Supporting Appropriation of Self- Monitoring Tools in Clinical Settings: The Case of Pain in Cancer Rehabilitation
Loading...
Fulltext URI
Document type
Text/Conference Poster
Additional Information
Date
Journal Title
Journal ISSN
Volume Title
Publisher
European Society for Socially Embedded Technologies (EUSSET)
Abstract
Self-monitoring tools, which support clinicians’ work through collection of patient generated data, have been used increasingly in chronic care. Their appropriation by the patients is crucial but at the same time can be problematic, as unexpected use of tools used as a support for clinical decisions might lead to wrong decisions. In this poster, we present preliminary findings from an ethnographic study from a pelvic cancer rehabilitation clinic. We present an empirical example of a patient who appropriated a self-monitoring application to register her pain in an unexpected way. Our findings aim to understand better how to support appropriation of self-monitoring tool in a clinical setting.
Description
Keywords
Citation
URI
URI
Collections
Endorsement
Review
Supplemented By
Referenced By
Number of citations to item: 2
- Katerina Cerna, Claudia MĂĽller, Martin Hunker, Florian Hitpass, David Randall (2023): Designing for Self-directed Learning: Co-creating a Demokit with Older Adults, In: Lecture Notes in Computer Science, doi:10.1007/978-3-031-34866-2_1
- Katerina Cerna, Miria Grisot, Anna Sigridur Islind, Tomas Lindroth, Johan Lundin, Gunnar Steineck (2020): Changing Categorical Work in Healthcare: the Use of Patient-Generated Health Data in Cancer Rehabilitation, In: Computer Supported Cooperative Work (CSCW) 5(29), doi:10.1007/s10606-020-09383-z