Detrás de los auriculares: precisión predictiva de las medidas de resultados informadas por el paciente para los síntomas de voz en call centers

Behind the Headset: Predictive Accuracy of Patient-Reported Outcome Measures for Voice Symptoms in Call Centers

Publicado 2024-01-29 — Actualizado el 2024-02-03

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Vol. 6 Núm. 1 (2024)
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Artículos de investigación
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Detrás de los auriculares: precisión predictiva de las medidas de resultados informadas por el paciente para los síntomas de voz en call centers. Rev. Investig. Innov. Cienc. Salud [Internet]. 2024 Feb. 3 [cited 2024 Dec. 5];6(1):44-72. Available from: https://riics.info/index.php/RCMC/article/view/240
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https://doi.org/10.46634/riics.240
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.

Adrián Castillo-Allendes
Department of Communicative Sciences and Disorders; Michigan State University; East Lansing; Michigan; United States. / Department of Communication Sciences and Disorders; The University of Iowa; Iowa City; United States
    https://orcid.org/0000-0002-9511-6203
    Lady Catherine Cantor-Cutiva
    Department of Communication Sciences and Disorders; The University of Iowa; Iowa City; United Sta
      https://orcid.org/0000-0002-4530-4345
      Eduardo Fuentes-López
      Department of Health Sciences; School of Medicine; Pontificia Universidad Católica de Chile; Santiago; Chile
        https://orcid.org/0000-0002-0141-0226
        Eric J. Hunter
        Department of Communication Sciences and Disorders; The University of Iowa; Iowa City; United States
          https://orcid.org/0000-0001-5571-464X
          Mostrar biografía de los autores

          Objetivo. Este estudio examina los factores que predicen los síntomas de voz en los trabajadores de call centers.

          Métodos. Se utilizan análisis multivariados y modelos predictivos para evaluar factores personales, laborales, acústicos y de comportamiento. Se emplean Modelos Lineales Generalizados (GLM) y curvas ROC.

          Resultados. La edad y los patrones de sueño afectaron la calidad vocal y el esfuerzo, mientras que los factores laborales influyeron en la percepción de síntomas. Los comportamientos vocales no saludables se relacionaron con voz tensa y mayor esfuerzo, mientras que la hidratación fue protectora. Los parámetros acústicos de voz mostraron potencial diagnóstico respaldado por datos de ROC. Los hallazgos subrayan complejidad de síntomas vocales en profesionales de centros de llamadas, requiriendo una evaluación integral.

          Limitaciones. Este estudio reconoce sus limitaciones, que incluyen una muestra de conveniencia de tamaño moderado y la dependencia de medidas PROMs. Futuras investigaciones deberían incorporar medidas objetivas, además de los autorreportes y análisis acústico.

          Importancia. Esta investigación aporta nuevos conocimientos sobre factores personales, laborales y síntomas de voz en trabajadores de call centers. El modelado predictivo mejora la evaluación de riesgos y la comprensión de la susceptibilidad individual a trastornos de la voz.

          Conclusión. Los resultados muestran asociaciones entre diversos factores y los síntomas vocales reportados. Los factores de protección incluyen dormir más de seis horas y una hidratación constante; los factores de riesgo incluyen las condiciones de trabajo, como la ubicación y comportamientos como fumar. Los modelos de diagnóstico indican una buena precisión para algunas PROMs de síntomas de la voz, lo que subraya la necesidad de modelos integrales que tengan en cuenta los factores laborales, los comportamientos vocales y los parámetros acústicos para comprender la complejidad de los problemas de la voz.

          Visitas del artículo 401 | Visitas PDF 161

          1. Fuentes-López E, Fuente A, Contreras KV. Inadequate vocal hygiene habits associated with the presence of self-reported voice symptoms in telemarketers. Logop Phoniatr Vocology [Internet]. 2019 Jul 3;44(3):105-14. doi: https://doi.org/10.1080/14015439.2017.1414302
          2. Altundas Hatman E, Torun SD. Occupational diseases among call center operators needing vocal rehabilitation. Med Lav [Internet]. 2022;113(3):e2022026. doi: https://doi.org/10.23749/mdl.v113i3.12897
          3. Devadas U, Rajashekhar B. The prevalence and impact of voice problems in call center operators. J Laryngol Voice [Internet]. 2013 Jan 1;3(1):3-9. doi: https://doi.org/10.4103/2230-9748.118696
          4. Cantor-Cutiva LC. Association between occupational voice use and occurrence of voice disorders a meta-analysis. Areté [Internet]. 2018 Dec 31;18(2):1-10. doi: https://doi.org/10.33881/1657-2513.art.18201
          5. da Silva Dantas BTSE, Enéas ELS, de Azevedo SLG, da Silva MIB, de Lima-Silva MFB. Vocal Health, Working Conditions and Their Implications on the Occupational Health of Telemarketers: An Integrative Review. J Voice [Internet]. 2021 Mar 7;37(3):468.e13-468.e21. doi: https://doi.org/10.1016/j.jvoice.2021.02.008
          6. Girardi BB, Marchand DLP, Moreira T de C, Drummond RL, Cassol M. Relação entre condições de trabalho e sintomas vocais em operadores de um call center modelo. Audiol Commun Res [Internet]. 2017;22(0):1-7. doi: http://doi.org/10.1590/2317-6431-2016-1738
          7. Mori MC, Francis DO, Song PC. Identifying Occupations at Risk for Laryngeal Disorders Requiring Specialty Voice Care. Otolaryngol Head Neck Surg [Internet]. 2017 Sep 12;157(4):670-75. doi: https://doi.org/10.1177/0194599817726528
          8. Byeon H. Occupational risks for voice disorders: Evidence from a Korea national cross-sectional survey. Logoped Phoniatr Vocol [Internet]. 2017 Jan 2;42(1):39-43. doi: https://doi.org/10.1080/14015439.2016.1178326
          9. Phyland D, Miles A. Occupational voice is a work in progress: active risk management, habilitation and rehabilitation. Curr Opin Otolaryngol Head Neck Surg [Internet]. 2019 Dec;27(6):439-47. doi: https://doi.org/10.1097/MOO.0000000000000584
          10. Bainbridge KE, Roy N, Losonczy KG, Hoffman HJ, Cohen SM. Voice disorders and associated risk markers among young adults in the United States. Laryngoscope [Internet]. 2017 Sep;127(9):2093–99. doi: https://doi.org/10.1002/lary.26465
          11. Morawska J, Niebudek-Bogusz E. Risk factors and prevalence of voice disorders in different occupational groups – a review of literature. Otorynolaryngologia [Internet]. 2017;16(3):94-102. Available from: https://bibliotekanauki.pl/articles/1033326.pdf
          12. Castillo‐Allendes A, Guzmán‐Ferrada D, Hunter EJ, Fuentes‐López E. Tracking Occupational Voice State with a Visual Analog Scale: Voice Quality, Vocal Fatigue, and Effort. Laryngoscope [Internet]. 2022 Sep 22;133(7):1676-82. doi: https://doi.org/10.1002/lary.30398
          13. Francis DO, Daniero JJ, Hovis KL, Sathe N, Jacobson B, Penson DF, et al. Voice-Related Patient-Reported Outcome Measures: A Systematic Review of Instrument Development and Validation. J Speech Lang Hear Res [Internet]. 2017 Jan 1;60(1):62-88. doi: https://doi.org/10.1044/2016_JSLHR-S-16-0022
          14. Slavych BK, Zraick RI, Ruleman A. A Systematic Review of Voice-Related Patient-Reported Outcome Measures for Use with Adults. J Voice [Internet]. 2021 Nov 12; S0892-1997(21)00340-4. doi: https://doi.org/10.1016/j.jvoice.2021.09.032
          15. Ranapurwala SI, Cavanaugh JE, Young T, Wu H, Peek-Asa C, Ramirez MR. Public health application of predictive modeling: an example from farm vehicle crashes. Inj Epidemiol [Internet]. 2019 Jun 17;6(1):31. doi: https://doi.org/10.1186/s40621-019-0208-9
          16. Martínez-Cifuentes R, Torres-Bustos V, Sáez-Carrillo K. Textos utilizados en la evaluación de adultos chilenos con trastornos del habla de origen neurológico. Rev Logop Foniatría y Audiol [Internet]. 2020 Apr 1;40(2):77-82. doi: https://doi.org/10.1016/j.rlfa.2019.11.002
          17. Celestina M, Hrovat J, Kardous CA. Smartphone-based sound level measurement apps: Evaluation of compliance with international sound level meter standards. Appl Acoust [Internet]. 2018 Oct 1;139:119-28. doi: https://doi.org/10.1016/j.apacoust.2018.04.011
          18. Celestina M, Kardous CA, Trost A. Smartphone-based sound level measurement apps: Evaluation of directional response. Appl Acoust [Internet]. 2021 Jan 1;171:107673. doi: https://doi.org/10.1016/j.apacoust.2020.107673
          19. Kardous CA, Shaw PB. Evaluation of smartphone sound measurement applications. J Acoust Soc Am [Internet]. 2014 Mar 21;135(4):EL186–92. doi: https://doi.org/10.1121/1.4865269
          20. Isshiki N, Okamura H, Morimoto M. LXXXIII Maximum phonation time and air flow rate during phonation: simple clinical tests for vocal function. Ann Otol Rhinol Laryngol [Internet]. 1967 Dec;76(5):998-1007. doi: https://doi.org/10.1177/000348946707600510
          21. Maslan J, Leng X, Rees C, Blalock D, Butler SG. Maximum Phonation Time in Healthy Older Adults. J Voice [Internet]. 2011 Nov;25(6):709-13. doi: https://doi.org/10.1016/j.jvoice.2010.10.002
          22. Núñez-Batalla F, Corte-Santos P, Señaris-González B, Llorente-Pendás JL, Górriz-Gil C, Suárez-Nieto C. Adaptation and validation to the Spanish of the Voice Handicap Index (VHI-30) and its shortened version (VHI-10). Acta Otorrinolaringol Esp [Internet]. 2007 Nov;58(9):386-92. doi: https://doi.org/10.1016/S2173-5735(07)70376-9
          23. Rosen CA, Lee AS, Osborne J, Zullo T, Murry T. Development and Validation of the Voice Handicap Index-10. Laryngoscope [Internet]. 2004;114(9):1549-56. doi: https://doi.org/10.1097/00005537-200409000-00009
          24. Carter JV, Pan J, Rai SN, Galandiuk S. ROC-ing along: Evaluation and interpretation of receiver operating characteristic curves. Surgery [Internet]. 2016 Mar 5;159(6):1638-45. doi: https://doi.org/10.1016/j.surg.2015.12.029
          25. Hajian-Tilaki K. Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation. Caspian J Intern Med [Internet]. 2013;4(2):627-35. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3755824/
          26. Sato K, Hirano M, Nakashima T. Age-Related Changes of Collagenous Fibers in the Human Vocal Fold Mucosa. Ann Otol Rhinol Laryngol [Internet]. 2002 Jan;111(1):15-20. doi: https://doi.org/10.1177/000348940211100103
          27. Taylor S, Dromey C, Nissen SL, Tanner K, Eggett D, Corbin-Lewis K. Age-Related Changes in Speech and Voice: Spectral and Cepstral Measures. J Speech Lang Hear Res [Internet]. 2020 Mar 23;63(3):647-60. doi: https://doi.org/10.1044/2019_JSLHR-19-00028
          28. Xue SA, Hao GJ. Changes in the Human Vocal Tract Due to Aging and the Acoustic Correlates of Speech Production: a Pilot Study. J Speech Lang Hear Res [Internet]. 2003 Jun;46(3):689-701. doi: https://doi.org/10.1044/1092-4388(2003/054)
          29. Carrillo-Gonzalez A, Camargo-Mendoza M, Cantor-Cutiva LC. Relationship Between Sleep Quality and Stress with Voice Functioning among College Professors: A Systematic Review and Meta-analysis. J Voice [Internet]. 2021 May;35(3):499.e13-499.e21. doi: https://doi.org/10.1016/j.jvoice.2019.11.001
          30. Bagnall AD, Dorrian J, Fletcher A. Some Vocal Consequences of Sleep Deprivation and the Possibility of “Fatigue Proofing” the Voice with Voicecraft® Voice Training. J Voice [Internet]. 2011 Mar 14;25(4):447-61. doi: https://doi.org/10.1016/j.jvoice.2010.10.020
          31. Icht M, Zukerman G, Hershkovich S, Laor T, Heled Y, Fink N, et al. The “Morning Voice”: The Effect of 24 Hours of Sleep Deprivation on Vocal Parameters of Young Adults. J Voice [Internet]. 2020 May;34(3):489.e1-489.e9. doi: https://doi.org/10.1016/j.jvoice.2018.11.010
          32. Ishikawa K, Thibeault S. Voice Rest Versus Exercise: a Review of the Literature. J Voice [Internet]. 2010 Jul;24(4):379-87. doi: https://doi.org/10.1016/j.jvoice.2008.10.011
          33. Vyazovskiy VV. Sleep, recovery, and metaregulation: explaining the benefits of sleep. Nat Sci Sleep [Internet]. 2015 Dec 17;7:171-84. doi: https://doi.org/10.2147/NSS.S54036
          34. Cantor-Cutiva LC. Relationship Between Room Acoustics With Voice Symptoms and Voice-Related Quality of Life Among Colombian School and College Teachers During Online Classes in Times of COVID-19 Pandemic. J Voice [Internet]. Forthcoming 2022 Mar 13. doi: https://doi.org/10.1016/j.jvoice.2022.03.008
          35. Bottalico P, Codino J, Cantor-Cutiva LC, Marks K, Nudelman CJ, Skeffington J, et al. Reproducibility of Voice Parameters: The Effect of Room Acoustics and Microphones. J Voice [Internet]. 2020 May;34(3):320-34. doi: https://doi.org/10.1016/j.jvoice.2018.10.016
          36. Santos CTD, Santos C, Lopes LW, Silva POC, Lima-Silva MFB de. Relationship between working and voice conditions self-reported by telemarketers of an emergency call center. Codas. 2016 Oct 24;28(5):583-94. doi: https://doi.org/10.1590/2317-1782/20162015125
          37. Oliveira P, Ribeiro VV, Constantini AC, Cavalcante ME de OB, Sousa MDS, da Silva K. Prevalence of Work-Related Voice Disorders in Voice Professionals: Systematic Review and Meta-Analysis. J Voice [Internet]. Forthcoming 2022 Aug 31. doi: http://doi.org/10.1016/j.jvoice.2022.07.030
          38. Hazlett DE, Duffy OM, Moorhead SA. Occupational voice demands and their impact on the call-centre industry. BMC Public Health [Internet]. 2009 Apr 20;9:1-5. doi: https://doi.org/10.1186/1471-2458-9-108
          39. Nair CB, Nayak S, Maruthy S, Krishnan JB, Devadas U. Prevalence of Voice Problems, Self-Reported Vocal Symptoms and Associated Risk Factors in Call Center Operators (CCOs): A Systematic Review. J Voice [Internet]. Forthcoming 2021 Aug 30. doi: https://doi.org/10.1016/j.jvoice.2021.07.022
          40. Sampaio MC, Borges Dos Reis EJF, Carvalho FM, Porto LA, Araújo TM. Vocal Effort and Voice Handicap Among Teachers. J Voice [Internet]. 2012;26(6):820.e15-820.e18. doi: https://doi.org/10.1016/j.jvoice.2012.06.003
          41. Porto VF de A, Bezerra TT, Zambon F, Behlau M. Fatigue, effort and vocal discomfort in teachers after teaching activity. Codas [Internet]. 2021;33(4):1-8. doi: http://doi.org/10.1590/2317-1782/20202020067
          42. Hunter EJ, Titze IR. Quantifying vocal fatigue recovery: Dynamic vocal recovery trajectories after a vocal loading exercise. Ann Otol Rhinol Laryngol [Internet]. 2009 Jun;118(6):449-60. doi: https://doi.org/10.1177/000348940911800608
          43. Cantor-Cutiva LC, Bottalico P, Hunter E. Factors associated with vocal fry among college students. Logoped Phoniatr Vocol [Internet]. 2018 Jul;43(2):73-9. doi: https://doi.org/10.1080/14015439.2017.1362468
          44. Castillo A, Casanova C, Valenzuela D, Castañón S. Prevalencia de disfonía en profesores de colegios de la comuna de Santiago y factores de riesgo asociados. Cienc Trab [Internet]. 2015 Apr;17(52):15-21. doi: http://doi.org/10.4067/S0718-24492015000100004
          45. Onen C, Golac H, Tunc Songur E, Kemaloglu YK. Acoustic and Auditory-Perceptual Analysis of Voice in the Female Smokers Who Do Not Have Self-Reported Voice Complaint. J Voice [Internet]. 2023 Mar;37(2):297.e1-297.e6. doi: https://doi.org/10.1016/j.jvoice.2020.12.050
          46. Sivasankar M, Leydon C. The role of hydration in vocal fold physiology. Curr Opin Otolaryngol Head Neck Surg [Internet]. 2010 Jun;18(3):171-5. doi: https://doi.org/10.1097/MOO.0b013e3283393784
          47. Alves M, Krüger E, Pillay B, van Lierde K, van der Linde J. The Effect of Hydration on Voice Quality in Adults: A Systematic Review. J Voice [Internet]. 2019 Jan;33(1):125.e13-125.e28. doi: https://doi.org/10.1016/j.jvoice.2017.10.001
          48. Antonetti AE da S, Siqueira LTD, Gobbo MP de A, Brasolotto AG, Silverio KCA. Relationship of Cepstral Peak Prominence-Smoothed and Long-Term Average Spectrum with Auditory-Perceptual Analysis. Appl Sci [Internet]. 2020 Dec;10(23):1-12. doi: https://doi.org/10.3390/app10238598
          49. Mahalingam S, Boominathan P, Arunachalam R, Venkatesh L, Srinivas S. Cepstral Measures to Analyze Vocal Fatigue in Individuals with Hyperfunctional Voice Disorder. J Voice [Internet]. 2021 Nov;35(6):815-21. doi: http://doi.org/10.1016/j.jvoice.2020.02.007
          50. Chan MPY, Liberman M. An acoustic analysis of vocal effort and speaking style. Proc Meet Acoust [Internet]. 2022 Apr 7;45(1):1-12. doi: https://doi.org/10.1121/2.0001549
          51. Murton O, Hillman R, Mehta D. Cepstral Peak Prominence Values for Clinical Voice Evaluation. Am J Speech Lang Pathol [Internet]. 2020;29(3):1596-607. doi: https://doi.org/10.1044/2020_AJSLP-20-00001
          52. Hunter EJ, Cantor-Cutiva LC, van Leer E, van Mersbergen M, Nanjundeswaran CD, Bottalico P, et al. Toward a Consensus Description of Vocal Effort, Vocal Load, Vocal Loading, and Vocal Fatigue. J Speech Lang Hear Res [Internet]. 2020 Feb 26;63(2):509-32. doi: https://doi.org/10.1044/2019_JSLHR-19-00057
          53. Maryn Y, Corthals P, Van Cauwenberge P, Roy N, De Bodt M. Toward Improved Ecological Validity in the Acoustic Measurement of Overall Voice Quality: Combining Continuous Speech and Sustained Vowels. J Voice [Internet]. 2010 Sep;24(5):540-55. doi: https://doi.org/10.1016/j.jvoice.2008.12.014
          54. Patel RR, Awan SN, Barkmeier-Kraemer J, Courey M, Deliyski D, Eadie T, et al. Recommended Protocols for Instrumental Assessment of Voice: American Speech-Language-Hearing Association Expert Panel to Develop a Protocol for Instrumental Assessment of Vocal Function. Am J Speech Lang Pathol [Internet]. 2018 Aug 6;27(3):887-905. doi: https://doi.org/10.1044/2018_AJSLP-17-0009
          55. Constantini AC, Ribeiro VV, Behlau M. Voice Disorder Classifications: A Scoping Review – Part A. J Voice [Internet]. Forthcoming 2022 Dec 3. doi: https://doi.org/10.1016/j.jvoice.2022.11.016
          56. Moghtader M, Soltani M, Mehravar M, JafarShaterzadehYazdi M, Dastoorpoor M, Moradi N. The Relationship Between Vocal Fatigue Index and Voice Handicap Index in University Professors with and without Voice Complaint. J Voice [Internet]. 2020;34(5):809.e1-809.e5. doi: https://doi.org/10.1016/j.jvoice.2019.01.010
          57. Barsties v. Latoszek B, Kim GH, Delgado Hernández J, Hosokawa K, Englert M, Neumann K, et al. The validity of the Acoustic Breathiness Index in the evaluation of breathy voice quality: A Meta-Analysis. Clin Otolaryngol [Internet]. 2021;46(1):31-40. doi: https://doi.org/10.1111/coa.13629
          58. Castillo-Allendes A, Cantor-Cutiva LC, Hunter EJ. Acoustic Effects of Vocal Warm-Up: A 7-Week Longitudinal Case Study. J Voice [Internet]. Forthcoming 2021 Nov. doi: https://doi.org/10.1016/j.jvoice.2021.09.030
          59. Marsano-Cornejo MJ, Roco-Videla Á. Comparison of the Acoustic Parameters Obtained with Different Smartphones and a Professional Microphone. Acta Otorrinolaringol Esp (Engl Ed) [Internet]. 2022 Jan;73(1):51-5. doi: https://doi.org/10.1016/j.otoeng.2020.08.009
          60. Dejonckere PH, Bradley P, Clemente P, Cornut G, Crevier-Buchman L, Friedrich G, et al. A basic protocol for functional assessment of voice pathology, especially for investigating the efficacy of (phonosurgical) treatments and evaluating new assessment techniques. Eur Arch Otorhinolaryngol [Internet]. 2001 Feb;258(2):77-82. doi: https://doi.org/10.1007/s004050000299
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