The health informatics cohort enhancement project (HICE): using routinely collected primary care data to identify people with a lifetime diagnosis of psychotic disorder

Economou, Alexis, Grey, Michelle, McGregor, Joanna, Craddock, Nicholas John ORCID: https://orcid.org/0000-0003-2171-0610, Lyons, Ronan A., Owen, Michael John ORCID: https://orcid.org/0000-0003-4798-0862, Price, Vaughn, Thomson, Sue, Walters, James Tynan Rhys ORCID: https://orcid.org/0000-0002-6980-4053 and Lloyd, Keith 2012. The health informatics cohort enhancement project (HICE): using routinely collected primary care data to identify people with a lifetime diagnosis of psychotic disorder. BMC Research Notes 5 (1) , pp. 95-100. 10.1186/1756-0500-5-95

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Abstract

Background: We have previously demonstrated that routinely collected primary care data can be used to identify potential participants for trials in depression [1]. Here we demonstrate how patients with psychotic disorders can be identified from primary care records for potential inclusion in a cohort study. We discuss the strengths and limitations of this approach; assess its potential value and report challenges encountered. Methods: We designed an algorithm with which we searched for patients with a lifetime diagnosis of psychotic disorders within the Secure Anonymised Information Linkage (SAIL) database of routinely collected health data. The algorithm was validated against the "gold standard" of a well established operational criteria checklist for psychotic and affective illness (OPCRIT). Case notes of 100 patients from a community mental health team (CMHT) in Swansea were studied of whom 80 had matched GP records. Results: The algorithm had favourable test characteristics, with a very good ability to detect patients with psychotic disorders (sensitivity > 0.7) and an excellent ability not to falsely identify patients with psychotic disorders (specificity > 0.9). Conclusions: With certain limitations our algorithm can be used to search the general practice data and reliably identify patients with psychotic disorders. This may be useful in identifying candidates for potential inclusion in cohort studies.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Medicine Neuroscience and Mental Health Research Institute (NMHRI)
Subjects:	R Medicine > R Medicine (General) R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Publisher:	BioMed Central
ISSN:	1756-0500
Date of First Compliant Deposit:	30 March 2016
Last Modified:	26 May 2023 16:11
URI:	https://orca.cardiff.ac.uk/id/eprint/42954

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