Dataset Information

Reasons for COVID-19 Vaccine Hesitancy Among Chinese People Living With HIV/AIDS: Structural Equation Modeling Analysis.

ABSTRACT:

Background

Many countries and organizations recommended people living with HIV/AIDS (PLWHA) receive the COVID-19 vaccine. However, vaccine hesitancy still exists and becomes a barrier for promoting COVID-19 vaccination among PLWHA.

Objective

This study aims to investigate factors that contributed to COVID-19 vaccine hesitancy among PLWHA.

Methods

The study used a multicenter cross-sectional design and an online survey mode. We recruited PLWHA aged 18-65 years from 5 metropolitan cities in China between January 2021 and February 2021. Participants completed an online survey through Golden Data, a widely used encrypted web-based survey platform. Multiple linear regression models were used to assess the background characteristics in relation to COVID-19 vaccine hesitancy, and structural equation modeling was performed to assess the relationships among perceived benefits, perceived risks, self-efficacy, subjective norms, and COVID-19 vaccine hesitancy.

Results

Among 1735 participants, 41.61% (722/1735) reported COVID-19 vaccine hesitancy. Older age, no other vaccinations in the past 3 years, and having chronic disease history were positively associated with COVID-19 vaccine hesitancy. Structural equation modeling revealed a direct relationship of perceived benefits, perceived risks, and subjective norms with self-efficacy and vaccine hesitancy and an indirect relationship of perceived benefits, perceived risks, and subjective norms with vaccine hesitancy. Moreover, self-efficacy toward COVID-19 vaccination was low. PLWHA had concerns of HIV disclosure during COVID-19 vaccination. Family member support could have an impact on COVID-19 vaccination decision-making.

Conclusions

COVID-19 vaccine hesitancy was high among PLWHA in China. To reduce COVID-19 vaccine hesitancy, programs and strategies should be adopted to eliminate the concerns for COVID-19 vaccination, disseminate accurate information on the safety and efficacy of the COVID-19 vaccine, encourage family member support for COVID-19 vaccination, and improve PLWHA's trust of medical professionals.

SUBMITTER: Yao Y

PROVIDER: S-EPMC9255267 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Reasons for COVID-19 Vaccine Hesitancy Among Chinese People Living With HIV/AIDS: Structural Equation Modeling Analysis.

Yao Yan Y Chai Ruiyu R Yang Jianzhou J Zhang Xiangjun X Huang Xiaojie X Yu Maohe M Fu Geng-Feng GF Lan Guanghua G Qiao Ying Y Zhou Qidi Q Li Shuyue S Xu Junjie J

JMIR public health and surveillance 20220630 6

<h4>Background</h4>Many countries and organizations recommended people living with HIV/AIDS (PLWHA) receive the COVID-19 vaccine. However, vaccine hesitancy still exists and becomes a barrier for promoting COVID-19 vaccination among PLWHA.<h4>Objective</h4>This study aims to investigate factors that contributed to COVID-19 vaccine hesitancy among PLWHA.<h4>Methods</h4>The study used a multicenter cross-sectional design and an online survey mode. We recruited PLWHA aged 18-65 years from 5 metropo ...[more]

PMID: 35486810

Similar Datasets

Project description:BackgroundHesitancy to COVID-19 vaccine may worsen the burden of COVID-19 among people living with HIV (PLHIV), who are at a higher risk of COVID-19-related hospitalization and death, compared to HIV non-infected individuals. Therefore, we evaluate the predictors and reasons for COVID-19 vaccine hesitancy among unvaccinated PLHIV in six antiretroviral therapy (ART) clinics across northern Nigeria.MethodologyIn this cross-sectional study, conducted between October 2021 and February 2022 in six hospitals across two geopolitical regions of Nigeria, we utilized interviewer-administered questionnaires to assess COVID-19 vaccine hesitancy among a convenience sample of 790 eligible adult PLHIV. Hesitancy was defined as answering 'no' or 'maybe' to a question asking participants their willingness to accept the COVID-19 vaccine. A multivariate logistic regression model was used to estimate the adjusted odds ratio (aOR) and 95% confidence interval (CI) of the factors associated with COVID-19 vaccine hesitancy among PLHIV.ResultsOf the total 660 unvaccinated participants included in the analysis (61.82% female, mean age [SD] of 39.76 [10.75]), 381 (57.72%) were hesitant to COVID-19 vaccine. Being 50 years and older (aOR: 0.43; 95% CI: 0.21-0.89), being unemployed (aOR: 0.57; 95% CI: 0.34-0.95), experiencing the adverse effects of ART (aOR: 0.36; 95% CI: 0.15-0.86), and perception of being at high risk of contracting COVID-19 (aOR: 0.22; 95% CI: 0.13-0.37) were associated with significantly lower odds of hesitancy. Conversely, being female (aOR: 1.64; 95% CI: 1.02-2.61) and attending ART clinics at state administrative capital cities (IIDH Kano [aOR: 2.40; 95% CI: 1.10-5.25], MMSH Kano [aOR: 5.59; 95% CI: 1.97-10.66], YSSH Damaturu [aOR: 9.88; 95% CI: 4.02-24.29] vs. GH Gashua) were associated with significantly higher odds of hesitancy. The most common reasons for hesitancy include fear of potential adverse effects, skepticism about vaccine efficacy, the rapid development of the COVID-19 vaccine, and the perceived lack of effort to develop a cure or vaccine for HIV/AIDS.ConclusionInterventions aimed at combating misperceptions and misinformation regarding the COVID-19 vaccination program may reduce the prevalence of COVID-19 vaccine hesitancy among unvaccinated PLHIV.

Project description:BackgroundUnderstanding the psychosocial factors influencing self-management behaviors among people living with HIV/AIDS (PLWHA) is crucial for effective medical interventions and improving their quality of life. However, few studies have explored the psychosocial mechanisms influencing self-management behaviors among PLWHA in China. This study, conducted in accordance with STROBE guidelines, uses SEM to explore the roles of social support, self-efficacy, and self-esteem in predicting self-management behaviors among Chinese PLWHA.MethodsFrom March 2023 to July 2023, a convenience sample of 282 PLWHA, recruited from one designated AIDS hospital and one Centers for Disease Control and Prevention in Sichuan Province, China, was surveyed. Data were collected via four validated self-report scales (the Social Support Rating Scale, the General Self-Efficacy Scale, the Self-Esteem Scale, and the HIV/AIDS Patient Self-Management Scale). Structural equation modeling was used to assess the relationships among social support, self-efficacy, self-esteem, and self-management behaviors.ResultsThe new model demonstrated acceptable fit parameters (χ2/df = 2.15, GFI = 0.96, AGFI = 0.93, CFI = 0.93, IFI = 0.94, RMSEA = 0.05). The direct effect of social support on self-management behaviors was significant (β = 0.117, P < 0.05). In addition, self-efficacy and self-esteem played significant mediating roles in the influence of social support on self-management behaviors, accounting for 38.73% and 22.79% of the total effect, respectively. Moreover, they served as chain mediators, contributing 9.80% to the total effect.ConclusionsThese findings contribute to our understanding of the psychosocial dynamics influencing self-management behavior in Chinese PLWHA and have broader implications for populations in other countries. Targeted interventions that enhance social support, self-efficacy, and self-esteem could be applied in various cultural contexts to improve self-management practices among PLWHA globally.

Project description:BackgroundSince the first COVID-19 vaccine appeared, there has been a growing tendency to automatically determine public attitudes toward it. In particular, it was important to find the reasons for vaccine hesitancy, since it was directly correlated with pandemic protraction. Natural language processing (NLP) and public health researchers have turned to social media (eg, Twitter, Reddit, and Facebook) for user-created content from which they can gauge public opinion on vaccination. To automatically process such content, they use a number of NLP techniques, most notably topic modeling. Topic modeling enables the automatic uncovering and grouping of hidden topics in the text. When applied to content that expresses a negative sentiment toward vaccination, it can give direct insight into the reasons for vaccine hesitancy.ObjectiveThis study applies NLP methods to classify vaccination-related tweets by sentiment polarity and uncover the reasons for vaccine hesitancy among the negative tweets in the Serbian language.MethodsTo study the attitudes and beliefs behind vaccine hesitancy, we collected 2 batches of tweets that mention some aspects of COVID-19 vaccination. The first batch of 8817 tweets was manually annotated as either relevant or irrelevant regarding the COVID-19 vaccination sentiment, and then the relevant tweets were annotated as positive, negative, or neutral. We used the annotated tweets to train a sequential bidirectional encoder representations from transformers (BERT)-based classifier for 2 tweet classification tasks to augment this initial data set. The first classifier distinguished between relevant and irrelevant tweets. The second classifier used the relevant tweets and classified them as negative, positive, or neutral. This sequential classifier was used to annotate the second batch of tweets. The combined data sets resulted in 3286 tweets with a negative sentiment: 1770 (53.9%) from the manually annotated data set and 1516 (46.1%) as a result of automatic classification. Topic modeling methods (latent Dirichlet allocation [LDA] and nonnegative matrix factorization [NMF]) were applied using the 3286 preprocessed tweets to detect the reasons for vaccine hesitancy.ResultsThe relevance classifier achieved an F-score of 0.91 and 0.96 for relevant and irrelevant tweets, respectively. The sentiment polarity classifier achieved an F-score of 0.87, 0.85, and 0.85 for negative, neutral, and positive sentiments, respectively. By summarizing the topics obtained in both models, we extracted 5 main groups of reasons for vaccine hesitancy: concern over vaccine side effects, concern over vaccine effectiveness, concern over insufficiently tested vaccines, mistrust of authorities, and conspiracy theories.ConclusionsThis paper presents a combination of NLP methods applied to find the reasons for vaccine hesitancy in Serbia. Given these reasons, it is now possible to better understand the concerns of people regarding the vaccination process.

Project description:BackgroundSeveral vaccines against SARS-CoV-2 have been developed and approved at an unparalleled speed. Given that SARS-CoV-2 vaccines are recommended to pregnant people, our aim was to quantify vaccination uptake, and describe vaccination hesitancy and behavioural attitudes surrounding SARS-CoV-2 vaccination in pregnancy in Canada.MethodsThe CONCEPTION study is an ongoing international study started in June 2020, evaluating the impact of the COVID-19 pandemic on the health of pregnant people and their children. For this study, pregnant people recruited from Apr. 20, 2021, to Feb. 8, 2022, and residing in Canada were invited to complete a Web-based survey. In addition to all CONCEPTION variables, data on vaccine uptake as well as personal knowledge of COVID-19 severity in pregnancy and of SARS-CoV-2 vaccine safety and efficacy were collected. Marginal risk differences and adjusted odds ratios (ORs) were calculated to assess determinants of SARS-CoV-2 vaccination during pregnancy.ResultsFrom Apr. 20, 2021, to Feb. 8, 2022, 603 pregnant people were recruited and gave consent, of which 83.7% (n = 505) were vaccinated and 16.3% (n = 98) were not vaccinated against SARS-CoV-2. Uptake of the influenza vaccine in 2020/21 was a significant predictor of being vaccinated against SARS-CoV-2 or intention to be vaccinated (marginal risk difference 3.2%, 95% confidence interval [CI] 3.0% to 3.3%, adjusted OR 4.43, 95% CI 2.32 to 9.25), and being employed (marginal risk difference 11.2%, 95% CI 10.6% to 11.9%, adjusted OR 2.17, 95% CI 1.03 to 4.35) increased the likelihood of being vaccinated against SARS-CoV-2. Self-assessed knowledge of COVID-19 severity and vaccine efficacy was not associated with vaccine uptake.InterpretationAmong the Canadian pregnant people who responded to this study, vaccine uptake against SARS-CoV-2 was high. However, our results underscore the importance of improving knowledge transfer about the efficacy of SARS-CoV-2 vaccines in pregnancy to guide vaccination efforts.

Project description:BackgroundProphylactic immunization is important for human immunodeficiency virus (HIV)-infected patients; however, there are insufficient data on the burden of vaccine-preventable diseases (VPDs), vaccination rates, and factors influencing vaccination.Materials and methodsThe incidence and prevalence of VPDs in HIV-infected patients between 2006 and 2017 were estimated using the Korean HIV/acquired immune deficiency syndrome (AIDS) cohort database. In addition, we evaluated the vaccination rates and influencing factors for vaccination in HIV-infected patients through multilevel analysis of clinico-epidemiological factors, immune status, and psychological status. A questionnaire survey was conducted among experts to determine whether they recommend vaccination for HIV-infected patients.ResultsThe incidence rates of hepatitis B virus (HBV) infection, herpes zoster, and anogenital warts were 1.74, 7.38, and 10.85 per 1,000 person-years, respectively. The prevalence of HBV infection and anogenital warts at enrollment was 4.8% and 8.6%, respectively, which increased to 5.3% and 12.0%, respectively, by 2017. In HIV-infected patients, HBV (21.7% in 2008, 56.3% in 2013, and 75.4% in 2017) and pneumococcal vaccination rates (3.0% in 2015, 7.6% in 2016, and 9.6% in 2017) increased annually, whereas the influenza vaccination rate remained similar by season (32.7 - 35.6%). In the multilevel analysis, peak HIV viral load (≥50 copies/mL: odds ratio [OR] = 0.64, 95% confidence interval [CI]: 0.44 - 0.93; reference, <50 copies/mL) was an influencing factor for pneumococcal vaccination, while nadir CD4 T-cell counts (200 - 350 cells/mm3: OR = 0.54, 95% CI: 0.38 - 0.76; <200 cells/mm3: OR = 0.89, 95% CI: 0.62 - 1.28; reference, ≥350 cells/mm3) was an influencing factor for HBV vaccination. Influenza vaccination was associated with male sex (OR = 1.94) and the number of antiretroviral therapy (ART) regimen change (OR = 1.16), but was not significantly associated with HIV viral load or CD4 T-cell counts. Most experts responded that they administer hepatitis A virus, HBV, pneumococcal, and influenza vaccines routinely, but not human papillomavirus (12.9%) or herpes zoster vaccines (27.1%).ConclusionThe burden of vaccine-preventable diseases was quite high in HIV-infected patients. Nadir CD4 T-cell counts, peak HIV viral loads, and the number of ART regimen change are significant factors related to vaccination. Considering the low vaccination rates for VPDs, there was a discordance between experts' opinions and real clinical practice in the medical field.

Dataset Information

Reasons for COVID-19 Vaccine Hesitancy Among Chinese People Living With HIV/AIDS: Structural Equation Modeling Analysis.

Background

Objective

Methods

Results

Conclusions

Publications

Reasons for COVID-19 Vaccine Hesitancy Among Chinese People Living With HIV/AIDS: Structural Equation Modeling Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets