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      COVID-19 Vaccine Acceptance and Access Among Black and Latinx Communities

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          Key Points

          Question

          What factors are associated with facilitating and obstructing COVID-19 vaccine acceptance and access among Black and Latinx communities?

          Findings

          This qualitative study of 72 participants who identified as Black and/or Latinx identified 3 themes to understanding factors associated with facilitating or obstructing COVID-19 vaccination: pervasive mistreatment of Black and Latinx communities and associated distrust; informing trust via trusted messengers and messages, choice, social support, and diversity; and addressing structural barriers to vaccination access.

          Meaning

          These findings suggest that community-informed insights may inform health care strategies to maximize vaccine acceptance and access in communities hardest hit by the COVID-19 pandemic.

          Abstract

          This qualitative study examines factors associated with facilitating and obstructing COVID-19 vaccine access and acceptance among Black and Latinx communities.

          Abstract

          Importance

          Black and Latinx communities have faced disproportionate harm from the COVID-19 pandemic. Increasing COVID-19 vaccine acceptance and access has the potential to mitigate mortality and morbidity from COVID-19 for all communities, including those most impacted by the pandemic.

          Objective

          To investigate and understand factors associated with facilitating and obstructing COVID-19 vaccine access and acceptance among Black and Latinx communities.

          Design, Setting, and Participants

          This community-partnered qualitative study conducted semistructured, in-depth focus groups with Black and Latinx participants from March 17 to March 29, 2021, using a secure video conferencing platform. Participants were recruited through emails from local community-based organizations, federally qualified health centers, social service agencies, the New Haven, Connecticut, Health Department, and in-person distribution of study information from community health workers. A total of 8 focus groups were conducted, including 4 in Spanish and 4 in English, with 72 participants from a diverse range of community roles, including teachers, custodial service workers, and health care employees, in New Haven, Connecticut. Data were analyzed from March 17 to July 30, 2021.

          Main Outcomes and Measures

          Interviews were audio-recorded, transcribed, translated, and analyzed using an inductive content analysis approach. Themes and subthemes were identified on the acceptability and accessibility of the COVID-19 vaccine among participants who identified as Black and/or Latinx.

          Results

          Among 72 participants, 36 (50%) identified as Black, 28 (39%) as Latinx, and 8 (11%) as Black and Latinx and 56 (78%) identified as women and 16 (22%) identified as men. Participants described 3 major themes that may represent facilitators and barriers to COVID-19 vaccinations: pervasive mistreatment of Black and Latinx communities and associated distrust; informing trust via trusted messengers and messages, choice, social support, and diversity; and addressing structural barriers to vaccination access.

          Conclusions and Relevance

          The findings of this qualitative study may impact what health care systems, public health officials, policy makers, health care practitioners, and community leaders can do to facilitate equitable uptake of the COVID-19 vaccine. Community-informed insights are imperative to facilitating COVID-19 vaccine access and acceptance among communities hardest hit by the pandemic. Preventing the further widening of inequities and addressing structural barriers to vaccination access are vital to protecting all communities, especially Black and Latinx individuals who have experienced disproportionate death and loss from COVID-19.

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          Most cited references35

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          Three approaches to qualitative content analysis.

          Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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            The use of triangulation in qualitative research.

            Triangulation refers to the use of multiple methods or data sources in qualitative research to develop a comprehensive understanding of phenomena (Patton, 1999). Triangulation also has been viewed as a qualitative research strategy to test validity through the convergence of information from different sources. Denzin (1978) and Patton (1999) identified four types of triangulation: (a) method triangulation, (b) investigator triangulation, (c) theory triangulation, and (d) data source triangulation. The current article will present the four types of triangulation followed by a discussion of the use of focus groups (FGs) and in-depth individual (IDI) interviews as an example of data source triangulation in qualitative inquiry.
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              Implicit bias in healthcare professionals: a systematic review

              Background Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person on the basis of irrelevant characteristics such as race or gender. This review examines the evidence that healthcare professionals display implicit biases towards patients. Methods PubMed, PsychINFO, PsychARTICLE and CINAHL were searched for peer-reviewed articles published between 1st March 2003 and 31st March 2013. Two reviewers assessed the eligibility of the identified papers based on precise content and quality criteria. The references of eligible papers were examined to identify further eligible studies. Results Forty two articles were identified as eligible. Seventeen used an implicit measure (Implicit Association Test in fifteen and subliminal priming in two), to test the biases of healthcare professionals. Twenty five articles employed a between-subjects design, using vignettes to examine the influence of patient characteristics on healthcare professionals’ attitudes, diagnoses, and treatment decisions. The second method was included although it does not isolate implicit attitudes because it is recognised by psychologists who specialise in implicit cognition as a way of detecting the possible presence of implicit bias. Twenty seven studies examined racial/ethnic biases; ten other biases were investigated, including gender, age and weight. Thirty five articles found evidence of implicit bias in healthcare professionals; all the studies that investigated correlations found a significant positive relationship between level of implicit bias and lower quality of care. Discussion The evidence indicates that healthcare professionals exhibit the same levels of implicit bias as the wider population. The interactions between multiple patient characteristics and between healthcare professional and patient characteristics reveal the complexity of the phenomenon of implicit bias and its influence on clinician-patient interaction. The most convincing studies from our review are those that combine the IAT and a method measuring the quality of treatment in the actual world. Correlational evidence indicates that biases are likely to influence diagnosis and treatment decisions and levels of care in some circumstances and need to be further investigated. Our review also indicates that there may sometimes be a gap between the norm of impartiality and the extent to which it is embraced by healthcare professionals for some of the tested characteristics. Conclusions Our findings highlight the need for the healthcare profession to address the role of implicit biases in disparities in healthcare. More research in actual care settings and a greater homogeneity in methods employed to test implicit biases in healthcare is needed.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                13 October 2021
                October 2021
                13 October 2021
                : 4
                : 10
                : e2128575
                Affiliations
                [1 ]Yale National Clinician Scholars Program, Yale University School of Medicine, New Haven, Connecticut
                [2 ]Community Alliance for Research and Engagement, New Haven, Connecticut
                [3 ]Veterans Administration Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation, and Policy, West Haven, Connecticut
                [4 ]Yale School of Public Health, New Haven, Connecticut
                [5 ]Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
                [6 ]Department of Public Health, College of Health and Human ServiceSouthern Connecticut State University, New Haven
                [7 ]Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
                [8 ]Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
                [9 ]Center for Outcomes Research and Evaluation, Yale University School of Medicine, New Haven Connecticut
                Author notes
                Article Information
                Accepted for Publication: August 4, 2021.
                Published: October 13, 2021. doi:10.1001/jamanetworkopen.2021.28575
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Balasuriya L et al. JAMA Network Open.
                Corresponding Author: Lilanthi Balasuriya, MD, Yale National Clinician Scholars Program, Yale University School of Medicine, 333 Cedar St, SHM IE-66, PO Box 208088, New Haven, CT 06510 ( lilanthi.balasuriya@ 123456yale.edu ).
                Author Contributions: Dr Balasuriya and Mrs Santilli had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Balasuriya, Santilli, O’Connor Duffany.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Balasuriya, Morone, Ainooson, Mendiola-Iparraguirre.
                Critical revision of the manuscript for important intellectual content: Santilli, Morone, Ainooson, Roy, Njoku, Mendiola-Iparraguirre, O’Connor Duffany, Macklin, Higginbottom, Fernández-Ayala, Vicente, Venkatesh.
                Statistical analysis: Balasuriya, Ainooson.
                Obtained funding: Balasuriya, Santilli, O’Connor Duffany.
                Administrative, technical, or material support: Balasuriya, Santilli, Morone, Ainooson, Roy, Njoku, Mendiola-Iparraguirre, O’Connor Duffany, Higginbottom, Fernández-Ayala, Vicente, Venkatesh.
                Supervision: Balasuriya, Santilli, Roy, O’Connor Duffany, Venkatesh.
                Conflict of Interest Disclosures: Dr Santilli reported receiving grants from the Centers for Disease Control and Prevention (CDC) during the conduct of the study. Dr O’Connor Duffany reported receiving grants from the CDC during the conduct of the study and outside the submitted work. Dr Vicente reported grants from the CDC during the conduct of the study. No other disclosures were reported.
                Funding/Support: This work was supported by the Community Alliance for Research and Engagement (CARE), a grant from the Racial and Ethnic Approaches to Community Health (REACH) at the Centers for Disease Control and Prevention (CDC), and the Yale National Clinician Scholars Program.
                Role of the Funder/Sponsor: The funders assisted in the design and conduct of the study; CARE and the Yale National Clinician Scholars Program were involved in the collection, management, analysis, and interpretation of the data; and the funders had no role in the preparation, review, or approval of the manuscript or the decision to submit the manuscript for publication.
                Additional Contributions: Ann Greene, BS (Yale National Clinician Scholars Program), assisted with mentorship regarding community partnered research and perspectives to consider regarding the history of New Haven, Connecticut, related to access to medical care. Ermonda Markaj, MPH (New Haven Health Department), provided perspectives on access to care in New Haven and reviewed themes in the context of addressing barriers in real-time in New Haven. Thomas Ficklin, MDiv (CARE community consultant), assisted in sharing information about the study and provided perspectives on access to care in New Haven. Maurice Williams, BA, MPA (Yale School of Medicine), assisted in sharing information about the study and provided perspectives on access to care in New Haven. Savanna Carson, PhD (UCLA Clinical and Translational Science Institute, Community Engagement & Research Program), and Arleen Brown MD, PhD (Community Engagement and Research Program of the UCLA Clinical and Translational Research Institute), shared their interview guide and institutional review board documentation for similar vaccine acceptance and access work happening in Los Angeles, California. No compensation was given for these roles, with the exception of Mr. Ficklin, who is compensated for his community consultation work.
                Article
                zoi210833
                10.1001/jamanetworkopen.2021.28575
                8515205
                34643719
                a023b81c-aed5-421d-8c9a-3d73980054ea
                Copyright 2021 Balasuriya L et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 4 June 2021
                : 4 August 2021
                Categories
                Research
                Original Investigation
                Online Only
                Public Health

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