Agner Russo Parra Sanchez, Max G Grimberg, Myrthe Hanssen, Moon Aben, Elianne Jairth, Prishent Dhoeme, Michel W P Tsang-A-Sjoe, Alexandre Voskuyl, Hendrik Jan Jansen, Ronald van Vollenhoven
{"title":"基于网络的电子健康临床决策支持系统作为系统性红斑狼疮患者治疗目标管理的工具:开发和初步可用性评估。","authors":"Agner Russo Parra Sanchez, Max G Grimberg, Myrthe Hanssen, Moon Aben, Elianne Jairth, Prishent Dhoeme, Michel W P Tsang-A-Sjoe, Alexandre Voskuyl, Hendrik Jan Jansen, Ronald van Vollenhoven","doi":"10.1136/bmjhci-2023-100811","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":9050,"journal":{"name":"BMJ Health & Care Informatics","volume":null,"pages":null},"PeriodicalIF":4.1000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ba/70/bmjhci-2023-100811.PMC10533702.pdf","citationCount":"0","resultStr":"{\"title\":\"Web-based eHealth Clinical Decision Support System as a tool for the treat-to-target management of patients with systemic lupus erythematosus: <i>development and initial usability evaluation</i>.\",\"authors\":\"Agner Russo Parra Sanchez, Max G Grimberg, Myrthe Hanssen, Moon Aben, Elianne Jairth, Prishent Dhoeme, Michel W P Tsang-A-Sjoe, Alexandre Voskuyl, Hendrik Jan Jansen, Ronald van Vollenhoven\",\"doi\":\"10.1136/bmjhci-2023-100811\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>SLE-T2T is the first eHealth tool to be designed for the management of SLE patients in a T2T context. 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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.
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.