Investigating text-messaging psychiatric disorders consultations on the telemedicine platform Haodaifu online in China: topic modelling and content analysis

Despite the high prevalence of mental disorders in China, consultation rates remain low. Public stigma leads many people to turn to computer-mediated consultation platforms. There is a pressing need to examine the topics of online psychiatric consultations to provide targeted education and interventions. This study analyzed online psychiatric consultations on Haodaifu Online (‘Good Doctor Online’) in China, focusing on psychiatrists’ speech during patient interactions. First, we extracted data from the platform and applied topic modeling to identify key topics and terms. We then analyzed these topics qualitatively using thematic synthesis. A total of 7,029 consultation cases met our inclusion criteria, and the psychiatrists’ speech from these cases was used for modeling. We identified nine topics, categorized into six themes: suggested timing and lifestyle changes; medication dose adjustments; causes of psychiatric disorders; initial inquiries about patients’ conditions; mental disorders in children and adolescents; and recommendations for face-to-face consultations. The themes reflect patients’ concerns during online psychiatric counseling. Psychiatrists treated online consultations as preliminary medical visits and still recommended in-person consultations for formal diagnosis and treatment.

Institutions

Publication Details

Journal
Critical Public Health
Published
2025-12-18
DOI
https://doi.org/10.1080/09581596.2025.2593998
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating text-messaging psychiatric disorders consultations on the telemedicine platform Haodaifu online in China: topic modelling and content analysis

Critical Public Health
Digital Mental Health Interventions
article

Investigating text-messaging psychiatric disorders consultations on the telemedicine platform Haodaifu online in China: topic modelling and content analysis

article en

Abstract

Despite the high prevalence of mental disorders in China, consultation rates remain low. Public stigma leads many people to turn to computer-mediated consultation platforms. There is a pressing need to examine the topics of online psychiatric consultations to provide targeted education and interventions. This study analyzed online psychiatric consultations on Haodaifu Online (‘Good Doctor Online’) in China, focusing on psychiatrists’ speech during patient interactions. First, we extracted data from the platform and applied topic modeling to identify key topics and terms. We then analyzed these topics qualitatively using thematic synthesis. A total of 7,029 consultation cases met our inclusion criteria, and the psychiatrists’ speech from these cases was used for modeling. We identified nine topics, categorized into six themes: suggested timing and lifestyle changes; medication dose adjustments; causes of psychiatric disorders; initial inquiries about patients’ conditions; mental disorders in children and adolescents; and recommendations for face-to-face consultations. The themes reflect patients’ concerns during online psychiatric counseling. Psychiatrists treated online consultations as preliminary medical visits and still recommended in-person consultations for formal diagnosis and treatment.

Critical Public HealthVol. 36(1)
The University of Sydney (AU), Jiaxing University (CN), Qilu Hospital of Shandong University (CN), Zhejiang Gongshang University (CN)
Quality Education
Openalex Percentile: Top 32%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.