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中国 33 种罕见病的健康和经济负担模式:全国范围的网络研究。

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

机构信息

Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, China (Hong Kong).

International Centre for Evidence in Disability, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.

出版信息

JMIR Public Health Surveill. 2024 Aug 27;10:e57353. doi: 10.2196/57353.

Abstract

BACKGROUND

Rare 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.

OBJECTIVE

This study aimed to examine the underlying patterns of the health and economic burden of 33 different RDs in China and identify the potential determinants.

METHODS

A 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.

RESULTS

The 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.

CONCLUSIONS

This 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.

摘要

背景

罕见病(RDs)在全球范围内影响着数以百万计的个体,给患者及其家庭带来了多方面的沉重负担。然而,对于不同 RD 负担的潜在模式,目前还缺乏证据,无法为有针对性的社会和卫生政策提供信息,以满足这一弱势群体的未满足需求。

目的

本研究旨在探讨中国 33 种不同 RD 的健康和经济负担的潜在模式,并确定潜在的决定因素。

方法

本研究于 2019 年至 2020 年期间在中国进行了一项全国性的互联网横断面调查。通过健康相关生活质量来衡量身体和精神健康负担。根据直接医疗、直接非医疗和间接费用相对于家庭收入的比例来评估经济负担。我们使用聚类分析来识别健康和经济负担的模式,并进行多变量逻辑回归来探讨聚类成员的潜在预测因素。

结果

该研究纳入了 8454 名成人和 8491 名儿童,他们患有 33 种 RD。确定了以下 3 个聚类:“极高负担”(代表成人和儿科患者中的 92/8454 和 19/8491,分别占 1.1%和 0.2%),“总体高负担”(5933/8454,70.2%和 4864/8491,分别占 57.3%)和“总体低负担”(2429/8454,28.7%和 3608/8491,分别占 42.5%)。Wilson 病、马凡综合征和朗格汉斯细胞组织细胞增生症比其他疾病更有可能导致“极高负担”。贫困与处于极高负担组显著相关。导致神经肌肉症状并需要长期治疗的疾病(如肌萎缩侧索硬化症、脊髓小脑共济失调和 Dravet 综合征)在“总体高负担”组中更为常见。该组的主要预测因素包括年龄较大、社会经济地位较低、诊断延迟和合并症。

结论

本研究为发展中国家(如中国)罕见病负担提供了新颖而有价值的证据。研究结果揭示了 RD 影响的显著差异,强调了有针对性的医疗干预和政策的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e0f/11387910/579e910718e5/publichealth_v10i1e57353_fig1.jpg

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