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The economic impact of Marfan syndrome: a non-experimental, retrospective, population-based matched cohort study

BACKGROUND: Marfan syndrome is a rare disease of the connective tissues, affecting multiple organ systems. Elevated morbidity and mortality in these patients raises the issue of costs for sickness funds and society. To date, there has been no study analysing the costs of Marfan syndrome from a sickn...

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Autores principales: Achelrod, Dmitrij, Blankart, Carl Rudolf, Linder, Roland, von Kodolitsch, Yskert, Stargardt, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082619/
https://www.ncbi.nlm.nih.gov/pubmed/24954169
http://dx.doi.org/10.1186/1750-1172-9-90
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author Achelrod, Dmitrij
Blankart, Carl Rudolf
Linder, Roland
von Kodolitsch, Yskert
Stargardt, Tom
author_facet Achelrod, Dmitrij
Blankart, Carl Rudolf
Linder, Roland
von Kodolitsch, Yskert
Stargardt, Tom
author_sort Achelrod, Dmitrij
collection PubMed
description BACKGROUND: Marfan syndrome is a rare disease of the connective tissues, affecting multiple organ systems. Elevated morbidity and mortality in these patients raises the issue of costs for sickness funds and society. To date, there has been no study analysing the costs of Marfan syndrome from a sickness fund and societal perspective. OBJECTIVE: To estimate excess health resource utilisation, direct (non-)medical and indirect costs attributable to Marfan syndrome from a healthcare payer and a societal perspective in Germany in 2008. METHODS: A retrospective matched cohort study design is applied, using claims data. For isolating the causal effect of Marfan syndrome on excess costs, a genetic matching algorithm was used to reduce differences in observable characteristics between Marfan syndrome patients and the control group. 892 patients diagnosed with Marfan syndrome (ICD-10 Q87.4) were matched from a pool of 26,645 control individuals. After matching, we compared health resource utilisation and costs. RESULTS: From the sickness fund perspective, an average Marfan syndrome patient generates excess annual costs of €2496 compared with a control individual. From the societal perspective, excess annual costs amount to €15,728. For the sickness fund, the strongest cost drivers are inpatient treatment and care by non-physicians. From the sickness fund perspective, the third (25–41 years) and first (0–16 years) age quartiles reveal the greatest surplus in total costs. Marfan syndrome patients have 39% more physician contacts, a 153% longer average length of hospital stay, 119% more inpatient stays, 33% more prescriptions, 236% more medical imaging and 20% higher average prescription costs than control individuals. Depending on the prevalence, the economic impact from the sickness fund perspective ranges between €24.0 million and €61.4 million, whereas the societal economic impact extends from €151.3 million to €386.9 million. CONCLUSIONS: Relative to its low frequency, Marfan syndrome requires high healthcare expenditure. Not only the high costs of Marfan syndrome but also its burden on patients’ lives call for more awareness from policy-makers, physicians and clinical researchers. Consequently, the diagnosis and treatment of Marfan syndrome should begin as soon as possible in order to prevent disease complications, early mortality and substantial healthcare expenditure.
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spelling pubmed-40826192014-07-06 The economic impact of Marfan syndrome: a non-experimental, retrospective, population-based matched cohort study Achelrod, Dmitrij Blankart, Carl Rudolf Linder, Roland von Kodolitsch, Yskert Stargardt, Tom Orphanet J Rare Dis Research BACKGROUND: Marfan syndrome is a rare disease of the connective tissues, affecting multiple organ systems. Elevated morbidity and mortality in these patients raises the issue of costs for sickness funds and society. To date, there has been no study analysing the costs of Marfan syndrome from a sickness fund and societal perspective. OBJECTIVE: To estimate excess health resource utilisation, direct (non-)medical and indirect costs attributable to Marfan syndrome from a healthcare payer and a societal perspective in Germany in 2008. METHODS: A retrospective matched cohort study design is applied, using claims data. For isolating the causal effect of Marfan syndrome on excess costs, a genetic matching algorithm was used to reduce differences in observable characteristics between Marfan syndrome patients and the control group. 892 patients diagnosed with Marfan syndrome (ICD-10 Q87.4) were matched from a pool of 26,645 control individuals. After matching, we compared health resource utilisation and costs. RESULTS: From the sickness fund perspective, an average Marfan syndrome patient generates excess annual costs of €2496 compared with a control individual. From the societal perspective, excess annual costs amount to €15,728. For the sickness fund, the strongest cost drivers are inpatient treatment and care by non-physicians. From the sickness fund perspective, the third (25–41 years) and first (0–16 years) age quartiles reveal the greatest surplus in total costs. Marfan syndrome patients have 39% more physician contacts, a 153% longer average length of hospital stay, 119% more inpatient stays, 33% more prescriptions, 236% more medical imaging and 20% higher average prescription costs than control individuals. Depending on the prevalence, the economic impact from the sickness fund perspective ranges between €24.0 million and €61.4 million, whereas the societal economic impact extends from €151.3 million to €386.9 million. CONCLUSIONS: Relative to its low frequency, Marfan syndrome requires high healthcare expenditure. Not only the high costs of Marfan syndrome but also its burden on patients’ lives call for more awareness from policy-makers, physicians and clinical researchers. Consequently, the diagnosis and treatment of Marfan syndrome should begin as soon as possible in order to prevent disease complications, early mortality and substantial healthcare expenditure. BioMed Central 2014-06-23 /pmc/articles/PMC4082619/ /pubmed/24954169 http://dx.doi.org/10.1186/1750-1172-9-90 Text en Copyright © 2014 Achelrod et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Achelrod, Dmitrij
Blankart, Carl Rudolf
Linder, Roland
von Kodolitsch, Yskert
Stargardt, Tom
The economic impact of Marfan syndrome: a non-experimental, retrospective, population-based matched cohort study
title The economic impact of Marfan syndrome: a non-experimental, retrospective, population-based matched cohort study
title_full The economic impact of Marfan syndrome: a non-experimental, retrospective, population-based matched cohort study
title_fullStr The economic impact of Marfan syndrome: a non-experimental, retrospective, population-based matched cohort study
title_full_unstemmed The economic impact of Marfan syndrome: a non-experimental, retrospective, population-based matched cohort study
title_short The economic impact of Marfan syndrome: a non-experimental, retrospective, population-based matched cohort study
title_sort economic impact of marfan syndrome: a non-experimental, retrospective, population-based matched cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082619/
https://www.ncbi.nlm.nih.gov/pubmed/24954169
http://dx.doi.org/10.1186/1750-1172-9-90
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