9 results on '"San Jose‐Saras, Diego"'
Search Results
2. Inappropriate hospital admission as a risk factor for the subsequent development of adverse events: a cross-sectional study
- Author
-
San Jose-Saras, Diego, Vicente-Guijarro, Jorge, Sousa, Paulo, Moreno-Nunez, Paloma, and Aranaz-Andres, Jesús María
- Published
- 2023
- Full Text
- View/download PDF
3. Mascarillas como equipo de protección individual durante la pandemia de COVID-19: cómo, cuándo y cuáles deben utilizarse
- Author
-
María Aranaz Andrés, Jesús, Bolúmar Montrull, Francisco, Lorenzo Valencia Martín, José, Bischofberger Valdés, Cornelia, Díaz-Agero Pérez, Cristina, Lourdes Rincón Carlavilla, Ángela, McGee Laso, Amaranta, Miranda Cortés, Juan, Romaní Vidal, Adriana, Serrano Pareja, Manuela, Moreno Núñez, Paloma, de Vicente Guijarro, Jorge, González Touya, Marta, Pérez González, Andrés, David Espejo Mambie, Moisés, San José Saras, Diego, González Muñoz, Alberto, Alía Herrero, Jessica, Viñambres Álvarez, Laura, de la Hoz San Clemente, Sara, Jiménez Corregidor, Alejandro, Carlos Peña Hernández, Juan, García Haro, Mercedes, Carlos Torres Robles, José, Fabregate Fuente, Martín, Bara Ledesma, Nuria, Cantón Moreno, Rafael, Carlos Galán Montemayor, Juan, Ruíz Garbajosa, Patricia, José Rodríguez Domínguez, Mario, Martínez García, Laura, Jiménez Castro, David, Cortés Valdés, Adela, Manuel Ramos López, Juan, Gómez Montero, Gerardo, Aranaz Andrés, Jesús M., Gea Velázquez de Castro, M. Teresa, Vicente-Guijarro, Jorge, Beltrán Peribáñez, Joaquín, and Valencia-Martín, José Lorenzo
- Published
- 2020
- Full Text
- View/download PDF
4. Inappropriate hospitalization: Measurement approaches
- Author
-
Vicente-Guijarro, Jorge, San Jose-Saras, Diego, and Aranaz-Andres, Jesús María
- Published
- 2024
- Full Text
- View/download PDF
5. Adverse events: an expensive and avoidable hospital problem
- Author
-
San Jose-Saras, Diego, primary, Valencia-Martín, José L., additional, Vicente-Guijarro, Jorge, additional, Moreno-Nunez, Paloma, additional, Pardo-Hernández, Alberto, additional, and Aranaz-Andres, Jesús M., additional
- Published
- 2022
- Full Text
- View/download PDF
6. Impact of the COVID-19 Pandemic on Inappropriate Use of the Emergency Department.
- Author
-
Fernández Chávez, Abelardo Claudio, Aranaz-Andrés, Jesús María, Roncal-Redin, Miriam, Roldán Moll, Fernando, Estévez Rueda, María Jesús, Alva García, Patricia, Aranda García, Yolanda, and San Jose-Saras, Diego
- Subjects
HOSPITAL emergency services ,COVID-19 pandemic ,PHYSICIAN practice patterns ,BIVARIATE analysis ,CONFOUNDING variables ,LOGISTIC regression analysis ,REGRESSION analysis - Abstract
Background: Inappropriate use of the emergency department (IEDU)—consisting of the unnecessary use of the resource by patients with no clinical need—is one of the leading causes of the loss of efficiency of the health system. Specific contexts modify routine clinical practice and usage patterns. This study aims to analyse the influence of COVID-19 on the IEDU and its causes. Methods: A retrospective, cross-sectional study conducted in the emergency department of a high-complexity hospital. The Hospital Emergency Suitability Protocol (HESP) was used to measure the prevalence of IEDU and its causes, comparing three pairs of periods: (1) March 2019 and 2020; (2) June 2019 and 2020; and (3) September 2019 and 2020. A bivariate analysis and multivariate logistic regression models, adjusted for confounding variables, were utilized. Results: In total, 822 emergency visits were included (137 per period). A total prevalence of IEDU of 14.1% was found. There was a significant decrease in IEDU in March 2020 (OR: 0.03), with a prevalence of 0.8%. No differences were found in the other periods. A mistrust in primary care was the leading cause of IEDU (65.1%). Conclusions: The impact of COVID-19 reduced the frequency of IEDU during the period of more significant population restrictions, with IEDU returning to previous levels in subsequent months. Targeted actions in the field of population education and an improvement in primary care are positioned as strategies that could mitigate its impact. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
7. Prevalence, characteristics, and impact of adverse events in 34 Madrid hospitals. The ESHMAD study.
- Author
-
Valencia‐Martín, José L., Vicente‐Guijarro, Jorge, San Jose‐Saras, Diego, Moreno‐Nunez, Paloma, Pardo‐Hernández, Alberto, Aranaz‐Andrés, Jesús María, Colomer Rosas, Asunción, Mediavilla Herrera, Inmaculada, Esteban Niveiro, Mª. José, López Fresneña, Nieves, Díaz‐Agero Pérez, Cristina, Ruiz Lopez, Pedro, Carrasco Gonzalez, Isabel, Navarro Royo, Cristina, Albéniz Lizarraga, Carmen, Villan Villan, Yuri Fabiola, Alguacil Pau, Ana Isabel, Díaz Redondo, Alicia, Plá Mestre, Rosa, and Martín Ríos, Dolores
- Subjects
INTENSIVE care units ,PUBLIC hospitals ,HOSPITALS ,LOGISTIC regression analysis ,PATIENT safety - Abstract
Introduction: Adverse Events (AE) are one of the main problems in healthcare. Therefore, many policies have been developed worldwide to mitigate their impact. The Patient Safety Incident Study in Hospitals in the Community of Madrid (ESHMAD) measures the results of them in the region. Methods: Cross‐sectional study, conducted in May 2019, in hospitalised patients in 34 public hospitals using the Harvard Medical Practice Study methodology. A logistic regression model was carried out to study the association of the variables with the presence of AE, calibrated and adjusted by patient. Results: A total of 9975 patients were included, estimating a prevalence of AE of 11.9%. A higher risk of AE was observed in patients with surgical procedures (OR[CI95%]: 2.15[1.79 to 2.57], vs. absence), in Intensive Care Units (OR[CI95%]: 1.60[1.17 to 2.17], vs. Medical) and in hospitals of medium complexity (OR[CI95%]: 1.45[1.12 to 1.87], vs. low complexity). A 62.6% of AE increased the length of the stay or it was the cause of admission, and 46.9% of AE were considered preventable. In 11.5% of patients with AE, they had contributed to their death. Conclusions: The prevalence of AE remains similar to the previously estimated one in studies developed with the same methodology. AE keep leading to longer hospital stays, contributing to patient's death, showing that it is necessary to put focus on patient safety again. A detailed analysis of these events has enabled the detection of specific areas for improvement according to the type of care, centre and patient. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
8. How Does Vaccination against SARS-CoV-2 Affect Hospitalized Patients with COVID-19?
- Author
-
Moreno-Nunez, Paloma, Bueno-Cavanillas, Aurora, San Jose-Saras, Diego, Vicente-Guijarro, Jorge, Fernández Chávez, Abelardo Claudio, and Aranaz-Andrés, Jesús María
- Subjects
COVID-19 ,HOSPITAL patients ,SARS-CoV-2 ,VACCINATION ,VACCINATION status - Abstract
(1) Background: The development of effective COVID-19 vaccines has reduced the impact of COVID-19 on the general population. Our study aims to analyze how vaccination modifies the likelihood of death and length of stay in hospitalized patients with COVID-19; (2) Methods: A retrospective cohort study of 1927 hospitalized patients infected with COVID-19 was conducted. Information was gathered on vaccination status, hospitalization episode, and clinical profile of the patients. The effect of vaccination on mortality was analyzed using a multiple logistic regression model, and length of stay was analyzed using linear regression. The performance and fit of the models were evaluated; (3) Results: In hospitalized patients with COVID-19, the risk of dying during admission in vaccinated patients was half that of non-vaccinated (OR: 0.45; CI 95%: 0.25 to 0.84). In patients who were discharged due to improvement, the reduction in hospital stay in vaccinated patients was 3.17 days (CI 95%: 5.88 to 0.47); (4) Conclusions: Patients who, despite having been vaccinated, acquire the infection by SARS-CoV-2, have a significant reduction of the risk of death during admission and a reduction of hospital stay compared with unvaccinated patients. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
9. Frecuencia e impacto de eventos adversos en un hospital de tercer nivel. Estudio ESHMAD
- Author
-
San Jose-Saras, Diego and Valencia-Martín, José L
- Abstract
Trabajo Fin de Máster. Máster en Salud Pública. Curso 2019-2020 Introducción: los Eventos Adversos (EA) son uno de los principales problemas de la asistencia sanitaria, ya que derivada de ésta se produce un daño innecesario al paciente, físico y psicológico, que además genera sobrecostes al sistema sanitario. Objetivos: conocer la prevalencia de EA del Hospital Universitario Ramón y Cajal, así como sus características, impacto y evitabilidad, instaurando un sistema de vigilancia epidemiológica de EA en el Hospital. Materiales y métodos: se llevó a cabo un estudio transversal mediante la revisión de historias clínicas de todos los pacientes ingresados en mayo de 2019 en dos fases: una primera de cribado de EA, y una segunda, realizada un mes después, en el que se analizaban los cribados positivos y las consecuencias principales del evento. Resultados: la prevalencia de EA fue del 18,6% (Intervalo de confianza [IC] 95%: 15,8-21,8), siendo la prevalencia de pacientes con EA del 14,1% (IC95: 11,6-17,0%). El 68,6% de los EA fueron evitables. El tipo de EA más frecuente fue la infección relacionada con la asistencia sanitaria (45,5%), seguido de los problemas asociados a un procedimiento instrumental. La repercusión principal de los EA fue el aumento de la estancia hospitalaria (41,3%); por cada EA se ocasionaron una media de 17 días de ingreso adicionales en planta y de 2 días en cuidados intensivos, en total 2.073 y 206 días respectivamente en esta muestra. El 61,9% de EA generó incapacidad severa, el 57,8%, dolor moderado o severo y el 15,7%, trauma emocional moderado o severo. El 15,7% de los EA estuvo relacionado con el fallecimiento del paciente. El 86,8% de los registros clínicos tenía información suficiente para detectar los EA. Conclusión: el diseño transversal permite conocer de forma eficiente los problemas prevalentes de seguridad del paciente en un hospital de gran tamaño. Es. Los resultados de este estudio reflejan el gran impacto de los EA en la morbi-mortalidad de los pacientes afectados y en el incremento consecuente de la estancia hospitalaria. 1. Resumen. 2. Introducción. 3. Objetivos. 4. Material y métodos: Diseño: selección de muestra, variables de estudio, recogida de información y procedimiento: (anexo 1 y 2), análisis de datos. Resultados: Características de la muestra, Árbol de resultados y prevalencia, Origen y tipo de eventos adversos identificados (tabla 1 y tabla 2), Detectabilidad de eventos adversos, Impacto de los eventos adversos (tabla 3), Factores contribuyentes (tabla 4), Evitabilidad de los eventos adversos e incidentes. 6. Discusión: Limitaciones y fortalezas, Conclusiones. 7. Referencias bibliográficas. 8. Tablas y figuras. Anexo 1. Formulario de cribado. Anexo 2. formulario MRF-2. No
- Published
- 2020
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.