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Cost-of-illness analysis and regression modeling in cystic fibrosis: a retrospective prevalence-based study
T. Mlčoch, J. Klimeš, L. Fila, V. Vávrová, V. Skalická, M. Turnovec, V. Krulišová, J. Jirčíková, D. Zemková, KV. Dědečková, A. Bílková, V. Frühaufová, L. Homola, Z. Friedmannová, R. Drnek, P. Dřevínek, T. Doležal, M. Macek,
Jazyk angličtina Země Německo
Typ dokumentu časopisecké články
Grantová podpora
NT13770
MZ0
CEP - Centrální evidence projektů
Digitální knihovna NLK
Plný text - Článek
Zdroj
NLK
ProQuest Central
od 2001 do Před 1 rokem
Medline Complete (EBSCOhost)
od 2002-03-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 2001 do Před 1 rokem
Health Management Database (ProQuest)
od 2001 do Před 1 rokem
Public Health Database (ProQuest)
od 2001 do Před 1 rokem
- MeSH
- cystická fibróza ekonomika epidemiologie patofyziologie MeSH
- dítě MeSH
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- náklady na zdravotní péči statistika a číselné údaje MeSH
- osobní újma zaviněná nemocí * MeSH
- předškolní dítě MeSH
- prevalence MeSH
- pseudomonádové infekce ekonomika epidemiologie MeSH
- regresní analýza MeSH
- retrospektivní studie MeSH
- spirometrie MeSH
- Check Tag
- dítě MeSH
- dospělí MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
BACKGROUND: Economic data pertaining to cystic fibrosis (CF), is limited in Europe generally, and completely lacking in Central and Eastern Europe. We performed an analysis of all direct costs associated with CF relative to key disease features and laboratory examinations. METHODS: A retrospective prevalence-based cost-of-illness (COI) study was performed in a representative cohort of 242 CF patients in the Czech Republic, which represents about 65 % of all Czech CF patients. Medical records and invoices to health insurance companies for reference year 2010 were analyzed. RESULTS: The mean total health care costs were €14,486 per patient, with the majority of the costs going towards medicinal products and devices (€10,321). Medical procedures (€2676) and inpatient care (€1829) represented a much smaller percentage of costs. A generalized linear model showed that the strongest cost drivers, for all cost categories, were associated with patient age and lung disease severity (assessed using the FEV1 spirometric parameter), when compounded by chronic Pseudomonas aeruginosa airway infections. Specifically, maximum total costs are around the age 16 years; a FEV1 increase of 1 % point represented a cost decrease of: 0.9 % (medicinal products), 1.7 % (total costs), 2.8 % (procedures) and 7.0 % (inpatient care). CONCLUSIONS: COI analysis and regression modeling using the most recent data available can provide a better understanding of the overall economic CF burden. A comparison of our results with other methodologically similar studies demonstrates that although overall costs may differ, FEV1 can nonetheless be utilized as a generally transferrable indicator of the relative economic impact of CF.
Division of Health Insurance University Hospital Motol Prague Czech Republic
Institute of Health Economics and Technological Assessment Prague Czech Republic
Citace poskytuje Crossref.org
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- $a BACKGROUND: Economic data pertaining to cystic fibrosis (CF), is limited in Europe generally, and completely lacking in Central and Eastern Europe. We performed an analysis of all direct costs associated with CF relative to key disease features and laboratory examinations. METHODS: A retrospective prevalence-based cost-of-illness (COI) study was performed in a representative cohort of 242 CF patients in the Czech Republic, which represents about 65 % of all Czech CF patients. Medical records and invoices to health insurance companies for reference year 2010 were analyzed. RESULTS: The mean total health care costs were €14,486 per patient, with the majority of the costs going towards medicinal products and devices (€10,321). Medical procedures (€2676) and inpatient care (€1829) represented a much smaller percentage of costs. A generalized linear model showed that the strongest cost drivers, for all cost categories, were associated with patient age and lung disease severity (assessed using the FEV1 spirometric parameter), when compounded by chronic Pseudomonas aeruginosa airway infections. Specifically, maximum total costs are around the age 16 years; a FEV1 increase of 1 % point represented a cost decrease of: 0.9 % (medicinal products), 1.7 % (total costs), 2.8 % (procedures) and 7.0 % (inpatient care). CONCLUSIONS: COI analysis and regression modeling using the most recent data available can provide a better understanding of the overall economic CF burden. A comparison of our results with other methodologically similar studies demonstrates that although overall costs may differ, FEV1 can nonetheless be utilized as a generally transferrable indicator of the relative economic impact of CF.
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