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Integrating Smoking Cessation Treatment Into Web-Based Usual Psychological Care for People With Common Mental Illness: Feasibility Randomized Controlled Trial (ESCAPE Digital)

Gemma Taylor, Pamela Jacobsen, Anna Blackwell, Shadi Daryan, Debbie Roy, Daniel Duffy, Garrett Hisler, Katherine Sawyer, Ben Ainsworth, Douglas Hiscock, Sophia Papadakis, Jamie Brown, Marcus Munafo, Paul Aveyard

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Stopping smoking can improve mental health, with effect sizes similar to antidepressant treatment. Internet-based cognitive behavioral therapy (iCBT) provides evidence-based treatment for depression and anxiety, and digital interventions can support smoking cessation. However, combined digital smoking and mental health support is not currently available in UK health services.

OBJECTIVE: This feasibility trial aimed to investigate the acceptability and feasibility of a digital tailored smoking cessation intervention delivered alongside usual iCBT, and test trial procedures.

METHODS: The study design was a 2-armed, parallel groups, pragmatic, feasibility randomized controlled trial. Eligible participants were adult (18 years and older), regular smokers referred to iCBT from National Health Service Talking Therapies services in England. Participants were screened, consented, and randomized via a web-based platform and allocated to intervention (integrated smoking cessation support) or control (usual care) arms. Fully automated processes ensured allocation concealment. It was not possible to blind participants or clinicians to the behavioral intervention. Follow-ups via web-based questionnaires were completed at 3- and 6-months. Prespecified progression criteria, to determine the feasibility of the integrated intervention and trial procedures for a definitive trial, were enrolment of eligible clients (≥20%); recruitment to the target (≥80%); outcome data completeness (≥70%); and self-reported quit attempts in the intervention arm (≥8%).

RESULTS: A total of 309 participants were randomized: 154 to the intervention arm and 155 to the control arm. The proportion of eligible clients enrolled (309/1484, 21%) met the criteria for progression; however, the number randomized was below target (309/500, 62%). In the intervention arm, 18% (27/154) self-reported at least one quit attempt, which exceeded the progression criteria but was comparable to the control arm (32/155, 21%). High loss to follow-up meant data completeness was low (<30% across 6 key pilot clinical outcomes).

CONCLUSIONS: Integrating smoking cessation within digital mental health treatment and using automated procedures to enroll and randomize participants appears feasible. Adjustments to site recruitment could improve participant recruitment; however, a large loss to follow-up undermines the feasibility of progression.

TRIAL REGISTRATION: ISRCTN Registry ISRCTN10612149; https://www.isrctn.com/ISRCTN10612149.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1016/j.cct.2024.107541.

Original languageEnglish
Article numbere78424
JournalJMIR mental health
Volume12
Early online date5 Dec 2025
DOIs
Publication statusPublished - 5 Dec 2025

Data Availability Statement

The study protocol and statistical analysis plan are available from the ISRCTN Registry. The datasets generated or analyzed during this study (deidentified participant data and data dictionary) are available from the University of Bath’s Research Data Archive [36]. Data access is restricted and will be made available to approved bona fide researchers after they have signed a data access agreement with the Research Data Services. Participants consented to the sharing of anonymized data at the start of the study.

Funding

This trial is funded by Cancer Research UK (PPRCPJT\100023) and sponsored by the University of Bath ([email protected]). The funding body and sponsor had no role in the design of the study or collection, analysis, and interpretation of data, or in writing this manuscript. PA was funded by National Institute for Health and Care Research (NIHR) Oxford and Thames Valley Applied Research Collaboration, NIHR Oxford Health Biomedical Research Centre, and NIHR Oxford Biomedical Research Centre. AB, SD, DR, PJ, BA, PA, KS, and MM declare no competing interests. GT previously received funding from Pfizer, who manufacture smoking cessation products, for research unrelated to this study. GT previously worked at a scientific consultancy providing statistical and research support for pharmaceutical companies to medicines unrelated to this manuscript. JB has received (most recently awarded in 2018) unrestricted research funding via his university to study smoking from Pfizer and J&J, which manufacture smoking cessation medications. JB is an unpaid member of the scientific steering group of the Smoke Free mobile app. DH, DD, and GH are employees and shareholders of Amwell, a company of which SilverCloud Health is a subsidiary. SP has received unrestricted research funding via her university to study smoking from Global Bridges in partnership with Pfizer, who manufacture smoking cessation medications.

FundersFunder number
NIHR Oxford Biomedical Research Centre
National Institute for Health and Care Research
University of Bath
Thames Valley
Pfizer
Cancer Research UKPPRCPJT\100023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Humans
  • Smoking Cessation/methods
  • Feasibility Studies
  • Male
  • Adult
  • Female
  • Cognitive Behavioral Therapy/methods
  • Middle Aged
  • Mental Disorders/therapy
  • Internet-Based Intervention
  • England
  • Internet

ASJC Scopus subject areas

  • Psychiatry and Mental health

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