ArticleJournal of racial and ethnic health disparities2026
A Study of Multidisciplinary Perspectives on Lung Cancer Prevention Care for American Indian/Alaska Native People.
Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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Authors and funding
13 authors.
Funding
Abstract
backgroundLung cancer is the leading cause of cancer-related death among American Indian/Alaska Native (AI/AN) people. Lung cancer screening (LCS) remains underutilized among AI/AN people. Multi-disciplinary perspectives can help to inform lung cancer prevention care for this population.
methodsWe conducted a mixed-methods study with healthcare providers and researchers who intersect with AI/AN care. Participants completed an electronic questionnaire and qualitative interviews about their role(s), perceptions of commercial tobacco use and cessation services, and LCS in AI/AN communities. Survey data were analyzed descriptively. Interview transcripts were analyzed using applied thematic analysis, with final themes organized by Consolidated Framework for Implementation Research domains.
resultsMulti-disciplinary care providers (n = 21) reported significant gaps in awareness of and access to tobacco cessation and LCS in AI/AN communities. Key themes include tailoring lung health resources to AI/AN cultures and improving access to and awareness of LCS. Ideal programming centers culture and family and applies Indigenous methodologies to optimize resource development.
conclusionStudy findings support culturally tailored resources and barrier directed supports to enhance commercial tobacco cessation and LCS in marginalized communities. By working collaboratively within and across disciplines, healthcare systems, and Tribal communities, we can optimize care to promote lung cancer prevention in AI/AN communities.
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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.