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Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study
BACKGROUND: The higher mortality rates in people with severe mental illness (SMI) may be partly due to inadequate integration of physical and mental healthcare. Accurate recording of SMI during hospital admissions has the potential to facilitate integrated care including tailoring of treatment to ac...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498001/ https://www.ncbi.nlm.nih.gov/pubmed/32941435 http://dx.doi.org/10.1371/journal.pmed.1003306 |
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author | Mansour, Hassan Mueller, Christoph Davis, Katrina A. S. Burton, Alexandra Shetty, Hitesh Hotopf, Matthew Osborn, David Stewart, Robert Sommerlad, Andrew |
author_facet | Mansour, Hassan Mueller, Christoph Davis, Katrina A. S. Burton, Alexandra Shetty, Hitesh Hotopf, Matthew Osborn, David Stewart, Robert Sommerlad, Andrew |
author_sort | Mansour, Hassan |
collection | PubMed |
description | BACKGROUND: The higher mortality rates in people with severe mental illness (SMI) may be partly due to inadequate integration of physical and mental healthcare. Accurate recording of SMI during hospital admissions has the potential to facilitate integrated care including tailoring of treatment to account for comorbidities. We therefore aimed to investigate the sensitivity of SMI recording within general hospitals, changes in diagnostic accuracy over time, and factors associated with accurate recording. METHODS AND FINDINGS: We undertook a cohort study of 13,786 adults with SMI diagnosed during 2006–2017, using data from a large secondary mental healthcare database as reference standard, linked to English national records for 45,706 emergency hospital admissions. We examined general hospital record sensitivity across patients’ subsequent hospital records, for each subsequent emergency admission, and at different levels of diagnostic precision. We analyzed time trends during the study period and used logistic regression to examine sociodemographic and clinical factors associated with psychiatric recording accuracy, with multiple imputation for missing data. Sensitivity for recording of SMI as any mental health diagnosis was 76.7% (95% CI 76.0–77.4). Category-level sensitivity (e.g., proportion of individuals with schizophrenia spectrum disorders (F20-29) who received any F20-29 diagnosis in hospital records) was 56.4% (95% CI 55.4–57.4) for schizophrenia spectrum disorder and 49.7% (95% CI 48.1–51.3) for bipolar affective disorder. Sensitivity for SMI recording in emergency admissions increased from 47.8% (95% CI 43.1–52.5) in 2006 to 75.4% (95% CI 68.3–81.4) in 2017 (ptrend < 0.001). Minority ethnicity, being married, and having better mental and physical health were associated with less accurate diagnostic recording. The main limitation of our study is the potential for misclassification of diagnosis in the reference-standard mental healthcare data. CONCLUSIONS: Our findings suggest that there have been improvements in recording of SMI diagnoses, but concerning under-recording, especially in minority ethnic groups, persists. Training in culturally sensitive diagnosis, expansion of liaison psychiatry input in general hospitals, and improved data sharing between physical and mental health services may be required to reduce inequalities in diagnostic practice. |
format | Online Article Text |
id | pubmed-7498001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-74980012020-09-24 Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study Mansour, Hassan Mueller, Christoph Davis, Katrina A. S. Burton, Alexandra Shetty, Hitesh Hotopf, Matthew Osborn, David Stewart, Robert Sommerlad, Andrew PLoS Med Research Article BACKGROUND: The higher mortality rates in people with severe mental illness (SMI) may be partly due to inadequate integration of physical and mental healthcare. Accurate recording of SMI during hospital admissions has the potential to facilitate integrated care including tailoring of treatment to account for comorbidities. We therefore aimed to investigate the sensitivity of SMI recording within general hospitals, changes in diagnostic accuracy over time, and factors associated with accurate recording. METHODS AND FINDINGS: We undertook a cohort study of 13,786 adults with SMI diagnosed during 2006–2017, using data from a large secondary mental healthcare database as reference standard, linked to English national records for 45,706 emergency hospital admissions. We examined general hospital record sensitivity across patients’ subsequent hospital records, for each subsequent emergency admission, and at different levels of diagnostic precision. We analyzed time trends during the study period and used logistic regression to examine sociodemographic and clinical factors associated with psychiatric recording accuracy, with multiple imputation for missing data. Sensitivity for recording of SMI as any mental health diagnosis was 76.7% (95% CI 76.0–77.4). Category-level sensitivity (e.g., proportion of individuals with schizophrenia spectrum disorders (F20-29) who received any F20-29 diagnosis in hospital records) was 56.4% (95% CI 55.4–57.4) for schizophrenia spectrum disorder and 49.7% (95% CI 48.1–51.3) for bipolar affective disorder. Sensitivity for SMI recording in emergency admissions increased from 47.8% (95% CI 43.1–52.5) in 2006 to 75.4% (95% CI 68.3–81.4) in 2017 (ptrend < 0.001). Minority ethnicity, being married, and having better mental and physical health were associated with less accurate diagnostic recording. The main limitation of our study is the potential for misclassification of diagnosis in the reference-standard mental healthcare data. CONCLUSIONS: Our findings suggest that there have been improvements in recording of SMI diagnoses, but concerning under-recording, especially in minority ethnic groups, persists. Training in culturally sensitive diagnosis, expansion of liaison psychiatry input in general hospitals, and improved data sharing between physical and mental health services may be required to reduce inequalities in diagnostic practice. Public Library of Science 2020-09-17 /pmc/articles/PMC7498001/ /pubmed/32941435 http://dx.doi.org/10.1371/journal.pmed.1003306 Text en © 2020 Mansour et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mansour, Hassan Mueller, Christoph Davis, Katrina A. S. Burton, Alexandra Shetty, Hitesh Hotopf, Matthew Osborn, David Stewart, Robert Sommerlad, Andrew Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study |
title | Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study |
title_full | Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study |
title_fullStr | Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study |
title_full_unstemmed | Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study |
title_short | Severe mental illness diagnosis in English general hospitals 2006-2017: A registry linkage study |
title_sort | severe mental illness diagnosis in english general hospitals 2006-2017: a registry linkage study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498001/ https://www.ncbi.nlm.nih.gov/pubmed/32941435 http://dx.doi.org/10.1371/journal.pmed.1003306 |
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