Cross-country comparisons of health-care costs: The case of cancer treatment in the Nordic countries

Abstract The objective of this study is to perform a cross-country comparison of cancer treatment costs in the Nordic countries, and to demonstrate the added value of decomposing documented costs in interpreting national differences. The study is based on individual-level data from national patient...

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Published inHealth policy (Amsterdam) Vol. 115; no. 2; pp. 172 - 179
Main Authors Kalseth, Jorid, Halvorsen, Thomas, Kalseth, Birgitte, Sarheim Anthun, Kjartan, Peltola, Mikko, Kautiainen, Kirsi, Häkkinen, Unto, Medin, Emma, Lundgren, Jonatan, Rehnberg, Clas, Másdóttir, Birna Björg, Heimisdottir, Maria, Bjarnadóttir, Helga Hrefna, Køtlum, Jóanis Erik, Kilsmark, Janni, Halsteinli, Vidar
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Ireland Ltd 01.04.2014
Elsevier
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Summary:Abstract The objective of this study is to perform a cross-country comparison of cancer treatment costs in the Nordic countries, and to demonstrate the added value of decomposing documented costs in interpreting national differences. The study is based on individual-level data from national patient and prescription drug registers, and data on cancer prevalence from the NORDCAN database. Hospital costs were estimated on the basis of information on diagnosis-related groups (DRG) cost weights and national unit costs. Differences in per capita costs were decomposed into two stages: stage one separated the price and volume components, and stage two decomposed the volume component, relating the level of activity to service needs and availability. Differences in the per capita costs of cancer treatment between the Nordic countries may be as much as 30 per cent. National differences in the costs of treatment mirror observed differences in total health care costs. Differences in health care costs between countries may relate to different sources of variation with different policy implications. Comparisons of per capita spending alone can be misleading if the purpose is to evaluate, for example, differences in service provision and utilisation. The decomposition analysis helps to identify the relative influence of differences in the prevalence of cancer, service utilisation and productivity.
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ISSN:0168-8510
1872-6054
1872-6054
DOI:10.1016/j.healthpol.2014.01.003