Prioritizing Connection and Centering on Community: Take Your Shoes Off and Don't Put Your Feet on the Furniture.

This column describes what it means to be "in" a community and how to create a leading role for community partners in shaping research. It highlights essential components for conducting clinical and translational research in the community, including: (1) invitation to share history and purpose; (2) community-initiated collaboration and engagement; (3) focus on social and cultural determinants of health; (4) community-driven measures and frameworks; (5) application of Indigenous methods and approaches; and (6) implementation of Indigenous and adaptable interventions. Partnering with a community entails building relationships and positioning research around community interests, using methodologies and interventions right for the community.

I kua na'u "Let me carry out your last wishes" Clinical trial protocol to promote advance care planning among native Hawaiian populations.

Advance Care Planning (ACP) is a communication process about serious illness decision making designed to inform patients of possible medical options. Native Hawaiians consistently have low rates of ACP and low use of palliative and hospice care services. Our multidisciplinary community and research group partnered to create I kua na'u "Let Me Carry Out Your Last Wishes," an ACP intervention featuring culturally tailored videos and are now testing its efficacy. Focus groups and informant interviews were conducted with Native Hawaiian community members to ensure the curriculum honored the history, opinions, and culture of Native Hawaiians. Native Hawaiian culture has traditionally been an oral culture; the spoken word transmitted the mo'olelo, stories, traditions, histories and genealogies, which merges seamlessly with video media. The I kua na'u intervention included multiple educational sessions enhanced with videos (informational and personal). The specific aims are to compare ACP knowledge (primary outcome) and readiness for ACP engagement, ACP preferences, decisional conflict, and ACP completion rates via electronic medical record review (secondary outcomes) in 220 Native Hawaiians over age 55 in: (a) a randomized controlled trial of 110 people recruited from ambulatory clinics, and (b) a pre-post study design among 110 people living on Hawaiian Homestead communities located on lands set aside for Native Hawaiians or assisted living. Our protocol aims to evaluate the efficacy of our video-based educational intervention for Native Hawaiians to support decision making in this community and decrease disparities in serious illness care. Clinical Trial Registration Number: NCT04771208.

Differences in COVID-19 Hospitalizations by Self-Reported Race and Ethnicity in a Hospital in Honolulu, Hawaii.

INTRODUCTION: The true extent of racial and ethnic disparities in COVID-19 hospitalizations may be hidden by misclassification of race and ethnicity. This study aimed to quantify this inaccuracy in a hospital's electronic medical record (EMR) against the gold standard of self-identification and then project data onto state-level COVID-19 hospitalizations by self-identified race and ethnicity. METHODS: To identify misclassification of race and ethnicity in the EMRs of a hospital in Honolulu, Hawaii, research and quality improvement staff members surveyed all available patients (N = 847) in 5 cohorts in 2007, 2008, 2010, 2013, and 2020 at randomly selected hospital and ambulatory units. The survey asked patients to self-identify up to 12 races and ethnicities. We compared these data with data from EMRs. We then estimated the number of COVID-19 hospitalizations by projecting racial misclassifications onto publicly available data. We determined significant differences via simulation-constructed medians and 95% CIs. RESULTS: EMR-based and self-identified race and ethnicity were the same in 86.5% of the sample. Native Hawaiians (79.2%) were significantly less likely than non-Native Hawaiians (89.4%) to be correctly classified on initial analysis; this difference was driven by Native Hawaiians being more likely than non-Native Hawaiians to be multiracial (93.4% vs 30.3%). When restricted to multiracial patients only, we found no significant difference in accuracy (P = .32). The number of COVID-19-related hospitalizations was 8.7% higher among Native Hawaiians and 3.9% higher among Pacific Islanders when we projected self-identified race and ethnicity rather than using EMR data. CONCLUSION: Using self-identified rather than hospital EMR data on race and ethnicity may uncover further disparities in COVID-19 hospitalizations.