| Title: | Using data linkage to electronic patient records to assess the validity of selected mental health diagnoses in English Hospital Episode Statistics (HES) |
| Journal: | PLOS ONE |
| Published: | 26 Mar 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/29579109/ |
| DOI: | https://doi.org/10.1371/journal.pone.0195002 |
| URL: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0195002&type=printable |
Publication 7344
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Abstract
BACKGROUND: Administrative data can be used to support research, such as in the UK Biobank. Hospital Episode Statistics (HES) are national data for England that include contain ICD-10 diagnoses for inpatient mental healthcare episodes, but the validity of these diagnoses for research purposes has not been assessed.METHODS: 250 peoples' HES records were selected based on a HES recorded inpatient stay at the South London and Maudsley NHS Foundation Trust with a diagnosis of schizophrenia, a wider schizophrenia spectrum disorder, bipolar affective disorder or unipolar depression. A gold-standard research diagnosis was made using Clinical Records Interactive Search pseudonymised electronic patient records using, and the OPCRIT+ algorithm.
RESULTS: Positive predictive value at the level of lifetime psychiatric disorder was 100%, and at the level of lifetime diagnosis in the four categories of schizophrenia, wider schizophrenia spectrum, bipolar or unipolar depression was 73% (68-79). Agreement varied by diagnosis, with schizophrenia having the highest PPV at 90% (80-96). Each person had an average of five psychiatric HES records. An algorithm that looked at the last recorded psychiatric diagnosis led to greatest overall agreement with the research diagnosis.
DISCUSSION: For people who have a HES record from a psychiatric admission with a diagnosis of schizophrenia spectrum disorder, bipolar affective disorder or unipolar depression, HES records appear to be a good indicator of a mental disorder, and can provide a diagnostic category with reasonable certainty. For these diagnoses, HES records can be an effective way of ascertaining psychiatric diagnosis.
7 Authors
- Katrina Alice Southworth Davis
- Oliver Bashford
- Amelia Jewell
- Hitesh Shetty
- Robert J. Stewart
- Cathie L. M. Sudlow
- Matthew Hugo Hotopf
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