COVID-19 Pandemic and Indigenous Representation in Public Health Data

Public Health Data Exchange Through Health Information Exchange Organizations: National Survey Study

Background

The COVID-19 pandemic revealed major gaps in public health agencies' (PHAs') data and reporting infrastructure, which limited the ability of public health officials to conduct disease surveillance, particularly among racial or ethnic minorities disproportionally affected by the pandemic. Leveraging existing health information exchange organizations (HIOs) is one possible mechanism to close these technical gaps, as HIOs facilitate health information sharing across organizational boundaries.

Objective

The aim of the study is to survey all HIOs that are currently operational in the United States to assess HIO connectivity with PHAs and HIOs' capabilities to support public health data exchange.

Methods

Drawing on multiple sources, we identified all potential local, regional, and state HIOs that were operational in the United States as of March 1, 2022. We defined operational as HIOs that facilitated exchange between at least 2 independent entities. We fielded a survey among our census list of 135 HIOs in January-July 2023. The survey confirmed HIO status as well as captured organizational demographics and current and potential support for PHAs. We report descriptive statistics on HIO demographics and connectivity with PHAs. We also include results on services and data available to support PHAs, funding sources to support public health reporting, and barriers to public health reporting. Of the 135 potential HIOs that received the survey, 90 met our definition of an HIO, and 77 completed the survey, yielding an 86% response rate.

Results

We found that 66 (86%) of HIOs in 45 states were electronically connected to at least 1 PHA, yielding 187 HIO-PHA connections across all HIOs. Among HIOs connected to PHAs, the most common type of public health reporting supported by HIOs was immunization registry (n=39, 64%), electronic laboratory result (n=37, 63%), and syndromic surveillance (n=34, 61%). In total, 58% (n=38) of HIOs connected to PHAs provided data to address COVID-19 information gaps, and an additional 30% (n=20) could do so. The most common types of data provided to PHAs were hospitalization information (n=54, 93%), other demographic data (n=53, 91%), health information (eg, chronic health conditions; n=51, 88%), and hospital laboratory results (n=51, 88%). A total of 64% (n=42) of HIOs provided at least 1 type of data analytic service to PHAs to support COVID-19 pandemic response efforts. Top HIO reported barriers to support PHA activities included limited PHA funding (n=21, 32%) and PHAs' competing priorities (n=15, 23%).

Conclusions

Our results show that many HIOs are already connected to PHAs and that they are assuming an emerging role to facilitate public health reporting. HIOs are well-positioned to provide value-added support for public health data exchange and address PHAs' information gaps, as ongoing federal efforts to modernize public health data infrastructure and interoperability continue.

A GIS software-based method to identify public health data belonging to address-defined communities

OBJECTIVE

This communication presents the results of defining a tribal health jurisdiction by a combination of tribal affiliation (TA) and case address.

MATERIALS AND METHODS

Through a county-tribal partnership, Geographic Information System (GIS) software and custom code were used to extract tribal data from county data by identifying reservation addresses in county extracts of COVID-19 case records from December 30, 2019, to December 31, 2022 (n = 374 653) and COVID-19 vaccination records from December 1, 2020, to April 18, 2023 (n = 2 355 058).

RESULTS

The tool identified 1.91 times as many case records and 3.76 times as many vaccination records as filtering by TA alone.

DISCUSSION AND CONCLUSION

This method of identifying communities by patient address, in combination with TA and enrollment, can help tribal health jurisdictions attain equitable access to public health data, when done in partnership with a data sharing agreement. This methodology has potential applications for other populations underrepresented in public health and clinical research.

Virus-like structures for combination antigen protein mRNA vaccination

Improved vaccination requires better delivery of antigens and activation of the natural immune response. Here we report a lipid nanoparticle system with the capacity to carry antigens, including mRNA and proteins, which is formed into a virus-like structure by surface decoration with spike proteins, demonstrating application against SARS-CoV-2 variants. The strategy uses S1 protein from Omicron BA.1 on the surface to deliver mRNA of S1 protein from XBB.1. The virus-like particle enables specific augmentation of mRNAs expressed in human respiratory epithelial cells and macrophages via the interaction the surface S1 protein with ACE2 or DC-SIGN receptors. Activation of macrophages and dendritic cells is demonstrated by the same receptor binding. The combination of protein and mRNA increases the antibody response in BALB/c mice compared with mRNA and protein vaccines alone. Our exploration of the mechanism of this robust immunity suggests it might involve cross-presentation to diverse subsets of dendritic cells ranging from activated innate immune signals to adaptive immune signals.

Competing interests: digital health and indigenous data sovereignty

Digital health is increasingly promoting open health data. Although this open approach promises a number of benefits, it also leads to tensions with Indigenous data sovereignty movements led by Indigenous peoples around the world who are asserting control over the use of health data as a part of self-determination. Digital health has a role in improving access to services and delivering improved health outcomes for Indigenous communities. However, we argue that in order to be effective and ethical, it is essential that the field engages more with Indigenous peoples´ rights and interests. We discuss challenges and possible improvements for data acquisition, management, analysis, and integration as they pertain to the health of Indigenous communities around the world.

Democratizing Native Hawaiian and Pacific Islander Data: Examining Community Accessibility of Data for Health and the Social Drivers of Health

Making data accessible to communities is essential for developing community-driven solutions to address health inequities. In this analytic essay, we highlight the importance of democratizing data for Native Hawaiians and Pacific Islanders (NHPIs)-diverse populations that historically have had little access to their data-in the context of achieving equity in health and the social drivers of health. We provide a framework for evaluating community accessibility of data, which includes concepts of data availability, salience, cost, and report back. We apply the framework to evaluate community accessibility of NHPI data from 29 federal data sources. In addition, we provide results from a survey of NHPI-serving community organizations in California conducted from December 2021 to February 2022 to assess community data needs. Findings reveal federal gaps in data accessibility, as well as NHPI community organizational needs for increased data accessibility, data saliency, and technical capacity. Furthermore, organization leads expressed concerns about data privacy, security, and misuse. We provide recommendations for data custodians to improve accessibility of timely, accurate, and robust data to support NHPI communities. (Am J Public Health. 2024;114(S1):S103-S111. https://doi.org/10.2105/AJPH.2023.307503).

Misracialization of Indigenous people in population health and mortality studies: a scoping review to establish promising practices

Indigenous people are often misracialized as other racial or ethnic identities in population health research. This misclassification leads to underestimation of Indigenous-specific mortality and health metrics, and subsequently, inadequate resource allocation. In recognition of this problem, investigators around the world have devised analytic methods to address racial misclassification of Indigenous people. We carried out a scoping review based on searches in PubMed, Web of Science, and the Native Health Database for empirical studies published after 2000 that include Indigenous-specific estimates of health or mortality and that take analytic steps to rectify racial misclassification of Indigenous people. We then considered the weaknesses and strengths of implemented analytic approaches, with a focus on methods used in the US context. To do this, we extracted information from 97 articles and compared the analytic approaches used. The most common approach to address Indigenous misclassification is to use data linkage; other methods include geographic restriction to areas where misclassification is less common, exclusion of some subgroups, imputation, aggregation, and electronic health record abstraction. We identified 4 primary limitations of these approaches: (1) combining data sources that use inconsistent processes and/or sources of race and ethnicity information; (2) conflating race, ethnicity, and nationality; (3) applying insufficient algorithms to bridge, impute, or link race and ethnicity information; and (4) assuming the hyperlocality of Indigenous people. Although there is no perfect solution to the issue of Indigenous misclassification in population-based studies, a review of this literature provided information on promising practices to consider.

COVID-19 vaccination in urban American Indian and Alaska Native children: Parental characteristics, beliefs and attitudes associated with vaccine acceptance

Background

Little is known about vaccination rates for American Indian and Alaska Native (AI/AN) parents and their children, or parental decisions in this regard. Improving vaccination rates is a serious concern due to the disproportionate incidence and morbidity of COVID-19 in AI/AN people.

Purpose

Our goal was to describe urban AI/AN parental attributes associated with COVID-19 vaccination of their children.

Methods

Survey participants (n = 572) were ≥18 years of age, had children ≥5 years of age, AI/AN, and seen at one of six urban health organizations serving primarily AI/AN people within the prior year. They were asked about gender, age, education, marital status, perceived stress, trauma history, whether they had received the COVID-19 vaccine, tested positive for COVID-19 in the past, and if their child was vaccinated. They were also asked about 16 vaccine hesitancy reasons.

Results

Parental vaccination rate was 82%, with 59% of their children vaccinated. Parents who vaccinated their children were older, had higher education, lower stress and trauma, and were more likely to be vaccinated compared to parents who did not vaccinate their children. Forty-two percent of parents indicated they would likely vaccinate their unvaccinated child in the future. Sixteen vaccine hesitancy reasons revealed four factors: distrust, inconvenience, lack of concern about the pandemic, and AI/AN concerns. Parents who had no plans to vaccinate their children had the highest vaccine distrust and lack of concern about the pandemic. Parents with greater vaccine distrust and AI/AN specific concern reported significantly greater trauma history and higher levels of education.

Conclusion

Even though vaccination rates for AI/AN parents and children are high, the consequences of COVID-19 for AI/AN people are more severe than for other US populations. Providers should use trauma-informed, trust-building and culturally competent communication when discussing choices about vaccination with AI/AN parents.

Cross-sectional Associations of Multiracial Identity with Self-Reported Asthma and Poor Health Among American Indian and Alaska Native Adults

INTRODUCTION

American Indian and Alaska Native (AI/AN) multiracial subgroups are underrecognized in health outcomes research.

METHODS

We performed a cross-sectional analysis of Behavioral Risk Factor Surveillance System surveys (2013-2019), including adults who self-identified as AI/AN only (single race AI/AN, n = 60,413) or as AI/AN and at least one other race (multiracial AI/AN, (n = 6056)). We used log binomial regression to estimate the survey-weighted prevalence ratios (PR) and 95% confidence intervals (CI) of lifetime asthma, current asthma, and poor self-reported health among multiracial AI/AN adults compared to single race AI/AN adults, adjusting for age, obesity, and smoking status. We then examined whether associations differed by sex and by Latinx identity.

RESULTS

Lifetime asthma, current asthma, and poor health were reported by 25%, 18%, and 30% of multiracial AI/AN adults and 18%, 12%, and 28% single race AI/AN adults. Multiracial AI/AN was associated with a higher prevalence of lifetime (PR 1.30, 95% CI 1.18-1.43) and current asthma (PR 1.36, 95% CI 1.21-1.54), but not poor health. Associations did not differ by sex. The association of multiracial identity with current asthma was stronger among AI/AN adults who identified as Latinx (PR 1.77, 95% CI 1.08-2.94) than non-Latinx AI/AN (PR 1.18, 95% CI 1.04-1.33), p-value for interaction 0.03.

CONCLUSIONS

Multiracial AI/AN adults experience a higher prevalence of lifetime and current asthma compared to single race AI/AN adults. The association between multiracial identity and current asthma is stronger among AI/AN Latinx individuals. The mechanisms for these findings remain under-explored and merit further study.

Effectiveness of a COVID-19 Vaccine Rollout in a Highly Affected American Indian Community, San Carlos Apache Tribe, December 2020-February 2021

COVID-19 has disproportionately affected American Indian Tribes, including the San Carlos Apache Tribe, which resides on 1.8 million acres in Arizona and has 16 788 official members. High vaccination rates among American Indian/Alaska Native people in the United States have been reported, but information on how individual Tribes achieved these high rates is scarce. We describe the COVID-19 epidemiology and vaccine rollout in the San Carlos Apache Tribe using data extracted from electronic health records from the San Carlos Apache Healthcare Corporation (SCAHC). By mid-December 2020, 19% of the San Carlos Apache population had received a positive reverse transcription polymerase chain reaction test for SARS-CoV-2, the virus that causes COVID-19. The Tribe prioritized for vaccination population groups with the highest risk for severe COVID-19 outcomes (eg, those aged ≥65 years, who had a 46% risk of hospitalization if infected vs 13% overall). SCAHC achieved high early COVID-19 vaccination rates in the San Carlos community relative to the state of Arizona (47.6 vs 25.2 doses per 100 population by February 27, 2021). These vaccination rates reflected several strategies that were implemented to achieve high COVID-19 vaccine access and uptake, including advance planning, departmental vaccine education sessions within SCAHC, radio and Facebook postings featuring Tribal leaders in the Apache language, and pop-up community vaccine clinics. The San Carlos Apache Tribe's vaccine rollout strategy was an early success story and may provide a model for future vaccination campaigns in other Tribal nations and rural communities in the United States.

Elder-led cultural identity program as counterspace at a public university: Narratives on sense of community, empowering settings, and empowerment

Higher education institutions present unique settings in which identities and life paths are distinctively shaped. While at their best universities should serve as empowering settings that support their members to grow and develop, to raise awareness of injustice, and to catalyze change, too often systems of higher education in the United States serve to marginalize Indigenous cultures and promote assimilation to White, Euro-American cultures. Counterspaces offer an important response, spaces developed by and for people experiencing oppression that allow for solidarity-building, social support, healing, resource attainment, skill-building, resistance, counter-storytelling, and ideally, empowerment. The Alaska Native (AN) Cultural Identity Project (CIP) is based at an urban U.S.-based university and was rolled out during the COVID-19 pandemic. Developed from the best available scientific and practice literature, local data from AN students, and traditional wisdom from Elders, CIP incorporated storytelling, experiential learning, connection, exploration, and sharing of identity and cultural strengths with the aim of helping AN students understand who they are and who they are becoming. In all, 44 students, 5 Elders, and 3 additional staff participated in the space. In this paper, we sought to understand how CIP was experienced by these unique members who co-created and engaged in this space through 10 focus groups with 36 of the CIP members. We found that the counterspace promoted a sense of community, served as an empowering setting, and set the stage for empowering actions and ripple effects beyond its impact on individuals.

Knowing Who You Are (Becoming): Effects of a university-based elder-led cultural identity program on Alaska Native students' identity development, cultural strengths, sense of community, and behavioral health

In part due to cultural loss and identity disruption over many generations from colonial and neocolonial forces, significant emotional/behavioral health disparities exist among Alaska Native (AN) people. Such forces are apparent in higher education, where many AN students feel othered and are more likely to withdraw without a degree than their nonnative counterparts. A strong cultural identity has been found to buffer psychosocial difficulties. The AN Cultural Identity Project (CIP) was developed from the best available scientific literature, local data from AN students, and traditional wisdom from Elders to support cultural identity development. This 8-week Elder-led program incorporated storytelling, experiential learning, connection, exploration, and sharing of identity and cultural strengths to help students remain grounded in their cultures across settings in the hopes of improving emotional/behavioral health outcomes. Through a stepped-wedge design randomized controlled trial, we examined the impact of CIP on cultural identity, cultural strengths, sense of community, and emotional/behavioral health across two cohorts of 44 AN students who ranged in age from 18 to 54 years. On average, students attended 75% of the program. The program had positive impacts on students' cultural identity development, endorsement of cultural strengths, sense of community with AN people at the university, and overall emotional/behavioral health. While gains in some outcomes were sustained over time, others were not, suggesting the potential benefits of a lengthened program. As the first program of its kind directed at AN university students of diverse cultural groups in urban settings, CIP shows promise for supporting emotional/behavioral health through cultural identity development. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Translating Intersectionality to Fair Machine Learning in Health Sciences

Fairness approaches in machine learning should involve more than assessment of performance metrics across groups. Shifting the focus away from model metrics, we reframe fairness through the lens of intersectionality, a Black feminist theoretical framework that contextualizes individuals in interacting systems of power and oppression.

Social presence for strategic health messages: An examination of state governments' use of Twitter to tackle the Covid-19 pandemic

Scholars investigated the role of social presence theory in numerous communication contexts. However, we have limited knowledge about the impact of social presence strategies on public attention during a pandemic. This study fills this gap by investigating the connections between social presence strategies, Covid-19 strategies, and public attention. Twitter data of state governments from January 21, 2020 to July 21, 2020 were downloaded for this study. Content analysis of 1500 randomly selected posts revealed that social presence strategies were effective in generating public attention on Twitter. Furthermore, expressing appreciation, providing guidance, and informing the publics about governments' actions generated public attention. Theoretical and practical implications are discussed.

Conceptualizing, Contextualizing, and Operationalizing Race in Quantitative Health Sciences Research

Differences in health outcomes across racial groups are among the most commonly reported findings in health disparities research. Often, these studies do not explicitly connect observed disparities to mechanisms of systemic racism that drive adverse health outcomes among racialized and other marginalized groups in the United States. Without this connection, investigators inadvertently support harmful narratives of biologic essentialism or cultural inferiority that pathologize racial identities and inhibit health equity. This paper outlines pitfalls in the conceptualization, contextualization, and operationalization of race in quantitative population health research and provides recommendations on how to appropriately engage in scientific inquiry aimed at understanding racial health inequities. Race should not be used as a measure of biologic difference, but rather as a proxy for exposure to systemic racism. Future studies should go beyond this proxy use and directly measure racism and its health impacts.VISUAL ABSTRACTAppeared as Annals "Online First" article.

Health Equity Tourism: Ravaging the Justice Landscape

As the long-standing and ubiquitous racial inequities of the United States reached national attention, the public health community has witnessed the rise of “health equity tourism”. This phenomenon is the process of previously unengaged investigators pivoting into health equity research without developing the necessary scientific expertise for high-quality work. In this essay, we define the phenomenon and provide an explanation of the antecedent conditions that facilitated its development. We also describe the consequences of health equity tourism – namely, recapitulating systems of inequity within the academy and the dilution of a landscape carefully curated by scholars who have demonstrated sustained commitments to equity research as a primary scientific discipline and praxis. Lastly, we provide a set of principles that can guide novice equity researchers to becoming community members rather than mere tourists of health equity.