ABSTRACT
BACKGROUND: The global effort to combat the COVID-19 pandemic highlights the pivotal role of vaccination in public health, particularly considering emerging severe acute respiratory syndrome-coronavirus-2 variants. While priority has been given to immunising vulnerable populations, children remain a significant unvaccinated group, prompting NHS England to include them in their new vaccination strategy. The role parents play in child healthcare decisions, specifically regarding COVID-19 vaccination, is crucial, and the Health Belief Model (HBM) provides a framework for understanding parental vaccination behaviour. METHODS: To investigate the predictors influencing parental decision-making for COVID-19 vaccination in children aged 5-11, an online cross-sectional survey was conducted amongst parents (n = 206) living in the UK aged > 18, with one or more children aged 5-11. The present study measured HBM constructs, demographic factors, vaccine hesitancy and vaccine decision-making self-efficacy. Binomial logistic regression was used to analyse the responses of 206 participants using the child vaccination status (vaccinated vs. unvaccinated) as the outcome variable. FINDINGS: The regression model significantly predicted child vaccination status, identifying perceived barriers, cues to action and parent age as significant predictors. Higher cues to action and older parent age increased the likelihood of child vaccination, while greater perceived barriers decreased it. The model achieved 80.8 % overall accuracy by correctly identifying 87.6 % of vaccinated cases and 69.4 % of unvaccinated cases, demonstrating high accuracy in predicting parental vaccination decisions. CONCLUSION: The present study contributes to our understanding of the factors shaping parental decision-making regarding COVID-19 child vaccination, highlighting the impact of perceived barriers, cues to action and parent age. Future public health campaigns should address the specific barriers faced by parents, emphasise external cues to action and tailor messaging to acknowledge age-related differences in parental vaccine decision-making. By addressing the aforementioned factors influencing parental behaviour regarding child vaccination, future interventions can increase the number of children vaccinated against COVID-19, preventing transmission, protecting from severe illness and contributing to the NHS vaccination strategy.
ABSTRACT
Adults with chronic pain interpret ambiguous information in a pain and illness related fashion. However, limitations have been highlighted with traditional experimental paradigms used to measure interpretation biases. Whilst ambiguous scenarios have been developed to measure interpretation biases in adolescents with pain, no scenario sets exist for use with adults. Therefore, the present study: (i) sought to validate a range of ambiguous scenarios suitable for measuring interpretation biases in adults, whilst also allowing for two response formats (forced-choice and free response); and (ii) investigate paradigm efficacy, by assessing the effects of recent pain experiences on task responding. A novel ambiguous scenarios task was administered to adults (N = 241). Participants were presented with 62 ambiguous scenarios comprising 42 that could be interpreted in a pain/pain-illness or non-pain/non-pain illness manner: and 20 control scenarios. Participants generated their own solutions to each scenario (Word Generation Task), then rated how likely they would be to use two researcher-generated solutions to complete each scenario (Likelihood Ratings Task). Participants also rated their subjective experiences of pain in the last 3 months. Tests of reliability, including inter-rater agreement and internal consistency, produced two ambiguous scenario stimulus sets containing 18 and 20 scenarios, respectively. Further analyses revealed adults who reported more recent pain experiences were more likely to endorse the pain/pain-illness solutions in the Likelihood Ratings Task. This study provides two new stimulus sets for use with adults (including control items) in pain research and/or interventions. Results also provide evidence for a negative endorsement bias in adults.