Literature DB >> 23184134

Evidence-based clinical voice assessment: a systematic review.

Nelson Roy1, Julie Barkmeier-Kraemer, Tanya Eadie, M Preeti Sivasankar, Daryush Mehta, Diane Paul, Robert Hillman.   

Abstract

PURPOSE: To determine what research evidence exists to support the use of voice measures in the clinical assessment of patients with voice disorders.
METHOD: The American Speech-Language-Hearing Association (ASHA) National Center for Evidence-Based Practice in Communication Disorders staff searched 29 databases for peer-reviewed English-language articles between January 1930 and April 2009 that included key words pertaining to objective and subjective voice measures, voice disorders, and diagnostic accuracy. The identified articles were systematically assessed by an ASHA-appointed committee employing a modification of the critical appraisal of diagnostic evidence rating system.
RESULTS: One hundred articles met the search criteria. The majority of studies investigated acoustic measures (60%) and focused on how well a test method identified the presence or absence of a voice disorder (78%). Only 17 of the 100 articles were judged to contain adequate evidence for the measures studied to be formally considered for inclusion in clinical voice assessment.
CONCLUSION: Results provide evidence for selected acoustic, laryngeal imaging-based, auditory-perceptual, functional, and aerodynamic measures to be used as effective components in a clinical voice evaluation. However, there is clearly a pressing need for further high-quality research to produce sufficient evidence on which to recommend a comprehensive set of methods for a standard clinical voice evaluation.

Entities:  

Keywords:  assessment; diagnostics; technology; voice disorders

Mesh:

Year:  2012        PMID: 23184134     DOI: 10.1044/1058-0360(2012/12-0014)

Source DB:  PubMed          Journal:  Am J Speech Lang Pathol        ISSN: 1058-0360            Impact factor:   2.408


  45 in total

Review 1.  Rater methodology for stroboscopy: a systematic review.

Authors:  Heather Shaw Bonilha; Kendrea L Focht; Bonnie Martin-Harris
Journal:  J Voice       Date:  2014-09-26       Impact factor: 2.009

2.  Climate, vocal folds, and tonal languages: Connecting the physiological and geographic dots.

Authors:  Caleb Everett; Damián E Blasi; Seán G Roberts
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-20       Impact factor: 11.205

3.  Method for Vertical Calibration of Laser-Projection Transnasal Fiberoptic High-Speed Videoendoscopy.

Authors:  Hamzeh Ghasemzadeh; Dimitar D Deliyski; David S Ford; James B Kobler; Robert E Hillman; Daryush D Mehta
Journal:  J Voice       Date:  2019-05-29       Impact factor: 2.009

4.  Modal and non-modal voice quality classification using acoustic and electroglottographic features.

Authors:  Michal Borsky; Daryush D Mehta; Jarrad H Van Stan; Jon Gudnason
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2017-11-27

5.  Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: initial results for vocal fold nodules.

Authors:  Marzyeh Ghassemi; Jarrad H Van Stan; Daryush D Mehta; Matías Zañartu; Harold A Cheyne; Robert E Hillman; John V Guttag
Journal:  IEEE Trans Biomed Eng       Date:  2014-06       Impact factor: 4.538

Review 6.  Prevalence of voice disorders in the elderly: a systematic review of population-based studies.

Authors:  Leandro de Araújo Pernambuco; Albert Espelt; Patrícia Maria Mendes Balata; Kenio Costa de Lima
Journal:  Eur Arch Otorhinolaryngol       Date:  2014-08-23       Impact factor: 2.503

Review 7.  Speech therapy after thyroidectomy.

Authors:  Wing-Hei Viola Yu; Che-Wei Wu
Journal:  Gland Surg       Date:  2017-10

8.  Synchronized, concurrent optical coherence tomography and videostroboscopy for monitoring vocal fold morphology and kinematics.

Authors:  Gopi Maguluri; Daryush Mehta; James Kobler; Jesung Park; Nicusor Iftimia
Journal:  Biomed Opt Express       Date:  2019-08-06       Impact factor: 3.732

9.  Refining algorithmic estimation of relative fundamental frequency: Accounting for sample characteristics and fundamental frequency estimation method.

Authors:  Jennifer M Vojtech; Roxanne K Segina; Daniel P Buckley; Katharine R Kolin; Monique C Tardif; J Pieter Noordzij; Cara E Stepp
Journal:  J Acoust Soc Am       Date:  2019-11       Impact factor: 1.840

10.  A Measure of the Auditory-perceptual Quality of Strain from Electroglottographic Analysis of Continuous Dysphonic Speech: Application to Adductor Spasmodic Dysphonia.

Authors:  Keerthan Somanath; Ted Mau
Journal:  J Voice       Date:  2015-12-28       Impact factor: 2.009

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