Abstract
Low back pain (LBP) is the most common cause for activity limitation and has a tremendous socioeconomic impact in Western society. In primary care, LBP is commonly treated by general practitioners (GPs) and physiotherapists. In the Netherlands, patients can opt to see a physiotherapist without referral from their GP (so called ‘self-referral’). Although self-referral has improved the choice of care for patients, it also requires that a patient knows exactly how to select the best next step in care for his or her situation, which is not always evident. This paper describes the design of a web-based clinical decision support system (CDSS) that guides patients with LBP in making suitable choices on self-referral. We studied literature and guidelines on LBP and conducted semi-structured interviews with 3 general practitioners and 5 physiotherapists on the classification of LBP with respect to the best next step in care: visit a GP, visit a physiotherapist or perform self-care. The interview results were validated by means of an online survey, which resulted in a select group of key classification factors. Based on the results, we developed an ontology and a decision tree that models the decision making process of the CDSS.
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) |
| Place of Publication | Portugal |
| Publisher | SCITEPRESS |
| Pages | 229-239 |
| Number of pages | 11 |
| ISBN (Print) | 978-989-758-170-0 |
| DOIs | |
| Publication status | Published - 21 Feb 2016 |
| Event | 9th International Joint Conference on Biomedical Engineering Systems and Technologies 2016 - Rome, Italy Duration: 21 Feb 2016 → 23 Feb 2016 Conference number: 9 |
Publication series
| Name | |
|---|---|
| Publisher | SCITEPRESS – Science and Technology Publications |
| Volume | Volume 5: |
Conference
| Conference | 9th International Joint Conference on Biomedical Engineering Systems and Technologies 2016 |
|---|---|
| Abbreviated title | BIOSTEC 2016 |
| Country/Territory | Italy |
| City | Rome |
| Period | 21/02/16 → 23/02/16 |
Keywords
- EWI-26906
- Primary Care
- Low Back Pain (LBP)
- Self-referral
- Triage
- METIS-316866
- Decision Tree
- IR-100110
- Classification of Patients
- Clinical Decision Support Systems (CDSS)
- Ontology