Cost-of-illness studies in rare diseases: a scoping review

被引:16
|
作者
Garcia-Perez, Lidia [1 ,2 ,3 ,4 ,5 ]
Linertova, Renata [1 ,2 ,3 ,5 ]
Valcarcel-Nazco, Cristina [1 ,2 ,3 ,5 ]
Posada, Manuel [6 ,7 ]
Gorostiza, Inigo [3 ,8 ]
Serrano-Aguilar, Pedro [1 ,3 ,5 ]
机构
[1] Serv Evaluac Serv Canario Salud SESCS, Camino Candelaria 44,1 Planta, Santa Cruz De Tenerife, Spain
[2] Fdn Canaria Inst Invest Sanitaria Canarias FIISC, Camino Candelaria 44,1a Planta, Santa Cruz De Tenerife, Spain
[3] Red Invest Serv Salud Enfermedades Cron REDISSEC, Madrid, Spain
[4] Univ La Laguna, Inst Univ Desarrollo Reg IUDR, Campus Guajara,Camino Hornera S-N, San Cristobal la Laguna 38071, Spain
[5] Univ La Laguna, Ctr Invest Biomed Canarias CIBICAN, San Cristobal la Laguna, Spain
[6] Inst Hlth Carlos III, Inst Rare Dis Res, Monforte Lemos 5, Madrid 28029, Spain
[7] CIBER Rare Dis CIBERER, Madrid, Spain
[8] Basurto Univ Hosp, Osakidetza Basque Hlth Serv, Ave Montevideo 18, Bilbao, Spain
关键词
Cost-of-illness; Economic burden; Rare diseases; Scoping review;
D O I
10.1186/s13023-021-01815-3
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
ObjectiveThe aim of this scoping review was to overview the cost-of-illness studies conducted in rare diseases. MethodsWe searched papers published in English in PubMed from January 2007 to December 2018. We selected cost-of-illness studies on rare diseases defined as those with prevalence lower than 5 per 10,000 cases. Studies were selected by one researcher and verified by a second researcher. Methodological characteristics were extracted to develop a narrative synthesis. ResultsWe included 63 cost-of-illness studies on 42 rare diseases conducted in 25 countries, and 9 systematic reviews. Most studies (94%) adopted a prevalence-based estimation, where the predominant design was cross-sectional with a bottom-up approach. Only four studies adopted an incidence-based estimation. Most studies used questionnaires to patients or caregivers to collect resource utilisation data (67%) although an important number of studies used databases or registries as a source of data (48%). Costs of lost productivity, non-medical costs and informal care costs were included in 68%, 60% and 43% of studies, respectively.ConclusionThis review found a paucity of cost-of-illness studies in rare diseases. However, the analysis shows that the cost-of-illness studies of rare diseases are feasible, although the main issue is the lack of primary and/or aggregated data that often prevents a reliable estimation of the economic burden.
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页数:11
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