Evidence map›Paper›PMID 40642412›Full record

ArticleFrontiers in psychiatry2025

Analysis of psychiatrists' internet service patterns: a cross-sectional study from China's largest online mental health platform.

Tiannan Xu, Ruimei Ni, Hongye Wu, Feng Xu, Suqi Song, Xiaoping Yuan, Kai Zhang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tiannan Xu *Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Ruimei Ni *Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Hongye Wu *Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Feng XuHaoxinqing Health Industry Group Co., Ltd., Beijing, China.
Suqi SongDepartment of Psychiatry, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaoping YuanDepartment of Psychiatry, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.
Kai ZhangDepartment of Psychiatry, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Haoxinqing, China's largest online mental health platform, facilitates digital psychological care delivery. This study aims to describe the demographics and medical service data of doctors on the Haoxinqing platform and investigate their associations. Method: The study analyzed the demographic information and medical service data of 11,333 registered physician users on the Haoxinqing platform over a 5-year period. Result: Among registered physicians, 87.0% were from secondary or tertiary hospitals and were concentrated in eastern provinces (e.g., Guangdong: 918). Female physicians had a lower proportion in senior titles (chief physicians: 19.0% vs. 20.0% for males), although the chi-square analysis indicated a weak association between gender and professional title (Cramer's Conclusion: Based on cross-sectional data from China's largest online mental health platform, this study revealed that online services, while supplementing offline medical care, are still influenced by traditional medical hierarchy. Patients' trust in senior physicians and gendered communication norms are critical determinants affecting resource allocation patterns on digital platforms.

Indexed as

digital healtheHealthinternet hospitalmHealthonline mental health care services

Identifiers

PMID40642412
PMCPMC12241070

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.