Evidence map›Paper›PMID 37361028›Full record

ArticleInternet interventions2023

Who are frequent chatters? Characterization of frequent users in a 24/7 messenger-based psychological chat counseling service for children and adolescents.

Zeki Efe, Sabrina Baldofski, Melanie Eckert, Lukas Guenthner, Shadi Saee, Julia Thomas, Richard Wundrack, Elisabeth Kohls, Christine Rummel-Kluge

Abstract read
In one paragraph

Article in Internet interventions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

9 authors.

Zeki EfeDepartment of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany.
Sabrina BaldofskiDepartment of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany.
Melanie Eckertkrisenchat gGmbH, Berlin, Germany.
Lukas GuenthnerDepartment of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany.
Shadi Saeekrisenchat gGmbH, Berlin, Germany.
Julia Thomaskrisenchat gGmbH, Berlin, Germany.
Richard Wundrackkrisenchat gGmbH, Berlin, Germany.
Elisabeth KohlsDepartment of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany.
Christine Rummel-KlugeDepartment of Psychiatry and Psychotherapy, Medical Faculty, Leipzig University, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Online helplines have shown a high acceptance, feasibility, and usability, especially with young people. Helplines usually aim to provide one-time crisis intervention; however, there are users who frequently use such services, tying a disproportionately large proportion of service capacities. To date, there is no research on the characterization of frequent users of online helplines. Therefore, the aim of the present study is to characterize frequent chatters in a chat-based counseling context. Methods: This cross-sectional study retrospectively analyzed anonymous data of users who approached the German messenger-based psychological chat counseling service Results: In total, Conclusion: Frequent users are known from telephone helplines and are also represented in a chat-based context. Compared to the general user population, they are more likely to report serious mental health conditions and half of them currently receive professional help, suggesting a high need for social support. In light of the increasing development of chat-based helplines, there is a need for further research on frequent chatters to develop tailored counseling strategies for their needs and to analyze options for an optimized service provision. Study registration: DRKS00026671.

Indexed as

Chat counselingChildrene-Mental healthFrequent userOnline interventionYoung adults

Identifiers

PMID37361028
PMCPMC10285518

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LicenceCC BY-NC-ND
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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.