Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/39770
Title: On preventive blood pressure self-monitoring at home
Authors: Verdezoto, Nervo
Grönvall, Erik
First Published: 1-May-2016
Publisher: Springer Verlag
Citation: Cognition, Technology & Work, 2016, 18 (2), pp. 267-285
Abstract: Self-monitoring activities are increasingly becoming part of people’s everyday lives. Some of these measurements are taken voluntarily rather than being referred by a physician and conducted because of either a preventive health interest or to better understand the body and its functions (the so-called Quantified Self). In this article, we explore socio-technical complexities that may occur when introducing preventive health-measurement technologies into older adults’ daily routines and everyday lives. In particular, the original study investigated blood pressure (BP) measurement in non-clinical settings, to understand existing challenges, and uncover opportunities for self-monitoring technologies to support preventive healthcare activities among older adults. From our study, several important aspects emerged to consider when designing preventive self-monitoring technology, such as the complexity of guidelines for self-measuring, the importance of interpretation, understanding and health awareness, sharing self-monitoring information for prevention, various motivational factors, the role of the doctor in prevention, and the home as a distributed information space. An awareness of these aspects can help designers to develop better tools to support people’s preventive self-monitoring needs, compared to existing solutions. Supporting the active and informed individual can help improve people’s self-care, awareness, and implementation of preventive care. Based on our study, we also reflect on the findings to illustrate how these aspects can both inform people engaged in Quantified Self activities and designers alike, and the tools and approaches that have sprung from the so-called Quantified Self movement.
DOI Link: 10.1007/s10111-015-0358-7
ISSN: 1435-5558
eISSN: 1435-5566
Links: https://link.springer.com/article/10.1007%2Fs10111-015-0358-7
http://hdl.handle.net/2381/39770
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2016, Springer Verlag. Deposited with reference to the publisher’s archiving policy available on the SHERPA/RoMEO website.
Appears in Collections:Published Articles, Dept. of Computer Science

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