Premium
Impact of hospital geographic remoteness on overall survival after colorectal cancer resection using state‐wide administrative data
Author(s) -
Udayasiri Dilshan K.,
MacCallum Caroline,
Da Silva Nigel,
Skandarajah Anita,
Hayes Ian P.
Publication year - 2020
Publication title -
anz journal of surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.426
H-Index - 70
eISSN - 1445-2197
pISSN - 1445-1433
DOI - 10.1111/ans.15991
Subject(s) - medicine , proportional hazards model , hazard ratio , colorectal cancer , confounding , metropolitan area , retrospective cohort study , survival analysis , cancer , surgery , confidence interval , pathology
Abstract Background This study aimed to use administrative data (AD) linked to the Victorian death index (VDI) to report on overall long‐term survival following colorectal cancer (CRC) surgery, comparing regional to metropolitan hospitals. Methods A retrospective cohort study using prospectively gathered AD linked to VDI. The primary outcome was overall survival (OS). Outcomes were adjusted for potential confounders via multivariable Cox proportional hazard regression analysis. Results Total of 17 533 patients: 12 879 metropolitan patients, 3835 inner regional patients and 719 outer regional patients. Multivariable Cox regression, adjusted for the effects of age, ASA score, Charlson score, position of tumour, mode of access, admission type, lymph node metastases, distant metastases, return to theatre, length of stay, HDU admission and discharge destination showed no difference in OS comparing CRC resection patients from inner or outer regional hospitals to metropolitan ((HR 1.02, 95% CI 0.95–1.09, P = 0.59) and (HR 0.97, 95% CI 0.85–1.11, P = 0.68) respectively). Conclusion This is the largest and most detailed study concerning OS after CRC resection involving Victorian public hospitals. There was no difference in OS following CRC resection when inner or outer regional hospitals were compared to metropolitan hospitals in Victoria. The study demonstrated the utility of AD with validated algorithms, linked to death data for reporting CRC survival outcomes.