Estimation of the hidden demand for health services: a support for Peruvian social insurance
DOI:
https://doi.org/10.21754/iecos.v18i0.1170Keywords:
Hidden demand , health services , revealed demand , incidence , potential demandAbstract
The importance of the health sector is closely related to social welfare, since thinking about the health sector means thinking about a series of alternatives for improvement. Many of the hospitals that are built for the health sector are saturated with demand as soon as they are finished, this is a problem that may be associated with an erroneous perception of the demand for health services and that can be reflected in social unrest if it is not well calculated, in this sense, building a model that can nest the expectations of hospital saturation (logistics) with the hidden demand for health services is a great challenge for this research. As has been done in other countries, we will perform an econometric model to determine the additional percentage that should be considered when building a health center due to hidden demand, without generalities this model can be applied to other types of social services. This is the third report and complements the research with tables and results.
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References
Aracena-Genao, B., et al. (2011). El Fondo de Protección contra Gastos Catastróficos: tendencia, evolución y operación. Salud Pública de México, 53(4).
Chang, H.-Y., et al. (2010). Comparison of alternative risk adjustment measures for predictive modeling: high risk patient case finding using Taiwan’s National Health Insurance claims. Health Services Research.
Clavero, A., & González, A. (2005). La demanda de asistencia sanitaria en España desde la perspectiva de la decisión del paciente.
Cohen, J., & Krauss, N. (2014). Spending and service use among people with the fifteen most costly medical conditions, 1997. Health Affairs.
Crooks, P. (2005). Managing high-risk, high-cost patients: The Southern California Kaiser Permanente experience in the Medicare ESRD demonstration project. The Permanente Journal, 9(2).
Ellis, R. (1999). Risk adjustment in competitive health plan markets. Handbook of Health Economics.
Freund, T., et al. (2011). Identification of patients likely to benefit from care management programs. The American Journal of Managed Care, 17(5).
Gunn, J., et al. (2006). A systematic review of complex system interventions designed to increase recovery from depression in primary care.
Henríquez, R. (2006). Private health utilization and utilization of health services in Chile.
Jofré, E., Vial, B., & Torche, A. (2001). La demanda por seguros de salud en Chile: una aplicación de cortes transversales repetidos.
Kronick, R., et al. (2000). Improving health-based payment for Medicaid beneficiaries: CDPS. Health Care Financing Review.
Llanos, M., & Morera, M. (2009). Factores relacionados con la utilización de servicios de salud en Costa Rica. Revista Salud Pública.
Meyerhoefer, C., & Zuvekas, S. (2006). New estimates of the demand for physical and mental health treatment.
Panattoni, L., et al. (2011). Predictive risk modelling in health options for New Zealand. Australian Health Review, 35, 45-51.
Robalino, D., & Sánchez, R. (2007). Estimación de la demanda de crédito agrícola para el cantón La Maná, provincia de Cotopaxi, Ecuador.
Santos, H. (2010). Modelo prospectivo para evaluar la sustentabilidad del fondo de protección contra gastos catastróficos en México. 2005 - 2010.
Shi, W., et al. (2011). Effect of household and village characteristics on financial catastrophe and impoverishment due to health care spending in Western and Central Rural China: A multilevel analysis. Health Research Policy and Systems, 9(16).
Trías, J. (2004). Determinantes de la utilización de los servicios de salud: el caso de los niños en la Argentina.
Xu, K., et al. (2003). Household catastrophic health expenditure: A multicountry analysis. Lancet, 362(9378), 111-117.
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Copyright (c) 2017 Rafael Caparó
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