Abstract
The fast evolution in the implementation of new technologies in the healthcare environment has created a wide range of new tools for applying patient care and their pathologies’ control. In the hospital background, this implementation has been continuous and adapted to each category, easing the learning and acceptance. It has not happened likewise in the Primary Care environment because the degree of acceptance of the new digital tools and their use being ignored. By this narrative review of the literature, the aim is to objectify the need to carry out research studies for assessing the attitudes and skills of Nursing professionals in the primary care setting in the acceptance of new technologies by means of validated tools, for, with their correct implantation, apply nursing care that facilitates healthy aging for patients through new digital tools. The limited literature on research previous to the implementation of new digital tools focused on health for professionals makes it necessary to evaluate the health population to identify facilitators and barriers in the implementation of new tools. This seems to be a previous step for a correct implementation in favor of quality nursing care for the population attended through the new information and communication technologies.
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References
Risling, T.: Educating the nurses of 2025: technology trends of the next decade. Nurse Educ. Pract. 22, 89–92 (2017). https://doi.org/10.1016/j.nepr.2016.12.007
ITU (2021): Report on the Implementation of the Strategic Plan and the Activities of the Union, April 2019 – April 2021. April
UNCTAD (2021): Informe sobre tecnología e información 2021. Conferencia De Las Naciones Unidas Sobre Comercio Y Desarrollo, 29
Olarte, S.: Brecha digital, pobreza y exclusión social. Temas Laborales 138, 285–313 (2017). https://dialnet.unirioja.es/servlet/articulo?codigo=6552396
Organization, W.H.: Estrategia Mundial Sobre Salud Digital, p. 42 (2020). https://www.paho.org/hq/index.php?option=com_docman&view=download&category_slug=56-directing-council-spanish
Comision Europea (2021): Brújula Digital 2030: el enfoque de Europa para el Decenio Digital. https://eur-lex.europa.eu/legal-content/es/TXT/?uri=CELEX:52021DC0118
Luengo-Polo, J., Conde-Caballero, D., Rivero-Jiménez, B., Ballesteros-Yáñez, I., Castillo-Sarmiento, C.A., Mariano-Juárez, L.: Rationale and methods of evaluation for acho, a new virtual assistant to improve therapeutic adherence in rural elderly populations: a user-driven living lab. Int. J. Environ. Res. Public Health 18, 7904 (2021). https://doi.org/10.3390/ijerph18157904
Sprenger, M., Mettler, T., Osma, J.: Health professionals’ perspective on the promotion of e-mental health apps in the context of maternal depression. PLoS ONE 12(7), e0180867 (2017). https://doi.org/10.1371/journal.pone.0180867. PMID:28704442;PMCID:PMC5507525
Hsiao, S.J., Li, Y.C., Chen, Y.L., Ko, H.C.: Critical factors for the adoption of mobile nursing information systems in Taiwan: the nursing department administrators’ perspective. J. Med. Syst. 33(5), 369–377 (2009). https://doi.org/10.1007/s10916-008-9199-8. PMID: 19827263
Lee, T.T.: Nursing administrators’ experiences in managing PDA use for inpatient units. Comput. Inform. Nurs. 24(5), 280–7 (2006). https://doi.org/10.1097/00024665-200609000-00010. PMID: 16980781
Marini, S.D., Hasman, A., Huijer, H.A., Dimassi, H.: Nurses’ attitudes toward the use of the bar-coding medication administration system. Comput. Inform. Nurs. 28(2), 112–23 (2010). https://doi.org/10.1097/NCN.0b013e3181cd80f6. PMID: 20182162
Kummer, T.F., Schäfer, K., Todorova, N.: Acceptance of hospital nurses toward sensor-based medication systems: a questionnaire survey. Int. J. Nurs. Stud. 50(4), 508–517 (2013). https://doi.org/10.1016/j.ijnurstu.2012.11.010. Epub 2013 Jan 24 PMID: 23352607
Escobar-Rodríguez, T., Romero-Alonso, M.M.: Modeling nurses’ attitude toward using automated unit-based medication storage and distribution systems: an extension of the technology acceptance model. Comput. Inform. Nurs. 31(5), 235–243 (2013). https://doi.org/10.1097/NXN.0b013e31828a0d81. PMID: 23478728
Kinnunen, U.-M., Heponiemi, T., Rajalahti, E., Ahonen, O., Korhonen, T., Hyppönen, H.: Factors related to health informatics competencies for nurses—results of a national electronic health record survey. CIN Comput. Inform. Nurs. 37(8), 420–429 (2019). https://doi.org/10.1097/CIN.0000000000000511
Kaihlanen, A.M., Gluschkoff, K., Kinnunen, U.M., Saranto, K., Ahonen, O., Heponiemi, T.: Nursing informatics competences of Finnish registered nurses after national educational initiatives: a cross-sectional study. Nurse Educ. Today 106(July), 105060 (2021). https://doi.org/10.1016/j.nedt.2021.105060
Kassam, I., Nagle, L., Strudwick, G.: Informatics competencies for nurse leaders: protocol for a scoping review. BMJ Open 7(12), 1–4 (2017). https://doi.org/10.1136/bmjopen-2017-018855
Collins, S., Yen, P.Y., Phillips, A., Kennedy, M.K.: Nursing informatics competency as. J. Nurs. Adm. 47(4), 212–218 (2017). https://doi.org/10.1097/NNA.0000000000000467
Monraz-Pérez, S., Pacheco-López, A., Castorena-Maldonado, A., et al.: Telemedicina durante la pandemia por COVID-19. Neumol. Cir. Torax 80(2), 132–140 (2021). https://doi.org/10.35366/100996
Bermúdez, S.: Satisfacción del paciente de telemedicina durante la pandemia COVID-19, p. 1047492126. Disponible en: http://hdl.handle.net/10726/4093
Lorenzo Aparici, M.O.D.: La Telemedicina en España en la época de la postpandemia Covid-19. Revista: Toko-Ginecologia Practica 771, 221–235 (2020). Periodo: 2
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992). https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
Yong, L.A.: Modelo de aceptación tecnológica. Revista Internacional de Ciencias Sociales y Humanidades 1(1), 42 (2004). http://www.redalyc.org/pdf/654/65414107.pdf
Wan Ismail, W.K., Chan, P.H.K., Buhari, N., Muzaini, A.: Acceptance of smartphone in enhancing patient-caregivers relationship. J. Technol. Manag. Innov. 7(3), 71–79 (2012). https://doi.org/10.4067/S0718-27242012000300007
Kohnke, A., Cole, M.L., Bush, R.G.: Incorporating UTAUT predictors for understanding home care patients’ and clinician’s acceptance of healthcare telemedicine equipment. J. Technol. Manag. Innov. 9(2), 29–41 (2014). https://doi.org/10.4067/S0718-27242014000200003
Yen, P.Y., Phillips, A., Kennedy, M.K., Collins, S.: Nursing informatics competency assessment for the nurse leader instrument refinement, validation, and psychometric analysis. J. Nurs. Adm. 47(5), 271–277 (2017)
Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991). https://doi.org/10.1016/0749-5978(91)90020-t
Ribeiro, O.M., Martins, M.M., Vandresen, L., Silva, J.M., Cardoso, M.F.: Utilidade das tecnologias de informação e comunicação: olhar dos enfermeiros portugueses. Texto Contexto Enferm [Internet] 30, e20190139 (2021). [acesso MÊS ANO DIA]; Disponível em: https://doi.org/10.1590/1980-265X-TCE-2019-0139
Bennani, A.E., Oumlil, R.: IT acceptance by nurses in morocco: application of a modified unified theory of acceptance and use of technology. IBIMA Bus. Rev. 2014 (2014). Article ID 849383, https://doi.org/10.5171/2014.849383
Duplaga, M., Andrychiewicz, A., Dańda, J.: The opinions about e-health among nurses employed in hospitals located in an urban area in Poland. Comput. Inform. Nurs. CIN 31(6), 281–289 (2013). https://doi.org/10.1097/NXN.0b013e31828a0d98
Eley, R., Fallon, T., Soar, J., Buikstra, E., Hegney, D.: Barriers to use of information and computer technology by Australia’s nurses: a national survey. J. Clin. Nurs. 18(8), 1151–1158 (2009). https://doi.org/10.1111/j.1365-2702.2008.02336.x. PMID: 19320784
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003). https://web.archive.org/web/20060514100134/http://csdl.ics.hawaii.edu/techreports/05-06/doc/Venkatesh2003.pdf
Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008). https://doi.org/10.1111/j.1540-5915.2008.00192.x
Huser, V., Narus, S.P., Rocha, R.A.: Evaluation of a flowchart-based EHR query system: a case study of RetroGuide. J. Biomed. Inform. 43(1), 41–50 (2010). https://doi.org/10.1016/j.jbi.2009.06.001
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This work was supported by 4IE + project (0499_4IE_PLUS_4_E) funded by the Interreg VA Spain-Portugal (POCTEP) 2014–2020 program.
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Luengo Polo, J., Muñoz Ortega, A.V., Rivero Jiménez, B., Conde Caballero, D., Mariano Juárez, L. (2022). Acceptance of Digital Tools for Healthy Aging. New Challenges for Nursing. In: García-Alonso, J., Fonseca, C. (eds) Gerontechnology IV. IWoG 2021. Lecture Notes in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-97524-1_8
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