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Mental health in South East London general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input
BACKGROUND: Psychiatric illnesses are prevalent in general hospitals and associated with length of stay (LOS). Liaison psychiatry teams provide psychiatric care in acute hospitals and can improve mental health-related outcomes but, to achieve ambitious policy targets, services must understand local...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854363/ https://www.ncbi.nlm.nih.gov/pubmed/31608847 http://dx.doi.org/10.1192/bjo.2019.79 |
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author | Jones, Abbeygail Todman, Helen Husain, Mujtaba |
author_facet | Jones, Abbeygail Todman, Helen Husain, Mujtaba |
author_sort | Jones, Abbeygail |
collection | PubMed |
description | BACKGROUND: Psychiatric illnesses are prevalent in general hospitals and associated with length of stay (LOS). Liaison psychiatry teams provide psychiatric care in acute hospitals and can improve mental health-related outcomes but, to achieve ambitious policy targets, services must understand local need. AIMS: Using electronic patient records, we investigate associations between psychiatric diagnoses and LOS in South East London hospitals. METHOD: Patient records were extracted using the South London and Maudsley NHS Foundation Trust Biomedical Research Centre Case Register Interactive Search system. There were 6378 admissions seen by liaison psychiatry aged <65 years between 2011 and 2016. Linear mixed-effects models investigated the impact of psychiatric diagnoses on LOS. Potential confounders included medical diagnoses, gender, age, ethnicity, social deprivation, hospital site and investment per admission. RESULTS: According to marginal means, longer LOS is associated with primary diagnoses of organic disorders (mean: 23 days, 95% CI 20.39–25.61), depressive disorders (mean: 11.03 days, 95% CI 9.74–25.61) and psychotic disorders (mean: 10.63 days, 95% CI 8.75–12.51). Shorter LOS is associated with personality disorders (mean: 6.28 days, 95% CI 4.12–8.45), bipolar affective disorders (mean 6.81 days, 95% CI 3.49–10.14) and substance-related problems (mean 7.53 days, 95% CI 6.01–9.05). CONCLUSIONS: Psychiatric diagnoses have differential associations with in-patient LOS. Liaison psychiatry teams aim to mitigate the impact of psychiatric illness on patient and hospital outcomes but understanding local need and the wider context of care provision is needed to maximise potential benefits. DECLARATION OF INTEREST: M.H. is a consultant liaison psychiatrist for King's College Hospital adult liaison psychiatry team. At the time of writing, H.T. was senior business manager at SLaM psychological medicine and integrated care clinical academic group. These may be considered financial and/or non-financial interests given the implications of findings for service funding. |
format | Online Article Text |
id | pubmed-6854363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68543632019-11-22 Mental health in South East London general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input Jones, Abbeygail Todman, Helen Husain, Mujtaba BJPsych Open Papers BACKGROUND: Psychiatric illnesses are prevalent in general hospitals and associated with length of stay (LOS). Liaison psychiatry teams provide psychiatric care in acute hospitals and can improve mental health-related outcomes but, to achieve ambitious policy targets, services must understand local need. AIMS: Using electronic patient records, we investigate associations between psychiatric diagnoses and LOS in South East London hospitals. METHOD: Patient records were extracted using the South London and Maudsley NHS Foundation Trust Biomedical Research Centre Case Register Interactive Search system. There were 6378 admissions seen by liaison psychiatry aged <65 years between 2011 and 2016. Linear mixed-effects models investigated the impact of psychiatric diagnoses on LOS. Potential confounders included medical diagnoses, gender, age, ethnicity, social deprivation, hospital site and investment per admission. RESULTS: According to marginal means, longer LOS is associated with primary diagnoses of organic disorders (mean: 23 days, 95% CI 20.39–25.61), depressive disorders (mean: 11.03 days, 95% CI 9.74–25.61) and psychotic disorders (mean: 10.63 days, 95% CI 8.75–12.51). Shorter LOS is associated with personality disorders (mean: 6.28 days, 95% CI 4.12–8.45), bipolar affective disorders (mean 6.81 days, 95% CI 3.49–10.14) and substance-related problems (mean 7.53 days, 95% CI 6.01–9.05). CONCLUSIONS: Psychiatric diagnoses have differential associations with in-patient LOS. Liaison psychiatry teams aim to mitigate the impact of psychiatric illness on patient and hospital outcomes but understanding local need and the wider context of care provision is needed to maximise potential benefits. DECLARATION OF INTEREST: M.H. is a consultant liaison psychiatrist for King's College Hospital adult liaison psychiatry team. At the time of writing, H.T. was senior business manager at SLaM psychological medicine and integrated care clinical academic group. These may be considered financial and/or non-financial interests given the implications of findings for service funding. Cambridge University Press 2019-10-14 /pmc/articles/PMC6854363/ /pubmed/31608847 http://dx.doi.org/10.1192/bjo.2019.79 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. |
spellingShingle | Papers Jones, Abbeygail Todman, Helen Husain, Mujtaba Mental health in South East London general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input |
title | Mental health in South East London general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input |
title_full | Mental health in South East London general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input |
title_fullStr | Mental health in South East London general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input |
title_full_unstemmed | Mental health in South East London general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input |
title_short | Mental health in South East London general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input |
title_sort | mental health in south east london general hospitals: using electronic patient records to explore associations between psychiatric diagnoses and length of stay in a patient cohort receiving liaison psychiatry input |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854363/ https://www.ncbi.nlm.nih.gov/pubmed/31608847 http://dx.doi.org/10.1192/bjo.2019.79 |
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