Association between patient and general practice characteristics and unplanned first-time admissions for cancer: observational study

Br J Cancer. 2012 Oct 9;107(8):1213-9. doi: 10.1038/bjc.2012.320. Epub 2012 Jul 24.


Background: To identify patient and general practice (GP) characteristics associated with emergency (unplanned) first admissions for cancer in secondary care.

Methods: Patients who had a first-time admission with a primary diagnosis of cancer during 2007/08 to 2009/10 were identified from administrative hospital data. We modelled the associations between the odds of these admissions being unplanned and various patient and GP practice characteristics using national data sets, including the Quality and Outcomes Framework (QOF).

Results: There were 639,064 patients with a first-time admission for cancer, with 139,351 unplanned, from 7957 GP practices. The unplanned proportion ranged from 13.9% (patients aged 15-44 years) to 44.9% (patients aged 85 years and older, P<0.0001), with large variation by ethnicity (highest in Asians), deprivation, rurality and cancer type. In unadjusted analyses, all included patient and practice-level variables were statistically significant predictors of the admissions being unplanned. After adjustment, patient area-level deprivation was a key factor (most deprived compared with least deprived quintile OR 1.36, 95% CI 1.32-1.40). Higher total QOF performance protected against unplanned admission (OR 0.94 per 100 points; 95% CI 0.91-0.97); having no GPs with a UK primary medical qualification (OR 1.08, 95% CI 1.04-1.11) and being less able to offer appointments within 48 h were associated with higher odds.

Conclusion: We have identified some patient and practice characteristics associated with a first-time admission for cancer being unplanned. The former could be used to help identify patients at high risk, while the latter raise questions about the role of practice organisation and staff training.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Child, Preschool
  • Delayed Diagnosis*
  • Emergencies
  • Female
  • General Practice / organization & administration*
  • General Practice / statistics & numerical data
  • Hospitalization / statistics & numerical data*
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Middle Aged
  • Neoplasms / diagnosis*
  • Quality Indicators, Health Care
  • Risk Factors
  • Secondary Care
  • United Kingdom / epidemiology
  • Young Adult