BMJ Health & Care Informatics (Jun 2023)

Web-based eHealth Clinical Decision Support System as a tool for the treat-to-target management of patients with systemic lupus erythematosus: development and initial usability evaluation

  • Ronald van Vollenhoven,
  • Alexandre Voskuyl,
  • Agner Russo Parra Sanchez,
  • Max G Grimberg,
  • Myrthe Hanssen,
  • Moon Aben,
  • Elianne Jairth,
  • Prishent Dhoeme,
  • Hendrik Jan Jansen

DOI
https://doi.org/10.1136/bmjhci-2023-100811
Journal volume & issue
Vol. 30, no. 1

Abstract

Read online

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.