Literature DB >> 25108312

Improved estimates of Belgian private health expenditure can give important lessons to other OECD countries.

Piet Calcoen1, Dirk Moens2, Pieter Verlinden3, Wynand P M M van de Ven4, Jozef Pacolet5.   

Abstract

OECD Health Data are a well-known source for detailed information about health expenditure. These data enable us to analyze health policy issues over time and in comparison with other countries. However, current official Belgian estimates of private expenditure (as published in the OECD Health Data) have proven not to be reliable. We distinguish four potential major sources of problems with estimating private health spending: interpretation of definitions, formulation of assumptions, missing or incomplete data and incorrect data. Using alternative sources of billing information, we have reached more accurate estimates of private and out-of-pocket expenditure. For Belgium we found differences of more than 100% between our estimates and the official Belgian estimates of private health expenditure (as published in the OECD Health Data). For instance, according to OECD Health Data private expenditure on hospitals in Belgium amounts to €3.1 billion, while according to our alternative calculations these expenses represent only €1.1 billion. Total private expenditure differs only 1%, but this is a mere coincidence. This exercise may be of interest to other OECD countries looking to improve their estimates of private expenditure on health.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Belgium; OECD Health Data; Out-of-pocket expenditure; Private expenditure; System of Health Accounts

Mesh:

Year:  2014        PMID: 25108312     DOI: 10.1016/j.healthpol.2014.07.008

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  2 in total

1.  High Out-of-Pocket Medical Spending among the Poor and Elderly in Nine Developed Countries.

Authors:  Katherine Baird
Journal:  Health Serv Res       Date:  2016-01-22       Impact factor: 3.402

2.  Measuring healthcare expenditure: different methods, different results.

Authors:  C Keegan; S Connolly; M-A Wren
Journal:  Ir J Med Sci       Date:  2017-05-31       Impact factor: 1.568

  2 in total

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