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      Inequalities in health care use and expenditures: empirical data from eight developing countries and countries in transition.

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          Abstract

          This paper summarizes eight country studies of inequality in the health sector. The analyses use household data to examine the distribution of service use and health expenditures. Each study divides the population into "income" quintiles, estimated using consumption expenditures. The studies measure inequality in the use of and spending on health services. Richer groups are found to have a higher probability of obtaining care when sick, to be more likely to be seen by a doctor, and to have a higher probability of receiving medicines when they are ill, than the poorer groups. The richer also spend more in absolute terms on care. In several instances there are unexpected findings. There is no consistent pattern in the use of private providers. Richer households do not devote a consistently higher percentage of their consumption expenditures to health care. The analyses indicate that intuition concerning inequalities could result in misguided decisions. It would thus be worthwhile to measure inequality to inform policy-making. Additional research could be performed using a common methodology for the collection of data and applying more sophisticated analytical techniques. These analyses could be used to measure the impact of health policy changes on inequality.

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          Author and article information

          Journal
          Bull World Health Organ
          Bulletin of the World Health Organization
          0042-9686
          0042-9686
          2000
          : 78
          : 1
          Affiliations
          [1 ] Abt Associates Inc., Bethesda, MD 20814, USA.
          Article
          2560608
          10686733
          114eba70-0957-49fd-b625-86dd5d962165
          History

          Delivery Of Health Care,Developing Countries,Economic Factors,Expenditures,Financial Activities,Health,Health Services,Inequalities,Organization And Administration,Policy,Program Accessibility,Program Evaluation,Programs,Socioeconomic Factors,Technical Report

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