Exploring mobile health applications for self-management of Diabetes Mellitus
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca de teses e dissertações da Universidade de Passo Fundo (BDTD UPF) |
Texto Completo: | http://tede.upf.br/jspui/handle/tede/1668 |
Resumo: | The increasing number of diabetes mellitus (DM) m-health applications (apps) reveals a panoramaof different approaches to the subject matter. Available applications have various functions and capabilities. Especially in the daily treatment of Type 1 Diabetes Mellitus (T1DM), the patientneeds to deal with many data and consider many variables to perform actions, decisions, and regimen adjustments. There is a need to apply filtering techniques to extract relevant information and provide appropriate data visualization methods to assist in clinical tasks and decisionmaking. Therefore, this master’s thesis presents the development of Soins DM, an m-Health tool for monitoring the linkage among treatment factors of T1DM with an interactive data visualization approach. Initially, we systematically reviewed the literature to investigate DM app’s features, the basis for its design and testing. After, we searched the Internet and tested interactive resourcesof diabetes-related technologies. Hence, the approaches and key characteristics of a novel app were discussed and identified. Next, we built a prototype with high-fidelity level, full-featured, and interactive, in order to test and gather feedback, when 76 users participated. After analyzing the feedback obtained, we made the necessary adjustments to the project and implemented the software using React Native framework, Firebase server, and Angular framework. With the app and its website version built, we move on to the assessment phase. We conducted a pilot experiment with 4 patients, an online experiment for satisfaction assessment with 97 patients, and an online assessment by 9 health professionals. As a result, in the systematic review, 679 studies were screened for eligibility, when 39 studies met the inclusion criteria. In this regard, we present tables summarizing the functionalities, features, and fundamental techniques of the existing apps. Prototyping and feedback facilitated the app’s design refinement. Soins DM enables the recording of data from glycemia, insulin applications, meals, and physical exercises. From these logs, the app builds two different ways of interactive data visualization, a timeline and an integrated chart, providing personalized feedback on bad glycemia with its possible causes. The assessments revealed overall satisfaction with the app’s characteristics. The test scenario with patients and health professionals indicates Soins DM as a useful and reliable tool. |
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De Marchi, Ana Carolina Bertoletti73750220034http://lattes.cnpq.br/4180557886735944Lisboa, Hugo Roberto Kurtz14185326068http://lattes.cnpq.br/621555913841473608888196927http://lattes.cnpq.br/5193035303384605Bellei, Ericles Andrei2019-05-10T18:42:16Z2019-03-14BELLEI, Ericles Andrei. Exploring mobile health applications for self-management of Diabetes Mellitus. 2019. 42 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2019.http://tede.upf.br/jspui/handle/tede/1668The increasing number of diabetes mellitus (DM) m-health applications (apps) reveals a panoramaof different approaches to the subject matter. Available applications have various functions and capabilities. Especially in the daily treatment of Type 1 Diabetes Mellitus (T1DM), the patientneeds to deal with many data and consider many variables to perform actions, decisions, and regimen adjustments. There is a need to apply filtering techniques to extract relevant information and provide appropriate data visualization methods to assist in clinical tasks and decisionmaking. Therefore, this master’s thesis presents the development of Soins DM, an m-Health tool for monitoring the linkage among treatment factors of T1DM with an interactive data visualization approach. Initially, we systematically reviewed the literature to investigate DM app’s features, the basis for its design and testing. After, we searched the Internet and tested interactive resourcesof diabetes-related technologies. Hence, the approaches and key characteristics of a novel app were discussed and identified. Next, we built a prototype with high-fidelity level, full-featured, and interactive, in order to test and gather feedback, when 76 users participated. After analyzing the feedback obtained, we made the necessary adjustments to the project and implemented the software using React Native framework, Firebase server, and Angular framework. With the app and its website version built, we move on to the assessment phase. We conducted a pilot experiment with 4 patients, an online experiment for satisfaction assessment with 97 patients, and an online assessment by 9 health professionals. As a result, in the systematic review, 679 studies were screened for eligibility, when 39 studies met the inclusion criteria. In this regard, we present tables summarizing the functionalities, features, and fundamental techniques of the existing apps. Prototyping and feedback facilitated the app’s design refinement. Soins DM enables the recording of data from glycemia, insulin applications, meals, and physical exercises. From these logs, the app builds two different ways of interactive data visualization, a timeline and an integrated chart, providing personalized feedback on bad glycemia with its possible causes. The assessments revealed overall satisfaction with the app’s characteristics. The test scenario with patients and health professionals indicates Soins DM as a useful and reliable tool.No florescente cenário de m-Health (mobile health) para Diabetes Mellitus (DM), os aplicativos (apps) já disponíveis contam com variados recursos e funcionalidades. Particularmente, na rotina diária do Diabetes Mellitus Tipo 1 (DM1), o paciente precisa considerar diversos dados e variáveis para tomar decisões sobre seu tratamento. Nesse cenário, são necessários artifícios para extrair informações relevantes e fornecer métodos de visualização de dados que auxiliem nas tarefas clínicas. Para isso, esta dissertação apresenta o desenvolvimento de Soins DM, uma solução m-Health para acompanhamento da interdependência entre os fatores de tratamento de DM1 com uma abordagem de visualização de dados interativa. Inicialmente, foi executada uma revisão sistemática de literatura para investigar as funcionalidades e as técnicas de fundamentação dos apps existentes. Na sequência, foi efetuada uma pesquisa sobre recursos interativos de tecnologias relacionadas à monitorização de diabetes. Assim, as abordagens e as principais características para um novo aplicativo foram discutidas e identificadas. Em seguida, foi criado um protótipo interativo de alta fidelidade para testes com feedback de 76 usuários. Após análise do feedback, o projeto do app foi ajustado e o software foi desenvolvido com os frameworks React Native, Angular e Firebase. Construído o app e sua versão web, passou-se para a fase de avaliação. Foi realizado um experimento piloto com 4 pacientes, um experimento online para avaliação de satisfação com 97 pacientes e uma avaliação online com 9 profissionais de saúde. Como resultado, na revisão sistemática, 679 estudos foram analisados e 39 estudos foram selecionados pelos critérios de inclusão. São apresentadas tabelas sumarizando as funcionalidades, recursos e técnicas de fundamentação dos apps existentes. A prototipagem e o feedback facilitaram o refinamento de design do aplicativo, que permite o registro de dados de glicemia, aplicações de insulina, refeições e exercícios físicos. A partir desses registros, o aplicativo cria duas diferentes formas de visualização interativa de dados: uma linha do tempo e um gráfico integrado ¿ fornecendo feedback personalizado sobre glicemias inadequadas com suas possíveis causas. As avaliações revelaram satisfação geral com as características do aplicativo. Os testes com pacientes e profissionais de saúde indicaram Soins DM como uma ferramenta útil e confiável.Submitted by Mariana Freitas (marianafreitas@upf.br) on 2019-05-10T18:42:16Z No. of bitstreams: 1 2019EriclesAndreiBellei.pdf: 373040 bytes, checksum: 514b228e14eb85688df271e564b5559c (MD5)Made available in DSpace on 2019-05-10T18:42:16Z (GMT). No. of bitstreams: 1 2019EriclesAndreiBellei.pdf: 373040 bytes, checksum: 514b228e14eb85688df271e564b5559c (MD5) Previous issue date: 2019-03-14application/pdfporUniversidade de Passo FundoPrograma de Pós-Graduação em Computação AplicadaUPFBrasilInstituto de Ciências Exatas e Geociências – ICEGDiabetesTelefonia celularCuidados pessoais com a saúdeCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOExploring mobile health applications for self-management of Diabetes MellitusExplorando aplicações móveis de saúde para o autogerenciamento de Diabetes Mellitusinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-70926567600265482650050060061067264934210586263671711205811204509info:eu-repo/semantics/openAccessreponame:Biblioteca de teses e dissertações da Universidade de Passo Fundo (BDTD UPF)instname:Universidade de Passo Fundo (UPF)instacron:UPFLICENSElicense.txtlicense.txttext/plain; charset=utf-81940http://tede.upf.br:8080/jspui/bitstream/tede/1668/1/license.txte0faded76e3df80302a4a0fb3f2bb5f3MD51ORIGINAL2019EriclesAndreiBellei.pdf2019EriclesAndreiBellei.pdfapplication/pdf373040http://tede.upf.br:8080/jspui/bitstream/tede/1668/2/2019EriclesAndreiBellei.pdf514b228e14eb85688df271e564b5559cMD52tede/16682019-05-10 15:42:16.334oai:tede.upf.br: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Biblioteca Digital de Teses e DissertaçõesPUBhttp://tede.upf.br/oai/requestbiblio@upf.br || bio@upf.br || cas@upf.br || car@upf.br || lve@upf.br || sar@upf.br || sol@upf.br || upfmundi@upf.br || jucelei@upf.bropendoar:2019-05-10T18:42:16Biblioteca de teses e dissertações da Universidade de Passo Fundo (BDTD UPF) - Universidade de Passo Fundo (UPF)false |
dc.title.por.fl_str_mv |
Exploring mobile health applications for self-management of Diabetes Mellitus |
dc.title.alternative.por.fl_str_mv |
Explorando aplicações móveis de saúde para o autogerenciamento de Diabetes Mellitus |
title |
Exploring mobile health applications for self-management of Diabetes Mellitus |
spellingShingle |
Exploring mobile health applications for self-management of Diabetes Mellitus Bellei, Ericles Andrei Diabetes Telefonia celular Cuidados pessoais com a saúde CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
title_short |
Exploring mobile health applications for self-management of Diabetes Mellitus |
title_full |
Exploring mobile health applications for self-management of Diabetes Mellitus |
title_fullStr |
Exploring mobile health applications for self-management of Diabetes Mellitus |
title_full_unstemmed |
Exploring mobile health applications for self-management of Diabetes Mellitus |
title_sort |
Exploring mobile health applications for self-management of Diabetes Mellitus |
author |
Bellei, Ericles Andrei |
author_facet |
Bellei, Ericles Andrei |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
De Marchi, Ana Carolina Bertoletti |
dc.contributor.advisor1ID.fl_str_mv |
73750220034 |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/4180557886735944 |
dc.contributor.advisor-co1.fl_str_mv |
Lisboa, Hugo Roberto Kurtz |
dc.contributor.advisor-co1ID.fl_str_mv |
14185326068 |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/6215559138414736 |
dc.contributor.authorID.fl_str_mv |
08888196927 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/5193035303384605 |
dc.contributor.author.fl_str_mv |
Bellei, Ericles Andrei |
contributor_str_mv |
De Marchi, Ana Carolina Bertoletti Lisboa, Hugo Roberto Kurtz |
dc.subject.por.fl_str_mv |
Diabetes Telefonia celular Cuidados pessoais com a saúde |
topic |
Diabetes Telefonia celular Cuidados pessoais com a saúde CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
description |
The increasing number of diabetes mellitus (DM) m-health applications (apps) reveals a panoramaof different approaches to the subject matter. Available applications have various functions and capabilities. Especially in the daily treatment of Type 1 Diabetes Mellitus (T1DM), the patientneeds to deal with many data and consider many variables to perform actions, decisions, and regimen adjustments. There is a need to apply filtering techniques to extract relevant information and provide appropriate data visualization methods to assist in clinical tasks and decisionmaking. Therefore, this master’s thesis presents the development of Soins DM, an m-Health tool for monitoring the linkage among treatment factors of T1DM with an interactive data visualization approach. Initially, we systematically reviewed the literature to investigate DM app’s features, the basis for its design and testing. After, we searched the Internet and tested interactive resourcesof diabetes-related technologies. Hence, the approaches and key characteristics of a novel app were discussed and identified. Next, we built a prototype with high-fidelity level, full-featured, and interactive, in order to test and gather feedback, when 76 users participated. After analyzing the feedback obtained, we made the necessary adjustments to the project and implemented the software using React Native framework, Firebase server, and Angular framework. With the app and its website version built, we move on to the assessment phase. We conducted a pilot experiment with 4 patients, an online experiment for satisfaction assessment with 97 patients, and an online assessment by 9 health professionals. As a result, in the systematic review, 679 studies were screened for eligibility, when 39 studies met the inclusion criteria. In this regard, we present tables summarizing the functionalities, features, and fundamental techniques of the existing apps. Prototyping and feedback facilitated the app’s design refinement. Soins DM enables the recording of data from glycemia, insulin applications, meals, and physical exercises. From these logs, the app builds two different ways of interactive data visualization, a timeline and an integrated chart, providing personalized feedback on bad glycemia with its possible causes. The assessments revealed overall satisfaction with the app’s characteristics. The test scenario with patients and health professionals indicates Soins DM as a useful and reliable tool. |
publishDate |
2019 |
dc.date.accessioned.fl_str_mv |
2019-05-10T18:42:16Z |
dc.date.issued.fl_str_mv |
2019-03-14 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
BELLEI, Ericles Andrei. Exploring mobile health applications for self-management of Diabetes Mellitus. 2019. 42 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2019. |
dc.identifier.uri.fl_str_mv |
http://tede.upf.br/jspui/handle/tede/1668 |
identifier_str_mv |
BELLEI, Ericles Andrei. Exploring mobile health applications for self-management of Diabetes Mellitus. 2019. 42 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2019. |
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por |
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por |
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openAccess |
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Universidade de Passo Fundo |
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UPF |
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Brasil |
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Instituto de Ciências Exatas e Geociências – ICEG |
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Universidade de Passo Fundo |
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