DEMAND FOR HEALTH CARE SERVICES IN NIGERIA: IMPLICATIONS FOR POVERTY REDUCTION
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- NGN 3000
POVERTY REDUCTION
Abstract
This study examines the factors that associated with the decision of consulting medical treatment and the choice between health care service providers using primary data collected from Choba community, River state. While household level factors expected to affect the decision to consult medical treatment, patient and provider specific factors included as potential determinants of choice among different health care service providers. The nested multinomial logit NMNL) estimated using full information maximum likelihood (FIML) technique that estimates both levels of decisions simultaneously. However, number of children in the household negatively and significantly affects the decision to consult modern care. In the lower level of the model, the probability of consulting both public and private health care increase with log of consumption and quality of treatment, but decline with patients age. While patients’ primary education increases the probability of consulting public provider, secondary and above education increases the likelihood of consulting private care relative to the no-care. Therefore, the result indicates user fees would be regressive in that they would reduce health care services utilization of the poor segment of population than the rich.
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