Evidence map›Paper›PMID 39176188›Full record

ArticleYonago acta medica2024

Exposure-Based Online Intervention and Behavioral Parent Training for a Child with Selective Mutism: A Case Report.

Tomohisa Yamanaka, Ryuki Kadekaru, Masahiko Inoue

Abstract readCase Reports
In one paragraph

Article in Yonago acta medica, 2024. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Tomohisa YamanakaDepartment of Clinical Psychology, Graduate School of Medical Sciences, Tottori University, Yonago 683-0853, Japan.
Ryuki KadekaruDepartment of Clinical Psychology, Graduate School of Medical Sciences, Tottori University, Yonago 683-0853, Japan.
Masahiko InoueDepartment of Clinical Psychology, Graduate School of Medical Sciences, Tottori University, Yonago 683-0853, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although exposure-based practices are effective in treating selective mutism, difficulties arise when the child refuses to visit a clinical center. In this situation, it is important to intervene using remote technology and to support parents who have children with selective mutism. In this patient report, an exposure-based intervention using online technology was implemented for an 8-year-old girl with selective mutism. In addition, her mother was also experiencing increased parenting stress. Therefore, the mother received behavioral parent training specifically designed for parents of children with selective mutism. As a result, the child's nervousness decreased during the intervention, and the frequency of their speech, facial expression, and body motion improved. Initially, the child refused to visit our clinical center. However, they eventually agreed and managed to communicate non-verbally with the primary author in our clinical center. Behavioral parent training for selective mutism improved her mother's understanding of the condition, the way she interacts with her child, and reduced her parenting stress. Implementing Internet-based interventions is highly beneficial because it significantly reduces the fear of clinic or hospital visits among children with selective mutism. Furthermore, behavioral parent training tailored to selective mutism to improve parental stress and interaction can be a valuable support option for parents of children with selective mutism.

Indexed as

autismexposureonline interventionparent trainingselective mutism

Identifiers

PMID39176188
PMCPMC11335922

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.