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Towards Usable E-Health. A Systematic Review of Usability Questionnaires
Vanessa E C Sousa1, Karen Dunn Lopez
1Vanessa E. C. Sousa, PhD, MSN, University of Illinois at Chicago, College of Nursing, Department of Health Systems Science, 845 South Damen St., Chicago, IL 60612, Email: vanessaemille@gmail.com, Phone: 773-814-0517.
This study reviewed questionnaires for measuring e-health usability. While existing tools cover learnability, efficiency, and satisfaction, further research is needed to improve memorability and psychometric properties for better e-health adoption.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Usability Engineering
Background:
- E-health tools offer significant healthcare benefits, but their effectiveness is contingent on user-friendliness.
- Assessing e-health usability requires rigorously developed and appropriate measurement tools.
Purpose of the Study:
- To systematically identify and evaluate psychometrically sound questionnaires for measuring e-health tool usability.
- To appraise the generalizability, attribute coverage, and overall quality of these usability measurement instruments.
Main Methods:
- A systematic literature review was conducted across four major databases (Scopus, PubMed, CINAHL, HAPI).
- Studies were included if they measured e-health usability using validated questionnaires, excluding non-primary research and specific populations.
- Data extraction focused on questionnaire characteristics, psychometrics, and quality appraisal.
Main Results:
- Out of 35 included articles, 15 unique questionnaires were identified, with only 5 deemed broadly applicable.
- Key usability attributes assessed were learnability, efficiency, and satisfaction; memorability was least covered.
- Quality appraisal revealed common limitations including insufficient validity testing, small sample sizes, and lack of reporting on user-centeredness and feasibility.
Conclusions:
- Current questionnaires offer a basis for e-health usability research.
- Future development should aim to enhance the coverage of usability attributes and strengthen the psychometric properties of existing instruments.
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