Incidence and prevalence of 121 rare diseases in China: Current status and challenges

Computer-assisted patient identification tool in inborn errors of metabolism - potential for rare disease patient registry and big data analysis

BACKGROUND

Patient registries are crucial for rare disease management. However, manual registry construction is labor-intensive and often not user-friendly. Our goal is to establish Hong Kong's first computer-assisted patient identification tool for rare diseases, starting with inborn errors of metabolism (IEM).

METHODS

Patient data from 2010 to 2019 was retrieved from electronic databases. Through big data analytics, patient data were filtered based on specific IEM-related biochemical and genetic tests. Clinical notes were analyzed using a rule-based natural language processing technique called regular expression. The algorithm classified each extracted paragraph as "IEM-related" or "not IEM-related." Pathologists reviewed the paragraphs for curation, and the algorithm's performance was evaluated.

RESULTS

Out of 46,419 patients with IEM-related tests, the algorithm identified 100 as "IEM-related." After pathologists' validation, 96 cases were confirmed as true IEM, with 1 uncertain case and 3 false positives. A secondary ascertainment yielded a sensitivity of 92.3% compared to our previously published IEM cohort.

CONCLUSIONS

Our artificial intelligence approach provides a novel method to identify IEM patients, facilitating the creation of a centralized, computer-assisted rare disease patient registry at the local and national levels. This data can potentially be accessed by multiple stakeholders for collaborative research and to enhance healthcare management for rare diseases.

Epidemiology and distribution of 207 rare diseases in China: A systematic literature review

Epidemiological data on rare diseases in China are currently limited. The objective of this study was to provide a comprehensive understanding of the prevalence and incidence of rare diseases by systematically analyzing the available epidemiological data. We conducted a comprehensive search of English and Chinese databases, the Incidence and Prevalence Database, the Chinese Rare Disease Guideline, and the Taiwan Health Promotion Administration from 2010 to 2023. We identified the top diseases and regions based on epidemiological data and present the maximum, minimum, and median prevalence and incidence values in tables and forest plots. 1,264 prevalence and incidence data were retrieved from 277 studies, guidelines and official websites, covering 110 rare diseases (53.1%) and 32 regions (94.1%). In terms of geographical regions, incidence or prevalence data were available for 32 regions (94.1%), excluding Tibet Hui Autonomous Region and Macao Special Administrative Region. In terms of rate, 60 and 77 out of 207 diseases (29.0% and 37.2%) had available incidence and prevalence data, respectively. Eight diseases had an incidence rate equal to or greater than that of 1,000 patients per million. The present study provides a comprehensive epidemiological analysis and valuable insights into the prevalence and incidence of rare diseases in China. Our findings underscore the pressing need for sustained drug research and medical support for individuals and families impacted by rare diseases.

Knowledge and Attitudes of Clinical Trials among Patients with Rare Diseases and the Guardians in China

BACKGROUND

Conducting of clinical trials for rare diseases faces multiple challenges. Patients' cognition and attitude toward clinical trials are crucial, which may affect their participation and compliance, and affect the schedule of clinical trials eventually.

OBJECTIVE AND METHOD

This study aims to explore the knowledge and attitudes of clinical trials of patients with rare diseases or patients' guardians. An anonymous cross-sectional survey was conducted from November 1, 2021, to November 30, 2021. A total of 1131 valid questionnaires were included. Among them, 417 were filled in by the patients themselves, and 714 were answered by the patients' guardians.

RESULTS

The average score of clinical trial knowledge of the patients (8.25) was lower than that of the guardians (8.85). The willingness of the patients to participate in clinical trials was high (4.28), and the willingness of the patients' guardians was also high for patients to participate in clinical trials (4.35). The main promoting factors of clinical trial participation were the possibility of curing the disease. The main hindering factors of participation in clinical trials were lack of access to clinical trial information and concern about the safety and effectiveness of the trial drug.

CONCLUSIONS

In conclusion, most respondents had some basic knowledge of clinical trials and high willingness to participate in clinical trials. But there were some cognitive deficiencies about clinical trials and many hindering factors to participate in clinical trials. Clinical trials of rare diseases should be patient-centered and truly meet the unmet clinical, psychological, and social needs of patients with rare diseases.

RDKG-115: Assisting drug repurposing and discovery for rare diseases by trimodal knowledge graph embedding

Rare diseases (RDs) may affect individuals in small numbers, but they have a significant impact on a global scale. Accurate diagnosis of RDs is challenging, and there is a severe lack of drugs available for treatment. Pharmaceutical companies have shown a preference for drug repurposing from existing drugs developed for other diseases due to the high investment, high risk, and long cycle involved in RD drug development. Compared to traditional approaches, knowledge graph embedding (KGE) based methods are more efficient and convenient, as they treat drug repurposing as a link prediction task. KGE models allow for the enrichment of existing knowledge by incorporating multimodal information from various sources. In this study, we constructed RDKG-115, a rare disease knowledge graph involving 115 RDs, composed of 35,643 entities, 25 relations, and 5,539,839 refined triplets, based on 372,384 high-quality literature and 4 biomedical datasets: DRKG, Pathway Commons, PharmKG, and PMapp. Subsequently, we developed a trimodal KGE model containing structure, category, and description embeddings using reverse-hyperplane projection. We utilized this model to infer 4199 reliable new inferred triplets from RDKG-115. Finally, we calculated potential drugs and small molecules for each of the 115 RDs, taking multiple sclerosis as a case study. This study provides a paradigm for large-scale screening of drug repurposing and discovery for RDs, which will speed up the drug development process and ultimately benefit patients with RDs. The source code and data are available at https://github.com/ZhuChaoY/RDKG-115.

Diagnosis, treatment, and research status of rare diseases related to birth defects

Rare diseases are diseases that occur at low prevalence, and most of them are chronic and serious diseases that are often life-threatening. Currently, there is no unified definition for rare diseases. The diagnosis, treatment, and research of rare diseases have become the focus of medicine and biopharmacology, as well as the breakthrough point of clinical and basic research. Birth defects are the hard-hit area of rare diseases and the frontiers of its research. Since most of these defects have a genetic basis, early screening and diagnosis have important scientific value and social significance for the prevention and control of such diseases. At present, there is no effective treatment for most rare diseases, but progress in prenatal diagnosis and screening can prevent the occurrence of diseases and help prevent and treat rare diseases. This article discusses the progress in genetic-related birth defects and rare diseases.

Incidence and prevalence of 121 rare diseases in China: Current status and challenges: 2022 revision

The current study updated data on the incidence and prevalence of 121 rare diseases listed in China's First List of Rare Diseases to provide rationales and references for the development and promotion of rare-disease-related policies. The National Health Commission of the People's Republic of China issued the Rare Disease Diagnosis and Treatment Guide (2019) (denoted here as China's Rare Disease Diagnosis and Treatment Guide). Then 121 diseases were registered with the national rare disease diagnosis and treatment network. The incidence/prevalence of 121 rare diseases varied from country to country. Data are available for a total of 76 rare diseases (76 of 121 rare diseases, 62.81%) in China, including data on the incidence of 23 rare diseases (19.01%) and data on the prevalence of 66 (54.55%). There are data on the incidence/prevalence of 112 rare diseases (112 of 121 rare diseases, 92.56%) at the global level, including data on the incidence of 86 rare diseases (71.07%) and data on the prevalence of 91 (75.21%). On average, the incidence of progressive muscular dystrophies, hyperphenylalaninemia, citrullinemia, and methylmalonic acidemia is over 1/10,000 in China. The prevalence of coronary artery ectasia, congenital scoliosis, retinitis pigmentosa, severe congenital neutropenia, congenital hyperinsulinemic hypoglycemia, and osteogenesis imperfecta is over 1/10,000 in China. All of these figures are beyond the cut-off of 1/10,000 according to the 2021 definition of rare diseases in China. As registration and investigation of rare diseases continues, the spectrum of rare diseases in some provinces is expanding. Diseases such as idiopathic pulmonary arterial hypertension, hepatolenticular degeneration, hemophilia, amyotrophic lateral sclerosis, idiopathic pulmonary fibrosis, and multiple sclerosis are relatively prevalent in some regions and cities of China. Registration efforts promote the correction of incidence/prevalence data, development of orphan drugs, coverage by medical insurance, and development of clinical and diagnostic pathways.

Current status and trend of clinical development of orphan drugs in China

BACKGROUND

Rare diseases have been increasingly recognized as unmet medical and health needs worldwide; a growing demand for the development of orphan drugs emerges subsequently. Therefore, it is of great interest for both the Chinese regulatory agency and pharmaceutical companies to keep tract on the clinical development of orphan drugs in China.

OBJECTIVE AND METHOD

This study aims to reveal the current situation and trend of the clinical development of orphan drugs in China, based on the data collected from the Chinese official platform, dating from January 1, 2013 to December 31, 2021.

RESULTS

A total of 331 clinical trials for orphan drugs were extracted from the platform, covering 31 rare diseases and 124 drugs. Increases were seen in the annual number of clinical trials and drugs being tested, with a sharp increase after 2018. About the disease types of the 331 trials, Parkinson disease (young-onset, early-onset) (86, 26%), hemophilia (70, 21%), homozygote hypercholesterolemia (60, 18%) were the most common. Furthermore, it was also observed that the largest number of clinical trial units for rare disease in east China (90, 41%) and the smallest number located in northwest China (18, 6%) and northeast China (18, 6%).

CONCLUSIONS

The growth trends illustrate the progress in clinical trial and drug development of rare diseases from 2013 to 2021. However, promoting orphan drugs development still is an important issue in China; at the same time, further efforts should be made for meet the unmet needs of disease types and balance the uneven distribution of medical resources for clinical trial on rare diseases.

Poor education and urgent information need for emergency physicians about rare diseases in China

BACKGROUND

Rare diseases are serious and chronic diseases that affect no more than 1 person in 2000 (in European Union criteria). Patients suffering from RDs may come to the emergency department for life-threatening symptoms, such as acute aortic dissection, intracranial haemorrhage, and severe respiratory distress. Diagnostic delay of rare disease patients is common and often caused by low rare disease awareness among physicians. The main aim of this study was to investigate Chinese emergency physicians' basic knowledge, information access and educational needs regarding rare diseases. An online questionnaire was completed by Chinese emergency physicians during January and March 2021.

METHODS AND RESULTS

A total of 539 emergency physicians, including 200 females and 339 males, responded to the questionnaire-based study. More than half of the respondents were from Tertiary A hospitals and had engaged in medical clinical work for more than 10 years. Only 4.27% of respondents correctly estimated the prevalence of rare diseases. A few respondents knew the exact number of RDs in the first official list of rare diseases in 2018. A total of 98.5% of respondents rated their knowledge about rare diseases as minimal or insufficient. Most emergency physicians preferred to obtain information through search engines instead of specialized websites on rare diseases. A lack of practice guidelines or consensus was considered the most important reason for the diagnostic delay of RD. Practice guidelines or consensus and professional websites on rare diseases are urgently needed for emergency physicians.

CONCLUSION

The investigation shows poor knowledge of rare diseases among emergency physicians. Practice guidelines and professional websites on rare diseases were the primary urgent needs for emergency physicians. Specialized RD courses should also be added to medical education.

Real-World Prescription Patterns For Patients With Young-Onset Parkinson’s Disease in China: A Trend Analysis From 2014 to 2019

Introduction Pharmacotherapy is one of the main treatments for patients with young-onset Parkinson’s disease (YOPD). Although numerous studies on the treatment of YOPD have been published, the real-world prescription patterns of these populations remain unclear in China.

Methods A national comprehensive evaluation was performed to reveal the pharmacological treatment patterns in Chinese patients with Parkinson’s disease from 1 January 2014 to 31 December 2019, with patients aged 21–50 years classified as having YOPD for the subgroup analysis. Information on patients and drugs was extracted to analyse the demographic characteristics, prescription patterns, and levodopa equivalent daily dose (LED) during disease progression.

Results A total of 1,134 patients with YOPD were included, and the majority were aged 41–50 years. Prescription of L-DOPA/benserazide and pramipexole accounted for more than 30 and 20%, respectively, in each year from 2014 to 2019. There was no difference in prescription patterns in terms of age, sex and geographical areas. Half of the patients with YOPD were on monotherapy, but the proportion decreased from 2016. Correspondingly, the proportion of patients receiving polytherapy increased, especially those who were prescribed more than two anti-Parkinson’s disease drugs. During the disease course, LED showed high variability, which increased over time.

Conclusion L-DOPA/benserazide and pramipexole were the most frequently prescribed anti-PD drugs for patients with YOPD in China. There was a slight trend in the transition from monotherapy to polytherapy. LED increased with disease duration. Thus, we provided an overview of the prescription patterns for patients with YOPD in China.

The global carrier frequency and genetic prevalence of Upshaw-Schulman syndrome

Background

Upshaw–Schulman syndrome (USS) is an autosomal recessive disease characterized by thrombotic microangiopathies caused by pathogenic variants in ADAMTS13. We aimed to (1) curate the ADAMTS13 gene pathogenic variant dataset and (2) estimate the carrier frequency and genetic prevalence of USS using Genome Aggregation Database (gnomAD) data.

Methods

Studies were comprehensively retrieved. All previously reported pathogenic ADAMTS13 variants were compiled and annotated with gnomAD allele frequencies. The pooled global and population-specific carrier frequencies and genetic prevalence of USS were calculated using the Hardy-Weinberg equation.

Results

We mined reported disease-causing variants that were present in the gnomAD v2.1.1, filtered by allele frequency. The pathogenicity of variants was classified according to the American College of Medical Genetics and Genomics criteria. The genetic prevalence and carrier frequency of USS were 0.43 per 1 million (95% CI: [0.36, 0.55]) and 1.31 per 1 thousand population, respectively. When the novel pathogenic/likely pathogenic variants were included, the genetic prevalence and carrier frequency were 1.1 per 1 million (95% CI: [0.89, 1.37]) and 2.1 per 1 thousand population, respectively.

Conclusions

The genetic prevalence and carrier frequency of USS were within the ranges of previous estimates.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12863-021-01010-0.

Innovation in Informatics to Improve Clinical Care and Drug Accessibility for Rare Diseases in China

Background: In China, there are severe unmet medical needs of people living with rare diseases. Relatedly, there is a dearth of data to inform rare diseases policy. This is historically partially due to the lack of informatics infrastructure, including standards and terminology, data sharing mechanisms and network; and concerns over patient privacy protection.

Objective: This study aims to introduce the progress of China's rare disease informatics platform and knowledgebase, and to discuss critical enablers of rare disease informatics innovation, including: data standardization; knowledgebase construction; national policy support; and multi-stakeholder participation.

Methods: A systemic national strategy, delivered through multi-stakeholder engagement, has been implemented to create and accelerate the informatics infrastructure to support rare diseases management. This includes a disease registry system, together with more than 80 hospitals, to perform comprehensive research information collection, including clinical, genomic and bio-sample data. And a case reporting system, with a network of 324 hospitals, covering all mainland Chinese provinces, to further support reporting of rare diseases data. International standards were incorporated, and privacy issues were addressed through HIPAA compliant rules.

Results: The National Rare Diseases Registry System of China (NRDRS) now covers 166 rare diseases and more than 63,000 registered patients. The National Rare Diseases Case Reporting System of China (NRDCRS) was primarily founded on the National Network of Rare Diseases (NNRD) of 324 hospitals and focused on real-time rare diseases case reporting; more than 400,000 cases have been reported. Based on the data available in the two systems, the National Center for Health Technology Assessment (HTA) of Orphan Medicinal Products (OMP) has been established and the expert consensus on HTA of OMP was produced. The largest knowledgebase for rare disease in Chinese has also been developed.

Conclusion: A national strategy and the coordinating mechanism is the key to success in the improvement of Chinese rare disease clinical care and drug accessibility. Application of innovative informatics solutions can help accelerate the process, improve quality and increase efficiency.

Economic burden and health related quality of life of ultra-rare Gaucher disease in China

Background

The diagnosis and health care of patients with rare diseases present a tremendous challenge worldwide. This study described the health care service utilization through participants’ perspective and estimated the cost of illness (COI), and patients with Gaucher disease (GD)’s/caregivers’ health-related quality of life in China.

Method

An online retrospective survey of patients with GD and their caregivers was conducted during May–June 2018. Socio-demographic, health service utilization, disease-related expenses, social support, sleep quality (Pittsburgh Sleep Quality Index [PSQI]), and the Short Form Health Survey (SF-36) were investigated. Using self-reported information, we estimated the annual COI, including direct healthcare, direct non-healthcare, and indirect costs.

Results

Forty patients and their 49 caregivers were surveyed. The patients’ onset age of GD was 9.3 ± 10.9; their disease course was 3.5 ± 3.1 years. 21 (42.9%) patients had ≥ 2 caregivers, but 35 (71.4%) caregivers reported have no experience as a caregiver. 79.6% caregivers have stopped working, and 87.8% changed weekly working schedule. Before final diagnosis, patients visited 3.9 ± 3.1 (max = 20) hospitals and took 1.2 ± 1.7 (max = 6.6) years for confirmed diagnosis. On average, 5.0 ± 9.6 misdiagnoses occurred, and the per-patient diagnoses cost was USD ($) 7576. After GD confirmation, 8 (16.3%) patients received no treatment, 40 (81.6%) received pharmacotherapy, 10 (20.4%) received surgery, 38 (77.6%) received outpatient service (8.8 ± 9.1 times/annually), and 37 (77.5%) received inpatient service (4.0 ± 3.5 times/annually). Annual per-patient COI was USD ($) 49,925 (95% confidence interval: 29,178, 70,672). Average direct healthcare cost was $41,816, including pharmaceutical ($29,908), inpatient ($7,451), and outpatient ($1,838). Productivity loss per-caregiver was $1,980, and their Zarit Burden Inventory score was moderate-severe (48.6 ± 19.6). Both patients/caregivers reported lower social support (32.4 ± 7.4, 34.9 ± 7.6), two times higher PSQI (7.9 ± 2.9, 8.7 ± 3.6), and half lower SF-36 (41.3 ± 18.6, 46.5 ± 19.3) than those reported for healthy Chinese individuals.

Conclusions

The high misdiagnosis rate, together with delayed diagnosis, substantial costs, and deteriorated health-related quality of life of GD patients as well as their heavy care burden, calls for extreme attention from policymakers in China. Further efforts of government and society are urgently demanded, including pharmaceutical reimbursement, screening newborns, developing precise diagnostic tools, and training doctors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13023-021-01963-6.

A questionnaire-based study to comprehensively assess the status quo of rare disease patients and care-givers in China

Background

There are over 16.8 million rare disease patients in China, representing a large community that should not be neglected. While the public lack the awareness of their existence and difficult status quo, for one reason that they exist as a rare and special group in our society, for another reason that all sectors of the community haven’t introduced and propagandized them suitably. However, as a special group with more difficulties in all aspects than normal healthy persons, they need enough care and love from us. To provide a basis for policy-makers to better understand the status quo of rare disease patients and care-givers in China and to devise some new policies to improve their quality of life, a comprehensive analysis of the status quo, unmet needs, difficulty caused by the rare disease is essential.

Methods

A questionnaire-based online study of patients and care-givers (usually family members) was performed. The questionnaire was composed of 116 questions, such as the diagnosis process, treatment access, financial burden, views on patients’ organizations, and a series of standardized tests to assess the quality of their life, including the SF-36, PHQ-9, PHQ-15, GAD-7, and PSQI. 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.

Findings

A total of 1959 patients and care-givers participated in the survey, representing 104 rare diseases, such as lysosomal storage diseases, hemophilia, and muscular dystrophy diseases. 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 were 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 demonstrated poor health status, depression, somatization, anxiety, and sleeping issues among both patients and care-givers (p < 0.05). Statistical analysis of the questionnaire also showed 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, providing sufficient and fair opportunities about education and employment, expanding the medical insurance coverage of treatments, and protecting rights in education and employment.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13023-021-01954-7.

Prevalence and healthcare utilization of rare neurological diseases in Hong Kong: 2014-2018

BACKGROUND

There has been increasing attention focused on the epidemiology of rare diseases (RDs) in recent years. Rare neurological diseases (RNDs) constitute a significant proportion of RDs; however, relevant research is still lacking.

METHODS

A list of ICD-10 codes corresponding to RNDs was compiled using adaptations from the Orphanet Classification of Rare Diseases, and classified into rare epilepsy, movement-related, neurocutaneous, neuroimmune, neurometabolic and neurodegenerative, neuromuscular and other RNDs. Using the Clinical Data Analysis and Reporting System, which holds public hospital healthcare records of Hong Kong anonymously, we calculated the prevalence and healthcare utilization of RND patients between 2014 and 2018. The list of RNDs was also used to review relevant pharmacological trials within the International Clinical Trials Registry Platform between 2009 and 2018.

RESULTS

The prevalence of RNDs in Hong Kong is 3.6 in 1,000 individuals. Patients with RNDs had frequent emergency department, outpatient and inpatient healthcare utilization. The average annual cost per patient is estimated at HKD 182,075 (€ 19,688). Different categories of RNDs showed different patterns of healthcare utilization. Moreover, there were only 677 RND-related pharmacological trials during the study period, and no trial was found for 78% of RNDs.

CONCLUSIONS

This is one of the first population studies on the prevalence and healthcare utilization patterns of RNDs, with comprehensive reviews of RND-related pharmacological research. It shows high healthcare utilization rates among patients with RNDs, as well as a wide research gap in many RNDs. We call for better attention and tailored healthcare for these patients.

The urgent need to empower rare disease organizations in China: an interview-based study

BACKGROUND

Each rare disease only affects a small number of population. However, a total of 7000 rare diseases may affect 10% of the population. Due to the severity and lack of rare disease awareness, rare disease represents a huge challenge for the healthcare system. In Western countries, patient organizations have been playing an integral role in raising awareness, advocating legislation, and supporting drug development. This study aims to assess the unmet needs of rare disease patient organizations in China, and identify their unmet needs, providing essential information for the government and legislators.

RESULTS

A total of 28 individuals representing 28 patient organizations in China were interviewed. Most organizations do not have official registration, employees, written standard operation protocol, or reliable financial resources. Misdiagnosis or delayed diagnosis is common, and treatment is often lacking. Due to the lack of financial resources, no organizations have been able to sponsor academic research, unlike their counterparts in Western countries. As to challenges, 71.4% of interviewees listed lack of rare disease awareness among the general public, while 67.9% selected lack of financial resources. Further, only 7.3% of these organizations received support from the government, and 28.6% received support from the general public. As to recommendations to the government, 82.1% of interviewees selected special insurance programs for rare diseases because rare diseases have been generally excluded from the national medical insurance programs. In addition, 78.6% of interviewees recommended to stimulate rare disease research, 75% recommended to import orphan drugs, and 71.4% recommended legislation of an orphan drug act, highlighting the urgent need of therapies.

CONCLUSIONS

Due to lack of support and rare disease awareness, patient organizations in China are still in the early phase. To empower these patient organizations, the interviewees' recommendations, including legislating orphan drug act and releasing official definition of rare diseases, should be considered by the government and legislators.

Analysis of clinical trials of new drugs in China as of 2019

The research and development (R&D) of new drugs indicates scientific progress and economic development. However, little is known regarding ongoing or recent clinical trials in China. We analyzed data from clinical trials published before December 31, 2019, and found that the annual registration numbers are increasing annually in the country. Based on clinical indications, most tested drugs target cancers, nervous system, infections, and the cardiovascular system. Furthermore, clinical trials are mostly concentrated in Beijing, Shanghai, and Jiangsu, and conducted by large pharmaceutical companies, with multiple trials for several generic drugs. Going forward, it will be necessary to promote R&D in China of clinically relevant innovative drugs, drug delivery systems, and novel traditional Chinese medicine (TCM) and biological products, as well as to have a balanced distribution of clinical trials to sustainably meet public health needs.

Determining the Topic Evolution and Sentiment Polarity for Albinism in a Chinese Online Health Community: Machine Learning and Social Network Analysis

BACKGROUND

There are more than 6000 rare diseases in existence today, with the number of patients with these conditions rapidly increasing. Most research to date has focused on the diagnosis, treatment, and development of orphan drugs, while few studies have examined the topics and emotions expressed by patients living with rare diseases on social media platforms, especially in online health communities (OHCs).

OBJECTIVE

This study aimed to determine the topic categorizations and sentiment polarity for albinism in a Chinese OHC, Baidu Tieba, using multiple methods. The OHC was deeply mined using topic mining, social network analysis, and sentiment polarity analysis. Through these methods, we determined the current situation of community construction, identifying the ongoing needs and problems experienced by people with albinism in their daily lives.

METHODS

We used the albinism community on the Baidu Tieba platform as the data source in this study. Term frequency-inverse document frequency, latent dirichlet allocation models, and naive Bayes were employed to mine the various topic categories. Social network analysis, which was completed using the Gephi tool, was employed to analyze the evolution of the albinism community. Sentiment polarity analysis was performed using a long short-term memory algorithm.

RESULTS

We identified 8 main topics discussed in the community: daily sharing, family, interpersonal communication, social life and security, medical care, occupation and education, beauty, and self-care. Among these topics, daily sharing represented the largest proportion of the discussions. From 2012 to 2019, the average degree and clustering coefficient of the albinism community continued to decline, while the network center transferred from core communities to core users. A total of 68.43% of the corpus was emotional, with 35.88% being positive and 32.55% negative. There were statistically significant differences in the distribution of sentiment polarity between topics (P<.001). Negative emotions were twice as high as positive emotions in the social life and security topic.

CONCLUSIONS

The study reveals insights into the emotions expressed by people with albinism in the Chinese OHC, Baidu Tieba, providing health care practitioners with greater appreciation of the current emotional support needed by patients and the patient experience. Current OHCs do not exert enough influence due to limited effective organization and development. Health care sectors should take greater advantage of OHCs to support vulnerable patients with rare diseases to meet their evidence-based needs.

Overview on social security system of rare diseases in China

China has initiated the special security project for rare diseases from the national strategic level since 2018. Chinese government has formulated China's First List of Rare Diseases (121 diseases included), established Expert Committee of Diagnosis, Treatment and Security of Rare Diseases and China Alliance of Rare Diseases. The government also encouraged all the provinces to include the security plan and strategies of rare diseases into key work and promoted the establishment of rare diseases clinical research center and the formulation of diagnosis and treatment guidelines. All these actions led to the further improvement of scientific research ability and diagnosis and treatment ability. In terms of the treatment drug of the 121 diseases in China's First List of Rare Diseases, 83 of them are on the market in China and 50 have been included in the national medical insurance accompanied with the tax reduction policy on rare diseases drug and several charity foundations and enterprise donation programs were developed so that drug availability and accessibility for patients are increased. However, there is no clear definition and corresponding coding of rare diseases; the economic burden of most rare diseases could not be calculated accurately because of the difficulty in diagnosis and misclassification. Regarding the service provision system, social security system of rare diseases in China needs further improvement because of the rather few kinds of rare diseases involved in the screening, low level of diagnostic ability, rather few rehabilitation programs and the lack of social caring and knowledge training. It is necessary for China to provide comprehensive and well-rounded health care and social caring for rare diseases patients. Since the formulation and implementation conditions of the policy are different among different regions, the pilot should be carried out first in regions with desired qualifications when China is formulating the rare diseases policy and then a mature national plan should be developed.