It is common in many fields to be interested in the evaluation of the impact of an intervention over a particular phenomenon. In the context of classical time series analysis, a possible choice might ...be intervention analysis, but there is no analogous methodology developed for low-count time series. In this article, we propose a modified INAR model that allows us to quantify the effect of an intervention, and is also capable of taking into account possible trends or seasonal behaviour. Several examples of application in different real and simulated contexts will also be discussed.
Introducción: Basar procesos de toma de decisiones en datos que contienen errores e imprecisiones es inevitable en muchos de contextos por diferentes razones. La situación derivada de la pandemia ...mundial de COVID-19 es un claro ejemplo, donde los datos proporcionados por fuentes oficiales no siempre fueron fiables debido a problemas de recopilación de datos y a la alta proporción de casos asintomáticos. Objetivos: Cuantificar la gravedad de la información errónea en una serie temporal y reconstruir la evolución más probable del proceso, así como una discusión sobre los métodos estadísticos más adecuados para obtener predicciones en este contexto. Métodos: Se propone el uso de un modelo autoregresivo con heterocedasticidad condicional y estimación de los parámetros mediante Bayesian synthetic likelihood. Resultados: Solo alrededor del 51% de los casos de COVID-19 en el período 23 de febrero de 2020 al 27 de febrero de 2022 se notificaron en España, observándose también diferencias relevantes en la intensidad del subregistro entre comunidades autónomas. Conclusión: La metodología propuesta proporciona a los tomadores de decisiones en salud pública una valiosa herramienta para mejorar la evaluación de la evolución de una enfermedad bajo diferentes escenarios, ya que permite generar predicciones realistas en este contexto.
To evaluate nursing students' satisfaction with Expert Patient Illness Narratives as a teaching and learning methodology based on patient involvement.
Mixed methods were used in this study: online ...survey with quantitative and qualitative items designed by researchers.
Sixty-four nursing students of the Universitat Autònoma de Barcelona, attending a Medical Anthropology elective course.
Women more frequently considered that the new learning methodology was useful in developing the competency “to reason to reason the presence of the triad Health-Illness-Care in all the groups, societies and historical moments” (p-value=0.02) and in that it was consolidated as a learning outcome (p-value=0.022). On the other hand, men considered that this methodology facilitated the development of critical thinking (p=0.01) and the ability to identify normalized or deviant care situations (p=0.007). Students recognized the value of Expert Patient Illness Narratives in their nursing training as a way to acquire new nursing skills and broaden previously acquired knowledge. This educational innovation improved nursing skills and provided a different and richer perspective of humanization of care.
The results of the present study demonstrate that nursing students found Expert Patient Illness Narratives satisfactory as a learning and teaching methodology, and reported improvement in different areas of their training and also the integration of new knowledge, meaning, theory applicability, as well las critical and reflective thinking. Involvement of patients as storytellers also provides a new humanizing perspective of care. Nonetheless, further studies of Expert Patient Illness Narratives are needed in order to improve its benefits as a teaching and learning methodology.
•Expert Patient Illness Narratives (EPIN) is a suitable way to involve patients in nursing education.•EPIN is comprehensive method to help students to apply theoretical knowledge into practice.•EPIN is a satisfactory method to promote humanized care among nursing students.•EPIN is a helpful intervention to help nursing students to develop empathy•Gender, prior hospitalization and professional background influence the learning results
Those working in interventional cardiology and related medical procedures are potentially subject to considerable exposure to x-rays. Two types of tissue of particular concern that may receive ...considerable doses during such procedures are the lens of the eye and the brain. Ocular radiation exposure results in lens changes that, with time, may progress to partial or total lens opacification (cataracts). In the early stages, such opacities do not result in visual disability; the severity of such changes tends to increase progressively with dose and time until vision is impaired and cataract surgery is required. Scattered radiation doses to the eye lens of an interventional cardiologist in typical working conditions can exceed 34 μGy min
in high-dose fluoroscopy modes and 3 μGy per image during image acquisition (instantaneous rate values) when radiation protection tools are not used. A causal relation between exposure to ionising radiation and increased risk of brain and central nervous system tumours has been shown in a number of studies. Although absorbed doses to the brain in interventional cardiology procedures are lower than those to the eye lens by a factor between 3.40 and 8.08 according to our simulations, doses to both tissues are among the highest occupational radiation doses documented for medical staff whose work involves exposures to x-rays. We present InterCardioRisk, a tool featuring an easy-to-use web interface that provides a general estimation of both cumulated absorbed doses experienced by medical staff exposed in the interventional cardiology setting and their estimated associated health risks. The tool is available at http://intercardiorisk.creal.cat.
To estimate occupational exposures to electromagnetic fields (EMF) for the INTEROCC study, a database of source-based measurements extracted from published and unpublished literature resources had ...been previously constructed. The aim of the current work was to summarize these measurements into a source-exposure matrix (SEM), accounting for their quality and relevance. A novel methodology for combining available measurements was developed, based on order statistics and log-normal distribution characteristics. Arithmetic and geometric means, and estimates of variability and maximum exposure were calculated by EMF source, frequency band and dosimetry type. The mean estimates were weighted by our confidence in the pooled measurements. The SEM contains confidence-weighted mean and maximum estimates for 312 EMF exposure sources (from 0 Hz to 300 GHz). Operator position geometric mean electric field levels for radiofrequency (RF) sources ranged between 0.8 V/m (plasma etcher) and 320 V/m (RF sealer), while magnetic fields ranged from 0.02 A/m (speed radar) to 0.6 A/m (microwave heating). For extremely low frequency sources, electric fields ranged between 0.2 V/m (electric forklift) and 11,700 V/m (high-voltage transmission line-hotsticks), whereas magnetic fields ranged between 0.14 μT (visual display terminals) and 17 μT (tungsten inert gas welding). The methodology developed allowed the construction of the first EMF-SEM and may be used to summarize similar exposure data for other physical or chemical agents.
Objectives To assess the reproducibility of an educational intervention EdAl-2 (Educació en Alimentació) programme in ‘Terres de l'Ebre’ (Spain), over 22 months, to improve lifestyles, including diet ...and physical activity (PA). Design Reproduction of a cluster randomised controlled trial. Setting Two semi-rural town-group primary-school clusters were randomly assigned to the intervention or control group. Participants Pupils (n=690) of whom 320 constituted the intervention group (1 cluster) and 370 constituted the control group (1 cluster). Ethnicity was 78% Western European. The mean age (±SD) was 8.04±0.6 years (47.7% females) at baseline. Inclusion criteria for clusters were towns from the southern part of Catalonia having a minimum of 500 children aged 7–8 year; complete data for participants, including name, gender, date and place of birth, and written informed consent from parents or guardians. Intervention The intervention focused on eight lifestyle topics covered in 12 activities (1 h/activity/session) implemented by health promoting agents in the primary school over three academic years. Primary and secondary outcomes The primary outcome was obesity (OB) prevalence and the secondary outcomes were body mass index (BMI) collected every year and dietary habits and lifestyles collected by questionnaires filled in by parents at baseline and end-of-study. Results At 22 months, the OB prevalence and BMI values were similar in intervention and control groups. Relative to children in control schools, the percentage of boys in the intervention group who performed ≥4 after-school PA h/week was 15% higher (p=0.027), whereas the percentage of girls in both groups remained similar. Also, 16.6% more boys in the intervention group watched ≤2 television (TV) h/day (p=0.009), compared to controls; and no changes were observed in girls in both groups. Conclusions Our school-based intervention is feasible and reproducible by increasing after-school PA (to ≥4 h/week) in boys. Despite this improvement, there was no change in BMI and prevalence of OB. Trial registration number: Clinical Trials NCT01362023.
The Bayesian framework has been shown to be very useful in cytogenetic dose estimation. This approach allows description of the probability of an event in terms of previous knowledge, e.g. its ...expectation and/or its uncertainty. A new R package entitled radir (radiation inverse regression) has been implemented with the aim of reproducing a recent Bayesian-type dose estimation methodology. radir adopts the method of dose estimation under the Poisson assumption of the responses (the chromosomal aberrations counts) for the required dose-response curve (typically linear or quadratic). The individual commands are described in detail and relevant examples of the use of the methods and the corresponding radir software tools are given. The suitability of this methodology is highlighted and its application encouraged by providing a user-friendly command-type software interface within the R statistical software (version 3.1.1 or higher), which includes a complete manual.
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