@inproceedings{16bedf8f73914defa1b766992d5a35bc,
title = "Should I see a healthcare professional or can I perform self-care: self-referral decision support for patients with low back pain",
abstract = "When people get low back pain (LBP), it is not always evident when to see a general practitioner (GP) or physiotherapist, or to perform self-care. A direct correct referral is essential for effective treatment to prevent the development of chronic LBP the utmost. In the context of designing a tool that is able to provide a referral advice to a patient, 63 healthcare professionals (GPs and physiotherapists) participated in a vignette study. They had to judge 32 LBP cases on 1. see a general practitioner, 2. see a physiotherapist, and 3. perform self-care. In total, 1288 vignettes were judged. Multinomial regression analysis showed that Weight Loss, Trauma, and Nocturnal Pain are the three most significant predictive variables. A decision tree was generated that showed the same conclusion. This decision tree is the basis to build a tool that provides personalized referral advice to patients with LBP from the very beginning.",
keywords = "EWI-27497, BSS-Technology supported cognitive training, Vignette study, Primary healthcare, IR-102636, Decision Tree, Multinomial regression analysis, Low Back Pain, METIS-319504, Clinical Decision Support System (CDSS)",
author = "{Oude Nijeweme-d'Hollosy}, Wendeline and {van Velsen}, {Lex Stefan} and Groothuis-Oudshoorn, {Catharina Gerarda Maria} and Remko Soer and Hermens, {Hermanus J.}",
note = "eemcs-eprint-27497",
year = "2016",
month = "12",
doi = "10.1109/ICHI.2016.90",
language = "Undefined",
isbn = "978-1-5090-6117-4",
publisher = "IEEE Computer Society",
pages = "495--503",
booktitle = "Proceedings 2016 IEEE International Conference on Healthcare Informatics",
address = "United States",
}