American Indian/Alaska Native uninsurance disparities: a comparison of 3 surveys

Tribal Perspectives on Hypertension: Results From the Center for Native American Health Native-CHART Needs Assessment

PURPOSE AND OBJECTIVES

American Indian/Alaska Native (AI/AN) hypertension contributes to cardiovascular disease, the leading cause of premature death in this population. The purpose of this article is to document strategies, concerns, and barriers related to hypertension and cardiovascular disease from Native-Controlling Hypertension and Risks through Technology (Native-CHART) symposiums facilitated by the Center for Native American Health (CNAH). The objectives of this evaluation were to combine Health Needs Assessment (HNA) data and explore barriers and strategies related to hypertension while assessing changes in participants' perspectives over time (2017-2021).

APPROACH

CNAH followed an iterative process each year for planning the HNA, facilitating the HNA, and refining and reflecting on HNA findings over time. This involved 3 interconnected steps: (1) developing a shared understanding for the HNA, "Why are we here?," (2) facilitating the HNA during annual symposiums "What do we do?," and (3) reflecting on "What did we learn?".

EVALUATION METHODS

Data were collected using a culturally centered HNA co-created by the CNAH team and tribal partners. Qualitative data analysis utilized a culturally centered thematic approach and NVivo software version 12.0. Quantitative data analysis included summarizing frequency counts and descriptive statistics using Microsoft Excel.

RESULTS

Over the 5-year period, 212 Native-CHART symposium participants completed HNAs. Data collected from HNAs show persistent barriers and concerns and illuminate potential strategies to address AI/AN hypertension. Future efforts must explore effective strategies that build on community strengths, culture and traditions, and existing resources. This is the path forward.

IMPLICATIONS FOR PUBLIC HEALTH

CNAH's culturally centered and unique HNA approach helped assess participant perspectives over time. CNAH facilitated symposiums over multiple years, even amid a global pandemic. This demonstrates resilience and continuity of community outreach when it is needed the most. Other universities and tribal partners could benefit from this iterative approach as they work to design HNAs with tribal populations.

Regional Differences In Coverage Among American Indians And Alaska Natives Before And After The ACA

Understanding regional variation in the effect of the Affordable Care Act (ACA) on health insurance coverage among vulnerable populations such as American Indian and Alaska Native adults has important policy implications. We used American Community Survey data for the period 2010-17 to examine unadjusted trends in health insurance coverage among American Indians and Alaska Natives across ten US regions. In each region we also used multivariate regression to evaluate the effects of the ACA on insurance coverage among American Indians and Alaska Natives and differences in effects between that group and non-Hispanic whites. In the West we observed significant improvements in public insurance among American Indians and Alaska Natives, and disparities compared to non-Hispanic whites were reduced following the ACA. Although there were unadjusted increases in insurance coverage across most regions, regression analyses suggested that there were no significant post-ACA changes in public or private health insurance coverage among American Indians and Alaska Natives in the Oklahoma, Bemidji, or Alaska regions. In sum, health insurance among American Indians and Alaska Natives increased after the ACA, but improvements were not consistent across regions. More attention is needed to improve insurance coverage among American Indians and Alaska Natives in midwestern regions.

Differences in diabetes self-care activities by race/ethnicity and insulin use

PURPOSE

The purpose of this study is to examine differences in diabetes self-care activities by race/ethnicity and insulin use.

METHODS

Data were from the 2011 Behavioral Risk Factor Surveillance System for adults with diabetes. Outcomes included 5 diabetes self-care activities (blood glucose monitoring, foot checks, nonsmoking, physical activity, healthy eating) and 3 levels of diabetes self-care (high, moderate, low). Logistic regression models stratified by insulin use were used to estimate the odds of each self-care activity by race/ethnicity.

RESULTS

Only 20% of adults had high levels of diabetes self-care, while 64% had moderate and 16% had low self-care. Racial/ethnic differences were apparent for every self-care activity among non-insulin users but only for glucose monitoring and foot checks among insulin users. Overall, American Indian / Alaska Natives had higher odds of glucose monitoring; blacks had higher odds of foot checks; and Hispanics had higher odds of not smoking compared with non-Hispanic Whites. Non-insulin-using American Indian / Alaska Natives had higher odds of foot checks, and non-insulin-using Hispanics had higher odds of fruit/vegetable consumption.

CONCLUSIONS

Participation in specific diabetes self-care behaviors differs by race/ethnicity and by insulin use. Yet, few adults with diabetes of any race/ethnicity engage in high levels of self-care. Findings suggest that culturally tailored messages about diabetes self-care may be needed, in addition to more effective population promotion of healthy lifestyles and risk reduction behaviors to improve diabetes control and overall health. Diabetes educators can be a catalyst for adopting a population approach to diabetes management, which requires addressing both prevention and management of diabetes for all patients.

Healthcare disparities for American Indian veterans in the United States: a population-based study

OBJECTIVE

To examine healthcare coverage and access disparities for American Indian/Alaska Native (AIAN) veterans compared with non-Hispanic white veterans.

METHODS

We examined national survey data for honorably discharged veterans in the United States using National Health Interview Survey (NHIS) data between 1997 and 2006. NHIS data were obtained from the Integrated Health Interview Series, a web-based data resource containing harmonized NHIS data from 1969 to the present. Our sample included AIAN and white veterans aged 18 to 64 years (n = 34,504). We used multivariate logistic regression models to estimate the odds of being uninsured, reasons for delayed care, and types of foregone care.

RESULTS

In multivariate analysis, AIAN veterans have 1.9 times higher odds of being uninsured compared with non-Hispanic white veterans (95% CI: 1.6-2.7). Compared with white veterans, AIAN veterans are significantly more likely to delay care due to not getting timely appointments (OR = 2.0, 95% CI: 1.1-2.6), not getting through on the phone (OR = 3.0, 95% CI: 1.6-5.8), and transportation problems (OR = 2.9, 95% CI: 1.1-7.3). In unadjusted models, AIAN veterans have significantly higher odds of having foregone 4 of 5 types of care compared with non-Hispanic white veterans. Adjusting for sociodemographic characteristics and insurance eliminated all significant relations.

CONCLUSIONS

AIAN veterans have considerable disparities in healthcare coverage and access compared with non-Hispanic whites. Although barriers to care due to cost are nominal for AIAN veterans, barriers to care due to navigating the healthcare system and due to lack of transportation remain substantial.