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Lermytte E, Bracke P, Ceuterick M. Healthcare Professionals' Discursive Constructions of Parental Vaccine Hesitancy: A Tale of Multiple Moralities. QUALITATIVE HEALTH RESEARCH 2024:10497323241245646. [PMID: 38881208 DOI: 10.1177/10497323241245646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
Healthcare professionals play a crucial role in addressing the concerns of vaccine-hesitant parents since they form a trusted source for vaccine-related information. An increasing body of evidence suggests that healthcare professionals are faced with complexities when navigating the sensitive topic of parental vaccine hesitancy, as they balance their own vaccine- and context-specific concerns with institutional and societal pressures to vaccinate. Furthermore, health choices, such as parental choices for childhood vaccination, are often linked to moralisation. Given the emphasis on effective communication with vaccine-hesitant parents in the patient-centred care literature, it is important to consider healthcare professionals' interpretations of parental vaccine hesitancy. Hence, a deeper understanding of how healthcare professionals make sense of, and moralise, childhood vaccination can help us understand how moralisation might appear in their communication with hesitant parents (in)directly. Drawing on a critical social-psychological framework for discourse analysis, this study analyses 39 semi-structured interviews with healthcare professionals in Flanders, Belgium, and presents the discursive patterns articulated by healthcare professionals on parental vaccine hesitancy. The findings elucidate how healthcare professionals perpetuate, or resist, moral discourse in their accounts of vaccine hesitancy by constructing five different interpretative repertoires, that is, a "good" or "bad" parenting repertoire, a freedom of choice repertoire, an individual risk-benefit repertoire, a public health repertoire, and an accessibility repertoire. Our study highlights the complexities healthcare professionals experience in negotiating vaccine hesitancy, as their understandings of vaccine hesitancy are affected by, and contribute to, existing moral dilemmas and dominant discourses surrounding health and parenting.
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Affiliation(s)
| | - Piet Bracke
- Department of Sociology, Ghent University, Ghent, Belgium
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Ottonello G, Pesenti S, Napolitano F, Calzolari M, Pagnucci N, Aleo G, Zanini M, Catania G, Hayter M, Sasso L, Bagnasco A. Nurses' attitudes towards COVID-19 vaccines: A qualitative study (PROACTIVE-study). J Clin Nurs 2024. [PMID: 38812283 DOI: 10.1111/jocn.17288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/22/2024] [Accepted: 05/13/2024] [Indexed: 05/31/2024]
Abstract
AIM To explore the attitudes of healthcare workers towards COVID-19 vaccines. DESIGN A qualitative descriptive design was used. METHODS Five focus groups were conducted between October and November 2021, with a total of 30 nurses from different contexts in Northern Italy. Thematic analysis was used to analyse the transcripts. RESULTS Three main themes were identified: 'favourable', 'unsure' and 'contrary to' COVID-19 vaccines. The favourable position was underpinned by trust in science, research and vaccination; protection for themselves, their families, patients and the population; duty as professionals; necessity to set an example for others. Participants who were unsure had doubts about the composition, safety and efficacy of the vaccine and were sometimes afraid that media provided incomplete information. The main reason why nurses were against was the feeling that being forced to vaccinate perceived as blackmail. Favourable or unsure nurses struggled to deal with those who were against and developed a series of emotions that ranged from respect and attempt to rationalize, to frustration and defeat. CONCLUSIONS Identifying the areas of hesitation is essential to understand what affects the choices of acceptance, delay or refusal of vaccination. The issues that emerged regarding proper communication within the vaccination campaign highlights the key importance of adequate vaccination strategies. IMPLICATION FOR THE PROFESSION AND/OR PATIENT CARE Understanding attitudes towards vaccine and related motivations among healthcare workers could help develop more specific and targeted vaccination campaigns that can ensure proper vaccination coverage rates and avoid hesitancy or refusal. IMPACT Healthcare workers experiences of COVID-19 vaccines, their views and know how they feel during COVID-19 vaccinations. Healthcare workers had three different positions in COVID-19 vaccination. This research will guide and target future vaccination campaigns. REPORTING METHOD The study is reported using the Standards for Reporting Qualitative Research (SRQR). PATIENT OR PUBLIC CONTRIBUTION No Patient or Public Contribution.
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Affiliation(s)
- Giulia Ottonello
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | | | | | | | - Nicola Pagnucci
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Giuseppe Aleo
- Department of Health Sciences, University of Genoa, Genoa, Italy
- Faculty of Nursing and Midwifery, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Milko Zanini
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Gianluca Catania
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Mark Hayter
- Faculty of Health and Education, Manchester Metropolitan University, Manchester, UK
| | - Loredana Sasso
- Department of Health Sciences, University of Genoa, Genoa, Italy
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Guerrero-Soler M, Gras-Valenti P, Platas-Abenza G, Sánchez-Payá J, Sanjuan-Quiles Á, Chico-Sánchez P. Impact of the COVID-19 Pandemic on Influenza Vaccination Coverage of Healthcare Personnel in Alicante, Spain. Vaccines (Basel) 2024; 12:370. [PMID: 38675752 PMCID: PMC11055171 DOI: 10.3390/vaccines12040370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 03/17/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Influenza is a health problem and vaccination is the most effective measure to prevent it. The objective of this study was to evaluate the impact of the COVID-19 pandemic on vaccination coverage (VC) against influenza in healthcare workers (HCWs). A cross-sectional study was conducted at the Dr. Balmis University General Hospital in the province of Alicante (Spain), in which vaccination data were collected retrospectively. Adverse effects (AEs) were detected via telephone call between 15 and 30 days after vaccination. The existence of significant changes in VC between the different seasons studied was evaluated using Chi square with a statistical significance level of p < 0.05. A total of 8403 HCWs vaccinated throughout the different seasons were studied. The vaccination coverage of HCWs for influenza pre-COVID-19 pandemic (2019/20 season) was 51.9%; increased during the pandemic to 67.9% (2020/21 season) and 65.5% (2021/22 season); and, after the pandemic, it decreased to 42.7% (2022/23 season) (p < 0.05). The most frequent reason for vaccination during the periods evaluated was "self-protection", followed by "protection of patients" and "protection of family members". Of all HCWs evaluated, 26.6% (1460/5493) reported at least one AE. During the COVID-19 pandemic, HCWs' influenza vaccination coverage fluctuated considerably. There has been an increase in VC during the most critical moments of the pandemic, both in the 2020/21 and 2021/22 seasons, which has, subsequently, decreased in the 2022/2023 season, to levels below pre-pandemic (2019/2020 season), which justifies implementing specific measures to recover VC in Spain.
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Affiliation(s)
- María Guerrero-Soler
- Epidemiology Unit, Preventive Medicine Service, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain; (M.G.-S.); (G.P.-A.); (J.S.-P.); (P.C.-S.)
| | - Paula Gras-Valenti
- Epidemiology Unit, Preventive Medicine Service, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain; (M.G.-S.); (G.P.-A.); (J.S.-P.); (P.C.-S.)
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain
| | - Guillermo Platas-Abenza
- Epidemiology Unit, Preventive Medicine Service, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain; (M.G.-S.); (G.P.-A.); (J.S.-P.); (P.C.-S.)
| | - José Sánchez-Payá
- Epidemiology Unit, Preventive Medicine Service, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain; (M.G.-S.); (G.P.-A.); (J.S.-P.); (P.C.-S.)
| | | | - Pablo Chico-Sánchez
- Epidemiology Unit, Preventive Medicine Service, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain; (M.G.-S.); (G.P.-A.); (J.S.-P.); (P.C.-S.)
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain
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Gu W, Liu Y, Chen Q, Wang J, Che X, Du J, Zhang X, Xu Y, Zhang X, Jiang W, Wang J, Xie Q, Lu Z, Yang Y, Gu L, Chen J. Acceptance of influenza vaccination and associated factors among teachers in China: A cross-sectional study based on health belief model. Hum Vaccin Immunother 2023; 19:2270325. [PMID: 37905951 PMCID: PMC10760392 DOI: 10.1080/21645515.2023.2270325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/10/2023] [Indexed: 11/02/2023] Open
Abstract
Teachers played an important role on the transmission of influenza in schools and communities. The study aims to investigate the influenza vaccination coverage and the factors determining flu vaccination acceptance among teachers in Hangzhou, China. A total of 1039 junior high school teachers in Hangzhou were recruited. The self-made questionnaire was used to investigate the influenza vaccine coverage among teachers and the influencing factors of influenza vaccination acceptance. Univariate analysis using the chi-square test and multivariable analysis using binary logistic regression were conducted to determine the relative predictors. The Influenza vaccine coverage among teachers was 5.9% (62/1039). 52.9% of teachers had the intention to receive influenza vaccine, 25.3% (247/977)/21.8% (213/977) of participants was hesitant/did not have the intention to get influenza vaccine. The top three sources for teachers to gain knowledge about influenza were website (72%), TV/radio (66.1%) and social media (58%). Whether get influenza vaccination before, knowledge about influenza and influenza vaccine, the beliefs for the likelihood of catching flu, the severity of getting flu, the effectiveness of influenza vaccine, the possibility of side effects after vaccination, and the troublesome of vaccination, doctors' recommendation, as well as the situation of vaccination among other teachers were the associated factors of influenza vaccination acceptance. The influenza vaccination coverage was low but the intentions were relatively high among junior high school teachers. Future research should focus on the relationship between vaccination acceptance and behavior to increase influenza vaccination rates.
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Affiliation(s)
- Wenwen Gu
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yan Liu
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Qinghua Chen
- Department of Immunization and Prevention, Linping District Center for Disease Control and Prevention, Hangzhou, China
| | - Jun Wang
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Xinren Che
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jian Du
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Xiaoping Zhang
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yuyang Xu
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Xuechao Zhang
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Wei Jiang
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Jing Wang
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Qixin Xie
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Zhaojun Lu
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Yingying Yang
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Lintao Gu
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
| | - Junfang Chen
- Department of Immunization and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, China
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Challenger A, Sumner P, Powell E, Bott L. Identifying reasons for non-acceptance of influenza vaccine in healthcare workers: an observational study using declination form data. BMC Health Serv Res 2023; 23:1167. [PMID: 37891521 PMCID: PMC10604813 DOI: 10.1186/s12913-023-10141-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Healthcare workers are sometimes required to complete a declination form if they choose not to accept the influenza vaccine. We analysed the declination data with the goal of identifying barriers to vaccination uptake across seasons, staff groups, and pre- and post- arrival of COVID-19. METHODS Reasons for declining the vaccine were gathered from N = 2230 declination forms, collected over four influenza seasons, 2017/2018, 2018/2019, 2019/2020 and 2020/2021, from a single health board in the UK. Reasons were classified according to ten categories and the resulting distribution analysed across year and staff groups. A further analysis considered the two most prevalent categories in more detail. RESULTS Fear of adverse reactions and Lack of perception of own risk were identified as primary reasons for not accepting the vaccine across time and across staff groups. However, there was no evidence that Lack of concern with influenza, or Doubts about vaccine efficacy was prevalent, contrary to previous findings. Overall, reasons fitted a pattern of underestimating risk associated with influenza and overestimating risk of minor adverse reactions. There were also differences across years, χ2(24) = 123, p < .001. In particular, there were relatively fewer Lack of perception of own risk responses post-COVID-19 arrival than before, χ2(8) = 28.93, p = .002. CONCLUSION This study shows that data collected from declination forms yields sensible information concerning vaccine non-acceptance without the difficulties of retrospective or pre-emptive reasoning suffered by questionnaires. Our findings will aid messaging campaigns designed to encourage uptake of the influenza vaccine in healthcare workers. In particular, we argue for an approach focused on risk perception rather than correction of straightforward misconceptions.
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Affiliation(s)
- Aimee Challenger
- World Health Organization Collaborating Centre On Investment for Health and Wellbeing, Public Health Wales, Cardiff, Wales, UK
| | - Petroc Sumner
- School of Psychology, Cardiff University, Tower Building, 70 Park Place, Cardiff, CF10 3AT, Wales, UK
| | - Eryl Powell
- Aneurin Bevan Gwent Public Health Team, Aneurin Bevan University Health Board, Wales, UK
| | - Lewis Bott
- School of Psychology, Cardiff University, Tower Building, 70 Park Place, Cardiff, CF10 3AT, Wales, UK.
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Saade A, Rasoloarivalona F, Poinsignon J, Garlantezec R, Tattevin P, Paris C. Influenza vaccine coverage among healthcare workers: A cluster analysis from a cross-sectional survey. Infect Dis Now 2023; 53:104740. [PMID: 37354937 DOI: 10.1016/j.idnow.2023.104740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/21/2023] [Accepted: 06/15/2023] [Indexed: 06/26/2023]
Abstract
OBJECTIVES Influenza vaccination is recommended for healthcare workers (HCWs). However, in a 1500-bed tertiary care university hospital in France, influenza vaccine coverage among HCWs was 23% in 2017. PATIENTS AND METHODS We performed a cross-sectional study between 05/09/2018 and 25/09/2018 among HCWs, randomly selected independent of their vaccination status, to estimate influenza vaccination coverage rate during the 2017-2018 season, and explore factors influencing vaccination, using a questionnaire. Multivariable regression analysis to assess factors associated with vaccine uptake and hierarchical clustering on principal components to identify HCW profiles regarding factors influencing vaccine uptake, were performed after multiple imputation. RESULTS 977 HCWs were included (68% participation rate), primarily females (84%), nurses (38%) of 18-39 years old. Influenza vaccination coverage rate reached 33[30-36]%. Frequent vaccination (aOR 39.27[21.52-74.51]) and personal/family medical history of influenza (aOR 3.33[1.16-10.02]) were independently associated with vaccination. In HCWs' patterns of influenza vaccination status, three clusters were identified: 1) (n = 438) mostly vaccinated (70%); 2) (n = 507) most unvaccinated (97%); and 3) (n = 32) unvaccinated HCWs lacking knowledge on influenza and influenza vaccine. Among the 148 (15%) HCWs reluctant to receive the vaccine the following year, 23 (16%) received it for the 2017-2018 season, while 125 (84%) did not, mostly stating they had doubts about the vaccine (82%). CONCLUSION This work identifies determinants of vaccine uptake and highlights HCWs profiles associated with factors influencing vaccination and a subgroup of HCWs flexible about having the vaccine during the upcoming seasonal campaign. This result opens up perspectives toward improved vaccination coverage among HCWs.
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Affiliation(s)
- Anastasia Saade
- Occupational Disease Department, CHU de Rennes, France; Université de Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, 35000 Rennes, France.
| | | | | | - Ronan Garlantezec
- Université de Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, 35000 Rennes, France
| | - Pierre Tattevin
- Infectious Diseases and Intensive Care Unit, CHU de Rennes, Université de Rennes, Inserm U1230, IFR140, 35033 Rennes, France
| | - Christophe Paris
- Occupational Disease Department, CHU de Rennes, France; Université de Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, 35000 Rennes, France
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Zhao T, Wang C, Zhang S, Chen L, Han B, Liu H, Xie M, Cai X, Zhang S, Zhou Y, Li G, Liu B, Du J, Zeng J, Liu Y, Lu Q, Cui F. What Causes the Discrepancy in SARS-CoV-2 Vaccine Between Parental Hesitancy for Themselves and for Their Children During Lockdown Period? J Epidemiol Glob Health 2023; 13:422-434. [PMID: 37378822 PMCID: PMC10468446 DOI: 10.1007/s44197-023-00122-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 05/22/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Parents are usually the decision-makers for vaccinations of children. Therefore, it is important to understand parental beliefs and attitudes toward severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine for themselves and their children when it was approved for children age 3-17. METHOD A cross-sectional survey based on an anonymous online questionnaire for parents was conducted in seven provinces of China, and demographic information, vaccination history, parental decision motives, and health belief model toward themselves and their children were collected, respectively. RESULTS The overall parental hesitancy rate toward themselves was 20.30%, and that toward their children was 7.80%. More parental concerns on disease severity (odd ratio [OR] = 1.11, 95% confidence interval [CI]: 1.01-1.61) and susceptibility (OR = 1.29, 95% CI: 1.01-1.63) of children could be the causes of discrepancy in hesitancy for themselves and for their children. Parents who hesitated to vaccinate themselves might also be hesitated to vaccinate their children (β = 0.077, P < 0.001). CONCLUSION Threat perception may lead to inconsistencies in parental vaccination decisions toward themselves and toward their children. Correcting misinformation and strengthening education about COVID-19 are of great significance in addressing vaccine hesitancy among parents and children.
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Affiliation(s)
- Tianshuo Zhao
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Chao Wang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Sihui Zhang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Linyi Chen
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Bingfeng Han
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Hanyu Liu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Mingzhu Xie
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Xianming Cai
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Shanshan Zhang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Yiguo Zhou
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Guoxing Li
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Puyang Center for Disease Control and Prevention, Henan, 457005, People's Republic of China
| | - Bei Liu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Juan Du
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Jing Zeng
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Yaqiong Liu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Qingbin Lu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China
| | - Fuqiang Cui
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
- Vaccine Research Center, School of Public Health, Peking University, Beijing, 100191, People's Republic of China.
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Dale C, Seage CH, Phillips R, James D. The Role of Medication Beliefs in COVID-19 Vaccine and Booster Uptake in Healthcare Workers: An Exploratory Study. Healthcare (Basel) 2023; 11:1967. [PMID: 37444801 DOI: 10.3390/healthcare11131967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/15/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
Illness and medication beliefs have shown to predict COVID-19 vaccination behaviour in the general population, but this relationship has yet to be demonstrated in healthcare staff. This research aimed to explore the potential explanatory value of illness and medication beliefs on the COVID-19 vaccination uptake of a sample of patient-facing healthcare workers (HCWs). A web-based questionnaire-measuring beliefs about vaccinations (the BMQ), perceptions of COVID-19 (the BIPQ), vaccine hesitancy, and vaccine uptake-was targeted to HCWs via social media platforms between May-July 2022. Open text responses allowed participants to provide explanations for any delay in vaccine uptake. A total of 91 participants completed the questionnaire. Most respondents (77.1%, n = 64) had received three doses of the COVID-19 vaccination, and vaccination uptake (number of doses received) was predicted by Vaccine Concerns, Vaccine Hesitancy, and their Necessity-Concerns Differential score. Vaccine Hesitancy was predicted by Necessity, Concerns, and Overuse scores, as well as Necessity-Concerns Differential scores. Delay in Vaccine Uptake could only be predicted for Dose 3 (Booster). Qualitative data revealed that hesitant respondents were "unable to take time off work" for vaccination and that some had concerns over vaccine safety. In conclusion, illness and medication beliefs have potential value in predicting vaccine hesitancy and uptake in healthcare workers. Interventions to improve vaccination uptake in this population should address concerns about vaccine safety and releasing staff for vaccination booster appointments should be prioritised. Future research should further investigate the relationship between illness and medication beliefs and COVID-19 vaccine uptake in a larger sample of healthcare workers.
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Affiliation(s)
- Carys Dale
- School of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff CF10 3AT, UK
| | - Catherine Heidi Seage
- School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF5 2YB, UK
| | - Rhiannon Phillips
- School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF5 2YB, UK
| | - Delyth James
- School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF5 2YB, UK
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Jiang B, Cao Y, Qian J, Jiang M, Huang Q, Sun Y, Dai P, Yi H, Zhang R, Xu L, Zheng J, Yang W, Feng L. Healthcare Workers' Attitudes toward Influenza Vaccination: A Behaviour and Social Drivers Survey. Vaccines (Basel) 2023; 11:143. [PMID: 36679986 PMCID: PMC9863509 DOI: 10.3390/vaccines11010143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/04/2023] [Accepted: 01/06/2023] [Indexed: 01/11/2023] Open
Abstract
This study aimed to understand the intention and correlation of receiving and recommending influenza vaccine (IV) among healthcare workers (HCWs) in China during the 2022/2023 season using the behavior and social drivers (BeSD) tools. A self-administered electronic survey collected 17,832 participants on a media platform. We investigated the willingness of IV and used multivariate logistic regression analysis to explore its associated factors. The average scores of the 3Cs’ model were compared by multiple comparisons. We also explored the factors that potentially correlated with recommendation willingness by partial regression. The willingness of IV was 74.89% among HCWs, and 82.58% of the participants were likely to recommend it to others during this season. Thinking and feeling was the strongest domain independently associated with willingness. All domains in BeSD were significantly different between the hesitancy and acceptance groups. Central factors in the 3Cs model were significantly different among groups (p < 0.01). HCWs’ willingness to IV recommendation was influenced by their ability to answer related questions (r = 0.187, p < 0.001) after controlling for their IV willingness and perceived risk. HCWs’ attitudes towards IV affect their vaccination and recommendation. The BeSD framework revealed the drivers during the decision-making process. Further study should classify the causes in detail to refine HCWs’ education.
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Affiliation(s)
- Binshan Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yanlin Cao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Jie Qian
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Mingyue Jiang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Qiangru Huang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yanxia Sun
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Peixi Dai
- Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Heya Yi
- Department of International Affairs, Chinese Preventive Medicine Association, Beijing 100062, China
| | - Run Zhang
- “Breath Circles” Network Platform, Beijing 100026, China
| | - Lili Xu
- Institute for Non-Communicable Disease Control and Prevention, Qinghai Provincial Center for Disease Control and Prevention, Xining 810007, China
| | - Jiandong Zheng
- Division of Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Weizhong Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Luzhao Feng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Tostrud L, Thelen J, Palatnik A. Models of determinants of COVID-19 vaccine hesitancy in non-pregnant and pregnant population: Review of current literature". Hum Vaccin Immunother 2022; 18:2138047. [PMID: 36345571 DOI: 10.1080/21645515.2022.2138047] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Vaccination has proven to be the most effective tool in controlling the COVID-19 pandemic. While pregnant individuals are considered to be a high-risk population and are more likely to experience adverse effects from COVID-19, vaccination rates among pregnant individuals are significantly lower than in the general population. The Health Belief Model (HBM), Theory of Planned Behavior (TPB), 3C model, 5C model, and 5A model have been used to assess vaccination hesitancy behaviors. In this paper, we review the use of each of these models to address vaccine hesitancy, with a focus on the pregnant population and the COVID-19 vaccine. The HBM, TPB, 3C model, and 5C model have demonstrated great versatility in their ability to evaluate, explain, and modify vaccine hesitancy and behavior. Up to date, the HBM and 3C models appear to be the most effective models to study and address vaccination hesitancy within the pregnant persons.
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Affiliation(s)
- Lauren Tostrud
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Julia Thelen
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Anna Palatnik
- Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
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Bianchi FP, Stefanizzi P, Di Gioia MC, Brescia N, Lattanzio S, Tafuri S. COVID-19 vaccination hesitancy in pregnant and breastfeeding women and strategies to increase vaccination compliance: a systematic review and meta-analysis. Expert Rev Vaccines 2022; 21:1443-1454. [PMID: 35818804 DOI: 10.1080/14760584.2022.2100766] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Pregnant and breastfeeding women are at an increased risk of severe illness from COVID-19. Despite this, low vaccination coverages are reported in this population sub-group. AREAS COVERED The purpose of this study is to estimate the proportion of pregnant and breastfeeding women expressing hesitation to the COVID-19 vaccine worldwide. Forty-six studies were included in the meta-analysis and systematic review, selected from scientific articles available in the MEDLINE/PubMed, Google Scholar, and Scopus databases between January 1, 2020 and February 6, 2022. The vaccine hesitation rate among pregnant and breastfeeding women was 48.4% (95%CI= 43.4-53.4%). In a sub analysis by study period, it was 40.0% (95%CI=31.6-46.6%) considering surveys administered in 2020, 58.0% (95%CI=48.9-66.9%) considering surveys administered in the first semester of 2021, and 38.1% (95%CI=25.9-51.2%) considering surveys administered in the second semester of 2021. The main reasons for vaccine hesitation were lack of information about vaccination, opinion that the vaccine is unsafe, and fear of adverse events. EXPERT OPINION Available evidence in the literature has shown that fighting vaccine resistance is harsh and too slow as a process, considering the rapidity and unpredictability of a pandemic. Health education should be provided in order to improve the willingness of the community, especially for those with lower levels of education.
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Affiliation(s)
| | | | | | - Nazario Brescia
- Interdisciplinary Department of Medicine, Aldo Moro University of Bari
| | - Sabrina Lattanzio
- Interdisciplinary Department of Medicine, Aldo Moro University of Bari
| | - Silvio Tafuri
- Interdisciplinary Department of Medicine, Aldo Moro University of Bari
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12
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Bianchi FP, Stefanizzi P, Brescia N, Lattanzio S, Martinelli A, Tafuri S. COVID-19 vaccination hesitancy in Italian healthcare workers: a systematic review and meta-analysis. Expert Rev Vaccines 2022; 21:1289-1300. [PMID: 35757890 DOI: 10.1080/14760584.2022.2093723] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION As for other vaccines, vaccination hesitancy may be a determining factor in the success (or otherwise) of the COVID-19 immunization campaign in healthcare workers (HCWs). AREAS COVERED To estimate the proportion of HCWs in Italy who expressed COVID-19 vaccine hesitancy, we conducted a systematic review of the relevant literature and a meta-analysis. Determinants of vaccine compliance and options suggested by these studies to address vaccine hesitancy among HCWs were also analyzed. Seventeen studies were included in the meta-analysis and systematic review, selected from scientific articles available in the MEDLINE/PubMed, Google Scholar and Scopus databases between January 1, 2020 and January 25, 2022. The vaccine hesitancy rate among HCWs was 13.1% (95%CI: 6.9-20.9%). The vaccine hesitancy rate among HCWs investigated before and during the vaccination campaign was 18.2% (95%CI=12.8-24.2%) and 8.9% (95%CI=3.4-16.6%), respectively. That main reasons for vaccine hesitation were lack of information about vaccination, opinion that the vaccine is unsafe, and fear of adverse events. EXPERT OPINION Despite strategies to achieve a greater willingness to immunize in this category, mandatory vaccination appears to be one of the most important measures that can guarantee the protection of HCWs and the patients they care for.
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Affiliation(s)
| | - Pasquale Stefanizzi
- Department of Biomedical Science and Human Oncology, Aldo Moro University of Bari
| | - Nazario Brescia
- Department of Biomedical Science and Human Oncology, Aldo Moro University of Bari
| | - Sabrina Lattanzio
- Department of Biomedical Science and Human Oncology, Aldo Moro University of Bari
| | - Andrea Martinelli
- Department of Biomedical Science and Human Oncology, Aldo Moro University of Bari
| | - Silvio Tafuri
- Department of Biomedical Science and Human Oncology, Aldo Moro University of Bari
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