Evidence map›Paper›PMID 34855535›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Return of Benefit to Society of Publicly Funded Innovations to Combat COVID-19.

Helen Yu

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Helen YuCentre for Advanced Studies in Biomedical Innovation Law, Faculty of Law, 4321University of Copenhagen, Kobenhavn, Denmark.ORCID 0000-0003-1445-7602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to the COVID-19 pandemic, significant public funds have been invested worldwide into the research, development, and manufacturing of pharmaceutical products to combat the novel coronavirus. Traditionally, intellectual property (IP) rights have been justified in the pharmaceutical sector because of the time and cost associated with drug discovery and development. However, if (a) the cost of research for COVID-19 related innovations have largely been subsidized by the public through public research grants; (b) the time for development has been significantly reduced through publicly funded initiatives; and (c) manufacturing has been de-risked through taxpayer funded advance purchase agreements, should IP rights be asserted on innovations that have largely already been paid for by the public?. There needs to be clear legal and regulatory frameworks, informed by policy objectives such as principles of "responsible research and innovation" and "global public good," to ensure that outcomes of publicly funded efforts can ultimately reach the intended public. Without any access and production conditions associated with the use of public efforts, worldwide supplies to medical solutions that benefited from these public initiatives can be frustrated. This article proposes a legal framework to address future access and availability problems to medical innovations that benefit from publicly funded initiatives.

Indexed as

COVID-19Financial ManagementCommerceHumansPandemicsSARS-CoV-2conditional access to publicly funded initiativeshealth policy and pandemic preparednesslegally supported framework for access and availability to healthcareresponsible research and sustainable innovationreturn of benefit to society

Identifiers

PMID34855535
PMCPMC8649745

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.