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WeChat Group Pediatric Consultations Interaction Patterns and Their Implications: A Corpus-Driven Analysis (Preprint)

Authors: Jijia Kuang;

WeChat Group Pediatric Consultations Interaction Patterns and Their Implications: A Corpus-Driven Analysis (Preprint)

Abstract

BACKGROUND WeChat groups, a core feature of WeChat, have evolved into a significant platform for online collective interaction, particularly in the medical field. Hospitals increasingly utilize WeChat groups for chronic disease management (e.g., diabetes, hypertension) and medical knowledge dissemination (e.g., pregnancy care, epidemiology). OBJECTIVE to explore the online dialogue underlying patterns in WeChat group pediatric consultations in China in reference and by contrast to ideal sequence structure often employed in offline medical conversations, (2) to identify characteristics and roles of WeChat Group Consultations. METHODS We conducted an exploratory study based on the corpus built from the doctor-consultant conversations from a WeChat group set up by a pediatric hospital in Chengdu with a combination of methods of frequency statistics by means of corpus-driven research and evidence-based analysis., institutional conversation analysis, and content analysis. RESULTS The findings indicate that there are mainly 4 sequences in WeChat Group Pediatric Consultations: problem initiation, data collection, diagnosis and treatment recommendation, conclusion. Unlike offline settings dominated by physicians, consultants are in a dominant position in initiating the conversation and determining the end of the conversation in WeChat Group Pediatric Consultations, which empowers them to articulate needs comprehensively while alleviating their anxiety through real-time medically professional guidance. CONCLUSIONS WeChat consultations serve as a supplementary "assistant" for urgent yet preliminary medical advice, bridging gaps until in-person hospital visits. However, reliance on temporary diagnoses underscores the need for balanced health literacy. These findings highlight the transformative potential of digital platforms in democratizing medical communication while emphasizing the irreplaceable role of offline diagnostics.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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