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The state of knowledge on technologies and their use for fall detection: A scoping review

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dc.creatorLapierre N.spa
dc.creatorNeubauer N.spa
dc.creatorMiguel-Cruz A.spa
dc.creatorRios Rincon A.spa
dc.creatorLiu L.spa
dc.creatorRousseau J.spa
dc.date.accessioned2020-05-25T23:55:35Z
dc.date.available2020-05-25T23:55:35Z
dc.date.created2018spa
dc.description.abstractBackground Globally, populations are aging with increasing life spans. The normal aging process and the resulting disabilities increase fall risks. Falls are an important cause of injury, loss of independence and institutionalization. Technologies have been developed to detect falls and reduce their consequences but their use and impact on quality of life remain debatable. Reviews on fall detection technologies exist but are not extensive. A comprehensive literature review on the state of knowledge of fall detection technologies can inform research, practice, and user adoption. Objectives To examine the extent and the diversity of current technologies for fall detection in older adults. Methods A scoping review design was used to search peer-reviewed literature on technologies to detect falls, published in English, French or Spanish since 2006. Data from the studies were analyzed descriptively. Results The literature search identified 3202 studies of which 118 were included for analysis. Ten types of technologies were identified ranging from wearable (e.g., inertial sensors) to ambient sensors (e.g., vision sensors). Their Technology Readiness Level was low (mean 4.54 SD 1.25; 95% CI [4.31, 4.77] out of a maximum of 9). Outcomes were typically evaluated on technological basis and in controlled environments. Few were evaluated in home settings or care units with older adults. Acceptability, implementation cost and barriers were seldom addressed. Conclusions Further research should focus on increasing Technology Readiness Levels of fall detection technologies by testing them in real-life settings with older adults. © 2017 Elsevier B.V.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/j.ijmedinf.2017.12.015
dc.identifier.issn13865056
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22133
dc.language.isoengspa
dc.publisherElsevierspa
dc.relation.citationEndPage71
dc.relation.citationStartPage58
dc.relation.citationTitleInternational Journal of Medical Informatics
dc.relation.citationVolumeVol. 111
dc.relation.ispartofInternational Journal of Medical Informatics, ISSN:13865056, Vol.111,(2018); pp. 58-71spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85039709375&doi=10.1016%2fj.ijmedinf.2017.12.015&partnerID=40&md5=13f22f15c072ab07155c63926502e49dspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordControlled environmentspa
dc.subject.keywordAttitudeseng
dc.subject.keywordFallsspa
dc.subject.keywordImplementation costspa
dc.subject.keywordLiterature reviewsspa
dc.subject.keywordOlder adultsspa
dc.subject.keywordScoping reviewspa
dc.subject.keywordTechnology readiness levelsspa
dc.subject.keywordWearable sensorsspa
dc.subject.keywordAlgorithmspa
dc.subject.keywordAssistive technologyspa
dc.subject.keywordData miningspa
dc.subject.keywordFuzzy logicspa
dc.subject.keywordHidden Markov modelspa
dc.subject.keywordInternetspa
dc.subject.keywordJournal impact factorspa
dc.subject.keywordKnowledgespa
dc.subject.keywordMedical informationspa
dc.subject.keywordMedical technologyspa
dc.subject.keywordPriority journalspa
dc.subject.keywordQualitative researchspa
dc.subject.keywordReviewspa
dc.subject.keywordSupport vector machinespa
dc.subject.keywordAgedspa
dc.subject.keywordAttitude to healthspa
dc.subject.keywordFallingspa
dc.subject.keywordHumanspa
dc.subject.keywordQuality of lifespa
dc.subject.keywordStatistics and numerical dataspa
dc.subject.keywordAccidental Fallsspa
dc.subject.keywordAgedspa
dc.subject.keywordBiomedical Technologyspa
dc.subject.keywordHealth Knowledgeeng
dc.subject.keywordHumansspa
dc.subject.keywordQuality of Lifespa
dc.subject.keywordFallsspa
dc.subject.keywordOlder adultsspa
dc.subject.keywordScoping reviewspa
dc.subject.keywordTechnologyspa
dc.titleThe state of knowledge on technologies and their use for fall detection: A scoping reviewspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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