作者: Daniel R Bateman , Bhavana Srinivas , Thomas W Emmett , Titus K Schleyer , Richard J Holden
DOI: 10.2196/JMIR.7814
关键词: Global health 、 Dementia 、 CINAHL 、 Psychological intervention 、 mHealth 、 Cochrane Library 、 Quality of life (healthcare) 、 Population 、 Gerontology 、 Medicine
摘要: Background: Use of mobile health (mHealth) apps is growing at an exponential rate in the United States and around world. Mild cognitive impairment (MCI), Alzheimer disease, related dementias are a global problem. Numerous mHealth interventions exist for this population, yet effect these on has not been systematically described. Objective: The aim study to catalog types outcomes used measure effectiveness assess which have shown improve persons with MCI, dementia. Methods: We searched 13 databases, including Ovid MEDLINE, PubMed, EMBASE, full Cochrane Library, CINAHL, PsycINFO, Ei Compendex, IEEE Xplore, Applied Science & Technology Source, Scopus, Web Science, ClinicalTrials.gov, Google Scholar from inception through May 2017 studies involving that were evaluated using least one quantitative outcome. Proceedings Annual ACM Conferences Human Factors Computing Systems, User Interface Software Symposium, International Symposium Wearable Computers Digital Library 2012 2016. A hand search JMIR Publications journals was also completed July 2017. Results: After removal duplicates, our initial returned 3955 records. Of articles, 24 met final inclusion criteria as measured outcome Common included cognition, function, mood, quality life. found 21.2% (101/476) fully reviewed articles excluded because lack outcomes. selected observed be inconsistent between studies. For those outcomes, more than half (58%) reported postintervention improvements Conclusions: Results showed many app targeting part their evaluation process there consensus use. majority incorporated into noted However, low quality, leading grade C level evidence. Clarification benefits people requires randomized controlled trials, larger numbers participants, trial designs minimize bias. Trial Registration: PROSPERO 2016:CRD42016033846; http://www.crd.york.ac.uk/PROSPERO/ display_record.asp?ID=CRD42016033846 (Archived by WebCite http://www.webcitation.org/6sjjwnv1M) [J Med Internet Res 2017;19(8):e301]