Evidence map›Paper›PMID 38770182›Full record

ArticleSSM. Qualitative research in health2022

"There's so much they don't cover:" Limitations of healthcare coverage for Indigenous women in a non-federally recognized tribe.

Jessica L Liddell, Jenn M Lilly

Abstract read
In one paragraph

Article in SSM. Qualitative research in health, 2022. 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
–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

4 citing papers in PubMed.

  1. Article
  2. The importance of community support for women in a Gulf Coast Indigenous tribe.International journal of human rights in healthcare · 2023
    Article
  3. Article
  4. "When you hear the noise, you know it's love": Family Support in American Indian Communities.American Indian and Alaska native mental health research (Online) · 2023
    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

2 authors.

Jessica L LiddellUniversity of Montana School of Social Work, Missoula, MT, USA.
Jenn M LillyFordham University Graduate School of Social Service, New York, NY, USA.

Funding

Wildfires and Cardiovascular Health: Evaluating Associations and Intervention StrategiesP20GM130418 · NIGMS · UNIVERSITY OF MONTANA · PI Curtis William Noonan · 2020 to 2026
$17.9M
NIGMS NIH HHS P20 GM130418
6 · The paper itself

Abstract

Access to healthcare is an essential component in addressing health disparities. However, the limitations of insurance coverage, and other barriers in paying for and accessing healthcare have seldom been researched for Indigenous peoples. In addition, state recognized tribes do not have access to the healthcare services provided by the Indian Health Service, and there is a need for research documenting their unique healthcare needs. Qualitative description was used to conduct 31 semi-structured interviews with women from an Indigenous tribe in the Gulf South to understand their experiences in paying for healthcare services. Participants described: (1) Discrimination Based on Perceived Ability to Pay for Healthcare; and (2) Limitations of Healthcare Coverage, with sub-themes (a) Difficulties Understanding Coverage Limitations; (b) Inadequate Coverage; and (c) Limited Choice of Providers. These findings indicate that state-recognized tribal members may need specialized insurance programs, and more comprehensive coverage of healthcare services and medications. Future actions should promote tribal sovereignty and increase access to healthcare resources for state-recognized tribes.

Indexed as

HealthcareHealth disparitiesHealth insuranceIndigenousWomen

Identifiers

PMID38770182
PMCPMC11104764

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.