Conference Proceedings
Crowdsourcing treatments for low back pain
SJ Hosio, J Karppinen, EP Takala, J Takatalo, J Goncalves, N Van Berkel, S Konomi, V Kostakos
Conference on Human Factors in Computing Systems Proceedings | ASSOC COMPUTING MACHINERY | Published : 2018
Abstract
Low back pain (LBP) is a globally common condition with no silver bullet solutions. Further, the lack of therapeutic consensus causes challenges in choosing suitable solutions to try. In this work, we crowdsourced knowledge bases on LBP treatments. The knowledge bases were used to rank and offer best-matching LBP treatments to end users. We collected two knowledge bases: one from clinical professionals and one from non-professionals. Our quantitative analysis revealed that non-professional end users perceived the best treatments by both groups as equally good. However, the worst treatments by nonprofessionals were clearly seen as inferior to the lowest ranking treatments by professionals. Ce..
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Awarded by Horizon 2020 Framework Programme
Funding Acknowledgements
This work is partially funded by the Academy of Finland (Grants 276786-AWARE, 286386-CPDSS, 285459-iSCIENCE, 304925-CARE), the European Commission (Grant 6AIKA-A71143-AKAI), and Marie Sklodowska-Curie Actions (645706-GRAGE). We also acknowledge all the participants who were kind enough to share their stories and pains with us.