scholarly journals Kaleidoscope

2017 ◽  
Vol 210 (4) ◽  
pp. 307-308 ◽  
Author(s):  
Derek K. Tracy ◽  
Dan W. Joyce ◽  
Sukhwinder S. Shergill

Quitting smoking isn't easy, even with the advent of e-cigarettes. The NHS Stop Smoking Services (SSSs) were established in 2000, and have shown superior results to nicotine replacement alone, but are characterised by low, and dropping, attendance rates. Beneath the highlight figure of a halving of UK smoking prevalence over the past 40 years lies a direct £6 billion cost to the NHS and 80000 deaths each year, as well as recent concern that clinical commissioning groups are not renewing service funding. Given that the ‘health belief model’ is based upon a trigger changing behaviour, what will encourage attendance at SSSs, especially with evidence that smokers underestimate their own personal risk? Gilbert et al randomised over 4000 smokers across almost 100 general practices to receive either a standard generic advertisement of the SSS clinic, or an individually tailored risk letter and invitation to a no-commitment introductory SSS session. The hosting general practitioners (GPs) and SSS advisors were masked to the allocation. The personalised letter more than doubled the odds of attending the SSS, showing that a more proactive approach can help engagement. Interestingly, the intervention was more effective with men, who are typically less likely to attend and set quit dates.

2019 ◽  
Vol 28 (19-20) ◽  
pp. 3430-3440
Author(s):  
I‐Hui Chen ◽  
Shih‐Min Hsu ◽  
Jiunn‐Shyan Julian Wu ◽  
Yu‐Tsang Wang ◽  
Yen‐Kuang Lin ◽  
...  

2020 ◽  
Vol 16 (9) ◽  
pp. 2204-2214 ◽  
Author(s):  
Li Ping Wong ◽  
Haridah Alias ◽  
Pooi-Fong Wong ◽  
Hai Yen Lee ◽  
Sazaly AbuBakar

2020 ◽  
Author(s):  
Liora Shmueli

AbstractBackgroundA novel coronavirus (COVID-19) was declared a global pandemic by the World Health Organization (WHO) in March, 2020. Until such time as a vaccine becomes available, it is important to identify the determining factors that influence the intention of the general public to accept a future COVID-19 vaccine. Consequently, we aim to explore behavioral-related factors predicting intention to receive COVID-19 vaccine among the general population using the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) model.MethodsAn online survey was conducted among adults aged 18 years and older from May 24 to June 24, 2020. The survey included socio-demographic and health-related questions, questions related to the HBM and TPB dimensions, and intention to receive COVID-19 vaccine. Associations between questionnaire variables and COVID-19 vaccination intention were assessed by univariate and multivariate analyses.ResultsEighty percent of 398 eligible respondents stated their willingness to receive COVID-19 vaccine. A unified model including HBM and TPB covariates as well as demographic and health-related factors, proved to be a powerful predictor of intention to receive COVID-19 vaccine, explaining 78% of the variance (adjusted R2 = 0.78). Men (OR=4.35, 95% CI 1.58–11.93), educated respondents (OR=3.54, 95% CI 1.44–8.67) and respondents who had received the seasonal influenza vaccine in the previous year (OR=3.31, 95% CI 1.22–9.00) stated higher intention to receive COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they reported higher levels of perceived benefits of COVID-19 vaccine (OR=4.49, 95% CI 2.79–7.22), of perceived severity of COVID-19 infection (OR=2.36, 95% CI 1.58–3.51) and of cues to action (OR=1.99, 95% CI 1.38–2.87), according to HBM, and if they reported higher levels of subjective norms (OR=3.04, 95% CI 2.15–4.30) and self-efficacy (OR=2.05, 95% CI 1.54–2.72) according to TPB. Although half of the respondents reported they had not received influenza vaccine last year, 40% of them intended to receive influenza vaccine in the coming winter and 66% of them intended to receive COVID-19 vaccine.ConclusionsProviding data on the public perspective and predicting intention for COVID-19 vaccination using HBM and TPB is important for health policy makers and healthcare providers and can help better guide compliance as the COVID-19 vaccine becomes available to the public.


Vaccines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 864
Author(s):  
Ilias Mahmud ◽  
Russell Kabir ◽  
Muhammad Aziz Rahman ◽  
Angi Alradie-Mohamed ◽  
Divya Vinnakota ◽  
...  

We examined the intention and predictors of accepting the COVID-19 vaccine in Saudi Arabia. We conducted a nation-wide, cross-sectional online survey between February and March 2021. A total of 1387 people (≥18 years) participated. Only 27.3% adults had a definite and 30.2% had a probable vaccination intent; 26.8% and 15.6% had a probable and definite negative vaccination intent. Older people (≥50 years) (p < 0.01), healthcare workers/professionals (p < 0.001), and those who received flu vaccine (p < 0.001) were more likely to have a positive intent. People from Riyadh were less likely to receive the vaccine (p < 0.05). Among the health belief model constructs, perceived susceptibility to and severity of COVID-19 (p < 0.001), and perceived benefit of the vaccine (p < 0.001) were positively associated with vaccination intent, whereas perceived barriers had a negative association (p < 0.001). Individuals were more likely to receive the vaccine after obtaining complete information (p < 0.001) and when the vaccine uptake would be more common amongst the public (p < 0.001).


2020 ◽  
pp. 1-10
Author(s):  
Alison Brown ◽  
Rachel Sutherland ◽  
Lisa Janssen ◽  
Nayerra Hudson ◽  
Amelia Chooi ◽  
...  

Abstract Objective: The aim of the study was to assess the impact of different lunchbox messages on parents’ intention to pack a healthy lunchbox. Design: This study employed an experimental design. Setting: A series of messages were developed to align with the six constructs of the Health Belief Model. Messages were also developed that were (and were not) personalised and varied based on the source of the information provided (university, school, dietitian and health promotion service). During a telephone survey, participants were read the content of each message and asked about their intention to pack a healthy lunchbox. Participants: Parents of primary school-aged children were randomised to receive different messages to encourage the packing of healthy lunchboxes. Results: The study was completed by 511 parents. Linear mixed regression analyses identified significant differences (P < 0·05) in intention scores between variant messages targeting the same behavioural constructs for ‘susceptibility’, ‘severity’, ‘benefits’ and ‘barriers’ but not ‘cues to action’ or ‘self-efficacy’. The highest mean behavioural intention score was for ‘benefits’, whilst the lowest mean score was for ‘barriers’. There were no significant differences in intention scores of parents receiving messages from a dietitian, university, health promotion team or school (P = 0·37). Intention scores did not differ in which messages were personalised based on child’s name (P = 0·84) or grade level (P = 0·54). Conclusions: The findings suggest that messages that focus on the benefits of packing healthy lunchboxes may be particularly useful in improving intentions of parents to pack healthy foods for their children to consume at school.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Liora Shmueli

Abstract Background This study aim to explore the intentions, motivators and barriers of the general public to vaccinate against COVID-19, using both the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) model. Methods An online survey was conducted among Israeli adults aged 18 years and older from May 24 to June 24, 2020. The survey included socio-demographic and health-related questions, questions related to HBM and TPB dimensions, and intention to receive a COVID-19 vaccine. Associations between questionnaire variables and COVID-19 vaccination intention were assessed by univariate and multivariate analyses. Results Eighty percent of 398 eligible respondents stated their willingness to receive COVID-19 vaccine. A unified model including HBM and TPB predictor variables as well as demographic and health-related factors, proved to be a powerful predictor of intention to receive COVID-19 vaccine, explaining 78% of the variance (adjusted R squared = 0.78). Men (OR = 4.35, 95% CI 1.58–11.93), educated respondents (OR = 3.54, 95% CI 1.44–8.67) and respondents who had received the seasonal influenza vaccine in the previous year (OR = 3.31, 95% CI 1.22–9.00) stated higher intention to receive COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they reported higher levels of perceived benefits of COVID-19 vaccine (OR = 4.49, 95% CI 2.79–7.22), of perceived severity of COVID-19 infection (OR = 2.36, 95% CI 1.58–3.51) and of cues to action (OR = 1.99, 95% CI 1.38–2.87), according to HBM, and if they reported higher levels of subjective norms (OR = 3.04, 95% CI 2.15–4.30) and self-efficacy (OR = 2.05, 95% CI 1.54–2.72) according to TPB. Although half of the respondents reported they had not received influenza vaccine last year, 40% of them intended to receive influenza vaccine in the coming winter and 66% of them intended to receive COVID-19 vaccine. Conclusions Providing data on the public perspective and predicting intention for COVID-19 vaccination using HBM and TPB is important for health policy makers and healthcare providers and can help better guide compliance as the COVID-19 vaccine becomes available to the public.


2021 ◽  
Vol 14 ◽  
pp. 117863292110601
Author(s):  
Pham Le An ◽  
Han Thi Ngoc Nguyen ◽  
Hop Thi Bich Dang ◽  
Quynh Ngoc Ho Huynh ◽  
Binh Duong Uyen Pham ◽  
...  

COVID-19 vaccines are put forward as the most promising solution for combatting the COVID-19 pandemic. This study aims to assess the willingness to get vaccinated against COVID-19 by using the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) as a theoretical framework. A self-administered questionnaire was considered among Vietnamese adult patients between March and May 2021. The dependent variable was a COVID-19 vaccine acceptance, the hierarchical multivariable regression was done to assess the fit of the predictor model and the associations of variables. A total of 462 participants completed the questionnaire, with 80.5% vaccination intention. A model containing demographics, as well as HBM and TPB variables, demonstrated to be a predictor of intention to receive a COVID-19 vaccine, interpreting 39% of the variance (adjusted R2 = 0.39). For HBM and TPB constructs, respondents were more likely to accept vaccination if they had higher level of cues to action, self-efficacy, and a lower level of the perceived barriers (all P < .001). The theoretical framework provided a predictor of intention to get a COVID-19 vaccine, which is important for elaborating intervention plans to ensure the success of conducting mass vaccination campaigns.


2012 ◽  
Vol 3 (2) ◽  
Author(s):  
Antoinette B. Coe ◽  
Sharon B.S. Gatewood ◽  
Leticia R. Moczygemba ◽  
Jean-Venable "Kelly" R. Goode

Objectives: 1) Assess participants' perceptions of severity, risk, and susceptibility to the novel H1N1 influenza virus and/or vaccine, vaccine benefits and barriers, and cues to action and 2) Identify predictors of participants' intention to receive the novel H1N1 vaccine. Design: Cross-sectional, descriptive study Setting: Local grocery store chain and university in the central Virginia area Participants: Convenience sample of adult college students and grocery store patrons Intervention: Participants filled out an anonymous, self-administered questionnaire based upon the Health Belief Model. Main Outcome Measures: Participants' predictors of intention to receive the novel H1N1 vaccine Results: A total of 664 participants completed a questionnaire. The majority of participants were aged 25-64 years old (66.9%). The majority were female (69.1%), Caucasian (73.7%), and felt at risk for getting sick from the virus (70.3%). Most disagreed that they would die from the virus (68.0%). Participants received novel H1N1 vaccine recommendations from their physicians (28.2%), pharmacists (20.7%), and nurses (16.1%). The majority intended to receive the H1N1 vaccine (58.1%). Participants were significantly more likely to intend to receive the H1N1 vaccine if they had lower scores on the perceived vaccine barriers domain (OR= 0.57, CI: 0.35-0.93). Physicians' recommendations (OR=0.26, CI: 0.11-0.62) and 2008 seasonal flu vaccination (OR=0.45, CI: 0.24-0.83) were significant predictors of intention to receive the H1N1 vaccine. Conclusions: Most participants felt at risk for getting the novel H1N1 virus and intended to receive the novel H1N1 vaccine. Educating patients about vaccine benefits and increasing healthcare professionals' vaccine recommendations may increase vaccination rates in future pandemics.   Type: Original Research


Sign in / Sign up

Export Citation Format

Share Document