Comparing the national cancer waiting times dataset with other linked electronic health records to measure treatment timeliness: A national cohort study of kidney cancer in England
This study demonstrates strong agreement in treatment records from a national, purpose-specific, and comparator datasets. Strengths of both data sources can be harnessed in linked data to evaluate treatment timeliness, enabling more detailed assessments of specific treatments and better definition of the start of treatment pathways.
Authors
- Thomas E. Cowling (ORCID: https://orcid.org/0000-0003-1524-4393)
- Marina Parry (ORCID: https://orcid.org/0000-0003-3278-9491)
- Emily Mayne
- Raghav Varma (ORCID: https://orcid.org/0000-0001-8149-9904)
- Arjun Nathan
- Jan van der Meulen
- Grant D. Stewart
- Amit Bahl
Institutions
- North Bristol NHS Trust (GB)
- Royal College of Surgeons of England (GB)
- University of Cambridge (GB)
- University Hospitals Bristol NHS Foundation Trust (GB)
- London School of Hygiene & Tropical Medicine (GB)
Publication Details
- Journal
- Cancer Epidemiology
- Published
- 2026-02-27
- DOI
- https://doi.org/10.1016/j.canep.2026.103030
- Primary Topic
- Healthcare Operations and Scheduling Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Mark Foundation For Cancer Research
- Llywodraeth Cymru
- Cancer Research UK
- National Institute for Health and Care Research
- Department of Health and Social Care
- NIHR Cambridge Biomedical Research Centre