Centering Data Sovereignty, Tribal Values, and Practices for Equity in American Indian and Alaska Native Public Health Systems

Rhodes, Kristine L.; Echo-Hawk, Abigail; Lewis, Jordan P.; L. Cresci, Vanesscia; E. Satter, Delight; A. Dillard, Denise

doi:10.1177/00333549231199477

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…Rhodes et al 18 attend to the salience of how tribal data are collected, accessed, shared, and used by American Indian and Alaska Native populations. Spurred by the COVID-19 pandemic, STLT, and CDC’s declaration of racism as a public health issue, as well as the Robert Wood Johnson Foundation’s Commission to Transform Public Health Data Systems to improve health equity data, a panel of tribal representatives, academicians, public health practitioners, and federal employees convened to inform the Commission’s recommendations.…”

Section: Research Addressing Questions Problems and Uncertainties Ide...mentioning

confidence: 99%

Practice-Based Research From the Frontlines: Selected Strategies for Reducing Health Disparities and Accelerating Progress Toward Health Equity in the United States

Hall,

Shah,

Bowie

2024

Public Health Rep

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Section: Research Addressing Questions Problems and Uncertainties Ide...mentioning

confidence: 99%

Practice-Based Research From the Frontlines: Selected Strategies for Reducing Health Disparities and Accelerating Progress Toward Health Equity in the United States

Hall,

Shah,

Bowie

2024

Public Health Rep

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Large language models and synthetic health data: progress and prospects

Smolyak,

Bjarnadóttir,

Crowley

et al. 2024

JAMIA Open

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Objectives Given substantial obstacles surrounding health data acquisition, high-quality synthetic health data are needed to meet a growing demand for the application of advanced analytics for clinical discovery, prediction, and operational excellence. We highlight how recent advances in large language models (LLMs) present new opportunities for progress, as well as new risks, in synthetic health data generation (SHDG). Materials and Methods We synthesized systematic scoping reviews in the SHDG domain, recent LLM methods for SHDG, and papers investigating the capabilities and limits of LLMs. Results We summarize the current landscape of generative machine learning models (eg, Generative Adversarial Networks) for SHDG, describe remaining challenges and limitations, and identify how recent LLM approaches can potentially help mitigate them. Discussion Six research directions are outlined for further investigation of LLMs for SHDG: evaluation metrics, LLM adoption, data efficiency, generalization, health equity, and regulatory challenges. Conclusion LLMs have already demonstrated both high potential and risks in the health domain, and it is important to study their advantages and disadvantages for SHDG.

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Adult Caretaker Engagement and School Connectedness and Association with Substance Use, Indicators of Emotional Well-Being and Suicide Risk, and Experiences with Violence Among American Indian or Alaska Native High School Students — Youth Risk Behavior Survey, United States, 2023

Everett Jones,

Satter,

Reece

et al. 2024

MMWR Suppl.

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The strength of American Indian and Alaska Native (AI/AN) communities comes from generations of Indigenous traditions, language, culture, and knowledge. These strengths have been challenged by a complex set of systemic, structural, and social factors related to historical and intergenerational trauma that affects the health of AI/AN communities. Furthermore, AI/AN population health data often are inaccurate because of analytic coding practices that do not account for multiracial and ethnic AI/AN identification and inadequate because of statistical suppression. The 2023 national Youth Risk Behavior Survey included a supplemental sample of AI/AN high school students. Coding of race and ethnicity was inclusive of all AI/AN students, even if they also identified as another race or as Hispanic or Latino, providing comprehensive data on health behaviors and experiences among AI/AN high school students nationwide. Adult caretaker engagement and school connectedness and their association with 13 health behaviors and experiences were examined, including five types of current substance use, four indicators of emotional well-being and suicide risk, and four types of violence. Pairwise t -tests and adjusted prevalence ratios from logistic regression models identified significant associations between exposure and outcome variables. Among AI/AN students, having an adult who always tried to meet their basic needs, high parental monitoring, and high school connectedness were associated with lower prevalence of certain measures of substance use, poor emotional well-being and suicide risk, and violence. Compared with non-AI/AN students, the prevalence of current electronic vapor product use, current marijuana use, attempted suicide, and experience of sexual violence was higher among AI/AN students. This report presents the most comprehensive, up-to-date data on substance use, indicators of emotional well-being and suicide risk, and experiences with violence among AI/AN high school students nationwide. The findings suggest the importance of engaged household adults and school connectedness in promoting emotional well-being and preventing substance use, suicide-related behavior, and experiences of violence among AI/AN students. Understanding the historical context and incorporating Indigenous knowledge when developing interventions focused on AI/AN youths are critical to ensure such interventions are successful in improving AI/AN health and well-being.

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Centering Data Sovereignty, Tribal Values, and Practices for Equity in American Indian and Alaska Native Public Health Systems

Cited by 4 publications

References 24 publications

Practice-Based Research From the Frontlines: Selected Strategies for Reducing Health Disparities and Accelerating Progress Toward Health Equity in the United States

Practice-Based Research From the Frontlines: Selected Strategies for Reducing Health Disparities and Accelerating Progress Toward Health Equity in the United States

Large language models and synthetic health data: progress and prospects

Adult Caretaker Engagement and School Connectedness and Association with Substance Use, Indicators of Emotional Well-Being and Suicide Risk, and Experiences with Violence Among American Indian or Alaska Native High School Students — Youth Risk Behavior Survey, United States, 2023

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