title: Predictors of variation in colorectal cancer care and outcomes in New South Wales: a population-based health data linkage study.
abstract: OBJECTIVE
  To identify predictors of variation in colorectal cancer care and outcomes in New South Wales.
  
  
  METHODS
  Multilevel logistic regression analysis using a linked population-based dataset based on the records of patients with cancer of the colon, rectosigmoid junction or rectum who were registered in 2007 and 2008 by the NSW Central Cancer Registry and treated in 105 hospitals in NSW.
  
  
  METHODS
  Six outcome measures (30-day mortality, 28-day emergency readmission, prolonged length of stay, 30-day wound infection, 90-day venous thromboembolism, 1-year mortality) and five care process measures (discussion at multidisciplinary team [MDT] meeting, documented cancer stage, recorded pathological stage, treatment within 31 days of decision to treat, treatment within 62 days of referral).
  
  
  RESULTS
  We analysed data for 6890 people. There was wide variation between hospitals in care process measures, even after adjusting for patient and hospital factors. Older adults were less likely to be discussed at an MDT meeting and receive treatment within suggested time frames (all P < 0.001 for colon cancer). Increasing patient age, greater extent of disease, higher Charlson comorbidity score and resection after emergency admission consistently showed strong evidence of an association with poor outcomes. Much of the variation between hospitals in outcome measures was accounted for by patient characteristics.
  
  
  CONCLUSIONS
  Patient characteristics should be included in risk-adjustment models for comparing outcomes between hospitals and for quantifying hospital variation. Further exploration of the reasons why certain hospitals and patients appear to be at risk of poorer care is needed.
authors.affiliation: Cancer Epidemiology and Services Research, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia. mikaela.jorgensen@sydney.edu.au.
authors.forename: Mikaela L
authors.initials: ML
authors.lastname: Jorgensen
authors.affiliation: Cancer Epidemiology and Services Research, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
authors.forename: Jane M
authors.initials: JM
authors.lastname: Young
authors.affiliation: Cancer Epidemiology and Services Research, Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia.
authors.forename: Timothy A
authors.initials: TA
authors.lastname: Dobbins
authors.affiliation: Surgical Outcomes Research Centre, Sydney Local Health District and University of Sydney, Sydney, NSW, Australia.
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Solomon
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D015179:Colorectal Neoplasms / Q000401:mortality* / Q000628:therapy*; D004522:Educational Status; D005260:Female; D019538:Health Care Surveys; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007297:Inpatients / Q000706:statistics & numerical data; D007902:Length of Stay / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D009517:New South Wales / Q000453:epidemiology; D010359:Patient Readmission / Q000706:statistics & numerical data*; D011237:Predictive Value of Tests; D012004:Rectal Neoplasms / Q000401:mortality / Q000628:therapy; D018570:Risk Assessment; D012307:Risk Factors; D013530:Surgical Wound Infection / Q000209:etiology / Q000401:mortality / Q000628:therapy; D017211:Treatment Failure; D016896:Treatment Outcome; D054556:Venous Thromboembolism / Q000209:etiology / Q000401:mortality / Q000628:therapy