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Linertová R, García-Pérez L, Gorostiza I. Cost-of-Illness in Rare Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 1031:283-297. [PMID: 29214579 DOI: 10.1007/978-3-319-67144-4_17] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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.
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Affiliation(s)
- Renata Linertová
- Fundación Canaria de Investigación Sanitaria (FUNCANIS), Santa Cruz de Tenerife, Spain. .,Red de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC), Madrid, Spain. .,Centro de Investigaciones Biomédicas de Canarias (CIBICAN), Santa Cruz de Tenerife, Spain.
| | - Lidia García-Pérez
- Fundación Canaria de Investigación Sanitaria (FUNCANIS), Santa Cruz de Tenerife, Spain.,Red de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC), Madrid, Spain.,Centro de Investigaciones Biomédicas de Canarias (CIBICAN), Santa Cruz de Tenerife, Spain
| | - Iñigo Gorostiza
- Red de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC), Madrid, Spain.,Basurto University Hospital, Osakidetza, Spain
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Rencz F, Gulácsi L, Drummond M, Golicki D, Prevolnik Rupel V, Simon J, Stolk EA, Brodszky V, Baji P, Závada J, Petrova G, Rotar A, Péntek M. EQ-5D in Central and Eastern Europe: 2000-2015. Qual Life Res 2016; 25:2693-2710. [PMID: 27472992 DOI: 10.1007/s11136-016-1375-6] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/18/2016] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Cost per quality-adjusted life year data are required for reimbursement decisions in many Central and Eastern European (CEE) countries. EQ-5D is by far the most commonly used instrument to generate utility values in CEE. This study aims to systematically review the literature on EQ-5D from eight CEE countries. METHODS An electronic database search was performed up to 1 July 2015 to identify original EQ-5D studies from the countries of interest. We analysed the use of EQ-5D with respect to clinical areas, methodological rigor, population norms and value sets. RESULTS We identified 143 studies providing 152 country-specific results with a total sample size of 81,619: Austria (n = 11), Bulgaria (n = 6), Czech Republic (n = 18), Hungary (n = 47), Poland (n = 51), Romania (n = 2), Slovakia (n = 3) and Slovenia (n = 14). Cardiovascular (21 %), neurologic (17 %), musculoskeletal (15 %) and endocrine, nutritional and metabolic diseases (13 %) were the most frequently studied clinical areas. Overall, 112 (78 %) of the studies reported EQ VAS results and 86 (60 %) EQ-5D index scores, of which 27 (31 %) did not specify the applied tariff. Hungary, Poland and Slovenia have population norms. Poland and Slovenia also have a national value set. CONCLUSIONS Increasing use of EQ-5D is observed throughout CEE. The spread of health technology assessment activities in countries seems to be reflected in the number of EQ-5D studies. However, improvement in informed use and methodological quality of reporting is needed. In jurisdictions where no national value set is available, in order to ensure comparability we recommend to apply the most frequently used UK tariff. Regional collaboration between CEE countries should be strengthened.
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Affiliation(s)
- Fanni Rencz
- Department of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, H-1093, Hungary.,Semmelweis University Doctoral School of Clinical Medicine, Üllői út 26., Budapest, H-1085, Hungary
| | - László Gulácsi
- Department of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, H-1093, Hungary.
| | - Michael Drummond
- Centre for Health Economics, University of York, Heslington, York, YO10 5DD, UK
| | - Dominik Golicki
- Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Poland, ul. Banacha 1b, 02-097, Warsaw, Poland
| | | | - Judit Simon
- Department of Health Economics, Centre for Public Health, Medical University of Vienna, Kinderspitalgasse 15/1, 1090, Vienna, Austria
| | - Elly A Stolk
- Institute of Health Policy and Management, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands
| | - Valentin Brodszky
- Department of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, H-1093, Hungary
| | - Petra Baji
- Department of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, H-1093, Hungary
| | - Jakub Závada
- Institute of Rheumatology, 1st Faculty of Medicine, Charles University, Na Slupi 4, 128 00, Prague, Czech Republic
| | - Guenka Petrova
- Department of Social Pharmacy and Pharmacoeconomics, Faculty of Pharmacy, Medical University, Sofia, Bulgaria
| | - Alexandru Rotar
- Department of Social Medicine, University of Amsterdam, Meibergdreef 9, 22660, 1100 DD, Amsterdam, The Netherlands
| | - Márta Péntek
- Department of Health Economics, Corvinus University of Budapest, Fővám tér 8., Budapest, H-1093, Hungary
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Péntek M, Gulácsi L, Brodszky V, Baji P, Boncz I, Pogány G, López-Bastida J, Linertová R, Oliva-Moreno J, Serrano-Aguilar P, Posada-de-la-Paz M, Taruscio D, Iskrov G, Schieppati A, von der Schulenburg JMG, Kanavos P, Chevreul K, Persson U, Fattore G. Social/economic costs and health-related quality of life of mucopolysaccharidosis patients and their caregivers in Europe. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2016; 17 Suppl 1:89-98. [PMID: 27062257 DOI: 10.1007/s10198-016-0787-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2015] [Accepted: 01/13/2016] [Indexed: 06/05/2023]
Abstract
OBJECTIVES To assess the health-related quality of life (HRQOL) of patients with mucopolysaccharidosis (MPS) and their caregivers and to quantify the disease-related costs from a societal perspective. METHODS In the context of a multi-country study of rare diseases (BURQOL-RD project), a cross-sectional survey was performed among MPS patients in seven European countries. Data on demographic characteristics, health resource utilization, informal care, and loss of labor productivity were collected. The EQ-5D, Barthel index (BI), and Zarit burden interview (ZBI) questionnaires were used to assess patients' and their informal caregivers' quality of life, patients' functional ability, and caregivers' burden, respectively. RESULTS Altogether, 120 patients (children 62 %, females 40 %) and 66 caregivers completed the questionnaire. Patients' mean age was 16.5 years and median age at diagnosis was 3 years. Adult patients' average EQ-5D and EQ VAS scores varied across countries from 0.13 to 0.43 and 30.0 to 62.2, respectively, mean BI was 46.7, and ZBI was 32.7. Mean informal care time was 51.3 h/week. The mean total annual cost per patient (reference year 2012) was €24,520 in Hungary, €25,993 in France, €84,921 in Italy, €94,384 in Spain, and €209,420 in Germany. Costs are also shown to differ between children and adults. Direct costs accounted for most of the costs in all five countries (80, 100, 99, 98, and 93 %, respectively). CONCLUSIONS MPS patients experience substantial loss of HRQOL and their families take a remarkable part in their care. Although utilization of health and social care resources varies significantly across countries, MPS incurs considerable societal costs in all the countries studied.
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Affiliation(s)
- Márta Péntek
- Department of Health Economics, Corvinus University of Budapest, Budapest, Hungary.
| | - László Gulácsi
- Department of Health Economics, Corvinus University of Budapest, Budapest, Hungary
| | - Valentin Brodszky
- Department of Health Economics, Corvinus University of Budapest, Budapest, Hungary
| | - Petra Baji
- Department of Health Economics, Corvinus University of Budapest, Budapest, Hungary
| | - Imre Boncz
- Institute for Health Insurance, University of Pécs, Pécs, Hungary
| | - Gábor Pogány
- Hungarian Federation of People with Rare and Congenital Diseases (RIROSZ), Budapest, Hungary
| | - Julio López-Bastida
- University of Castilla-La Mancha, Talavera de la Reina, Toledo, Spain
- Red de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC), Madrid, Spain
| | - Renata Linertová
- Red de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC), Madrid, Spain
- Fundación Canaria de Investigación Sanitaria (FUNCANIS), Las Palmas de Gran Canaria, Spain
| | - Juan Oliva-Moreno
- Red de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC), Madrid, Spain
- University of Castilla-La Mancha, Toledo, Spain
| | - Pedro Serrano-Aguilar
- Red de Investigación en Servicios Sanitarios en Enfermedades Crónicas (REDISSEC), Madrid, Spain
- Evaluation and Planning Service at Canary Islands Health Service, Santa Cruz de Tenerife, Spain
| | | | - Domenica Taruscio
- National Centre for Rare Diseases, Istituto Superiore di Sanità (ISS), Rome, Italy
| | - Georgi Iskrov
- Institute of Rare Diseases, Plovdiv, Bulgaria
- Department of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Arrigo Schieppati
- Centro di Ricerche Cliniche per Malattie Rare Aldo e Cele Daccò, Istituto di Ricerche Farmacologiche Mario Negri, Ranica (Bergamo), Italy
| | | | - Panos Kanavos
- Department of Social Policy and LSE Health, London School of Economics and Political Science, London, UK
| | - Karine Chevreul
- URC Eco Ile de France, AP-HP, Hôtel Dieu, Paris, France
- Université Paris Diderot, Sorbonne Paris Cité, ECEVE, UMRS 1123, Paris, France
- INSERM, ECEVE, U1123, Paris, France
| | - Ulf Persson
- The Swedish Institute for Health Economics, Lund, Sweden
| | - Giovanni Fattore
- Centre for Research on Health and Social Care Management (CERGAS), Bocconi University, Milan, Italy
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