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Creation of the first national linked colorectal cancer dataset in Scotland: prospects for future research and a reflection on lessons learned.
Hanna, Catherine R; Lemmon, Elizabeth; Ennis, Holly; Jones, Robert J; Hay, Joy; Halliday, Roger; Clark, Steve; Morris, Eva; Hall, Peter.
Affiliation
  • Hanna CR; CRUK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, 1042 Great Western Road, Glasgow, G12 OYN.
  • Lemmon E; Edinburgh Health Economics, University of Edinburgh,NINE BioQuarter 9 Little France Road Edinburgh EH16 4UX.
  • Ennis H; Edinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, NINE, 9 Little France Road, Edinburgh BioQuarter, Edinburgh EH16 4UX.
  • Jones RJ; CRUK Clinical Trials Unit, Institute of Cancer Sciences, University of Glasgow, 1042 Great Western Road, Glasgow, G12 OYN.
  • Hay J; Electronic Data Research and Innovation Service (eDRIS) Public Health Scotland, NINE BioQuarter 9 Little France Road Edinburgh EH16 4UX.
  • Halliday R; University of Glasgow and Chief Statistician, Scottish Government, St Andrew's house, Regent Road, Edinburgh, EH1 3DG.
  • Clark S; Patient Public Group Member, Bowel Cancer Intelligence (BCI) UK, University of Leeds, LIDA, Worsely Building, Leeds, LS2 9JT.
  • Morris E; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Big Data Institute, Nuffield Department of Population Health, University of Oxford, Old Road Campus OX3 7LF.
  • Hall P; Edinburgh Cancer Research Centre and Edinburgh Health Economics, University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh EH4 2XR.
Int J Popul Data Sci ; 6(1): 1654, 2021 Mar 31.
Article in En | MEDLINE | ID: mdl-34007905
ABSTRACT

INTRODUCTION:

Current understanding of cancer patients, their treatment pathways and outcomes relies mainly on information from clinical trials and prospective research studies representing a selected sub-set of the patient population. Whole-population analysis is necessary if we are to assess the true impact of new interventions or policy in a real-world setting. Accurate measurement of geographic variation in healthcare use and outcomes also relies on population-level data. Routine access to such data offers efficiency in research resource allocation and a basis for policy that addresses inequalities in care provision.

OBJECTIVE:

Acknowledging these benefits, the objective of this project was to create a population level dataset in Scotland of patients with a diagnosis of colorectal cancer (CRC).

METHODS:

This paper describes the process of creating a novel, national dataset in Scotland.

RESULTS:

In total, thirty two separate healthcare administrative datasets have been linked to provide a comprehensive resource to investigate the management pathways and outcomes for patients with CRC in Scotland, as well as the costs of providing CRC treatment. This is the first time that chemotherapy prescribing and national audit datasets have been linked with the Scottish Cancer Registry on a national scale.

CONCLUSIONS:

We describe how the acquired dataset can be used as a research resource and reflect on the data access challenges relating to its creation. Lessons learned from this process and the policy implications for future studies using administrative cancer data are highlighted.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms Type of study: Diagnostic_studies / Health_economic_evaluation / Observational_studies / Prognostic_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Int J Popul Data Sci Year: 2021 Document type: Article Publication country: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colorectal Neoplasms Type of study: Diagnostic_studies / Health_economic_evaluation / Observational_studies / Prognostic_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: Int J Popul Data Sci Year: 2021 Document type: Article Publication country: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM