Determinants of COVID-19 vaccine Hesitancy: 2020 California Health Interview Survey

Moon, Ingyu; Han, Junghee; Kim, Keon

doi:10.1016/j.pmedr.2023.102200

Cited by 7 publications

(8 citation statements)

References 39 publications

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“…The ways in which individuals use the internet are diverse, and so are the effects of information obtained through this medium when it comes to health opinions and behaviors. For example, Moon et al [68] found that while a higher frequency of social media use increased the odds of hesitancy, the higher frequency of internet use (for all purposes) decreased them. Allington et al [18] found that social media usage loses its effect on hesitancy when controlling for trust in government, health professionals, and scientists, and COVID-19 is perceived as a risk.…”

Section: Principal Resultsmentioning

confidence: 99%

“…Prior research indicates divergent impacts on vaccine hesitancy and acceptance between these sources, with social media use often correlated with increased vaccine hesitancy, whereas broader internet use or reliance on online news platforms tends to be associated with higher vaccine acceptance. [20,27,68]. The conflation of social media with other online media in our respondents’ reports precludes a nuanced analysis of these distinct influences within our dataset.…”

Section: Limitsmentioning

confidence: 99%

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Online media use and COVID-19 vaccination in real-world personal networks

Oană,

Hâncean,

Perc

et al. 2024

Preprint

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Background: Most studies assessing the impact of online and social media usage on COVID-19 vaccine hesitancy predominantly rely on survey data, which often fails to capture the clustering of health opinions and behaviors within real-world networks. In contrast, research employing social network analysis aims to uncover the diverse communities and discourse themes related to vaccine support and hesitancy within social media platforms. Despite these advancements, there is a gap in the literature on how a person's social circle, which combines online and offline interactions, affects vaccine acceptance. Objective: We examined how online media consumption influences vaccination decisions within real-world social networks by analyzing unique quantitative network data collected from Romania, an Eastern European Union (EU) member state. Methods: We conducted 83 face-to-face interviews with participants from a living lab in Leresti, a small rural community in Romania, employing a Personal Network Analysis (PNA) framework. This approach involved gathering data on both the respondents and individuals within their social circles (referred to as social alters). After excluding cases with missing data, our analysis proceeded with 61 complete personal networks. To examine the hierarchical structure of alters nested within ego networks, we utilized a mixed multilevel logistic regression model with random intercepts. The model aimed to predict vaccination status among alters, with the focal independent variable being the ego's preferred source of health and prevention information. This variable was categorized into three types: traditional media, online media (including social media), and a combination of both, with traditional media serving as the reference category. Results: In this study, we analyzed 61 personal networks, encompassing between 15 and 25 alters each, totaling 1280 alters with valid data across all variables of interest. Our primary findings indicate that alters within personal networks, whose respondents rely solely on online media for health information, exhibit lower vaccination rates (odds ratio [OR] 0.37, 95% CI 0.15-0.92; P=.03). Conversely, the transition from exclusive traditional media use to a combination of both traditional and online media does not significantly impact vaccination odds (OR 0.75, 95% CI 0.32-1.78; P=.52). Additionally, our analysis reveals that alters in personal networks with vaccinated egos are more likely to be vaccinated themselves (OR 3.75, 95% CI 1.79-7.85; P<.001). Conclusion: Real-world networks combine offline and online human interactions with consequences on health opinions and behaviors. As individuals' vaccination status is influenced by how their social alters use online media and vaccination behavior, further insights are needed to create tailored communication campaigns and interventions regarding vaccination in areas with low levels of digital health literacy and vaccination rates, as Romania exposes.

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Section: Principal Resultsmentioning

confidence: 99%

Section: Limitsmentioning

confidence: 99%

Online media use and COVID-19 vaccination in real-world personal networks

Oană,

Hâncean,

Perc

et al. 2024

Preprint

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“…Socioeconomic variables, such as higher levels of education and income, along with being male, married, and older age are associated with more favorable decisions toward vaccination ( Jain et al, 2021 ; Lee & Huang, 2022 ; Limbu et al, 2022 ; Malik et al, 2020 ; Richter et al, 2022 ; Sharma et al, 2023 ; Yasmin et al, 2021 ; Zintel et al, 2023 ). Conversely, belonging to certain racial or ethnic groups, experiencing poverty, experiencing poor subjective health, having limited access to health care, and feeling unsafe in one’s neighborhood have been linked to higher rates of vaccine refusal ( Moon et al, 2023 ; Mustafa et al, 2022 ; Richter et al, 2022 ). Discrepancies exist across various studies concerning the role of gender, age, and health status ( Mustafa et al, 2022 ; Wong et al, 2021 ).…”

Section: Literature Reviewmentioning

confidence: 99%

How Technology, Health Information Seeking, and Socioeconomic Factors Are Associated With Coronavirus Disease 2019 Vaccination Readiness in Estonians Over 50 Years?

Paimre,

Virkus,

Osula

2024

Health Educ Behav

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Despite the proven effectiveness of COVID-19 vaccines in preventing severe illness, many individuals, including older adults who are most susceptible to the virus, have opted against vaccination. Various factors could shape vaccination decisions, including seeking health information (HI). The internet is the primary source of HI today; however, older adults are often referred to as those missing out on digital benefits. The study explores the correlations between information and communication technology (ICT) use, online HI seeking, socioeconomic factors, and COVID-19 vaccination readiness among individuals aged 50 and above in Estonia. The survey data were gathered from 501 people aged 50 and older after the first lockdown in 2020. The outcomes revealed that vaccination readiness positively correlated with factors such as higher educational attainment, greater income, male gender, access to ICT, a readiness to employ digital technologies for health-related purposes, a greater demand for HI, and a higher frequency of seeking it online. There was some discrepancy in the preference of HI sources; for example, vaccination consenters preferred online versions of professional press publications and specific health portals. Based on the findings, it is advisable to encourage older adults to utilize the internet and new technology for health-related purposes. This practice expands the range of information sources available to them, ultimately enabling better decision-making regarding their health behaviors.

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“…The COVID-19 pandemic has had a serious impact on public health and quality of life, leading governments in many countries to recommend vaccination. Several studies have demonstrated that vaccine uptake as well as vaccination willingness or hesitancy are associated with various factors, including demographic attributes (e.g., age, sex, and marital status), socioeconomic background (e.g., educational attainment, income, and working status), health-related behaviors (e.g., regular influenza vaccination and medical checkups), and concerns about the safety and effectiveness of vaccines [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Trust, Interaction with Neighbors, and Vaccination during the COVID-19 Pandemic: A Cross-Sectional Analysis of Chinese Data

Oshio

Ping

2023

Vaccines

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The COVID-19 pandemic significantly impacted public health and quality of life, leading to government recommendations for vaccination. Using cross-sectional data from a nationwide population-based survey conducted in China (N = 6860), this study aimed to examine the associations between individual vaccine uptake and general trust in others, trust in government, and interaction with neighbors. We conducted a multilevel logistic regression analysis to examine the relevance of these factors at the individual and community levels. Among young adults, higher levels of general trust at both levels were positively associated with vaccination, with odds ratios (OR) of 1.35 (95% confidence interval [CI]: 1.07, 1.70) and 1.58 (95% CI: 1.14, 2.18), respectively. We also found a positive association between vaccination and community-level interaction with neighbors, with ORs of 1.55 (95% CI: 1.11, 2.17). In contrast, among older individuals, vaccination was positively associated only with individual-level interaction with neighbors, with an OR of 1.55 (95% CI: 1.15, 2.08). The results indicated that vaccine uptake was associated with an individual’s views of society and the social environment of the community, with substantial variations between the young and the old. Our findings emphasize the significance of public health measures to strengthen neighborhood interactions among older adults.

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Determinants of COVID-19 vaccine Hesitancy: 2020 California Health Interview Survey

Cited by 7 publications

References 39 publications

Online media use and COVID-19 vaccination in real-world personal networks

Online media use and COVID-19 vaccination in real-world personal networks

How Technology, Health Information Seeking, and Socioeconomic Factors Are Associated With Coronavirus Disease 2019 Vaccination Readiness in Estonians Over 50 Years?

Trust, Interaction with Neighbors, and Vaccination during the COVID-19 Pandemic: A Cross-Sectional Analysis of Chinese Data

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