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dc.contributor.authorSchrader, Katrina
dc.contributor.authorMentis, Helena Marie
dc.contributor.authorPhipps, Michael, M.D.
dc.contributor.authorGruber-Baldini, Ann L.
dc.contributor.authorYarbrough, Karen L.
dc.contributor.authorBarr, Erik
dc.contributor.authorvon Coelln, Rainer
dc.contributor.authorShulman, Lisa M.
dc.date.accessioned2018-06-25T18:25:12Z
dc.date.available2018-06-25T18:25:12Z
dc.date.issued2017-07-13
dc.identifier.urihttp://hdl.handle.net/10713/8020
dc.descriptionAbstract of a poster presentation delivered at the University of Maryland School of Nursing, Summer Institute in Nursing Informatics (SINI) 2017: Clinical Practice, Health and the Internet of Things.en_US
dc.language.isoen_USen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjecthealth information technologyen_US
dc.subjectFitbiten_US
dc.subjectactivity monitoringen_US
dc.subject.lcshUniversity of Maryland, Baltimore. School of Nursingen_US
dc.subject.lcshNursing informaticsen_US
dc.subject.meshMedical Informaticsen_US
dc.subject.meshComorbidityen_US
dc.titleWhat factors predict Fitbit adherence in Stroke and Parkinson disease?en_US
dc.typeAbstracten_US
dc.typeConference/Congressen_US
dc.typePoster/Presentationen_US
dc.identifier.ispublishedNoen_US
dc.description.urinameFull Texten_US
refterms.dateFOA2019-02-19T18:36:26Z


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