O objetivo do estudo foi explorar as percepções da estratégia de Atenção Integrada às Doenças Prevalentes na Infância (AIDPI) de gestores de saúde e facilitadores da estratégia. A pesquisa qualitativa foi realizada por meio de entrevistas semiestruturadas. Foram realizadas 14 entrevistas, entre maio e junho de 2011, oito no Estado do Ceará-Brasil e seis no Peru. De um modo geral, os profissionais relataram uma boa percepção da estratégia AIDPI. Observou-se a predominância do componente clínico, em comparação com os serviços de componentes da comunidade e de saúde. Ao contrário do Brasil, no Peru, houve uma promoção do governo para adoção da estratégia. Em conclusão, este estudo mostra uma intervenção complexa da estratégia AIDPI, com predomínio do componente clínico, colocando em evidência as limitações na integração dos componentes da estratégia.

The objective of this study was to explore the Integrated Management of Childhood Illness (IMCI) strategy through the perceptions of the health managers and facilitators of strategy. A qualitative study was conducted using semi-structured interviews. Fourteen interviews were carried out, eight in the State of Ceará-Brazil and six in Peru, between May and June 2011. In general, participants expressed a positive perception of the IMCI strategy. Also was observed the predominance of the clinical component, compared with the community or the health services component. In Peru unlike Brazil, the government promoted the adoption of the strategy. In conclusion, this study shows a complex intervention of the IMCI strategy, with a predominance of the clinical component, evidencing the limitations in the integration of the components of the strategy.

El objetivo del estudio fue explorar las percepciones sobre la estrategia de Atención Integrada a las Enfermedades Prevalentes en la Infancia (AIEPI) de gestores de salud y facilitadores de la estrategia. Se realizó una investigación de tipo cualitativo mediante entrevistas semiestructuradas. Se llevaron a cabo 14 entrevistas entre mayo y junio del 2011, ocho en el Estado de Ceará-Brasil y seis en el Perú. En general los profesionales manifestaron una buena percepción de la estrategia AIEPI, observándose una predominancia del componente clínico, en comparación con el componente comunitario y de servicios de salud. A diferencia de Brasil, en el Perú hubo una promoción gubernamental para la adopción estrategia. En conclusión, este estudio muestra una intervención compleja de la estrategia AIEPI, con predominancia del componente clínico poniendo en evidencia las limitaciones en la integración de los componentes de la estrategia.

The objective of this study was to explore the Integrated Management of Childhood Illness (IMCI) strategy through the perceptions of the health managers and facilitators of strategy. A qualitative study was conducted using semi-structured interviews. Fourteen interviews were carried out, eight in the State of Ceará-Brazil and six in Peru, between May and June 2011. In general, participants expressed a positive perception of the IMCI strategy. Also was observed the predominance of the clinical component, compared with the community or the health services component. In Peru unlike Brazil, the government promoted the adoption of the strategy. In conclusion, this study shows a complex intervention of the IMCI strategy, with a predominance of the clinical component, evidencing the limitations in the integration of the components of the strategy.

El objetivo del estudio fue explorar las percepciones sobre la estrategia de Atención Integrada a las Enfermedades Prevalentes en la Infancia (AIEPI) de gestores de salud y facilitadores de la estrategia. Se realizó una investigación de tipo cualitativo mediante entrevistas semiestructuradas. Se llevaron a cabo 14 entrevistas entre mayo y junio del 2011, ocho en el Estado de Ceará-Brasil y seis en el Perú. En general los profesionales manifestaron una buena percepción de la estrategia AIEPI, observándose una predominancia del componente clínico, en comparación con el componente comunitario y de servicios de salud. A diferencia de Brasil, en el Perú hubo una promoción gubernamental para la adopción estrategia. En conclusión, este estudio muestra una intervención compleja de la estrategia AIEPI, con predominancia del componente clínico poniendo en evidencia las limitaciones en la integración de los componentes de la estrategia.

O objetivo do estudo foi explorar as percepções da estratégia de Atenção Integrada às Doenças Prevalentes na Infância (AIDPI) de gestores de saúde e facilitadores da estratégia. A pesquisa qualitativa foi realizada por meio de entrevistas semiestruturadas. Foram realizadas 14 entrevistas, entre maio e junho de 2011, oito no Estado do Ceará-Brasil e seis no Peru. De um modo geral, os profissionais relataram uma boa percepção da estratégia AIDPI. Observou-se a predominância do componente clínico, em comparação com os serviços de componentes da comunidade e de saúde. Ao contrário do Brasil, no Peru, houve uma promoção do governo para adoção da estratégia. Em conclusão, este estudo mostra uma intervenção complexa da estratégia AIDPI, com predomínio do componente clínico, colocando em evidência as limitações na integração dos componentes da estratégia.

Objective: To provide an overview of decision trees based on CART (Classification and Regression Trees) methodology. As an example, we developed a CART model intended to estimate the probability of intrahospital death from acute myocardial infarction (AMI). Method: We employed the minimum data set (MDS) of Andalusia, Catalonia, Madrid and the Basque Country (2001-2002), which included 33,203 patients with a diagnosis of AMI. The 33,203 patients were randomly divided (70% and 30%) into the development (DS; n = 23,277) and the validation (VS; n = 9,926) sets. The CART inductive model was based on Breiman's algorithm, with a sensitivity analysis based on the Gini index and cross-validation. We compared the results with those obtained by using both logistic regression (LR) and artificial neural network (ANN) (multilayer perceptron) models. The developed models were contrasted with the VS and their properties were evaluated with the area under the ROC curve (AUC) (95% confidence interval [CI]). Results: In the DS, the CART showed an AUC = 0.85 (0.86-0.88), LR 0.87 (0.86-0.88) and ANN 0.85 (0.85-0.86). In the VS, the CART showed an AUC = 0.85 (0.85-0.88), LR 0.86 (0.85-0.88) and ANN 0.84 (0.83-0.86). Conclusions: None of the methods tested outperformed the others in terms of discriminative ability. We found that the CART model was much easier to use and interpret, because the decision rules generated could be applied without the need for mathematical cal

Objetivo: : Realizar una aproximación a la metodología de árboles de decisión tipo CART (Classification and Regression Trees) desarrollando un modelo para calcular la probabilidad de muerte hospitalaria en infarto agudo de miocardio (IAM). Método: Se utiliza el conjunto mínimo básico de datos al alta hospitalaria (CMBD) de Andalucía, Cataluña, Madrid y País Vasco de los años 2001 y 2002, que incluye los casos con IAM como diagnóstico principal. Los 33.203 pacientes se dividen aleatoriamente (70 y 30 %) en grupo de desarrollo (GD = 23.277) y grupo de validación (GV = 9.926). Como CART se utiliza un modelo inductivo basado en el algoritmo de Breiman, con análisis de sensibilidad mediante el índice de Gini y sistema de validación cruzada. Se compara con un modelo de regresión logística (RL) y una red neuronal artificial (RNA) (multilayer perceptron). Los modelos desarrollados se contrastan en el GV y sus propiedades se comparan con el área bajo la curva ROC (ABC) (intervalo de confianza del 95%). Resultados: En el GD el CART con ABC = 0,85 (0,86-0,88), RL 0,87 (0,86-0,88) y RNA 0,85 (0,85-0,86). En el GV el CART con ABC = 0,85 (0,85-0,88), RL 0,86 (0,85-0,88) y RNA 0,84 (0,83-0,86). Conclusiones: Los 3 modelos obtienen resultados similares en su capacidad de discriminación. El modelo CART ofrece como ventaja su simplicidad de uso y de interpretación, ya que las reglas de decisión que generan pueden aplicarse sin necesidad de procesos matemáticos.

Objective: To provide an overview of decision trees based on CART (Classification and Regression Trees) methodology. As an example, we developed a CART model intended to estimate the probability of intrahospital death from acute myocardial infarction (AMI). Method: We employed the minimum data set (MDS) of Andalusia, Catalonia, Madrid and the Basque Country (2001-2002), which included 33,203 patients with a diagnosis of AMI. The 33,203 patients were randomly divided (70% and 30%) into the development (DS; n = 23,277) and the validation (VS; n = 9,926) sets. The CART inductive model was based on Breiman's algorithm, with a sensitivity analysis based on the Gini index and cross-validation. We compared the results with those obtained by using both logistic regression (LR) and artificial neural network (ANN) (multilayer perceptron) models. The developed models were contrasted with the VS and their properties were evaluated with the area under the ROC curve (AUC) (95% confidence interval [CI]). Results: In the DS, the CART showed an AUC = 0.85 (0.86-0.88), LR 0.87 (0.86-0.88) and ANN 0.85 (0.85-0.86). In the VS, the CART showed an AUC = 0.85 (0.85-0.88), LR 0.86 (0.85-0.88) and ANN 0.84 (0.83-0.86). Conclusions: None of the methods tested outperformed the others in terms of discriminative ability. We found that the CART model was much easier to use and interpret, because the decision rules generated could be applied without the need for mathematical cal.

Objetivo: : Realizar una aproximación a la metodología de árboles de decisión tipo CART (Classification and Regression Trees) desarrollando un modelo para calcular la probabilidad de muerte hospitalaria en infarto agudo de miocardio (IAM). Método: Se utiliza el conjunto mínimo básico de datos al alta hospitalaria (CMBD) de Andalucía, Cataluña, Madrid y País Vasco de los años 2001 y 2002, que incluye los casos con IAM como diagnóstico principal. Los 33.203 pacientes se dividen aleatoriamente (70 y 30 %) en grupo de desarrollo (GD = 23.277) y grupo de validación (GV = 9.926). Como CART se utiliza un modelo inductivo basado en el algoritmo de Breiman, con análisis de sensibilidad mediante el índice de Gini y sistema de validación cruzada. Se compara con un modelo de regresión logística (RL) y una red neuronal artificial (RNA) (multilayer perceptron). Los modelos desarrollados se contrastan en el GV y sus propiedades se comparan con el área bajo la curva ROC (ABC) (intervalo de confianza del 95%). Resultados: En el GD el CART con ABC = 0,85 (0,86-0,88), RL 0,87 (0,86-0,88) y RNA 0,85 (0,85-0,86). En el GV el CART con ABC = 0,85 (0,85-0,88), RL 0,86 (0,85-0,88) y RNA 0,84 (0,83-0,86). Conclusiones: Los 3 modelos obtienen resultados similares en su capacidad de discriminación. El modelo CART ofrece como ventaja su simplicidad de uso y de interpretación, ya que las reglas de decisión que generan pueden aplicarse sin necesidad de procesos matemáticos.

Background: Mortality caused by cardial gastric cancer in Chile, is increasing. Previously we demonstrated an association between Epstein Barr virus and this specific location of gastric cancer. Aim: To perform a clinical and molecular characterization of cardial gastric cancer associated to Epstein Barr virus. Material and methods: Epstein Barr virus was identified in 93 cardial gastric tumors, by in situ hybridization. Clinical and pathological features, survival and expression of p53 and c-erbB2 were compared between tumors with or without the presence of the virus. Results: Twenty two (23.6%) tumors expressed Epstein Barr virus. No difference in sex or age of patients with tumors positive or negative for the virus was observed. Epstein Barr positive tumors had a tendency to have a higher frequency of Bormann III endoscopic appearance and a lower frequency of p53 accumulation (p=0.06). Five years survival was 67% and 42% of tumors positive and negative for the presence of the virus, respectively (p=0.57). Conclusions: Our results, although not significant, show a tendency towards unique characteristics of cardial gastric tumors associated to Epstein Barr