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Identification of e-young chronics through questionnaire
dc.contributor.author | Barajas Galindo, D. | |
dc.contributor.author | MARTINEZ PILLADO, MODESTO | |
dc.contributor.author | Ballesteros Pomar, M. | |
dc.contributor.author | Said Criado, Ismael | |
dc.contributor.author | Cano Rodríguez, I. | |
dc.date.accessioned | 2021-09-20T07:15:46Z | |
dc.date.available | 2021-09-20T07:15:46Z | |
dc.date.issued | 2021-06 | |
dc.identifier.citation | Barajas Galindo, D., Martinez Pillado, M., Ballesteros Pomar, M., Said Criado, I., & Cano Rodriguez, I. Identification of e-young chronics through questionnaire. The Official Journal of ATTD Advanced Technologies & Treatments for Diabetes Conference. 2021;23(Suppl 2):A130 | en |
dc.identifier.other | https://www.liebertpub.com/doi/10.1089/dia.2021.2525.abstracts | es |
dc.identifier.uri | http://hdl.handle.net/20.500.11940/15281 | |
dc.description.abstract | Background and Aims: Transforming the doctor-patient re lationship from analog to digital is no simple task and requires a great deal of courage and visionary leadership. The first step to do so is to identify the digital capabilities that the ultimate re cipient of every health system possesses: the patient. Methods: A scale questionnaire of 5 questions related to digital applications is carried out to patients under follow-up for type 1 diabetes mellitus, between 18–65 years old, who are prescribed the Abbott Freestyle Libre flash glucose monitoring device, which requires their connection to a mobile application (Libreview) by the user, for optimal use and communication of data with the healthcare professional electronically. Results: 62 patients were included.In the classification by predefined subgroups according to the questionnaire score, 35 patients (56.45%) were identified as having advanced training; 16 (25.81%) of basic training and 11 (17.74%) without digital training. 82.86% (29/35) of the patients predefined as highly qualified used the system adequately, compared to 43.75% (7/16) of those with low training and 0% (0/11) of patients without technological capabilities; p < 0.001. Conclusions: The coronavirus-19 pandemic has subjected our health services to a stress test like never before. In the current remote care scenario, we are presented with an opportunity (the great opportunity) to serve people immersed in the digital age. It would be bad news if after this pandemic, we returned to the starting box, the identification of those e-young and e-senior chronics patients is the first essential step to avoid it. Comunicación-póster presentada en: ATTD Advanced Technologies & Treatments for Diabetes Conference Online del 2 al 5 june 2021. | es |
dc.language.iso | eng | es |
dc.relation.isreferencedby | https://www.liebertpub.com/doi/10.1089/dia.2021.2525.abstracts | es |
dc.subject.mesh | Telemedicine | * |
dc.subject.mesh | Physicians, Primary Care | * |
dc.subject.mesh | Decision Support Techniques | * |
dc.subject.mesh | Health Maintenance Organizations | * |
dc.subject.mesh | Diabetes Mellitus | * |
dc.subject.mesh | Endocrinology | * |
dc.subject.mesh | Quality of Life | * |
dc.subject.mesh | Clinical Competence | * |
dc.title | Identification of e-young chronics through questionnaire | es |
dc.type | Publicación de congreso | es |
dc.event.title | ATTD Advanced Technologies & Treatments for Diabetes Conference | es |
dc.organization | Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Pontevedra e O Salnés - Complexo Hospitalario Universitario de Pontevedra::Calidad | es |
dc.place.realization | On line | es |
dc.rights.accessRights | embargoedAccess | es |
dc.subject.cie10 | Diabetes mellitus (E10-E14) | es |
dc.subject.decs | endocrinología | * |
dc.subject.decs | sistemas prepago de salud | * |
dc.subject.decs | médicos de atención primaria | * |
dc.subject.decs | competencia clínica | * |
dc.subject.decs | técnicas de apoyo en la toma de decisiones | * |
dc.subject.decs | calidad de vida | * |
dc.subject.decs | diabetes mellitus | * |
dc.subject.decs | telemedicina | * |
dc.subject.keyword | Internet de las cosas | es |
dc.subject.keyword | CHUP | es |
dc.subject.keyword | CHUVI | es |