Evidence map›Paper›PMID 40447839›Full record

ArticleDiscover mental health2025

An investigation into the prevalence and perceptions of mental health disorders in Appalachian West Virginia.

Tyann Dotson, Jerry Derringer, Lauren Hudson Rose, Nathan L Vanderford, Amanda Hinkle, Lindsay E Cormier

Abstract read
In one paragraph

Article in Discover mental health, 2025. 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

6 authors.

Tyann DotsonDepartment of Biological Sciences, Eastern Kentucky University, Richmond, KY, USA.
Jerry DerringerDepartment of Biological Sciences, Eastern Kentucky University, Richmond, KY, USA.
Lauren Hudson RoseCollege of Medicine, University of Kentucky, Lexington, KY, USA.
Nathan L VanderfordUniversity of Kentucky, Markey Cancer Center, Lexington, KY, USA.
Amanda HinkleCoalfield Health Center, Chapmanville, WV, USA.
Lindsay E CormierDepartment of Pharmacology and Nutritional Sciences, College of Medicine, University of Kentucky, William R. Willard Medical Education Building, MN 150, Lexington, KY, 40536-0298, USA. Lindsay.Cormier@uky.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAppalachian West Virginia's population is disproportionately afflicted by mental illness, with Logan County having the highest depression rates in the United States. To further understand the mental health situation in Appalachian West Virginia, this research study aims to evaluate the prevalence and perceptions of mental health disorders among patients of Coalfield Health Center.

methodsAn online survey was administered to patients at Coalfield Health Center containing 25 questions categorized into three parts: demographic, beliefs/perceptions about behavioral health, and behavioral healthcare access.

findingsThe data demonstrated that 37% of participants had received a mental illness diagnosis and 82% knew someone with a mental illness. Nearly 10% of participants denied having reliable transportation or health insurance coverage. Patients reported lacking mental health knowledge and a majority indicated a need for mental health education.

conclusionsThe data affirm a high prevalence of mental illness in Logan County, with barriers to care including a negative community perception, low socioeconomic status, lack of access to resources, and low health literacy.

Indexed as

Appalachian West VirginiaBarriers to careMental healthRural healthcare access

Identifiers

PMID40447839
PMCPMC12125426

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.