The impact of smoking cessation practitioners' smoking history, training and attitudes on self-reported quit rates

Natasha Anastasi, Joanne Lusher

Research output: Contribution to conferencePoster

Abstract

Smoking rates in England have fallen to their lowest rate in over eighty years1 despite this reduction, smoking remains UK’s biggest preventable cause of premature illness and mortality2. It has been acknowledged that specialist Stop Smoking support programmes have helped reduce smoking prevalence3. However, service uptake and quit rates vary dramatically particularly within London4. There has, been little research into the reasons for these variances. This study aimed to explore potential variables contributing to the variability and collated information on: advisor smoking status (historic and current), attitude towards smoking, and number of patients recruited onto the stop smoking programme, to assess what impact, if any, they had on clinical effectiveness. This study implemented a quantitative cross-sectional survey design, consisting of Stop Smoking advisors (n=159) from 24 London boroughs. A regression analysis was carried out using an ordinal logistic regression. It was found that proportion of time spent delivering stop smoking support was the only significant variable that positively impacted on self-reported quit rate with an odds ratio of 1.32 (95% CI, 0.78 to 0.48), Wald χ2 (1) = 45.816, p < 0.05. The regression model showed no significant impact of the other variables investigated. This study concludes that tobacco status - current or previous - is not shown to affect smoking cessation practitioner success rate. This result could help to encourage the ethos that smoking cessation advisors do not have to have been smokers in order to be effective at providing support and reinforces the need for specialist support services as previously suggested 5.
Original languageEnglish
Publication statusPublished - 2016
EventUK Nicotine and Smoking Cessation Conference 2016 - London
Duration: 9 Jun 201610 Jun 2016

Conference

ConferenceUK Nicotine and Smoking Cessation Conference 2016
CityLondon
Period9/06/1610/06/16

Fingerprint

Smoking Cessation
Smoking
History
England
Tobacco
Cross-Sectional Studies
Logistic Models
Odds Ratio
Regression Analysis
Research

Cite this

Anastasi, N., & Lusher, J. (2016). The impact of smoking cessation practitioners' smoking history, training and attitudes on self-reported quit rates. Poster session presented at UK Nicotine and Smoking Cessation Conference 2016, London, .
Anastasi, Natasha ; Lusher, Joanne. / The impact of smoking cessation practitioners' smoking history, training and attitudes on self-reported quit rates. Poster session presented at UK Nicotine and Smoking Cessation Conference 2016, London, .
@conference{5c36e15ba41c49b7a182d8ad3147d593,
title = "The impact of smoking cessation practitioners' smoking history, training and attitudes on self-reported quit rates",
abstract = "Smoking rates in England have fallen to their lowest rate in over eighty years1 despite this reduction, smoking remains UK{\^a}€™s biggest preventable cause of premature illness and mortality2. It has been acknowledged that specialist Stop Smoking support programmes have helped reduce smoking prevalence3. However, service uptake and quit rates vary dramatically particularly within London4. There has, been little research into the reasons for these variances. This study aimed to explore potential variables contributing to the variability and collated information on: advisor smoking status (historic and current), attitude towards smoking, and number of patients recruited onto the stop smoking programme, to assess what impact, if any, they had on clinical effectiveness. This study implemented a quantitative cross-sectional survey design, consisting of Stop Smoking advisors (n=159) from 24 London boroughs. A regression analysis was carried out using an ordinal logistic regression. It was found that proportion of time spent delivering stop smoking support was the only significant variable that positively impacted on self-reported quit rate with an odds ratio of 1.32 (95{\%} CI, 0.78 to 0.48), Wald {\"I}‡2 (1) = 45.816, p < 0.05. The regression model showed no significant impact of the other variables investigated. This study concludes that tobacco status - current or previous - is not shown to affect smoking cessation practitioner success rate. This result could help to encourage the ethos that smoking cessation advisors do not have to have been smokers in order to be effective at providing support and reinforces the need for specialist support services as previously suggested 5.",
author = "Natasha Anastasi and Joanne Lusher",
year = "2016",
language = "English",
note = "UK Nicotine and Smoking Cessation Conference 2016 ; Conference date: 09-06-2016 Through 10-06-2016",

}

Anastasi, N & Lusher, J 2016, 'The impact of smoking cessation practitioners' smoking history, training and attitudes on self-reported quit rates' UK Nicotine and Smoking Cessation Conference 2016, London, 9/06/16 - 10/06/16, .

The impact of smoking cessation practitioners' smoking history, training and attitudes on self-reported quit rates. / Anastasi, Natasha; Lusher, Joanne.

2016. Poster session presented at UK Nicotine and Smoking Cessation Conference 2016, London, .

Research output: Contribution to conferencePoster

TY - CONF

T1 - The impact of smoking cessation practitioners' smoking history, training and attitudes on self-reported quit rates

AU - Anastasi, Natasha

AU - Lusher, Joanne

PY - 2016

Y1 - 2016

N2 - Smoking rates in England have fallen to their lowest rate in over eighty years1 despite this reduction, smoking remains UK’s biggest preventable cause of premature illness and mortality2. It has been acknowledged that specialist Stop Smoking support programmes have helped reduce smoking prevalence3. However, service uptake and quit rates vary dramatically particularly within London4. There has, been little research into the reasons for these variances. This study aimed to explore potential variables contributing to the variability and collated information on: advisor smoking status (historic and current), attitude towards smoking, and number of patients recruited onto the stop smoking programme, to assess what impact, if any, they had on clinical effectiveness. This study implemented a quantitative cross-sectional survey design, consisting of Stop Smoking advisors (n=159) from 24 London boroughs. A regression analysis was carried out using an ordinal logistic regression. It was found that proportion of time spent delivering stop smoking support was the only significant variable that positively impacted on self-reported quit rate with an odds ratio of 1.32 (95% CI, 0.78 to 0.48), Wald χ2 (1) = 45.816, p < 0.05. The regression model showed no significant impact of the other variables investigated. This study concludes that tobacco status - current or previous - is not shown to affect smoking cessation practitioner success rate. This result could help to encourage the ethos that smoking cessation advisors do not have to have been smokers in order to be effective at providing support and reinforces the need for specialist support services as previously suggested 5.

AB - Smoking rates in England have fallen to their lowest rate in over eighty years1 despite this reduction, smoking remains UK’s biggest preventable cause of premature illness and mortality2. It has been acknowledged that specialist Stop Smoking support programmes have helped reduce smoking prevalence3. However, service uptake and quit rates vary dramatically particularly within London4. There has, been little research into the reasons for these variances. This study aimed to explore potential variables contributing to the variability and collated information on: advisor smoking status (historic and current), attitude towards smoking, and number of patients recruited onto the stop smoking programme, to assess what impact, if any, they had on clinical effectiveness. This study implemented a quantitative cross-sectional survey design, consisting of Stop Smoking advisors (n=159) from 24 London boroughs. A regression analysis was carried out using an ordinal logistic regression. It was found that proportion of time spent delivering stop smoking support was the only significant variable that positively impacted on self-reported quit rate with an odds ratio of 1.32 (95% CI, 0.78 to 0.48), Wald χ2 (1) = 45.816, p < 0.05. The regression model showed no significant impact of the other variables investigated. This study concludes that tobacco status - current or previous - is not shown to affect smoking cessation practitioner success rate. This result could help to encourage the ethos that smoking cessation advisors do not have to have been smokers in order to be effective at providing support and reinforces the need for specialist support services as previously suggested 5.

M3 - Poster

ER -

Anastasi N, Lusher J. The impact of smoking cessation practitioners' smoking history, training and attitudes on self-reported quit rates. 2016. Poster session presented at UK Nicotine and Smoking Cessation Conference 2016, London, .