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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Language: | English |
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BMJ Publishing Group
2015-09-01
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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. |
format | Article |
id | doaj-art-fb6ecff0c4d648e68671fb68dc288a7f |
institution | Kabale University |
issn | 2044-6055 |
language | English |
publishDate | 2015-09-01 |
publisher | BMJ Publishing Group |
record_format | Article |
series | BMJ Open |
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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