Falling Short: Examining Medical Debt and Cost Avoidance in American Indian and Alaska Native Households.

The Affordable Care Act (ACA) expanded access and assistance to many Americans, but health care remains prohibitively expensive for some, including people with insurance. The COVID-19 pandemic brought to the forefront the precarious conditions of those facing financial and health crises, including American Indians and Alaska Natives (AI/ANs). Theoretically, AI/ANs should have some insulation because of their health care access through Indian Health Service (IHS) and ACA Tribal health insurance options. We use 2018 National Financial Capability Study's survey data to examine household medical debt and cost avoidance behaviors. Findings show AI/ANs are more likely to have medical debt and skip filling prescriptions due to costs than non-Hispanic Whites. Implications are AI/ANs may face financial and health burdens due to insufficient health coverage, possibly exacerbated by the shortcomings of IHS or other underlying factors. Future research should use a qualitative approach to elucidate factors influencing health care finances and behaviors of AI/AN communities.

COVID-19 Among Non-Hispanic American Indian and Alaska Native People Residing in Urban Areas Before and After Vaccine Rollout-Selected States and Counties, United States, January 2020-October 2021.

Objectives. To evaluate COVID-19 disparities among non-Hispanic American Indian/Alaska Native (AI/AN) and non-Hispanic White persons in urban areas. Methods. Using COVID-19 case surveillance data, we calculated cumulative incidence rates and risk ratios (RRs) among non-Hispanic AI/AN and non-Hispanic White persons living in select urban counties in the United States by age and sex during January 22, 2020, to October 19, 2021. We separated cases into prevaccine (January 22, 2020-April 4, 2021) and postvaccine (April 5, 2021-October 19, 2021) periods. Results. Overall in urban areas, the COVID-19 age-adjusted rate among non-Hispanic AI/AN persons (n = 47 431) was 1.66 (95% confidence interval [CI] = 1.36, 2.01) times that of non-Hispanic White persons (n = 2 301 911). The COVID-19 prevaccine age-adjusted rate was higher (8227 per 100 000; 95% CI = 6283, 10 770) than was the postvaccine rate (3703 per 100 000; 95% CI = 3235, 4240) among non-Hispanic AI/AN compared with among non-Hispanic White persons (2819 per 100 000; 95% CI = 2527, 3144; RR = 1.31; 95% CI = 1.17, 1.48). Conclusions. This study highlights disparities in COVID-19 between non-Hispanic AI/AN and non-Hispanic White persons in urban areas. These findings suggest that COVID-19 vaccination and other public health efforts among urban AI/AN communities can reduce COVID-19 disparities in urban AI/AN populations. (Am J Public Health. 2022;112(10):1489-1497. https://doi.org/10.2105/AJPH.2022.306966).

Virtual Research with Urban Native Young Women: Cautionary Tales in the Time of a Pandemic.

BACKGROUND: Community-based participatory research is a particularly powerful approach to research with American Indian and Alaska Native (AIAN) communities who have been subject to a history of mistreatment and unethical research. In person meetings, discussion, and engagement with tribal members and the community have become an essential component of community-based participatory research in AIAN communities. With the advent of the coronavirus disease 2019 pandemic, AIAN communities have moved to close or sharply curtail in-person activities, precluding in-person research methods. Current best practices for research with AIAN communities assumes in-person engagement; little guidance exists on engaging AIAN communities in research using virtual technologies. Our study, Native Women, Young, Strong, Empowered Changing High-risk alcohOl use and Increasing Contraception Effectiveness Study (Native WYSE CHOICES), was intentionally designed before the pandemic to be virtual, including recruitment, enrollment, intervention, and assessment with urban AIAN young women. OBJECTIVES: We present our perspectives on virtual research with AIAN communities, including the critical role of our advisory partners to inform the virtual intervention design and recruitment methods in the formative stages of our project. METHODS: Experiential reflection among research team and community partners. CONCLUSIONS: Virtual technologies, such as videoconferencing, social media, and mobile health apps, offer many tools to reach communities, especially in a pandemic. The virtualization of research with AIAN communities requires a significant investment in time, resources and planning to mitigate disadvantages; it cannot fully replace in-person-based community-based participatory research approaches, but may offer many strengths and unique advantages for research, especially in a pandemic.

American Indian/Alaska Native Child Health and Poverty.

One in three American Indian/Alaska Native (AI/AN) children live in poverty. This rate is higher in some reservation communities. The alarming rates of physical, mental, and social health inequities (eg, poverty) experienced by AI/AN children are symptoms of genocide, a legacy of inhumane Federal Indian policy, and ongoing structural violence. The chronically underfunded Indian Health Service (IHS) is just one example where AI/AN children are not universally guaranteed equitable health care or opportunity to thrive. Poverty is highly predictive of educational achievement, employment opportunities, violence, and ultimately health outcomes. COVID-19 has not only exacerbated physical and mental health inequities experienced by AI/AN communities, but has also intensified the economic consequences of inequity. Thus, it is vital to advocate for programs and policies that are evidence based, incorporate cultural ways of knowing, and dismantle structurally racist policies.

Strong Men, Strong Communities: Revision of a Diabetes Prevention Intervention for American Indian and Alaska Native Men During the COVID-19 Pandemic.

This paper describes the revision of the in-person Strong Men, Strong Communities (SMSC) study to a remote protocol and highlights key successes, challenges, and critical lessons learned applicable to remote trial implementation. The SMSC study is the first randomized controlled trial to exclusively recruit American Indian and Alaska Native men into a diabetes prevention intervention. The five-year randomized controlled trial was in its 42nd month with 99 subjects enrolled when the COVID-19 pandemic ceased all in-person research. The study protocol was revised to accommodate remote implementation which required multiple protocol and procedural changes, including the use of Facebook for national recruitment of participants; alteration of the informed consent process; use of REDCap for independent participant completion of informed consent; revised eligibility criteria; and use of Zoom to deliver intervention classes. The remote study protocol proved superior to the in-person protocol in terms of recruitment, retention, engagement in intervention classes, and efficiency of data collection. Challenges to participation and retention included competing demands of participant's jobs as essential workers and for some, the trauma of the losing a loved one(s) to COVID-19. Future studies are needed to evaluate the effectiveness of a remote protocol in the absence of a pandemic.

Rising Above: COVID-19 Impacts to Culture-Based Programming in Four American Indian Communities.

The COVID-19 pandemic has disproportionately impacted American Indian and Alaska Native (AI/AN) communities. Tribes, tribal organizations, AI/AN youth and community-serving programs, and tribal health organizations have responded and adapted programs and services in response to the COVID-19 pandemic. This paper explores how COVID-19 impacted Native PRIDE, an American Indian non-profit organization, and the tribal communities involved in the Intergenerational Connections Project (ICP). Native PRIDE utilized a mixed-method Indigenous Evaluation Framework (IEF) to reflect on COVID-19 impacts. Qualitative data collected during the COVID-19 pandemic and quantitative data from an online survey helped Native PRIDE explore impacts and recommendations for future programming. With a focus on context and relationship, this paper explores what was felt, observed, and known by program participants and Native PRIDE staff in the delivery of ICP during the COVID-19 pandemic. Results from this evaluation are a reminder of the importance of strengthening cultural resilience by providing access and opportunities for AI/AN youth, elders, and adults.

Development and Cultural Adaptation of Psychological First Aid for COVID-19 Frontline Workers in American Indian/Alaska Native Communities.

The coronavirus disease 19 (COVID-19) pandemic is broadly affecting the mental health and well-being of people around the world, and disproportionately affecting some groups with already pre-existing health inequities. Two groups at greater risk of physical and/or mental health detriments from COVID-19 and more profoundly impacted by the pandemic include frontline workers and American Indian/Alaska Native (AI/AN) communities. To provide support and prevent long-term mental health problems, we culturally adapted a psychological first aid guide specifically for COVID-19 frontline workers serving AI/AN communities. We engaged a diverse, collaborative work group to steer the adaptation content and process. We also held two focus group discussions with frontline workers in AI/AN communities to incorporate their perspectives into the adapted guide. Results from the group discussions and the collaborative work group were compiled, analyzed to extract themes and suggestions, and integrated into the adapted content of the guide. Main adaptations included updating language (i.e., to be more culturally appropriate, less prescriptive, and less text heavy), framing the guide from a harm-reduction lens, incorporating cultural activities, values, and teachings common across diverse AI/AN communities (e.g., importance of being a good relative), and validating feelings and experiences of frontline workers. The resulting adapted guide includes four modules and is available as a free online training. Our adaptation process may serve as a guiding framework for future adaptations of similar resources for specific groups. The adapted guide may stand as an enduring resource to support mental well-being, the prevention of mental health problems, and reduction of health inequities during the pandemic and beyond.

COVID-19 Cases, Hospitalizations, and Deaths Among American Indian or Alaska Native Persons - Alaska, 2020-2021.

American Indian or Alaska Native (AI/AN) persons across the United States face substantial health disparities, including a disproportionately higher incidence of COVID-19 (1,2). AI/AN persons living in Alaska also face serious health and health care challenges, including access to care because 90% of the state's land area is inaccessible by road (3), and approximately one half of the state's AI/AN population (AI/AN race alone or in combination with another race) live in remote rural areas (4). To examine the extent of COVID-19-associated disparities among AI/AN persons living in Alaska, a retrospective analysis of COVID-19 cases reported to the Alaska Department of Health and Social Services (AKDHSS) during March 12, 2020-December 31, 2021, was conducted. The age-adjusted COVID-19 incidence among AI/AN persons was 26,583 per 100,000 standard population, approximately twice the rate among White persons living in Alaska (11,935). The age-adjusted COVID-19-associated hospitalization rate among AI/AN persons was 742 per 100,000, nearly three times the rate among White persons (273) (rate ratio [RR] = 2.72). The age-adjusted COVID-19-related mortality rate among AI/AN persons was 297 per 100,000, approximately three times that among White persons (104; RR = 2.86). Culturally competent public health efforts that are designed in collaboration with AI/AN persons and communities, including support for vaccination and other proven COVID-19 prevention strategies, are critical to reducing COVID-19-associated disparities among AI/AN persons in Alaska.

Elevated SARS-CoV-2 in peripheral blood and increased COVID-19 severity in American Indians/Alaska Natives.

Epidemiological data across the United States show health disparities in COVID-19 infection, hospitalization, and mortality by race/ethnicity. While the association between elevated SARS-CoV-2 viral loads (VLs) (i.e. upper respiratory tract (URT) and peripheral blood (PB)) and increased COVID-19 severity has been reported, data remain largely unavailable for some disproportionately impacted racial/ethnic groups, particularly for American Indian or Alaska Native (AI/AN) populations. As such, we determined the relationship between SARS-CoV-2 VL dynamics and disease severity in a diverse cohort of hospitalized patients. Results presented here are for study participants (n = 94, ages 21-88 years) enrolled in a prospective observational study between May and October 2020 who had SARS-CoV-2 viral clades 20A, C, and G. Based on self-reported race/ethnicity and sample size distribution, the cohort was stratified into two groups: (AI/AN, n = 43) and all other races/ethnicities combined (non-AI/AN, n = 51). SARS-CoV-2 VLs were quantified in the URT and PB on days 0-3, 6, 9, and 14. The strongest predictor of severe COVID-19 in the study population was the mean VL in PB (OR = 3.34; P = 2.00 × 10-4). The AI/AN group had the following: (1) comparable co-morbidities and admission laboratory values, yet more severe COVID-19 (OR = 4.81; P = 0.014); (2) a 2.1 longer duration of hospital stay (P = 0.023); and (3) higher initial and cumulative PB VLs during severe disease (P = 0.025). Moreover, self-reported race/ethnicity as AI/AN was the strongest predictor of elevated PB VLs (ß = 1.08; P = 6.00 × 10-4) and detection of SARS-CoV-2 in PB (hazard ratio = 3.58; P = 0.004). The findings presented here suggest a strong relationship between PB VL (magnitude and frequency) and severe COVID-19, particularly for the AI/AN group.

In-Hospital Mortality Disparities Among American Indian and Alaska Native, Black, and White Patients With COVID-19.

Importance: American Indian and Alaska Native populations have some of the highest COVID-19 hospitalization and mortality rates in the US, with those in Mississippi being disparately affected. Higher COVID-19 mortality rates among Indigenous populations are often attributed to a higher comorbidity burden, although examinations of these associations are scarce, and none were believed to have included individuals hospitalized in Mississippi. Objective: To evaluate whether racial mortality differences among adults hospitalized with COVID-19 are associated with differential comorbidity experiences. Design, Setting, and Participants: The described cross-sectional study used retrospective hospital discharge data from the Mississippi Inpatient Outpatient Data System. All adult (aged ≥18 years) Mississippians of a known racial identity and who had been hospitalized with COVID-19 from March 1 to December 31, 2020, in any of the state's 103 nonfederal hospitals were included. Data were abstracted on June 17, 2021. Exposure: Racial identity. Main Outcomes and Measures: In-hospital mortality as indicated by discharge status. Results: A total of 18 731 adults hospitalized with a COVID-19 diagnosis and known racial identity were included (median age, 66 [IQR, 53-76] years; 10 109 [54.0%] female; 225 [1.2%] American Indian and Alaska Native; 9191 [49.1%] Black; and 9121 [48.7%] White). Pooling across comorbidity risk groups, odds of in-hospital mortality among Black patients were 75% lower than among American Indian and Alaska Native patients (odds ratio [OR], 0.25 [95% CI, 0.18-0.34]); odds of in-hospital death among White patients were 77% lower (OR, 0.23 [95% CI, 0.16-0.31]). Within comorbidity risk group analyses, Indigenous patients with the lowest risk (Elixhauser Comorbidity Index score ≤0) had an adjusted probability of in-hospital death of 0.10 compared with 0.03 for Black patients (OR, 0.29 [95% CI, 0.10-0.82]) and 0.04 for White patients (OR, 0.37 [95% CI, 0.13-1.07]). Probability of in-hospital death at the highest comorbidity risk levels (Elixhauser Comorbidity Index score ≥16) was 0.69 for American Indian and Alaska Native patients compared with 0.28 for Black patients (OR, 0.16 [95% CI, 0.08-0.32]) and 0.25 for White patients (OR, 0.14 [95% CI, 0.07-0.27]). Conclusions and Relevance: This cross-sectional study of US adults hospitalized with COVID-19 found that American Indian and Alaska Native patients had lower comorbidity risk scores than those observed among Black or White patients. Despite empirical associations between reduced comorbidity risk scores and reduced odds of inpatient mortality, American Indian and Alaska Native patients were significantly more likely to die in the hospital of COVID-19 than Black or White patients at every level of comorbidity risk. Alternative factors that may contribute to high mortality rates among Indigenous populations must be investigated.

Masculinity Barriers to Ever Completing Colorectal Cancer Screening among American Indian/Alaska Native, Black, and White Men (Ages 45-75).

Disparities in colorectal cancer (CRC) mortality among White, Black, and American Indian/Alaska Native (AIAN) men are attributable to differences in early detection screening. Determining how masculinity barriers influence CRC screening completion is critical for cancer prevention and control. To determine whether masculinity barriers to medical care are associated with lower rates of ever completing CRC screening, a survey-based study was employed from December 2020-January 2021 among 435 White, Black, and AIAN men (aged 45-75) who resided in the US. Logistic regression models were fit to four Masculinity Barriers to Medical Care subscales predicting ever completing CRC screening. For all men, being strong was associated with 54% decreased odds of CRC screening completion (OR 0.46, 95% CI 0.23 to 0.94); each unit increase in negative attitudes toward medical professionals and exams decreased the odds of ever completing CRC screening by 57% (OR 0.43, 95% CI 0.21 to 0.86). Black men who scored higher on negativity toward medical professionals and exams had decreased odds of ever screening. Consideration of masculinity in future population-based and intervention research is critical for increasing men's participation in CRC screening, with more salience for Black men.

Antigen Test Positivity After COVID-19 Isolation - Yukon-Kuskokwim Delta Region, Alaska, January-February 2022.

Isolation is recommended during acute infection with SARS-CoV-2, the virus that causes COVID-19, but the duration of infectiousness varies among individual persons. Rapid antigen test results have been correlated with detection of viable virus (1-3) and might inform isolation guidance, but data are limited for the recently emerged SARS-CoV-2 B.1.1.529 (Omicron) variant. On January 5, 2022, the Yukon-Kuskokwim Health Corporation (YKHC) recommended that persons with SARS-CoV-2 infection isolate for 10 days after symptom onset (or, for asymptomatic persons, 10 days after a positive nucleic acid amplification or antigen test result). However, isolation could end after 5-9 days if symptoms were resolving or absent, fever was absent for ≥24 hours without fever-reducing medications, and an Abbott BinaxNOW COVID-19 Ag (BinaxNOW) rapid antigen test result was negative. Antigen test results and associated individual characteristics were analyzed among 3,502 infections reported to YKHC during January 1-February 9, 2022. After 5-9 days, 396 of 729 persons evaluated (54.3%) had a positive antigen test result, with a declining percentage positive over time. In a multivariable model, a positive antigen test result was more likely after 5 days compared with 9 days (adjusted odds ratio [aOR] = 6.39) or after symptomatic infection (aOR = 9.63), and less likely after previous infection (aOR = 0.30), receipt of a primary COVID-19 vaccination series (aOR = 0.60), or after both previous infection and receipt of a primary COVID-19 vaccination series (aOR = 0.17). Antigen tests might be a useful tool to guide recommendations for isolation after SARS-CoV-2 infection. During the 10 days after infection, persons might be infectious to others and are recommended to wear a well-fitting mask when around others, even if ending isolation after 5 days.

Changes in Sleep-Wake Patterns and Disturbances Before and During COVID-19 in Urban American Indian/ Alaska Native Adolescents.

BACKGROUND: COVID-19 has profoundly affected sleep, although little research has focused on high-risk populations for poor sleep health, including American Indian/Alaska Native (AI/AN) adolescents. METHODS: This is the first longitudinal study to examine changes in sleep with surveys completed before the pandemic and during the early months of COVID-19 in a sample of urban AI/AN adolescents (N = 118; mean age = 14 years at baseline; 63% female). We use a mixed-methods approach to explore how COVID-19 affected urban AI/AN adolescents' sleep, daily routines, and interactions with family and culture. Quantitative analysis examined whether pandemic-related sleep changes were significant and potential moderators of COVID-19's effect on sleep, including family and community cohesion and engagement in traditional practices. RESULTS: : Findings demonstrate changes in sleep, including increases in sleep duration, delays in bedtimes and waketimes, and increases in sleep-wake disturbances (p's <.001). Higher levels of family cohesion and higher levels of engagement in traditional practices moderated pandemic-related increases in weekday sleep duration. Qualitative analyses revealed changes in adolescents' sleep and daily behaviors, as well as strategies adolescents used to cope with pandemic-related disruptions in sleep and routines. CONCLUSION: Findings demonstrate positive and negative changes in sleep during COVID-19 stay-at-home orders, including simultaneous increases in sleep duration and sleep-wake disturbances. Results highlight the importance of considering multi-level influences on adolescent sleep, such as early school start times, family dynamics, and cultural factors. A multi-level approach may help guide prevention and intervention efforts to improve adolescent sleep health.

COVID-19 Pandemic and Indigenous Representation in Public Health Data.

Public Health 3.0 calls for the inclusion of new partners and novel data to bring systemic change to the US public health landscape. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has illuminated significant data gaps influenced by ongoing colonial legacies of racism and erasure. American Indian and Alaska Native (AI/AN) populations and communities have been disproportionately affected by incomplete public health data and by the COVID-19 pandemic itself. Our findings indicate that only 26 US states were able to calculate COVID-19‒related death rates for AI/AN populations. Given that 37 states have Indian Health Service locations, we argue that public health researchers and practitioners should have a far larger data set of aggregated public health information on AI/AN populations. Despite enormous obstacles, local Tribal facilities have created effective community responses to COVID-19 testing, tracking, and vaccine administration. Their knowledge can lead the way to a healthier nation. Federal and state governments and health agencies must learn to responsibly support Tribal efforts, collect data from AI/AN persons in partnership with Indian Health Service and Tribal governments, and communicate effectively with Tribal authorities to ensure Indigenous data sovereignty. (Am J Public Health. 2021;111(S3): S208-S214. https://doi.org/10.2105/AJPH.2021.306415).

The Role of Community-Level Factors on Disparities in COVID-19 Infection Among American Indian/Alaska Native Veterans.

OBJECTIVES: American Indian and Alaska Native (AI/AN) communities have been disproportionately affected by the coronavirus disease 2019 (COVID-19) pandemic. This study examines whether neighborhood characteristics mediate AI/AN versus White-non-Hispanic Veteran COVID-19 infection disparities, and whether mediation differs based on proximity to reservations. METHODS: Using Veteran Health Administration's (VHA) national database of VHA users evaluated for COVID-19 infection (3/1/2020-8/25/2020), we examined whether census tract neighborhood characteristics (percent households overcrowded, without complete plumbing, without kitchen plumbing, and neighborhood socioeconomic status [n-SES]) mediated racial disparities in COVID-19 infection, using inverse odds-weighted logistic models controlling for individual-level characteristics. Using moderated mediation analyses, we assessed whether neighborhood mediating effects on disparities differed for those residing in counties containing/near federally recognized tribal lands (i.e., Contract Health Service Delivery Area [CHSDA] counties) versus not. RESULTS: The percent of households without complete plumbing, percent without kitchen plumbing, and n-SES partially mediated AI/AN-White-non-Hispanic COVID-19 infection disparities (accounting for 17-35% of disparity) to a similar extent in CHSDA and non-CHSDA counties. The percent of households without kitchen plumbing had stronger mediating effects for CHSDA than non-CHSDA residents. CONCLUSIONS: Neighborhood-level social determinants of health may contribute to the disproportionate COVID-19 infection burden on AI/ANs; differences are exacerbated among AI/ANs living near reservations.

Dietary fibre to reduce colon cancer risk in Alaska Native people: the Alaska FIRST randomised clinical trial protocol.

INTRODUCTION: Diet, shown to impact colorectal cancer (CRC) risk, is a modifiable environmental factor. Fibre foods fermented by gut microbiota produce metabolites that not only provide food for the colonic epithelium but also exert regulatory effects on colonic mucosal inflammation and proliferation. We describe methods used in a double-blinded, randomised, controlled trial with Alaska Native (AN) people to determine if dietary fibre supplementation can substantially reduce CRC risk among people with the highest reported CRC incidence worldwide. METHODS AND ANALYSES: Eligible patients undergoing routine screening colonoscopy consent to baseline assessments and specimen/data collection (blood, urine, stool, saliva, breath and colon mucosal biopsies) at the time of colonoscopy. Following an 8-week stabilisation period to re-establish normal gut microbiota post colonoscopy, study personnel randomise participants to either a high fibre supplement (resistant starch, n=30) or placebo (digestible starch, n=30) condition, repeating stool sample collection. During the 28-day supplement trial, each participant consumes their usual diet plus their supplement under direct observation. On day 29, participants undergo a flexible sigmoidoscopy to obtain mucosal biopsy samples to measure the effect of the supplement on inflammatory and proliferative biomarkers of cancer risk, with follow-up assessments and data/specimen collection similar to baseline. Secondary outcome measures include the impact of a high fibre supplement on the oral and colonic microbiome and biofluid metabolome. ETHICS AND DISSEMINATION: Approvals were obtained from the Alaska Area and University of Pittsburgh Institutional Review Boards and Alaska Native Tribal Health Consortium and Southcentral Foundation research review bodies. A data safety monitoring board, material transfer agreements and weekly study team meetings provide regular oversight throughout the study. Study findings will first be shared with AN tribal leaders, health administrators, providers and community members. Peer-reviewed journal articles and conference presentations will be forthcoming once approved by tribal review bodies. TRIAL REGISTRATION NUMBER: NCT03028831.