Health disparities in American Indians/Alaska Natives: Implications for nurse practitioners

Regional Differences in American Indian/Alaska Native Chronic Respiratory Disease Disparity: Evidence from National Survey Results

American Indian/Alaska Native (AI/AN) persons in the US experience a disparity in chronic respiratory diseases compared to white persons. Using Behavioral Risk Factor Surveillance System (BRFSS) data, we previously showed that the AI/AN race/ethnicity variable was not associated with asthma and/or chronic obstructive pulmonary disease (COPD) in a BRFSS-defined subset of 11 states historically recognized as having a relatively high proportion of AI/AN residents. Here, we investigate the contributions of the AI/AN variable and other sociodemographic determinants to disease disparity in the remaining 39 US states and territories. Using BRFSS surveys from 2011 to 2019, we demonstrate that irrespective of race, the yearly adjusted prevalence for asthma and/or COPD was higher in the 39-state region than in the 11-state region. Logistic regression analysis revealed that the AI/AN race/ethnicity variable was positively associated with disease in the 39-state region after adjusting for sociodemographic covariates, unlike in the 11-state region. This shows that the distribution of disease prevalence and disparity for asthma and/or COPD is non-uniform in the US. Although AI/AN populations experience this disease disparity throughout the US, the AI/AN variable was only observed to contribute to this disparity in the 39-state region. It may be important to consider the geographical distribution of respiratory health determinants and factors uniquely impactful for AI/AN disease disparity when formulating disparity elimination policies.

A Review of the Prevalence of Ophthalmologic Diseases in Native American Populations

PURPOSE

Compared with the general population in North America, Native American/American Indian and Alaska Native (AI/AN) populations experience a disparate prevalence of eye diseases. Visual impairment is a barrier to communication, interferes with academic and social success, and decreases overall quality of life. The prevalence of ocular pathology could serve as an indicator of health and social disparities. Therefore, the objective of this research was to perform a thorough review comparing the prevalence of common ophthalmological pathologies between AI/AN and non-AI/AN individuals in North America.

DESIGN

Retrospective, cross-sectional study.

METHODS

A total of 57 articles were retrieved and reviewed, and 14 met the criteria outlined for inclusion. These articles were retrieved from PubMed, MEDLINE, and ISI Web of Knowledge. Only studies that were peer reviewed in the last 25 years and reported on the prevalence of eye diseases in AI/AN compared with a non-AI/AN population met criteria.

RESULTS

Rates of retinopathy, cataracts, visual impairment, and blindness were clearly higher for AI/AN compared with non-AI/AN counterparts. Although rates of macular degeneration and glaucoma were similar between AI/AN and non-AI/AN populations, the treatment rates were lower and associated with poorer outcomes in AI/AN individuals.

CONCLUSIONS

There are considerable inequities in the prevalence and treatment rates of ophthalmologic conditions in AI/AN individuals. A likely explanation is the barrier of lack of access to adequate health and eye care. Because of substantial underinsurance and geographic variability, attention needs to be brought to expanding eye care access to AI/AN communities. The results are subject to the availability of appropriate technology, health literacy, and language.

Predictors of STD Screening From the Indigenist Stress-Coping Model Among Native Adults With Binge Substance Use

Objective

The American Indian/Alaska Native (AI/AN) population in the U.S. is thriving in spite of settler colonialist efforts of erasure. AI/AN people, however, continue to experience persistent health disparities including a disproportionate burden of substance use and sexually transmitted diseases/infections (STDs/STIs), as well as a disproportionate lack of public health STD screening services and STD prevention interventions grounded in AI/AN social contexts, experiences, and epistemologies. The present study explored how stressors and protective factors based on the Indigenist Stress Coping framework predict STD screening outcomes among Native adults.

Methods

We analyzed baseline self-report data from 254 Native adults ages 18-55 years with recent binge substance use who were enrolled in an evaluation of "EMPWR," a two-session STD risk reduction program in a rural, reservation-based community in the U.S. Southwest. Logistic regression models with robust variance were used to estimate odds ratios of lifetime STD testing for the theoretical stressors and cultural buffers.

Results

A little over half the sample were males (52.5%, n = 136), with a mean age of 33.6 years (SD = 8.8). The majority (76.7%, n = 195) reported having ever been screened for STD in their life. Discrimination score were significantly associated with lifetime STD testing: The higher discrimination was associated with lower odds of STD testing in the fully adjusted model (aOR = 0.40, 95%CI: 0.18, 0.92). The effects of AI/AN-specific cultural buffer such as participation in traditional practices on STD testing outcomes was in the expected positive direction, even though the association was not statistically significant. Household size was significantly associated with STD screening: The higher the number of people lived together in the house, the higher the odds of STD testing in the fully adjusted model (aOR = 1.19, 95%CI: 1.04, 1.38).

Conclusion

Our findings suggest that STD prevention programs should take into consideration AI/AN-specific historical traumatic stressors such as lifetime discrimination encounters and how these interact to drive or discourage sexual health services at local clinics. In addition, larger household size may be a protective factor functioning as a form of social support, and the extended family's role should be taken into consideration. Future research should consider improvement in measurements of AI/AN enculturation constructs.

Disparities In The Quality Of Clinical Care Delivered To American Indian/Alaska Native Medicare Advantage Enrollees

This study used data from the 2019 Healthcare Effectiveness Data and Information Set (HEDIS) to examine differences in the quality of care received by American Indian/Alaska Native beneficiaries versus care received by non-Hispanic White beneficiaries enrolled in Medicare Advantage (managed care) plans. American Indian/Alaska Native beneficiaries were more likely than White beneficiaries to receive care that meets clinical standards for eight of twenty-six HEDIS measures and were less likely than White beneficiaries to receive care that meets clinical standards for five of twenty-six measures. Measures for which American Indian/Alaska Native beneficiaries were less likely to receive care meeting clinical standards were mainly ones pertaining to appropriate treatment of diagnosed conditions. In all cases, differences in care for American Indian/Alaska Native and White beneficiaries were largely within-plan differences. These findings indicate the need for improved clinical care for all beneficiaries. For American Indian/Alaska Native beneficiaries, there is a particular need for improvement in the treatment of diagnosed conditions, including diabetes, chronic obstructive pulmonary disease, and alcohol and other forms of substance abuse.

Building connection and improving health for Indigenous elders: Findings from the Title VI evaluation

BACKGROUND

As the older Indigenous population in the United States expands, there is a growing demand for programs to address age-related needs. Although Title VI of the OAA provides culturally responsive strategies to support elders through home- and community-based nutrition services, these programs have not been the subject of a national evaluation; our study is the first.

METHODS

We conducted a mixed-methods study to assess the impact of the Title VI programs on elders. We used quantitative data from a national survey of Indigenous elders (n = 1175) and qualitative data collected through interviews (n = 36) and focus groups (18, n = 161) with a subgroup of elders receiving services. We compared outcomes for social and cultural connectedness and physical and mental well-being for different subgroups within our sample of elders based on elders' use of Title VI services and the level of services provided to these elders. Results were adjusted for community characteristics.

RESULTS

Elders receiving Title VI services had significantly fewer hospitalizations and falls per year (hospitalizations: 0.9 vs. 1.2, p < 0.05; falls: 1.0 versus 1.1, p < 0.05) and significantly more social and cultural engagements per month (social engagements: 92.6% vs. 75.6%, p < 0.05; cultural practices: 78.8% vs. 64.8%, p < 0.05) compared with elders who did not participate in Title VI services. These findings were confirmed by our qualitative data.

CONCLUSIONS

Our findings highlight the vital role that the Title VI program plays in promoting elders' overall health and well-being through decreased hospitalizations and falls and increased connectedness.

Evaluating the Cross-Cultural Measurement Invariance of the PHQ-9 between American Indian/Alaska Native Adults and Diverse Racial and Ethnic Groups

BACKGROUND

The Patient Health Questionnaire-9 (PHQ-9), a self-reported depression screening instrument for measurement-based care (MBC), may have cross-cultural measurement invariance (MI) with a regional group of American Indian/Alaska Native (AI/AN) and non-Hispanic White adults. However, to ensure health equity, research was needed on the cross-cultural MI of the PHQ-9 between other groups of AI/AN peoples and diverse populations.

METHODS

We assessed the MI of the one-factor PHQ-9 model and five previously identified two-factor models between non-Hispanic AI/AN adults (ages 18-64) from healthcare systems A (n=1,759) and B (n=2,701) using secondary data and robust maximum likelihood estimation. We then tested either fully or partially invariant models for MI between either combined or separate AI/AN groups, respectively, and Hispanic (n=7,974), White (n=7,974), Asian (n=6,988), Black (n=6,213), and Native Hawaiian/Pacific Islander (n=1,370) adults from healthcare system B. All had mental health or substance use disorder diagnoses and were seen in behavioral health or primary care from 1/1/2009-9/30/2017.

RESULTS

The one-factor PHQ-9 model was partially invariant, with two-factor models partially, or in one case fully, invariant between AI/AN groups. The one-factor model and three two-factor models were partially invariant between all seven groups, while a two-factor model was fully invariant and another partially invariant between a combined AI/AN group and other racial and ethnic groups.

CONCLUSIONS

Achieving health equity in MBC requires ensuring the cross-cultural validity of measurement tools. Before comparing mean scores, PHQ-9 models should be assessed for individual racial and ethnic group fit for adults with mental health or substance use disorders.