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A Web-Based Audio Computer-Assisted Self-interview Application With Illustrated Pictures to Administer a Hepatitis B
Nang Nge Nge Phoo1, Alison Reid1, Roanna Lobo1
1School of Population Health, Curtin University, Perth, Australia.
JMIR Formative Research
|April 14, 2023
Summary
Illustrated Audio Computer-Assisted Self-Interview (ACASI) surveys improve accessibility for individuals with limited literacy and language barriers. This approach enhances data collection on sensitive topics for marginalized populations.
Area of Science:
- Health informatics
- Survey methodology
- Human-computer interaction
Background:
- Traditional surveys face accessibility challenges for individuals with limited literacy and language barriers.
- Face-to-face interviews can introduce privacy concerns and reporting biases, especially for sensitive topics.
- Audio Computer-Assisted Self-Interview (ACASI) offers an alternative but may not fully address literacy issues with response options.
Purpose of the Study:
- To develop and illustrate all questions and response options within an ACASI application.
- To compare ACASI with face-to-face interviews and paper surveys for collecting data on hepatitis B knowledge, attitudes, and practices.
- To describe the two-phase development process of a web-based ACASI application incorporating illustrated pictures.
Main Methods:
- Phase 1: Preparation and pretesting of ACASI components (questionnaire, pictures, audio, descriptions) with 20 participants.
- Phase 2: Synchronization of elements into a web-based application, focusing on autoplay audio and illustrated response options.
- User acceptance testing of the preprototype with 5 participants, leading to minor interface adjustments.
Main Results:
- A fully functional prototype ACASI application with illustrated pictures was developed over 12 months.
- The application supports electronic survey administration, secure data storage, and data export.
- The development process resulted in a user-friendly interface with minor adjustments based on testing.
Conclusions:
- Pretesting individual ACASI elements separately proved efficient, reducing later reprogramming needs.
- Future development should involve participatory design for pictures and user interfaces.
- Picture-assisted ACASI is a promising mode for collecting sensitive data from marginalized populations facing literacy and language barriers.
Keywords:
ACASIapplicationaudio computeraudio computer-assisted self-interviewdigital healthpicturesurvey mode
