Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method

Objectives To identify negative symptoms in the clinical records of a large sample of patients with schizophrenia using natural language processing and assess their relationship with clinical outcomes.Design Observational study using an anonymised electronic health record case register.Setting South...

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Main Authors: Robert Stewart, Hitesh Shetty, Matthew Broadbent, Angus Roberts, Rashmi Patel, Philip McGuire, Richard D Hayes, Nishamali Jayatilleke, Genevieve Gorrell, Chin-Kuo Chang, Richard Jackson, Nadia Foskett, Caroline Johnston
Format: Article
Language:English
Published: BMJ Publishing Group 2015-09-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/5/9/e007619.full
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author Robert Stewart
Hitesh Shetty
Matthew Broadbent
Angus Roberts
Rashmi Patel
Philip McGuire
Richard D Hayes
Nishamali Jayatilleke
Genevieve Gorrell
Chin-Kuo Chang
Richard Jackson
Nadia Foskett
Caroline Johnston
author_facet Robert Stewart
Hitesh Shetty
Matthew Broadbent
Angus Roberts
Rashmi Patel
Philip McGuire
Richard D Hayes
Nishamali Jayatilleke
Genevieve Gorrell
Chin-Kuo Chang
Richard Jackson
Nadia Foskett
Caroline Johnston
author_sort Robert Stewart
collection DOAJ
description Objectives To identify negative symptoms in the clinical records of a large sample of patients with schizophrenia using natural language processing and assess their relationship with clinical outcomes.Design Observational study using an anonymised electronic health record case register.Setting South London and Maudsley NHS Trust (SLaM), a large provider of inpatient and community mental healthcare in the UK.Participants 7678 patients with schizophrenia receiving care during 2011.Main outcome measures Hospital admission, readmission and duration of admission.Results 10 different negative symptoms were ascertained with precision statistics above 0.80. 41% of patients had 2 or more negative symptoms. Negative symptoms were associated with younger age, male gender and single marital status, and with increased likelihood of hospital admission (OR 1.24, 95% CI 1.10 to 1.39), longer duration of admission (β-coefficient 20.5 days, 7.6–33.5), and increased likelihood of readmission following discharge (OR 1.58, 1.28 to 1.95).Conclusions Negative symptoms were common and associated with adverse clinical outcomes, consistent with evidence that these symptoms account for much of the disability associated with schizophrenia. Natural language processing provides a means of conducting research in large representative samples of patients, using data recorded during routine clinical practice.
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spelling doaj-art-fb6ecff0c4d648e68671fb68dc288a7f2025-02-11T13:05:14ZengBMJ Publishing GroupBMJ Open2044-60552015-09-015910.1136/bmjopen-2015-007619Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated methodRobert Stewart0Hitesh Shetty1Matthew Broadbent2Angus Roberts3Rashmi Patel4Philip McGuire5Richard D Hayes6Nishamali Jayatilleke7Genevieve Gorrell8Chin-Kuo Chang9Richard Jackson10Nadia Foskett11Caroline Johnston12South London and Maudsley NHS Foundation Trust, London, UKSouth London and Maudsley NHS Foundation Trust. London, UK, London, UK3South London and Maudsley NHS Foundation Trust, Biomedical Research Centre Nucleus, London, UK1 Institute of Psychiatry, Psychology and Neuroscience, King`s College, London, UKPsychosis Clinical Academic Group, South London and Maudsley NHS Foundation Trust, London, UKDepartment of Psychiatry, University of Oxford, Oxford, England, UK2Department of Psychological Medicine, King`s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK2Department of Psychological Medicine, King`s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK5Department of Computer Science, The University of Sheffield, Portobello, Sheffield, UKGlobal Health Program, College of Public Health, National Taiwan University, Taipei City, TaiwanLiverpool Cancer Trials Unit, University of Liverpool, Liverpool, Merseyside, UK4Roche Products Limited, Welwyn Garden City, UK6Social Developmental and Genetic Psychiatry Department, King`s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UKObjectives To identify negative symptoms in the clinical records of a large sample of patients with schizophrenia using natural language processing and assess their relationship with clinical outcomes.Design Observational study using an anonymised electronic health record case register.Setting South London and Maudsley NHS Trust (SLaM), a large provider of inpatient and community mental healthcare in the UK.Participants 7678 patients with schizophrenia receiving care during 2011.Main outcome measures Hospital admission, readmission and duration of admission.Results 10 different negative symptoms were ascertained with precision statistics above 0.80. 41% of patients had 2 or more negative symptoms. Negative symptoms were associated with younger age, male gender and single marital status, and with increased likelihood of hospital admission (OR 1.24, 95% CI 1.10 to 1.39), longer duration of admission (β-coefficient 20.5 days, 7.6–33.5), and increased likelihood of readmission following discharge (OR 1.58, 1.28 to 1.95).Conclusions Negative symptoms were common and associated with adverse clinical outcomes, consistent with evidence that these symptoms account for much of the disability associated with schizophrenia. Natural language processing provides a means of conducting research in large representative samples of patients, using data recorded during routine clinical practice.https://bmjopen.bmj.com/content/5/9/e007619.full
spellingShingle Robert Stewart
Hitesh Shetty
Matthew Broadbent
Angus Roberts
Rashmi Patel
Philip McGuire
Richard D Hayes
Nishamali Jayatilleke
Genevieve Gorrell
Chin-Kuo Chang
Richard Jackson
Nadia Foskett
Caroline Johnston
Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method
BMJ Open
title Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method
title_full Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method
title_fullStr Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method
title_full_unstemmed Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method
title_short Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method
title_sort negative symptoms in schizophrenia a study in a large clinical sample of patients using a novel automated method
url https://bmjopen.bmj.com/content/5/9/e007619.full
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