Evidence map›Paper›PMID 39560306›Full record

ReviewJournal of comparative effectiveness research2024

Improving access to gene therapies: a holistic view of current challenges and future policy solutions in the United States.

Tyler D Wagner, Lisabeth Buelt, Kimberly Westrich, Jonathan D Campbell

Abstract readReview
In one paragraph

Review in Journal of comparative effectiveness research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

4 authors.

Tyler D WagnerNational Pharmaceutical Council, Washington DC 20006, USA.ORCID 0000-0001-7248-4890
Lisabeth BueltNational Pharmaceutical Council, Washington DC 20006, USA.
Kimberly WestrichNational Pharmaceutical Council, Washington DC 20006, USA.ORCID 0000-0001-9392-7670
Jonathan D CampbellNational Pharmaceutical Council, Washington DC 20006, USA.ORCID 0000-0001-6539-1258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene therapies hold the promise of delivering groundbreaking improvements in health outcomes for previously intractable diseases. These therapies possess unique characteristics that differ from traditional small molecule or biologic treatments, posing new challenges for healthcare stakeholders. While previous analyses have predominantly focused on the payment challenges associated with emerging gene therapies, a more holistic examination reveals numerous obstacles that currently hinder optimal patient access. In the United States (US), these include production and distribution issues, logistical and treatment administration challenges and coverage and reimbursement limitations imposed by US healthcare payers. Several opportunities exist to address these challenges and improve patient access, including the use of appropriate value assessment methods, the development of innovative payment solutions, the removal of inappropriate access barriers imposed by payers and improving education and awareness regarding treatment availability, benefits and risks. Moving forward, we must collectively strive for comprehensive policy and market solutions that are sensitive to the uniqueness of gene therapies to ensure their full potential is realized and these treatments are made available to those in need.

Indexed as

Genetic TherapyHealth PolicyHealth Services AccessibilityHumansUnited Statesaccesseducationgene therapypatientspaymentvalue

Identifiers

PMID39560306
PMCPMC11610046

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.