Abstract
Data from Northeast Scotland for 11,803 cancer patients (diagnosed 2007-13) was linked to UK Censuses to explore relationships between hospital travel-time, timely-treatment and one-year-mortality, adjusting for both area and individual-level socioeconomic status (SES). Adjusting for area-based SES, those living >60 minutes from hospital received timelytreatment more often than those living <15 minutes. Substituting individual-level SES
changed little. Adjusting for area-based SES those living >60 minutes from hospital died within one year more often than those living <15 minutes. Again, substituting individuallevel SES changed little. In Northeast Scotland distance to services, rather than individual
SES, likely explains poorer rural cancer survival.
Original language | English |
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Article number | 11 |
Number of pages | 24 |
Journal | International Journal of Population Data Science |
Volume | 6 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Apr 2021 |
Bibliographical note
FUNDINGThis project was conducted without external funding and with the support of the Administrative Data Research Network as an exemplar project to demonstrate the feasibility of linking clinical datasets to data from the UK Census.
ACKNOWLEDGEMENTS
We acknowledge the support from three sources to conduct this project. We are grateful for support from Professor Corri Black, Dr Joanne Lumsden and Dr Vicky Munro at the Data Safe Haven (DaSH) of NHS Grampian and University of Aberdeen. We also gratefully for the support received from Amy Tilbrook, Suhail Iqbal and Julian Augley from the Electronic Data Research and Innovation Service (eDRIS) of Public Health Scotland. We also acknowledge the support of the Scottish Centre for Administrative Data Research (ADR Scotland).
Keywords
- cancer
- rurality
- geography
- Data-linkage
- Delay
- Primary care
- Treatment
- Mortality
- Census