Care for Chronic Patients in NHS: spatial-temporary evolution of potentially avoidable hospitalisations, by basic health area and health area. (Q3190836): Difference between revisions

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(‎Created claim: summary (P836): Introduction The study of potentially avoidable hospitalisations (HPE) has been adopted as a strategy to assess the quality and efficiency of care provided to chronic patients. In Spain, the existing evidence predates 2010, it is limited to the study of health areas (AS), not going deeper into the phenomena that occur in the basic health area (ZBS), and does not analyse concomitant temporal phenomena. Objective The purpose of the proposal is to...)
(‎Changed label, description and/or aliases in en: translated_label)
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Care for Chronic Patients in NHS: spatial-temporary evolution of potentially avoidable hospitalisations, by basic health area and health area.

Revision as of 21:18, 12 October 2021

Project Q3190836 in Spain
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English
Care for Chronic Patients in NHS: spatial-temporary evolution of potentially avoidable hospitalisations, by basic health area and health area.
Project Q3190836 in Spain

    Statements

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    48,000.0 Euro
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    96,000.0 Euro
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    50.0 percent
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    1 January 2015
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    30 September 2019
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    INSTITUTO ARAGONES DE CIENCIAS DE LA SALUD
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    41°39'7.67"N, 0°52'51.38"W
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    50297
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    Introducción El estudio de las hospitalizaciones potencialmente evitables (HPE) ha sido adoptado como estrategia para evaluar la calidad y la eficiencia de los cuidados que se prestan a los pacientes crónicos. En España, la evidencia existente es anterior a 2010, se circunscribe al estudio de las áreas sanitarias (AS), no entrando a profundizar en los fenómenos que ocurren en la zona básica de salud (ZBS), y no analiza fenómenos temporales concomitantes. Objetivo La propuesta tiene por objeto describir y cartografiar la diferente evolución espacio temporal en la tasa estandarizada y riesgo relativo de HPE, al tiempo que trata de determinar el efecto de la zona básica de salud (vs. área sanitaria) sobre el riesgo, así como el efecto de fenómenos tiempo-dependientes. Métodos. Estudio observacional ecológico, sobre datos clínico-administrativos de las hospitalizaciones potencialmente evitables en condiciones crónicas observadas en las 203 áreas sanitarias del SNS español desde 2002 a 2015, y referidas a ZBS y AS. Análisis: 1) en su parte descriptiva, se estimará la tasa de incidencia estandarizada de HPE por 10,000 habitantes-año, y su variación, mediante razón de variación, componente sistemático de variación y empírico de Bayes; 2) en su parte analítica, se estimará el riesgo relativo de HPE mediante distintas técnicas, cada una con una aportación específica para determinar la contribución espacial y temporal de ZBS y AS –a) método indirecto, b) estimación de Besag-York-Mollié, c) Spatial Moving Average Risk Smoothing, d) modelización espacio-temporal bayesiana con métodos autocorrelativos, e) Shared-component modelling, y f) Smoothed-ANOVA-based model for spatial-temporal disease-mapping. (Spanish)
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    Introduction The study of potentially avoidable hospitalisations (HPE) has been adopted as a strategy to assess the quality and efficiency of care provided to chronic patients. In Spain, the existing evidence predates 2010, it is limited to the study of health areas (AS), not going deeper into the phenomena that occur in the basic health area (ZBS), and does not analyse concomitant temporal phenomena. Objective The purpose of the proposal is to describe and map the different temporal spatial evolution in the standardised rate and relative risk of PH, while at the same time trying to determine the effect of the basic health area (e.g. health area) on risk, as well as the effect of time-dependent phenomena. Methods. Ecological observational study on clinical-administrative data on potentially avoidable hospitalisations under chronic conditions observed in the 203 health areas of the Spanish NHS from 2002 to 2015, and referring to ZBS and AS. Analysis: 1) In its descriptive part, the standardised incidence rate of HPE per 10,000 inhabitants-years shall be estimated, and its variation, by ratio of variation, systematic component of variation and empirical Bayes; 2. In its analytical part, the relative risk of HPE will be estimated by different techniques, each with a specific contribution to determine the spatial and temporal contribution of ZBS and AS — a) indirect method, b) estimation of Besag-York-Mollié, c) Spatial Moving Average Risk Smoothing, d) Bayesian space-time modeling with autocorrelative methods, e) Shared-component modelling, and f) Smoothed-ANOVA-based model for spatial-temporal disease-mapping. (English)
    12 October 2021
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    Zaragoza
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    Identifiers

    PI14_00786
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