A Cross-cultural Adaptation of the "Telemedicine Satisfaction and Usefulness Questionnaire" Scale to Rioplatense Spanish and an Evaluation of the Global Satisfaction Level of Tele-Rehabilitation in a Kinesiology and Occupational Therapy Service
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Introduction: the Kinesiology service of the Hospital Italiano de Buenos Aires adopted virtuality for patient care during the COVID-19 pandemic. It was decided to make a cross-cultural adaptation of the 17-item Telemedicine Satisfaction and Usefulness Questionnaire (TSUQ) validated for Peninsular Spanish to assess patient satisfaction.
Methods: two native researchers adapted the TSUQ questionnaire to Riplatense Spanish. The participants were patients seen between May 2021 and March 2022 who had undergone at least four sessions of TR. We evaluated the correlation between the resulting instrument score and that of an item added as a concurrent external criterion. Construct validation was done with exploratory and confirmatory factor analysis.
Results: we obtained 293 questionnaires (mean age 57 years, 64% female). After the AFE results (n=101), we agreed on eliminating five items. The final questionnaire (12 items) was tested in a new sample (n=192) with a CEA. Composite reliability, mean-variance extracted, and convergent validity were adequate, whereas the discriminant accuracy was low. We documented a moderate correlation (Spearman of 0.35, p < 0.0001) between the total questionnaire score and the aggregate question score as a concurrent external validation criterion and an excellent correlation between versions.
Conclusion: the abbreviated version of the TSUQ questionnaire in Spanish has suitable psychometric properties, which makes it a valuable instrument for evaluating patient satisfaction in persons undergoing Tele-Rehabilitation.
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Liu Y, Gayle AA, Wilder-Smith A, et al. The reproductive number of COVID-19 is higher compared to SARS coronavirus. J Travel Med. 2020;27(2):taaa021. https://doi.org/10.1093/jtm/taaa021. DOI: https://doi.org/10.1093/jtm/taaa021
Organización Mundial de la Salud. Acelerador del acceso a las herramientas contra la Covid-19 [Internet]. Ginebra: OMS; 2020 abr 24 [citado 2022 ago 25]. Disponible en: https://www.who.int/es/news-room/detail/24-04-2020-commitment-and-call-to-action-global-collaboration-to-accelerate-new-covid-19-health-technologies.
Portnoy J, Waller M, Elliott T. Telemedicine in the era of COVID-19. J Allergy Clin Immunol Pract. 2020;8(5):1489-1491. https://doi.org/10.1016/j.jaip.2020.03.008. DOI: https://doi.org/10.1016/j.jaip.2020.03.008
Wootton R. Recent advances: telemedicine. BMJ. 2001;323(7312):557-560. https://doi.org/10.1136/bmj.323.7312.557. DOI: https://doi.org/10.1136/bmj.323.7312.557
Edworthy SM. Telemedicine in developing countries. BMJ. 2001;323(7312):524-525. https://doi.org/10.1136/bmj.323.7312.524. DOI: https://doi.org/10.1136/bmj.323.7312.524
Lee AC. COVID-19 and the advancement of digital physical therapist practice and telehealth. Phys Ther. 2020;100(7):1054-1057. https://doi.org/10.1093/ptj/pzaa079. DOI: https://doi.org/10.1093/ptj/pzaa079
Lee AC, Davenport TE, Randall K. Telehealth physical therapy in musculoskeletal practice. J Orthop Sports Phys Ther. 2018;48(10):736-739. https://doi.org/10.2519/jospt.2018.0613. DOI: https://doi.org/10.2519/jospt.2018.0613
Mira-Solves JJ, Orozco-Beltrán D, Sánchez-Molla M, et al. Evaluación de la satisfacción de los pacientes crónicos con los dispositivos de telemedicina y con el resultado de la atención recibida. Programa ValCrònic. Aten Primaria. 2014;46(Suppl 3):16-23. https://doi.org/10.1016/S0212-6567(14)70061-7. Errata en: Aten Primaria. 2015;47(8):549. Multiple investigator names added. DOI: https://doi.org/10.1016/S0212-6567(14)70061-7
Bakken S, Grullon-Figueroa L, Izquierdo R, et al. Development, validation, and use of English and Spanish versions of the telemedicine satisfaction and usefulness questionnaire. J Am Med Inform Assoc. 2006;13(6):660-667. https://doi.org/10.1197/jamia.M2146. DOI: https://doi.org/10.1197/jamia.M2146
Wild D, Grove A, Martin M, Eremenco S, et al. Principles of good practice for the translation and cultural adaptation process for Patient-Reported Outcomes (PRO) measures: report of the ISPOR Task Force for Translation and Cultural Adaptation. Value Health. 2005;8(2):94-104. https://doi.org/10.1111/j.1524-4733.2005.04054.x. DOI: https://doi.org/10.1111/j.1524-4733.2005.04054.x
Ramada-Rodilla JM, Serra-Pujadas C, Delclós-Clanchet GL. Adaptación cultural y validación de cuestionarios de salud: revisión y recomendaciones metodológicas. Salud Pública Méx. 2013;55(1):57-66. https://doi.org/10.1590/s0036-36342013000100009. DOI: https://doi.org/10.1590/S0036-36342013000100009
Terrasa SA, Peña FV, Martínez MLP, et al. Validación en español de un cuestionario para la evaluación de la calidad de la mentoría en investigación en ciencias de la salud. Evid Actual Práct Ambul. 2022;25(2):e007018. https://doi.org/10.51987/evidencia.v25i3.7018. DOI: https://doi.org/10.51987/evidencia.v25i3.7018
Hair JF. Multivariate data analysis: an overview. En Lovric, M,(eds). International Encyclopedia of Statistical Science. Berlin: Springer; 2011. p. 904-907. https://dx.doi.org/10.1007/978-3-642-04898-2_395. DOI: https://doi.org/10.1007/978-3-642-04898-2_395
Fornell C, Larcker DF. Structural equation models with unobservable variables and measurement error: algebra and statistics. J Marketing Res. 1981;18(3):382-388. https://doi.org/10.2307/3150980. DOI: https://doi.org/10.1177/002224378101800313
Streiner DL. A checklist for evaluating the usefulness of rating scales. Can J Psychiatry. 1993;38(2):140-148. https://doi.org/10.1177/070674379303800214. DOI: https://doi.org/10.1177/070674379303800214
Demiris G, Speedie S, Finkelstein S. A questionnaire for the assessment of patients' impressions of the risks and benefits of home telecare. J Telemed Telecare. 2000;6(5):278-284. https://doi.org/10.1258/1357633001935914. DOI: https://doi.org/10.1258/1357633001935914
Streiner DL. Figuring out factors: the use and misuse of factor analysis. Can J Psychiatry. 1994;39(3):135-140. https://doi.org/10.1177/070674379403900303. DOI: https://doi.org/10.1177/070674379403900303
Brown TA. Confirmatory factor analysis for applied research. 2nd ed. New York: Guilford; 2015.
Streiner DL. A guide for the statistically perplexed: selected readings for clinical researchers. Toronto: University of Toronto Press; 2013. DOI: https://doi.org/10.3138/9781442662827
Chin WW. The partial least squares approach to structural equation modeling. En: Marcoulides GA. Modern methods for business research. London: Lawrence Erlbaum; 1998. p. 295-336.
Schermelleh-Engel K, Kerwer M, Klein AG. Evaluation of model fit in nonlinear multilevel structural equation modeling. Front Psychol. 2014;5:181. https://doi.org/10.3389/fpsyg.2014.00181. DOI: https://doi.org/10.3389/fpsyg.2014.00181
Lance CE, Vandenberg RJ. Statistical and methodological myths and urban legends: doctrine, verity and fable in the organizational and social sciences. New York: Routledge; 2009. DOI: https://doi.org/10.4324/9780203867266
McGloin H, O'Connell D, Glacken M, et al. Patient empowerment using electronic telemonitoring with telephone support in the transition to insulin therapy in adults with type 2 diabetes: observational, pre-post, mixed methods study. J Med Internet Res. 2020;22(5):e16161. https://doi.org/10.2196/16161. DOI: https://doi.org/10.2196/16161