Calculation of Purchasing Power Parities for Pharmaceutical Products via EURIPID database

Abstract Background Purchasing power parities (PPPs) are indicators of price level differences for all goods and services across countries. Their calculation follows the ÉKS method (https://ec.europa.eu/eurostat/cache/metadata/en/prc_ppp_esms.htm). Prices of pharmaceuticals are collected by national...

Full description

Bibliographic Details
Published in:European Journal of Public Health
Main Authors: Habl, C, Zuba, M
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2022
Subjects:
Online Access:http://dx.doi.org/10.1093/eurpub/ckac129.343
https://academic.oup.com/eurpub/article-pdf/32/Supplement_3/ckac129.343/48593664/ckac129.343.pdf
id croxfordunivpr:10.1093/eurpub/ckac129.343
record_format openpolar
spelling croxfordunivpr:10.1093/eurpub/ckac129.343 2023-05-15T16:52:36+02:00 Calculation of Purchasing Power Parities for Pharmaceutical Products via EURIPID database Habl, C Zuba, M 2022 http://dx.doi.org/10.1093/eurpub/ckac129.343 https://academic.oup.com/eurpub/article-pdf/32/Supplement_3/ckac129.343/48593664/ckac129.343.pdf en eng Oxford University Press (OUP) https://creativecommons.org/licenses/by/4.0/ CC-BY European Journal of Public Health volume 32, issue Supplement_3 ISSN 1101-1262 1464-360X Public Health, Environmental and Occupational Health journal-article 2022 croxfordunivpr https://doi.org/10.1093/eurpub/ckac129.343 2023-01-13T10:48:29Z Abstract Background Purchasing power parities (PPPs) are indicators of price level differences for all goods and services across countries. Their calculation follows the ÉKS method (https://ec.europa.eu/eurostat/cache/metadata/en/prc_ppp_esms.htm). Prices of pharmaceuticals are collected by national statistical offices using different methods, from asking prices in pharmacies to retrieving scanner data. The sample is limited to 150 top-selling medicines, which are not available in all countries. Consequently, the PLIs (price level indices) and PPPs derived are sometimes based on only 50 pharmaceuticals. In a cooperation between Eurostat and EURIPID the PPP calculation was alternatively done with the EURIPID database for 28 countries. Methods The study compared the PLIs/PPPs derived from the E20-2 “Furniture and health” survey (aka CGS) with those from EURIPID for 2018-2020. The main challenge was to identify comparable products from the 224,448 products in EURIPID. For this we grouped those that shared the same 1) ATC, 2) active substance(s) & strength(s), 3) pack size group and 4) dosage form group (e.g., oromucosal) resulting in 157,186 distinctive products compared to 1,928 included in CGS. We used the Gross Retail price (GRP) as defined in the Eurostat PPP manual. Results The ranking of PPPs was similar in both approaches, with Switzerland and Iceland in the lead and Poland and Hungary in the end. Only for some countries, e.g. the Netherlands deviations were identified. The Pearson correlation between the 2020 PLI for the Euripid subsample using the asterisk method with all products marked as representative and the CGS results was 0,946. Conclusions Results from EURIPID show the same trend as the CGS. It is possible to replace the national data collection by a central source. This would reduce the data collection burden on the statistical offices and allows a closer monitoring of the evolution of pharmaceutical prices (bi-annual PPP publication instead of current 3-year interval) Key messages • To ... Article in Journal/Newspaper Iceland Oxford University Press (via Crossref) European Journal of Public Health 32 Supplement_3
institution Open Polar
collection Oxford University Press (via Crossref)
op_collection_id croxfordunivpr
language English
topic Public Health, Environmental and Occupational Health
spellingShingle Public Health, Environmental and Occupational Health
Habl, C
Zuba, M
Calculation of Purchasing Power Parities for Pharmaceutical Products via EURIPID database
topic_facet Public Health, Environmental and Occupational Health
description Abstract Background Purchasing power parities (PPPs) are indicators of price level differences for all goods and services across countries. Their calculation follows the ÉKS method (https://ec.europa.eu/eurostat/cache/metadata/en/prc_ppp_esms.htm). Prices of pharmaceuticals are collected by national statistical offices using different methods, from asking prices in pharmacies to retrieving scanner data. The sample is limited to 150 top-selling medicines, which are not available in all countries. Consequently, the PLIs (price level indices) and PPPs derived are sometimes based on only 50 pharmaceuticals. In a cooperation between Eurostat and EURIPID the PPP calculation was alternatively done with the EURIPID database for 28 countries. Methods The study compared the PLIs/PPPs derived from the E20-2 “Furniture and health” survey (aka CGS) with those from EURIPID for 2018-2020. The main challenge was to identify comparable products from the 224,448 products in EURIPID. For this we grouped those that shared the same 1) ATC, 2) active substance(s) & strength(s), 3) pack size group and 4) dosage form group (e.g., oromucosal) resulting in 157,186 distinctive products compared to 1,928 included in CGS. We used the Gross Retail price (GRP) as defined in the Eurostat PPP manual. Results The ranking of PPPs was similar in both approaches, with Switzerland and Iceland in the lead and Poland and Hungary in the end. Only for some countries, e.g. the Netherlands deviations were identified. The Pearson correlation between the 2020 PLI for the Euripid subsample using the asterisk method with all products marked as representative and the CGS results was 0,946. Conclusions Results from EURIPID show the same trend as the CGS. It is possible to replace the national data collection by a central source. This would reduce the data collection burden on the statistical offices and allows a closer monitoring of the evolution of pharmaceutical prices (bi-annual PPP publication instead of current 3-year interval) Key messages • To ...
format Article in Journal/Newspaper
author Habl, C
Zuba, M
author_facet Habl, C
Zuba, M
author_sort Habl, C
title Calculation of Purchasing Power Parities for Pharmaceutical Products via EURIPID database
title_short Calculation of Purchasing Power Parities for Pharmaceutical Products via EURIPID database
title_full Calculation of Purchasing Power Parities for Pharmaceutical Products via EURIPID database
title_fullStr Calculation of Purchasing Power Parities for Pharmaceutical Products via EURIPID database
title_full_unstemmed Calculation of Purchasing Power Parities for Pharmaceutical Products via EURIPID database
title_sort calculation of purchasing power parities for pharmaceutical products via euripid database
publisher Oxford University Press (OUP)
publishDate 2022
url http://dx.doi.org/10.1093/eurpub/ckac129.343
https://academic.oup.com/eurpub/article-pdf/32/Supplement_3/ckac129.343/48593664/ckac129.343.pdf
genre Iceland
genre_facet Iceland
op_source European Journal of Public Health
volume 32, issue Supplement_3
ISSN 1101-1262 1464-360X
op_rights https://creativecommons.org/licenses/by/4.0/
op_rightsnorm CC-BY
op_doi https://doi.org/10.1093/eurpub/ckac129.343
container_title European Journal of Public Health
container_volume 32
container_issue Supplement_3
_version_ 1766042972520972288