Development of an application for mobile devices to identify the frailty phenotype among the elderly
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , |
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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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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1750128436222885888 |