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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)

Integrating smoking cessation treatment into web-based usual psychological care for people with common mental illness: feasibility randomized controlled trial (ESCAPE digital)
Integrating smoking cessation treatment into web-based usual psychological care for people with common mental illness: feasibility randomized controlled trial (ESCAPE digital)
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.
2368-7959
e78424
Taylor, Gemma
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Jacobsen, Pamela
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Blackwell, Anna
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Daryan, Shadi
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Roy, Deborah
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Duffy, Daniel
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Hisler, Garrett
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Sawyer, Katherine
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Ainsworth, Ben
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Hiscock, Douglas
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Papadakis, Sophia
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Brown, Jamie
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Munafò, Marcus
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Aveyard, Paul
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Taylor, Gemma
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Jacobsen, Pamela
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Blackwell, Anna
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Daryan, Shadi
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Roy, Deborah
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Duffy, Daniel
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Hisler, Garrett
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Sawyer, Katherine
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Ainsworth, Ben
b02d78c3-aa8b-462d-a534-31f1bf164f81
Hiscock, Douglas
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Papadakis, Sophia
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Brown, Jamie
03488948-34d6-4544-9a15-e939d19c9fb4
Munafò, Marcus
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Aveyard, Paul
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Taylor, Gemma, Jacobsen, Pamela, Blackwell, Anna, Daryan, Shadi, Roy, Deborah, Duffy, Daniel, Hisler, Garrett, Sawyer, Katherine, Ainsworth, Ben, Hiscock, Douglas, Papadakis, Sophia, Brown, Jamie, Munafò, Marcus and Aveyard, Paul (2025) Integrating smoking cessation treatment into web-based usual psychological care for people with common mental illness: feasibility randomized controlled trial (ESCAPE digital). JMIR Mental Health, 12, e78424. (doi:10.2196/78424).

Record type: Article

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.

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e-pub ahead of print date: 5 December 2025

Identifiers

Local EPrints ID: 509520
URI: http://eprints.soton.ac.uk/id/eprint/509520
ISSN: 2368-7959
PURE UUID: 2d9ab27b-d365-407f-9800-52f9bf2361b1
ORCID for Ben Ainsworth: ORCID iD orcid.org/0000-0002-5098-1092

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Date deposited: 24 Feb 2026 18:03
Last modified: 25 Feb 2026 02:43

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Contributors

Author: Gemma Taylor
Author: Pamela Jacobsen
Author: Anna Blackwell
Author: Shadi Daryan
Author: Deborah Roy
Author: Daniel Duffy
Author: Garrett Hisler
Author: Katherine Sawyer
Author: Ben Ainsworth ORCID iD
Author: Douglas Hiscock
Author: Sophia Papadakis
Author: Jamie Brown
Author: Marcus Munafò
Author: Paul Aveyard

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