Evidence map›Paper›PMID 41879103›Full record

ArticleHealth education & behavior : the official publication of the Society for Public Health Education2026

When Training Pipelines Break: What NIH F31 Terminations Mean for the Future of Public Health Research.

Jahn Jaramillo, Audrey Harkness

Abstract read
In one paragraph

Article in Health education & behavior : the official publication of the Society for Public Health Education, 2026. 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

2 authors.

Jahn JaramilloUniversity of Miami, Miami, FL, USA.ORCID 0000-0002-7395-6551
Audrey HarknessUniversity of Miami, Miami, FL, USA.ORCID 0000-0003-2290-9904

Funding

Culturally-focused HIV Advancements through the Next Generation for Equity (CHANGE) Training ProgramT32MH126772 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI DALE, SANNISHA K, FEASTER, DANIEL J · 2021 to 2025
$1.1M
Employment as prevention: Adapting a structural intervention to achieve HIV equity among immigrant Latino MSM.F31MH135828 · NIMH · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Jahn Jaramillo · 2023 to 2026
$98k
NIMH NIH HHS F31 MH135828NIMH NIH HHS T32 MH126772
6 · The paper itself

Abstract

National Institutes of Health (NIH) predoctoral fellowships, including the Ruth L. Kirschstein National Research Service Award (NRSA) Individual Predoctoral Fellowship (general F31 and F31-Diversity awards), have long served as mechanisms to support trainees, including those who are historically underrepresented in the biomedical and behavioral sciences. In 2025, many of these awards were unjustly terminated. Since then, the status of many grants has changed among a funding landscape of partial reinstatements and continued uncertainty. In this article, we summarize historical evidence of the impact of NIH-predoctoral fellowships and explore the implications of these terminations on trainee well-being and public health more broadly. One illustrative case example of a termination (and subsequent reinstatement) of a diversity-promoting F31 grant highlights the multifaceted costs of these disruptions amid ongoing political and policy shifts.

Indexed as

Fellowships and ScholarshipsNational Institutes of Health (U.S.)Public HealthAwards and PrizesHumansResearch Support as TopicUnited Statesgrant terminationhealth equitynational institutes of healthpredoctoral trainingresearch fundingresearch workforce diversity

Identifiers

PMID41879103
PMCPMC13546409

What OpenQuestion holds

Textmetadata
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.