Kobe project for the exploration of newer strategies to reduce the social burden of dementia: a study protocol of cohort and intervention studies.
Kobe project for the exploration of newer strategies to reduce the social burden of dementia: a study protocol of cohort and intervention studies.
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DOI：
10.1136/bmjopen-2021-050948
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发表时间：
2021-06-18
期刊：
影响因子：
2.9
通讯作者：
Kayano R
中科院分区：
文献类型：
--
作者：
Nagai Y;Kojima S;Kowa H;Yamamoto Y;Kajita H;Osaki T;Kakei Y;Kothari KU;Kayano R
这项研究项目通过四项个人研究，解决了缺乏筛查工具来早期发现长期护理的高危个人的问题。研究1调查“Kihon检查表”、研究2“认知功能量表”和EQ-5维度(EQ-5D)和研究3“认知功能量表”和EQ-5D以及“虚弱健心”健康体检对事件长期护理认证的预测能力，追踪时间长达4年。这是第一次评估这些工具对结果衡量长期护理认证的预测能力的大型前瞻性研究。本项目研究四的最后一小节旨在探索一种延迟长期护理需求的混合方法干预。这一部分纯粹是探索性的，为进一步的研究寻找线索。基准数据是通过地方政府项目以及邮政自报问卷收集的。所有研究的主要结果变量是长期护理认证数据。统计分析将使用Kaplan-Meier、多元Cox回归以及Logistic回归。该项目希望找出能够有效预测长期护理需求的工具。这将使在不久的将来能够确定长期护理风险较高的公民。这部分高危人群将来可以得到额外的支持/干预。所有研究都得到了各自的机构伦理委员会和世卫组织伦理委员会ERC.0002899的批准。此外，所有研究都符合《赫尔辛基宣言》的规定，并根据日本《涉及人体的医学和健康研究伦理指南》进行。所有调查结果都将在各次会议上传播，并在同行评议的期刊上发表。UMIN000023283。
This research project addresses the lack of screening tools for the early detection of high-risk individuals for long-term care, through four individual studies. Study 1 investigates the predictive ability of the ‘Kihon Check List’, study 2 the ‘Cognitive Function instrument’ and EuroQol-5 Dimension (EQ-5D) and study 3 the ‘Cognitive Function instrument’ and EQ-5D as well as the ‘Frail Kenshin’ health check-up, for incident long-term care certification over a follow-up period of up to 4 years. This is the first large prospective study to evaluate the predictive ability of these tools for the outcome measure long-term care certification. The last subsection of this project study four aims to explore a mixed methods intervention for delaying the need for long-term care. This section is purely exploratory, looking for clues for further studies. Baseline data have been collected through local government programs, as well as through postal self-reported questionnaires. The primary outcome variable for all studies is long-term care certification data. Statistical analysis will be carried out using Kaplan-Meier, Multiple Cox regression as well as logistic regression. This project hopes to identify tools effective in predicting long-term care need. This will enable identification of citizens that are of higher risk for long-term care in the near future. This subset of high-risk individuals can in the future be addressed for extra support/intervention. All studies have been approved by respective institutional ethical committees and the WHO ethical committee ERC.0002899. In addition, all studies conform to the provisions of the Declaration of Helsinki and are conducted in accordance with Japan’s ‘Ethical Guidelines for Medical and Health Research Involving Human Subjects’. All findings will be disseminated at conferences and published in peer-reviewed journals. UMIN000023283.
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影响因子：
14
作者：
Nakanishi, Miharu;Nakashima, Taeko
通讯作者：
Nakashima, Taeko
DOI：
10.1016/j.jamda.2017.03.013
发表时间：
2017-06-01
影响因子：
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作者：
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影响因子：
29
作者：
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通讯作者：
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影响因子：
3.3
作者：
Kojima, Shinsuke;Murotani, Kenta;Nagai, Yoji
通讯作者：
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