Evidence map›Paper›PMID 42534371›Full record

ArticleHealth affairs scholar2026

Healthcare access, utilization, and care experiences for American Indian and Alaska Native populations.

Jessica N Monnet, Asako S Moriya, Patricia S Keenan

Abstract read
In one paragraph

Article in Health affairs scholar, 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

3 authors.

Jessica N MonnetThe University of New Mexico, School of Public Administration, Albuquerque, NM 87131, United States.ORCID https://orcid.org/0000-0003-3968-2064
Asako S MoriyaDepartment of Health and Human Services, Agency for Healthcare Research and Quality, Rockville, MD 20857, United States.ORCID https://orcid.org/0000-0003-2861-8526
Patricia S KeenanDepartment of Health and Human Services, Agency for Healthcare Research and Quality, Rockville, MD 20857, United States.ORCID https://orcid.org/0009-0001-6786-4861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite targeted health reforms, differences in healthcare access, utilization, and mortality have persisted between American Indian and Alaska Native (AI/AN) and non-AI/AN people and within the AI/AN population. Methods: Using the 2015-2019 Medical Expenditure Panel Survey Household Component (MEPS-HC), we examined healthcare access, utilization, and care experiences for AI/AN people relative to non-AI/AN people and disaggregate the AI/AN population by race (ie, single race and one or more races) and ethnicity (ie, Hispanic and non-Hispanic). Results: We found that AI/AN people had a lower probability of at least one dental and ambulatory visit annually than non-Hispanic White people. Conversely, non-Hispanic AI/AN people were more likely than non-Hispanic White people to have at least one emergency-department (ED) visit. Non-Hispanic AI/AN people who reported multiple races had higher rates of delayed or unmet needs due to cost than non-Hispanic White people. People solely identifying as AI/AN reported worse care experiences, and non-Hispanic AI/AN people rated their healthcare lower than non-Hispanic White people. Conclusion: Our findings highlight the importance of efforts to improve healthcare access and care experiences of AI/AN people and shed light on how decisions about disaggregating race and ethnicity may affect study results.

Indexed as

American Indian and Alaska Nativehealthcare accesshealthcare utilizationpatient care experiences

Identifiers

PMID42534371
PMCPMC13420524

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.