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Copyright (c) 2020 Marcela Tabares-Tabares, Consuelo Vélez Álvarez, Alexandra Giraldo Osorio, Jaime Morales Romero, María de Lourdes Mota Morales, Francesc Saigí Rubió
This work is licensed under a Creative Commons Attribution 4.0 International License.
Determinants of the intention to use telemedicine in patients and doctors in Caldas, Colombia
Corresponding Author(s) : Marcela Tabares-Tabares
Ciencia e Innovación en Salud,
2020
Abstract
Background: Telemedicine is a means to overcome inequalities in access to health services and its implementation has increased during the Covid-19 pandemic, during which providers have temporary authorization for this modality. After the health emergency, a series of requirements for continuity must be met. One of the variables that contribute to the success of such continuity and sustainability is the intention of use of patients and health professionals, which determines the success or rejection of these services. Methods: Quantitative, cross-sectional and analytical study carried out in 174 physicians and 820 patients. A self-completed instrument was used, based on the Technology Acceptance Model (TAM). Results: The variables perceived utility, perceived ease of use and attitude, in doctors and patients, presented correlation coefficients higher than 0.70, (r = 0.78, r = 0.82, r = 0.87 in doctors and r = 0.79, r = 0.82, r = 0.88 in patients). The facilitating and facilitating variables presented greater correlation with the intention to use (r = 0.89 for both in physicians, and r = 0.89, r = 0.90 in patients). Conclusions: These results reveal the importance of the facilitating elements as a key factor for the acceptance of telemedicine. As other studies have shown, to improve the adoption of this technology it is necessary to create conditions that facilitate its appropriation, prior to its implementation, such as provision of infrastructure, training and adjustments in the organizational aspect.
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- Ministerio de Salud y Protección Social (MSPS), Dirección de Prestación de Servicios y Atención Primaria. Línea de base de Telemedicina en municipios priorizados en Colombia, 2015 [Internet]. Bogotá, Colombia; 2015. Disponible en: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/PSA/linea-base-telemedicina-municpios-priorizados.pdf
- Presidencia de la República de Colombia. Ley 1419 del 2010 por la cual se establecen los lineamientos para el desarrollo de la telesalud en Colombia [Internet]. 2010. Disponible en: http://wsp.presidencia.gov.co/Normativa/Leyes/Documents/ley141913122010.pdf
- Burgoyne N, Cohn AS. Lessons from the Transition to Relational Teletherapy During COVID-19. Fam Process. 2020;59(3):974-988. DOI: 10.1111/famp.12589
- Rockwell KL, Gilroy AS. Incorporating telemedicine as part of COVID-19 outbreak response systems. Am J Manag Care. 2020;26(4):147-148. DOI: 10.37765/ajmc.2020.42784
- Presidencia de la República de Colombia. Decreto 538 de 2020 por el cual se adoptan medidas en el sector salud, para contener y mitigar la pandemia de COVID-19 y garantizar la prestación de los servicios de salud, en el marco del Estado de Emergencia Económica, Social y Ecológica [Internet]. 2020. Disponible en: http://www.suin-juriscol.gov.co/viewDocument.asp?ruta=Decretos/30039105
- Ward MM, Jaana M, Natafgi N. Systematic review of telemedicine applications in emergency rooms. Int J Med Inform. 2015;84(9):601-616. DOI: 10.1016/j.ijmedinf.2015.05.009
- Saigi-Rubió F, Jiménez-Zarco A, Torrent-Sellens J. Determinants of the intention to use telemedicine: evidence from primary care physicians. Int J Technol Assess Health Care. 2016;32(1-2):29-36. DOI: 10.1017/S0266462316000015
- Saigí-Rubió F, Torrent-Sellens J, Jiménez-Zarco A. Drivers of telemedicine use: comparative evidence from samples of Spanish, Colombian and Bolivian physicians. Implement Sci. 2014;9:128. Published 2014 Oct 8. DOI: 10.1186/s13012-014-0128-6
- Telesalud Universidad de Caldas [Internet]. 2020 [citado 1 noviembre 2020]. Disponible en: https://coronavirustelesalud.com/
- Davis, Fred D. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly, vol. 13, no. 3, 1989, pp. 319–340. JSTOR, www.jstor.org/stable/249008
- Keshvari H, Haddadpoor A, Taheri B, Nasri M, Aghdak P. Survey determinant factors of telemedicine strategic planning from the managers and experts perspective in the health department, isfahan university of medical sciences. Acta Inform Med. 2014;22(5):320-324. DOI: 10.5455/aim.2014.22.320-324
- Chau, Patrick Y. K., and Paul J. Hu. “Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study.” Journal of Management Information Systems, vol. 18, no. 4, 2002, pp. 191–229. JSTOR. www.jstor.org/stable/40398548
- Triandis HC. Values, attitudes, and interpersonal behavior. Nebr Symp Motiv. 1980;27:195-259.
- Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
- Orruño Aguado E, Manrique Martínez M, Aguirrebeitia Celaya I, Gagnon M-P, Asua Batarrita J, Bayón Yusta J, et al. Evaluación de la implantación de la telemedicina diagnóstica en el ámbito de la dermatología. Plan de Calidad para el Sistema Nacional de Salud del Ministerio de Sanidad y Politica Social. Agencia de Evaluación de Tecnologías Sanitarias del País Vasco; 20 [Internet]. 2012. Report No.: 2009/02. Disponible en: http://www.osakidetza.euskadi.eus/contenidos/informacion/2013_osteba_publicacion/es_def/adjuntos/Implantacion_WEB.PDF
- Orruño E, Gagnon MP, Asua J, Ben Abdeljelil A. Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model. J Telemed Telecare. 2011;17(6):303-307. DOI: 10.1258/jtt.2011.101101
- Pereyra Rodríguez J. Determinantes del uso de la telemedicina en una Organización Sanitaria [Maestría]. Universidad Oberta de Cataluña; 2017. https://dialnet.unirioja.es/servlet/articulo?codigo=6905102
- Schepers J, Wetzels M. A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Inf Manag. 2007 Jan;44(1):90–103. DOI: 10.1016/j.im.2006.10.007
- Roig F., Saigí F.. Elementos facilitadores en la implantación de servicios de telemedicina: Perspectiva de los profesionales implicados en su diseño y puesta en marcha. Anales Sis San Navarra [Internet]. 2011 Ago [citado 2020 Nov 02] ; 34( 2 ): 235-244. Disponible en: DOI: 10.4321/S1137-66272011000200009
- Zailani S, Gilani MS, Nikbin D, Iranmanesh M. Determinants of telemedicine acceptance in selected public hospitals in Malaysia: clinical perspective. J Med Syst. 2014;38(9):111. DOI: 10.1007/s10916-014-0111-4
- Segrelles-Calvo G, Chiner E, Fernández-Fabrellas E. Acceptance of telemedicine among healthcare professionals. Arch Bronconeumol. 2015;51(12):611-612. DOI: 10.1016/j.arbres.2015.08.002
References
Ministerio de Salud y Protección Social (MSPS), Dirección de Prestación de Servicios y Atención Primaria. Línea de base de Telemedicina en municipios priorizados en Colombia, 2015 [Internet]. Bogotá, Colombia; 2015. Disponible en: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/PSA/linea-base-telemedicina-municpios-priorizados.pdf
Presidencia de la República de Colombia. Ley 1419 del 2010 por la cual se establecen los lineamientos para el desarrollo de la telesalud en Colombia [Internet]. 2010. Disponible en: http://wsp.presidencia.gov.co/Normativa/Leyes/Documents/ley141913122010.pdf
Burgoyne N, Cohn AS. Lessons from the Transition to Relational Teletherapy During COVID-19. Fam Process. 2020;59(3):974-988. DOI: 10.1111/famp.12589
Rockwell KL, Gilroy AS. Incorporating telemedicine as part of COVID-19 outbreak response systems. Am J Manag Care. 2020;26(4):147-148. DOI: 10.37765/ajmc.2020.42784
Presidencia de la República de Colombia. Decreto 538 de 2020 por el cual se adoptan medidas en el sector salud, para contener y mitigar la pandemia de COVID-19 y garantizar la prestación de los servicios de salud, en el marco del Estado de Emergencia Económica, Social y Ecológica [Internet]. 2020. Disponible en: http://www.suin-juriscol.gov.co/viewDocument.asp?ruta=Decretos/30039105
Ward MM, Jaana M, Natafgi N. Systematic review of telemedicine applications in emergency rooms. Int J Med Inform. 2015;84(9):601-616. DOI: 10.1016/j.ijmedinf.2015.05.009
Saigi-Rubió F, Jiménez-Zarco A, Torrent-Sellens J. Determinants of the intention to use telemedicine: evidence from primary care physicians. Int J Technol Assess Health Care. 2016;32(1-2):29-36. DOI: 10.1017/S0266462316000015
Saigí-Rubió F, Torrent-Sellens J, Jiménez-Zarco A. Drivers of telemedicine use: comparative evidence from samples of Spanish, Colombian and Bolivian physicians. Implement Sci. 2014;9:128. Published 2014 Oct 8. DOI: 10.1186/s13012-014-0128-6
Telesalud Universidad de Caldas [Internet]. 2020 [citado 1 noviembre 2020]. Disponible en: https://coronavirustelesalud.com/
Davis, Fred D. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly, vol. 13, no. 3, 1989, pp. 319–340. JSTOR, www.jstor.org/stable/249008
Keshvari H, Haddadpoor A, Taheri B, Nasri M, Aghdak P. Survey determinant factors of telemedicine strategic planning from the managers and experts perspective in the health department, isfahan university of medical sciences. Acta Inform Med. 2014;22(5):320-324. DOI: 10.5455/aim.2014.22.320-324
Chau, Patrick Y. K., and Paul J. Hu. “Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study.” Journal of Management Information Systems, vol. 18, no. 4, 2002, pp. 191–229. JSTOR. www.jstor.org/stable/40398548
Triandis HC. Values, attitudes, and interpersonal behavior. Nebr Symp Motiv. 1980;27:195-259.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
Orruño Aguado E, Manrique Martínez M, Aguirrebeitia Celaya I, Gagnon M-P, Asua Batarrita J, Bayón Yusta J, et al. Evaluación de la implantación de la telemedicina diagnóstica en el ámbito de la dermatología. Plan de Calidad para el Sistema Nacional de Salud del Ministerio de Sanidad y Politica Social. Agencia de Evaluación de Tecnologías Sanitarias del País Vasco; 20 [Internet]. 2012. Report No.: 2009/02. Disponible en: http://www.osakidetza.euskadi.eus/contenidos/informacion/2013_osteba_publicacion/es_def/adjuntos/Implantacion_WEB.PDF
Orruño E, Gagnon MP, Asua J, Ben Abdeljelil A. Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model. J Telemed Telecare. 2011;17(6):303-307. DOI: 10.1258/jtt.2011.101101
Pereyra Rodríguez J. Determinantes del uso de la telemedicina en una Organización Sanitaria [Maestría]. Universidad Oberta de Cataluña; 2017. https://dialnet.unirioja.es/servlet/articulo?codigo=6905102
Schepers J, Wetzels M. A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Inf Manag. 2007 Jan;44(1):90–103. DOI: 10.1016/j.im.2006.10.007
Roig F., Saigí F.. Elementos facilitadores en la implantación de servicios de telemedicina: Perspectiva de los profesionales implicados en su diseño y puesta en marcha. Anales Sis San Navarra [Internet]. 2011 Ago [citado 2020 Nov 02] ; 34( 2 ): 235-244. Disponible en: DOI: 10.4321/S1137-66272011000200009
Zailani S, Gilani MS, Nikbin D, Iranmanesh M. Determinants of telemedicine acceptance in selected public hospitals in Malaysia: clinical perspective. J Med Syst. 2014;38(9):111. DOI: 10.1007/s10916-014-0111-4
Segrelles-Calvo G, Chiner E, Fernández-Fabrellas E. Acceptance of telemedicine among healthcare professionals. Arch Bronconeumol. 2015;51(12):611-612. DOI: 10.1016/j.arbres.2015.08.002