220 A feasibility randomised controlled trial looking at the effect on lung cancer diagnosis of giving a chest X-ray to smokers aged over 60 with new chest symptoms – the ELCID trial

Lung Cancer ◽  
2014 ◽  
Vol 83 ◽  
pp. S81-S82
Author(s):  
R.D. Neal ◽  
C. Hurt ◽  
K. Roberts ◽  
T. Rogers ◽  
W. Hamilton ◽  
...  
2010 ◽  
Vol 28 (20) ◽  
pp. 3307-3315 ◽  
Author(s):  
Hardeep Singh ◽  
Kamal Hirani ◽  
Himabindu Kadiyala ◽  
Olga Rudomiotov ◽  
Traber Davis ◽  
...  

Purpose Understanding delays in cancer diagnosis requires detailed information about timely recognition and follow-up of signs and symptoms. This information has been difficult to ascertain from paper-based records. We used an integrated electronic health record (EHR) to identify characteristics and predictors of missed opportunities for earlier diagnosis of lung cancer. Methods Using a retrospective cohort design, we evaluated 587 patients of primary lung cancer at two tertiary care facilities. Two physicians independently reviewed each case, and disagreements were resolved by consensus. Type I missed opportunities were defined as failure to recognize predefined clinical clues (ie, no documented follow-up) within 7 days. Type II missed opportunities were defined as failure to complete a requested follow-up action within 30 days. Results Reviewers identified missed opportunities in 222 (37.8%) of 587 patients. Median time to diagnosis in cases with and without missed opportunities was 132 days and 19 days, respectively (P < .001). Abnormal chest x-ray was the clue most frequently associated with type I missed opportunities (62%). Follow-up on abnormal chest x-ray (odds ratio [OR], 2.07; 95% CI, 1.04 to 4.13) and completion of first needle biopsy (OR, 3.02; 95% CI, 1.76 to 5.18) were associated with type II missed opportunities. Patient adherence contributed to 44% of patients with missed opportunities. Conclusion Preventable delays in lung cancer diagnosis arose mostly from failure to recognize documented abnormal imaging results and failure to complete key diagnostic procedures in a timely manner. Potential solutions include EHR-based strategies to improve recognition of abnormal imaging and track patients with suspected cancers.


2020 ◽  
pp. bjgp20X714077
Author(s):  
Kirsten Deanne Arendse ◽  
Fiona M. Walter ◽  
Mark Pilling ◽  
Yin Zhou ◽  
William Hamilton ◽  
...  

Abstract Background: National guidelines in England recommend prompt chest X-ray (within 14-days) in patients presenting in General Practice with unexplained symptoms of possible lung cancer, including persistent cough, shortness of breath or weight loss. Aim: To examine time to chest X-ray in symptomatic patients in English General Practice prior to lung cancer diagnosis and explore variation by demographics. Design and Setting: Retrospective cohort study using routinely collected General Practice, cancer registry and imaging data from England. Method: Patients with lung cancer who presented symptomatically in General Practice in the year pre-diagnosis and had a pre-diagnostic chest X-ray were included. Time from presentation to chest X-ray (presentation-test interval) was determined and intervals classified based on national guideline recommendations as concordant (≤14 days) or non-concordant (>14 days). Variation in intervals was examined by age, sex, smoking status and deprivation. Results: In a cohort of 2102 lung cancer patients, the median presentation-test interval was 49 days (interquartile range, IQR:5-172). 727 (35%) patients had presentation-test intervals of <14 days (median:1 day; IQR:0-6) and 1375 (65%) had presentation-test intervals of >14 days (median:128 days; IQR:52-231). Intervals were longer among smokers than non-smokers (63% longer; p<0.001), older patients (7% longer for every 10-years; p=0.013) and females (12% longer than males; p=0.016). Conclusion: In symptomatic primary care patients who underwent chest X-ray before lung cancer diagnosis, only 35% were tested within the timeframe recommended by national guidelines. Smokers, older patients and females experienced longer intervals. These findings could help guide initiatives aimed at improving timely lung cancer diagnosis.


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