Evidence map›Paper›PMID 37916211›Full record

ArticleClinical practice and epidemiology in mental health : CP & EMH2023

Delphi Survey of Items for the Test of Stuttering Screening in Children (TSSC).

Aiswarya Liz Varghese, Radish Kumar Balasubramanium, Gagan Bajaj, Sudhin Karuppali, Unnikrishnan Bhaskaran

Open access · diamondAbstract read
In one paragraph

Article in Clinical practice and epidemiology in mental health : CP & EMH, 2023. 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
0.3field-weighted citation impact, top 38% of its field
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 citations in OpenAlex.

  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

5 authors at 3 institutions in 1 country.

Aiswarya Liz VargheseDepartment of Audiology and Speech Language Pathology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Radish Kumar BalasubramaniumDepartment of Audiology and Speech Language Pathology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Gagan BajajDepartment of Audiology and Speech Language Pathology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Sudhin KaruppaliDepartment of Audiology and Speech Language Pathology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Unnikrishnan BhaskaranDepartment of Community Medicine, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Kasturba Medical College, Mangalore · INKasturba Medical College, Manipal · INManipal Academy of Higher Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Stuttering is a fluency disorder that mostly begins in childhood and affects many people in our societies. No standardized screening tools are available to check for stuttering in the Indian school-going population. Thus, the study aimed at developing a screening tool to identify children who stutter among the school-going population using a Delphi-based approach. Methods: This study was carried out in four phases. During the first phase, five Speech Language Pathologists (SLPs) were asked about the need for screening and the nature & attributes of a stuttering screening test for school-going children. The second phase involved constructing appropriate stimuli for the screening tool based on expert opinion, relevant literature and students' academic textbooks. The third phase involved content validation of the speech elicitation stimuli by four teachers, five SLPs and an English Lecturer teaching in a university. The fourth phase encompassed the development of differential diagnosis criteria for stuttering identification in children using a rank analysis of the expert opinions. Results: A stuttering screening stimuli comprising age, language and culture-specific reading, picture description and narration tasks for 1 Conclusion: The developed screening tool could help practicing clinicians quickly identify stuttering in school-going populations. This would enable early identification and build up the statistical data to estimate the prevalence of stuttering among the school-going population. Further studies examining the psychometric properties of the developed test are in progress.

Indexed as

Delphi surveySchool going childrenScreeningSLPsStutteringTest

Identifiers

PMID37916211
PMCPMC10487328
OpenAlexW4386562412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.