2 research outputs found

    “Community members have more impact on their neighbors than celebrities”: Leveraging community partnerships to build COVID-19 vaccine confidence

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    Vaccines are a strong public health tool to protect against severe disease, hospitalization, and death from COVID-19. Still, inequities in COVID-19 vaccination rates and health outcomes continue to exist among Black and Latino populations. Boston Medical Center (BMC) has played a significant role in vaccinating medically underserved populations, and organized a series of community-engaged conversations to better understand community concerns regarding the COVID-19 vaccine. We accessed and analyzed nine publicly available recordings of the community-engaged conversations which were held between Mar 2021-Sep 2021 (n=8-122 attendees). We employed a Consolidated Framework for Implementation Research-driven codebook to code our data and utilized a modified version of qualitative rapid analysis methods. Five main themes emerged: (1) Structural factors are important barriers to COVID-19 vaccination; (2) Mistrust exists due to the negative impact of systemic oppression and perceived motivation of the government; (3) There is a desire to learn more about biological and clinical characteristics of the COVID-19 vaccine as well as the practical implications of being vaccinated; (4) Community engagement is important for delivering COVID-19 information and education and; (5) Community leaders believe that the COVID-19 vaccine is a solution to address the pandemic. In highlighting the themes which resulted from these community-engaged conversations, this study illustrates a need for community-engaged COVID-19 vaccine messaging which reflects the nuances of the COVID-19 vaccine and pandemic without oversimplifying information and underscores important considerations for public health and healthcare leadership in the development of initiatives which work to advance health equity

    At the intersection of trust and mistrust: A qualitative analysis of motivators and barriers to research participation at a safety‐net hospital

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    Abstract Introduction The underrepresentation of Black, Indigenous, and People of Color (BIPOC) individuals in healthcare research limits generalizability and contributes to healthcare inequities. Existing barriers and attitudes toward research participation must be addressed to increase the representation of safety net and other underserved populations. Methods We conducted semi‐structured qualitative interviews with patients at an urban safety net hospital, focusing on facilitators, barriers, motivators, and preferences for research participation. We conducted direct content analysis guided by an implementation framework and used rapid analysis methods to generate final themes. Results We completed 38 interviews and identified six major themes related to preferences for engagement in research participation: (1) wide variation in research recruitment preferences; (2) logistical complexity negatively impacts willingness to participate; (3) risk contributes to hesitation toward research participation; (4) personal/community benefit, interest in study topic, and compensation serve as motivators for research participation; (5) continued participation despite reported shortcomings of informed consent process; and (6) mistrust could be overcome by relationship or credibility of information sources. Conclusion Despite barriers to participation in research studies among safety‐net populations, there are also facilitators that can be implemented to increase knowledge and comprehension, ease of participation, and willingness to join research studies. Study teams should vary recruitment and participation methods to ensure equal access to research opportunities. Patient/Public Contribution Our analysis methods and study progress were presented to individuals within the Boston Medical Center healthcare system. Through this process community engagement specialists, clinical experts, research directors, and others with significant experience working with safety‐net populations supported data interpretation and provided recommendations for action following the dissemination of data
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