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<dim:field authority="f65240dd-0245-4fcd-9211-d73d036da217" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Mira Martínez, Sofía</dim:field>
<dim:field authority="fd00d3dc-ef50-4954-ad2f-9e910484332f" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Zamanillo, Rocío</dim:field>
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<dim:field authority="cc892f14-d5cf-430a-886a-a165f8a8d598" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Fiol deRoque, María Antonia</dim:field>
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<dim:field authority="653ED04D-C6C0-4ABE-96EC-29EAA4F88222" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Jiménez, Rafael</dim:field>
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<dim:field authority="c88d083d-243f-4d11-a705-8a4076098c37" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">García Toro, Mauro</dim:field>
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<dim:field authority="e68fecca-013f-482c-bc15-566bd0e41365" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Vicens, Catalina</dim:field>
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<dim:field authority="8e0127f7-64ed-4ec2-ab53-416a57288740" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Montaño, Juan José</dim:field>
<dim:field authority="0000-0001-5041-0778" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Colom Fernández, Antoni</dim:field>
<dim:field element="date" qualifier="accessioned" mdschema="dc">2025-11-13T07:33:53Z</dim:field>
<dim:field element="date" qualifier="available" mdschema="dc">2025-11-13T07:33:53Z</dim:field>
<dim:field element="date" qualifier="issued" language="es_ES" mdschema="dc">2025-03-31</dim:field>
<dim:field element="identifier" qualifier="issn" language="es_ES" mdschema="dc">1664-2392</dim:field>
<dim:field element="identifier" qualifier="uri" language="es_ES" mdschema="dc">https://doi.org/10.3389/fendo.2025.1524336</dim:field>
<dim:field element="description" language="es_ES" mdschema="dc">Artículos en revistas</dim:field>
<dim:field element="description" qualifier="abstract" language="es-ES" mdschema="dc">Introducción: i) describir PREDIABETEXT, una novedosa intervención digital para la&#13;
prevención de la diabetes tipo 2; ii) examinar el desempeño de una estrategia para el&#13;
reclutamiento virtual de participantes en un ensayo clínico con el fin de evaluar su impacto; y iii) determinar las características basales de los participantes inscritos.&#13;
&#13;
Métodos: Desarrollamos PREDIABETEXT mediante un proceso en varias etapas que incluyó&#13;
revisiones sistemáticas de la literatura e investigación cualitativa con usuarios finales (pacientes y profesionales de atención primaria). Combinamos diversas estrategias virtuales (SMS, llamadas telefónicas, vídeos promocionales) para reclutar a profesionales sanitarios y a sus pacientes. Recopilamos datos basales de pacientes (sociodemográficos, conductuales y clínicos) y de profesionales sanitarios (sociodemográficos y de experiencia profesional).&#13;
Resultados: La intervención consistió en enviar mensajes de texto breves y personalizados&#13;
para fomentar cambios en el estilo de vida de personas con riesgo de diabetes tipo 2&#13;
y capacitación en línea a sus profesionales de atención primaria. Se reclutaron 58 de 133 (43,6 %) profesionales (30 médicos y 28 enfermeros) de 16 centros.&#13;
&#13;
La mayoría de los profesionales (83 %) eran mujeres [edad media (DE) 49,69 (10,15)]. Se reclutaron 365 de 976 (37,4 %) pacientes (54,5 % mujeres, 59,82 (9,77) años).&#13;
&#13;
Aproximadamente la mitad (55,3 %) presentaba obesidad (IMC ≥25), el 65 % hipertensión, el 43,3 %&#13;
hipercolesterolemia y el 14,8 % hipertrigliceridemia.&#13;
&#13;
Conclusiones: El ensayo PREDIABETEX logró reclutar con éxito una muestra representativa de pacientes con riesgo de diabetes tipo 2 y de sus profesionales sanitarios.</dim:field>
<dim:field element="description" qualifier="abstract" language="en-GB" mdschema="dc">Introduction: i) to describe PREDIABETEXT, a novel digital intervention for the&#13;
prevention of type 2 diabetes; ii) to examine the performance of a strategy for&#13;
virtual recruitment of participants in a trial to assess its impact, and; iii) to&#13;
determine the baseline characteristics of the enrolled participants.&#13;
Methods: We developed PREDIABETEXT in a multistage process involving&#13;
systematic literature reviews and qualitative research with end users (primary&#13;
care patients and professionals). We combined multiple virtual strategies (SMS,&#13;
phone calls, promotional videos) to recruit healthcare professionals and their&#13;
patients. We collected baseline data from patients (sociodemographic,&#13;
behavioral and clinical) and healthcare professionals (sociodemographic and&#13;
professional experience).&#13;
Results: The intervention consisted in delivering personalized short text&#13;
messages supporting lifestyle behavior changes to people at risk of type 2&#13;
diabetes; and online training to their primary healthcare professionals. We&#13;
recruited 58/133 (43.6%) professionals (30 doctors; 28 nurses) from 16 centers.&#13;
Most professionals (83%) were women [mean (SD) age 49.69 (10.15)]. We&#13;
recruited 365/976 (37.4%) patients (54.5% women, 59.82 (9.77) years old.&#13;
Around half (55.3%) presented obesity (BMI ≥25), 65% hypertension, 43.3%&#13;
hypercholesterolemia, and 14.8% hypertriglyceridemia.&#13;
Conclusions: The PREDIABETEX trial successfully recruited a representative&#13;
sample of patients at risk of type 2 diabetes and their healthcare providers.</dim:field>
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<dim:field element="rights" language="es_ES" mdschema="dc">Creative Commons Reconocimiento-NoComercial-SinObraDerivada España</dim:field>
<dim:field element="rights" qualifier="uri" language="es_ES" mdschema="dc">http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dim:field>
<dim:field element="source" language="es_ES" mdschema="dc">Revista: Frontiers in Endocrinology, Periodo: 1, Volumen: 16, Número: , Página inicial: 1, Página final: 12</dim:field>
<dim:field element="title" language="es_ES" mdschema="dc">Describing the initial results of a pragmatic, cluster randomized clinical trial to examine the impact of a multifaceted digital intervention for the prevention of type 2 diabetes mellitus in the primary care setting: intervention design, recruitment stra</dim:field>
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<dim:field element="rights" qualifier="accessRights" language="es_ES" mdschema="dc">info:eu-repo/semantics/openAccess</dim:field>
<dim:field element="keywords" language="es-ES" mdschema="dc">Estado prediabético, servicios de salud preventivos, ensayo clínico, atención primaria de salud, reclutamiento de pacientes.</dim:field>
<dim:field element="keywords" language="en-GB" mdschema="dc">Prediabetic state, preventive health services, clinical trial, primary health care, patient recruitment.</dim:field>
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