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Comparing Single-Page, Multipage, and Conversational Digital Forms in Health Care: Usability Study
Aleeha Iftikhar1, Raymond R Bond1, Victoria McGilligan2
1Computing Engineering and Build Environment, Ulster University, Jordanstown, United Kingdom.
JMIR Human Factors
|May 26, 2021
Summary
The single-page digital form demonstrated superior usability and faster completion times compared to multipage and conversational digital forms, making it the preferred choice for patient data entry.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Medical Technology
Background:
- Hospitals continue to use paper-based forms for patient data, impacting data quality and analytics.
- Digital forms offer improved data quality, aiding audits, service improvements, and research.
- There's a need for empirical best practices in designing digital health forms.
Purpose of the Study:
- To assess the usability of three interactive digital forms: single-page, multipage, and conversational (chatbot).
- To identify the most effective digital form for replacing paper-based patient referral processes.
Main Methods:
- Developed three digital forms as alternatives to paper-based systems for interventional cardiology referrals.
- Conducted a counterbalanced usability test with 60 participants (20 per form type).
- Collected usability data including task completion times, System Usability Scale (SUS) scores, and user feedback.
Main Results:
- The single-page digital form achieved the highest usability scores (mean SUS 76), significantly outperforming multipage (mean SUS 67) and conversational forms (mean SUS 57).
- The single-page form also demonstrated the shortest task completion times.
- Users preferred the single-page form over the other two digital formats.
Conclusions:
- The single-page digital form is the most usable and efficient option among the tested formats.
- This form type offers significant advantages for patient data entry in healthcare settings.
- Findings support the adoption of single-page digital forms to enhance data quality and user experience.
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