Supplementary Files
Keywords
Longitudinal Analysis
Household Surveys
Colombia
medicina preventiva
análisis longitudinal
encuestas de hogares
Colombia.
How to Cite
Abstract
Objective: Analyze factors involved in preventive medical appointments attendance in Bogota year 2014. Methods: two models were adjusted under GEE using a Bernoulli link function with independent and exchangeable correlation structures for preventive medical appointments attendance. Results: Income and socioeconomic stratum increase probability of preventive appointments attendance: Odds ratio of attendance and not attendance is at least 1,5 times higher in stratum 2 or higher households. Also, for every $100.000 additional pesos in monthly household income the reason increases by 1%. Household members which head reached an educational level higher than primary have an odds ratio of attendance and not attendance up to 2,3 times higher. Conclusions: Results are similar to Grossman (1972) and Kenkel (1990) nevertheless, individual educational level, presence in household of elder people or children and even presence of spouse are not related with preventive medical appointments attendance.
References
Acton, J. (1975) “Nonmonetary Factors in the Demand for Medical Services: Some Empirical Evidence”. Journal of Political Economy 83: 595-614.
Bernal, O. and C. Gutiérrez-Sourdis (2012) La Salud en Colombia: Logros, Retos y Recomendaciones. Bogotá: Ediciones Uniandes.
Bonet-Morón J. and K. Gúzman-Finol (2015) “Un Análisis Regional de la Salud en Colombia”. Documentos de Trabajo sobre Economía Regional 222: pp.48. Centro de Estudios Económicos Regionales (CEER) – Cartagena. Banco de la República.
Davis, C. (2002) Statistical Methods for the Analysis of Repeated Measurements. New York: Springer.
Departamento Administrativo Nacional de Estadística (DANE, 2014) Encuesta nacional de uso del tiempo (ENUT) Resultados para Bogotá (en línea) https://www.dane.gov.co/files/investigaciones/boletines/ENUT/Bol_ENUT_BTA_Ago2012_Jul2013.pdf
Gerdtham, U., M. Johannesson, L. Lundber and D. Isacson (1999) “The Demand for Health: Results from New Measures of Health Capital. European Journal of Political Economy 15: 501-521.
Grossman, M. (1972) “On the Concept of Health Capital and the Demand for Health”. Journal of Political Economy 80: 223-255.
Holtman, A. G. (1972) “Price, Time and Technology in the Medical Care Market” The Journal of Human Resources 7: 179-190.
Kenkel, D. (1990) “Consumer Health Information and the Demand for Medical Care”. The Review of Economics and Statistics 72: 587-595.
Leveson, I. (1970) “Demand for Neighborhood Medical Care”. Inquiry7 7: 17-24.
Liang, K and S. Zeger (1986) “Longitudinal Data Analysis Using Generalized Linear Models” Biometrika, 73: 13-22.
Pan, W. (2001) “Akaike’s Information Criterion in Generalized Estimating Equations”. Biometrics 57: 120-125
Ramírez, M., J. Gallego and C. Sepúlveda (2004) “The Determinants of the Health Status in a Developing Country: Results from the Colombian Case”. Borradores de Investigación 41: pp.15. Universidad del Rosario.
Rodríguez, O., C. Agudelo, A. Arévalo, R. Cárdenas, O. Fresneda, I. Jaramillo, P. Martínez, F. León, A. Medina, A. Poveda, L. Prada, D. Restrepo and L. Rueda (2002) ¿Ha mejorado el acceso en salud?. Bogotá: Ediciones UNIBIBLOS
Santa María, M., F. García, C. Prada, M. J. Uribe and T. Vásquez (2008) “El Sector Salud en Colombia: Impacto del SGSSS después de más de una década de la reforma”. Coyuntura Social 38: pp.41-103. Fedesarrollo.
Secretaría Distrital de Planeación (SDP, 2015). Presentación de Resultados de la Encuesta Multipropósito 2014 (en línea) http://www.sdp.gov.co/portal/page/portal/PortalSDP/Encuesta_Multiproposito_2014/Cartilla-Multiproposito.pdf
Wagstaff, A. (1993) “The Demand for Health: An Empirical Reformulation of the Grossman Model”. Health Economics 2: 189-198.