckjord</name><affiliation><nlm:aff id="Aff2">University of Pittsburgh Cancer Center, Pittsburgh, PA USA</nlm:aff></affiliation></author><author><name sortKey="Moser, Richard P" sort="Moser, Richard P" uniqKey="Moser R" first="Richard P" last="Moser">Richard P. Moser</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation></author><author><name sortKey="Vieux, Sana N" sort="Vieux, Sana N" uniqKey="Vieux S" first="Sana N" last="Vieux">Sana N. Vieux</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation></author><author><name sortKey="Padgett, Lynne S" sort="Padgett, Lynne S" uniqKey="Padgett L" first="Lynne S" last="Padgett">Lynne S. Padgett</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation></author><author><name sortKey="Hesse, Bradford W" sort="Hesse, Bradford W" uniqKey="Hesse B" first="Bradford W" last="Hesse">Bradford W. Hesse</name><affiliation><nlm:aff id="Aff1">National Cancer Institute, Rockville, MD USA</nlm:aff></affiliation></author></analytic><series><title level="j">Translational Behavioral Medicine</title><idno type="ISSN">1869-6716</idno><idno type="eISSN">1613-9860</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>We report results from the use of an innovative tool (the Grid-Enabled Measures (GEM) database) to drive consensus on the use of measures evaluating the efficacy and implementation of survivorship care plans. The goal of this initiative was to increase the use of publicly available shared measures to enable comparability across studies. Between February and August 2012, research and practice communities populated the GEM platform with constructs and measures relevant to survivorship care planning, rated the measures, and provided qualitative feedback on the quality of the measures. Fifty-one constructs and 124 measures were entered into the GEM-Care Planning workspace by participants. The greatest number of measures appeared in the domains of Health and Psychosocial Outcomes, Health Behaviors, and Coordination of Care/Transitional Care. Using technology-mediated social participation, GEM presents a novel approach to how we measure and improve the quality of survivorship care.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Transl Behav Med</journal-id><journal-id journal-id-type="iso-abbrev">Transl Behav Med</journal-id><journal-title-group><journal-title>Translational Behavioral Medicine</journal-title></journal-title-group><issn pub-type="ppub">1869-6716</issn><issn pub-type="epub">1613-9860</issn><publisher><publisher-name>Springer US</publisher-name><publisher-loc>Boston</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25729453</article-id><article-id pub-id-type="pmc">4332900</article-id><article-id pub-id-type="publisher-id">289</article-id><article-id pub-id-type="doi">10.1007/s13142-014-0289-5</article-id><article-categories><subj-group subj-group-type="heading"><subject>Case Study</subject></subj-group></article-categories><title-group><article-title>It takes a (virtual) village: crowdsourcing measurement consensus to advance survivorship care planning</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Parry</surname><given-names>Carla</given-names></name><degrees>PhD, MSW, MA</degrees><address><phone>626-564-3227</phone><email>Carlyparry@gmail.com</email></address><xref ref-type="aff" rid="Aff1"></xref><xref ref-type="aff" rid="Aff3"></xref></contrib><contrib contrib-type="author"><name><surname>Beckjord</surname><given-names>Ellen</given-names></name><degrees>PhD, MPH</degrees><xref ref-type="aff" rid="Aff2"></xref></contrib><contrib contrib-type="author"><name><surname>Moser</surname><given-names>Richard P</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Vieux</surname><given-names>Sana N</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Padgett</surname><given-names>Lynne S</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Hesse</surname><given-names>Bradford W</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="Aff1"></xref></contrib><aff id="Aff1"><label></label>National Cancer Institute, Rockville, MD USA</aff><aff id="Aff2"><label></label>University of Pittsburgh Cancer Center, Pittsburgh, PA USA</aff><aff id="Aff3"><label></label>Southern California Permanente Medical Group, Department of Research and Evaluation, Kaiser Permanente, 100 South Los Robles, 2d Floor, Pasadena, CA 91101 USA</aff></contrib-group><pub-date pub-type="epub"><day>25</day><month>9</month><year>2014</year></pub-date><pub-date pub-type="ppub"><month>3</month><year>2015</year></pub-date><volume>5</volume><issue>1</issue><fpage>53</fpage><lpage>59</lpage><permissions><copyright-statement>© Springer Science+Business Media New York (outside the U.S.) 2014</copyright-statement></permissions><abstract id="Abs1"><p>We report results from the use of an innovative tool (the Grid-Enabled Measures (GEM) database) to drive consensus on the use of measures evaluating the efficacy and implementation of survivorship care plans. The goal of this initiative was to increase the use of publicly available shared measures to enable comparability across studies. Between February and August 2012, research and practice communities populated the GEM platform with constructs and measures relevant to survivorship care planning, rated the measures, and provided qualitative feedback on the quality of the measures. Fifty-one constructs and 124 measures were entered into the GEM-Care Planning workspace by participants. The greatest number of measures appeared in the domains of Health and Psychosocial Outcomes, Health Behaviors, and Coordination of Care/Transitional Care. Using technology-mediated social participation, GEM presents a novel approach to how we measure and improve the quality of survivorship care.</p></abstract><kwd-group xml:lang="en"><title>KEYWORDS</title><kwd>Survivorship care planning</kwd><kwd>Data harmonization</kwd><kwd>Measurement consensus</kwd><kwd>Technology-mediated social participation</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© Society of Behavioral Medicine 2015</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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