Chapter title |
Cost-of-Illness in Rare Diseases
|
---|---|
Chapter number | 17 |
Book title |
Rare Diseases Epidemiology: Update and Overview
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-3-319-67144-4_17 |
Pubmed ID | |
Book ISBNs |
978-3-31-967142-0, 978-3-31-967144-4
|
Authors |
Renata Linertová, Lidia García-Pérez, Iñigo Gorostiza |
Abstract |
Cost-of-illness (COI) studies quantify the economic burden of a disease, including direct healthcare and non-healthcare costs and productivity losses. Different approaches can be adopted to evaluate the resources associated to a disease and to calculate the total costs. Prevalence-based studies estimate the total costs of a disease during a given period, while incidence-based studies measure lifetime costs from onset until death. Data can be collected from individuals, using a bottom-up approach, or from population statistics, using a top-down approach. Different perspectives are possible, but the broadest and also mostly used is the societal one. Appropriate discounting should be applied for future costs and a sensitivity analyses of main parameters should be performed. The main limitation of COI studies is that they don't account the outcomes or benefits of possible treatments.There is a lack of COI studies in the field of rare diseases. A multinational COI study (BURQOL-RD) evaluated recently the burden of 10 rare diseases in Europe, using a prevalence-based method with a bottom-up approach to quantify resources from a societal perspective, which is the mostly used methodology for COI studies in rare diseases; however, several other studies illustrate different approaches to conduct COI analysis in this field, such as incidence-based methods or narrower perspectives.COI studies are useful to inform policy-makers about the magnitude of a disease. To support correctly the decision-making process, it is necessary to identify the cost-drivers through COI studies with robust design and standardized methodology. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 9 | 15% |
Student > Ph. D. Student | 8 | 13% |
Student > Master | 5 | 8% |
Student > Doctoral Student | 4 | 7% |
Student > Bachelor | 4 | 7% |
Other | 10 | 16% |
Unknown | 21 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 26% |
Economics, Econometrics and Finance | 5 | 8% |
Biochemistry, Genetics and Molecular Biology | 4 | 7% |
Nursing and Health Professions | 4 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Other | 4 | 7% |
Unknown | 26 | 43% |