Factors related with COVID-19 vaccination willingness among outpatients in China

Zhang, Di; Cui, Qi; Xu, Jianguo; Cai, Jian; Luo, Xiaoping; Yang, Yinguang

doi:10.1080/21645515.2021.1954441

Cited by 5 publications

(4 citation statements)

References 30 publications

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“…In Mexico, Ramonfaur et al (2021) found that a higher socioeconomic status (including higher education and middle to high income) was associated with vaccine hesitancy. In contrast, four out of thirty studies reported a higher income as an enabler to vaccine willingness [24,28,35,37]. Potential theories were discussed above, but it is vital to understand the interrelatedness of all the social determinants of health; a higher income is often also associated with higher education, higher healthcare access, less health risk, better housing conditions, good nutritional status and so on [38].…”

Section: Income Level and Costmentioning

confidence: 99%

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Contextualizing Vaccine Hesitancy: A Scoping Review of Factors Influencing COVID-19 Vaccine Uptake

Alphonsus,

Bailey,

Mojdehi

2023

URNCST Journal

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Background: The development of COVID-19 vaccines is crucial in the fight against the pandemic; however, vaccine hesitancy was a growing concern amplified by the rapid development of COVID-19 vaccines. This review aims to explore the underlying factors influencing vaccine acceptance and hesitancy, including socio-demographic characteristics and health beliefs. Methods: We conducted a scoping review to examine literature and major factors impacting people's willingness to take COVID-19 vaccines. A literature search was performed using four major literature databases: Medline®, Embase®, CINAHL®, and Scopus®. A total of 30 articles fit the predetermined criteria for this sample search. The articles were independently screened to identify the study location, sampling method, study design, and enablers and barriers to vaccination. Results: Studies were included from five different continents and the findings indicating the following six main areas had significant impact on COVID-19 vaccine acceptance: (1) vaccine safety and efficacy, (2) trust in government and political views, (3) COVID-19 risk perception, (4) cultural factors, ( 5) knowledge about COVID-19 and public health messaging, and ( 6) income level and vaccine cost. Various studies had conflicting results highlighting the influence of environmental factors and the need for unique and targeted public health interventions. Conclusion:Identifying and understanding factors that affect vaccine uptake can aid in the development of effective strategies to improve public health. Our findings suggest that additional efforts should be made by healthcare personnel and public health officials in terms of educating the public and understanding the influence of environmental and personal belief factors. Financial barriers should also be carefully considered to overcome accessibility issues in countries where healthcare is not funded by the government.

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Section: Income Level and Costmentioning

confidence: 99%

“…In China, participants were more willing to get a moderately priced vaccine compared to a lower cost vaccine. This was due to the lower cost causing participants to doubt the vaccines quality and effectiveness [37]. Alternatively, in Bangladesh and Lebanon free vaccination was an enabling factor [17,19].…”

Section: Income Level and Costmentioning

confidence: 99%

Contextualizing Vaccine Hesitancy: A Scoping Review of Factors Influencing COVID-19 Vaccine Uptake

Alphonsus,

Bailey,

Mojdehi

2023

URNCST Journal

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“…Following pacemaker implantation, patients need to attend regular follow-up clinics but reduced medical services and other strict public health measures are potential barriers that interfere with regular assessments ( 27 , 28 ); uncertainty in aftercare may contribute to increased risk for depression. Furthermore, compared to rates in the general population, COVID-19 vaccine rates in patients with major medical conditions including heart diseases are typically lower in China ( 29 – 31 ); such trends may contribute to higher infection rates or complications among the medically vulnerable that, in turn, increase depression risk.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of depression and its association with quality of life in patients after pacemaker implantation during the COVID-19 pandemic: A network analysis

et al. 2023

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BackgroundThis study was designed to investigate the prevalence and predictors of depression in patients after pacemaker implantation during the COVID-19 pandemic in addition to identifying specific depressive symptoms associated with quality of life (QOL) using network analysis (NA).MethodsThis cross-sectional, observational study was conducted in China between July 1, 2021, and May 17, 2022. Descriptive analysis was used to calculate depression prevalence. Univariate analyses were used to compare differences in demographic and clinical characteristics between depressed and non-depressed patients following pacemaker implantation. Binary logistic regression analysis was used to assess factors independently associated with depression. Network analysis “expected influence,” and flow function indexes were used to identify symptoms central to the depression network of the sample and depressive symptoms that were directly associated with QOL, respectively. Network stability was examined using a case-dropping bootstrap procedure.ResultsIn total, 206 patients implanted with a pacemaker met the study entry criteria and completed the assessment. The overall prevalence of depression (PHQ-9 total score ≥ 5) was 39.92% [95% confidence interval (CI) = 29.37−42.47%]. A binary logistic regression analysis revealed that patients with depression were more likely to report a poor health status (p = 0.031), severe anxiety symptoms (p < 0.001), and fatigue (p < 0.001). In the network model for depression, “Sad mood,” “Poor Energy,” and “Guilt” were the most influential symptoms. “Fatigue” had the strongest negative association with QOL, followed by “Sad mood” and “Appetite”.ConclusionDepression is common among patients having undergone pacemaker implantation during the COVID-19 pandemic. Anxiety, central symptoms of depression (i.e., “Sad mood”, “Poor Energy”, and “Guilt”) and depressive symptoms linked to QOL (i.e., “Sad mood”, “Appetite”, and “Fatigue”) identified in this study are promising targets for interventions and preventive measures for depression in patients who have undergone pacemaker implants.

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“…This reduced willingness to vaccinate could be due to the successful prevention and control of the pandemic and low risks of COVID-19 infections in China 4. Concern regarding the efficacy and safety of the COVID-19 vaccine may be another reason for individuals not being willing to receive a vaccination 62. Thus, the importance, efficacy, and safety of COVID-19 vaccines should be emphasized more to maintain high willingness of vaccination especially when the pandemic evolved into the low-27 risk period.…”

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confidence: 99%

Willingness and uptake of the COVID-19 testing and vaccination in urban China: an online cross-sectional survey at early 2021 (Preprint)

Song¹,

Zang²,

Gong³

et al. 2021

Preprint

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BACKGROUND Regular testing and vaccination are effective measures to mitigate the ongoing COVID-19 pandemic. Few studies have focused on COVID-19 testing and vaccination uptake may change as the pandemic continues. OBJECTIVE To examine willingness and uptake of COVID-19 testing and vaccination during a low-risk period of the COVID-19 pandemic in urban China. METHODS A cross-sectional online survey was conducted among 2244 adults in urban China. Descriptive analyses were performed to compare the respondents’ willingness and uptake of COVID-19 testing and vaccination. Multivariate logistic regressions were fitted to investigate the factors associated with willingness and uptake of the two measures. RESULTS In early 2021, 52.45% of the respondents had received or scheduled a COVID-19 test at least once, and a majority (95.63%) were willing to receive testing. 63.28% of the respondents had received/scheduled or were willing to receive a COVID-19 vaccine. Willingness and uptake of COVID-19 testing were not associated with socio-demographic characteristics, except for occupation. Being of older age, migrants, having higher educational attainment and secure employment were associated with a higher uptake of COVID-19 vaccination among the surveyed respondents, while willingness to vaccinate was consistent across socio-demographic characteristics among those who had not been vaccinated. CONCLUSIONS Chinese adults expressed almost universal willingness of COVID-19 testing and relatively low willingness of COVID-19 vaccination at the low-risk period of the COVID-19 pandemic, independent from their socio-demographic characteristics. Maintaining willingness of COVID-19 vaccination is key especially when the pandemic evolved into a low-risk period.

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Factors related with COVID-19 vaccination willingness among outpatients in China

Cited by 5 publications

References 30 publications

Contextualizing Vaccine Hesitancy: A Scoping Review of Factors Influencing COVID-19 Vaccine Uptake

Contextualizing Vaccine Hesitancy: A Scoping Review of Factors Influencing COVID-19 Vaccine Uptake

Prevalence of depression and its association with quality of life in patients after pacemaker implantation during the COVID-19 pandemic: A network analysis

Willingness and uptake of the COVID-19 testing and vaccination in urban China: an online cross-sectional survey at early 2021 (Preprint)

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