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

Author:

Robins JohnORCID,Patel Irem,McNeill Ann,Moxham John,Woodhouse Arran,Absalom Gareth,Shehu Buljana,Bruce Geraldine,Dewar Amy,Molloy Alanna,Duckworth Porras Stephanie,Waring Michael,Stock Andrew,Robson Debbie

Abstract

Abstract 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.

Funder

National Institute for Health Research Applied Research Collaboration South London

Southwark Clinical Commissioning Group

Publisher

Springer Science and Business Media LLC

Reference42 articles.

1. Reitsma MB, Kendrick PJ, Ababneh E, Abbafati C, Abbasi-Kangevari M, Abdoli A, et al. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019. Lancet. 2021;397(10292):2337–60.

2. NHS Digital. Statistics on Smoking, England 2020. https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-smoking/statistics-on-smoking-england-2020

3. Agrawal S, Mangera Z, Murray RL, Howle F, Evison M. Successes and challenges of implementing tobacco dependency treatment in health care institutions in England. Curr Oncol. 2022;29(5):3738–47.

4. Devani N, Evison M. BTS National Smoking Cessation Audit 2021: management of tobacco dependency in acute care trusts: audit report. Vol. 13, British Thoracic Society Reports. 2022.

5. Royal College of Physicians. Hiding in plain sight: treating tobacco dependency in the NHS. London: RCP; 2018. https://www.rcplondon.ac.uk/file/10116/download

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