Factors associated with timeliness of post-primary care referral, diagnosis and treatment for lung cancer: Population-based, data-linkage study

British Journal of Cancer

Volumn 111, Issue 9, 2014, Pages 1843-1851

  Forrest, L F ^a,b   Adams, J ^a,b   White, M ^a,b   Rubin, G ^a,c  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

^c DURHAM UNIVERSITY   (United Kingdom)

Author keywords

diagnosis; interval; lung cancer; referral; target; time; treatment

Indexed keywords

ANTINEOPLASTIC AGENT;

ADULT; AGED; AGEISM; ARTICLE; CANCER CHEMOTHERAPY; CANCER DIAGNOSIS; CANCER RADIOTHERAPY; CANCER REGISTRY; CANCER STAGING; CANCER SURGERY; COMORBIDITY; CONTROLLED STUDY; FEMALE; FOLLOW UP; HUMAN; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; MULTIMODALITY CANCER THERAPY; PATIENT REFERRAL; PRIMARY MEDICAL CARE; TIME TO TREATMENT; TREATMENT OUTCOME; CARCINOMA, LARGE CELL; CARCINOMA, NON-SMALL-CELL LUNG; CARCINOMA, SQUAMOUS CELL; COHORT ANALYSIS; EPIDEMIOLOGY; HEALTH CARE DISPARITY; INFORMATION PROCESSING; LUNG NEOPLASMS; MIDDLE AGED; PRIMARY HEALTH CARE; PROGNOSIS; RISK FACTOR; SMALL CELL LUNG CARCINOMA; STATISTICS AND NUMERICAL DATA; UNITED KINGDOM; VERY ELDERLY;

AGED; AGED, 80 AND OVER; CARCINOMA, LARGE CELL; CARCINOMA, NON-SMALL-CELL LUNG; CARCINOMA, SQUAMOUS CELL; COHORT STUDIES; COMBINED MODALITY THERAPY; COMORBIDITY; DATA COLLECTION; ENGLAND; FEMALE; FOLLOW-UP STUDIES; HEALTHCARE DISPARITIES; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; NEOPLASM STAGING; PRIMARY HEALTH CARE; PROGNOSIS; REFERRAL AND CONSULTATION; RISK FACTORS; SMALL CELL LUNG CARCINOMA; TIME-TO-TREATMENT;

EID: 84908576770     PISSN: 00070920     EISSN: 15321827     Source Type: Journal    
DOI: 10.1038/bjc.2014.472     Document Type: Article

References (37)

1. Allgar VL, Neal RD (2005) Delays in the diagnosis of six cancers: Analysis of data from the National Survey of NHS Patients: Cancer. Br J Cancer 92(11): 1959-1970.
2. Allgar VL, Neal RD, Ali N, Leese B, Heywood P, Proctor G, Evans J (2006) Urgent GP referrals for suspected lung, colorectal, prostate and ovarian cancer. Br J Gen Pract 56: 355-362.
3. Andersen BL, Cacioppo JT, Roberts DC (1995) Delay in seeking a cancer diagnosis: Delay stages and psychophysiological comparison processes. Br J Soc Psychol 34: 33-52.
4. Berglund A, Holmberg L, Tishelman C, Wagenius G, Eaker S, Lambe M (2010) Social inequalities in non-small cell lung cancer management and survival: A population-based study in central Sweden. Thorax 65(4): 327-333.
5. Bjerager M, Palshof T, Dahl R, Vedsted P, Olesen F (2006) Delay in diagnosis of lung cancer in general practice. Br J Gen Pract 56: 863-868.
6. Charlson M, Pompei P, Ales K, MacKenzie C (1987) A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis 40: 373-383.
7. Corner J, Brindle L (2011) The influence of social processes on the timing of cancer diagnosis: A research agenda. J Epidemiol Community Health 65: 477-482.
8. Dalton SO, Frederiksen BL, Jacobsen E, Steding-Jessen M, Osterlind K, Schuz J, Osler M, Johansen C (2011) Socioeconomic position, stage of lung cancer and time between referral and diagnosis in Denmark, 2001-2008. Br J Cancer 105(7): 1042-1048.
9. Department of Health (2000) The NHS cancer plan: A plan for investment, a plan for reform. Available at http://webarchive.nationalarchives.gov.uk/+/www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH-4009609(last accessed 28 February 2013).
10. Devbhandari M, Soon S, Quennell P, Barber P, Krysiak P, Shah R, Jones M (2007) UK waiting time targets in lung cancer treatment: Are they achievable?. Results of a prospective tracking study. J Cardiothorac Surg 2(1): 5.
11. Elliss-Brookes L, McPhail S, Ives A, Greenslade M, Shelton J, Hiom S, Richards M (2012) Routes to diagnosis for cancer-determining the patient journey using multiple routine data sets. Br J Cancer 107(8): 1220-1226.
12. Forrest LF (2013) Why are socioeconomic inequalities in receipt of treatment found for lung cancer?. Lung Cancer Manage 2(3): 177-180.
13. Forrest LF, Adams J, Rubin G, White M (2014a) The role of receipt and timeliness of treatment in socioeconomic inequalities in lung cancer survival: Population-based, data linkage study. Thorax. e-pub ahead of print 12 June 2014; doi:10.1136/thoraxjnl-2014-205517.
14. Forrest LF, Sowden S, Rubin G, White M, Adams J (2014b) Socio-economic inequalities in patient, primary care, referral, diagnostic, and treatment intervals on the lung cancer care pathway: Protocol for a systematic review and meta-Analysis. Syst Rev 3: 30.
15. Forrest LF, White M, Rubin G, Adams J (2014c) The role of patient, tumour and system factors on socioeconomic inequalities in lung cancer treatment: Population-based study. Br J Cancer 111(3): 608-618.
16. Hansen R, Olesen F, Sorensen H, Sokolowski I, Sondergaard J (2008) Socioeconomic patient characteristics predict delay in cancer diagnosis: A Danish cohort study. BMC Health Serv Res 8(1): 49.
17. HM Government (2013) English Indices of Deprivation 2010. http://data.gov.uk/dataset/index-of-multiple-deprivation.
18. Jensen AR, Mainz J, Overgaard J (2002) Impact of delay on diagnosis and treatment of primary lung cancer. Acta Oncol 41(2): 147-152.
19. Kirkwood BR, Sterne JA (2003) Regression modelling. In Essential Medical Statistics. 2nd edn pp 315-342. Blackwell Publishing Ltd: Oxford, UK.
20. Lawler M, Selby P, Aapro M, Duffy S (2014) Ageism in cancer care. BMJ 348: G1614.
21. Lovgren M, Levealahti H, Tishelman C, Runesdotter S, Hamberg K (2008) Time spans from first symptom to treatment in patients with lung cancer-The influence of symptoms and demographic characteristics. Acta Oncol 47(3): 397-405.
22. Mitchell E, Macdonald S, Campbell NC, Weller D, Macleod U (2008) Influences on pre-hospital delay in the diagnosis of colorectal cancer: A systematic review. Br J Cancer 98(1): 60-70.
23. Myrdal G, Lambe M, Hillerdal G, Lamberg K, Agustsson T, Stahle E (2004) Effect of delays on prognosis in patients with non-small cell lung cancer. Thorax 59(1): 45-49.
24. National Cancer Equality Initiative (2012) The impact of patient age on clinical decision-making in oncology. Available at https://www.gov.uk/government/publications/the-impact-of-patient-Age-on-clinical-decisionmaking-in-oncology.
25. Neal RD, Allgar VL (2005) Sociodemographic factors and delays in the diagnosis of six cancers: Analysis of data from the "National Survey of NHS patients: Cancer". Br J Cancer 92: 1971-1975.
26. NHS Information Centre (2012) National Lung Cancer Audit Report 2012. NHS Information Centre for Health and Social Care: Leeds, UK. Available at www.hqip.org.uk/./Lung-Cancer-National-Audit-Report-pub-2012.pdf.
27. NICE (2005) Clinical Guideline 24. Lung Cancer: The diagnosis and treatment of lung cancer. NICE: London, UK.
28. NYCRIS (2012) Northern and Yorkshire Cancer Registry and Information Centre. Available at http://www.nycris.nhs.uk/about/(last accessed 2 August 2013).
29. Olsson JK, Schultz EM, Gould MK (2009) Timeliness of care in patients with lung cancer: A systematic review. Thorax 64(9): 749-756.
30. Ramirez AJ, Westcombe AM, Burgess CC, Sutton S, Littlejohns P, Richards MA (1999) Factors predicting delayed presentation of symptomatic breast cancer: A systematic review. Lancet 353(9159): 1127-1131.
31. Riaz SP, Linklater K, Horton M, Peake M, Moller H, Luchtenborg M (2010) Lung cancer data in the National Cancer Data Repository, Hospital Episode Statistics and National Lung Cancer Audit datasets. Available at www.ncin.org.uk/view?rid=1624.
32. Richards MA (2009) The National Awareness and Early Diagnosis Initiative in England: Assembling the evidence. Br J Cancer 101(S2): S1-S4.
33. Sobin LH, Wittekind CH (1997) TNM Classification of Malignant Tumors. 5th edn (John Wiley & Sons: New York, NY, USA.
34. Torring ML, Frydenberg M, Hansen RP, Olesen F, Hamilton W, Vedsted P (2011) Time to diagnosis and mortality in colorectal cancer: A cohort study in primary care. Br J Cancer 104(6): 934-940.
35. Walter F, Webster A, Scott S, Emery J (2012) The Andersen Model of Total Patient Delay: A systematic review of its application in cancer diagnosis. J Health Serv Res Policy 17(2): 110-118.
36. Weller D, Vedsted P, Rubin G, Walter FM, Emery J, Scott S, Campbell C, Anderson RS, Hamilton W, Olesen F, Rose P, Nafees S, van Rijswijk E, Hiom S, Muth C, Beyer M, Neal RD (2012) The Aarhus statement: Improving design and reporting of studies on early cancer diagnosis. Br J Cancer 106: 1262-1267.
37. White IR, Royston P, Wood AM (2011) Multiple imputation using chained equations: Issues and guidance for practice. Stat Med 30(4): 377-399.