ArticleHealth research policy and systems2020
Resource allocation for biomedical research: analysis of investments by major funders.
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.
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.
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.
Who cites it
21 citing papers in PubMed.
- Article
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- Global Trends and Evidence Gaps in Medical Errors Research: A Mixed-Methods Scientometrics Study.Journal of multidisciplinary healthcare · 2025Article
- Addressing Research Readiness Challenges in African Institutions: Development and Application of a Modular Assessment Tool.Gates open research · 2025Article
- Research priorities for the management of major trauma: an international priority setting partnership with the James Lind Alliance.BMJ open · 2024Article
- Funding of research & innovation in the field of medical technologies and biomedical engineering over the different European framework programmes.Biomedical engineering letters · 2024Article
- How to improve research capacity strengthening efforts: learning from the monitoring and evaluation of four research consortia in Africa.Health research policy and systems · 2023Article
- Tracking global resources and capacity for health research: time to reassess strategies and investment decisions.Health research policy and systems · 2023Article
- Research Practices and Needs Among Spine Surgeons Worldwide.Global spine journal · 2023Article
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- Researcher Perceptions of Involving Consumers in Health Research in Australia: A Qualitative Study.International journal of environmental research and public health · 2023Article
- Bibliometric analysis of authorship patterns in publications from a research group at the London School of Hygiene & Tropical Medicine, 2016-2020.BMJ global health · 2023Article
- Enabling research capacity strengthening within a consortium context: a qualitative study.BMJ global health · 2022Article
- 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 · 2021Article
- In Reply to the Letter to the Editor Regarding "The COVID-19 Pandemic and Global Neurosurgery: The Situation in Japan and the Philippines".World neurosurgery · 2021Article
- Fake news and fake research: Why meta-research matters more than ever.Journal of paediatrics and child health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
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.
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What OpenQuestion holds
Registered trials
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.