Objectives: Few studies have been published regarding the relevance of the admission diagnosis to the smoking cessation rate. We studied smoking cessation rates in relation to admission diagnoses in our inpatient smoking cessation programmes. Methods: This retrospective study included all patients recruited into our inpatient smoking cessation programmes at 2 institutions in Singapore between June 2008 and December 2016. Patients were given individualized intensive counselling and were followed up via phone interviews for up to 6-month to assess their smoking status. Multivariable logistic regression was used to analyse potential associations between admission diagnoses and 6-month abstinence. Results: A total of 7194 patients were included in this study. The mean age was 54.1 years, and 93.2% were male. In total, 1778 patients (24.7%) were abstinent at the 6-month follow-up call. Patients who quit smoking tended to be of Chinese ethnicity, have initiated smoking at a later age, be better educated, and have lower Fagerström Test of Nicotine Dependence scores. After adjusting for these factors, patients with a cardiovascular admission diagnosis had a significantly higher probability of quitting tobacco use than patients with a respiratory or other diagnosis. Conclusions In patients acutely admitted to the hospital, a diagnosis of cardiovascular disease was associated with the highest quit rate. Smoking cessation interventions need to be incorporated into all cardiovascular disease treatment pathways to leverage the patient’s motivation and to improve the quit rate. In addition, patients in groups with lower quit rates may benefit from more intensive programmes to increase the rate of successful cessation.

INTRODUCTION: Our study aimed to review the quit rates of smokers from our inpatient smoking cessation programme in relation to habits and sociodemographic factors, and also to explore the potential usefulness of electronic cigarettes (ECs) by reviewing smoking motivations. METHODS: This was a retrospective study of patients recruited into our inpatient smoking cessation programme from June 2008 to June 2015. Sociodemographic factors and information on smoking habits were collected using a counsellor-administered questionnaire. Patients were given intensive counselling followed by a phone interview at one, three and six months to assess smoking status. RESULTS: A total of 2,722 patients were enrolled. 27.6% of patients were abstinent at six months' follow-up. Patients who quit smoking were older, married, initiated smoking at a later age and had lower Fagerström Test for Nicotine Dependence scores. There was a trend towards successful quitting in those with higher education levels and Chinese ethnicity, but this was not statistically significant. Patients who planned to quit cold turkey and those who quit because of social pressures were more successful. Of the smoking motivations, only nicotine dependence was an independent predictor of smoking cessation. CONCLUSION Smoking motivations such as habitual use and psychological dependence did not influence quit rates and therefore do not support the use of ECs. Instead, a cold turkey method of quitting was shown in our study to contribute to cessation success. We recommend an increased focus on the use of pharmacologic aids as well as involvement of peer/spousal support to aid in such quit attempts.