Background: There are over 16.8 million rare disease patients in China, representing a large community that should not be neglected. To provide a basis for policy-makers, a comprehensive analysis of the status quo, unmet needs, difficulty caused by the rare disease is essential.
Methods: Therefore, a questionnaire-based study of patients and care-givers was performed.
Findings: A total of 1,959 patients and care-givers participated, representing 104 rare diseases, such as lysosomal diseases, hemophilia, and muscular dystrophy. The diagnosis was delayed for 1.4 ± 3.0 years, and patients experienced 1.6 ± 3.8 misdiagnoses between 3.2 ± 2.4 hospitals. The hospitals where diagnoses made were highly concentrated in 10 large hospitals (43.8%) and 5 big cities (42.1%), indicating a significant inequality of medical resources. The disease often led to difficulty in social life, education, and employment, as well as financial burden that was seldom covered by medical insurance. A battery of standardized tests, including SF-36, PHQ-9, PHQ-15, GAD-7, and PSQI, demonstrated poor health status, depression, somatization, anxiety, and sleeping issues among both patients and care-givers (p<0.05).
To examine the influence of age, disease type, and relationship to patients on the scores in these tests, statistical analysis with a general linear model was conducted. It was also shown that poor health, anxiety, depression, somatization, and sleeping problems were more prevalent in patients than in care-givers, and more prevalent in more severe diseases (e.g., hemophilia, Dravet) or undiagnosed than in other diseases.
Interpretations: This study identified the lack of rare disease awareness and legislative support as the major challenge to rare diseases in China, and makes key recommendations for policy-makers, including legislating orphan drug act, raising rare disease awareness, and protecting rights in education and employment.

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This is a list of supplementary files associated with this preprint. Click to download.
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Posted 09 Oct, 2020
Posted 09 Oct, 2020
Background: There are over 16.8 million rare disease patients in China, representing a large community that should not be neglected. To provide a basis for policy-makers, a comprehensive analysis of the status quo, unmet needs, difficulty caused by the rare disease is essential.
Methods: Therefore, a questionnaire-based study of patients and care-givers was performed.
Findings: A total of 1,959 patients and care-givers participated, representing 104 rare diseases, such as lysosomal diseases, hemophilia, and muscular dystrophy. The diagnosis was delayed for 1.4 ± 3.0 years, and patients experienced 1.6 ± 3.8 misdiagnoses between 3.2 ± 2.4 hospitals. The hospitals where diagnoses made were highly concentrated in 10 large hospitals (43.8%) and 5 big cities (42.1%), indicating a significant inequality of medical resources. The disease often led to difficulty in social life, education, and employment, as well as financial burden that was seldom covered by medical insurance. A battery of standardized tests, including SF-36, PHQ-9, PHQ-15, GAD-7, and PSQI, demonstrated poor health status, depression, somatization, anxiety, and sleeping issues among both patients and care-givers (p<0.05).
To examine the influence of age, disease type, and relationship to patients on the scores in these tests, statistical analysis with a general linear model was conducted. It was also shown that poor health, anxiety, depression, somatization, and sleeping problems were more prevalent in patients than in care-givers, and more prevalent in more severe diseases (e.g., hemophilia, Dravet) or undiagnosed than in other diseases.
Interpretations: This study identified the lack of rare disease awareness and legislative support as the major challenge to rare diseases in China, and makes key recommendations for policy-makers, including legislating orphan drug act, raising rare disease awareness, and protecting rights in education and employment.

Figure 1

Figure 2
This is a list of supplementary files associated with this preprint. Click to download.
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