"Real world" populations compared to clinical trials : can electronic record linkage be used to identify trial eligible patients?
Baillie, Kelly and Crearie, Christine and Mueller, Tanja and Pan, Jiafeng and Jones, Rob and Bennie, Marion and Laskey, Jennifer (2018) "Real world" populations compared to clinical trials : can electronic record linkage be used to identify trial eligible patients? Journal of Oncology Pharmacy Practice, 24 (8 (Sup). ISSN 1477-092X (https://doi.org/10.1177/1078155218796724)
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Abstract
The Cancer Medicines Outcomes Programme aims to develop a process to determine clinical outcome data of cancer medicines in Scotland using routinely collected, electronically linked health records. Such, ‘real world’ patient populations are not necessarily directly comparable to clinical trial populations suggesting that outcome data from clinical trials may not provide a suitable benchmark. It is therefore important to be able to describe the demographics of a population to contextualise outcome data. The aim of this study was to determine whether electronic record linkage (ERL) could be used to evaluate the potential eligibility of patients for inclusion in a relevant clinical trial. Although many eligibility criteria used in the clinical trials could be applied to ERL, others could not. Nevertheless, ERL can be used to estimate the number of patients being treated with a specific cancer medicine who may have been eligible for inclusion in the respective trial – information that could be useful when comparing results from an observational study to clinical trial results.
ORCID iDs
Baillie, Kelly, Crearie, Christine, Mueller, Tanja ORCID: https://orcid.org/0000-0002-0418-4789, Pan, Jiafeng ORCID: https://orcid.org/0000-0001-5993-3209, Jones, Rob, Bennie, Marion ORCID: https://orcid.org/0000-0002-4046-629X and Laskey, Jennifer;-
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Item type: Article ID code: 65826 Dates: DateEvent1 December 2018Published25 September 2018Published OnlineSubjects: Medicine > Internal medicine > Neoplasms. Tumors. Oncology (including Cancer) Department: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
Faculty of Science > Mathematics and StatisticsDepositing user: Pure Administrator Date deposited: 17 Oct 2018 13:46 Last modified: 11 Nov 2024 12:08 URI: https://strathprints.strath.ac.uk/id/eprint/65826