Evidence map›Paper›PMID 39095781›Full record

ArticleBMC cancer2024

Understanding the impact of distance and disadvantage on lung cancer care and outcomes: a study protocol.

Daisy McInnerney, Samantha L Quaife, Samuel Cooke, Lucy Mitchinson, Zara Pogson, William Ricketts, Adam Januszewski, Anna Lerner, Dawn Skinner, Sarah Civello and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

16 authors.

Daisy McInnerneyCentre for Cancer Screening, Prevention, and Early Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
Samantha L QuaifeCentre for Cancer Screening, Prevention, and Early Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
Samuel CookeLincoln Institute for Rural and Coastal Health, College of Health and Science, University of Lincoln, Lincoln, UK.
Lucy MitchinsonCentre for Cancer Screening, Prevention, and Early Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK. l.mitchinson@qmul.ac.uk.
Zara PogsonLincoln County Hospital, United Lincolnshire Hospitals NHS Trust, Lincoln, UK.
William RickettsBarts Health NHS Trust, London, UK.
Adam JanuszewskiBarts Health NHS Trust, London, UK.
Anna LernerBarts Health NHS Trust, London, UK.
Dawn SkinnerPilgrim Hospital, United Lincolnshire Hospitals NHS Trust, Boston, UK.
Sarah CivelloLincoln County Hospital, United Lincolnshire Hospitals NHS Trust, Lincoln, UK.
Ros KaneSchool of Health and Social Care, College of Health and Science, University of Lincoln, Lincoln, UK.
Ava Harding-BellSwineshead Patient Participation Group, Swineshead Medical Group, Boston, UK.
Lynn CalmanCentre for Psychosocial Research in Cancer, School of Health Sciences, University of Southampton, Southampton, UK.
Peter SelbySchool of Medicine, University of Leeds, Leeds, UK.
Michael D PeakeGlenfield Hospital, University of Leicester, Leicester, UK.
David NelsonLincoln Institute for Rural and Coastal Health, College of Health and Science, University of Lincoln, Lincoln, UK.

Funding

Cancer Research UK PICATR-2022/100017Cancer Research UK PICATR-2022/100019
6 · The paper itself

Abstract

backgroundLung cancer is the third most common cancer in the UK and the leading cause of cancer mortality globally. NHS England guidance for optimum lung cancer care recommends management and treatment by a specialist team, with experts concentrated in one place, providing access to specialised diagnostic and treatment facilities. However, the complex and rapidly evolving diagnostic and treatment pathways for lung cancer, together with workforce limitations, make achieving this challenging. This place-based, behavioural science-informed qualitative study aims to explore how person-related characteristics interact with a person's location relative to specialist services to impact their engagement with the optimal lung pathway, and to compare and contrast experiences in rural, coastal, and urban communities. This study also aims to generate translatable evidence to inform the evidence-based design of a patient engagement intervention to improve lung cancer patients' and informal carers' participation in and experience of the lung cancer care pathway.

methodsA qualitative cross-sectional interview study with people diagnosed with lung cancer < 6 months before recruitment (in receipt of surgery, radical radiotherapy, or living with advanced disease) and their informal carers. Participants will be recruited purposively from Barts Health NHS Trust and United Lincolnshire Hospitals NHS Trusts to ensure a diverse sample across urban and rural settings. Semi-structured interviews will explore factors affecting individuals' capability, opportunity, and motivation to engage with their recommended diagnostic and treatment pathway. A framework approach, informed by the COM-B model, will be used to thematically analyse facilitators and barriers to patient engagement. DISCUSSION: The study aligns with the current policy priority to ensure that people with cancer, no matter where they live, can access the best quality treatments and care. The evidence generated will be used to ensure that lung cancer services are developed to meet the needs of rural, coastal, and urban communities. The findings will inform the development of an intervention to support patient engagement with their recommended lung cancer pathway. PROTOCOL REGISTRATION: The study received NHS Research Ethics Committee (Ref: 23/SC/0255) and NHS Health Research Authority (IRAS ID 328531) approval on 04/08/2023. The study was prospectively registered on Open Science Framework (16/10/2023; https://osf.io/njq48 ).

Indexed as

Health Services AccessibilityLung NeoplasmsCross-Sectional StudiesFemaleHumansMaleQualitative ResearchRural PopulationCOM-B modelInformal carerLung cancerOncologyPatient experienceQualitative researchRural healthUrban health

Identifiers

PMID39095781
PMCPMC11295610

What OpenQuestion holds

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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.