Evidence map›Paper›PMID 38118455›Full record

ArticleAmerican journal of speech-language pathology2024

Phonemic Feature Scoring as a Tool for Progress Monitoring During Language Interventions for Children With Autism and Minimal Verbal Skills.

Adrienne R Pitt, Lindsay W Osabuohien, Nancy C Brady

Abstract read
In one paragraph

Article in American journal of speech-language pathology, 2024. 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

3 authors.

Adrienne R PittDepartment of Special Education and Communication Disorders, University of Nebraska-Lincoln.ORCID 0000-0002-1493-4862
Lindsay W OsabuohienChild Language Doctoral Program, The University of Kansas, Lawrence.
Nancy C BradyDepartment of Speech-Language-Hearing: Sciences & Disorders, The University of Kansas, Lawrence.ORCID 0000-0001-7573-9000

Funding

Using PCORnet to Expand the DS-CONNECT Cohort Through Healthcare System Recruitment, Incorporating Electronic Health Records, and Assessing Self-DeterminationU54HD090216 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI COLOMBO, JOHN A. · 2016 to 2020
$6.2M
TRAINING RESEARCHERS IN LANGUAGE IMPAIRMENTST32DC000052 · NIDCD · UNIVERSITY OF KANSAS LAWRENCE · PI RICE, MABEL L · 1995 to 2022
$2.7M
Discovering novel predictors of minimally verbal outcomes in autism through computational modelingR01DC020048 · NIDCD · GEORGIA INSTITUTE OF TECHNOLOGY · PI NANCY CAROLINE BRADY, Agata Rozga · 2022 to 2026
$2.6M
NICHD NIH HHS U54 HD090216NIDCD NIH HHS T32 DC000052
6 · The paper itself

Abstract

purposeAn increasing number of studies focus on verbal treatments for children with autism and minimal verbal skills. However, clinical tools for progress monitoring during interventions are lacking. The aim of this clinical focus article is to provide illustrations on the utility of a phonemic feature scoring system as a progress-monitoring tool, focusing on benefits and limitations as well as indications for use.

methodCurrent practices for progress monitoring during language interventions with children with autism and minimal verbal skills are reviewed. A phonemic feature scoring tool is provided to aid clinicians in assessing the accuracy and consistency of expressive word productions. The authors illustrate the use of phonemic feature scoring as a progress-monitoring tool for two children with autism and minimal verbal skills, contrasting the phonemic feature scoring system to correct/incorrect, phoneme-level, and whole-word scoring.

resultsCase 1 demonstrates a scenario where the child's speech intelligibility is low and clinical use of the phonemic feature scoring system captures discrete changes in speech production progress not represented by correct/incorrect, phoneme-level, and whole-word scoring. However, Case 2 represents a situation where once a child's speech intelligibility improves, the phonemic feature scoring system is no longer needed, and correct/incorrect scoring may be sufficient.

conclusionThe phonemic feature scoring system allows clinicians to track phonemic feature changes in word productions and provides detailed progress monitoring information, leading to adaptations of the intervention for each individual.

Indexed as

Autistic DisorderChildHumansLanguageSpeech Intelligibility

Identifiers

PMID38118455
PMCPMC11001186

What OpenQuestion holds

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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.