Keywords
Strategy
Public Health
Diabetes Mellitus
Telemedicine Tecnologías de la Información
Estrategias
Salud Pública
Diabetes Mellitus
Telemedicina
How to Cite
Abstract
Events such as the COVID-19 pandemic have caused a radical change in the way of carrying out daily life activities, such as shopping, requesting services and the way of providing medical care, one of the services that were affected due to the social isolation required during the pandemic, however, thanks to technology it has been possible to have alternatives to provide this type of services, reducing mobility, Therefore, this paper analyzes strategies implemented in some regions of the world in order to identify areas of opportunity for health care providers in our country, mainly for the care of chronic degenerative diseases such as diabetes mellitus, as well as the identification of new lines of research where health and technology can converge.
References
Ahmed, Z., Mohamed, K., Zeeshan, S., & Dong, X. Q. (2020). Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database, 2020. Oxford University Press. https://doi.org/10.1093/database/baaa010
Anishchenko, M. A., Gidenko, I., Kaliman, M., Polyvaniuk, V., & Demi-Anchuk, Y. V. (2023). Artificial intelligence in medicine: Legal, ethical and social aspects. Acta Bioethica, 29(1), 63–72.
Basto-Abreu, A., López-Olmedo, N., Rojas-Martínez, R., Aguilar-Salinas, C. A., Moreno-Banda, G. L., Carnalla, M., Rivera, J. A., Romero-Martínez, M., Barquera, S., & Barrientos-Gutiérrez, T. (2023). Prevalence of prediabetes and diabetes in Mexico: Ensanut 2022. Salud Pública de México, 65. https://doi.org/10.21149/14832
Camargo-Plazas, P., Robertson, M., Alvarado, B., Paré, G. C., Costa, I. G., & Duhn, L. (2023). Diabetes self-management education (DSME) for older persons in Western countries: A scoping review. PLOS ONE, 18(8), e0288797. https://doi.org/10.1371/journal.pone.0288797
Casas, L. A., Alarcón, J., Urbano, A., Peña-Zárate, E. E., Sangiovanni, S., Libreros-Peña, L., & Escobar, M. F. (2023). Telemedicine for the management of diabetic patients in a high-complexity Latin American hospital. BMC Health Services Research, 23(1). https://doi.org/10.1186/s12913-023-09267-0
Cho, D. D., & Stauffer, J. M. (2022). Tele-medicine question response service: Analysis of benefits and costs. Omega, 111. https://doi.org/10.1016/j.omega.2022.102664
Cipolla, M., Capello, F., & Gaddi, A. V. (2020). Telemedicine and eHealth to empower patients with diabetes mellitus, fostering and enhancing the results of a functional diet. Mediterranean Journal of Nutrition and Metabolism, 13(2), 183–186. https://doi.org/10.3233/MNM-200408
Gutiérrez-León, E., Escamilla-Santiago, R. A., Martínez-Amezcua, P., Bilal, U., Lazo, M., Ogaz-González, R., & López-Cervantes, M. (2022). Trends and effect of marginalization on diabetes mellitus-related mortality in Mexico from 1990 to 2019. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-12831-z
Haimi, M. (2023). The tragic paradoxical effect of telemedicine on healthcare disparities - A time for redemption: A narrative review. BMC Medical Informatics and Decision Making, 23(1). https://doi.org/10.1186/s12911-023-02194-4
Hayat Khan, S., Pakistan Naval Ship Hafeez, S., & Pakistan, I. (2021). Setting up telehealth facilities at peripheral small-scale healthcare setups. Pak Armed Forces Medical Journal, 71(2), 710–723.
Höglinger, M., Wirth, B., Carlander, M., Caviglia, C., Frei, C., Rhomberg, B., Rohrbasser, A., Trottmann, M., & Eichler, K. (2023). Impact of a diabetes disease management program on guideline-adherent care, hospitalization risk and healthcare costs: A propensity score matching study using real-world data. European Journal of Health Economics, 24(3), 469–478. https://doi.org/10.1007/s10198-022-01486-2
Instituto Nacional de Estadística, Geografía e Informática (INEGI). (2023, September 4). Estadísticas de mortalidad en México. https://www.inegi.org.mx/app/areasgeograficas/#tabMCcollapse-Indicadores
Junior, Á., Rolon, C., Palacios Alvarado, W., Vladimir, M., & Perez, D. (2022). Industry 4.0 in modern patient management. Webology, 19(6), 1–9. https://orcid.org/0000-0002-3651-3364
Korsah, K. A., Abdulai, E., Dzansi, G., & Gamor, N. (2023). Perception of nurses on the use of mobile phone text messaging for the management of diabetes mellitus in rural Ghana. Nursing Open, 10(5), 3415–3423. https://doi.org/10.1002/nop2.1596
Martínez-Portilla, R. J., Medina-Jiménez, V., Cruz-Rodríguez, I. V., Reyes-Muñoz, E., Chinolla-Arellano, Z. L., & Galeana-Corrales, E. (2022). Recommendations for continuous glucose monitoring in pregnant patients with type 1, 2, and gestational diabetes mellitus. Ginecología y Obstetricia de México, 90(9), 756–768. https://doi.org/10.24245/gom.v90i9.7850
Martínez, S., Falcón, V., del Río, V., Mercedes, M., & Martínez, G. (2022). Risk factors associated with Type 2 Diabetes Mellitus in older adults. Archivos Venezolanos de Farmacología y Terapéutica, 41(8), 564–567. https://doi.org/10.5281/zenodo.7442959
Materia, F. T., Smyth, J. M., Puoane, T., Tsolekile, L., Goggin, K., Kodish, S. R., Fox, A. T., Resnicow, K., Werntz, S., & Catley, D. (2023). Implementing text-messaging to support and enhance delivery of health behavior change interventions in low- to middle-income countries: Case study of the Lifestyle Africa intervention. BMC Public Health, 23(1), 1526. https://doi.org/10.1186/s12889-023-16388-y
Mejía, J. A., Oviedo-Benalcázar, M. A., Ordoñez, J. A., & Valencia, J. F. (2023). Machine learning applied to the prediction of diabetes mellitus, using socioeconomic and environmental information from health system users. Revista Facultad Nacional de Salud Pública, 41(2). https://doi.org/10.17533/udea.rfnsp.e351168
Nourani, A., Ayatollahi, H., & Solaymani-Dodaran, M. (2023). Data management system for diabetes clinical trials: A pre-post evaluation study. BMC Medical Informatics and Decision Making, 23(1). https://doi.org/10.1186/s12911-023-02110-w
Ong, C. Y., Lee, W. C. D., Low, S. G., Low, L. L., & Vasanwala, F. F. (2023). Attitudes and perceptions of people with diabetes mellitus on patient self-management in diabetes mellitus: A Singapore hospital’s perspective. Singapore Medical Journal, 6(7), 464–467.
Organización Mundial de la Salud. (2023, September 22). Diabetes. https://www.who.int/health-topics/diabetes#tab=tab_1
Orlova, I. A., Akopyan, Z. A., Plisyuk, A. G., Tarasova, E. V., Borisov, E. N., Dolgushin, G. O., Khvatova, E. I., Grigoryan, M. A., Gabbasova, L. A., & Kamalov, A. A. (2023). Opinion research among Russian physicians on the application of technologies using artificial intelligence in the field of medicine and health care. BMC Health Services Research, 23(1), 749. https://doi.org/10.1186/s12913-023-09493-6
Pérez-Lozano, D. L., Camarillo-Nava, V. M., Juárez-Zepeda, T. E., Andrade-Pineda, J. E., Lucho-Gutiérrez, Z. M., Reyes-Pacheco, J. A., Pérez-López, D., & Carmona-Aparicio, L. (2023). Costo-efectividad del tratamiento de diabetes en México. Revista Médica del Instituto Mexicano del Seguro Social, 61(2), 172–180. http://revistamedica.imss.gob.mx/
Picó-Guzmán, F. J., Martínez-Montañez, O. G., Ruelas-Barajas, E., & Hernández-Ávila, M. (2022). Estimación del impacto económico por complicaciones cardiovasculares y de diabetes mellitus 2019-2028. Revista Médica del Instituto Mexicano del Seguro Social, 60(2), 86–95.
Román, D. de L., Vallo, F. G., Gómez, J. C., Gómez, J. J. L., Santabalbina, F. J. T., Rolo, G. G., Almeida, J. M. G., & Paris, A. S. (2023). Decreased muscle mass in type-2 diabetes: A hidden comorbidity to consider. Nutrición Hospitalaria, 40(1), 59–66. https://doi.org/10.20960/nh.04468
Sivakumar, A., Pan, R. Y., Wang, A., Choi, D., Charif, A. Ben, Kastner, M., Légaré, F., & Yu, C. H. (2023). Assessing the sustainability and scalability of a diabetes eHealth innovation: A mixed-methods study. BMC Health Services Research, 23(1). https://doi.org/10.1186/s12913-023-09618-x
Varkevisser, R. D. M., Birnie, E., Mul, D., van Dijk, P. R., Aanstoot, H. J., Wolffenbuttel, B. H. R., & van der Klauw, M. M. (2023). Type 1 diabetes management: Room for improvement. Journal of Diabetes, 15(3), 255–263. https://doi.org/10.1111/1753-0407.13368
Vera González, M., Rodríguez Sánchez, R., & García Sáez, J. (2023). Desastres naturales y diabetes: Prevención de las consecuencias. Revista Cubana de Salud Pública, 49(1), 1–19.
Wan, T. T. H. (2022). Convergence of artificial intelligence research in healthcare: Trends and approaches. Journal of Integrated Design and Process Science, 1–15. https://doi.org/10.3233/jid-200002
Weißenfeld, M. M., Goetz, K., & Steinhäuser, J. (2021). Facilitators and barriers for the implementation of telemedicine from a local government point of view - A cross-sectional survey in Germany. BMC Health Services Research, 21(1). https://doi.org/10.1186/s12913-021-06929-9
Winkley, K., Sorsa, T., Tian, Q., Reece, I., Fitzgerald, C., Chamley, M., Ismail, K., Forbes, A., & Upsher, R. (2023). The diabetes insulin self-management education (DIME) intervention for people with type 2 diabetes starting insulin: A pilot feasibility randomized controlled trial. Pilot and Feasibility Studies, 9(1). https://doi.org/10.1186/s40814-023-01318-x
Zepeda Ibarra, A., Castañeda Borrayo, Y., Rodríguez Anaya, J., Sánchez López, A. R., Ríos Rodríguez, S. J., & Gutiérrez Cueva, R. (2022). Años de vida productiva perdidos por invalidez por diabetes mellitus. Revista Cubana de Salud Pública, 48(3), 1–20.
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