Design of a web-based clinical decision support system for guiding patients with low back pain to the best next step in primary healthcare

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    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 languageUndefined
    Title of host publicationProceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016)
    Place of PublicationPortugal
    PublisherSCITEPRESS - Science and Technology Publications
    Pages229-239
    Number of pages11
    ISBN (Print)978-989-758-170-0
    DOIs
    Publication statusPublished - 21 Feb 2016
    Event9th International Joint Conference on Biomedical Engineering Systems and Technologies 2016 - Rome, Italy
    Duration: 21 Feb 201623 Feb 2016
    Conference number: 9

    Publication series

    Name
    PublisherSCITEPRESS – Science and Technology Publications
    VolumeVolume 5:

    Conference

    Conference9th International Joint Conference on Biomedical Engineering Systems and Technologies 2016
    Abbreviated titleBIOSTEC 2016
    CountryItaly
    CityRome
    Period21/02/1623/02/16

    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

    Cite this

    Oude Nijeweme-d'Hollosy, W., van Velsen, L. S., Soer, R., & Hermens, H. J. (2016). Design of a web-based clinical decision support system for guiding patients with low back pain to the best next step in primary healthcare. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) (pp. 229-239). Portugal: SCITEPRESS - Science and Technology Publications. https://doi.org/10.13140/RG.2.1.3527.8480