Summary
Objective
To evaluate the usability and acceptability of “Health and Voice” for the promotion
of vocal health, and to analyze the same with sociodemographic data, work data, self-knowledge
data on vocal care, voice disadvantage, and vocal fatigue symptoms in elementary school
teachers.
Material and methods
A cross-sectional observational study, with a sample of 277 elementary school teachers
from a Brazilian capital. Teachers were invited to access, interact and evaluate the
mHealth: “Health and Voice”. The evaluation instruments were the questionnaire with
information on socio-demographic and work data, the System Usability Scale (SUS),
the questionnaire with questions about acceptability, the Voice Handicap Index Protocol
(VHI-10), and the Vocal Fatigue Index Protocol (VFI). Descriptive and association
analyses were performed by the Chi-square, Fisher exact, Mann-Whitney, and Wilcoxon
tests (P ≤ 0.05)
Results
the mean SUS score was 81.9 points; the mean of the acceptability questions was 17.24;
the VHI-10 was 6.96 points; the VFI was 21.11 points. Most participants rated the
acceptability of mHealth as high. There was an association between acceptability and
working in two shifts (P = 0.019); between acceptability and usability (P < 0.001); and between usability and self-perception of knowledge about voice care
after using mHealth (P = 0.000). The activity perceived as most important was guidance on voice care.
Conclusion
“Health and Voice” is a vocal guidance tool for teachers that promotes vocal health.
It has high usability and acceptability by elementary school teachers. Self-reported
knowledge about vocal care increases after its use and those who evaluate the technology
with high acceptability are 3.6 times more likely to also classify it with high usability.
Key Words
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Journal of VoiceAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
REFERENCES
- Telehealth use in speech, language and hearing pathology in Brazil: systematic review.Rev CEFAC. 2015; 17: 2033-2043https://doi.org/10.1590/1982-021620151769015
World Health Organization.mHealth: New Horizons for Health through Mobile Technologies: Based on the Findings of the Second Global Survey on eHealth (Global Observatory for eHealth Series, Volume 3). 2011. World Health Organization. ISBN: 978-92-4-156425-0.
World Health Organization. Report EB142/20. mHealth. Use of appropriate digital technologies for public health. 2017.
- Chronic kidney disease: exploring new strategies of communication for health promotion.Brazilian J Health Promotion. 2018; 31: 1-8https://doi.org/10.5020/18061230.2018.8753
- Design and evaluation of mhealth technology for vocal health promotion.RISTI - Iberian J Inform Sys Technol. 2016; 19: 46-60https://doi.org/10.17013/risti.19.46-60
- Voice disorder Detection via an m-health system: design and results of a clinical study to evaluate Vox4Health.Biomed Res Int. 2018; : 1-19https://doi.org/10.1155/2018/8193694
- Prototype app for voice therapy: a peer review.CoDAS. 2017; 29: 1-9https://doi.org/10.1590/2317-1782/20172015300
- Development and application of a vocal health and hygiene game in adults.CoDAS. 2019; 310: 1-10https://doi.org/10.1590/2317-1782/20182018184
Teixeira LC, Beça P, Freitas J, et al. Usability and acceptability of an online tool to promote health of the teacher's voice: pilot study. Presented at: 14th Iberian Conference on Information Systems and Technologies (CISTI), Coimbra, Portugal. 2019:1–6. https://doi.org/10.23919/CISTI.2019.8760678.
- Epidemiology of voice disorders in teachers and nonteachers in Brazil: prevalence and adverse effects.J Voice. 2012; 26 (665.e9–18)https://doi.org/10.1016/j.jvoice.2011.09.010
- Work-related voice disorder: an integrative review.Brazilian J Occupational Health. 2020; 45: 1-14https://doi.org/10.1590/2317-6369000040218
- Prevalence of voice disorders in teachers and the general population.J Speech Lang Hear Res. 2004; 47: 281-293https://doi.org/10.1044/1092-4388(2004/023
Observavoz [homepage on the internet]. Saúde e Voz. Available at: https://www.medicina.ufmg.br/observavoz/sala-de-espera/. Accessed September 6, 2021.
- Usability assessment: a systematic review of the literature.RISTI - Iberian J Informn Syst Technol. 2013; 11: 31-44https://doi.org/10.4304/risti.11.31-44
- Technology acceptance research in education.in: Teo T. Technology Acceptance in Education. Sense Publishers, Roterdã2011: 1-5https://doi.org/10.1007/978-94-6091-487-4_1
- Testing usability and acceptability of a web application to promote physical activity (iCanFit) among older adults.JMIR. 2014; 1: e2https://doi.org/10.2196/humanfactors.3787
Chen, L., Rai, A. and Krishnan, G. Consumer awareness and use of mobile health services in India: an urban–rural comparison study. Thirty Fifth International Conference on Information Systems.15 December 2014; Auckland, NZ; 2014.
- Understanding determinants of consumer mobile health usage intentions, assimilation, and channel preferences.J Med Internet Res. 2013; 15: e149https://doi.org/10.2196/jmir.2635
- Cognitive factors of using health apps: Systematic analysis of relationships among health consciousness, health information orientation, eHealth literacy, and health app use efficacy.J Med Internet Res. 2014; 16: 1-10https://doi.org/10.2196/jmir.3283
- Determinants of individuals’ intention to use mobile health: insights from India.Transform Govern People Proc Policy. 2019; 13: 306-326https://doi.org/10.1108/TG-04-2019-0027
- Determinants of adoption of mobile health services.Online Informat Rev. 2015; 39: 556-573https://doi.org/10.1108/OIR-01-2015-0007
- Gaps in knowledge: tracking and explaining gender diferences in health information seeking.Soc Sci Med. 2015; 128: 151-158https://doi.org/10.1016/j.socscimed.2015.01.028
- Influencing factors of acceptance and use behavior of mobile health application users: systematic review.Healthcare. 2021; 9: 1-13https://doi.org/10.3390/2Fhealthcare9030357
- Mobile Health 2012.Pew Research Center. 2012; : 1-29
- Health app se Among US mobile phone users: analysis of trends by chronic disease status.JMIR mHealth uHealth. 2017; 5: e197https://doi.org/10.2196/mhealth.7832
- Health app possession among smartphone or tablet owners in Hong Kong: population-based survey.JMIR mHealth uHealth. 2017; 5: 21-34https://doi.org/10.2196/mhealth.7628
- SUS: a retrospective.J Usability Stud. 2013; 8: 29-40
- European Portuguese validation of the System Usability Scale (SUS).Procedia Com Sci. 2015; 67: 293-300https://doi.org/10.1016/j.procs.2015.09.273
- Validation of the voice handicap index: 10 (VHI-10) to the Brazilian Portuguese.CoDAS. 2013; 25: 482-485https://doi.org/10.1590/S2317-17822013000500013
- Vocal fatigue index: validation and cut-off values of the Brazilian Version.J Voice. 2020; : 1-8https://doi.org/10.1016/j.jvoice.2020.06.018
- Efficiency and cutoff values of self-assessment instruments on the Impact of a Voice Problem.J Voice. 2016; 30: 506.e9-506.e18https://doi.org/10.1016/j.jvoice.2015.05.022
- Fatigue, effort and vocal discomfort in teachers after teaching activity.CoDAS. 2021; 33: 1-8https://doi.org/10.1590/2317-1782/20202020067
- Assembling questionnaires to measure user satisfaction: evaluation of the interface of a system that uses image retrieval technique by content.(Presented at:)in: IHC 2008 - VlJI Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems. 176. 2008: 185https://doi.org/10.1145/1497470.1497490
- Usability and Quality of Information: a study of the Student Portal of the Federal University of Espírito Santo.Inf Soc Est João Pessoa. 2016; 26: 211-230
- Technology Acceptance Model (TAM) applied to information system of the Virtual Health Library (VHL) in medicine school of the Recife metropolitan área.Inform Soc: Studies. 2013; 19: 1-17
- Application of the technology acceptance model to cloud computing.Manag Pers Knowl. 2016; 6: 188-207
- Acceptance of assessment of technological tools in teacher academic work environment.Univ Manag Mag Latin Am. 2019; 12: 1-15https://doi.org/10.5007/1983-4535.2019v12n2p118
- Usability challenges for health and wellness mobile apps: mixed-methods study among mHealth experts and consumers.JMIR Mhealth Uhealth. 2019; 7: e12160https://doi.org/10.2196/12160
- Teaching work in higher education and vocal health: a bibliographic review study.Sci Station (UNIFAP). 2016; 6: 67-77https://doi.org/10.18468/estcien.2016v6n2.p67-77
- The voice of the teacher: a tool that needs care.J Res Fundam Care Online. 2015; 7: 2865-2873https://doi.org/10.9789/2175-5361.2015.v7i3.2865-2873
- Vocal symptoms and self-reported causes in teachers.CEFAC. 2016; 18: 158-166https://doi.org/10.1590/1982-021620161817915
- Voice symptoms in teachers during distance teaching: a survey during the COVID19 pandemic in Finland.Eur Arch Otorhinolaryngol. 2021; : 1-8https://doi.org/10.1007/s00405-021-06960-w
- Correlation between Vocal fatigue and voice handicap in primary school teachers. An intern.J Otorhinolar Clin. 2019; 11: 30-33https://doi.org/10.5005/jp-journals-10003-1327
- The relationship between vocal fatigue index and voice handicap index in university professors with and without voice complaint.J Voice. 2020; 34: 809e1-809e5https://doi.org/10.1016/j.jvoice.2019.01.010
- Leite APD. Perception of fatigue in professors according to the level of knowledge of vocal health and hygiene.Audiol Commun Res. 2019; 24: 1-5https://doi.org/10.1590/2317-6431-2019-2163
- Gender differences in the reporting of vocal fatigue in teachers as quantified by the vocal fatigue index.Ann Otol Rhinol Laryngol. 2017; 126: 813-818https://doi.org/10.1177/0003489417738788
- Teacher's voice: vocal tract discomfort symptoms, vocal intensity and noise in the classroom.CoDAS. 2016; 28: 168-175https://doi.org/10.1590/2317-1782/20162015027
- Use of VoiceGuard application by teachers: structuring the experience map.Iberian J Informat Syst Technol. 2020; 25: 380-395
Article info
Publication history
Published online: January 21, 2023
Accepted:
December 8,
2022
Publication stage
In Press Corrected ProofFootnotes
Coordination for the Improvement of Higher Education Personnel (CAPES) granted the master's scholarship that financed the execution of this study (process number 88887.484720/2020).
Identification
Copyright
© 2022 The Voice Foundation. Published by Elsevier Inc. All rights reserved.
