Evidence map›Paper›PMID 40403407›Full record

ArticleAmerican journal of speech-language pathology2025

Refined Operational Definitions for the Apraxia of Speech Rating Scale.

Marja-Liisa Mailend, Adam Jacks, Katarina L Haley

Abstract read
In one paragraph

Article in American journal of speech-language pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marja-Liisa MailendJefferson Moss Rehabilitation Research Institute, Thomas Jefferson University, Philadelphia, PA.ORCID 0000-0001-5169-3810
Adam JacksDivision of Speech and Hearing Sciences, Department of Health Sciences, The University of North Carolina at Chapel Hill.ORCID 0000-0001-6358-2878
Katarina L HaleyDivision of Speech and Hearing Sciences, Department of Health Sciences, The University of North Carolina at Chapel Hill.ORCID 0000-0002-1158-2160

Funding

Postdoctoral Training in Translational Neurorehabilitation ResearchT32HD071844 · NICHD · ALBERT EINSTEIN HEALTHCARE NETWORK · PI WHYTE, JOHN · 2013 to 2022
$2.2M
Efficacy and Optimization of Speech Entrainment Practice for People with AphasiaR21DC018893 · NIDCD · ALBERT EINSTEIN HEALTHCARE NETWORK · PI MAILEND, MARJA-LIISA · 2021 to 2023
$489k
NICHD NIH HHS T32 HD071844NIDCD NIH HHS R21 DC018893
6 · The paper itself

Abstract

purposeThe Apraxia of Speech Rating Scale (ASRS; Strand et al., 2014) has quickly emerged as a standard for apraxia of speech (AOS) diagnosis in stroke despite mixed evidence. The purpose of this study was to analyze, clarify, and revise the scoring procedures and item definitions of the ASRS as a preliminary step for investigating the scale's psychometric properties in stroke.

methodWe evaluated the interpretation of the ASRS items and scale procedures by independently rating the video and audio examples provided with the latest dissemination of the ASRS. Discrepancies in ratings were discussed after each rating.

resultsUpon discussing the rating discrepancies, our team identified barriers to using the scale, including lack of clear operational definitions for the scale items, difficulties with applying the multidimensional rating scale, mismatch between the scale description and item description, and lack of detailed procedures for applying the scale. Based on this analysis, we developed a series of rules for scoring the ASRS in our own research applications with stroke survivors. We also clarified scale labels and operationalized definitions for most of the scale items.

conclusionsSeveral potential concerns for reliable use of the ASRS were identified and addressed by clarifying the scale procedures and item definitions. We plan to use the updated procedures and definitions in research applications and are sharing them here for further input and potential applications from the research community. Research is needed to evaluate the impact of the changes on diagnostic classification and severity estimation for AOS.

Indexed as

ApraxiasSpeech DisordersStrokeHumansPsychometricsReproducibility of ResultsSeverity of Illness Index

Identifiers

PMID40403407
PMCPMC12334293

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.