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ELCID: early lung cancer identification and diagnosis - an embedded interview study to explore patient participation and recruitment
- Source :
- Trials
- Publisher :
- Springer Nature
-
Abstract
- Background\ud The ELCID Trial is a feasibility randomised controlled\ud trial examining the effect on lung cancer diagnosis of\ud giving an urgent chest x-ray to smokers, and recent exsmokers,\ud aged over 60 with new chest symptoms.\ud Aims\ud The qualitative component explores the feasibility of\ud individually randomising patients to an urgent CXR or\ud not and investigates any barriers to patient participation.\ud Methods\ud To date we have conducted semi-structured interviews\ud with six primary care staff (practice managers, research\ud nurses), ten patients randomised to ‘extra-NICE’ guidelines\ud for referral for urgent chest x-ray, and six patients\ud randomised to ‘usual care’ (NICE guidelines)). We hope\ud to also interview patients who decline randomisation.\ud Interviews were analysed using a Framework approach.\ud Results\ud Initial analysis indicated that practices have struggled to\ud recruit patients, partly due to the eligibility criteria that\ud requires ex-smokers to have stopped smoking within the\ud last five years. Practices with a research nurse have\ud recruited the most patients. Patients indicated that they\ud are happy to take part in the trial and their anxiety\ud levels were not raised. Most patients hoped to be\ud randomised to urgent chest x-ray, although those who\ud were not did not go back to their GP to request one.\ud Conclusions\ud Eligibility criteria needed revision to include ex-smokers\ud of any duration. These preliminary findings suggest that\ud the trial appears to be feasible and patients are happy to\ud accept randomisation. The findings will inform the\ud design of the main trial in the future.
- Subjects :
- medicine.medical_specialty
Referral
business.industry
Alternative medicine
Nice
Medicine (miscellaneous)
Bioinformatics
medicine.disease
law.invention
respiratory tract diseases
Identification (information)
Randomized controlled trial
law
Family medicine
Poster Presentation
Medicine
Anxiety
Pharmacology (medical)
medicine.symptom
Patient participation
business
Lung cancer
computer
computer.programming_language
Subjects
Details
- Language :
- English
- ISSN :
- 17456215
- Volume :
- 14
- Issue :
- Suppl 1
- Database :
- OpenAIRE
- Journal :
- Trials
- Accession number :
- edsair.doi.dedup.....d911fb3e4d0890f061895cadf2517bcc
- Full Text :
- https://doi.org/10.1186/1745-6215-14-s1-p102