Table 1 Usability parameters suggested by various researchers for healthcare websites.
From: Automated framework for comprehensive usability analysis of healthcare websites using web parsing
Author name | Parameters name | Technique used | Method involved |
|---|---|---|---|
Brown III et al.27 | Error prevention, flexibility, learnability, competency, speed, memorability | Health IT usability evaluation model | Automation |
Martínez-Pérez et al.28 | Ease of use, availability, performance,learning, Appearance | Survey | User judgement |
Reynoldson et al.29 | Ease of use, interface design, product dscription | Survey using quality assessment criteria | User judgement |
Scott et al.30 | Security risks and safety measures | Survey | User judgement |
Chen et al.37 | Accountability, content accuracy, scientific coverage | Quality assessment criteria | User judgement |
Huckvale et al.31 | Privacy policy, contact details, attribution,editorial/advertisement policy | Systematic assessment using criteria derived from international guidelines | User judgement |
Anderson et al.32 | Engagement, functionality, ease of use, information management | Protocols and checklist | User judgement |
Iribarren et al.33 | Inform, record, display, guide, communicate | Sampling and data collection | User judgement |
Stoyanov et al.34 | Engagement, functionality, aesthetics, subjective quality | Sampling and data collection | User judgement |
Powell et al.35 | Password protection, encryption, feedback | Review method | User judgement |
Huang et al.36 | Content, design, organization, user -friendliness | Survey | User judgement |
Slattery et al.38 | Web-based media | Face to face interviews | User judgement |
O’Keeffe et al.39 | Findability, search, navigation | Usability testing | Combined |
Zubiena et al.40 | Readability, accessibility, content | Pilot testing | Automation |
Munim et al.41 | Ease of use, efficiency | Laboratory based usability testing | Automation |
