ArticleJAMA network open2024
Funding for Refugee Health Research From the National Institutes of Health Between 2000 and 2020.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Hypertension Disparities in Immigrant and Refugee Populations: Screening, Treatment Access, and Cultural Barriers.Current hypertension reports · 2026Review
- Knowledge, Attitudes, and Practices Toward Blood Pressure Control Among Refugees Resettled in the United States.Journal of epidemiology and global health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Importance: The US has historically resettled more refugees than any other country, with over 3.5 million refugees since 1980. The National Institutes of Health (NIH) is the largest public funder of biomedical research and development, but its role in mitigating many health disparities refugees experience through its funded research remains unknown. Objective: To examine the NIH's research funding patterns on refugee health research over the last 2 decades. Design, Setting, and Participants: Secondary analysis of NIH-funded grants between 2000 and 2020 using a cross-sectional study design. The NIH Research Portfolio Online Reporting Tools database was used to find relevant grants. Data were analyzed from November 2021 to September 2022. Main Outcomes and Measures: NIH grants awarded by year, state, grant type, research area, funding institute, grant duration, and amount funded. Results: Of 1.7 million NIH grants funded over the 20-year study period, only 78 addressed refugee health. Funded grants were mostly training grants (23 grants [29%]), followed by hypothesis-driven research (R01 grants; 22 grants [28%]), pilot or preliminary investigation proposals (13 grants [17%]), and other types of grants (20 grants [26%]). The most studied research domain was mental health (36 grants [46%]), followed by refugee family dynamics and women's and children's health (14 grants [18%]). A total of 26 grants (33%) were funded by the National Institute of Mental Health and 15 (19%) were funded by the National Institute of Child Health and Human Development. Most grants were US-based (60 grants [76%]) and the state of Massachusetts received the greatest amount of funding ($14 825 852 [18%]). In 2020, the NIH allocated about $2.3 million to refugee health research, or less than 0.01% of its $42 billion budget that year. The number of grants funded in each time period did not always reflect changes in the number of refugees resettled in the US over the years. Conclusions and Relevance: This cross-sectional study found that there remain significant gaps in the understanding of and interventions in the health research needs of refugees locally and along the migratory route. To close these gaps, the NIH should increase its investments in comprehensive studies assessing the physical, mental, and social well-being of this expanding population. This can be achieved by ensuring that all NIH institutes allocate budgets specifically for refugee health research and extend support for the training of refugee researchers.
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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.