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量化自我量化者的活动:数据、时间与健康管理

Quantifying the Activities of Self-quantifiers: Management of Data, Time and Health.

作者信息

Almalki Manal, Sanchez Fernando Martin, Gray Kathleen

机构信息

Health and Biomedical Informatics Centre, University of Melbourne, Melbourne, 3010, Australia.

出版信息

Stud Health Technol Inform. 2015;216:333-7.

Abstract

Current self-quantification systems (SQS) are limited in their ability to support the acquisition of health-related information essential for individuals to make informed decisions based on their health status. They do not offer services such as data handling and data aggregation in a single place, and using multiple types of tools for this purpose complicates data and health self-management for self-quantifiers. An online survey was used to elicit information from self-quantifiers about the methods they used to undertake key activities related to health self-management. This paper provides empirical evidence about self-quantifiers' time spent using different data collection, data handling, data analysis, and data sharing tools and draws implications for health self-management activities.

摘要

当前的自我量化系统(SQS)在支持获取对个人基于自身健康状况做出明智决策至关重要的健康相关信息方面能力有限。它们无法在单一地点提供诸如数据处理和数据汇总等服务,为此使用多种类型的工具会使自我量化者的数据和健康自我管理变得复杂。一项在线调查被用于从自我量化者那里获取有关他们用于开展与健康自我管理相关关键活动的方法的信息。本文提供了关于自我量化者使用不同数据收集、数据处理、数据分析和数据共享工具所花费时间的实证证据,并对健康自我管理活动提出了启示。

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