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

Authors :
Almalki M
Sanchez FM
Gray K
Source :
Studies in health technology and informatics [Stud Health Technol Inform] 2015; Vol. 216, pp. 333-7.
Publication Year :
2015

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.

Details

Language :
English
ISSN :
1879-8365
Volume :
216
Database :
MEDLINE
Journal :
Studies in health technology and informatics
Publication Type :
Academic Journal
Accession number :
26262066