Evidence map›Paper›PMID 41783472›Full record

ArticleClinical psychology in Europe2026

Insufficient Quality of Mental Health Information on German-Speaking TikTok: A Content Analysis.

Aaron L Mross, Hidehiko Takahashi, Katja Koelkebeck, Benedikt P Langenbach

Abstract read
In one paragraph

Article in Clinical psychology in Europe, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Aaron L MrossLVR-University-Hospital Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0009-0001-3104-5004
Hidehiko TakahashiDepartment of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5102-1982
Katja Koelkebeck *LVR-University-Hospital Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0002-0469-3997
Benedikt P Langenbach *LVR-University-Hospital Essen, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Essen, Germany.ORCID https://orcid.org/0000-0003-4873-1569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increasing popularity of mental-health information on social media platforms such as TikTok is raising concerns regarding misinformation. Previous research is limited to single disorders and videos in the English language only. Our objective was to investigate the quality of mental health information on German-language TikTok for a broader spectrum of disorders. Method: Thirty German-language TikTok-videos of each of the six most viewed hashtags on mental disorders (attention-deficit and hyperactivity disorder (ADHD), depression, autism, anxiety disorder, narcissism and post-traumatic stress disorder (PTSD)) were classified regarding authorship and rated either as "correct", "overgeneralized", "incorrect" or "subjective experience". The modified DISCERN (mDISCERN) and the Global Quality Scale (GQS) were used to rate reliability and quality of information for patients. Results: The 177 videos finally included in this study gathered a total of 94,348,220 views and 19.2% ( Conclusion: With around half of the analyzed videos supplying incorrect information, the quality of German-language TikTok mental health content is insufficient. Differences in the quality of content seem to be influenced by the topic and the authorship. Healthcare institutions and clinicians should be aware of this, educate patients accordingly, and could improve the quality of information by participating in online discourses.

Indexed as

ADHDanxietyASDdepressionmisinformationnarcissismPTSDTikTok

Identifiers

PMID41783472
PMCPMC12955308

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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.