Quantifying the Activities of Self-quantifiers: Management of Data, Time and Health.
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.
Health and Biomedical Informatics Centre, University of Melbourne, Melbourne, 3010, Australia.
Manal
M
Almalki
Health and Biomedical Informatics Centre, University of Melbourne, Melbourne, 3010, Australia.
Fernando Martin
FM
Sanchez
Health and Biomedical Informatics Centre, University of Melbourne, Melbourne, 3010, Australia.
Kathleen
K
Gray
D054626:Consumer Health Information / Q000706:statistics & numerical data*; D038622:Internationality; D020407:Internet / Q000706:statistics & numerical data*; D010358:Patient Participation / Q000706:statistics & numerical data*; D012648:Self Care / Q000706:statistics & numerical data*; D012984:Software / Q000706:statistics & numerical data*; D011795:Surveys and Questionnaires; D017748:Time Management / Q000458:organization & administration*; D014600:Utilization Review