Development of an application for mobile devices to identify the frailty phenotype among the elderly
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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Universidade do Estado do Rio Janeiro
2017
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oai:scielo:S1809-982320170001000672017-04-25Development of an application for mobile devices to identify the frailty phenotype among the elderlySantos,Thassyane Silva dosBrito,Thais AlvesYokoyama Filho,Francisco SadaoGuimarães,Lara de AndradeSouto,Caroline SampaioSouza,Samara Jesus NascimentoMartins,Luiz Eduardo BarretoPithon,Karla Rocha Software Validation. Elderly. Frail Elderly. Computer Systems. Decision Making Computer-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.info:eu-repo/semantics/openAccessUniversidade do Estado do Rio JaneiroRevista Brasileira de Geriatria e Gerontologia v.20 n.1 20172017-02-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232017000100067en10.1590/1981-22562017020.160025 |
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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 |
| spellingShingle |
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 Development of an application for mobile devices to identify the frailty phenotype among the elderly |
| 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_sort |
Santos,Thassyane Silva dos |
| title |
Development of an application for mobile devices to identify the frailty phenotype among the elderly |
| 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 |
| 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. |
| publisher |
Universidade do Estado do Rio Janeiro |
| publishDate |
2017 |
| url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1809-98232017000100067 |
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