Patterns of the Health and Economic Burden of 33 Rare Diseases in China: Nationwide Web-Based Study

• Main Authors: Jiazhou Yu (Author), Shanquan Chen (Author), Huanyu Zhang (Author), Shuyang Zhang (Author), Dong Dong (Author)
• Format: Book
• Published: JMIR Publications, 2024-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2369-2960; 10.2196/57353
• Keywords: Public aspects of medicine; RA1-1270
• Source: JMIR Public Health and Surveillance, Vol 10, p e57353 (2024)

BackgroundRare diseases (RDs) affect millions of individuals collectively worldwide, contributing to significant burdens on patients and families in various aspects. However, there is a lack of evidence on the underlying patterns of burdens among diverse RDs for informing targeted social and health policies to address the unmet needs of this vulnerable population. ObjectiveThis study aimed to examine the underlying patterns of the health and economic burden of 33 different RDs in China and identify the potential determinants. MethodsA nationwide internet-based cross-sectional survey was conducted in China between 2019 and 2020. Physical and mental health burden was measured by health-related quality of life. Economic burden was evaluated based on the proportions of direct medical, direct nonmedical, and indirect costs relative to household income. We used cluster analysis to identify patterns of health and economic burdens and conducted multinomial logistic regression to explore potential predictors of cluster membership. ResultsThe study included 8454 adults and 8491 children affected by 33 RDs. The following 3 clusters were identified: "extremely high burden" (representing 92/8454, 1.1% and 19/8491, 0.2% of adult and pediatric patients, respectively), "overall high burden" (5933/8454, 70.2% and 4864/8491, 57.3%, respectively), and "overall low burden" (2429/8454, 28.7% and 3608/8491, 42.5%, respectively). Wilson disease, Marfan syndrome, and Langerhans cell histiocytosis more likely resulted in an "extremely high burden" than others. Poverty was significantly associated with being in this extremely high burden group. Diseases causing neuromuscular symptoms and requiring long-term treatment (eg, amyotrophic lateral sclerosis, spinocerebellar ataxia, and Dravet syndrome) were prevalent in the "overall high burden" group. Key predictors of this group included older age, lower socioeconomic status, diagnostic delay, and comorbidity. ConclusionsThis study provides novel and valuable evidence on the burden of RDs in developing regions like China. The findings reveal significant disparities in the impact of RDs, emphasizing the need for targeted health care interventions and policies.