Community-Level Factors are Predictors of Severe Maternal Morbidity Among American Indian and Alaska Native Pregnant People in the Pacific Northwest in a Multilevel Logistic Regression.

INTRODUCTION: American Indian/Alaska Native (AI/AN) pregnant people face barriers to health and healthcare that put them at risk of pregnancy complications. Rates of severe maternal morbidity (SMM) among Indigenous pregnant people are estimated to be twice that of non-Hispanic White (NHW) pregnant people. METHODS: Race-corrected Oregon Hospital Discharge and Washington Comprehensive Hospital Abstract Reporting System data were combined to create a joint dataset of births between 2012 and 2016. The analytic sample was composed of 12,535 AI/AN records and 313,046 NHW records. A multilevel logistic regression was used to assess the relationship between community-level, individual and pregnancy risk factors on SMM for AI/AN pregnant people. RESULTS: At the community level, AI/AN pregnant people were more likely than NHW to live in mostly or completely rural counties with low median household income and high uninsured rates. They were more likely to use Medicaid, be in a high-risk age category, and have diabetes or obesity. During pregnancy, AI/AN pregnant people were more likely to have insufficient prenatal care (PNC), gestational diabetes, and pre-eclampsia. In the multilevel model, county accounted for 6% of model variance. Hypertension pre-eclampsia, and county rurality were significant predictors of SMM among AI/AN pregnant people. High-risk age, insufficient PNC and a low county insured rate were near-significant at p < 0.10. DISCUSSION: Community-level factors are significant contributors to SMM risk for AI/AN pregnant people in addition to hypertension and pre-eclampsia. These findings demonstrate the need for targeted support in pregnancy to AI/AN pregnant people, particularly those who live in rural and underserved communities.

What is already known on this subject? American Indian and Alaska Native pregnant people face higher rates of severe maternal morbidity and mortality, and the risk is exacerbated for rural Indigenous pregnant people.What this study adds? This publication uses a multilevel model to assess the contribution of community-level factors in severe maternal morbidity risk for American Indian and Alaska Native pregnant people. This analysis highlights the important role that rurality, prenatal care adequacy and access to insurance play in maternal morbidity risk and discusses how those risks are disproportionately felt by American Indian and Alaska Native pregnant people in the Pacific Northwest.

Dermatology Access and Needs of American Indian and Alaska Native People.

OBJECTIVES: To describe skin disease prevalence, access to dermatologic care, and teledermatology interest among American Indians and Alaska Natives. METHODS: Data were collected via self-report surveys administered in person at two community powwows in Denver, Colorado in 2021 and 2022. RESULTS: Most American Indian and/or Alaska Native respondents (94.5%, n=225) reported at least one skin disease. The top three active skin diseases among adolescents were acne, scarring, and eczema. The top three among adults were dry skin, hair loss, and acne. Only 20.9% (n=47) of respondents with skin disease had seen a dermatologist. Approximately one-third of respondents (34.0%, n=81) were open to engaging with teledermatology in their home; 43.3% (n=103) were open to engaging with teledermatology in their local clinic; 42.0% (n=100) were not interested in engaging teledermatology from their home or in their local clinic. CONCLUSIONS: Skin disease is prevalent and access to dermatologic care is poor among American Indian and Alaska Native people.

Identifying Disparities in Health Outcomes and Mortality for American Indian and Alaska Native Populations Using Tribally Disaggregated Vital Statistics and Health Survey Data.

Objectives. To determine the impact of disaggregated mortality and health surveillance data on the ability to identify health disparities for American Indian and Alaska Native (AI/AN) subpopulations. Methods. We conducted a systematic review of reporting categories for AI/AN decedents on official death certificates for all 50 US states. Using public data from the 2017-2018 California Health Interview Survey (CHIS), we conducted bivariate and multivariate analyses to assess disparities in health conditions and outcomes for tribally enrolled and non‒tribally enrolled AI/AN persons compared with non-Hispanic Whites. Results. There was no standard for the collection of tribal enrollment data or AI/AN race on death certificates across all 50 states. There were stark differences in the incidence and prevalence of various health risk factors and chronic diseases for the tribally enrolled AI/AN subpopulation, non‒tribally enrolled AI/AN subpopulation, and non-Hispanic White comparison group. Conclusions. The collection of tribal enrollment data in vital statistics and health surveillance systems is necessary to identify and respond to health disparities among AI/AN subpopulations. These efforts must be conducted in partnership with tribal nations and consider Indigenous data sovereignty.