Evidence map›Paper›PMID 40247032›Full record

ArticleScientific reports2025

A retrospective study of insurance coverage status and economic cost of rare diseases in Hainan Province.

John Sieh Dumbuya, Xiuling Chen, Lin Deng, Bashir Ahmad, Jun Lu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

John Sieh Dumbuya1Department of Paediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524002, China.
Xiuling ChenDepartment of Paediatrics, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Central South University, Haikou, 570208, China. chenxiuling1916@163.com.
Lin DengDepartment of Paediatrics, The 958 Hospital of the People's Liberation Army, Chongqing, 400020, China.
Bashir Ahmad1Department of Paediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524002, China.
Jun Lu1Department of Paediatrics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524002, China. lu139762@163.com.

Funding

National Natural Science Foundation of China 82260665
6 · The paper itself

Abstract

Rare diseases present a significant economic burden on patients, families, and healthcare systems worldwide. As the prevalence of these diseases rises in China, data regarding their impact, specifically in Hainan Province, is scarce. Thus, this study aims to evaluate insurance coverage, economic costs, and the factors contributing to the burden of rare diseases in Hainan. We employed a bottom-up approach to analyse the prevalence and economic burden from 2019 to 2023, utilising data from the Hainan Provincial Health Commission Databases. We assessed insurance coverage as well as expenditures related to hospitalisation, diagnostics, medications, surgery, and out-of-pocket costs. Of 4,975 patients diagnosed with 99 distinct rare diseases, 83.01% were insured. From 2019 to 2023, the number of patients increased from 760 to 1,328, while economic costs surged from 34.26 million CNY (US$ 4.89 million) to 64.74 million CNY (US$ 8.86 million). Thalassemia major, one of the most prevalent conditions, generated the highest costs. Hospitalisation expenses accounted for 49.16% of the total costs, with out-of-pocket expenses averaging 17.52%. The findings reveal a significant economic burden associated with rare diseases in Hainan, highlighting the necessity for targeted policy interventions. Furthermore, additional research is needed to refine estimates of this economic burden.

Indexed as

Cost of IllnessHealth Care CostsInsurance CoverageInsurance, HealthRare DiseasesAdolescentAdultAgedChildChild, PreschoolChinaFemaleHealth ExpendituresHospitalizationHumansInfantDisease burdenEconomic costMedical insurancePrevalenceRare diseases

Identifiers

PMID40247032
PMCPMC12006289

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.