Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions.
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...
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2013
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oai:doaj.org-article:a3d42b3ab21c495abcfbcf0c6a4554e12021-11-18T07:54:07ZHarnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions.1932-620310.1371/journal.pone.0058790https://doaj.org/article/a3d42b3ab21c495abcfbcf0c6a4554e12013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23520532/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Progress 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.Philip James BrittainSarah Elizabeth Margaret LoboJames RuckerMyanthi AmarasingheAnantha Padmanabha Pillai AnilkumarMartin BaggaleyPallavi BanerjeeJenny BearnMatthew BroadbentMatthew ButlerColin Donald CampbellAnthony James CleareLuiz DratcuSophia FrangouFiona GaughranMatthew GoldinAnnika HenkeNikola KernAbdallah KrayemFaiza MuftiRonan McIvorHumphrey Needham-BennettStuart NewmanDele OlajideDavid O'FlynnRanga RaoIjaz Ur RehmanGertrude SeneviratneDaniel StahlSajid SulemanJanet TreasureJohn TullyDavid VealeRobert StewartPeter McGuffinSimon LovestoneMatthew HotopfGunter SchumannPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e58790 (2013) |
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| collection |
DOAJ |
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| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q 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 Ur Rehman Gertrude Seneviratne Daniel Stahl Sajid Suleman Janet Treasure John Tully David Veale Robert Stewart Peter McGuffin Simon Lovestone Matthew Hotopf Gunter Schumann Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions. |
| description |
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. |
| format |
article |
| author |
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 Ur Rehman Gertrude Seneviratne Daniel Stahl Sajid Suleman Janet Treasure John Tully David Veale Robert Stewart Peter McGuffin Simon Lovestone Matthew Hotopf Gunter Schumann |
| author_facet |
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 Ur Rehman Gertrude Seneviratne Daniel Stahl Sajid Suleman Janet Treasure John Tully David Veale Robert Stewart Peter McGuffin Simon Lovestone Matthew Hotopf Gunter Schumann |
| author_sort |
Philip James Brittain |
| title |
Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions. |
| title_short |
Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions. |
| title_full |
Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions. |
| title_fullStr |
Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions. |
| title_full_unstemmed |
Harnessing clinical psychiatric data with an electronic assessment tool (OPCRIT+): the utility of symptom dimensions. |
| title_sort |
harnessing clinical psychiatric data with an electronic assessment tool (opcrit+): the utility of symptom dimensions. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2013 |
| url |
https://doaj.org/article/a3d42b3ab21c495abcfbcf0c6a4554e1 |
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