Crowdsourcing treatments for low back pain

Hosio, Simo Johannes; ´Karppinen, Jaro; Takala, Esa-Pekka; Takatalo, Jani; Goncalves, Jorge; van Berkel, Niels; Konomi, Shin’ichi; Kostakos, Vassilis (2018-04-21)
 
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https://doi.org/10.1145/3173574.3173850

Hosio, Simo Johannes
´Karppinen, Jaro
Takala, Esa-Pekka
Takatalo, Jani
Goncalves, Jorge
van Berkel, Niels
Konomi, Shin’ichi
Kostakos, Vassilis
Association for Computing Machinery
21.04.2018

Simo Johannes Hosio, Jaro Karppinen, Esa-Pekka Takala, Jani Takatalo, Jorge Goncalves, Niels van Berkel, Shin’ichi Konomi, and Vassilis Kostakos. 2018. Crowdsourcing Treatments for Low Back Pain. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Paper 276, 12 pages. DOI: https://doi.org/10.1145/3173574.3173850

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© Copyright is held by the owner/author(s). Publication rights licensed to ACM. 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), https://doi.org/10.1145/3173574.3173850.
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doi:https://doi.org/10.1145/3173574.3173850
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https://urn.fi/URN:NBN:fi-fe201901232754
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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 non-professionals were clearly seen as inferior to the lowest ranking treatments by professionals. Certain treatments by professionals were also perceived significantly differently by non-professionals and professionals themselves. Professionals found our system handy for self-reflection and for educating new patients, while non-professionals appreciated the reliable decision support that also respected the non-professional opinion.

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