Plataforma para otimização da avaliação geriátrica ampla na atenção básica
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU) |
Texto Completo: | https://repositorio.ufersa.edu.br/handle/prefix/4470 |
Resumo: | Increasing population aging and multi-morbidity lead to increased demand for health care and increased spending. Emerging technologies, specifically electronic and mobile healthcare platforms, can be used to prevent illness and help seniors and healthcare professionals maintain a healthy and functional life. This study developed and evaluated a m-health platform for Comprehensive Geriatric Assessment (CGA) to be used in Primary Care, providing the professional with indications of preventive action and, consequently, delaying the establishment of damages to the health of the elderly. It is an exploratory research in the modality of technological development, with a qualitative-quantitative approach, divided in three stages: selection of CGA tests; process of design and conception of the conceptual model. In the first, a narrative and integrative review of the literature on elderly and elderly evaluation scales used in Brazil and in the world was done, followed by filtering, and selection of the scales to compose the mobile platform, within the universe of tests obtained in the previous phase, by two specialists (1 in neurology and one in elderly health), and finally, the evaluation of professionals in the area of collective health to refer to the selected scales considering their feasibility and sensitivity for basic care. The second step consisted in seeking the definition of the conceptual model through a study of the product's functionalities, its requirements, and modeling it through Unified Modeling Language diagrams. The third and last step includes the evaluation via the Rating Scale Mobile form (1 = inadequate and 5 = excellent) together with 22 professionals, 11 of them from Basic Health Care and 11 from Information and Communication Technologies (ICT) to form feedback of suggestions. The study was approved by the Research Ethics Committee with opinion nº 3,181,233. The review resulted in 29 scales, of which 9 were selected for the m-health benchmark. The modeling of the system defined the need for an initial anamnesis; contain physical, mental, and functional exams in your database; to raise problems and to identify priorities according to the results, and thus, to suggest an option of intervention, being also defined the prerequisites, the classes and the relationships of the subjects involved. The platform beta was evaluated positively (general median = 4.0 [4.0-4.25]) and greater than 4 in all dimensions (engagement = 4.0 [4.0-4.0]), functionality = 4.5 [4.0-5.0], aesthetics = 4.0 [3.0-5.0], and information = 4.0 [4.0-4.0]), obtaining Krippendorff's Alpha equal to 0.13. The evaluation by areas was also positive in both the biomedical area and the ICT, obtaining, respectively, 4.0 [4.0-4.0] and 4.0 [4.0-4.0] in the engagement dimension; 5.0 [4.0-5.0] and 4.0 [4.0-5.0] in the functionality dimension; 4.0 [3.0-5.0] and 4.0 [3.0-4.0] in aesthetics; and 4.0 [4.0-5.0] and 4.0 [3.5-4.0] in the information dimension). Thus, it is concluded that the m-health platform for Broad Geriatric Assessment to be used in Basic Care developed has a high degree of quality according to ICT professionals and potential users |
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Plataforma para otimização da avaliação geriátrica ampla na atenção básicaPlataformaM-healthTelemedicinaEngenharia ClínicaIdosoPlatformM-healthTelemedicineClinical EngineeringElderlyOUTROS::CIENCIA COGNITIVAIncreasing population aging and multi-morbidity lead to increased demand for health care and increased spending. Emerging technologies, specifically electronic and mobile healthcare platforms, can be used to prevent illness and help seniors and healthcare professionals maintain a healthy and functional life. This study developed and evaluated a m-health platform for Comprehensive Geriatric Assessment (CGA) to be used in Primary Care, providing the professional with indications of preventive action and, consequently, delaying the establishment of damages to the health of the elderly. It is an exploratory research in the modality of technological development, with a qualitative-quantitative approach, divided in three stages: selection of CGA tests; process of design and conception of the conceptual model. In the first, a narrative and integrative review of the literature on elderly and elderly evaluation scales used in Brazil and in the world was done, followed by filtering, and selection of the scales to compose the mobile platform, within the universe of tests obtained in the previous phase, by two specialists (1 in neurology and one in elderly health), and finally, the evaluation of professionals in the area of collective health to refer to the selected scales considering their feasibility and sensitivity for basic care. The second step consisted in seeking the definition of the conceptual model through a study of the product's functionalities, its requirements, and modeling it through Unified Modeling Language diagrams. The third and last step includes the evaluation via the Rating Scale Mobile form (1 = inadequate and 5 = excellent) together with 22 professionals, 11 of them from Basic Health Care and 11 from Information and Communication Technologies (ICT) to form feedback of suggestions. The study was approved by the Research Ethics Committee with opinion nº 3,181,233. The review resulted in 29 scales, of which 9 were selected for the m-health benchmark. The modeling of the system defined the need for an initial anamnesis; contain physical, mental, and functional exams in your database; to raise problems and to identify priorities according to the results, and thus, to suggest an option of intervention, being also defined the prerequisites, the classes and the relationships of the subjects involved. The platform beta was evaluated positively (general median = 4.0 [4.0-4.25]) and greater than 4 in all dimensions (engagement = 4.0 [4.0-4.0]), functionality = 4.5 [4.0-5.0], aesthetics = 4.0 [3.0-5.0], and information = 4.0 [4.0-4.0]), obtaining Krippendorff's Alpha equal to 0.13. The evaluation by areas was also positive in both the biomedical area and the ICT, obtaining, respectively, 4.0 [4.0-4.0] and 4.0 [4.0-4.0] in the engagement dimension; 5.0 [4.0-5.0] and 4.0 [4.0-5.0] in the functionality dimension; 4.0 [3.0-5.0] and 4.0 [3.0-4.0] in aesthetics; and 4.0 [4.0-5.0] and 4.0 [3.5-4.0] in the information dimension). Thus, it is concluded that the m-health platform for Broad Geriatric Assessment to be used in Basic Care developed has a high degree of quality according to ICT professionals and potential usersO aumento do envelhecimento da população e da multimorbidade conduzem a uma maior demanda por cuidados e maiores gastos com saúde. As tecnologias emergentes, especificamente as plataformas de saúde eletrônica e móveis, podem ser usadas para prevenir doenças e ajudar os idosos e profissionais da saúde a manterem uma vida saudável e funcional. Este estudo desenvolveu e avaliou uma plataforma m-health para Avaliação Geriátrica Ampla (AGA) a ser utilizada na Atenção Básica, proporcionando ao profissional indicações de ação preventiva e, consequente, retardo do estabelecimento de danos à saúde de idosos. Trata-se de uma pesquisa exploratória na modalidade de desenvolvimento tecnológico, com abordagem quali-quantitativa, dividida em três etapas: seleção dos testes da AGA; processo de design e, concepção do modelo conceitual. Na primeira, foi feita uma revisão narrativa e integrativa da literatura sobre escalas de avaliação de idosos empregadas no Brasil e no mundo, seguida da filtragem, e seleção das escalas a comporem a plataforma móvel, dentro do universo de testes obtidos na fase anterior, por dois especialistas (1 em neurologia e 1 em saúde da pessoa idosa), e, por fim, a avaliação de profissional da área de saúde coletiva para referendar as escalas selecionadas considerando sua exequibilidade e sensibilidade para atenção básica. A segunda etapa consistiu em buscar a definição do modelo conceitual através de estudo das funcionalidades do produto, seus requisitos, modelando-o através de diagramas Unified Modeling Language. O terceiro e último passo contempla a avaliação via formulário Rating Scale Mobile (1 = inadequado e 5 = excelente) junto a 22 profissionais, sendo 11 destes da Atenção Básica à Saúde e 11 das Tecnologias da Informação e Comunicação (TIC) para formação de feedback de sugestões. O estudo foi aprovado pelo Comitê de Ética em Pesquisa com parecer nº 3.181.233. A revisão resultou em 29 escalas, destas, 9 foram selecionadas para o banco de avaliações da m-health. A modelagem do sistema definiu a necessidade deste realizar uma anamnese inicial; conter exames físicos, mentais e funcionais em seu banco de dados; levantar problemas e identificar prioridades conforme os resultados, e assim, sugerir uma opção de intervenção, sendo ainda definido os pré-requisitos, as classes e os relacionamentos dos sujeitos envolvidos. A versão beta da plataforma foi avaliada positivamente (mediana geral = 4,0 [4,0-4,25]) e superior a 4 em todas as dimensões (engajamento = 4,0 [4,0-4,0]; funcionalidade = 4,5 [4,0-5,0]; estética = 4,0 [3,0-5,0]; e informações = 4,0 [4,0-4,0]), obtendo Krippendorff’s Alpha igual a 0,13. A avaliação por áreas também foi positiva tanto da área biomédica quanto das TIC, obtendo respectivamente, 4,0 [4,0-4,0] e 4,0 [4,0-4,0] na dimensão engajamento; 5,0 [4,0-5,0] e 4,0 [4,0-5,0] na dimensão funcionalidade; 4,0 [3,0-5,0] e 4,0 [3,0-4,0] em estética; e, 4,0 [4,0-5,0] e 4,0 [3,5-4,0] na dimensão informação). Dessa maneira, conclui-se que a plataforma m-health para Avaliação Geriátrica Ampla a ser utilizada na Atenção Básica desenvolvida detém alto grau de qualidade de acordo com os profissionais das TIC e os potenciais usuáriosTrabalho não financiado por agência de fomento, ou autofinanciadoUniversidade Federal Rural do Semi-ÁridoBrasilCentro de Ciências Sociais Aplicadas e Humanas - CCSAHUFERSAPrograma de Pós-Graduação Interdisciplinar em Cognição, Tecnologias e InstituiçõesMartins, Remerson Russel00022052400http://lattes.cnpq.br/6904855501043136Monteiro, Bruno de Sousa05388377482http://lattes.cnpq.br/7054573122944045Leite, Cicília Raquel Maia03777857416http://lattes.cnpq.br/9378258073324535Freitas, Éberte Valter da Silva2020-02-21T00:07:12Z2019-05-312020-02-21T00:07:12Z2019-04-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfCitação com autor incluído no texto: Freitas (2019) Citação com autor não incluído no texto: (FREITAS, 2019)https://repositorio.ufersa.edu.br/handle/prefix/4470porFREITAS, Éberte Valter da Silva. Plataforma para otimização da avaliação geriátrica ampla na atenção básica. 2019. 98 f. Dissertação (Mestrado em Cognição, Tecnologias e Instituições), Universidade Federal Rural do Semi-Árido, Mossoró, 2019.CC-BY-SAinfo:eu-repo/semantics/openAccessreponame:Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU)instname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSA2023-11-20T20:35:19Zoai:repositorio.ufersa.edu.br:prefix/4470Repositório Institucionalhttps://repositorio.ufersa.edu.br/PUBhttps://repositorio.ufersa.edu.br/server/oai/requestrepositorio@ufersa.edu.br || admrepositorio@ufersa.edu.bropendoar:2023-11-20T20:35:19Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU) - Universidade Federal Rural do Semi-Árido (UFERSA)false |
dc.title.none.fl_str_mv |
Plataforma para otimização da avaliação geriátrica ampla na atenção básica |
title |
Plataforma para otimização da avaliação geriátrica ampla na atenção básica |
spellingShingle |
Plataforma para otimização da avaliação geriátrica ampla na atenção básica Freitas, Éberte Valter da Silva Plataforma M-health Telemedicina Engenharia Clínica Idoso Platform M-health Telemedicine Clinical Engineering Elderly OUTROS::CIENCIA COGNITIVA |
title_short |
Plataforma para otimização da avaliação geriátrica ampla na atenção básica |
title_full |
Plataforma para otimização da avaliação geriátrica ampla na atenção básica |
title_fullStr |
Plataforma para otimização da avaliação geriátrica ampla na atenção básica |
title_full_unstemmed |
Plataforma para otimização da avaliação geriátrica ampla na atenção básica |
title_sort |
Plataforma para otimização da avaliação geriátrica ampla na atenção básica |
author |
Freitas, Éberte Valter da Silva |
author_facet |
Freitas, Éberte Valter da Silva |
author_role |
author |
dc.contributor.none.fl_str_mv |
Martins, Remerson Russel 00022052400 http://lattes.cnpq.br/6904855501043136 Monteiro, Bruno de Sousa 05388377482 http://lattes.cnpq.br/7054573122944045 Leite, Cicília Raquel Maia 03777857416 http://lattes.cnpq.br/9378258073324535 |
dc.contributor.author.fl_str_mv |
Freitas, Éberte Valter da Silva |
dc.subject.por.fl_str_mv |
Plataforma M-health Telemedicina Engenharia Clínica Idoso Platform M-health Telemedicine Clinical Engineering Elderly OUTROS::CIENCIA COGNITIVA |
topic |
Plataforma M-health Telemedicina Engenharia Clínica Idoso Platform M-health Telemedicine Clinical Engineering Elderly OUTROS::CIENCIA COGNITIVA |
description |
Increasing population aging and multi-morbidity lead to increased demand for health care and increased spending. Emerging technologies, specifically electronic and mobile healthcare platforms, can be used to prevent illness and help seniors and healthcare professionals maintain a healthy and functional life. This study developed and evaluated a m-health platform for Comprehensive Geriatric Assessment (CGA) to be used in Primary Care, providing the professional with indications of preventive action and, consequently, delaying the establishment of damages to the health of the elderly. It is an exploratory research in the modality of technological development, with a qualitative-quantitative approach, divided in three stages: selection of CGA tests; process of design and conception of the conceptual model. In the first, a narrative and integrative review of the literature on elderly and elderly evaluation scales used in Brazil and in the world was done, followed by filtering, and selection of the scales to compose the mobile platform, within the universe of tests obtained in the previous phase, by two specialists (1 in neurology and one in elderly health), and finally, the evaluation of professionals in the area of collective health to refer to the selected scales considering their feasibility and sensitivity for basic care. The second step consisted in seeking the definition of the conceptual model through a study of the product's functionalities, its requirements, and modeling it through Unified Modeling Language diagrams. The third and last step includes the evaluation via the Rating Scale Mobile form (1 = inadequate and 5 = excellent) together with 22 professionals, 11 of them from Basic Health Care and 11 from Information and Communication Technologies (ICT) to form feedback of suggestions. The study was approved by the Research Ethics Committee with opinion nº 3,181,233. The review resulted in 29 scales, of which 9 were selected for the m-health benchmark. The modeling of the system defined the need for an initial anamnesis; contain physical, mental, and functional exams in your database; to raise problems and to identify priorities according to the results, and thus, to suggest an option of intervention, being also defined the prerequisites, the classes and the relationships of the subjects involved. The platform beta was evaluated positively (general median = 4.0 [4.0-4.25]) and greater than 4 in all dimensions (engagement = 4.0 [4.0-4.0]), functionality = 4.5 [4.0-5.0], aesthetics = 4.0 [3.0-5.0], and information = 4.0 [4.0-4.0]), obtaining Krippendorff's Alpha equal to 0.13. The evaluation by areas was also positive in both the biomedical area and the ICT, obtaining, respectively, 4.0 [4.0-4.0] and 4.0 [4.0-4.0] in the engagement dimension; 5.0 [4.0-5.0] and 4.0 [4.0-5.0] in the functionality dimension; 4.0 [3.0-5.0] and 4.0 [3.0-4.0] in aesthetics; and 4.0 [4.0-5.0] and 4.0 [3.5-4.0] in the information dimension). Thus, it is concluded that the m-health platform for Broad Geriatric Assessment to be used in Basic Care developed has a high degree of quality according to ICT professionals and potential users |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-31 2019-04-12 2020-02-21T00:07:12Z 2020-02-21T00:07:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Citação com autor incluído no texto: Freitas (2019) Citação com autor não incluído no texto: (FREITAS, 2019) https://repositorio.ufersa.edu.br/handle/prefix/4470 |
identifier_str_mv |
Citação com autor incluído no texto: Freitas (2019) Citação com autor não incluído no texto: (FREITAS, 2019) |
url |
https://repositorio.ufersa.edu.br/handle/prefix/4470 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
FREITAS, Éberte Valter da Silva. Plataforma para otimização da avaliação geriátrica ampla na atenção básica. 2019. 98 f. Dissertação (Mestrado em Cognição, Tecnologias e Instituições), Universidade Federal Rural do Semi-Árido, Mossoró, 2019. |
dc.rights.driver.fl_str_mv |
CC-BY-SA info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
CC-BY-SA |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido Brasil Centro de Ciências Sociais Aplicadas e Humanas - CCSAH UFERSA Programa de Pós-Graduação Interdisciplinar em Cognição, Tecnologias e Instituições |
publisher.none.fl_str_mv |
Universidade Federal Rural do Semi-Árido Brasil Centro de Ciências Sociais Aplicadas e Humanas - CCSAH UFERSA Programa de Pós-Graduação Interdisciplinar em Cognição, Tecnologias e Instituições |
dc.source.none.fl_str_mv |
reponame:Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU) instname:Universidade Federal Rural do Semi-Árido (UFERSA) instacron:UFERSA |
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Universidade Federal Rural do Semi-Árido (UFERSA) |
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UFERSA |
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UFERSA |
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Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU) |
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Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU) |
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Repositório Digital da Universidade Federal Rural do Semi-Árido (RDU) - Universidade Federal Rural do Semi-Árido (UFERSA) |
repository.mail.fl_str_mv |
repositorio@ufersa.edu.br || admrepositorio@ufersa.edu.br |
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1809747446636478464 |