Evidence map›Paper›PMID 34554878›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2021

Spoken Discourse Assessment and Analysis in Aphasia: An International Survey of Current Practices.

Brielle C Stark, Manaswita Dutta, Laura L Murray, Davida Fromm, Lucy Bryant, Tyson G Harmon, Amy E Ramage, Angela C Roberts

Open access · greenAbstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 56 citations in OpenAlex.

  1. Trial
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  3. Moderate-severe traumatic brain injury disrupts core mechanisms of online language processing and use.Cortex; a journal devoted to the study of the nervous system and behavior · 2026
    Article
  4. Article
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  6. Translanguaging in conversations for people with aphasia living in Greater Johannesburg, South Africa.The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings · 2025
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  14. Validation of an Automated Procedure for Calculating Core Lexicon From Transcripts.Journal of speech, language, and hearing research : JSLHR · 2022
    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

8 authors at 5 institutions in 3 countries.

Brielle C StarkDepartment of Speech, Language and Hearing Sciences and Program in Neuroscience, Cognitive Science Program, Indiana University, Bloomington, IN.ORCID 0000-0002-7001-8324
Manaswita DuttaDepartment of Communication Disorders and Sciences, Rush University, Chicago, IL.ORCID 0000-0001-8371-2246
Laura L MurraySchool of Communication Sciences and Disorders, Western University, London, CA.
Davida FrommDepartment of Psychology, Carnegie Mellon University, Pittsburgh, PA.ORCID 0000-0002-4704-7709
Lucy BryantGraduate School of Health, University of Technology Sydney, New South Wales, Australia.
Tyson G HarmonDepartment of Communication Disorders, Brigham Young University, Provo, UT.ORCID 0000-0003-1936-8668
Amy E RamageDepartment of Communication Sciences and Disorders, University of New Hampshire, Durham.ORCID 0000-0001-8554-555X
Angela C RobertsRoxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL.
Google (United States) · USBrigham Young University · USNorthwestern University · USUniversity of Technology Sydney · AUWestern University · CA

Funding

Phase 2 Development of a Spoken Language Biomarker of Cognitive Impairment in Parkinson's DiseaseR21DC017255 · NIDCD · NORTHWESTERN UNIVERSITY · PI ROBERTS, ANGELA CHRISTINE · 2019 to 2021
$489k
NIDCD NIH HHS R21 DC017255
6 · The paper itself

Abstract

Purpose Spoken discourse analysis is commonly employed in the assessment and treatment of people living with aphasia, yet there is no standardization in assessment, analysis, or reporting procedures, thereby precluding comparison/meta-analyses of data and hindering replication of findings. An important first step is to identify current practices in collecting and analyzing spoken discourse in aphasia. Thus, this study surveyed current practices, with the goal of working toward standardizing spoken discourse assessment first in research settings with subsequent implementation into clinical settings. Method A mixed-methods (quantitative and qualitative) survey was publicized to researchers and clinicians around the globe who have collected and/or analyzed spoken discourse data in aphasia. The survey data were collected between September and November 2019. Results Of the 201 individuals who consented to participate, 189 completed all mandatory questions in the survey (with fewer completing nonmandatory response questions). The majority of respondents reported barriers to utilizing discourse including transcription, coding, and analysis. The most common barrier was time (e.g., lack of time). Respondents also indicated that there was a lack of, and a need for, psychometric properties and normative data for spoken discourse use in the assessment and treatment of persons with aphasia. Quantitative and qualitative results are described in detail. Conclusions The current survey study evaluated spoken discourse methods in aphasia across research and clinical settings. Findings from this study will be used to guide development of process standardization in spoken discourse and for the creation of a psychometric and normative property database. Supplemental Material https://doi.org/10.23641/asha.166395100.

Indexed as

AphasiaHumansPsychometricsSurveys and Questionnaires

Identifiers

PMID34554878
PMCPMC9132151
OpenAlexW3162072502

What OpenQuestion holds

Textmetadata
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.