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Developing an algorithm to identify individuals with psychosis in secondary care in England: application using the Mental Health Services Data Set

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Developing an algorithm to identify individuals with psychosis in secondary care in England: application using the Mental Health Services Data Set. / de Oliveira, Claire; Matias, Maria Ana; Aragon Aragon, María José et al.
In: BJPsych Open, Vol. 11, No. 2, e37, 31.03.2025.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

de Oliveira, C, Matias, MA, Aragon Aragon, MJ, Anaya Montes, M, Osborn, D & Jacobs, R 2025, 'Developing an algorithm to identify individuals with psychosis in secondary care in England: application using the Mental Health Services Data Set', BJPsych Open, vol. 11, no. 2, e37. https://doi.org/10.1192/bjo.2024.853

APA

de Oliveira, C., Matias, M. A., Aragon Aragon, M. J., Anaya Montes, M., Osborn, D., & Jacobs, R. (2025). Developing an algorithm to identify individuals with psychosis in secondary care in England: application using the Mental Health Services Data Set. BJPsych Open, 11(2), Article e37. https://doi.org/10.1192/bjo.2024.853

Vancouver

de Oliveira C, Matias MA, Aragon Aragon MJ, Anaya Montes M, Osborn D, Jacobs R. Developing an algorithm to identify individuals with psychosis in secondary care in England: application using the Mental Health Services Data Set. BJPsych Open. 2025 Mar 31;11(2):e37. Epub 2025 Feb 27. doi: 10.1192/bjo.2024.853

Author

de Oliveira, Claire ; Matias, Maria Ana ; Aragon Aragon, María José et al. / Developing an algorithm to identify individuals with psychosis in secondary care in England : application using the Mental Health Services Data Set. In: BJPsych Open. 2025 ; Vol. 11, No. 2.

Bibtex

@article{f11c8b5c2e81419d8c20159c173f4cb2,
title = "Developing an algorithm to identify individuals with psychosis in secondary care in England: application using the Mental Health Services Data Set",
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.",
author = "{de Oliveira}, Claire and Matias, {Maria Ana} and {Aragon Aragon}, {Mar{\'i}a Jos{\'e}} and {Anaya Montes}, Misael and David Osborn and Rowena Jacobs",
year = "2025",
month = mar,
day = "31",
doi = "10.1192/bjo.2024.853",
language = "English",
volume = "11",
journal = "BJPsych Open",
issn = "2056-4724",
publisher = "Cambridge University Press",
number = "2",

}

RIS

TY - JOUR

T1 - Developing an algorithm to identify individuals with psychosis in secondary care in England

T2 - application using the Mental Health Services Data Set

AU - de Oliveira, Claire

AU - Matias, Maria Ana

AU - Aragon Aragon, María José

AU - Anaya Montes, Misael

AU - Osborn, David

AU - Jacobs, Rowena

PY - 2025/3/31

Y1 - 2025/3/31

N2 - 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.

AB - 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.

U2 - 10.1192/bjo.2024.853

DO - 10.1192/bjo.2024.853

M3 - Journal article

C2 - 40013696

VL - 11

JO - BJPsych Open

JF - BJPsych Open

SN - 2056-4724

IS - 2

M1 - e37

ER -