Quality Measurement of Consumer Health Questions: Content and Language Perspectives.
| Autor: | Alasmari A; Computer Science Department, King Khalid University, Abha, Saudi Arabia.; Center for Artificial Intelligence, King Khalid University, Abha, Saudi Arabia., Zhou L; Department of Business Information Systems and Operations Management, The University of North Carolina at Charlotte, Charlotte, NC, United States. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of medical Internet research [J Med Internet Res] 2024 Sep 12; Vol. 26, pp. e48257. Date of Electronic Publication: 2024 Sep 12. |
| DOI: | 10.2196/48257 |
| Abstrakt: | Background: Health information consumers increasingly rely on question-and-answer (Q&A) communities to address their health concerns. However, the quality of questions posted significantly impacts the likelihood and relevance of received answers. Objective: This study aims to improve our understanding of the quality of health questions within web-based Q&A communities. Methods: We develop a novel framework for defining and measuring question quality within web-based health communities, incorporating content- and language-based variables. This framework leverages k-means clustering and establishes automated metrics to assess overall question quality. To validate our framework, we analyze questions related to kidney disease from expert-curated and community-based Q&A platforms. Expert evaluations confirm the validity of our quality construct, while regression analysis helps identify key variables. Results: High-quality questions were more likely to include demographic and medical information than lower-quality questions (P<.001). In contrast, asking questions at the various stages of disease development was less likely to reflect high-quality questions (P<.001). Low-quality questions were generally shorter with lengthier sentences than high-quality questions (P<.01). Conclusions: Our findings empower consumers to formulate more effective health information questions, ultimately leading to better engagement and more valuable insights within web-based Q&A communities. Furthermore, our findings provide valuable insights for platform developers and moderators seeking to enhance the quality of user interactions and foster a more trustworthy and informative environment for health information exchange. (©Ashwag Alasmari, Lina Zhou. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 12.09.2024.) |
| Databáze: | MEDLINE |
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