Gearing Up for a Vaccine Requirement: A Mixed Methods Study of COVID-19 Vaccine Confidence Among Workers at an Academic Medical Center

Mahoney, Megan; Winget, Marcy; Brown‐Johnson, Cati; Borba, Lindsay de; Veruttipong, Darlene; Luu, Jacklyn Ha; Jones, David; Bohman, Bryan; Vilendrer, Stacie

doi:10.1097/jhm-d-21-00226

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…These studies suggest that perceived COVID-19 risk, conservative-leaning political views, prior vaccine usage and attitudes, and vaccine safety concerns are strong predictors of vaccine hesitancy [7][8][9][10][11] . A substantial body of qualitative research has focused on using qualitative data from in-depth interviews, social media conversations and content, or open text response in surveys to understand and capture the points of view of general populations [15][16][17][18] and subpopulations in the US [19][20][21] (e.g., Black and Latino Americans) who remained unvaccinated without predetermining those points of view through prior selection of survey topics. These studies suggest that concerns about potential vaccine side-effects, mistrust of the healthcare system and pharmaceutical companies, financial issues, and myths and misconceptions about COVID-19 affect the intent to get vaccinated.…”

Section: Discovery Of Interconnected Causal Drivers Of Covid-19 Vacci...mentioning

confidence: 99%

Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network

Fung

Sgaier

Huang

2023

Sci Rep

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Holistic interventions to overcome COVID-19 vaccine hesitancy require a system-level understanding of the interconnected causes and mechanisms that give rise to it. However, conventional correlative analyses do not easily provide such nuanced insights. We used an unsupervised, hypothesis-free causal discovery algorithm to learn the interconnected causal pathways to vaccine intention as a causal Bayesian network (BN), using data from a COVID-19 vaccine hesitancy survey in the US in early 2021. We identified social responsibility, vaccine safety and anticipated regret as prime candidates for interventions and revealed a complex network of variables that mediate their influences. Social responsibility’s causal effect greatly exceeded that of other variables. The BN revealed that the causal impact of political affiliations was weak compared with more direct causal factors. This approach provides clearer targets for intervention than regression, suggesting it can be an effective way to explore multiple causal pathways of complex behavioural problems to inform interventions.

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Section: Discovery Of Interconnected Causal Drivers Of Covid-19 Vacci...mentioning

confidence: 99%

Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network

Fung

Sgaier

Huang

2023

Sci Rep

View full text Add to dashboard Cite

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Promising Strategies to Support COVID-19 Vaccination of Healthcare Personnel: Qualitative Insights from the VHA National Implementation

et al. 2022

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Background In August 2021, up to 30% of Americans were uncertain about taking the COVID-19 vaccine, including some healthcare personnel (HCP). Objective Our objective was to identify barriers and facilitators of the Veterans Health Administration (VHA) HCP vaccination program. Design We conducted key informant interviews with employee occupational health (EOH) providers, using snowball recruitment. Participants Participants included 43 VHA EOH providers representing 29 of VHA’s regionally diverse healthcare systems. Approach Thematic analysis elucidated 5 key themes and specific strategies recommended by EOH. Key Results Implementation themes reflected logistics of distribution (supply), addressing any vaccine concerns or hesitancy (demand), and learning health system strategies/approaches for shared learnings. Specifically, themes included the following: (1) use interdisciplinary task forces to leverage diverse skillsets for vaccine implementation; (2) invest in processes and align resources with priorities, including creating detailed processes, addressing time trade-offs for personnel involved in vaccine clinics by suspending everything non-essential, designating process/authority to shift personnel where needed, and proactively involving leaders to support resource allocation/alignment; (3) expect and accommodate vaccine buy-in occurring over time: prepare for some HCP’s slow buy-in, align buy-in facilitation with identities and motivation, and encourage word-of-mouth and hyper-local testimonials; (4) overcome misinformation with trustworthy communication: tailor communication to individuals and address COVID vaccines “in every encounter,” leverage proactive institutional messaging to reinforce information, and invite bi-directional conversations about any vaccine concerns. A final overarching theme focused on learning health system needs and structures: (5) use existing and newly developed communication channels to foster shared learning across teams and sites. Conclusions Expecting deliberation allows systems to prepare for complex distribution logistics (supply) and make room for conversations that are trustworthy, bi-directional, and identity aligned (demand). Ideally, organizations provide time for conversations that address individual concerns, foster bi-directional shared decision-making, respect HCP beliefs and identities, and emphasize shared identities as healthcare providers.

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Embracing context: Lessons from designing a dialogue-based intervention to address vaccine hesitancy

Nguyen

Boey

Riet

et al. 2023

Front. Public Health

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Dialogue with people who are vaccine hesitant has been recommended as a method to increase vaccination uptake. The process of cultivating dialogue is shaped by the context in which it occurs, yet the development of interventions addressing vaccine hesitancy with dialogue often overlooks the role of context and favors relatively fixed solutions. This reflexive paper shares three key lessons related to context for dialogue-based interventions. These lessons emerged during a participatory research project to develop a pilot intervention to create open dialogue among healthcare workers in Belgium about COVID-19 vaccination concerns. Through a mixed methods study consisting of in-depth interviews, focus group discussions, and surveys, we engaged healthcare workers in the design, testing, and evaluation of a digital platform featuring text-based and video-based (face-to-face) interactions. The lessons are: (1) what dialogue means, entails, and requires can vary for a population and context, (2) inherent tension exists between helping participants voice (and overcome) their concerns and exposing them to others' ideas that may exacerbate those concerns, and (3) interactional exchanges (e.g., with peers or experts) that matter to participants may shape the dialogue in terms of its content and form. We suggest that having a discovery-orientation—meaning to work not only inductively and iteratively but also reflexively—is a necessary part of the development of dialogue-based interventions. Our case also sheds light on the influences between: dialogue topic/content, socio-political landscape, population, intervention aim, dialogue form, ethics, researcher position, and types of interactional exchanges.

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Gearing Up for a Vaccine Requirement: A Mixed Methods Study of COVID-19 Vaccine Confidence Among Workers at an Academic Medical Center

Cited by 3 publications

References 36 publications

Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network

Discovery of interconnected causal drivers of COVID-19 vaccination intentions in the US using a causal Bayesian network

Promising Strategies to Support COVID-19 Vaccination of Healthcare Personnel: Qualitative Insights from the VHA National Implementation

Embracing context: Lessons from designing a dialogue-based intervention to address vaccine hesitancy

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