Emma Clare Tallantyre

Oct 16, 2024 | jnnp.bmj.com | Richard Nicholas |Emma Clare Tallantyre |James Witts |Ruth Ann Marrie

DiscussionWe describe an algorithm to identify pwMS within a national routine data repository. We used a clinician-confirmed population-based cohort, and a self-declared previously validated12 cohort to validate the algorithm, confirming high sensitivity and specificity. We were able to demonstrate that the age at diagnosis calculated by the algorithm is similar to the age at diagnosis self-reported by patients and confirmed by clinicians within both validation cohorts.

May 23, 2024 | jnnp.bmj.com | Richard Nicholas |Emma Clare Tallantyre |James Witts |Ruth Ann Marrie

MethodsWe used a cross-sectional population-based cohort study to develop an algorithm to identify pwMS living in Wales, using SAIL. SAIL uses a trusted third party (NHS Wales) to implement a unique Anonymous Linking Field (ALF) as records are loaded into the repository.4 Users of SAIL are not allowed to use any method to identify patients within it. We used the following datasets:Individuals registered with Welsh GPs (https://data.sail.ukserp.ac.uk/Asset/View/20).