Successes and Challenges of Implementing Tobacco Dependency Treatment in Health Care Institutions in England

It is never too late to stop smoking. Applying working estimates of smoking cessation on five-year overall survival gains after a cancer diagnosis

BACKGROUND

Detailed data on five-year overall survival (5Y-OS) in relation to smoking cessation after a cancer diagnosis are sparse. Implementation of smoking cessation in cancer treatment centres is also sub-optimal. The aim is to provide working, numeric estimates of 5Y-OS outcomes in relation to quitting smoking to help inform patients with cancer.

METHODS

5Y-OS data and hazard ratios (HR) from a moderately sized cohort study from Japan were used to derive survival benefits on Australian cancer survival scenarios ranging from 10 % to 90 % 5Y survival, using standard epidemiological formulas comparing survival in those who recently quit around the time of their cancer diagnosis in comparison to those who continued to smoke.

RESULTS

In a scenario of a cancer type with 90 % 5 y survival e.g. breast, prostate cancer, or melanoma, quitting smoking shows a gain in 5Y-OS of 10 %, and a gain in median survival of 2.1 years. In a scenario of 20 % 5 y survival (e.g. lung, liver, brain, or oesophageal cancer) recent quitting shows a 5Y-OS gain of 2 %, and a median survival gain of three months.

CONCLUSION

The greater the survival at presentation, the greater the gain by quitting smoking. Future research should aim to produce estimates based on real-world data.

Preferences for Follow-Up Procedures among Patients Lost to Follow-Up after Smoking Cessation Intervention among Therapists-An Interview Study

Achieving high follow-up rates after smoking cessation interventions (SCIs) is a general challenge. The aim of this study was to identify preferences among patients and therapists for improving follow-up rates and to assess smoking status at 6 months among patients lost to follow-up. From the Danish STOPbase for Tobacco and Nicotine, which collects data on SCI across health care, 20 representative patients lost to follow-up by routine procedures were identified together with 11 therapists. All participated in individual semi-structured phone interviews, which for patients also included 6-month smoking status. Deductive and inductive analyses were performed. Four themes emerged from the analyses with several subthemes, all regarding contacts. Both patients and therapists preferred to intensify the follow-up process by boosting it with additional attempts and using voice messages, e-mail and/or SMS, calling at specified times of the day and avoiding calls from unknown numbers. In addition, some patients mentioned that they were busy or were not carrying their mobile devices at the time of a call as a barrier. Some therapists mentioned that barriers could include an expectation of relapse, but also a poor mental state, the time of day and patient fear of public systems. Among the patients originally lost to follow-up, 35% (95% CI 16%-59%) experienced continuous smoking cessation for 6 months, and the overall national rate was 22% (21.6-23.3%). In conclusion, both patients and therapists preferred intensified follow-up. The 6-month smoking status for patients lost to follow-up seemed to be similar to that of the routinely followed-up patients. These findings will be examined experimentally in a larger study.

Evaluation of a hospital-initiated tobacco dependence treatment service: uptake, smoking cessation, readmission and mortality

BACKGROUND

The National Health Service in England aims to implement tobacco dependency treatment services in all hospitals by 2024. We aimed to assess the uptake of a new service, adapted from the Ottawa Model of Smoking Cessation, and its impact on 6-month quit rates and readmission or death at 1-year follow-up.

METHODS

We conducted a pragmatic service evaluation of a tobacco dependency service implemented among 2067 patients who smoked who were admitted to 2 acute hospitals in London, England, over a 12-month period from July 2020. The intervention consisted of the systematic identification of smoking status, automatic referral to tobacco dependence specialists, provision of pharmacotherapy and behavioural support throughout the hospital stay, and telephone support for 6 months after discharge. The outcomes were (i) patient acceptance of the intervention during admission, (ii) quit success at 6 months after discharge, (iii) death, or (iv) readmission up to 1 year following discharge. Multivariable logistic regression was used to estimate the impact of a range of clinical and demographic variables on these outcomes.

RESULTS

The majority (79.4%) of patients accepted support at the first assessment. Six months after discharge, 35.1% of successfully contacted patients reported having quit smoking. After adjustment, odds of accepting support were 51-61% higher among patients of all non-White ethnicity groups, relative to White patients, but patients of Mixed, Asian, or Other ethnicities had decreased odds of quit success (adjusted odds ratio (AOR) = 0.32, 95%CI = 0.15-0.66). Decreased odds of accepting support were associated with a diagnosis of cardiovascular disease or diabetes; however, diabetes was associated with increased odds of quit success (AOR = 1.88, 95%CI = 1.17-3.04). Intention to make a quit attempt was associated with a threefold increase in odds of quit success, and 60% lower odds of death, compared to patients who did not intend to quit. A mental health diagnosis was associated with an 84% increase in the odds of dying within 12 months.

CONCLUSIONS

The overall quit rates were similar to results from Ottawa models implemented elsewhere, although outcomes varied by site. Outcomes also varied according to patient demographics and diagnoses, suggesting personalised and culturally tailored interventions may be needed to optimise quit success.

Covariates of success in quitting smoking: a systematic review of studies from 2008 to 2021 conducted to inform the statistical analyses of quitting outcomes of a hospital-based tobacco dependence treatment service in the United Kingdom

Background

Smoking cessation interventions are being introduced into routine secondary care in the United Kingdom (UK), but there are person and setting-related factors that could moderate their success in quitting smoking. This review was conducted as part of an evaluation of the QUIT hospital-based tobacco dependence treatment service ( https://sybics-quit.co.uk). The aim of the review was to identify a comprehensive set of variables associated with quitting success among tobacco smokers contacting secondary healthcare services in the UK who are offered support to quit smoking and subsequently set a quit date. The results would then be used to inform the development of a statistical analysis plan to investigate quitting outcomes.

Methods

Systematic literature review of five electronic databases. Studies eligible for inclusion investigated quitting success in one of three contexts: (a) the general population in the UK; (b) people with a mental health condition; (c) quit attempts initiated within a secondary care setting. The outcome measures were parameters from statistical analysis showing the effects of covariates on quitting success with a statistically significant (i.e., p-value <0.05) association.

Results

The review identified 29 relevant studies and 14 covariates of quitting success, which we grouped into four categories: demographics (age; sex; ethnicity; socio-economic conditions; relationship status, cohabitation and social network), individual health status and healthcare setting (physical health, mental health), tobacco smoking variables (current tobacco consumption, smoking history, nicotine dependence; motivation to quit; quitting history), and intervention characteristics (reduction in amount smoked prior to quitting, the nature of behavioural support, tobacco dependence treatment duration, pharmacological aids).

Conclusions

In total, 14 data fields were identified that should be considered for inclusion in datasets and statistical analysis plans for evaluating the quitting outcomes of smoking cessation interventions initiated in secondary care contexts in the UK.

PROSPERO registration

CRD42021254551 (13/05/2021).