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衰弱临床预测模型(ModulEn)的开发与验证研究方案:欧洲应对衰弱的新承诺。

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

作者信息

Apóstolo J, Bobrowicz-Campos E, Moreno-Casbas T, Teixeira-Santos L, Sánchez de Madariaga R, Casado-Ramírez E, Couto F, Coelho A, Parola V, Gil I, Pascual-Carrasco M, Almeida M de L

机构信息

Nursing School of Coimbra, Coimbra, Portugal.

The Health Sciences Research Unit: Nursing, Nursing School of Coimbra, Coimbra, Portugal.

出版信息

Transl Med UniSa. 2019 Jan 6;19:36-41. eCollection 2019 Jan-Jun.

Abstract

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.

摘要

实施和评估能够实现与年龄相关的衰弱早期检测并能够评估衰弱组成部分预测价值的技术解决方案的需求日益增长。广泛使用这些解决方案可确保卫生和社会护理系统对与人口老龄化相关的挑战做出高效且可持续的应对。在本文中,我们展示了ModulEn研究的方案,该研究旨在开发并验证一个衰弱预测模型。为此,将邀请从社区招募的65至80岁老年人组成的样本使用电子设备ACM Kronowise® 2.0。该设备可对昼夜节律健康、身体活动以及睡眠和饮食习惯进行主动且持续的监测。监测将持续七至十天。参与者还将收到评估感兴趣变量(包括衰弱水平)以及他们使用该设备的体验和满意度的问卷。将结合这两个来源提供的数据并确定相关关联。我们认为,这项研究结果对临床实践的影响包括有可能开发并验证及时预防衰弱进展的工具。从长远来看,ModulEn可能有助于大幅减轻欧洲的衰弱负担。

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