scholarly journals Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hossein Azarpanah ◽  
Mohsen Farhadloo ◽  
Rustam Vahidov ◽  
Louise Pilote
Keyword(s):  
Decision Making ◽  
Adverse Events ◽  
Cognitive Biases ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
Decision Making Process ◽  
Evidence Based ◽  
Vaccine Acceptance ◽  
Vaccination Decision ◽  
Vaccine Information

Abstract Background Vaccine hesitancy has been a growing challenge for public health in recent decades. Among factors contributing to vaccine hesitancy, concerns regarding vaccine safety and Adverse Events (AEs) play the leading role. Moreover, cognitive biases are critical in connecting such concerns to vaccine hesitancy behaviors, but their role has not been comprehensively studied. In this study, our first objective is to address concerns regarding vaccine AEs to increase vaccine acceptance. Our second objective is to identify the potential cognitive biases connecting vaccine hesitancy concerns to vaccine-hesitant behaviors and identify the mechanism they get triggered in the vaccine decision-making process. Methods First, to mitigate concerns regarding AEs, we quantitatively analyzed the U.S. Vaccine Adverse Event Reporting System (VAERS) from 2011 to 2018 and provided evidence regarding the non-severity of the AEs that can be used as a communicable summary to increase vaccine acceptance. Second, we focused on the vaccination decision-making process. We reviewed cognitive biases and vaccine hesitancy literature to identify the most potential cognitive biases that affect vaccine hesitancy and categorized them adopting the Precaution Adoption Process Model (PAPM). Results Our results show that the top frequent AEs are expected mild reactions like injection site erythema (4.29%), pyrexia (3.66%), and injection site swelling (3.21%). 94.5% of the reports are not serious and the average population-based serious reporting rate over the 8 years was 25.3 reports per 1 million population. We also identified 15 potential cognitive biases that might affect people’s vaccination decision-making and nudge them toward vaccine hesitancy. We categorized these biases based on the factors that trigger them and discussed how they contribute to vaccine hesitancy. Conclusions This paper provided an evidence-based communicable summary of VAERS. As the most trusted sources of vaccine information, health practitioners can use this summary to provide evidence-based vaccine information to vaccine decision-makers (patients/parents) and mitigate concerns over vaccine safety and AEs. In addition, we identified 15 potential cognitive biases that might affect the vaccination decision-making process and nudge people toward vaccine hesitancy. Any plan, intervention, and message to increase vaccination uptake should be modified to decrease the effect of these potential cognitive biases.

scholarly journals Confidence, Acceptance and Willingness to Pay for the COVID-19 Vaccine among Migrants in Shanghai, China: A Cross-Sectional Study

Vaccines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 443
Author(s):  
Kaiyi Han ◽  
Mark R. Francis ◽  
Ruiyun Zhang ◽  
Qian Wang ◽  
Aichen Xia ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Migrant Workers ◽  
Vaccine Safety ◽  
Cross Sectional Study ◽  
Vaccine Hesitancy ◽  
Sectional Study ◽  
Cross Sectional ◽  
Vaccine Acceptance ◽  
Vaccine Information ◽  
Socio Demographic Factors

Understanding the public’s attitude towards COVID-19 vaccination and their acceptance could help facilitate the COVID-19 rollout. This study aimed to assess the acceptance and willingness to pay (WTP) for the COVID-19 vaccine among migrants in Shanghai, China. A cross-sectional study was conducted among 2126 migrants in Shanghai for the period 1–20 November 2020. Convenience sampling was used to recruit respondents in workplaces with large numbers of migrant workers. Multivariable (ordered) logistic regressions were used to examine factors associated with acceptance and WTP of the COVID-19 vaccine. Most (89.1%) migrants would accept COVID-19 vaccination. Over 90.0% perceived the COVID-19 vaccine as important, while only 75.0% and 77.7% perceived vaccines safe and effective. Socio-demographic factors were not significantly associated with vaccine acceptance, but confidence in the importance (OR 8.71, 95% CI 5.89–12.89), safety (OR 1.80, 95% CI 1.24–2.61) and effectiveness (OR 2.66, 95% CI 1.83–3.87) of COVID-19 vaccine was significantly positively associated with vaccine acceptance. The top reasons for vaccine hesitancy were lack of vaccine information and confidence. The proportion of those definitely willing to get the COVID-19 vaccine was 20% lower if paid by themselves than free vaccination. Migrants were willing to pay a median amount of USD 46 for the COVID-19 vaccine. Results show that a high acceptance of the COVID-19 vaccine was universal among migrants in Shanghai. Concerns about vaccine safety, effectiveness and high costs of the COVID-19 vaccine may hinder their uptake. Effective health communication to build confidence in the COVID-19 vaccine and subsidies toward the costs of these vaccines are needed to improve uptake.

scholarly journals COVID-19 Anti-Vaccine Sentiments: Analyses of Comments from Social Media

Healthcare ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1530
Author(s):  
Li Ping Wong ◽  
Yulan Lin ◽  
Haridah Alias ◽  
Sazaly Abu Bakar ◽  
Qinjian Zhao ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
Long Term Effects ◽  
The Public ◽  
Public Health Messages ◽  
Vaccination Decision ◽  
Duration Of Protection

Purpose: This study analyzed the insights and sentiments of COVID-19 anti-vaccine comments from Instagram feeds and Facebook postings. The sentiments related to the acceptance and effectiveness of the vaccines that were on the verge of being made available to the public. Patients and methods: The qualitative software QSR-NVivo 10 was used to manage, code, and analyse the data. Results: The analyses uncovered several major issues concerning COVID-19 vaccine hesitancy. The production of the COVID-19 vaccine at an unprecedented speed evoked the fear of skipping steps that would compromise vaccine safety. The unknown long-term effects and duration of protection erode confidence in taking the vaccines. There were also persistent concerns with regard to vaccine compositions that could be harmful or contain aborted foetal cells. The rate of COVID-19 death was viewed as low. Many interpreted the 95% effectiveness of the COVID-19 vaccine as insufficient. Preference for immunity gains from having an infection was viewed as more effective. Peer-reviewed publication-based data were favoured as a source of trust in vaccination decision-making. Conclusions: The anti-COVID-19 vaccine sentiments found in this study provide important insights for the formulation of public health messages to instill confidence in the vaccines.

scholarly journals Faster than warp speed: early attention to COVD-19 by anti-vaccine groups on Facebook

2021 ◽  
Author(s):  
Seth C Kalichman ◽  
Lisa A Eaton ◽  
Valerie A Earnshaw ◽  
Natalie Brousseau
Keyword(s):  
Social Media ◽  
Vaccine Development ◽  
Rapid Development ◽  
Development Program ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
Conspiracy Theories ◽  
The Us ◽  
Us Government ◽  
Vaccine Information

Abstract Background The unprecedented rapid development of COVID-19 vaccines has faced SARS-CoV- (COVID-19) vaccine hesitancy, which is partially fueled by the misinformation and conspiracy theories propagated by anti-vaccine groups on social media. Research is needed to better understand the early COVID-19 anti-vaccine activities on social media. Methods This study chronicles the social media posts concerning COVID-19 and COVID-19 vaccines by leading anti-vaccine groups (Dr Tenpenny on Vaccines, the National Vaccine Information Center [NVIC] the Vaccination Information Network [VINE]) and Vaccine Machine in the early months of the COVID-19 pandemic (February–May 2020). Results Analysis of 2060 Facebook posts showed that anti-vaccine groups were discussing COVID-19 in the first week of February 2020 and were specifically discussing COVID-19 vaccines by mid-February 2020. COVID-19 posts by NVIC were more widely disseminated and showed greater influence than non-COVID-19 posts. Early COVID-19 posts concerned mistrust of vaccine safety and conspiracy theories. Conclusion Major anti-vaccine groups were sowing seeds of doubt on Facebook weeks before the US government launched its vaccine development program ‘Operation Warp Speed’. Early anti-vaccine misinformation campaigns outpaced public health messaging and hampered the rollout of COVID-19 vaccines.

scholarly journals Real-World Acceptance of COVID-19 Vaccines among Healthcare Workers in Perinatal Medicine in China

Vaccines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 704
Author(s):  
Biyun Xu ◽  
Xuelian Gao ◽  
Xinyue Zhang ◽  
Yali Hu ◽  
Huixia Yang ◽  
...  
Keyword(s):  
General Population ◽  
Real World ◽  
Healthcare Workers ◽  
Vaccine Safety ◽  
Vaccine Hesitancy ◽  
Present Survey ◽  
Perinatal Medicine ◽  
Vaccine Acceptance ◽  
Questionnaire Online ◽  
Convincing Data

Surveys showed that vaccine hesitancy may influence the acceptance of COVID-19 vaccines in healthcare workers (HCWs) and the general population. Currently, the actual acceptance of COVID-19 vaccination in HCWs has rarely been reported. In the present survey, we investigated the real-world acceptance of COVID-19 vaccination in HCWs in perinatal medicine during the first three-month period of vaccination in China and to identify the main reason for the decline of vaccination. HCWs (1087) who participated in a Chinese national symposium on perinatal medicine during 16–18 April 2021 were invited to answer a 27-question questionnaire online. A total of 1051 HCWs completed the questionnaire. Of them, 86.2% (906/1051) accepted the COVID-19 vaccination and 13.8% (145/1051) declined the vaccination. Because of the vaccine hesitancy, one-fourth of the vaccinated participants did not accept the vaccination until consulted with others or requested by employers. The main reason for the decline of vaccination in 145 unvaccinated HCWs was the concern about vaccine safety. The results indicate that vaccination request by employers may promote vaccine acceptance. More convincing data on the safety of COVID-19 vaccines appears to be important to increase the acceptance of vaccination.

scholarly journals Could clustering of comorbidities be useful for better defining the internal medicine patients’ complexity?

2018 ◽  
Vol 12 (2) ◽  
pp. 137 ◽  
Author(s):  
Flavio Tangianu ◽  
Paola Gnerre ◽  
Fabrizio Colombo ◽  
Roberto Frediani ◽  
Giuliano Pinna ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Decision Making ◽  
Cluster Analysis ◽  
Adverse Events ◽  
Decision Making Process ◽  
High Similarity ◽  
High Prevalence ◽  
Clinical Problems ◽  
Index Disease ◽  
Improve Health

Internal medicine patients are mostly elderly with multiple comorbidities, usually chronic. The high prevalence of comorbidity and multimorbidity has a significant impact on both positive responses to treatment and the occurrence of adverse events. Clustering is the process of nosography grouping into meaningful associations with some index disease, so that the objects within a cluster have high similarity in comparison with one another. In the decision-making process it is imperative that, in addition to understanding the immediate clinical problems, we are able to explicit all the contextual factors that have to be taken into account for the best outcome of care. Cluster analysis could be leveraged in developing better interventions targeted to improve health outcomes in subgroups of patients.

Improving the evidence-based clinical decision-making process: Interactive classification and topic discovery on diabetes-related biomedical literature (Preprint)

2021 ◽  
Author(s):  
Adrian Ahne ◽  
Guy Fagherazzi ◽  
Xavier Tannier ◽  
Thomas Czernichow ◽  
Francisco Orchard
Keyword(s):  
Decision Making ◽  
Active Learning ◽  
Hierarchical Clustering ◽  
Domain Knowledge ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Biomedical Literature ◽  
Decision Making Process ◽  
Evidence Based ◽  
Text Data

BACKGROUND The amount of available textual health data such as scientific and biomedical literature is constantly growing and it becomes more and more challenging for health professionals to properly summarise those data and in consequence to practice evidence-based clinical decision making. Moreover, the exploration of large unstructured health text data is very challenging for non experts due to limited time, resources and skills. Current tools to explore text data lack ease of use, need high computation efforts and have difficulties to incorporate domain knowledge and focus on topics of interest. OBJECTIVE We developed a methodology which is able to explore and target topics of interest via an interactive user interface for experts and non-experts. We aim to reach near state of the art performance, while reducing memory consumption, increasing scalability and minimizing user interaction effort to improve the clinical decision making process. The performance is evaluated on diabetes-related abstracts from Pubmed. METHODS The methodology consists of four parts: 1) A novel interpretable hierarchical clustering of documents where each node is defined by headwords (describe documents in this node the most); 2) An efficient classification system to target topics; 3) Minimized users interaction effort through active learning; 4) A visual user interface through which a user interacts. We evaluated our approach on 50,911 diabetes-related abstracts from Pubmed which provide a hierarchical Medical Subject Headings (MeSH) structure, a unique identifier for a topic. Hierarchical clustering performance was compared against the implementation in the machine learning library scikit-learn. On a subset of 2000 randomly chosen diabetes abstracts, our active learning strategy was compared against three other strategies: random selection of training instances, uncertainty sampling which chooses instances the model is most uncertain about and an expected gradient length strategy based on convolutional neural networks (CNN). RESULTS For the hierarchical clustering performance, we achieved a F1-Score of 0.73 compared to scikit-learn’s of 0.76. Concerning active learning performance, after 200 chosen training samples based on these strategies, the weighted F1-Score over all MeSH codes resulted in satisfying 0.62 F1-Score of our approach, compared to 0.61 of the uncertainty strategy, 0.61 the CNN and 0.45 the random strategy. Moreover, our methodology showed a constant low memory use with increased number of documents but increased execution time. CONCLUSIONS We proposed an easy to use tool for experts and non-experts being able to combine domain knowledge with topic exploration and target specific topics of interest while improving transparency. Furthermore our approach is very memory efficient and highly parallelizable making it interesting for large Big Data sets. This approach can be used by health professionals to rapidly get deep insights into biomedical literature to ultimately improve the evidence-based clinical decision making process.

Cognitive Biases in Decision Making in Post-Bureaucratic Organizations

2017 ◽  
pp. 358-382
Author(s):  
Marie-Therese Claes ◽  
Thibault Jacquemin
Keyword(s):  
Decision Making ◽  
Behavioral Economics ◽  
Cognitive Biases ◽  
Rational Choice Theory ◽  
Choice Theory ◽  
Decision Making Process ◽  
Rational Decision ◽  
Bureaucratic Organization ◽  
System 2 ◽  
System 1

In today's post-bureaucratic organization, where decision-making is decentralized, most managers are confronted with highly complex situations where time-constraint and availability of information makes the decision-making process essential. Studies show that a great amount of decisions are not taken after a rational decision-making process but rather rely on instinct, emotion or quickly processed information. After briefly describing the journey of thoughts from Rational Choice Theory to the emergence of Behavioral Economics, this chapter will elaborate on the mechanisms that are at play in decision-making in an attempt to understand the root causes of cognitive biases, using the theory of Kahneman's (2011) System 1 and System 2. It will discuss the linkage between the complexity of decision-making and post-bureaucratic organization.

Facilitating Lifestyle Choice and Change

2014 ◽  
pp. 137-147
Author(s):  
Judith Aufenthie
Keyword(s):  
Decision Making ◽  
Well Being ◽  
Decision Making Process ◽  
Evidence Based ◽  
Lifestyle Choice ◽  
Complex Process

Creating optimal well being is a multifaceted, complex process. It involves many biological, psychological, physical, behavioral, emotional as well as neurobiological factors which all interact and effect the choices we make and changes that we are able to implement. Research has begun to connect with the decision making process to better understand how our decisions and choices are made. This research coupled with research and evidence based models provides integrative nurses and patients with validated tools to optimize change and wellness.

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