Factores que influyen en la aceptación de la telesalud en mujeres peruanas
DOI:
https://doi.org/10.47058/joa10.5Palabras clave:
atención virtual, brecha digital, factores conductuales , ansiead informática, influencia socialResumen
La telesalud, fundamental durante la pandemia de COVID-19, enfrenta desafíos para su plena legitimación. La brecha digital y resistencia cultural son obstáculos, pero ofrece beneficios como la superación de barreras geográficas y socioeconómicas. La investigación busca identificar factores que determinan la aceptación de la telesalud en mujeres peruanas. El abordaje es de tipo descriptivo con un enfoque cuantitativo. Se realizaron encuestas a 503 mujeres universitarias en Lima, revelando confianza en médicos y actitudes positivas hacia la tecnología, aunque persiste la desconfianza en la seguridad de la información. La ansiedad informática y la influencia social son destacadas. Los resultados sugieren interés y disposición hacia la telesalud, subrayando la importancia de condiciones facilitadoras y expectativas de apoyo, especialmente en el contexto universitario. La investigación aboga por políticas universales para democratizar el acceso digital, enfocándose en grupos marginados como mujeres. Estos hallazgos son esenciales para profesionales de la salud y políticas de salud, destacando la necesidad de programas de apoyo en la comunidad universitaria para fomentar la aceptación y confianza en la telesalud.
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Abbad, M. M. (2021). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and Information Technologies, 26(6), 7205-7224. https://doi.org/10.1007/s10639-021-10573-5
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., ... & Al-Maroof, R. S. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: Students’ perceptions at the university level. Electronics, 11(22), 3662. https://doi.org/10.3390/electronics11223662
Al-Mamary, Y. H. S. (2022). Understanding the use of learning management systems by undergraduate university students using the UTAUT model: Credible evidence from Saudi Arabia. International Journal of Information Management Data Insights, 2(2), 100092. https://doi.org/10.1016/j.jjimei.2022.100092
Bakshi, S., & Tandon, U. (2022). Understanding barriers of telemedicine adoption: a study in North India. Systems Research and Behavioral Science, 39(1), 128-142. https://doi.org/10.1002/sres.2774
Cimperman, M., Bren?i?, M. M., & Trkman, P. (2016). Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model. International Journal of Medical Informatics, 90, 22-31. https://doi.org/10.1016/j.ijmedinf.2016.03.002.
Cimperman, M., Bren?i?, M. M., Trkman, P., & Stanonik, M. D. L. (2013). Older adults' perceptions of home telehealth services. Telemedicine and e-Health, 19(10), 786-790. https://doi.org/10.1089/tmj.2012.0272.
Curioso, W. H., Coronel-Chucos, L. G., & Henríquez-Suarez, M. (2023). Integrating Telehealth for Strengthening Health Systems in the Context of the COVID-19 Pandemic: A Perspective from Peru. International Journal of Environmental Research and Public Health, 20(11), 5980. https://doi.org/10.3390/ijerph20115980
Curioso-Vilchez, W. H., & Coronel-Chucos, L. G. (2022). Barriers and challenges for the development of telehealth in Peru in the context of COVID-19. Visión electrónica, 16(1).
De Simone, S., Franco, M., Servillo, G., & Vargas, M. (2022). Implementations and strategies of telehealth during COVID-19 outbreak: a systematic review. BMC Health Services Research, 22(1), 1-10. https://doi.org/10.1186/s12913-022-08235-4
Du, S., Carfang, L., Restrepo, E., Benjamin, C., Epstein, M. M., Fairley, R., ... & Warner, E. T. (2022). Patient-reported experiences of breast cancer screening, diagnosis, and treatment delay, and telemedicine adoption during COVID-19. Current Oncology, 29(8), 5919-5932. https://doi.org/10.3390/curroncol29080467
Gallegos-Rejas, V. M., Thomas, E. E., Kelly, J. T., & Smith, A. C. (2023). A multi-stakeholder approach is needed to reduce the digital divide and encourage equitable access to telehealth. Journal of Telemedicine and Telecare, 29(1), 73-78. https://doi.org/10.1177/1357633X221107995
Higgs, S., & Ruddock, H. (2020). Social influences on eating. Handbook of eating and drinking: Interdisciplinary perspectives, 277-291. https://doi.org/10.1007/978-3-030-14504-0_27
Kapare, H. S., Rathi, K. M., & Labhade, S. D. (2022). Telemedicine: present, future and applications. In Telemedicine: The Computer Transformation of Healthcare (pp. 311-320). Cham: Springer International Publishing. https://doi.org/10.3390/healthcare10061041
Li, X., Zhou, Y., Liu, Y., Wang, X., & Yuen, K. F. (2023). Psychological antecedents of telehealth acceptance: A technology readiness perspective. International Journal of Disaster Risk Reduction, 91, 103688.
Maleka, N. H., & Matli, W. (2022). A review of telehealth during the COVID-19 emergency situation in the public health sector: challenges and opportunities. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-08-2021-0126
Martinez, A., Villarroel, V., Seoane, J., & Del Pozo, F. (2004). A study of a rural telemedicine system in the Amazon region of Peru. Journal of telemedicine and telecare, 10(4), 219-225. https://doi.org/10.1258/1357633041424412
Mbunge, E., Muchemwa, B., & Batani, J. (2022). Are we there yet? Unbundling the potential adoption and integration of telemedicine to improve virtual healthcare services in African health systems. Sensors International, 3, 100152. https://doi.org/10.1016/j.sintl.2021.100152
Montemurro, N. (2022). Telemedicine: Could it represent a new problem for spine surgeons to solve?. Global Spine Journal, 12(6), 1306-1307. https://doi.org/10.1177/21925682221090891
Mustafa, M., Alshare, M., Bhargava, D., Neware, R., Singh, B., & Ngulube, P. (2022). Perceived security risk based on moderating factors for blockchain technology applications in cloud storage to achieve secure healthcare systems. Computational and mathematical methods in medicine, 2022. https://doi.org/10.1155/2022/6112815
Napitupulu, D., Yacub, R., & Perdana Kusuma Putra, A. H. (2021). Factor Influencing of Telehealth Acceptance During COVID-19 Outbreak: Extending UTAUT Model. International Journal of Intelligent Engineering & Systems, 14(3). https://doi.org/10.22266/ijies2021.0630.23.
Owusu Kwateng, K., Darko-Larbi, O., & Amanor, K. (2023). A modified UTAUT2 for the study of telemedicine adoption. International Journal of Healthcare Management, 16(2), 207-223. https://doi.org/10.1080/20479700.2022.2088068
Patel, K. B., Tabriz, A. A., Turner, K., Gonzalez, B. D., Oswald, L. B., Jim, H. S., ... & Spiess, P. E. (2023). Telemedicine adoption in an NCI-designated cancer center during the COVID-19 pandemic: a report on patient experience of care. Journal of the National Comprehensive Cancer Network, 21(5), 496-502. https://doi.org/10.6004/jnccn.2023.7008
Rho, M. J., Kim, H. S., Chung, K., & Choi, I. Y. (2015). Factors influencing the acceptance of telemedicine for diabetes management. Cluster Computing, 18, 321-331. https://doi.org/10.1007/s10586-014-0356-1
Rodriguez, H. P., Ciemins, E., Rubio, K., Rattelman, C., Cuddeback, J. K., Mohl, J. T., ... & Shortell, S. M. (2023). Health Systems and Telemedicine Adoption for Diabetes and Hypertension Care. The American journal of managed care, 29(1), 42. https://doi.org/10.37765%2Fajmc.2023.89302
Roque, K., Ruiz, R., Otoya-Fernandez, I., Galarreta, J., Vidaurre, T., de Mello, R. A., ... & Gómez, H. (2022). The impact of telemedicine on cancer care: Real-world experience from a Peruvian Institute during the COVID-19 pandemic. Future Oncology, 18(31), 3501-3508. https://doi.org/10.2217/fon-2022-0239
Schmitz, A., Díaz-Martín, A. M., & Guillén, M. J. Y. (2022). Modifying UTAUT2 for a cross-country comparison of telemedicine adoption. Computers in Human Behavior, 130, 107183. https://doi.org/10.1016/j.chb.2022.107183
Schnelle, C., & Jones, M. A. (2022). Protocol for a qualitative study on doctors’ opinions on and experiences of exceptionally good doctors. Advances in Medical Education and Practice, 103-109. https://doi.org/10.2147/AMEP.S343554
Siripipatthanakul, S., Limna, P., Sriboonruang, P., & Kaewpuang, P. (2023). Applying the TPB and the UTAUT models predicting intentions to use telemedicine among Thai people during the COVID-19 pandemic. International Journal of Computing Sciences Research, 7, 1362-1384. https://stepacademic.net/
Snoswell, C. L., Chelberg, G., De Guzman, K. R., Haydon, H. H., Thomas, E. E., Caffery, L. J., & Smith, A. C. (2023). The clinical effectiveness of telehealth: a systematic review of meta-analyses from 2010 to 2019. Journal of telemedicine and telecare, 29(9), 669-684. https://doi.org/10.1177/1357633X211022907
Thomas, E. E., Haydon, H. M., Mehrotra, A., Caffery, L. J., Snoswell, C. L., Banbury, A., & Smith, A. C. (2022). Building on the momentum: sustaining telehealth beyond COVID-19. Journal of telemedicine and telecare, 28(4), 301-308. https://doi.org/10.1177/1357633X20960638
Van Waeyenberg, T., Peccei, R., & Decramer, A. (2022). Performance management and teacher performance: the role of affective organizational commitment and exhaustion. The International Journal of Human Resource Management, 33(4), 623-646. https://doi.org/10.1080/09585192.2020.1754881
Woo, K., & Dowding, D. W. (2020). Decision-making factors associated with telehealth adoption by patients with heart failure at home: a qualitative study. CIN: Computers, Informatics, Nursing, 38(4), 204-214. https://doi.org/10.1097/CIN.0000000000000589
Wardlow, L., Roberts, C., Archbald-Pannone, L., & Collaborative for Telehealth and Aging. (2023). Perceptions and uses of telehealth in the care of older adults. Telemedicine and e-Health, 29(8), 1143-1151. https://doi.org/10.1089/tmj.2022.0378
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Derechos de autor 2024 Ada Lucía Gallegos Ruiz Conejo, Wilmer Londoño-Celis, Paula Andrea Rodríguez Correa, Luisa Adriana Rodríguez Zavala, Mauricio Renato Bouroncle Velásquez, Luis Vega-Mori, Pedro Martínez Valera
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
