RESUMO
BACKGROUND AND OBJECTIVE: Potentially avoidable hospitalisations (PAHs) due to chronic conditions are a healthcare problem that could reflect healthcare of insufficient quality. This study reports the systematic variations in PAHs for the collection of providers of the Spanish National Health System. MATERIALS AND METHODS: We conducted an ecological study on government data, analysing the systematic variation in PAHs for 6 chronic conditions during 2013-2015. To determine the variation, we performed a small area analysis using Bayesian methodology. RESULTS: Between 2013 and 2015, 439,878 admissions for PAHs were recorded in the Spanish National Health System. There was an up to 4-fold difference in PAH rates between certain basic health areas (BHA), with highly variable differences depending on the analyzed condition. Forty percent of the BHAs showed a greater than expected risk of PAH. Beyond the systematic variation observed between BHAs, the healthcare areas of the patients' residence explained 33% of the variation in PAHs. We observed specific differences in these general results according to clinical condition, age and sex. CONCLUSIONS: The wide systematic variation in PAHs suggests a problem of quality in the care provided to chronically ill patients by the providers of healthcare areas in Spain. Identifying and analysing these areas and other healthcare areas with better results could provide a reference for improving the care of other suppliers with poorer performance.
Assuntos
Hospitalização , Atenção Primária à Saúde , Teorema de Bayes , Doença Crônica , Atenção à Saúde , HumanosRESUMO
Antecedentes y objetivo Las hospitalizaciones potencialmente evitables (HPE) por condiciones crónicas constituyen un problema sanitario que puede ser reflejo de una atención sanitaria de insuficiente calidad. En este trabajo se describen las variaciones sistemáticas en HPE para el conjunto de proveedores del Sistema Nacional de Salud. Materiales y métodos Estudio ecológico sobre datos administrativos en el que se analiza la variación sistemática en las HPE por 6 condiciones crónicas en el período 2013-2015. Para la estimación de la variación se realiza análisis de área pequeña utilizando metodología bayesiana. Resultados Entre 2013 y 2015 se registraron 439.878 ingresos por HPE en el Sistema Nacional de Salud. La variación de tasas de HPE entre zonas básicas de salud (ZBS) extremas fue de hasta 4 veces, con diferencias muy variables dependiendo de la condición analizada El 40% de las ZBS presentó un riesgo de HPE por encima de la esperado. Más allá de la variación sistemática observada entre ZBS, las áreas sanitarias de residencia de los pacientes explicaron un 33% de la variación en las HPE. Sobre estos resultados generales, se observaron diferencias específicas en función de la condición clínica, edad y sexo. Conclusiones La amplia variación sistemática en HPE indica la existencia de un problema de calidad en la atención prestada a pacientes crónicos por el conjunto de proveedores de las áreas sanitarias. La identificación y análisis de aquellas zonas y áreas sanitarias con mejores resultados podría servir de referencia para la mejora de los cuidados en otros proveedores con peor desempeño (AU)
Background and objective Potentially avoidable hospitalisations (PAHs) due to chronic conditions are a healthcare problem that could reflect healthcare of insufficient quality. This study reports the systematic variations in PAHs for the collection of providers of the Spanish National Health System. Materials and methods We conducted an ecological study on government data, analysing the systematic variation in PAHs for 6 chronic conditions during 20132015. To determine the variation, we performed a small area analysis using Bayesian methodology. Results Between 2013 and 2015, 439,878 admissions for PAHs were recorded in the Spanish National Health System. There was an up to 4-fold difference in PAH rates between certain basic health areas (BHA), with highly variable differences depending on the analysed condition. Forty percent of the BHAs showed a greater than expected risk of PAH. Beyond the systematic variation observed between BHAs, the healthcare areas of the patients residence explained 33% of the variation in PAHs. We observed specific differences in these general results according to clinical condition, age and sex. Conclusions The wide systematic variation in PAHs suggests a problem of quality in the care provided to chronically ill patients by the providers of healthcare areas in Spain. Identifying and analysing these areas and other healthcare areas with better results could provide a reference for improving the care of other suppliers with poorer performance (AU)
Assuntos
Humanos , Masculino , Feminino , Acessibilidade aos Serviços de Saúde , Continuidade da Assistência ao Paciente , Hospitalização/estatística & dados numéricos , Doença Crônica/terapiaRESUMO
BACKGROUND AND OBJECTIVE: Potentially avoidable hospitalisations (PAHs) due to chronic conditions are a healthcare problem that could reflect healthcare of insufficient quality. This study reports the systematic variations in PAHs for the collection of providers of the Spanish National Health System. MATERIALS AND METHODS: We conducted an ecological study on government data, analysing the systematic variation in PAHs for 6 chronic conditions during 2013-2015. To determine the variation, we performed a small area analysis using Bayesian methodology. RESULTS: Between 2013 and 2015, 439,878 admissions for PAHs were recorded in the Spanish National Health System. There was an up to 4-fold difference in PAH rates between certain basic health areas (BHA), with highly variable differences depending on the analysed condition. Forty percent of the BHAs showed a greater than expected risk of PAH. Beyond the systematic variation observed between BHAs, the healthcare areas of the patients' residence explained 33% of the variation in PAHs. We observed specific differences in these general results according to clinical condition, age and sex. CONCLUSIONS: The wide systematic variation in PAHs suggests a problem of quality in the care provided to chronically ill patients by the providers of healthcare areas in Spain. Identifying and analysing these areas and other healthcare areas with better results could provide a reference for improving the care of other suppliers with poorer performance.
RESUMO
Objetivo: Estimar el exceso de estancia atribuible a la presencia de eventos adversos en pacientes que han sido sometidos a una intervención quirúrgica en el mismo episodio. Población y métodos: Estudio observacional, transversal, sobre bases de datos clínico-administrativos al alta hospitalaria. Las altas elegidas fueron producidas en los años 2009 y 2010 en los centros hospitalarios de agudos de las 17 comunidades autónomas del SNS español, las cuales forman parte del proyecto Atlas de Variabilidad de la Práctica Médica en el Sistema Nacional de Salud (Atlas VPM). Resultados: El exceso de estancia fue de 28, 10 y 14 días en las altas con infección debida a uso de dispositivo vascular, altas con tromboembolismo o trombosis venosa profunda tras la cirugía y altas con sepsis post-quirúrgica, respectivamente. Las variables predictoras del paciente (edad, sexo, Elixhauser) influyen en el exceso de estancia. Conclusión: Los eventos adversos están asociados a un incremento significativo de exceso de estancia. El CMBD (Conjunto Mínimo Básico de Datos hospitalario) permite hacer una estimación del impacto que esto tiene en los hospitales españoles (AU)
Objective: To estimate the excess of length of stay (LOS) attributable to the presence of adverse events in patients who were operated. Methodology: Observational, cross-sectional study on the basis of clinical and administrative hospital discharge data. Discharge chosen were produced in 2009 and 2010 in acute hospitals of the 17 Spanish autonomous communities of the National Health System, which are part of the project Atlas of Variability in Medical Practice in the National Health System (Atlas VPM Group). Results: Excess of LOS was 28 days, 10 days and 14 days in the catheter-related infection (bacteremia), postoperative pulmonary embolism or deep vein (DVT-PTE) or postoperative sepsis stays. The predictor variables of the patient (age, sex and Elixhauser) influence in the excess of LOS. Conclusion: Adverse events are associated with a significant increase of excess of LOS. The discharge minimum basic dataset (CMBD) allows to estimate the impact of adverse events in the Spanish hospitals (AU)
