Claire de Oliveira, Maria Ana Matias, María José Aragon Aragon, Misael Anaya Montes, David Osborn, Rowena Jacobs
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引用次数: 0
Abstract
Background: There is currently no definitive method for identifying individuals with psychosis in secondary care on a population-level using administrative healthcare data from England.
Aims: To develop various algorithms to identify individuals with psychosis in the Mental Health Services Data Set (MHSDS), guided by national estimates of the prevalence of psychosis.
Method: Using a combination of data elements in the MHSDS for financial years 2017-2018 and 2018-2019 (mental health cluster (a way to describe and classify a group of individuals with similar characteristics), Health of the Nation Outcome Scale (HoNOS) scores, reason for referral, primary diagnosis, first-episode psychosis flag, early intervention in psychosis team flag), we developed 12 unique algorithms to detect individuals with psychosis seen in secondary care. The resulting numbers were then compared with national estimates of the prevalence of psychosis to ascertain whether they were reasonable or not.
Results: The 12 algorithms produced 99 204-138 516 and 107 545-134 954 cases of psychosis for financial years 2017-2018 and 2018-2019, respectively, in line with national prevalence estimates. The numbers of cases of psychosis identified by the different algorithms differed according to the type and number (3-6) of data elements used. Most algorithms identified the same core of patients.
Conclusions: The MHSDS can be used to identify individuals with psychosis in secondary care in England. Users can employ several algorithms to do so, depending on the objective of their analysis and their preference regarding the data elements employed. These algorithms could be used for surveillance, research and/or policy purposes.
期刊介绍:
Announcing the launch of BJPsych Open, an exciting new open access online journal for the publication of all methodologically sound research in all fields of psychiatry and disciplines related to mental health. BJPsych Open will maintain the highest scientific, peer review, and ethical standards of the BJPsych, ensure rapid publication for authors whilst sharing research with no cost to the reader in the spirit of maximising dissemination and public engagement. Cascade submission from BJPsych to BJPsych Open is a new option for authors whose first priority is rapid online publication with the prestigious BJPsych brand. Authors will also retain copyright to their works under a creative commons license.