Evidence map›Paper›PMID 38597797›Full record

ArticleAmerican journal of speech-language pathology2024

Rehabilitation Treatment Specification System: Content and Criterion Validity Across Evidence-Based Voice Therapies for Muscle Tension Dysphonia.

Jarrad H Van Stan, Nelson Roy, Joseph Stemple, Jaqueline Gartner-Schmidt, Amanda I Gillespie, John Whyte, Joseph Duffy, Lyn Turkstra

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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.

Jarrad H Van StanMassachusetts General Hospital, Boston.ORCID 0000-0001-8932-3276
Nelson RoyThe University of Utah, Salt Lake City.ORCID 0000-0001-8017-805X
Joseph StempleUniversity of Kentucky, Lexington.
Jaqueline Gartner-SchmidtCarlow University, Pittsburgh, PA.
Amanda I GillespieEmory University School of Medicine, Atlanta, GA.ORCID 0000-0002-6247-5576
John WhyteMoss Rehabilitation Research Institute, Elkins Park, PA.
Joseph DuffyMayo Clinic, Rochester, MN.ORCID 0000-0001-8206-3432
Lyn TurkstraMcMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-6948-6921

Funding

RTSS-Voice: Towards a unified system to classify treatments for muscle tension dysphoniaR01DC020247 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI Jarrad Van Stan · 2022 to 2026
$2.5M
Measuring what happens in voice therapy: refinement and testing of a voice therapy taxonomyR21DC016124 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI VAN STAN, JARRAD · 2017 to 2021
$555k
NIDCD NIH HHS R01 DC020247NIDCD NIH HHS R21 DC016124
6 · The paper itself

Abstract

purposeSystematically improving voice therapy outcomes is challenging as the clinician actions (i.e., active ingredients) responsible for improved patient functioning (i.e., targets) are relatively unknown. The theory-driven Rehabilitation Treatment Specification System (RTSS) and standard, voice-specific terminology based on the RTSS (RTSS-Voice) may help address this problem. This qualitative study evaluated if the RTSS and RTSS-Voice can describe four evidence-based voice therapies for muscle tension dysphonia without missing critical aspects (content validity) and identify commonalities and differences across them (criterion validity).

methodQualitative interviews were completed between the clinicians (protocol experts) who developed and/or popularized the vocal function exercises, laryngeal reposturing, circumlaryngeal massage, and conversation training therapies as well as RTSS experts to produce RTSS specifications that met two consensus criteria: (a) The protocol expert agreed that the specification represented their treatment theory, and (b) the RTSS experts agreed that the specifications correctly adhered to both the RTSS framework and the RTSS-Voice's standard terminology.

resultsThe RTSS and RTSS-Voice comprehensively described voice therapy variations across and within the four diverse treatment programs, needing only the addition of one new target: overall auditory-perceptual severity.

conclusionsThe RTSS and RTSS-Voice exhibited strong content validity. The standard RTSS-Voice terminology helped identify, for the first time, commonalities and differences in treatment ingredients, targets, and mechanisms of action across four treatments developed for the same patient population. In the long term, the RTSS and RTSS-Voice could provide the framework for an ever-growing collection of clinically meaningful and evidence-based therapy algorithms with potential to improve research, education, and clinical care. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.25537624.

Indexed as

DysphoniaMuscle TonusVoice TrainingEvidence-Based MedicineEvidence-Based PracticeHumansMassageQualitative ResearchReproducibility of ResultsTerminology as TopicTreatment OutcomeVoice Quality

Identifiers

PMID38597797
PMCPMC11253635

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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.