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Quality Measurement of Consumer Health Questions: Content and Language Perspectives
Ashwag Alasmari1,2, Lina Zhou3
1Computer Science Department, King Khalid University, Abha, Saudi Arabia.
Journal of Medical Internet Research
|September 12, 2024
Summary
High-quality health questions in online communities are more detailed and specific. Improving question quality leads to better health information exchange and more trustworthy online environments.
Area of Science:
- Health Informatics
- Information Science
- Consumer Health Informatics
Background:
- Online question-and-answer (Q&A) communities are vital for health information seeking.
- The quality of user-generated health questions directly influences answer relevance and utility.
Purpose of the Study:
- To develop and validate a framework for assessing health question quality in web-based Q&A communities.
- To identify key characteristics differentiating high-quality from low-quality health questions.
Main Methods:
- A novel framework integrating content and linguistic variables was developed.
- K-means clustering and automated metrics were employed for quality assessment.
- Validation involved expert review and regression analysis on kidney disease-related questions.
Main Results:
- High-quality questions frequently included demographic and medical details (P<.001).
- Questions about various disease stages were less indicative of high quality (P<.001).
- Low-quality questions tended to be shorter with longer sentences (P<.01).
Conclusions:
- Empowering consumers to ask better questions enhances engagement and insight generation in health Q&A platforms.
- Findings offer guidance for platform developers to improve user interactions and foster trustworthy health information exchange.
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