Evidence map›Paper›PMID 36522781›Full record

ArticleBMC pulmonary medicine2022

Co-development of an evidence-based personalised smoking cessation intervention for use in a lung cancer screening context.

Harriet D Quinn-Scoggins, Rachael L Murray, Samantha L Quaife, Pamela Smith, Kate E Brain, Matthew E J Callister, David R Baldwin, John Britton, Philip A J Crosbie, Rebecca Thorley and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Barriers and Facilitators to Engaging in Smoking Cessation Support Among Lung Screening Participants.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Harriet D Quinn-ScogginsDivision of Population Medicine, School of Medicine, Cardiff University, 8th Floor Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS, UK. Quinn-ScogginsHD@Cardiff.ac.uk.
Rachael L MurrayAcademic Unit of Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
Samantha L QuaifeWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Pamela SmithDivision of Population Medicine, School of Medicine, Cardiff University, 8th Floor Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS, UK.
Kate E BrainDivision of Population Medicine, School of Medicine, Cardiff University, 8th Floor Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS, UK.
Matthew E J CallisterDepartment of Respiratory Medicine, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Leeds, UK.
David R BaldwinDepartment of Respiratory Medicine, Nottingham University Hospital, Nottingham, UK.
John BrittonAcademic Unit of Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
Philip A J CrosbieDivision of Infection, Immunity and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Rebecca ThorleyAcademic Unit of Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK.
Grace M McCutchanDivision of Population Medicine, School of Medicine, Cardiff University, 8th Floor Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS, UK.
Cardiff University · GBUniversity of Nottingham · GBQueen Mary University of London · GBSt James's University Hospital · GBUniversity of Manchester · GB

Funding

Cancer Research UK 24460
6 · The paper itself

Abstract

backgroundOptimising smoking cessation services within a low radiation-dose computed tomography (LDCT) lung cancer screening programme has the potential to improve cost-effectiveness and overall efficacy of the programme. However, evidence on the optimal design and integration of cessation services is limited. We co-developed a personalised cessation and relapse prevention intervention incorporating medical imaging collected during lung cancer screening. The intervention is designed to initiate and support quit attempts among smokers attending screening as part of the Yorkshire Enhanced Stop Smoking study (YESS: ISRCTN63825779). Patients and public were involved in the development of an intervention designed to meet the needs of the target population.

methodsAn iterative co-development approach was used. Eight members of the public with a history of smoking completed an online survey to inform the visual presentation of risk information in subsequent focus groups for acceptability testing. Three focus groups (n = 13) were conducted in deprived areas of Yorkshire and South Wales with members of the public who were current smokers or recent quitters (within the last year). Exemplar images of the heart and lungs acquired by LDCT, absolute and relative lung cancer risk, and lung age were shown. Data were analysed thematically, and discussed in stakeholder workshops. Draft versions of the intervention were developed, underpinned by the Extended Parallel Processing Model to increase self-efficacy and response-efficacy. The intervention was further refined in a second stakeholder workshop with a patient panel.

resultsIndividual LDCT scan images of the lungs and heart, in conjunction with artistic impressions to facilitate interpretation, were considered by public participants to be most impactful in prompting cessation. Public participants thought it important to have a trained practitioner guiding them through the intervention and emphasising the short-term benefits of quitting. Presentation of absolute and relative risk of lung cancer and lung age were considered highly demotivating due to reinforcement of fatalistic beliefs.

conclusionAn acceptable personalised intervention booklet utilising LDCT scan images has been developed for delivery by a trained smoking cessation practitioner. Our findings highlight the benefit of co-development during intervention development and the need for further evaluation of effectiveness.

Indexed as

Lung NeoplasmsSmoking CessationEarly Detection of CancerHumansSmokersSmokingCo-developmentEmphysemaImaging/CT MRIInterventionLung cancerLung cancer screeningPatient and public involvementSmoking cessation

Identifiers

PMID36522781
PMCPMC9756588
OpenAlexW4311737431

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.