Datasets

URI permanente para esta colecciónhttps://hdl.handle.net/10953/817

Examinar

Mostrando 1 - 7 de 7

Avances en la evaluación de la piel periestomal en personas con ostomía digestiva de eliminación. Utilización de modelos de Inteligencia Artificial (EPPIA).
(2025-07-15) López-Medina, Isabel María; Pérez-Godoy, María Dolores; Álvarez-Nieto, Carmen; Hueso, César; Capilla, Concepción; Montesinos, Ana Carmen; Moya-Muñoz, Noelia; García-Fernández, Francisco Pedro; Charte, Francisco; Pérez-Jiménez, Claudia; Mora-Artacho, María José; Morales-Ventura, Encarnación; Marí-Vidal, María Carmen; Belinchón, Gema; Marzal-Rodríguez, Julia; Rodríguez-Castellano, Paz; Alba-Fernández, Carmen María; López-Nogues, María; Jiménez-López, Isabel; de-la-Villa, María; Rodríguez-Izquierdo, María Rosario; Olivero-Corral, María Silvia; Bienvenido, María Paz; Hoyo, María Araceli; Rivas-Molina, María Carmen; de-la-Luz, Mayra; Molina-Navarrete, Encarnación; Jurado-Millán, Lucas; Lacasa, Encarnación; López-Megías, Patricia; Coca, Mercedes; Fernández-Gálvez, Antonio José; Espejo-Lunar, Esperanza; Ordoñez, Trinidad; Cabrera-López, Montserrat
El avance en la evaluación de la piel periestomal en individuos con ostomía digestiva de eliminación es esencial para mejorar la calidad de vida de los pacientes. El propósito de este proyecto es avanzar en la evaluación de la piel periestomal mediante la aplicación de modelos de Inteligencia Artificial. Se busca desarrollar un sistema innovador y fiable que utilice la Inteligencia Artifical para analizar datos visuales, permitiendo una detección temprana de complicaciones en la piel de estos pacientes. Adicionalmente se pretende analizar los principales factores de riesgo asociados a las lesiones y complicaciones de esta piel. Este proyecto consta de dos fases: recolección y etiquetado de datos para modelos de Inteligencia Artifical, y análisis epidemiológico simultáneo para identificación de factores de riesgo asociados a complicaciones de la piel periestomal.
Base de datos artículo-Perceptions and concerns about sustainable healthcare of nursing students trained in sustainability and health: A cohort study.
(2022-07) Álvarez-Nieto, Carmen; López-Medina, Isabel María; Álvarez-Nieto, Carmen
Creation and psychometric validation of the OPEH-NCQ (Older people’s Environmental Health-Nursing Competencies Questionnaire) in professionals and nursing students.
(2024) Montoro-Ramírez, Eva María; Parra-Anguita, Laura; Álvarez-Nieto, Carmen; López-Medina, Isabel María; Montoro-Ramírez, Eva María
Database used for validation of the OPEH-NCQ (Older People's Environmental Health- Nursing Competencies Questionnaire)
Datos PID Uso y efectividad de la simulación clínica avanzada y con Realidad Virtual inmersiva en la adquisición de competencias enfermeras.
(2025-02-10) López-Medina, Isabel María; Álvarez-Nieto, Carmen
Environmental awareness and sustainable behaviors of healthcare professionals: validation of the healthcare environmental awareness tool (HEAT)
(2024) Olivieri, Romina Patricia; López-Medina, Isabel María; Álvarez-Nieto, Carmen; López-Medina, Isabel María; Álvarez-Nieto, Carmen
Background Climate change poses a significant challenge to public health, requiring healthcare personnel to recognize their responsibility and adopt environmentally responsible behaviors. The aim of this study was to conduct a cultural adaptation and psychometric validation of the Healthcare Environmental Awareness Tool (HEAT) to assess the level of environmental awareness, sustainable behaviors, and their relationship to healthcare professionals' health in Spain. Methods A cross-sectional observational study was conducted to translate, adapt, and validate the HEAT questionnaire for the Spanish context. The sample comprised 450 healthcare professionals from 9 Spanish hospitals. The HEAT questionnaire was validated using item response theory, specifically through the polytomous Rasch model. It is organized into three main scales: HAS (Healthcare Awareness Scale), HPEB (Healthcare Professional Ecological Behavior Scale), and PEB (Personal Ecological Behavior Scale). Each scale includes two dimensions per item derived from paired questions. The first dimension addresses the specific topic of the scale, while the second focuses on the respondent’s belief about how environmental impacts affect human health. Results The HEAT questionnaire, initially comprising 62 items, was refined to a final version of 50 items. This version demonstrated robust reliability and validity, with satisfactory fit for both items and persons. Reliability indices were: HAS-1 (0.76 for persons, 0.98 for items), HAS-2 (0.82, 0.96), HPEB-1 (0.77, 0.99), HPEB-2 (0.79, 0.94), PEB-1 (0.83, 0.99), and PEB-2 (0.87, 0.97). Internal consistency, measured using Cronbach’s α and McDonald’s ω, yielded strong results: HAS-1 (0.79), HAS-2 (0.90), HPEB-1 (0.75), HPEB-2 (0.87), PEB-1 (0.81), and PEB-2 (0.92). No significant group differences were observed, confirming the instrument’s fairness in differential item analysis. Conclusions The HEAT questionnaire is a useful and accurate tool for measuring environmental awareness, sustainable behaviors, and perceived health impacts among healthcare professionals.
Nursing students' attitudes towards climate change and sustainability: A cross-sectional multisite study.
(2022-01) Álvarez-Nieto, Carmen; Richardson, Janet; Navarro-Perán, María Ángeles; Tuttici, Naomi; Huss, Norma May; Elf, Marie; Anåker, Anna; Aronsson, Jennie; Baid, Heather; López-Medina, Isabel María
Background: Education is a social tipping intervention necessary for stabilising the earth's climate by 2050. Integrating sustainable healthcare into healthcare professions curricula is a key action to raise awareness. Objectives: This study aimed to: i) investigate nursing students' attitudes towards and awareness of climate change and sustainability issues and its inclusion in nurse education, ii) explore differences across a range of countries, and iii) compare attitudes in 2019 with those of a similar sample in 2014. Design: A cross-sectional multicentre study. Data were collected through the Sustainability Attitudes in Nursing Survey (SANS_2) questionnaire. Settings: Seven different universities and schools of nursing in five countries (UK, Spain, Germany, Sweden, and Australia). Participants: A convenience sample of first-year undergraduate nursing students. Methods: The SANS_2 questionnaire was self-administered by nursing students at the seven participating universities at the start of their undergraduate degree, between September 2019 and February 2020. Results: Participants from all seven universities (N = 846) consistently showed awareness and held positive attitudes towards the inclusion of climate change and sustainability issues in the nursing curriculum (M = 5.472; SD: 1.05; min-max 1-6). The relevance of climate change and sustainability to nursing were the highest scored items. Esslingen-Tübingen students scored the highest in the 'inclusion of climate change and sustainability in the nursing curricula'. Students at all universities applied the principles of sustainability to a significant extent at home. Nursing students' attitudes towards climate change and sustainability showed significantly higher values in 2019 (Universities of Plymouth, Brighton, Esslingen-Tübingen, Jaen, Murcia, Dalarna, and Queensland) than in 2014 (universities of Plymouth, Jaen, Esslingen, and Switzerland). Conclusions: Nursing students have increasingly positive attitudes towards the inclusion of sustainability and climate change in their nursing curriculum. They also recognise the importance of education regarding sustainability and the impact of climate change on health, supporting formal preparation for environmental literacy. It is time to act on this positive trend in nursing students' attitudes by integrating these competencies into nursing curricula.
Plan de Gestión de Datos-EPPIA
(2024) López-Medina, Isabel María; Pérez-Godoy, María Dolores; Hueso, César; Álvarez-Nieto, Carmen; Charte, Francisco; García-Fernández, Francisco Pedro; Capilla, Concepción; Moya-Muñoz, Noelia; Montesinos, Ana Carmen
Este plan describe la gestión de los datos que se crearán en el proyecto EPPIA , su tratamiento conservación. Los datos del proyecto serán FAIR (Findable, Accessible, Interoperable and Reusa-ble). La protección de los datos se garantizará de acuerdo con las normas institucionales.

RUJA: Repositorio Institucional de Producción Científica

Examinar

Examinando Datasets por Autor "Álvarez-Nieto, Carmen"