Evidence map›Paper›PMID 35769864›Full record

ArticleJournal of Appalachian health2020

Seeking Care at Free Episodic Health Care Clinics in Appalachia.

Malerie Lazar, Sandra Thomas, Lisa Davenport

Open access · greenAbstract read
In one paragraph

Article in Journal of Appalachian health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 14% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 at 1 institution in 1 country.

Malerie LazarUniversity of Tennessee, Knoxville.
Sandra ThomasUniversity of Tennessee, Knoxville.
Lisa DavenportUniversity of Tennessee, Knoxville.
University of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: People who live in rural Appalachia experience a wide variety of problems when seeking access to health care. Health care disparities continue to be one of the most complex and prevalent problems, and many barriers exist for impoverished men and women such as a lack of education, complications with health insurance, and personal distrust of healthcare providers. Purpose: A critical gap in the literature is the unheard voice of persons in rural underserved areas. The purpose of this study was to explore the perspectives of persons in rural Appalachia who seek healthcare services at free episodic health care clinics, a common alternative source of care. Methods: In Fall 2017, a qualitative approach was used to discover the perceptions of 12 men and women in rural Appalachia who were seeking medical care at a Remote Area Medical Clinic. A transdisciplinary research group provided insight and assistance with thematic analysis in Spring 2018-Spring 2019. Results: Five overall themes emerged capturing the essence of how rural Appalachians view the experience of seeking healthcare, which include difficulties with insurance/finances, inconsistency in care, isolation in rural areas, seeking solutions, and need to feel valued. Implications: A rich description of participant experiences portrays real-life complexities for Appalachian men and women who seek healthcare. Understanding the perceptions of persons who seek healthcare and the essence of their experiences is the first step in determining future sustainable solutions for social justice.

Indexed as

access to careAppalachiaepisodic clinicshealth caresocial justice

Identifiers

PMID35769864
PMCPMC9138721
OpenAlexW3016822300

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.