ABSTRACT
Introducción: En el contexto de la pandemia, la gestión eficiente de los flujos de pacientes con enfoque en su trayectoria es crucial. En este sentido, el enfoque Lean permite aumentar el rendimiento del sistema sanitario, al eliminar actividades que no generan valor al paciente. Objetivo: Realizar un análisis integral de los flujos de pacientes de alto riesgo con COVID-19 en Matanzas, utilizando el enfoque Lean. Materiales y métodos: Se implementó una metodología de tipo cuantitativa, estructurada en cuatro etapas, para la gestión integrada de los flujos de pacientes de alto riesgo con COVID-19, mediante el enfoque Lean. Esta metodología integra herramientas para la selección de expertos, representación de procesos, análisis estructural y mapas de flujos de valor. Se aplicó durante del período de mayor incidencia de la pandemia en Matanzas (1 de mayo al 1 de agosto de 2021). Resultados: Se identificaron deficiencias relacionadas con los flujos de pacientes de alto riesgo con COVID-19 en Matanzas. Se realizó un análisis integral de los flujos, con el fin de realizar una propuesta de mejoras con enfoque Lean. La propuesta garantizó una optimización de 1510 minutos por ciclos de atención, con una eficiencia del 85,86 % del tiempo total de cada ciclo (etapa del tratamiento), y del 59,38 % de los tiempos de espera entre ellos. Conclusiones: Las herramientas Lean permiten realizar un análisis integral de los flujos de pacientes, además de mostrar una vía para su gestión, centrada en la trayectoria y no en la ocupación del recurso.
Introduction: In the context of the pandemic, the efficient management of the patients flow with a focus on their trajectory is crucial. In this sense, the Lean approach allows to increase the performance of the health care system, eliminating activities that do not generate value for the patient. Objective: To carry out an integral analysis of the high risk patients flow with COVID-19 in Matanzas, using the Lean approach. Materials and methods: A quantitative methodology, structured in four stages was implemented for the integrated management of the flow of high risk patients with COVID-19, using the Lean approach. This methodology integrates tools for the selection of experts, process representation, structural analysis and value flow maps. It was applied during the period of highest incidence of the pandemic in Matanzas (May 1st to August 1st 2021). Results: Deficiencies related to the flows of high risks patients with COVID-19 in Matanzas were identified. A comprehensive analysis of the flows was carried out in order to make a proposal for improvements with a Lean approach. The proposal guaranteed an optimization of 1 500 minutes per service cycle, with an efficiency of 85.86% of the total time of each cycle (treatment stage), and 59.38% of the waiting times between them. Conclusions: Lean tools allow a comprehensive analysis of the patients' flow, in addition to showing a route for their management, focused on the trajectory and not on the occupation of the resource.
ABSTRACT
Objectives:To analyze the influencing factors and status of hospital seeking behavior among floating population by focusing on the function of health insurance , and provide evidence to comprehensively promote tiered health care system in China .Methods:Using data from 2014 National Floating Population Dynamic Monitoring Survey , multivariate logistic regressions were applied to analyze the influencing factors of hospital seeking behavior for inpatient care .Chi-square tests were used to analyze the different proportion of having basic medical insurance reimbursement and reasons for not having it for different hierarchical inpatient care , and T test were used to analyze the ratio of basic medical insurance reimbursement for hospital costs .Results:The proportion of hospitalization at the county level and below was 56.4%among floating population , the proportion of inflow patients being 51.5%and the rest of the hospital population being counted at a proportion of 37.9%, lower than the corresponding proportion of 72.6%among local res-idents derived from the Fifth National Health Services Survey , but this ratio was 78.9%among registered population . The multivariate logistic regression results indicated that demographic , socio-economic and flow characteristics , hospital location and reasons for hospitalization have significantly affected the migrant inpatients facilities , but health insurance did not significantly influence the hospital seeking behaviors among floating population .Conclusions:The proportion of hospitalization at the county level and below was low among migrants and this proportion presented great regional differ -ences;and medical insurance didn't play a guiding role in the diversion of the internal floating population .