Evidence map›Paper›PMID 32066463›Full record

ArticleHealth research policy and systems2020

Resource allocation for biomedical research: analysis of investments by major funders.

Ambinintsoa H Ralaidovy, Taghreed Adam, Philippe Boucher

Abstract read
In one paragraph

Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  15. Researcher Perceptions of Involving Consumers in Health Research in Australia: A Qualitative Study.International journal of environmental research and public health · 2023
    Article
  16. Article
  17. Article
  18. Characteristics of ophthalmic grants to low- and middle-income countries.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021
    Article
  19. Article
  20. Fake news and fake research: Why meta-research matters more than ever.Journal of paediatrics and child health · 2020
    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

3 authors.

Ambinintsoa H RalaidovyScience Division, World Health Organization, Avenue Appia 20, 1211, Geneva 27, Switzerland.
Taghreed AdamScience Division, World Health Organization, Avenue Appia 20, 1211, Geneva 27, Switzerland. adamt@who.int.ORCID http://orcid.org/0000-0002-2929-2209
Philippe BoucherData, Analytics and Delivery for Impact Division, World Health Organization, Geneva, Switzerland.

Funding

Government of France NoneGovernment of Switzerland NoneWorld Health Organization 001
6 · The paper itself

Abstract

backgroundData on grants for biomedical research by 10 major funders of health research were collected from the World RePORT platform to explore what is being funded, by whom and where. This analysis is part of the World Health Organization Global Observatory on Health Research and Development's work with the overall aim to enable evidence-informed deliberations and decisions on new investments in health research and development. The analysis expands on the interactive data visualisations of these data on the Observatory's website and describes the methods used to enable the categorisation of grants by health categories using automated data-mining techniques.

methodsGrants data were extracted from the World RePORT platform for 2016, the most recent year with data from all funders. A data-mining algorithm was developed in Java to categorise grants by health category. The analysis explored the distribution of grants by funder, recipient country and organisation, type of grant, health category, average grant duration, and the nature of collaborations between recipients of direct grants and the institutions they collaborated with.

resultsOut of a total of 69,420 grants in 2016, the United States of America's National Institutes of Health funded the greatest number of grants (52,928; 76%) and had the longest average grant duration (6 years and 10 months). Grants for research constituted 70.4% (48,879) of all types of grants, followed by grants for training (13,008; 18.7%) and meetings (2907; 4.2%). Of grant recipients by income group, low-income countries received only 0.2% (165) of all grants. Almost three-quarters of all grants were for non-communicable diseases (72%; 40,035), followed by communicable, maternal, perinatal and nutritional conditions (20%; 11,123), and injuries (6%; 3056). Only 1.1% of grants were for neglected tropical diseases and 0.4% for priority diseases on the WHO list of highly infectious (R&D blueprint) pathogens.

conclusionsThe findings highlight the importance of considering funding decisions by other actors in future health research and capacity-strengthening decisions. This will not only improve efficiency and equity in allocating scarce resources but will also allow informed investment decisions that aim to support research on public health needs and neglected areas.

Indexed as

Biomedical ResearchCooperative BehaviorHumansInvestmentsNational Institutes of Health (U.S.)Research Support as TopicResource AllocationTime FactorsUnited StatesWorld Health OrganizationFundingGlobalHealth research and developmentInvestments

Identifiers

PMID32066463
PMCPMC7027210

What OpenQuestion holds

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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.