Evidence map›Paper›PMID 35414039›Full record

ArticleOrphanet journal of rare diseases2022

The national economic burden of rare disease in the United States in 2019.

Grace Yang, Inna Cintina, Anne Pariser, Elisabeth Oehrlein, Jamie Sullivan, Annie Kennedy

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing 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

113 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

53 more citing papers are in PubMed but not listed here.

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.

Grace YangThe Lewin Group, 3160 Fairview Park Drive, Suite 600, Falls Church, VA, 22042, USA.
Inna CintinaThe Lewin Group, 3160 Fairview Park Drive, Suite 600, Falls Church, VA, 22042, USA.
Anne PariserNational Center for Advancing Translational Sciences, National Institutes of Health, DHHS, 6701 Democracy Boulevard, Suite 206, Bethesda, MD, 20892, USA.
Elisabeth OehrleinNational Health Council, 1730 M St NW, Suite 500, Washington, DC, 20036, USA.
Jamie SullivanEveryLife Foundation for Rare Diseases, 1012 14th NW, Suite 500, Washington, DC, 20005, USA.
Annie KennedyEveryLife Foundation for Rare Diseases, 1012 14th NW, Suite 500, Washington, DC, 20005, USA. akennedy@everylifefoundation.org.ORCID 0000-0002-0987-675X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo provide a comprehensive assessment of the total economic burden of rare diseases (RD) in the United States (U.S.) in 2019. We followed a prevalence-based approach that combined the prevalence of 379 RDs with the per-person direct medical and indirect costs, to derive the national economic burden by patient age and type of RD. To estimate the prevalence and the direct medical cost of RD, we used claims data from three sources: Medicare 5% Standard Analytical File, Transformed Medicaid Statistical Information System, and Optum claims data for the privately insured. To estimate indirect and non-medical cost components, we worked with the rare disease community to design and implement a primary survey.

resultsThere were an estimated 15.5 million U.S. children (N = 1,322,886) and adults (N = 14,222,299) with any of the 379 RDs in 2019 with a total economic burden of $997 billion, including a direct medical cost of $449 billion (45%), $437 billion (44%) in indirect costs, $73 billion in non-medical costs (7%), and $38 billion (4%) in healthcare costs not covered by insurance. The top drivers for excess medical costs associated with RD are hospital inpatient care and prescription medication; the top indirect cost categories are labor market productivity losses due to absenteeism, presenteeism, and early retirement.

conclusionsOur findings highlight the scale of the RD economic burden and call for immediate attention from the scientific communities, policy leaders, and other key stakeholders such as health care providers and employers, to think innovatively and collectively, to identify new ways to help improve the care, management, and treatment of these often-devastating diseases.

Indexed as

Financial StressRare DiseasesAdultAgedChildCost of IllnessHealth Care CostsHumansMedicarePrevalenceUnited StatesDirect costEconomic burdenIndirect costRare disease

Identifiers

PMID35414039
PMCPMC9004040

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.