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1.
Eur J Haematol ; 101(4): 435-456, 2018 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-29889317

RESUMO

Hemophilia is associated with a high financial burden on individuals, healthcare systems, and society. The development of inhibitors significantly increases the socioeconomic burden of the diseases. This study aimed to review and describe the burden of hemophilia with inhibitors, providing a reference scenario to assess the impact of new products in the real word. Two systematic literature reviews were performed to collect data on (i) health economics and (ii) health-related quality of life evidences in hemophilic patients with inhibitors. The costs associated with patients with hemophilia and inhibitors are more than 3 times greater than the costs incurred in those without inhibitors, with an annual cost per patient that can be higher than €1 000 000. The costs of bypassing agents account for the large majority of the total healthcare direct costs for hemophilia treatment. The quality of life is more compromised in patients with hemophilia and inhibitors compared to those without inhibitors, in particular the physical domains, whereas mental domains were comparable to that of the general population. The development of an inhibitor has a high impact on costs and quality of life. New treatments have the potential to change positively the management and socioeconomic burden of hemophilia with inhibitors.


Assuntos
Efeitos Psicossociais da Doença , Hemofilia A/epidemiologia , Hemofilia B/epidemiologia , Coagulação Sanguínea , Custos de Cuidados de Saúde , Hemofilia A/sangue , Hemofilia A/imunologia , Hemofilia A/terapia , Hemofilia B/sangue , Hemofilia B/imunologia , Hemofilia B/terapia , Humanos , Isoanticorpos/sangue , Isoanticorpos/imunologia , Qualidade de Vida , Fatores Socioeconômicos , Inquéritos e Questionários
2.
Value Health ; 16(5): 814-22, 2013.
Artigo em Inglês | MEDLINE | ID: mdl-23947975

RESUMO

OBJECTIVE: To estimate a value set for the calculation of Italian-specific quality-adjusted life years (QALYs), based on preferences elicited on EuroQol five-dimensional (EQ-5D) questionnaire health states using the time trade-off technique. METHODS: The revised standard Measurement and Valuation of Health protocol was followed. Twenty-five health states, divided into three groups and given to 450 subjects, were selected to obtain 300 observations per state. Subjects aged 18 to 75 years were recruited to be representative of the Italian general adult population for age, sex, and geographical distribution. To improve efficiency, face-to-face interviews were conducted by using the Computer Assisted Personal Interviewing approach. Several random effects regression models were tested to predict the full set of EQ-5D questionnaire health states. Model selection was based on logical consistency of the estimates, sign and magnitude of the regression coefficients, goodness of fit, and parsimony. RESULTS: The model that satisfied the criteria of logical consistency and was more efficient includes 10 main effect dummy variables for the EQ-5D questionnaire domain levels and the D1 interaction term, which accounts for the number of dimensions at levels 2 or 3 beyond the first. This model has an R(2) of 0.389 and a mean absolute error of 0.03, which are comparable to or better than those of models used in other countries. The utility estimates after state 11111 range from 0.92 (21111) to -0.38 (33333). Italian utility estimates are higher than those estimated in the United Kingdom and Spain and used so far to assess QALYs and conduct cost-utility evaluations in Italy. CONCLUSIONS: A specific value set is now available to calculate QALYs for the conduction of health economic studies targeted at the Italian health care system.


Assuntos
Nível de Saúde , Anos de Vida Ajustados por Qualidade de Vida , Adolescente , Adulto , Fatores Etários , Idoso , Atitude Frente a Saúde , Análise Custo-Benefício , Feminino , Humanos , Itália , Masculino , Pessoa de Meia-Idade , Psicometria , Qualidade de Vida , Fatores Sexuais , Fatores Socioeconômicos , Fatores de Tempo , Adulto Jovem
3.
Pharmacoeconomics ; 36(3): 263-284, 2018 03.
Artigo em Inglês | MEDLINE | ID: mdl-29170896

RESUMO

BACKGROUND: Cost is currently one of the most important aspects in haemophilia care. Factor concentrates absorb more than 90% of healthcare direct costs of haemophilia care, and the debate regarding the high cost of haemophilia treatments and their different use across different countries is increasing. OBJECTIVE: The objective of this study was to review cost-effectiveness analyses conducted on treatment options in haemophilia, focusing on their results and their strengths and limitations; to highlight the possible issues associated with economic evaluations of new treatment options. METHODS: Electronic searches in PubMed and EMBASE were performed to retrieve papers published between November 2015 and September 2017 to update the previous review of economic evaluations of haemophilia treatments by Drummond et al. Reference lists of included articles and reviews were examined for relevant studies, which were assessed for their quality and their empirical results. RESULTS: Twenty-six relevant economic analyses were identified; 15 (57.7%) were conducted in patients with haemophilia with inhibitors while 11 (42.3%) involved patients without inhibitors. There were methodological variations among the included studies, and differences in the treatment schemes make a comparative assessment of interventions for patients with haemophilia difficult. Only immune tolerance induction showed consistent results in its cost-saving profile compared with the treatment with bypassing agents. CONCLUSIONS: Economic evaluations of haemophilia treatments are increasing, but the identification of general cost-effectiveness trends is still difficult in these studies. We are now facing a new era in haemophilia management with a soaring need for high-quality economic evaluations, performed through proactive collaboration between clinical experts, budget holders and health economists.


Assuntos
Análise Custo-Benefício , Previsões , Hemofilia A/economia , Hemofilia B/economia , Redução de Custos/estatística & dados numéricos , Humanos
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