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BACKGROUND: The objective of this work is to estimate the financial impact of increasing the monitoring period for breast cancer, which is financed by the Sistema de Protección Social en Salud (SPSS-Social Protection System in Health). METHODS: A micro-simulation model was developed to monitor a cohort of patients with breast cancer, and also an estimation was made on the probability of surviving the monitoring period financed by the SPSS. Using the Monte Carlo simulation, the maximum expected cost was estimated to broaden such monitoring. Morbimortality information of the Ministry of Health and cases of breast cancer treated by the SPSS were used. RESULTS: Between 2013 and 2026, the financial resources to provide monitoring during 10 years to women diagnosed with breast cancer would reach up to $3607.40 million pesos on a base scenario, $4151.79 million pesos on the pessimistic scenario and $3414.85 million pesos on an optimistic scenario. In the base scenario, additional expenditure represents an annual increase of 9.1% of resources allocated to treating this disease, and 3.0% of the availability of the resources for the Fondo de Protección contra Gastos Catastróficos (FPGC-Fund for Protection against Catastrophic Expenditure). CONCLUSIONS: Increasing monitoring for patients with breast cancer would not represent a financial risk to the sustainability of the FPGC, and could increase patients survival and life quality.

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Resumen: Objetivo: Describir el marco conceptual, metodología de implementación y análisis de la Encuesta de Satisfacción de Usuarios del Sistema de Protección Social en Salud de México. Material y métodos: Se analizan los elementos metodológicos de los estudios de 2013, 2014 y 2015, incluyendo el instrumento utilizado, el muestreo y el diseño del estudio, el modelo conceptual, las características y los indicadores del análisis. Resultados: La encuesta captura información sobre calidad percibida y satisfacción. El muestreo tiene representación nacional y estatal. Se construyen y describen indicadores simples y compuestos (índice de satisfacción y porcentaje de problemas de calidad reportados). El análisis se completa mediante diagramas de Pareto, correlación entre indicadores y asociación con la satisfacción mediante modelos multivariados. Conclusiones: La medición de satisfacción y calidad percibida es un proceso complejo pero necesario para cumplir con la normativa y para identificar estrategias de mejora. La encuesta descrita presenta diseño y análisis rigurosos enfocados en su utilidad para mejorar.

Abstract: Objective: To describe the conceptual framework and methods for implementation and analysis of the satisfaction survey of the Mexican System for Social Protection in Health. Materials and methods: We analyze the methodological elements of the 2013, 2014 and 2015 surveys, including the instrument, sampling method and study design, conceptual framework, and characteristics and indicators of the analysis. Results: The survey captures information on perceived quality and satisfaction. Sampling has national and State representation. Simple and composite indicators (index of satisfaction and rate of reported quality problems) are built and described. The analysis is completed using Pareto diagrams, correlation between indicators and association with satisfaction by means of multivariate models. Conclusions: The measurement of satisfaction and perceived quality is a complex but necessary process to comply with regulations and to identify strategies for improvement. The described survey presents a design and rigorous analysis focused on its utility for improving.

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RESUMEN

OBJECTIVE:: To describe the conceptual framework and methods for implementation and analysis of the satisfaction survey of the Mexican System for Social Protection in Health. MATERIALS AND METHODS:: We analyze the methodological elements of the 2013, 2014 and 2015 surveys, including the instrument, sampling method and study design, conceptual framework, and characteristics and indicators of the analysis. RESULTS:: The survey captures information on perceived quality and satisfaction. Sampling has national and State representation. Simple and composite indicators (index of satisfaction and rate of reported quality problems) are built and described. The analysis is completed using Pareto diagrams, correlation between indicators and association with satisfaction by means of multivariate models. CONCLUSIONS:: The measurement of satisfaction and perceived quality is a complex but necessary process to comply with regulations and to identify strategies for improvement. The described survey presents a design and rigorous analysis focused on its utility for improving.

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