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Determinants of new drugs prescription in the Swiss healthcare market
BACKGROUND: Drug markets are very complex and, while many new drugs are registered each year, little is known about what drives the prescription of these new drugs. This study attempts to lift the veil from this important subject by analyzing simultaneously the impact of several variables on the pre...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759272/ https://www.ncbi.nlm.nih.gov/pubmed/29316910 http://dx.doi.org/10.1186/s12913-017-2775-1 |
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author | Decollogny, Anne Piaget-Rossel, Romain Taffé, Patrick Eggli, Yves |
author_facet | Decollogny, Anne Piaget-Rossel, Romain Taffé, Patrick Eggli, Yves |
author_sort | Decollogny, Anne |
collection | PubMed |
description | BACKGROUND: Drug markets are very complex and, while many new drugs are registered each year, little is known about what drives the prescription of these new drugs. This study attempts to lift the veil from this important subject by analyzing simultaneously the impact of several variables on the prescription of novelty. METHODS: Data provided by four Swiss sickness funds were analyzed. These data included information about more than 470,000 insured, notably their drug intake. Outcome variable that captured novelty was the age of the drug prescribed. The overall variance in novelty was partitioned across five levels (substitutable drug market, patient, physician, region, and prescription) and the influence of several variables measured at each of these levels was assessed using a non-hierarchical multilevel model estimated by Bayesian Markov Chain Monte Carlo methods. RESULTS: More than 92% of the variation in novelty was explained at the substitutable drug market-level and at the prescription-level. Newer drugs were prescribed in markets that were costlier, less concentrated, included more insured, provided more drugs and included more active substances. Over-the-counter drugs were on average 12.5 years older while generic drugs were more than 15 years older than non-generics. Regional disparities in terms of age of prescribed drugs could reach 2.8 years. CONCLUSIONS: Regulation of the demand has low impact, with little variation explained at the patient-level and physician-level. In contrary, the market structure (e.g. end of patent with generic apparition, concurrence among producers) had a strong contribution to the variation of drugs ages. |
format | Online Article Text |
id | pubmed-5759272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57592722018-01-10 Determinants of new drugs prescription in the Swiss healthcare market Decollogny, Anne Piaget-Rossel, Romain Taffé, Patrick Eggli, Yves BMC Health Serv Res Research Article BACKGROUND: Drug markets are very complex and, while many new drugs are registered each year, little is known about what drives the prescription of these new drugs. This study attempts to lift the veil from this important subject by analyzing simultaneously the impact of several variables on the prescription of novelty. METHODS: Data provided by four Swiss sickness funds were analyzed. These data included information about more than 470,000 insured, notably their drug intake. Outcome variable that captured novelty was the age of the drug prescribed. The overall variance in novelty was partitioned across five levels (substitutable drug market, patient, physician, region, and prescription) and the influence of several variables measured at each of these levels was assessed using a non-hierarchical multilevel model estimated by Bayesian Markov Chain Monte Carlo methods. RESULTS: More than 92% of the variation in novelty was explained at the substitutable drug market-level and at the prescription-level. Newer drugs were prescribed in markets that were costlier, less concentrated, included more insured, provided more drugs and included more active substances. Over-the-counter drugs were on average 12.5 years older while generic drugs were more than 15 years older than non-generics. Regional disparities in terms of age of prescribed drugs could reach 2.8 years. CONCLUSIONS: Regulation of the demand has low impact, with little variation explained at the patient-level and physician-level. In contrary, the market structure (e.g. end of patent with generic apparition, concurrence among producers) had a strong contribution to the variation of drugs ages. BioMed Central 2018-01-09 /pmc/articles/PMC5759272/ /pubmed/29316910 http://dx.doi.org/10.1186/s12913-017-2775-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Decollogny, Anne Piaget-Rossel, Romain Taffé, Patrick Eggli, Yves Determinants of new drugs prescription in the Swiss healthcare market |
title | Determinants of new drugs prescription in the Swiss healthcare market |
title_full | Determinants of new drugs prescription in the Swiss healthcare market |
title_fullStr | Determinants of new drugs prescription in the Swiss healthcare market |
title_full_unstemmed | Determinants of new drugs prescription in the Swiss healthcare market |
title_short | Determinants of new drugs prescription in the Swiss healthcare market |
title_sort | determinants of new drugs prescription in the swiss healthcare market |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759272/ https://www.ncbi.nlm.nih.gov/pubmed/29316910 http://dx.doi.org/10.1186/s12913-017-2775-1 |
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