Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings 2016 IEEE International Conference on Healthcare Informatics |
| Place of Publication | Chicago |
| Publisher | IEEE Computer Society |
| Pages | 495-503 |
| Number of pages | 9 |
| ISBN (Print) | 978-1-5090-6117-4 |
| DOIs | |
| Publication status | Published - Dec 2016 |
| Event | 2016 IEEE International Conference on Healthcare Informatics - Chicago, United States Duration: 4 Oct 2016 → 7 Oct 2016 |
Publication series
| Name | |
|---|---|
| Publisher | IEEE Computer Society |
Conference
| Conference | 2016 IEEE International Conference on Healthcare Informatics |
|---|---|
| Abbreviated title | ICHI 2016 |
| Country | United States |
| City | Chicago |
| Period | 4/10/16 → 7/10/16 |
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)
Cite this
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Should I see a healthcare professional or can I perform self-care: self-referral decision support for patients with low back pain. / Oude Nijeweme-d'Hollosy, Wendeline; van Velsen, Lex Stefan; Groothuis-Oudshoorn, Catharina Gerarda Maria; Soer, Remko; Hermens, Hermanus J.
Proceedings 2016 IEEE International Conference on Healthcare Informatics. Chicago : IEEE Computer Society, 2016. p. 495-503.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Should I see a healthcare professional or can I perform self-care: self-referral decision support for patients with low back pain
AU - Oude Nijeweme-d'Hollosy, Wendeline
AU - van Velsen, Lex Stefan
AU - Groothuis-Oudshoorn, Catharina Gerarda Maria
AU - Soer, Remko
AU - Hermens, Hermanus J.
N1 - eemcs-eprint-27497
PY - 2016/12
Y1 - 2016/12
N2 - 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.
AB - 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.
KW - EWI-27497
KW - BSS-Technology supported cognitive training
KW - Vignette study
KW - Primary healthcare
KW - IR-102636
KW - Decision Tree
KW - Multinomial regression analysis
KW - Low Back Pain
KW - METIS-319504
KW - Clinical Decision Support System (CDSS)
U2 - 10.1109/ICHI.2016.90
DO - 10.1109/ICHI.2016.90
M3 - Conference contribution
SN - 978-1-5090-6117-4
SP - 495
EP - 503
BT - Proceedings 2016 IEEE International Conference on Healthcare Informatics
PB - IEEE Computer Society
CY - Chicago
ER -