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Evaluating Simplified Web Interfaces of Risk Models for Clinical Use: Pilot Survey Study
Louis Beaubien1, Colin Conrad2, Janet Music2
1Rowe School of Business, Faculty of Management, Dalhousie University, Halifax, NS, Canada.
This pilot study found that a simplified WebModel effectively supports clinical decision-making by reducing information overload. Key factors like performance expectancy and habit influenced user adoption, highlighting the tool's potential for improving complex assessments.
Area of Science:
- Health Informatics
- Clinical Decision Support Systems
- Human-Computer Interaction
Background:
- Investigated sociotechnical factors influencing the adoption of a simplified web-based tool for clinical decision-making.
- Addressed information overload in complex clinical assessments.
Purpose of the Study:
- To pilot and test a web-based tool (WebModel) to support clinical decision-making.
- To investigate technology adoption factors using the Unified Theory of Acceptance and Use of Technology (UTAUT2) model.
Main Methods:
- Developed a responsive, mobile-friendly web interface (WebModel) simplifying regression equation use for chronic obstructive pulmonary disease outcomes.
- Administered an online questionnaire to 674 clinical users over one month to assess usability and usefulness.
- Utilized statistical analysis with SPSS and R to analyze collected data.
Main Results:
- The Unified Theory of Acceptance and Use of Technology (UTAUT2) model showed a good fit, with performance expectancy, effort expectancy, facilitating conditions, hedonic motivation, and habit significantly influencing intention to use.
- Social influence was not a significant factor, while price value had a significant negative impact on adoption.
- Five of seven factors from the UTAUT2 model were significant positive predictors of intention to use the WebModel.
Conclusions:
- The simplified WebModel concept shows promise for enhancing efficiency and reducing information overload in clinical decision-making.
- Factors related to interface efficiency significantly impacted user response; price value's negative influence may stem from purchasing decision separation.
- Further research in a clinical setting is recommended to evaluate workflow, patient safety, and qualitative user value.
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