Dataset Information

Seasonal Influenza Vaccination amongst Medical Students: A Social Network Analysis Based on a Cross-Sectional Study.

ABSTRACT: The Chief Medical Officer for England recommends that healthcare workers have a seasonal influenza vaccination in an attempt to protect both patients and NHS staff. Despite this, many healthcare workers do not have a seasonal influenza vaccination. Social network analysis is a well-established research approach that looks at individuals in the context of their social connections. We examine the effects of social networks on influenza vaccination decision and disease dynamics.We used a social network analysis approach to look at vaccination distribution within the network of the Lancaster Medical School students and combined these data with the students' beliefs about vaccination behaviours. We then developed a model which simulated influenza outbreaks to study the effects of preferentially vaccinating individuals within this network.Of the 253 eligible students, 217 (86%) provided relational data, and 65% of responders had received a seasonal influenza vaccination. Students who were vaccinated were more likely to think other medical students were vaccinated. However, there was no clustering of vaccinated individuals within the medical student social network. The influenza simulation model demonstrated that vaccination of well-connected individuals may have a disproportional effect on disease dynamics.This medical student population exhibited vaccination coverage levels similar to those seen in other healthcare groups but below recommendations. However, in this population, a lack of vaccination clustering might provide natural protection from influenza outbreaks. An individual student's perception of the vaccination coverage amongst their peers appears to correlate with their own decision to vaccinate, but the directionality of this relationship is not clear. When looking at the spread of disease within a population it is important to include social structures alongside vaccination data. Social networks influence disease epidemiology and vaccination campaigns designed with information from social networks could be a future target for policy makers.

SUBMITTER: Edge R

PROVIDER: S-EPMC4599893 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Seasonal Influenza Vaccination amongst Medical Students: A Social Network Analysis Based on a Cross-Sectional Study.

Edge Rhiannon R Heath Joseph J Rowlingson Barry B Keegan Thomas J TJ Isba Rachel R

PloS one 20151009 10

<h4>Introduction</h4>The Chief Medical Officer for England recommends that healthcare workers have a seasonal influenza vaccination in an attempt to protect both patients and NHS staff. Despite this, many healthcare workers do not have a seasonal influenza vaccination. Social network analysis is a well-established research approach that looks at individuals in the context of their social connections. We examine the effects of social networks on influenza vaccination decision and disease dynamics ...[more]

PMID: 26452223

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Project description:BackgroundAs most countries, Switzerland is experiencing a shortage of physicians especially in general practice and new medical education tracks with respective focusses have been started in response. This study investigated Swiss medical students' career openness and attractiveness of different medical disciplines as well as the concordance of students' career intentions with assigned medical education tracks.MethodsCross-sectional study surveying first year medical students assigned to four different Swiss medical education tracks with distinctive additional education focuses (ETH Zurich: medical technology and engineering, University of St. Gallen and University of Lucerne: primary healthcare and University of Zurich: no distinctive focus).ResultsWe surveyed 354 medical students (response rate across all included medical education tracks 71.1%), 64.8% female, mean age 20 years. Regarding career openness, we found that 52.8% of medical students had neither a strong commitment nor a strong reservation for any of the proposed career options and 17.0% had a strong commitment. Among medical disciplines, medical subspecialties were attractive to the largest part of students (inpatient subspecialties attractive for 71%, outpatient for 58%), attractiveness of general practice was moderate (30%), academic (22%) and industrial sector (17%) careers were least attractive. Proportions of medical students attracted to general practice were similar at medical education tracks with focus on primary healthcare compared to other medical education tracks (32.2% vs. 25.8%, p = 0.391). Conversely, proportions of medical students attracted to academic or industry careers were significantly higher at the ETH Zurich compared to other medical education tracks (37.2%, vs. 13.1%, p < 0.001 and 31.9%, vs. 8.8%, p < 0.001 respectively).ConclusionWhile most first-year medical students were open to careers in many medical disciplines, attractiveness of disciplines varied strongly. Students attracted to academic or industrial careers accumulated at the medical education track with concordant teaching focus but students attracted to general practice did not accumulate at medical education tracks focused on primary healthcare. For medical education tracks with primary care teaching focus this is both a challenge and an opportunity to specifically counteract the shortage of general practitioners in Switzerland.

Project description:BackgroundIn 2015 meningococcal group W was declared endemic in the UK, with the meningococcal ACWY vaccination (MenACWY) subsequently introduced amongst adolescents and first-year university students. This study aimed to determine MenACWY uptake amongst students and to evaluate how this was influenced by demographics and via the Health Belief Model (HBM).MethodsThis was a cross-sectional study conducted at a British university amongst first-year undergraduate students aged 18-25 years. Data collection was via an electronic questionnaire encompassing demographics, the HBM and vaccination status. Univariable analysis of the associations between demographics, health beliefs and vaccination was performed, followed by multiple logistic regression.Results401 participants were included in analysis. Vaccine uptake was 68.1%. Variables independently associated with vaccination upon multiple regression were age, gap-year, perceived effectiveness of the vaccine and knowledge about risk of meningitis. Compared to 18 year-olds, the odds of vaccination were reduced for 19 year-olds (aOR = 0.087, 95% CI = 0.010-0.729), 20 year-olds (aOR = 0.019, 95% CI = 0.002-0.161) and 21-25 year-olds (aOR = 0.003, 95% CI = <0.001-0.027). In contrast, taking a gap year (aOR = 2.939, 95% CI = 1.329-6.501), higher perceived vaccine effectiveness (aOR = 3.555, 95% CI = 1.787-7.073) and knowledge about meningitis risk (aOR = 2.481, 95% CI = 1.165-5.287) were independently associated with increased uptake.ConclusionsMenACWY uptake amongst students in this study and in other sources is above the national coverage for all adolescents (35.3%), indicating that this vaccination programme may be increasing health inequalities. Older students are less likely to become vaccinated due to differing vaccination policy in this age-group. In future, strategies that focus on specific student cohorts and that highlight vaccine effectiveness and the risk of meningitis should be considered. National evaluation of this vaccination programme is recommended to clarify its impact on health inequalities.

Project description:BackgroundVaccines are one of the most important achievements of modern medicine. However, their acceptance is only partial, with vaccine hesitancy and refusal representing a major health threat. Influenza vaccines have low compliance since repeated, annual vaccination is required. Influenza vaccines stimulate discussions both in the real world and online. Social media is currently a significant source of health and medical information. Elucidating the association between social media engagement and influenza vaccination is important and may be applicable to other vaccines, including ones against COVID-19.ObjectiveThe goal of this study is to characterize profiles of social media engagement regarding the influenza vaccine and their association with knowledge and compliance in order to support improvement of future web-associated vaccination campaigns.MethodsA weblink to an online survey in Hebrew was disseminated over social media and messaging platforms. The survey answers were collected during April 2020. Anonymous and volunteer participants aged 21 years and over answered 30 questions related to sociodemographics; social media usage; influenza- and vaccine-related knowledge and behavior; health-related information searching, its reliability, and its influence; and COVID-19-related information searching. A univariate descriptive data analysis was performed, followed by multivariate analysis via building a decision tree to define the most important attributes associated with vaccination compliance.ResultsA total of 213 subjects responded to the survey, of whom 207 were included in the analysis; the majority of the respondents were female, were aged 21 to 40 years, had 1 to 2 children, lived in central Israel, were secular Israeli natives, had higher education, and had a salary close to the national average. Most respondents (128/207, 61.8%) were not vaccinated against influenza in 2019 and used social media. Participants that used social media were younger, secular, and living in high-density agglomerations and had lower influenza vaccination rates. The perceived influence and reliability of the information on social media about COVID-19 were generally similar to those perceptions about influenza.ConclusionsUsing social media is negatively linked to compliance with seasonal influenza vaccination in this study. A high proportion of noncompliant individuals can lead to increased consumption of health care services and can, therefore, overload these health services. This is particularly crucial with a concomitant outbreak, such as COVID-19. Health care professionals should use improved and targeted health communication campaigns with the aid of experts in social media. Targeted communication, based on sociodemographic factors and personalized social media usage, might increase influenza vaccination rates and compliance with other vaccines as well.

Dataset Information

Seasonal Influenza Vaccination amongst Medical Students: A Social Network Analysis Based on a Cross-Sectional Study.

Publications

Seasonal Influenza Vaccination amongst Medical Students: A Social Network Analysis Based on a Cross-Sectional Study.

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