2017
Cost-of-illness analysis and regression modeling in cystic fibrosis: a retrospective prevalence-based study
MLČOCH, Tomáš; Jiří KLIMEŠ; Libor FILA; Věra VÁVROVÁ; Veronika SKALICKÁ et. al.Základní údaje
Originální název
Cost-of-illness analysis and regression modeling in cystic fibrosis: a retrospective prevalence-based study
Autoři
MLČOCH, Tomáš; Jiří KLIMEŠ; Libor FILA; Věra VÁVROVÁ; Veronika SKALICKÁ; Marek TURNOVEC; Veronika KRULIŠOVÁ; Jitka JIRČÍKOVÁ; Dana ZEMKOVÁ; Klára VILIMOVSKÁ DĚDEČKOVÁ; Alena BÍLKOVÁ; Vladimíra FRÜHAUFOVÁ; Lukáš HOMOLA; Zuzana FRIEDMANNOVÁ; Radovan DRNEK; Pavel DŘEVÍNEK; Tomáš DOLEŽAL a Milan MACEK
Vydání
EUROPEAN JOURNAL OF HEALTH ECONOMICS, NEW YORK, SPRINGER, 2017, 1618-7598
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
50200 5.2 Economics and Business
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 2.601
Kód RIV
RIV/00216224:14110/17:00096876
Organizační jednotka
Lékařská fakulta
UT WoS
000392437100007
EID Scopus
2-s2.0-84953410327
Klíčová slova anglicky
Cystic fibrosis; Cost-of-illness; Disease severity; Health care costs; FEV1; Generalized linear model
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 20. 3. 2018 16:04, Soňa Böhmová
Anotace
V originále
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. 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. The mean total health care costs were a,notsign14,486 per patient, with the majority of the costs going towards medicinal products and devices (a,notsign10,321). Medical procedures (a,notsign2676) and inpatient care (a,notsign1829) 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). 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.