Literature DB >> 26262066

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

Manal Almalki1, Fernando Martin Sanchez1, Kathleen Gray1.   

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.

Mesh:

Year:  2015        PMID: 26262066

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

Review 1.  Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies.

Authors:  Manal Almalki; Kathleen Gray; Fernando Martin-Sanchez
Journal:  J Med Internet Res       Date:  2016-05-27       Impact factor: 5.428

2.  Research data management in health and biomedical citizen science: practices and prospects.

Authors:  Ann Borda; Kathleen Gray; Yuqing Fu
Journal:  JAMIA Open       Date:  2019-12-09

3.  Development and Validation of a Taxonomy for Characterizing Measurements in Health Self-Quantification.

Authors:  Manal Almalki; Kathleen Gray; Fernando Martin-Sanchez
Journal:  J Med Internet Res       Date:  2017-11-03       Impact factor: 5.428

  3 in total

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