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

Title data

Gimpel, Henner ; Niben, Marcia ; Görlitz, Roland A.:
Quantifying the Quantified Self : A Study on the Motivation of Patients to Track Their Own Health.
In: Reshaping society through information systems design : 34th International Conference on Information Systems, ICIS 2013 ; Milan, Italy, 15 - 18 December 2013. Volume 4. - Red Hook, NY : Curran , 2014 . - pp. 3286-3301
ISBN 978-1-62993-426-6

Official URL:

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:	Article in a book
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:	12 Apr 2022 08:15
URI:	https://eref.uni-bayreuth.de/id/eprint/45790