Efficacy or delivery? An online Discrete Choice Experiment to explore preferences for COVID-19 vaccines in the UK

McPhedran, Robert; Toombs, Ben

doi:10.1016/j.econlet.2021.109747

Cited by 70 publications

(82 citation statements)

References 15 publications

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“…Among the sociodemographic variables, being females ( n = 37), [ 15 , 20 , 24 , 33 , 35 , 36 , 37 , 40 , 41 , 44 , 46 , 48 , 50 , 51 , 52 , 53 , 54 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 ] having a younger age ( n = 31) [ 32 , 35 , 36 , 37 , 41 , 46 , 49 , 53 , 54 , 56 , 60 , 63 , 65 , 66 , 67 , ...…”

Section: Resultsmentioning

confidence: 99%

“…Other notable factors associated with vaccine hesitancy included healthcare workers in non-clinical roles (compared to those in clinical roles) ( n = 7), [ 15 , 61 , 64 , 65 , 70 , 73 , 87 ] increased religiosity ( n = 5), [ 31 , 37 , 40 , 56 , 57 ] residing in rural areas ( n = 5), [ 46 , 65 , 68 , 86 , 100 ] reduced trust in government and pharmaceutical industry ( n = 7) [ 20 , 37 , 41 , 56 , 79 , 92 , 102 ] and increased passage of time in a pandemic ( n = 5) [ 34 , 68 , 71 , 75 , 94 ].…”

Section: Resultsmentioning

confidence: 99%

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COVID-19 Vaccine Hesitancy—A Scoping Review of Literature in High-Income Countries

et al. 2021

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Vaccine hesitancy forms a critical barrier to the uptake of COVID-19 vaccine in high-income countries or regions. This review aims to summarize rates of COVID-19 hesitancy and its determinants in high-income countries or regions. A scoping review was conducted in Medline®, Embase®, CINAHL®, and Scopus® and was reported in accordance with the PRISMA-SCr checklist. The search was current as of March 2021. Studies which evaluated COVID-19 vaccine hesitancy and its determinants in high-income countries (US$12,536 or more GNI per capita in 2019) were included. Studies conducted in low, lower-middle, and upper-middle income countries or regions were excluded. Factors associated with vaccine hesitancy were grouped into four themes (vaccine specific, individual, group, or contextual related factors). Of 2237 articles retrieved, 97 articles were included in this review. Most studies were conducted in U.S. (n = 39) and Italy (n = 9). The rates of vaccine hesitancy across high-income countries or regions ranged from 7–77.9%. 46 studies (47.4%) had rates of 30% and more. Younger age, females, not being of white ethnicity and lower education were common contextual factors associated with increased vaccine hesitancy. Lack of recent history of influenza vaccination, lower self-perceived risk of contracting COVID-19, lesser fear of COVID-19, believing that COVID-19 is not severe and not having chronic medical conditions were most frequently studied individual/group factors associated with increased vaccine hesitancy. Common vaccine-specific factors associated with increased vaccine hesitancy included beliefs that vaccine are not safe/effective and increased concerns about rapid development of COVID-19 vaccines. Given the heterogeneity in vaccine hesitancy definitions used across studies, there is a need for standardization in its assessment. This review has summarized COVID-19 vaccine hesitancy determinants that national policymakers can use when formulating health policies related to COVID-19 vaccination.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

COVID-19 Vaccine Hesitancy—A Scoping Review of Literature in High-Income Countries

et al. 2021

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“…This study also shows that concerns about rushed vaccine development lower the willingness to get vaccinated. McPhedran and Toombs (2021) [ 19 ] analyzed the determinants of COVID-19 vaccination in the UK and showed the importance of vaccine efficacy in determining the selection of COVID-19 vaccines. This finding is consistent with the findings of Harapan et al, (2020) [ 20 ], who studied the COVID-19 vaccination in Indonesia.…”

Section: Literature Reviewmentioning

confidence: 99%

Young Adults’ Intentions and Rationales for COVID-19 Vaccination Participation: Evidence from a Student Survey in Ho Chi Minh City, Vietnam

Khuc

Nguyen

et al. 2021

Vaccines

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The COVID-19 pandemic, a source of fear and anxiety worldwide, has caused many adverse impacts. Collaborative efforts to end COVID-19 have included extensive research on vaccines. Many vaccination campaigns have been launched in many countries, including Vietnam, to create community immunization. However, citizens’ willingness to participate is a prerequisite for effective vaccination programs and other related policies. Among all demographic groups, participation rates among young adults are of interest because they are an important workforce and are a source of high infection risk in the community. In March 2021, a pool of approximately 6000 participants in Ho Chi Minh City were randomly polled using an email-based online survey. The exploratory results of 398 valid observations show that students’ perceptions of the dangers of COVID-19 and the importance of vaccination were both relatively high (4.62/5 and 4.74/5, respectively). Furthermore, 83.41 percent of students polled (n = 332) chose vaccination, while 16.59 percent chose hesitation (n = 64) and not to be vaccinated (n = 2). More importantly, our estimated results of the Bayesian regression model (BRM) show that the perceived importance of the vaccine, concerns about the vaccine’s side effects, and a lack of access to information are the top three reasons for their reluctance and/or refusal to get vaccinated. These findings are a valuable resource for politicians, researchers, and those interested in COVID-19 vaccinations to devise and execute campaigns to effectively combat this terrifying pandemic.

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“…In this study, a vaccine selection decision-making model (VSDMM) was developed. Six criteria were identified to support vaccine selection: (1) vaccine availability which depends on the accessibility to the vaccine and its manufacturing location; (2) vaccine formula, which includes recombinant, subunit, inactivated, viral vector, DNA, and RNA; (3) vaccine efficacy [ 23 ], which can lead to an increase in the value of the vaccine; (4) vaccine-related side effects, which may be major or minor and their prevalence (In this regard, mild and infrequent side effects will lead to a higher value for the vaccine); (5) cost savings, which include vaccine price, transportation costs, and storage costs, and (6) host-related factors, which include age, immune status, body mass index, and comorbidities, including heart diseases, diabetes, obesity, hypertension, and immune disorders. In this regard, a vaccine that is suitable for all ages and for patients with different comorbidities will have a higher value.…”

Section: Introductionmentioning

confidence: 99%

A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Abdelwahab

Issa

2021

Vaccines

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Selecting a vaccine for fighting a pandemic is one of the serious issues in healthcare. Novel decision models for vaccine selection need to be developed. In this study, a novel vaccine selection decision-making model (VSDMM) was proposed and developed, based on the analytic hierarchy process (AHP) technique, which assesses many alternatives (vaccines) using multi-criteria to support decision making. To feed data to the VSDMM, six coronavirus disease-19 (COVID-19) vaccines were selected in a case study to highlight the applicability of the proposed model. Each vaccine was compared to the others with respect to six criteria and all criteria were compared to calculate the relative weights. The proposed criteria include (1) vaccine availability; (2) vaccine formula; (3) vaccine efficacy; (4) vaccine-related side effects; (5) cost savings, and (6) host-related factors. Using the selected criteria, experts responded to questions and currently available COVID-19 vaccines were ranked according to their weight in the model. A sensitivity analysis was introduced to assess the model robustness and the impacts of changing criteria weights on the results. The VSDMM is flexible in terms of its ability to accept more vaccine alternatives and/or more criteria. It could also be applied to other current or future pandemics/epidemics in the world. In conclusion, this is the first report to propose a VSDMM for selecting the most suitable vaccines in pandemic/epidemic situations or any other situations in which vaccine selection and usage may be deemed necessary.

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Efficacy or delivery? An online Discrete Choice Experiment to explore preferences for COVID-19 vaccines in the UK

Cited by 70 publications

References 15 publications

COVID-19 Vaccine Hesitancy—A Scoping Review of Literature in High-Income Countries

COVID-19 Vaccine Hesitancy—A Scoping Review of Literature in High-Income Countries

Young Adults’ Intentions and Rationales for COVID-19 Vaccination Participation: Evidence from a Student Survey in Ho Chi Minh City, Vietnam

A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

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