Evidence map›Paper›PMID 31640704›Full record

ArticleOrphanet journal of rare diseases2019

Analysis of economic burden and its associated factors of twenty-three rare diseases in Shanghai.

Xiaoshu Cai, Hui Yang, Georgi Z Genchev, Hui Lu, Guangjun Yu

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

16 citing papers in PubMed.

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  5. Observational
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  14. Cost-of-illness studies in rare diseases: a scoping review.Orphanet journal of rare diseases · 2021
    Article
  15. Economic Burden of Epidermolysis Bullosa Disease in Iran.Medical journal of the Islamic Republic of Iran · 2021
    Article
  16. Economic Burden of Major Diseases in China in 2013.Frontiers in public health · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaoshu CaiCenter for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China.
Hui YangWalkiesoft Ltd, Shanghai, China.
Georgi Z GenchevCenter for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China.
Hui LuCenter for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China.
Guangjun YuCenter for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China. yuguangjun@shdc.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is estimated that at present there are over 10 million rare disease patients in China. Recently an increased focus from policy perspective has been placed on rare diseases management. Improved disease definitions and the releases of local and national rare disease lists are some of the steps taken already. Despite these developments, few Chinese rare disease-related epidemiology and economic studies exist, thus hindering assessment of the true burden of rare diseases. For a rare disease with an effective treatment, this is a particularly important aspect due to the often-high cost associated.

objectiveThe goal of this study is to address the data scarcity on the subject of rare diseases economic impact in China. We aim to address an existing knowledge gap and to provide a timely analysis of the economic burden of 23 rare diseases in Shanghai, China.

methodsWe utilized the data from the Health Information Exchange system of Shanghai and employed statistical modeling to analyze the economic burden of rare diseases with an effective treatment in Shanghai.

resultsFirst, we described the actual direct medical expenditure and analyzed its associated factors. Second, we found age, disease type, number of complications, and payment type were significantly associated with rare disease medical direct costs. Third, a generalized linear model was employed to estimate the annual direct cost. The mean direct medical cost was estimated as ¥9588 (US$1521) for inpatients and ¥1060 (US$168) for outpatients, and was over ¥15 million (~US$2.4 million) per year overall.

conclusionOur study is one of the first quantifying the economic burden of an extensive set of rare diseases in Shanghai and China. Our results can serve to inform healthcare-focused policy making, contribute to the increase of public awareness, and incentivize development of rare-disease strategies and treatments specific to the Chinese context.

Indexed as

Cost of IllnessHealth Care CostsHealth ExpendituresAdolescentAdultChinaCross-Sectional StudiesHealth PolicyHumansMiddle AgedRare DiseasesYoung AdultCost of illnessEconomic burdenRare diseaseShanghai

Identifiers

PMID31640704
PMCPMC6806581

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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.