What factors predict Fitbit adherence in Stroke and Parkinson disease?
dc.contributor.author | Schrader, Katrina | |
dc.contributor.author | Mentis, Helena Marie | |
dc.contributor.author | Phipps, Michael, M.D. | |
dc.contributor.author | Gruber-Baldini, Ann L. | |
dc.contributor.author | Yarbrough, Karen L. | |
dc.contributor.author | Barr, Erik | |
dc.contributor.author | von Coelln, Rainer | |
dc.contributor.author | Shulman, Lisa M. | |
dc.date.accessioned | 2018-06-25T18:25:12Z | |
dc.date.available | 2018-06-25T18:25:12Z | |
dc.date.issued | 2017-07-13 | |
dc.identifier.uri | http://hdl.handle.net/10713/8020 | |
dc.description | Abstract 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.iso | en_US | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | health information technology | en_US |
dc.subject | Fitbit | en_US |
dc.subject | activity monitoring | en_US |
dc.subject.lcsh | University of Maryland, Baltimore. School of Nursing | en_US |
dc.subject.lcsh | Nursing informatics | en_US |
dc.subject.mesh | Medical Informatics | en_US |
dc.subject.mesh | Comorbidity | en_US |
dc.title | What factors predict Fitbit adherence in Stroke and Parkinson disease? | en_US |
dc.type | Abstract | en_US |
dc.type | Conference/Congress | en_US |
dc.type | Poster/Presentation | en_US |
dc.identifier.ispublished | No | en_US |
dc.description.uriname | Full Text | en_US |
refterms.dateFOA | 2019-02-19T18:36:26Z |