ArticleJournal of racial and ethnic health disparities2024
Patterns of Health Care Access and Use in an Urban American Indian and Alaska Native Population.
Article in Journal of racial and ethnic health disparities, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Systems, Social, and Individual Factors Influencing Glycemic Control Among American Indian/Alaska Native Adults with Type 2 Diabetes: A Systematic Review.Journal of racial and ethnic health disparities · 2026Pooled it
- Outcomes for American Indian and Alaska Native Populations With Cancer in Traditional Medicare.JAMA network open · 2026Observational
- Chronic Health Conditions and Uptake of COVID-19 Testing and Vaccination Among Native Americans in Oklahoma in the RADx-UP Consortium.Journal of racial and ethnic health disparities · 2026Article
- Review
- Global landscape of kidney health across Indigenous populations.Nature reviews. Nephrology · 2026Review
- Cultural Guideposts of Health: A crisis response evaluation framework for California's diverse Indigenous communities.Journal of public health research · 2026Article
- Gaps in Access to Health Services: A Barrier to Inclusive Development for Tribal Populations of Uttar Pradesh, India.Journal of racial and ethnic health disparities · 2025Article
- Factors Associated with Medication Adherence and Glycemic Control among American Indian/Alaska Native Adults with Type 2 Diabetes Within a Commercial Health Care System: A System-Wide Cross-Sectional Study.Journal of racial and ethnic health disparities · 2025Article
- Article
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Studies of health care access and use among historically resilient populations, while common, often field a limited sample size and rarely ask the groups most impacted by health inequities to weigh in. This is especially so for research and programs that focus on the American Indian and Alaska Native (AIAN) population. The present study addresses this gap by examining data from a cross-sectional survey of AIANs in Los Angeles County. To better interpret project findings and generate culturally relevant contexts, qualitative feedback was gathered at a community forum held in Spring 2018. Because recruitment of AIANs has historically been challenging, purposive sampling was employed to strategically identify a larger eligible pool. Among those who were eligible, 94% completed the survey (n = 496). AIANs who were enrolled in a tribe were 32% more likely to use the Indian Health Service (IHS), compared with those who were not enrolled (95% CI: 20.4%, 43.2%; p < .0001). In multivariable modeling, the strongest factors influencing IHS access and use were: tribal enrollment, preference for culturally-specific health care, proximity of the services to home or work, having Medicaid, and having less than a high school education. Feedback from the community forum indicated cost and trust (of a provider) were important considerations for most AIANs. Study findings reveal heterogeneous patterns of health care access and use in this population, suggesting a need to further improve the continuity, stability, and the image of AIANs' usual sources of care (e.g., IHS, community clinics).
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Registered trials
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.