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Quantifying the Activities of Self-quantifiers: Management of Data, Time and Health.
- 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.
- Subjects :
- Internationality
Surveys and Questionnaires
Utilization Review
Consumer Health Information statistics & numerical data
Internet statistics & numerical data
Patient Participation statistics & numerical data
Self Care statistics & numerical data
Software statistics & numerical data
Time Management organization & administration
Subjects
Details
- Language :
- English
- ISSN :
- 1879-8365
- Volume :
- 216
- Database :
- MEDLINE
- Journal :
- Studies in health technology and informatics
- Publication Type :
- Academic Journal
- Accession number :
- 26262066