TY - GEN
T1 - Crowdsourcing treatments for low back pain
AU - Hosio, Simo Johannes
AU - Karppinen, Jaro
AU - Takala, Esa Pekka
AU - Takatalo, Jani
AU - Goncalves, Jorge
AU - Van Berkel, Niels
AU - Konomi, Shin'ichi
AU - Kostakos, Vassilis
N1 - Publisher Copyright:
© 2018 Copyright is held by the owner/author(s).
PY - 2018/4/20
Y1 - 2018/4/20
N2 - 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. 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.
AB - 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. 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.
UR - http://www.scopus.com/inward/record.url?scp=85046955818&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046955818&partnerID=8YFLogxK
U2 - 10.1145/3173574.3173850
DO - 10.1145/3173574.3173850
M3 - Conference contribution
AN - SCOPUS:85046955818
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Y2 - 21 April 2018 through 26 April 2018
ER -