Trust Dynamics of Community Health Workers in Frontier Food Banks and Pantries: a Qualitative Study.

BACKGROUND: Medical mistrust has had devastating consequences during the COVID-19 pandemic, particularly in rural communities. Community Health Workers (CHWs) have been shown to build trust, but there is little research on trust-building by CHWs in rural communities. OBJECTIVE: This study aims to understand the strategies that CHWs use to build trust with participants of health screenings in frontier Idaho. DESIGN: This is a qualitative study based on in-person, semi-structured interviews. PARTICIPANTS: We interviewed CHWs (N=6) and coordinators of food distribution sites (FDSs; e.g., food banks and pantries) where CHWs hosted a health screening (N=15). APPROACH: Interviews were conducted with CHWs and FDS coordinators during FDS-based health screenings. Interview guides were initially designed to assess facilitators and barriers to health screenings. Trust and mistrust emerged as dominant themes that determined nearly every aspect of the FDS-CHW collaboration, and thus became the focus of interviews. KEY RESULTS: CHWs encountered high levels of interpersonal trust, but low institutional and generalized trust, among the coordinators and clients of rural FDSs. When working to reach FDS clients, CHWs anticipated confronting mistrust due to their association with the healthcare system and government, especially if CHWs were perceived as "outsiders." Hosting health screenings at FDSs, which were trusted community organizations, was important for CHWs to begin building trust with FDS clients. CHWs also volunteered at FDS locations to build interpersonal trust before hosting health screenings. Interviewees agreed that trust building was a time- and resource-intensive process. CONCLUSIONS: CHWs build interpersonal trust with high-risk rural residents, and should be integral parts of trust building initiatives in rural areas. FDSs are vital partners in reaching low-trust populations, and may provide an especially promising environment to reach some rural community members. It is unclear whether trust in individual CHWs also extends to the broader healthcare system.

Errors in Converting Principles to Protocols: Where the Bioethics of U.S. Covid-19 Vaccine Allocation Went Wrong.

For much of 2021, allocating the scarce supply of Covid-19 vaccines was the world's most pressing bioethical challenge, and similar challenges may recur for novel therapies and future vaccines. In the United States, the Centers for Disease Control and Prevention's Advisory Committee on Immunization Practices (ACIP) identified three fundamental ethical principles to guide the process: maximize benefits, promote justice, and mitigate health inequities. We argue that critical components of the recommended protocol were internally inconsistent with these principles. Specifically, the ACIP violated its principles by recommending overly broad health care worker priority in phase 1a, using being at least seventy-five years of age as the only criterion to identify individuals at high risk of death from Covid-19 during phase 1b, failing to recommend place-based vaccine distribution, and implicitly endorsing first-come, first-served allocation. More rigorous empirical work and the development of a complete ethical framework that recognizes trade-offs between principles may have prevented these mistakes and saved lives.

Frontline Physician Perspectives on Their Experiences Working During the First Wave of the COVID-19 Pandemic.

BACKGROUND: During the first wave of the COVID-19 pandemic physicians worked on the front lines, immersed in uncertainty. Research into perspectives of frontline physicians has lagged behind clinical innovation throughout the pandemic. OBJECTIVE: To inform ongoing and future efforts in the COVID-19 pandemic, we conducted a qualitative exploration of physician perspectives of the effects of policies and procedures as well as lessons learned while caring for patients during the height of the first wave in the spring of 2020. DESIGN: A confidential survey was emailed to a convenience sample. Survey questions included demographic data, participant role in the pandemic, and geographic location. Eleven open-ended questions explored their perspectives and advice they would give going forward. Broad areas covered included COVID-19-specific education, discharge planning, unintended consequences for patient care, mental health conditions to anticipate, and personal/institutional factors influencing workforce well-being amid the crisis. PARTICIPANTS: We received fifty-five surveys from May through July 2020. Demographic data demonstrated sampling of frontline physicians working in various epicenters in the USA, and diversity in gender, race/ethnicity, and clinical specialty. APPROACH: Inductive thematic analysis. KEY RESULTS: Four themes emerged through data analysis: (1) Leadership can make or break morale; (2) Leadership should engage frontline workers throughout decision-making processes; (3) Novelty of COVID-19 led to unintended consequences in care delivery; and (4) Mental health sequelae will be profound and pervasive. CONCLUSIONS: Our participants demonstrated the benefit of engaging frontline physicians as important stakeholders in policy generation, evaluation, and revision; they highlighted challenges, successes, unintended consequences, and lessons learned from various epicenters in the first wave of the COVID-19 pandemic. There is much to be learned from the early COVID-19 pandemic crisis; our participants' insights elucidate opportunities to examine institutional performance, effect policy change, and improve crisis management in order to better prepare for this and future pandemics.

Association of Zip Code Vaccination Rate With COVID-19 Mortality in Chicago, Illinois.

Importance: There has been large geographic inequity in vaccination coverage across Chicago, Illinois, with higher vaccination rates in zip codes with residents who predominantly have high incomes and are White. Objective: To determine the association between inequitable zip code-level vaccination coverage and COVID-19 mortality in Chicago. Design, Setting, and Participants: This retrospective cohort study used Chicago Department of Public Health vaccination and mortality data and Cook County Medical Examiner mortality data from March 1, 2020, through November 6, 2021, to assess the association of COVID-19 mortality with zip code-level vaccination rates. Data were analyzed from June 1, 2021, to April 13, 2022. Exposures: Zip code-level first-dose vaccination rates before the Alpha and Delta waves of COVID-19. Main Outcomes and Measures: The primary outcome was deaths from COVID-19 during the Alpha and Delta waves. The association of a marginal increase in zip code-level vaccination rate with weekly mortality rates was estimated with a mixed-effects Poisson regression model, and the total number of preventable deaths in the least vaccinated quartile of zip codes was estimated with a linear difference-in-difference design. Results: The study population was 2 686 355 Chicago residents in 52 zip codes (median [IQR] age 34 [32-38] years; 1 378 658 [51%] women; 773 938 Hispanic residents [29%]; 783 916 non-Hispanic Black residents [29%]; 894 555 non-Hispanic White residents [33%]). Among residents in the least vaccinated quartile, 80% were non-Hispanic Black, compared with 8% of residents identifying as non-Hispanic Black in the most vaccinated quartile (P < .001). After controlling for age distribution and recovery from COVID-19, a 10-percentage point increase in zip code-level vaccination 6 weeks before the peak of the Alpha wave was associated with a 39% lower relative risk of death from COVID-19 (incidence rate ratio [IRR], 0.61 [95% CI, 0.52-0.72]). A 10-percentage point increase in zip code vaccination rate 6 weeks before the peak of the Delta wave was associated with a 24% lower relative risk of death (IRR, 0.76 [95% CI, 0.66-0.87]). The difference-in-difference estimate was that 119 Alpha wave deaths (72% [95% CI, 63%-81%]) and 108 Delta wave deaths (75% [95% CI, 66%-84%]) might have been prevented in the least vaccinated quartile of zip codes if it had had the vaccination coverage of the most vaccinated quartile. Conclusions and Relevance: These findings suggest that low zip code-level vaccination rates in Chicago were associated with more deaths during the Alpha and Delta waves of COVID-19 and that inequitable vaccination coverage exacerbated existing racial and ethnic disparities in COVID-19 deaths.

Fair Allocation of Scarce Therapies for Coronavirus Disease 2019 (COVID-19).

The US Food and Drug Administration (FDA) has issued emergency use authorizations (EUAs) for monoclonal antibodies (mAbs) for nonhospitalized patients with mild or moderate coronavirus disease 2019 (COVID-19) disease and for individuals exposed to COVID-19 as postexposure prophylaxis. EUAs for oral antiviral drugs have also been issued. Due to increased demand because of the Delta variant, the federal government resumed control over the supply and asked states to ration doses. As future variants (eg, the Omicron variant) emerge, further rationing may be required. We identify relevant ethical principles (ie, benefiting people and preventing harm, equal concern, and mitigating health inequities) and priority groups for access to therapies based on an integrated approach to population health and medical factors (eg, urgently scarce healthcare workers, persons in disadvantaged communities hard hit by COVID-19). Using priority categories to allocate scarce therapies effectively operationalizes important ethical values. This strategy is preferable to the current approach of categorical exclusion or inclusion rules based on vaccination, immunocompromise status, or older age, or the ad hoc consideration of clinical risk factors.

Negative Patient Descriptors: Documenting Racial Bias In The Electronic Health Record.

Little is known about how racism and bias may be communicated in the medical record. This study used machine learning to analyze electronic health records (EHRs) from an urban academic medical center and to investigate whether providers' use of negative patient descriptors varied by patient race or ethnicity. We analyzed a sample of 40,113 history and physical notes (January 2019-October 2020) from 18,459 patients for sentences containing a negative descriptor (for example, resistant or noncompliant) of the patient or the patient's behavior. We used mixed effects logistic regression to determine the odds of finding at least one negative descriptor as a function of the patient's race or ethnicity, controlling for sociodemographic and health characteristics. Compared with White patients, Black patients had 2.54 times the odds of having at least one negative descriptor in the history and physical notes. Our findings raise concerns about stigmatizing language in the EHR and its potential to exacerbate racial and ethnic health care disparities.

Association Of Neighborhood Disadvantage With Racial Disparities In COVID-19 Positivity In Chicago.

Racial health inequities exemplified during the COVID-19 crisis have awakened a sense of urgency among public health and policy experts to examine contributing factors. One potential factor includes the socioeconomic disadvantage of racially segregated neighborhoods. This study quantified associations of neighborhood socioeconomic disadvantage in Chicago, Illinois, as measured by the Area Deprivation Index (ADI), with racial disparities in COVID-19 positivity. A retrospective cohort included 16,684 patients tested for COVID-19 at an academic medical center and five community-based testing sites during Chicago's "first wave" (March 12, 2020-June 25, 2020). Patients living in Black majority neighborhoods had two times higher odds of COVID-19 positivity relative to those in White majority neighborhoods. The ADI accounted for 20 percent of the racial disparity; however, COVID-19 positivity remained substantially higher at every decile of the ADI in Black relative to White neighborhoods. The remaining disparities (80 percent) suggest a large, cumulative effect of other structural disadvantages in urban communities of color.

COVID-19 Among African Americans: An Action Plan for Mitigating Disparities.

As the COVID-19 pandemic has unfolded across the United States, troubling disparities in mortality have emerged between different racial groups, particularly African Americans and Whites. Media reports, a growing body of COVID-19-related literature, and long-standing knowledge of structural racism and its myriad effects on the African American community provide important lenses for understanding and addressing these disparities.However, troubling gaps in knowledge remain, as does a need to act. Using the best available evidence, we present risk- and place-based recommendations for how to effectively address these disparities in the areas of data collection, COVID-19 exposure and testing, health systems collaboration, human capital repurposing, and scarce resource allocation.Our recommendations are supported by an analysis of relevant bioethical principles and public health practices. Additionally, we provide information on the efforts of Chicago, Illinois' mayoral Racial Equity Rapid Response Team to reduce these disparities in a major urban US setting.