Cited by 435Risk Perception and ManagementVaccine Coverage and HesitancyInfluenza Virus Research Studies

The impact of communications about swine flu (influenza A H1N1v) on public responses to the outbreak: results from 36 national telephone surveys in the UK

Open access
Rubin, GJ, Potts, HWW, Michie, S·2010·Health Technology Assessment

Abstract

OBJECTIVES: To assess the association between levels of worry about the possibility of catching swine flu and the volume of media reporting about it; the role of psychological factors in predicting likely uptake of the swine flu vaccine; and the role of media coverage and advertising in predicting other swine flu-related behaviours. DESIGN: Data from a series of random-digit-dial telephone surveys were analysed. A time series analysis tested the association between levels of worry and the volume of media reporting on the start day of each survey. Cross-sectional regression analyses assessed the relationships between likely vaccine uptake or behaviour and predictor variables. SETTING: Thirty-six surveys were run at, on average, weekly intervals across the UK between 1 May 2009 and 10 January 2010. Five surveys (run between 14 August and 13 September) were used to assess likely vaccine uptake. Five surveys (1-17 May) provided data relating to other behaviours. PARTICIPANTS: Between 1047 and 1173 people aged 16 years or over took part in each survey: 5175 participants provided data about their likely uptake of the swine flu vaccine; 5419 participants provided data relating to other behaviours. MAIN OUTCOME MEASURES: All participants were asked to state how worried they were about the possibility of personally catching swine flu. Subsets were asked how likely they were to take up a swine flu vaccination if offered it and whether they had recently carried tissues with them, bought sanitising hand gel, avoided using public transport or had been to see a general practitioner, visited a hospital or called NHS Direct for a flu-related reason. RESULTS: The percentage of 'very' or 'fairly' worried participants fluctuated between 9.6% and 32.9%. This figure was associated with the volume of media reporting, even after adjusting for the changing severity of the outbreak [chi2(1) = 6.6, p = 0.010, coefficient for log-transformed data = 2.6]. However, this effect only occurred during the UK's first summer wave of swine flu. In total, 56.1% of respondents were very or fairly likely to accept the swine flu vaccine. The strongest predictors were being very worried about the possibility of oneself [adjusted odds ratio (aOR) 4.7, 95% confidence interval (CI) 3.2 to 7.0] or one's child (aOR 8.0, 95% CI 4.6 to 13.9) catching swine flu. Overall, 33.1% of participants reporting carrying tissues with them, 9.5% had bought sanitising gel, 2.0% had avoided public transport and 1.6% had sought medical advice. Exposure to media coverage or advertising about swine flu increased tissue carrying or buying of sanitising hand gel, and reduced avoidance of public transport or consultation with health services during early May 2009. Path analyses showed that media coverage and advertising had these differential effects because they raised the perceived efficacy of hygiene behaviours but decreased the perceived efficacy of avoidance behaviours. CONCLUSIONS: During the swine flu outbreak, uptake rates for protective behaviours and likely acceptance rates for vaccination were low. One reason for this may in part be explained by was the low level of public worry about the possibility of catching swine flu. When levels of worry are generally low, acting to increase the volume of mass media and advertising coverage is likely to increase the perceived efficacy of recommended behaviours, which, in turn, is likely to increase their uptake.

Integrity signals

Registry

Crossref · 10.3310/hta14340-03

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Rubin, G., Potts, H., & Michie, S.
Affiliations
  • King’s College London, Institute of Psychiatry, Department of Psychological Medicine, London, UK
  • University College London (GB)
Venue
Health Technology Assessment
Published
2010-07
Volume
14
Issue
34
Pages
183-266
ISSN
  • 1366-5278 (ISSN-L)
  • 2046-4924
OpenAlex
W2010210330
Cited by
435
References
0
Citations by year
2026: 1 · 2025: 10 · 2024: 10 · 2023: 31 · 2022: 62 · 2021: 115 · 2020: 84 · 2019: 11 · 2018: 4 · 2017: 9 · 2016: 15 · 2015: 11 · 2014: 13 · 2013: 14 · 2012: 19
FWCI
60.93
Type
journal article
Language
en
Open access
Locations
  • Health Technology Assessment (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion)
Funders
Health Technology Assessment programme (09/84/98)
Topics
  • Social Sciences › Sociology and Political Science › Risk Perception and Management
  • Social Sciences › Health › Vaccine Coverage and Hesitancy
  • Health Sciences › Medicine › Epidemiology › Influenza Virus Research Studies
Keywords
swine influenza, H1N1 influenza, media coverage, vaccine uptake, health communication, health behavior, psychological factors, NHS Direct, outbreak response, public health communication, risk perception, general practitioner visits, hospital visits
MeSH terms
Adolescent, Adult, Aged, Communications Media, Cross-Sectional Studies, Disease Outbreaks, Female, United Kingdom, Humans, Influenza, Human, Influenza Vaccines, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Patient Acceptance of Health Care, Regression Analysis, Self Efficacy, Influenza A Virus, H1N1 Subtype, Consumer Health Information, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review