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Báo cáo y học: "Are there differences between unconditional and conditional demand estimates? implications for future research and polic"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Are there differences between unconditional and conditional demand estimates? implications for future research and policy. | Cost Effectiveness and Resource Allocation BioMed Central Open Access Are there differences between unconditional and conditional demand estimates implications for future research and policy Budi Hidayat Address Department of Health Policy and Administration Faculty of Public Health University of Indonesia Indonesia Email Budi Hidayat - b_hidayat@hotmail.com Published 5 August 2008 Received 16 October 2007 Accepted 5 August 2008 Cost Effectiveness and Resource Allocation 2008 6 15 doi l0.ll86 l478-7547-6-l 5 This article is available from http www.resource-allocation.cOm content 6 l l5 2008 Hidayat licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Estimations of the demand for healthcare often rely on estimating the conditional probabilities of being ill. Such estimate poses several problems due to sample selectivity problems and an under-reporting of the incidence of illness. This study examines the effects of health insurance on healthcare demand in Indonesia using samples that are both unconditional and conditional on being ill and comparing the results. Methods The demand for outpatient care in three alternative providers was modeled using a multinomial logit regression for samples unconditional on being ill N 16485 and conditional on being ill N 5055 . The ill sample was constructed from two measures of health status - activity of daily living impairments and severity of illness - derived from the second round of panel data from the Indonesian Family Life Survey. The recycling prediction method was used to predict the distribution of utilization rates based on having health insurance and income status while holding all other variables constant. Results Both unconditional and conditional estimates .