A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty

Detalhes bibliográficos
Autor(a) principal: Apóstolo, J
Data de Publicação: 2019
Outros Autores: Bobrowicz-Campos, E, Moreno-Casbas, T, Teixeira-Santos, L, Sánchez de Madariaga, R, Casado-Ramírez, E, Couto, F, Coelho, A, Parola, Vítor, Gil, I, Pascual-Carrasco, M, Almeida, M de L
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10284/8404
Resumo: There is a growing need to implement and evaluate the technological solutions that allow the early detection of age-related frailty and enable assessment of the predictive values of frailty components. The broad use of these solutions may ensure an efficient and sustainable response of health and social care systems to the challenges related to demographic aging. In this paper, we present the protocol of the ModulEn study that aims to develop and validate a predictive model for frailty. For this purpose, the sample composed by older adults aged 65-80 years and recruited from the community will be invited to use an electronic device ACM Kronowise® 2.0. This device allows proactive and continuous monitoring of circadian health, physical activity, and sleep and eating habits. It will be used during a period of seven to ten days. The participants will also be given the questionnaires evaluating the variables of interest, including frailty level, as well as their experience and satisfaction with the device use. Data provided from these two sources will be combined and the relevant associations will be identified. In our view, the implications of this study' findings for clinical practice include the possibility to develop and validate tools for timely prevention of frailty progress. In the long term, the ModulEn may contribute to the critical reduction of frailty burden in Europe.
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spelling A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling FrailtyPredictive modelDigital solutionsOlder adultsFrailtyCircadian healthCitizen engagementThere is a growing need to implement and evaluate the technological solutions that allow the early detection of age-related frailty and enable assessment of the predictive values of frailty components. The broad use of these solutions may ensure an efficient and sustainable response of health and social care systems to the challenges related to demographic aging. In this paper, we present the protocol of the ModulEn study that aims to develop and validate a predictive model for frailty. For this purpose, the sample composed by older adults aged 65-80 years and recruited from the community will be invited to use an electronic device ACM Kronowise® 2.0. This device allows proactive and continuous monitoring of circadian health, physical activity, and sleep and eating habits. It will be used during a period of seven to ten days. The participants will also be given the questionnaires evaluating the variables of interest, including frailty level, as well as their experience and satisfaction with the device use. Data provided from these two sources will be combined and the relevant associations will be identified. In our view, the implications of this study' findings for clinical practice include the possibility to develop and validate tools for timely prevention of frailty progress. In the long term, the ModulEn may contribute to the critical reduction of frailty burden in Europe.Repositório Institucional da Universidade Fernando PessoaApóstolo, JBobrowicz-Campos, EMoreno-Casbas, TTeixeira-Santos, LSánchez de Madariaga, RCasado-Ramírez, ECouto, FCoelho, AParola, VítorGil, IPascual-Carrasco, MAlmeida, M de L2020-01-15T10:22:29Z2019-01-01T00:00:00Z2019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/8404eng2239-9747info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-06T02:07:47Zoai:bdigital.ufp.pt:10284/8404Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:45:18.079592Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
title A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
spellingShingle A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
Apóstolo, J
Predictive model
Digital solutions
Older adults
Frailty
Circadian health
Citizen engagement
title_short A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
title_full A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
title_fullStr A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
title_full_unstemmed A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
title_sort A Study Protocol for Development and Validation of a Clinical Prediction Model for Frailty (ModulEn): a new European Commitment to Tackling Frailty
author Apóstolo, J
author_facet Apóstolo, J
Bobrowicz-Campos, E
Moreno-Casbas, T
Teixeira-Santos, L
Sánchez de Madariaga, R
Casado-Ramírez, E
Couto, F
Coelho, A
Parola, Vítor
Gil, I
Pascual-Carrasco, M
Almeida, M de L
author_role author
author2 Bobrowicz-Campos, E
Moreno-Casbas, T
Teixeira-Santos, L
Sánchez de Madariaga, R
Casado-Ramírez, E
Couto, F
Coelho, A
Parola, Vítor
Gil, I
Pascual-Carrasco, M
Almeida, M de L
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Institucional da Universidade Fernando Pessoa
dc.contributor.author.fl_str_mv Apóstolo, J
Bobrowicz-Campos, E
Moreno-Casbas, T
Teixeira-Santos, L
Sánchez de Madariaga, R
Casado-Ramírez, E
Couto, F
Coelho, A
Parola, Vítor
Gil, I
Pascual-Carrasco, M
Almeida, M de L
dc.subject.por.fl_str_mv Predictive model
Digital solutions
Older adults
Frailty
Circadian health
Citizen engagement
topic Predictive model
Digital solutions
Older adults
Frailty
Circadian health
Citizen engagement
description There is a growing need to implement and evaluate the technological solutions that allow the early detection of age-related frailty and enable assessment of the predictive values of frailty components. The broad use of these solutions may ensure an efficient and sustainable response of health and social care systems to the challenges related to demographic aging. In this paper, we present the protocol of the ModulEn study that aims to develop and validate a predictive model for frailty. For this purpose, the sample composed by older adults aged 65-80 years and recruited from the community will be invited to use an electronic device ACM Kronowise® 2.0. This device allows proactive and continuous monitoring of circadian health, physical activity, and sleep and eating habits. It will be used during a period of seven to ten days. The participants will also be given the questionnaires evaluating the variables of interest, including frailty level, as well as their experience and satisfaction with the device use. Data provided from these two sources will be combined and the relevant associations will be identified. In our view, the implications of this study' findings for clinical practice include the possibility to develop and validate tools for timely prevention of frailty progress. In the long term, the ModulEn may contribute to the critical reduction of frailty burden in Europe.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01T00:00:00Z
2019-01-01T00:00:00Z
2020-01-15T10:22:29Z
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10284/8404
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dc.language.iso.fl_str_mv eng
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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