H1N1 Influenza Vaccine Compliance among Hospital- and Non-Hospital-Based Healthcare Personnel

2012 ◽  
Vol 33 (7) ◽  
pp. 737-744 ◽  
Author(s):  
Terri Rebmann ◽  
Ayesha Iqbal ◽  
John Anthony ◽  
Richard C. Knaup ◽  
Kathleen S. Wright ◽  
...  
Keyword(s):  
Public Health ◽  
Side Effects ◽  
Influenza Vaccine ◽  
H1n1 Influenza ◽  
Vaccine Uptake ◽  
Healthcare Personnel ◽  
H1n1 Vaccine ◽  
Targeted Interventions ◽  
Perceived Importance ◽  
Public Health Officials

Background.The 2009 pandemic H1N1 influenza vaccine had lower uptake compared to seasonal influenza vaccine, and most studies examining uptake of H1N1 vaccine focused on hospital-based healthcare personnel (HCP). Determinants of H1N1 vaccine uptake among HCP in all work settings need to be identified so that interventions can be developed for use in encouraging uptake of future pandemic or emerging infectious disease vaccines.Objective.To identify factors influencing nonhospital HCP H1N1 influenza vaccine compliance.Design and Setting.An H1N1 influenza vaccine compliance questionnaire was administered to HCP working in myriad healthcare settings in March-June 2011.Methods.Surveys were used to assess H1N1 influenza vaccine compliance and examine factors that predicted H1N1 influenza vaccine uptake.Results.In all, 3,188 HCP completed the survey. Hospital-based HCP had higher compliance than did non-hospital-based personnel (x2 = 142.2, P < .001). In logistic regression stratified by hospital setting versus nonhospital setting, determinants of H1N1 vaccination among non-hospital-based HCP included extent to which H1N1 vaccination was mandated or encouraged, perceived importance of vaccination, access to no-cost vaccine provided on-site, no fear of vaccine side effects, and trust in public health officials when they say that the influenza vaccine is safe. Determinants of hospital-based HCP H1N1 vaccine compliance included having a mandatory vaccination policy, perceived importance of vaccination, no fear of vaccine side effects, free vaccine, perceived seriousness of H1N1 influenza, and trust in public health officials.Conclusions.Non-hospital-based HCP versus hospital-based HCP reasons for H1N1 vaccine uptake differed. Targeted interventions are needed to increase compliance with pandemic-related vaccines.

scholarly journals Determinants of COVID-19 Vaccine Acceptance in the U.S.

2020 ◽  
Author(s):  
Amyn A. Malik ◽  
SarahAnn M. McFadden ◽  
Jad Elharake ◽  
Saad B. Omer
Keyword(s):  
Public Health ◽  
New York ◽  
Influenza Vaccine ◽  
Risk Perceptions ◽  
Adult Population ◽  
Vaccine Uptake ◽  
Sources Of Information ◽  
Vaccine Acceptance ◽  
Public Health Officials ◽  
The U.S

Background:The COVID-19 pandemic continues to adversely affect the U.S., which leads globally in total cases and deaths. As COVID-19 vaccines are under development, public health officials and policymakers need to create strategic vaccine-acceptance messaging to effectively control the pandemic and prevent thousands of additional deaths. Methods: Using an online platform, we surveyed the U.S. adult population in May 2020 to understand risk perceptions about the COVID-19 pandemic, acceptance of a COVID-19 vaccine, and trust in sources of information. These factors were compared across basic demographics. Findings: Of the 672 participants surveyed, 450 (67%) said they would accept a COVID-19 vaccine if it is recommended for them. Males (72%), older adults (≥55 years; 78%), Asians (81%), and college and/or graduate degree holders (75%) were more likely to accept the vaccine. When comparing reported influenza vaccine uptake to reported acceptance of the COVID-19 vaccine: 1) participants who did not complete high school had a very low influenza vaccine uptake (10%), while 60% of the same group said they would accept the COVID-19 vaccine; 2) unemployed participants reported lower influenza uptake and lower COVID-19 vaccine acceptance when compared to those employed or retired; and, 3) black Americans reported lower influenza vaccine uptake and lower COVID-19 vaccine acceptance than nearly all other racial groups. Lastly, we identified geographic differences with Department of Health and Human Services regions 2 (New York) and 5 (Chicago) reporting less than 50 percent COVID-19 vaccine acceptance. Interpretation: Although our study found a 67% acceptance of a COVID-19 vaccine, there were noticeable demographic and geographical disparities in vaccine acceptance. Before a COVID-19 vaccine is introduced to the U.S., public health officials and policymakers must prioritize effective COVID-19 vaccine-acceptance messaging for all Americans, especially those who are most vulnerable.

scholarly journals Healthcare personnel knowledge, motivations, concerns and intentions regarding COVID-19 vaccines: a cross-sectional survey

2021 ◽  
Author(s):  
Vivek Jain ◽  
Sarah B. Doernberg ◽  
Marisa Holubar ◽  
Beatrice Huang ◽  
Carina Marquez ◽  
...  
Keyword(s):  
Side Effects ◽  
San Francisco ◽  
Vaccine Uptake ◽  
Healthcare Personnel ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Adult Age ◽  
Raising Awareness ◽  
Few Data ◽  
The University

AbstractBackgroundHealthcare personnel (HCP) are prioritized for earliest SARS-CoV-2 vaccine administration, yet relatively few data exist on HCP’s knowledge, motivations, concerns, and intentions regarding COVID-19 vaccines.MethodsWe conducted a cross-sectional survey Nov.16-Dec.8, 2020 among HCP enrolled in a cohort study at three Northern California medical centers serving diverse roles including COVID-19 patient care. Eligible HCP were adult (age≥18) on-site employees of the University of California, San Francisco, San Francisco General Hospital, and Stanford Healthcare. A one-time electronically-administered survey was sent to cohort HCP on November 16, 2020 and responses analyzed.ResultsOverall, among 2,448 HCP invited, 2,135 completed the COVID-19 vaccine survey (87.2% response rate). HCPs had mean age 41 years, were 73% female, and had diverse jobs including COVID-19 patient contact. Enthusiasm for vaccination was overall strong, and more HCP (1,453, 69%) said they would definitely/likely receive vaccine if formally FDA-approved versus if approved via emergency use authorization only (785, 35%). While 541 (25%) respondents wanted to be among the earliest to receive vaccine, more desired vaccination after the first round (777, 36%) or >2 months after vaccinations began (389, 18%). Top factors increasing motivation for vaccination included perceiving risk from COVID-19 to self (1,382, 65%) or to family/friends (1355, 63%). Top concerns were vaccine side effects, cited by 596 (28%), and concerns about political involvement in FDA’s approval process (249, 12%).ConclusionsHCP were enthusiastic about COVID-19 vaccination for individual protection and protecting others, but harbored concerns about vaccine side effects. Our data may inform emerging vaccine education campaigns.Key PointsAmong 2,135 healthcare personnel surveyed, we found enthusiasm for COVID-19 vaccination both for individual benefit and protecting others. However, healthcare personnel rated their knowledge of COVID-19 vaccines as only moderate and harbored concerns about vaccine side effects. Education raising awareness of vaccine efficacy and side effects may help maximize vaccine uptake.

scholarly journals The Social Ecological Model as a Framework for Determinants of 2009 H1N1 Influenza Vaccine Uptake in the United States

2011 ◽  
Vol 39 (2) ◽  
pp. 229-243 ◽  
Author(s):  
Supriya Kumar ◽  
Sandra Crouse Quinn ◽  
Kevin H. Kim ◽  
Donald Musa ◽  
Karen M. Hilyard ◽  
...  
Keyword(s):  
United States ◽  
Influenza Vaccine ◽  
Ecological Model ◽  
H1n1 Influenza ◽  
The United States ◽  
Social Ecological Model ◽  
Vaccine Uptake ◽  
Social Ecological ◽  
The Social ◽  
2009 H1n1

scholarly journals Seasonal Influenza Vaccination and Recommendation: The Difference between General Practitioners and Public Health Workers in China

Vaccines ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 265 ◽  
Author(s):  
Hongguo Rong ◽  
Xiaozhen Lai ◽  
Xiaochen Ma ◽  
Zhiyuan Hou ◽  
Shunping Li ◽  
...  
Keyword(s):  
Public Health ◽  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
General Practitioners ◽  
Seasonal Influenza ◽  
Health Workers ◽  
The Elderly ◽  
Vaccine Uptake ◽  
Knowledge And Attitudes ◽  
Public Health Workers

Seasonal influenza vaccination for healthcare workers (HCWs) is critical to the protection of HCWs and their patients. This study examined whether the separation of public health workers and general practitioners could affect the influenza vaccine uptake and recommendation behaviors among HCWs in China. A survey was conducted from August to October 2019, and HCWs from 10 provinces in China were recruited. A self-administered and anonymous questionnaire was used to assess HCWs’ demographic information, knowledge, and attitudes toward influenza vaccination, as well as vaccine uptake and recommendation behaviors. The primary outcome was HCWs’ vaccination and recommendation status of seasonal influenza vaccine. Multivariate logistic regression models were used to identify the influence factors of influenza vaccine uptake and recommendation among HCWs. Of the 1159 HCWs in this study, 25.3% were vaccinated against influenza in the previous season. “No need to get vaccinated” was the primary reason for both unvaccinated public health workers and general practitioners. Multivariate logistic regression showed that public health workers were more likely to get vaccinated against influenza (OR = 2.20, 95% CI 1.59–3.05) and recommend influenza vaccination to children (OR = 2.10, 95% CI 1.57–2.80) and the elderly (OR = 1.69, 95% CI 1.26–2.25) than general practitioners. Besides, the knowledge and perceived risk of influenza can give rise to HCWs’ vaccination and recommendation behaviors, and HCWs who got vaccinated in the past year were more likely to recommend it to children and the elderly in their work. The influenza vaccine coverage and recommendation among HCWs are still relatively low in China, especially for general practitioners. Further efforts are needed to improve the knowledge and attitudes toward influenza and influenza vaccination among HCWs, and coherent training on immunization for both public health workers and general practitioners might be effective in the face of separated public health and clinical services in China.

Optimal public health intervention in a behavioural vaccination model: the interplay between seasonality, behaviour and latency period

2018 ◽  
Vol 36 (3) ◽  
pp. 297-324
Author(s):  
Bruno Buonomo ◽  
Rossella Della Marca ◽  
Alberto d’Onofrio
Keyword(s):  
Public Health ◽  
Side Effects ◽  
Perceived Risk ◽  
Transmission Rate ◽  
Minimum Principle ◽  
Public Health Intervention ◽  
Latency Period ◽  
Vaccine Uptake ◽  
Optimal Time ◽  
The Impact

AbstractHesitancy and refusal of vaccines preventing childhood diseases are spreading due to ‘pseudo-rational’ behaviours: parents overweigh real and imaginary side effects of vaccines. Nonetheless, the ‘Public Health System’ (PHS) may enact public campaigns to favour vaccine uptake. To determine the optimal time profiles for such campaigns, we apply the optimal control theory to an extension of the susceptible-infectious-removed (SIR)-based behavioural vaccination model by d’Onofrio et al. (2012, PLoS ONE, 7, e45653). The new model is of susceptible-exposed-infectious-removed (SEIR) type under seasonal fluctuations of the transmission rate. Our objective is to minimize the total costs of the disease: the disease burden, the vaccination costs and a less usual cost: the economic burden to enact the PHS campaigns. We apply the Pontryagin minimum principle and numerically explore the impact of seasonality, human behaviour and latency rate on the control and spread of the target disease. We focus on two noteworthy case studies: the low (resp. intermediate) relative perceived risk of vaccine side effects and relatively low (resp. very low) speed of imitation. One general result is that seasonality may produce a remarkable impact on PHS campaigns aimed at controlling, via an increase of the vaccination uptake, the spread of a target infectious disease. In particular, a higher amplitude of the seasonal variation produces a higher effort and this, in turn, beneficially impacts the induced vaccine uptake since the larger is the strength of seasonality, the longer the vaccine propensity remains large. However, such increased effort is not able to fully compensate the action of seasonality on the prevalence.

scholarly journals Myths Surrounding Covid-19 Vaccine Candidates: A Guide to Fight Back

2021 ◽  
Author(s):  
John Zizzo
Keyword(s):  
Public Health ◽  
Herd Immunity ◽  
Vaccine Uptake ◽  
Protective Measure ◽  
Vaccine Hesitancy ◽  
Health Providers ◽  
Vaccine Candidates ◽  
The Public ◽  
News Organizations ◽  
Public Health Officials

The Covid-19 pandemic has propelled public health officials into the socio-political sphere due to the need for constantly updated information on behalf of the public. However, many individuals choose to acquire health information/guidance from indirect sources, including social media, news organizations, and general word of mouth. As a result, myths and false narratives about various essential health topics, including vaccine characteristics and protective measures, can circulate un-verified between millions of individuals with little recourse. These can further widen the “gap” between public knowledge and current research, resulting in lower vaccine uptake (vaccine hesitancy) and protective measure adherence. Such actions have profound implications as nations attempt to achieve herd immunity and end the pandemic once and for all. Thus, it is vital that public health officials, health providers, researchers, and the general public be able to differentiate common Covid-19 myths from facts and be prepared to approach such interactions via sound reasoning and research-based evidence. This chapter will serve as a guide to accomplish just that.

scholarly journals Characterization of influenza vaccination recommendation across spatial scales in the United States

2021 ◽  
Author(s):  
Madeline C. Kuney ◽  
Casey M. Zipfel ◽  
Shweta Bansal
Keyword(s):  
Public Health ◽  
Influenza Vaccine ◽  
Influenza Vaccination ◽  
Spatial Scales ◽  
The United States ◽  
Vaccine Uptake ◽  
County Level ◽  
Health Administration ◽  
Vaccination Recommendation ◽  
Vaccination Recommendations

AbstractThe US public health system is organized in 3 levels: national, state-level, and county-level. Public health messaging both within and across these scales may not always be consistent, and for transmissible public health threats where cases in one spatial location may impact other areas, this lack of consistency could create problems. Here, we collected and analyzed data on influenza vaccination recommendations across public health administration levels. We assess spatial heterogeneity at the county level, and analyze consistency in recommendations across spatial scales. We also compare information accessibility with influenza vaccine affordability and availability to identify factors that may be most related to vaccine uptake. We find that influenza vaccine recommendations are highly variable in both their priority group specificity and in their ease of access, and there is poor agreement across spatial scales. This lack of consistency results in a lack of clear relationship between vaccination information and vaccine uptake. This work highlights the need for greater consistency in specific, easily accessed public health information from trusted sources.

Predictive Modeling of Vaccination Uptake in U.S. Counties: A Machine Learning-based Approach (Preprint)

2021 ◽  
Author(s):  
Queena Cheong ◽  
Martin Au-yeung ◽  
Stephanie Quon ◽  
Katsy Concepcion ◽  
Jude Dzevela Kong
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Predictive Modelling ◽  
Sociodemographic Factors ◽  
Vaccine Uptake ◽  
Vaccination Rates ◽  
Vaccination Uptake ◽  
Sociodemographic Data ◽  
Public Health Officials ◽  
The U.S

BACKGROUND While the COVID-19 pandemic has left an unprecedented impact globally, countries such as the United States of America have reported the most significant incidence of COVID-19 cases worldwide. Within the U.S., various sociodemographic factors have played an essential role in the creation of regional disparities. Regional disparities have resulted in the unequal spread of disease between U.S. counties, underscoring the need for efficient and accurate predictive modelling strategies to inform public health officials and reduce the burden on healthcare systems. Furthermore, despite the widespread accessibility of COVID-19 vaccines across the U.S., vaccination rates have become stagnant, necessitating predictive modelling to identify important factors impacting vaccination uptake. OBJECTIVE To determine the association between sociodemographic factors and vaccine uptake across counties in the U.S. METHODS Sociodemographic data on fully vaccinated and unvaccinated individuals were sourced from several online databases, such as the U.S. Centre for Disease Control and U.S. Census Bureau COVID-19 Site. Machine learning analysis was performed using XGBoost and sociodemographic data. RESULTS Our model predicted COVID-19 vaccination uptake across U.S. countries with 59% accuracy. In addition, it identified location, education, ethnicity, and income as the most critical sociodemographic features in predicting vaccination uptake in U.S. counties. Lastly, the model produced a choropleth demonstrating areas of low and high vaccination rates, which can be used by healthcare authorities in future pandemics to visualize and prioritize areas of low vaccination and design targeted vaccination campaigns. CONCLUSIONS Our study reveals that sociodemographic characteristics are predictors of vaccine uptake rate across counties in the U.S. and if leveraged appropriately can assist policy makers and public health officials to understand vaccine uptake rates and craft policies to improve them.

School Closure Decisions Made by Local Health Department Officials During the 2009 H1N1 Influenza Outbreak

2015 ◽  
Vol 9 (4) ◽  
pp. 464-471 ◽  
Author(s):  
Harvey Kayman ◽  
Sarah Salter ◽  
Maanvi Mittal ◽  
Winifred Scott ◽  
Nicholas Santos ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
H1n1 Influenza ◽  
School Closure ◽  
Local Public Health ◽  
Public Health Decision ◽  
Health Decision ◽  
Decision Making Processes ◽  
Public Health Officials ◽  
2009 H1n1

AbstractObjectivesThe goal of this study was to gain insights into the decision-making processes used by California public health officials during real-time crises. The decision-making processes used by California public health officials during the 2009 H1N1 influenza pandemic were examined by a survey research team from the University of California Berkeley.MethodsThe survey was administered to local public health officials in California. Guidelines published by the Centers for Disease Control and Prevention had recommended school closure, and local public health officials had to decide whether to follow these recommendations. Chi-squared tests were used to make comparisons in the descriptive statistics.ResultsThe response rate from local public health departments was 79%. A total of 73% of respondents were involved in the decision-making process. Respondents stated whether they used or did not use 15 ethical, logistical, and political preselected criteria. They expressed interest in receiving checklists and additional training in decision-making.ConclusionsPublic health decision-makers do not appear to have a standard process for crisis decision-making and would benefit from having an organized decision-making model. The survey showed that ethical, logistical, and political criteria were considered but were not prioritized in any meaningful way. A new decision-making tool kit for public health decision-makers plus implementation training is warranted. (Disaster Med Public Health Preparedness. 2015;9:464–471)

scholarly journals Achieving High Coverage of H1N1 Influenza Vaccine in an Ethnically Diverse Obstetric Population: Success of a Multifaceted Approach

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Kara K. Hoppe ◽  
Linda O. Eckert
Keyword(s):  
Vaccine Coverage ◽  
Ethnically Diverse ◽  
H1n1 Influenza ◽  
Vaccine Uptake ◽  
High Coverage ◽  
H1n1 Vaccine ◽  
Vaccine Acceptance ◽  
Multifaceted Approach ◽  
Acceptance Rates ◽  
Obstetric Population

Objective. To report on a multifaceted approach to increase uptake of the H1N1 vaccine in our ethnically diverse obstetrical population.Methods. A review of our obstetric clinic vaccine registry and the approaches used to increase vaccine uptake. We created a real-time vaccine registry, educated patients in their own language via educational videos and use of cultural case workers, facilitated patient appointments and transportation, educated staff, and used other interventions to enhance immunization uptake.Results. Within the first month of H1N1 availability, we vaccinated 120 of our total 157 obstetrics patients. Our overall coverage rate was 76% (number vaccinated/total number eligible.) Of the enrolled patients, the vaccine acceptance rates were similar in our English (59 (78%) of 76) versus non-English (59 (75%) of 79) speaking patients.Conclusions. High vaccine coverage is possible in an ethnically diverse, highly immigrant obstetrics population.

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