Identifying the diagnostic gap of tardive dyskinesia: an analysis of semi-structured electronic health record data
This study highlights a pressing need for clinicians to better recognise and diagnose TD, which in turn may contribute to increased access to treatments for patients. A recorded ICD diagnosis of TD may be driven by factors related to both the patient and clinical setting.
Authors
- Rashmi Patel (ORCID: https://orcid.org/0000-0002-9259-8788)
- Christoph Ulrich Correll (ORCID: https://orcid.org/0000-0002-7254-5646)
- Kira Griffiths (ORCID: https://orcid.org/0000-0001-6885-086X)
- Lu Wang (ORCID: https://orcid.org/0000-0003-1427-4902)
- Zi Yao Lee (ORCID: https://orcid.org/0009-0000-4946-9457)
- Yida Won
Institutions
- London Metropolitan University (GB)
- Northwell Health (US)
- Feinstein Institute for Medical Research (US)
- University of Cambridge (GB)
- Donald & Barbara Zucker School of Medicine at Hofstra/Northwell (US)
- INSEAD (SG)
- Zucker Hillside Hospital (US)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1186/s12888-025-06780-w
- Citations
- 3
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.41