Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions

Philip James Brittain; Sarah Elizabeth Margaret Lobo; James Rucker; Myanthi Amarasinghe; Anantha Padmanabha Pillai Anilkumar; Martin Baggaley; Pallavi Banerjee; Jenny Bearn; Matthew Broadbent; Matthew Butler; Colin Donald Campbell; Anthony James Cleare; Luiz Dratcu; Sophia Frangou; Fiona Gaughran; Matthew Goldin; Annika Henke; Nikola Kern; Abdallah Krayem; Faiza Mufti; Ronan McIvor; Humphrey Needham-Bennett; Stuart Newman; Dele Olajide; David O'Flynn; Ranga Rao; Ijaz Rehman; Gertrude Seneviratne; Daniel Stahl; Sajid Suleman; Janet Treasure; John Tully; David Veale; Robert Stewart; Peter McGuffin; Simon Lovestone; Matthew Hotopf; Gunter Schumann

doi:10.1371/journal.pone.0058790

Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions

Philip James Brittain^*, Sarah Elizabeth Margaret Lobo, James Rucker, Myanthi Amarasinghe, Anantha Padmanabha Pillai Anilkumar, Martin Baggaley, Pallavi Banerjee, Jenny Bearn, Matthew Broadbent, Matthew Butler, Colin Donald Campbell, Anthony James Cleare, Luiz Dratcu, Sophia Frangou, Fiona Gaughran, Matthew Goldin, Annika Henke, Nikola Kern, Abdallah Krayem, Faiza MuftiRonan McIvor, Humphrey Needham-Bennett, Stuart Newman, Dele Olajide, David O'Flynn, Ranga Rao, Ijaz Rehman, Gertrude Seneviratne, Daniel Stahl, Sajid Suleman, Janet Treasure, John Tully, David Veale, Robert Stewart, Peter McGuffin, Simon Lovestone, Matthew Hotopf, Gunter Schumann

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

Progress in personalised psychiatry is dependent on researchers having access to systematic and accurately acquired symptom data across clinical diagnoses. We have developed a structured psychiatric assessment tool, OPCRIT+, that is being introduced into the electronic medical records system of the South London and Maudsley NHS Foundation Trust which can help to achieve this. In this report we examine the utility of the symptom data being collected with the tool. Cross-sectional mental state data from a mixed-diagnostic cohort of 876 inpatients was subjected to a principal components analysis (PCA). Six components, explaining 46% of the variance in recorded symptoms, were extracted. The components represented dimensions of mania, depression, positive symptoms, anxiety, negative symptoms and disorganization. As indicated by component scores, different clinical diagnoses demonstrated distinct symptom profiles characterized by wide-ranging levels of severity. When comparing the predictive value of symptoms against diagnosis for a variety of clinical outcome measures (e.g. 'Overactive, aggressive behaviour'), symptoms proved superior in five instances (R(2) range: 0.06-0.28) whereas diagnosis was best just once (R(2):0.25). This report demonstrates that symptom data being routinely gathered in an NHS trust, when documented on the appropriate tool, have considerable potential for onward use in a variety of clinical and research applications via representation as dimensions of psychopathology.

Original language	English
Article number	e58790
Pages (from-to)	e58790
Number of pages	8
Journal	PLoS ONE
Volume	8
Issue number	3
DOIs	https://doi.org/10.1371/journal.pone.0058790
Publication status	Published - 8 Mar 2013

Keywords

MAJOR PSYCHOSES
FUNCTIONAL PSYCHOSES
SCHIZOPHRENIA
POPULATION
DISORDERS
DIAGNOSIS
SYSTEM
HEALTH

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Brittain, P. J., Lobo, S. E. M., Rucker, J., Amarasinghe, M., Anilkumar, A. P. P., Baggaley, M., Banerjee, P., Bearn, J., Broadbent, M., Butler, M., Campbell, C. D., Cleare, A. J., Dratcu, L., Frangou, S., Gaughran, F., Goldin, M., Henke, A., Kern, N., Krayem, A., ... Schumann, G. (2013). Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions. PLoS ONE, 8(3), e58790. Article e58790. https://doi.org/10.1371/journal.pone.0058790

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abstract = "Progress in personalised psychiatry is dependent on researchers having access to systematic and accurately acquired symptom data across clinical diagnoses. We have developed a structured psychiatric assessment tool, OPCRIT+, that is being introduced into the electronic medical records system of the South London and Maudsley NHS Foundation Trust which can help to achieve this. In this report we examine the utility of the symptom data being collected with the tool. Cross-sectional mental state data from a mixed-diagnostic cohort of 876 inpatients was subjected to a principal components analysis (PCA). Six components, explaining 46% of the variance in recorded symptoms, were extracted. The components represented dimensions of mania, depression, positive symptoms, anxiety, negative symptoms and disorganization. As indicated by component scores, different clinical diagnoses demonstrated distinct symptom profiles characterized by wide-ranging levels of severity. When comparing the predictive value of symptoms against diagnosis for a variety of clinical outcome measures (e.g. 'Overactive, aggressive behaviour'), symptoms proved superior in five instances (R(2) range: 0.06-0.28) whereas diagnosis was best just once (R(2):0.25). This report demonstrates that symptom data being routinely gathered in an NHS trust, when documented on the appropriate tool, have considerable potential for onward use in a variety of clinical and research applications via representation as dimensions of psychopathology.",

keywords = "MAJOR PSYCHOSES, FUNCTIONAL PSYCHOSES, SCHIZOPHRENIA, POPULATION, DISORDERS, DIAGNOSIS, SYSTEM, HEALTH",

author = "Brittain, {Philip James} and Lobo, {Sarah Elizabeth Margaret} and James Rucker and Myanthi Amarasinghe and Anilkumar, {Anantha Padmanabha Pillai} and Martin Baggaley and Pallavi Banerjee and Jenny Bearn and Matthew Broadbent and Matthew Butler and Campbell, {Colin Donald} and Cleare, {Anthony James} and Luiz Dratcu and Sophia Frangou and Fiona Gaughran and Matthew Goldin and Annika Henke and Nikola Kern and Abdallah Krayem and Faiza Mufti and Ronan McIvor and Humphrey Needham-Bennett and Stuart Newman and Dele Olajide and David O'Flynn and Ranga Rao and Ijaz Rehman and Gertrude Seneviratne and Daniel Stahl and Sajid Suleman and Janet Treasure and John Tully and David Veale and Robert Stewart and Peter McGuffin and Simon Lovestone and Matthew Hotopf and Gunter Schumann",

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Brittain, PJ , Lobo, SEM , Rucker, J , Amarasinghe, M, Anilkumar, APP, Baggaley, M, Banerjee, P, Bearn, J, Broadbent, M, Butler, M, Campbell, CD , Cleare, AJ, Dratcu, L, Frangou, S, Gaughran, F, Goldin, M, Henke, A, Kern, N, Krayem, A, Mufti, F, McIvor, R, Needham-Bennett, H, Newman, S, Olajide, D, O'Flynn, D, Rao, R, Rehman, I , Seneviratne, G , Stahl, D, Suleman, S, Treasure, J , Tully, J , Veale, D , Stewart, R , McGuffin, P , Lovestone, S , Hotopf, M & Schumann, G 2013, 'Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions', PLoS ONE, vol. 8, no. 3, e58790, pp. e58790. https://doi.org/10.1371/journal.pone.0058790

TY - JOUR

T1 - Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+)

T2 - the utility of symptom dimensions

AU - Brittain, Philip James

AU - Lobo, Sarah Elizabeth Margaret

AU - Rucker, James

AU - Amarasinghe, Myanthi

AU - Anilkumar, Anantha Padmanabha Pillai

AU - Baggaley, Martin

AU - Banerjee, Pallavi

AU - Bearn, Jenny

AU - Broadbent, Matthew

AU - Butler, Matthew

AU - Campbell, Colin Donald

AU - Cleare, Anthony James

AU - Dratcu, Luiz

AU - Frangou, Sophia

AU - Gaughran, Fiona

AU - Goldin, Matthew

AU - Henke, Annika

AU - Kern, Nikola

AU - Krayem, Abdallah

AU - Mufti, Faiza

AU - McIvor, Ronan

AU - Needham-Bennett, Humphrey

AU - Newman, Stuart

AU - Olajide, Dele

AU - O'Flynn, David

AU - Rao, Ranga

AU - Rehman, Ijaz

AU - Seneviratne, Gertrude

AU - Stahl, Daniel

AU - Suleman, Sajid

AU - Treasure, Janet

AU - Tully, John

AU - Veale, David

AU - Stewart, Robert

AU - McGuffin, Peter

AU - Lovestone, Simon

AU - Hotopf, Matthew

AU - Schumann, Gunter

PY - 2013/3/8

Y1 - 2013/3/8

N2 - Progress in personalised psychiatry is dependent on researchers having access to systematic and accurately acquired symptom data across clinical diagnoses. We have developed a structured psychiatric assessment tool, OPCRIT+, that is being introduced into the electronic medical records system of the South London and Maudsley NHS Foundation Trust which can help to achieve this. In this report we examine the utility of the symptom data being collected with the tool. Cross-sectional mental state data from a mixed-diagnostic cohort of 876 inpatients was subjected to a principal components analysis (PCA). Six components, explaining 46% of the variance in recorded symptoms, were extracted. The components represented dimensions of mania, depression, positive symptoms, anxiety, negative symptoms and disorganization. As indicated by component scores, different clinical diagnoses demonstrated distinct symptom profiles characterized by wide-ranging levels of severity. When comparing the predictive value of symptoms against diagnosis for a variety of clinical outcome measures (e.g. 'Overactive, aggressive behaviour'), symptoms proved superior in five instances (R(2) range: 0.06-0.28) whereas diagnosis was best just once (R(2):0.25). This report demonstrates that symptom data being routinely gathered in an NHS trust, when documented on the appropriate tool, have considerable potential for onward use in a variety of clinical and research applications via representation as dimensions of psychopathology.

AB - Progress in personalised psychiatry is dependent on researchers having access to systematic and accurately acquired symptom data across clinical diagnoses. We have developed a structured psychiatric assessment tool, OPCRIT+, that is being introduced into the electronic medical records system of the South London and Maudsley NHS Foundation Trust which can help to achieve this. In this report we examine the utility of the symptom data being collected with the tool. Cross-sectional mental state data from a mixed-diagnostic cohort of 876 inpatients was subjected to a principal components analysis (PCA). Six components, explaining 46% of the variance in recorded symptoms, were extracted. The components represented dimensions of mania, depression, positive symptoms, anxiety, negative symptoms and disorganization. As indicated by component scores, different clinical diagnoses demonstrated distinct symptom profiles characterized by wide-ranging levels of severity. When comparing the predictive value of symptoms against diagnosis for a variety of clinical outcome measures (e.g. 'Overactive, aggressive behaviour'), symptoms proved superior in five instances (R(2) range: 0.06-0.28) whereas diagnosis was best just once (R(2):0.25). This report demonstrates that symptom data being routinely gathered in an NHS trust, when documented on the appropriate tool, have considerable potential for onward use in a variety of clinical and research applications via representation as dimensions of psychopathology.

KW - MAJOR PSYCHOSES

KW - FUNCTIONAL PSYCHOSES

KW - SCHIZOPHRENIA

KW - POPULATION

KW - DISORDERS

KW - DIAGNOSIS

KW - SYSTEM

KW - HEALTH

U2 - 10.1371/journal.pone.0058790

DO - 10.1371/journal.pone.0058790

M3 - Article

C2 - 23520532

SN - 1932-6203

VL - 8

SP - e58790

JO - PLoS ONE

JF - PLoS ONE

IS - 3

M1 - e58790

ER -

Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions

Abstract

Keywords

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