Evidence map›Paper›PMID 39628624›Full record

ReviewIntractable & rare diseases research2024

Protecting the socioeconomic rights and interests of patients with rare diseases based on an innovative payment mechanism.

Amei He, Minxing Chen, Peipei Song, Qingyi Wu, Chunlin Jin, Jiangjiang He

Abstract readReview
In one paragraph

Review in Intractable & rare diseases research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Amei HeShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, China.
Minxing ChenShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, China.
Peipei SongNational Center for Global Health and Medicine, Tokyo, Japan.
Qingyi WuShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, China.
Chunlin JinShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, China.
Jiangjiang HeShanghai Health Development Research Center, Shanghai Medical Information Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenesis of diseases in the field of rare diseases is complex. Many rare diseases have yet to be conquered worldwide, and there are still no effective treatments for most rare diseases, resulting in limited accessibility to medications. Over the past few years, China has been committed to ensuring the availability of drugs for rare diseases, both at the national level and in all sectors of society. Through National Healthcare Insurance Negotiations (hereinafter referred to as "national negotiations"), the National Healthcare Security Administration has included several drugs for rare diseases in medical insurance coverage, addressing some of the issues with medications for rare diseases. National Negotiations have reduced the prices of drugs for rare diseases to a certain extent, but they remain expensive for many patients. By the end of 2023, out of the 165 drugs for rare diseases that had been launched, 53 were still not covered by medical insurance, leaving patients with a significant financial burden. Addressing payment issues remains a current challenge, and various regions in China are actively exploring innovative methods of paying for rare disease care to protect the socioeconomic rights and interests of patients with rare diseases.

Indexed as

national negotiationspayment methodsrare diseasesspecial funds

Identifiers

PMID39628624
PMCPMC11609042

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.