About the app

How to quit

About the app

How to quit

Look at your time smoke free, the money you’ve saved or the health improvements you’ve made if ever you need a boost.

Lean on the advisors or other quitters in the chat. Try the tips, follow the advice. Using help isn’t cheating – it’s smart.

Check-in with the chatbot or do a mission every day for at least the first month. Commit to this quit, keep doing things for it.

Make sure you’ve added your motivation for quitting so it’s close to hand if ever you need a reminder.

Add a treat to buy yourself with the money you’re saving. It’s a great way of making the benefits of quitting feel real.

Any questions about quitting of the app come to the chatroom or email, we love to help.

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Smoke free for 8 months!!

I’ve not had a single puff for 8 months after being a smoker for 22 years! And this app has made all the difference.

Gnomig

How the app works

The reason it’s so hard to stop smoking is because EVERY craving needs to be resisted and nobody feels strong all the time.

It’s why the app focusses on giving you feedback about progress. Seeing progress keeps us going when things get tough.

Changing our identity really helps. Non-smokers don’t think about smoking. It’s just not who they are or what they do.

The best way to change your identity is to feel proud of the new non-smoking you. Which is what the app will help you to do.

Lapsing isn’t failing. It’s a really normal and important part of the process of changing a deeply held habit.

We are totally non-judgemental about relapse. We’ll help you learn from the experience and get back on track in a better place.

So many features

Group support. Gamified with merit badges. Health improvements. Financial impact of quitting. Very professionally laid out. Beast of an app.

Andrew

Featured Publications

more likely to quit with the missions

more likely to quit with the missions and chatbot

57%

of users quit for four weeks, 47% for 12 weeks

Other publications

The pace of technologic change: Implications for digital health behavior intervention research

Understanding and promoting effective engagement with digital behavior change interventions

Which self-regulation behaviour change techniques work in an alcohol reduction app? – – – Randomised control trial

How to build an alcohol reduction app – – – PhD thesis

The behavior change techniques used in alcohol reduction apps – – – Content analysis

What users think might increase usability in an alcohol reduction app – – – Think aloud and interview studies

Do digital interventions for alcohol reduction workin general? – – – Cochrane review

How an app for pregnant smokers was built – – – Process study

How to identify what behaviour change techniques should be included in an alcohol reduction app – – – Delphi study

Which behaviour change techniques are used in digital alcohol interventions – – – Meta-regression

Scientific influences

West, R. (2007). The PRIME theory of motivation as a possible foundation for the treatment of addiction. In: J. E. Henningfield, P. B. Santora, & W. K. Bickel (Eds.), Addiction treatment: Science and policy for the twenty-first century (pp. 24–34). Johns Hopkins University Press. https://doi.org/10.56021/9780801886690

Rothman, A. J. (2000). Toward a theory-based analysis of behavioral maintenance. Health Psychology, 19(1, Suppl.), 64–69. https://doi.org/10.1037/0278-6133.19.Suppl1.64

Michie, S., Hyder, N., Walia, A., & West, R. (2011). Development of a taxonomy of behaviour change techniques used in individual behavioural support for smoking cessation. Addictive Behaviors, 36(4), 315–319. https://doi.org/10.1016/j.addbeh.2010.11.016

Abroms, L. C., Padmanabhan, N., Thaweethai, L., & Phillips, T. (2011). iPhone apps for smoking cessation: A content analysis. American Journal of Preventive Medicine, 40(3), 279–285. https://doi.org/10.1016/j.amepre.2010.10.032

Borland, R., Yong, H. H., O’Connor, R. J., Hyland, A., & Thompson, M. E. (2010). The reliability and predictive validity of the Heaviness of Smoking Index and its two components: Findings from the International Tobacco Control Four Country study. Nicotine & Tobacco Research, 12(Supplement 1), S45–S50. https://doi.org/10.1093/ntr/ntq038

Doll, R., Peto, R., Boreham, J., & Sutherland, I. (2004). Mortality in relation to smoking: 50 years’ observations on male British doctors. BMJ, 328(7455), 1519. https://doi.org/10.1136/bmj.38142.554479.AE

Hughes, J. R., Keely, J., & Naud, S. (2004). Shape of the relapse curve and long‐term abstinence among untreated smokers. Addiction, 99(1), 29–38. https://doi.org/10.1111/j.1360-0443.2004.00540.x

Kotz, D., Fidler, J., & West, R. (2009). Factors associated with the use of aids to cessation in English smokers. Addiction, 104(8), 1403–1410. https://doi.org/10.1111/j.1360-0443.2009.02639.x

Buss, V., West, R., Kock, L., Kale, D., & Brown, J. (2024, July 18). Top-line findings on smoking in England from the Smoking Toolkit Study. https://smokinginengland.info/graphs/top-line-findings

West, R., McNeill, A., & Raw, M. (2000). Smoking cessation guidelines for health professionals: An update. Thorax, 55(12), 987–999. https://doi.org/10.1136/thorax.55.12.987

Gollwitzer, P. M. (1999). Implementation intentions: Strong effects of simple plans. American Psychologist, 54(7), 493–503. https://doi.org/10.1037//0003-066x.54.7.493

Locke, E. A., Shaw, K. N., Saari, L. M., & Latham, G. P. (1981). Goal setting and task performance: 1969–1980. Psychological Bulletin, 90(1), 125–152. https://doi.org/10.1037//0033-2909.90.1.125