title: Routes to diagnosis for cancer - determining the patient journey using multiple routine data sets.
abstract: BACKGROUND
  Cancer survival in England is lower than the European average, which has been at least partly attributed to later stage at diagnosis in English patients. There are substantial regional and demographic variations in cancer survival across England. The majority of patients are diagnosed following symptomatic or incidental presentation. This study defines a methodology by which the route the patient follows to the point of diagnosis can be categorised to examine demographic, organisational, service and personal reasons for delayed diagnosis.
  
  
  METHODS
  Administrative Hospital Episode Statistics data are linked with Cancer Waiting Times data, data from the cancer screening programmes and cancer registration data. Using these data sets, every case of cancer registered in England, which was diagnosed in 2006-2008, is categorised into one of eight 'Routes to Diagnosis'.
  
  
  RESULTS
  Different cancer types show substantial differences between the proportion of cases that present by each route, in reasonable agreement with previous clinical studies. Patients presenting via Emergency routes have substantially lower 1-year relative survival.
  
  
  CONCLUSIONS
  Linked cancer registration and administrative data can be used to robustly categorise the route to a cancer diagnosis for all patients. These categories can be used to enhance understanding of and explore possible reasons for delayed diagnosis.
authors.affiliation: Avon, Somerset, and Wiltshire Cancer Services, Bristol, UK.
authors.forename: L
authors.initials: L
authors.lastname: Elliss-Brookes
authors.forename: S
authors.initials: S
authors.lastname: McPhail
authors.forename: A
authors.initials: A
authors.lastname: Ives
authors.forename: M
authors.initials: M
authors.lastname: Greenslade
authors.forename: J
authors.initials: J
authors.lastname: Shelton
authors.forename: S
authors.initials: S
authors.lastname: Hiom
authors.forename: M
authors.initials: M
authors.lastname: Richards
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D002648:Child; D002675:Child, Preschool; D057210:Delayed Diagnosis / Q000706:statistics & numerical data*; D004739:England / Q000453:epidemiology; D005240:Feasibility Studies; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008875:Middle Aged; D009369:Neoplasms / Q000175:diagnosis*; D005791:Patient Care; D011787:Quality of Health Care; D012042:Registries / Q000706:statistics & numerical data*; D016019:Survival Analysis; D055815:Young Adult