Browsing by Subject "Health system"

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    Environmental factors affecting European and Central Asian health-systems’ bias-corrected efficiency
    (Routledge. Taylor and Francis Group, 2017-12-29) Pérez Cárceles, María Concepción; Gómez Gallego, Juan Cándido; Gómez Gallego, María; Economía Aplicada
    Health expenditures comprise a large part of national incomes, which explains the growing interest of government agencies in establishing efficient control and management policies in the current context of economic difficulties. One of the main problems in efficiency analysis is to determine the environmental variables that have an impact on the production process. In particular, employing data on the European and Central Asian health systems, the article demonstrates that bias corrected Data Envelopment Analysis is most appropriate measuring efficiency than traditional Data Envelopment Analysis. Bias correction, implies a higher potential resources reduction, affects the ranking of health systems and allows variables influencing efficiency which would be undiscovered with non-corrected estimation. The second stage determines that lifestyle factors, policy organization and location of countries affect the efficiency results and cause differences among the countries. The contribution of these results is particularly useful facing the decision making by governments. Their strategies should be oriented to implementing active policies to struggle against smoking and promoting health policies aimed at increasing the level of immunization in order to be more effective improving management efficiency.
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    Evaluación de la atención primaria durante la pandemia por COVID-19, en una región del Perú
    (Universidad de Murcia. Servicio de publicaciones, 2023) Becerra Canales, Bladimir
    Introducción: La atención primaria es el pilar fundamental de un sistema de salud efectivo; el incumplimiento de los atributos esenciales podría contribuir al colapso de los sistemas de salud en eventuales pandemias. Objetivo: Evaluar el cumplimiento de los atributos de la atención primaria y sus factores asociados, según perspectiva del usuario externo en el contexto de la pandemia por COVID-19, en una región del Perú. Método: Estudio transversal, que incluyó 1064 usuarios externos, seleccionados aleatoriamente. Utilizando la Encuesta se recogieron características sociodemográficas y de salud. El cumplimiento de los atributos de la atención primaria fue valorado con la versión modificada del instrumento PCAT-A10. Se realizó un análisis descriptivo y multivariado mediante modelos lineales generalizados de la familia Poisson para evaluar ciertos factores asociados al incumplimiento de los atributos de la atención primaria. Resultados: De los participantes, el 76,6% perciben que los atributos básicos esenciales se incumplen; asimismo, en el primer contacto (74,7%), continuidad (87,8%), coordinación (95,7%), globalidad (88,3%) y competencia cultural (75,9%). La condición de estudiante (p<0,001), autopercepción de salud regular (p=0,010), adulto de 30 a 59 años (p<0,001) y la condición de usuarios del centro de salud Subtanjalla (p=0,001), Parcona (p<0,001) y Guadalupe (p<0,001), se encuentran asociados a mayor percepción de incumplimiento de los atributos de la atención primaria. Conclusiones: Desde la perspectiva de los usuarios externos los atributos esenciales son incumplidos en los centros de atención primaria; existen factores asociados a mayor probabilidad de percibir que estos atribuidos son incumplidos.
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    Evaluation of the efficiency of european health systems using fuzzy data envelopment analysis
    (MDPI, 2021-09-26) Gómez Gallego, Juan Cándido; García García, Javier Fernándo; Faura Martínez, Úrsula; Gómez Gallego, María; Economía Aplicada
    Abstract: Many studies that assess efficiency in health systems are based on output mean values. That approach ignores the representativeness of the average statistic, which can become a serious problem in estimation. To solve this question, this research contributes in three different ways: the first aim is to evaluate the technical efficiency in the management of European health systems considering a set of DEA (Data Envelopment Analysis) and FDEA (Fuzzy Data Envelopment Analysis) models. A second goal is to assess the bias in the estimation of efficiency when applying the conventional DEA. The third objective is the evaluation of the statistical relationship between the bias in the efficiency estimation and the macroeconomic variables (income inequality and economic freedom). The main results show positive correlations between DEA and FDEA scores. Notwithstanding traditional DEA models overestimate efficiency scores. Furthermore, the size of the bias is positively related to income inequality and negative with economic freedom in the countries evaluated.