Wilson L
School of Pharmacy, University of California, San Francisco 94143, USA.
Semin Arthritis Rheum. 1997 Oct;27(2):73-84. doi: 10.1016/s0049-0172(97)80008-x.
To determine the societal costs of scleroderma (SSc), a rare chronic connective tissue disease that affects approximately 98,000 Americans. Lack of reliable national databases limit rare disease cost studies, and this study suggests methods of using multiple data sources to assess the costs of rare diseases.
Primary and secondary data sources were used to calculate direct and indirect costs of SSc, including discounted lifetime mortality and morbidity costs. A prevalence-based, human capital approach was used. Sensitivity analyses were used to vary parameters that are uncertain, such as prevalence, mortality, and labor costs.
Annual direct and indirect costs of SSc in the United States are $1.5 billion. Morbidity represents the major cost burden, with costs of $819 million (56%) of total costs. The current value of lifetime earnings lost was $179 million (12%) or $300,000 per death. Direct costs were $462 million (32%) or $4,731 per person annually, indicating that costs are spread over the long disease duration.
This study provides one model for the assessment of rare disease costs. Triangulation of data sources and sensitivity analyses are important for determining the costs of rare diseases. The high cost of SSc, despite its low prevalence, suggests that the burden of rare chronic diseases can be high. The high morbidity costs reflect the young age of onset of the disease as well as the need for treatments to decrease morbidity costs. Local shared databases and national surveys are needed to improve cost estimates of rare diseases.
确定硬皮病(SSc)的社会成本。硬皮病是一种罕见的慢性结缔组织疾病,约有98000名美国人受其影响。缺乏可靠的国家数据库限制了罕见病成本研究,本研究提出了利用多个数据源评估罕见病成本的方法。
使用一级和二级数据源计算硬皮病的直接和间接成本,包括贴现后的终身死亡率和发病率成本。采用基于患病率的人力资本方法。进行敏感性分析以改变不确定的参数,如患病率、死亡率和劳动力成本。
美国硬皮病的年度直接和间接成本为15亿美元。发病率是主要的成本负担,占总成本的8.19亿美元(56%)。终身收入损失的现值为1.79亿美元(12%),即每例死亡30万美元。直接成本为4.62亿美元(32%),即每人每年4731美元,这表明成本在漫长的疾病过程中分摊。
本研究为评估罕见病成本提供了一个模型。数据源的三角测量和敏感性分析对于确定罕见病成本很重要。尽管硬皮病患病率低,但其成本高昂,这表明罕见慢性病的负担可能很高。高发病率成本反映了该疾病发病年龄较轻以及需要通过治疗来降低发病率成本。需要地方共享数据库和全国性调查来改进罕见病成本估计。