Evidence map›Paper›PMID 40788451›Full record

ArticleJournal of bioethical inquiry2026

Ethical Issues in Rural Health Research: A Scoping Review.

Vignesh Kumar, Nicole Martinez-Martin, Nate W Olson

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Journal of bioethical inquiry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Vignesh KumarCenter for Biomedical Ethics, Stanford University, Edwards Research Building, 300 Pasteur Drive, 2nd Floor, Room R2DCIR, Stanford, CA, 94305-5417, USA.
Nicole Martinez-MartinCenter for Biomedical Ethics, Stanford University, Edwards Research Building, 300 Pasteur Drive, 2nd Floor, Room R2DCIR, Stanford, CA, 94305-5417, USA.
Nate W OlsonKegley Institute of Ethics, California State University Bakersfield, 12AE, 9001 Stockdale Highway, Bakersfield, 93311, CA, USA. nolson@csub.edu.

Funding

NIMH NIH HHS K01 MH118375-01A1
6 · The paper itself

Abstract

Rural communities experience well-documented systemic disparities in health access and outcomes in comparison to urban populations. However, the ethical dimensions of these disparities have received only limited attention, and ethical issues related to rural health research have received even less. With the COVID-19 pandemic casting new light on these inequities, we conducted a scoping review to determine how much has been written on ethical issues in rural health research and which ethical issues are most prevalent. Four overarching ethical themes emerged through the search: resource inequity, underrepresentation, the benefits of community-based research, and challenges related to participant autonomy. Additionally, the search revealed a dearth of articles on ethical issues in rural health research, particularly in the United States. Thus, we propose four recommendations to revitalize and guide ethics discussions of research in rural communities, including growing the literature on ethical issues in rural U.S. communities, encouraging collaboration between rural health and bioethics researchers, improving recognition of rural heterogeneity, and addressing new issues in light of COVID-19. Acting on these recommendations would expand and support rural research efforts and ultimately help ameliorate rural-urban health inequities.

Indexed as

Ethics, ResearchRural HealthCOVID-19HumansPandemicsPersonal AutonomyRural PopulationSARS-CoV-2United StatesHealth disparitiesRural health equityRural health ethicsRural health research

Identifiers

PMID40788451

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.