This study attempts to empirically answer three important policy questions for a population sample from Ogun State, Nigeria : 1. Would price (fee) increases for health care lead to large reductions of care usage or to shifts across types of care used ? 2. Would price increases lead to net increases in revenues for the health system ? 3. Would the price increases have larger impacts (in the form of reductions in health care usage) on lower income members of the population ?
Household data are combined with data on prices and quality of care, collected directly from facilities, to estimate the demand for outpatient health care.
Many of the statistical problems of demand estimation with micro level data are avoided by an innovation-the first use of the multinomial probit estimation method for health demand.
Because the health care « good » - outpatient health care-can vary to such a degree across providers, quality of care must be controlled in order that the coefficients on prices and other variables will not be biased.
Because of this fear of bias on the extremely important price coefficient, effective control of the quality of the care available at the alternative accessible care providers is almost certainly at this time the most important marginal innovation to demand estimation.
Most past researchers simply have not had available to them exogenous quality of care information collect.
Mots-clés Pascal : Prix, Financement, Soin, Qualité, Utilisation, Service santé, Malade, Homme, Système santé, Economie santé, Nigéria, Afrique
Mots-clés Pascal anglais : Price, Financing, Care, Quality, Use, Health service, Patient, Human, Health system, Health economy, Nigeria, Africa
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 95-0352027
Code Inist : 002B30A01B. Création : 01/03/1996.