TY - JOUR
T1 - Web-based eHealth Clinical Decision Support System as a tool for the treat-to-target management of patients with systemic lupus erythematosus
T2 - Development and initial usability evaluation
AU - Parra Sanchez, Agner Russo
AU - Grimberg, Max G.
AU - Hanssen, Myrthe
AU - Aben, Moon
AU - Jairth, Elianne
AU - Dhoeme, Prishent
AU - Tsang-A-Sjoe, Michel W. P.
AU - Voskuyl, Alexandre
AU - Jansen, Hendrik Jan
AU - van Vollenhoven, Ronald
N1 - Funding Information: The work of ARPS is supported by the European Union’s Horizon 2020 research and innovation program (‘ARCAID’; www.arcaid-h2020.eu; grant agreement number 847551). This project was supported by a research grant from AstraZeneca. Publisher Copyright: © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
PY - 2023/9/26
Y1 - 2023/9/26
N2 - Background Treat-to-target (T2T) is a therapeutic strategy currently being studied for its application in systemic lupus erythematosus (SLE). Patients and rheumatologists have little support in making the best treatment decision in the context of a T2T strategy, thus, the use of information technology for systematically processing data and supporting information and knowledge may improve routine decision-making practices, helping to deliver value-based care. Objective To design and develop an online Clinical Decision Support Systems (CDSS) tool "SLE-T2T", and test its usability for the implementation of a T2T strategy in the management of patients with SLE. Methods A prototype of a CDSS was conceived as a web-based application with the task of generating appropriate treatment advice based on entered patients' data. Once developed, a System Usability Score (SUS) questionnaire was implemented to test whether the eHealth tool was user-friendly, comprehensible, easy-to-deliver and workflow-oriented. Data from the participants' comments were synthesised, and the elements in need for improvement were identified. Results The beta version web-based system was developed based on the interim usability and acceptance evaluation. 7 participants completed the SUS survey. The median SUS score of SLE-T2T was 79 (scale 0 to 100), categorising the application as 'good' and indicating the need for minor improvements to the design. Conclusions SLE-T2T is the first eHealth tool to be designed for the management of SLE patients in a T2T context. The SUS score and unstructured feedback showed high acceptance of this digital instrument for its future use in a clinical trial.
AB - Background Treat-to-target (T2T) is a therapeutic strategy currently being studied for its application in systemic lupus erythematosus (SLE). Patients and rheumatologists have little support in making the best treatment decision in the context of a T2T strategy, thus, the use of information technology for systematically processing data and supporting information and knowledge may improve routine decision-making practices, helping to deliver value-based care. Objective To design and develop an online Clinical Decision Support Systems (CDSS) tool "SLE-T2T", and test its usability for the implementation of a T2T strategy in the management of patients with SLE. Methods A prototype of a CDSS was conceived as a web-based application with the task of generating appropriate treatment advice based on entered patients' data. Once developed, a System Usability Score (SUS) questionnaire was implemented to test whether the eHealth tool was user-friendly, comprehensible, easy-to-deliver and workflow-oriented. Data from the participants' comments were synthesised, and the elements in need for improvement were identified. Results The beta version web-based system was developed based on the interim usability and acceptance evaluation. 7 participants completed the SUS survey. The median SUS score of SLE-T2T was 79 (scale 0 to 100), categorising the application as 'good' and indicating the need for minor improvements to the design. Conclusions SLE-T2T is the first eHealth tool to be designed for the management of SLE patients in a T2T context. The SUS score and unstructured feedback showed high acceptance of this digital instrument for its future use in a clinical trial.
KW - decision support systems, clinical
KW - disease management
KW - medical informatics
KW - outcome assessment, health care
UR - http://www.scopus.com/inward/record.url?scp=85173964191&partnerID=8YFLogxK
U2 - https://doi.org/10.1136/bmjhci-2023-100811
DO - https://doi.org/10.1136/bmjhci-2023-100811
M3 - Article
C2 - 37751942
SN - 2632-1009
VL - 30
JO - BMJ Health and Care Informatics
JF - BMJ Health and Care Informatics
IS - 1
M1 - e100811
ER -