Development of an application for mobile devices to identify the frailty phenotype among the elderly

Detalhes bibliográficos
Autor(a) principal: Santos,Thassyane Silva dos
Data de Publicação: 2017
Outros Autores: Brito,Thais Alves, Yokoyama Filho,Francisco Sadao, Guimarães,Lara de Andrade, Souto,Caroline Sampaio, Souza,Samara Jesus Nascimento, Martins,Luiz Eduardo Barreto, Pithon,Karla Rocha
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Geriatria e Gerontologia
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232017000100067
Resumo: Abstract Objective: to develop a mobile app to quickly and safely identify frailty syndrome features among the elderly. Method: a cross-sectional study was conducted. The application was developed for the Android platform in the Java programming language and XML markup. The study instrument was based on five frailty phenotype criteria. The tests were conducted with 20 elderly persons living in a long-term care facility. Results: the twenty elderly persons had a mean age of 76.55 (±9.5) years. Thirteen were identified as frail, five were pre-frail and two were non-frail. The comparison of the results of the instruments of analysis coincided in the general evaluation of frailty and in the individual identification of the five criteria. Conclusion: the data suggests that the use of the application for the evaluation of frailty among the elderly was performed safely, with the advantage of quick access to allow the monitoring of the clinical status and prognosis of the patient.
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spelling Development of an application for mobile devices to identify the frailty phenotype among the elderlySoftware Validation. Elderly. Frail Elderly. Computer Systems. Decision MakingComputer-Assisted.Abstract Objective: to develop a mobile app to quickly and safely identify frailty syndrome features among the elderly. Method: a cross-sectional study was conducted. The application was developed for the Android platform in the Java programming language and XML markup. The study instrument was based on five frailty phenotype criteria. The tests were conducted with 20 elderly persons living in a long-term care facility. Results: the twenty elderly persons had a mean age of 76.55 (±9.5) years. Thirteen were identified as frail, five were pre-frail and two were non-frail. The comparison of the results of the instruments of analysis coincided in the general evaluation of frailty and in the individual identification of the five criteria. Conclusion: the data suggests that the use of the application for the evaluation of frailty among the elderly was performed safely, with the advantage of quick access to allow the monitoring of the clinical status and prognosis of the patient.Universidade do Estado do Rio Janeiro2017-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232017000100067Revista Brasileira de Geriatria e Gerontologia v.20 n.1 2017reponame:Revista Brasileira de Geriatria e Gerontologiainstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UFRJ10.1590/1981-22562017020.160025info:eu-repo/semantics/openAccessSantos,Thassyane Silva dosBrito,Thais AlvesYokoyama Filho,Francisco SadaoGuimarães,Lara de AndradeSouto,Caroline SampaioSouza,Samara Jesus NascimentoMartins,Luiz Eduardo BarretoPithon,Karla Rochaeng2017-04-25T00:00:00Zoai:scielo:S1809-98232017000100067Revistahttp://revista.unati.uerj.br/scielo.php?script=sci_serial&pid=1809-9823&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||revistabgg@gmail.com1981-22561809-9823opendoar:2017-04-25T00:00Revista Brasileira de Geriatria e Gerontologia - Universidade do Estado do Rio de Janeiro (UERJ)false
dc.title.none.fl_str_mv Development of an application for mobile devices to identify the frailty phenotype among the elderly
title Development of an application for mobile devices to identify the frailty phenotype among the elderly
spellingShingle Development of an application for mobile devices to identify the frailty phenotype among the elderly
Santos,Thassyane Silva dos
Software Validation. Elderly. Frail Elderly. Computer Systems. Decision Making
Computer-Assisted.
title_short Development of an application for mobile devices to identify the frailty phenotype among the elderly
title_full Development of an application for mobile devices to identify the frailty phenotype among the elderly
title_fullStr Development of an application for mobile devices to identify the frailty phenotype among the elderly
title_full_unstemmed Development of an application for mobile devices to identify the frailty phenotype among the elderly
title_sort Development of an application for mobile devices to identify the frailty phenotype among the elderly
author Santos,Thassyane Silva dos
author_facet Santos,Thassyane Silva dos
Brito,Thais Alves
Yokoyama Filho,Francisco Sadao
Guimarães,Lara de Andrade
Souto,Caroline Sampaio
Souza,Samara Jesus Nascimento
Martins,Luiz Eduardo Barreto
Pithon,Karla Rocha
author_role author
author2 Brito,Thais Alves
Yokoyama Filho,Francisco Sadao
Guimarães,Lara de Andrade
Souto,Caroline Sampaio
Souza,Samara Jesus Nascimento
Martins,Luiz Eduardo Barreto
Pithon,Karla Rocha
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Santos,Thassyane Silva dos
Brito,Thais Alves
Yokoyama Filho,Francisco Sadao
Guimarães,Lara de Andrade
Souto,Caroline Sampaio
Souza,Samara Jesus Nascimento
Martins,Luiz Eduardo Barreto
Pithon,Karla Rocha
dc.subject.por.fl_str_mv Software Validation. Elderly. Frail Elderly. Computer Systems. Decision Making
Computer-Assisted.
topic Software Validation. Elderly. Frail Elderly. Computer Systems. Decision Making
Computer-Assisted.
description Abstract Objective: to develop a mobile app to quickly and safely identify frailty syndrome features among the elderly. Method: a cross-sectional study was conducted. The application was developed for the Android platform in the Java programming language and XML markup. The study instrument was based on five frailty phenotype criteria. The tests were conducted with 20 elderly persons living in a long-term care facility. Results: the twenty elderly persons had a mean age of 76.55 (±9.5) years. Thirteen were identified as frail, five were pre-frail and two were non-frail. The comparison of the results of the instruments of analysis coincided in the general evaluation of frailty and in the individual identification of the five criteria. Conclusion: the data suggests that the use of the application for the evaluation of frailty among the elderly was performed safely, with the advantage of quick access to allow the monitoring of the clinical status and prognosis of the patient.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232017000100067
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232017000100067
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1981-22562017020.160025
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade do Estado do Rio Janeiro
publisher.none.fl_str_mv Universidade do Estado do Rio Janeiro
dc.source.none.fl_str_mv Revista Brasileira de Geriatria e Gerontologia v.20 n.1 2017
reponame:Revista Brasileira de Geriatria e Gerontologia
instname:Universidade do Estado do Rio de Janeiro (UERJ)
instacron:UFRJ
instname_str Universidade do Estado do Rio de Janeiro (UERJ)
instacron_str UFRJ
institution UFRJ
reponame_str Revista Brasileira de Geriatria e Gerontologia
collection Revista Brasileira de Geriatria e Gerontologia
repository.name.fl_str_mv Revista Brasileira de Geriatria e Gerontologia - Universidade do Estado do Rio de Janeiro (UERJ)
repository.mail.fl_str_mv ||revistabgg@gmail.com
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