Drivers for Teleconsultation Acceptance in Brazil: Patients’ Perspective during the COVID-19 Pandemic
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Main Article Content
Marcus Rodrigues Peixoto
Jorge Brantes Ferreira
LaÃs Oliveira
Abstract
Context: teleconsultation can be a strategic technological tool for patients to access quality healthcare while dealing with resource challenges within health industry. It can be particularly relevant during and after the COVID-19 pandemic, when the social distancing world had to scramble for new technological solutions to offer quality healthcare services with reduced personal contact. Objective: our research proposes an integrative technology acceptance model to evaluate the drivers of teleconsultation adoption by patients, aligning constructs from the technology acceptance model with other drivers, such as technology readiness, trust, and self-efficacy. Methods: analyses included descriptive statistics and structural equations modeling based on survey’s data from a sample of 415 consumers. Results: results indicate significant relationships between the assessed constructs, with particular relevance on the effects of perceived usefulness, anteceded by trust and technology readiness, on attitude and intention to use teleconsultation. Conclusion: our findings provide helpful insights for health organizations and regulators associated with the diffusion of teleconsultation. The study findings also indicate that the challenging COVID-19 pandemic context may be affecting patients’ intention to adopt teleconsultation.
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Peixoto, M. R., Ferreira, J. B., & Oliveira, L. (2021). Drivers for Teleconsultation Acceptance in Brazil: Patients’ Perspective during the COVID-19 Pandemic. Journal of Contemporary Administration, 26(2), e210063. https://doi.org/10.1590/1982-7849rac2022210063.en
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Chauhan, S., & Jaiswal, M. (2017). A meta-analysis of e-health applications acceptance: Moderating impact of user types and e-health application types. Journal of Enterprise Information Management, 30(2), 295-319. https://doi.org/10.1108/JEIM-08-2015-0078
Chien, S-E., Chu, L., Lee, H.-H., Yang, C.-C., Lin, F.-H., Yang, P.-L., Wang, T.-M., & Yeh, S.-L. (2019). Age difference in perceived ease of use, curiosity, and implicit negative attitude toward robots. ACM Transactions on Human-Robot Interaction, 8(2), Article 9. https://doi.org/10.1145/3311788
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Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211. https://doi.org/10.2307/249688
Dario, C., Luisotto, E., Pozzo, E. D., Mancin, S., Aletras, V., Newman, S., Gubian, L., & Saccavini, C. (2016). Assessment of patients’ perception of telemedicine services using the service user technology acceptability questionnaire. International Journal of Integrated Care, 16(2), 13. https://doi.org/10.5334/ijic.2219
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. Retrieved from https://www.jstor.org/stable/2632151
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Fanta, G. B., & Pretorius, L. (2018). A conceptual framework for sustainable e-health implementation in resource-constrained settings. South African Journal of Industrial Engineering, 29(3), 132-147. https://dx.doi.org/10.7166/29-3-2055
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