Literature DB >> 16951417

Detecting changes in financial protection: creating evidence for policy in Estonia.

Jarno Habicht1, Ke Xu, Agnes Couffinhal, Joseph Kutzin.   

Abstract

Ninety-four per cent of the Estonian population is covered by public health insurance, but private expenditure has been increasing quickly both in real terms and as a percentage of total health expenditure. To date, little attention has been given to the impact this could have on the population's financial protection. Out-of-pocket payments, which account for the bulk of the private expenditure in many low- and middle-income countries, can push people into poverty and more generally represent too high a burden for some households. It is therefore very important that governments monitor the impact of out-of-pocket payments on health. Using an example from Estonia, this paper aims to illustrate that, if household budget survey data are available, monitoring a population's financial protection is not a complex undertaking. Further, by combining simple statistical analyses of these data with a good knowledge of a country's health system, it is possible to give a fairly detailed diagnostic of the nature of the population's coverage limitation. This allows for the presentation of easily interpretable results that can raise awareness among policy-makers and help to target adequate policy responses. Using Estonian household budget surveys from 1995, 2001 and 2002, we show that the proportion of households who spend more than 20% of their capacity to pay on health increased from 3.4% in 1995 to 7.4% in 2002 and that in 2002, 1.3% of the population fell into poverty because of health payments. Logistic regression helps in identifying the population most at risk: elderly patients who belong to poor households and spend high amounts on medicines. This study, which can be replicated, did raise awareness among policy-makers about the changes in financial protection over the years in Estonia.

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Year:  2006        PMID: 16951417     DOI: 10.1093/heapol/czl026

Source DB:  PubMed          Journal:  Health Policy Plan        ISSN: 0268-1080            Impact factor:   3.344


  9 in total

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  9 in total

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