RESUMO
Resumen: Objetivo: Mostrar cómo los datos generados por las actividades quirúrgicas de la unidad informan a tomador de decisiones en términos de la edad dela población a la que sirve, así como de la provisión y requerimientos de los servicios quirúrgicos. Comprender la dinámica de estas características ayuda a detectar áreas de oportunidad para mejorar la gerencia presente, así como para prever necesidades futuras que requieren presupuestarse. Material y método: Se utiliza estadística descriptiva y análisis de varianza sobre los tipos de cirugías realizadas durante dos años en el hospital. Conclusiones: Se encuentran diferencias estadísticamente significativas entre ellas en términos de la edad, la concentración del trabajo y la estancia.
Abstract: Objective: To show how the data generated by the hospital's chirurgical activities inform the decision maker in terms of the age of the population that the health unit serves, as well as the provision and requirements of the chirurgical services. Understanding the dynamics of these features helps to identify opportunity areas for the current management, as well as to foresee future needs that have an impact on the budget. Material and methods: The study relies on descriptive statistics and analyses of variance tests on two years of chirurgical data. Conclusions: These analyses find statistically significant differences among the type of surgeries concerning age, medical workload, and stay.
Résumé Objectif : montrer comment les données générées par les activités chirurgicales de l'unité informent le décideur de l'âge de la population desservie Comprendre la dynamique de ces caractéristiques permet de détecter les domaines susceptibles d'améliorer la gestion actuelle, ainsi que d'anticiper les besoins futurs nécessitant une budgétisation. Matériaux et méthodes : des statistiques descriptives et une analyse de la variance ont été utilisées pour les types de chirurgies pratiquées pendant deux ans à l'hôpital. Conclusions : Il existe des différences statistiquement significatives entre eux en termes d'âge, de concentration du travail et de séjour.
Resumo: Objetivo: Demonstrar como os dados gerados pelas atividades cirúrgicas da unidade hospitalar fornecem ao gestor informações relacionadas com a idade da população atendida, bem como a provisão e as necessidades dos serviços de cirurgia. Compreender a dinâmica destas características ajuda a detetar áreas de oportunidade para o melhorar a gestão presente bem como para prever necessidades futuras que necessitam um orçamento. Materiais e métodos: Utilizou-se a estatística descritiva e análise da variância sobre os tipos de cirurgia efetuadas no hospital ao longo de dois anos. Conclusões: Encontrou-se diferenças estatisticamente significativas relacionadas com a idade, a carga de trabalho e a duração do internamento.
RESUMO
OBJECTIVE: To analyse the spatial distribution of the incidence of leprosy and identify areas at risk for occurrences of hyper-endemic disease in Northeastern Brazil. METHODS: Ecological study using municipalities as the analysis unit. Data on new cases of leprosy came from the Health Hazard Notification System (SINAN). This study focused on Pernambuco and covered the years 2005 to 2014. Indicators for monitoring were calculated per 100 000 inhabitants. The local empirical Bayes method was used to minimise rate variance, and spatial autocorrelation maps were used for spatial pattern analysis (box maps and Moran maps). RESULTS: A total of 28 895 new cases were registered in the study period. The average incidence was 21.88/100 000; the global Moran's I index was 0.36 (P < 0.01), thus indicating the existence of spatial dependence; and the Moran map identified 20 municipalities with high priority for attention. The average incidence rate among individuals under 15 years of age was 8.78/100 000; the global Moran's I index showed the presence of positive spatial autocorrelation (0.43; P < 0.01), and the Moran map showed a main cluster of 15 hyper-endemic municipalities. The average rate of grade 2 physical disability at the time of diagnosis was 1.12/100 000; the global Moran index presented a positive spatial association (0.17; P < 0.01); and the Moran map located clusters of municipalities (high-high) in three mesoregions. CONCLUSION: Application of different spatial analysis methods made it possible to locate areas that would not have been identified by epidemiological indicators alone.