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Quantifying the Quantified Self : A Study on the Motivation of Patients to Track Their Own Health

Title data

Gimpel, Henner ; Nißen, Marcia ; Görlitz, Roland A.:
Quantifying the Quantified Self : A Study on the Motivation of Patients to Track Their Own Health.
2013
Event: 34th International Conference on Information Systems (ICIS) , 15.-18. Dez. 2013 , Milan, Italy.
(Conference item: Conference , Paper )

Official URL: Volltext

Abstract in another language

A new generation of patient-driven healthcare information systems (HIS) is emerging to advance traditional healthcare services and empower patient self-responsibility. Professional approaches to develop or improve HIS exist alongside evolving individual and community-shared approaches where patients take responsibility for their health data and health. Health Social Networks and the Quantified Self community are examples for such patient-driven initiatives. They inherently focus on empowering self-determination and responsibility. The success of future HIS relies – at least partially – on their engineers’ and developers’ capability to understand and use impulses from their respective target groups. The present study on self-tracking motivations aims to shed light on what drives people to track themselves. To this end, we conducted an exploratory survey with 150 self-trackers and developed a Five-Factor-Framework of Self-Tracking Motivations. The framework includes an inventory of five factors and a psychometrical scale of 19 items to measure individual drivers for self-tracking.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: healthcare information systems; health informatics; medical information systems; psychology; survey research; service science; service engineerin
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 14 Sep 2018 07:05
Last Modified: 14 Sep 2018 07:05
URI: https://eref.uni-bayreuth.de/id/eprint/45790