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Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions

BACKGROUND: With the increasing burden of mental illness globally, it is becoming common for hospitalised patients with chronic medical conditions to have a comorbidity of mental illness. This combination could prolong length of stay (LOS) of this patient cohort. We conducted an investigation in Tas...

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Autores principales: Siddiqui, Nazlee, Dwyer, Mitchell, Stankovich, Jim, Peterson, Gregory, Greenfield, David, Si, Lei, Kinsman, Leigh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020383/
https://www.ncbi.nlm.nih.gov/pubmed/29945622
http://dx.doi.org/10.1186/s12913-018-3316-2
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author Siddiqui, Nazlee
Dwyer, Mitchell
Stankovich, Jim
Peterson, Gregory
Greenfield, David
Si, Lei
Kinsman, Leigh
author_facet Siddiqui, Nazlee
Dwyer, Mitchell
Stankovich, Jim
Peterson, Gregory
Greenfield, David
Si, Lei
Kinsman, Leigh
author_sort Siddiqui, Nazlee
collection PubMed
description BACKGROUND: With the increasing burden of mental illness globally, it is becoming common for hospitalised patients with chronic medical conditions to have a comorbidity of mental illness. This combination could prolong length of stay (LOS) of this patient cohort. We conducted an investigation in Tasmania, Australian hospitals to characterise this cohort and assess if co-morbidity of mental illness is a distinguishing factor that generates LOS variation across different chronic medical conditions. METHODS: The retrospective study analysed 16,898 admissions of patients with a primary diagnosis of one of five chronic medical conditions: lung or colorectal cancer, chronic obstructive pulmonary disease (COPD), type II diabetes, ischaemic heart disease (IHD) and stroke. Data were from July 2010 to June 2015, across four hospitals that collectively cover 95% of public hospital admissions in Tasmania, Australia. Descriptive statistics were used to compare characteristics of patients between the scenarios of with and without co-morbidity of mental illness. We used negative binomial regression models to assess whether co-morbidity of mental illness, along with its sub-types, after adjustment for potential confounding variables, associated with LOS variation in patients of each medical condition. Based on the adjusted LOS variation, we estimated differences in bed days’ use between patients with and without comorbidity of mental illness. RESULTS: Patients with co-morbidity of mental illness were significantly younger in comparison to patients without mental illness. With each medical condition, patients with comorbidity of mental illness had incurred higher bed days’ use than for those without mental illness. In cancer and stroke cohorts, co-morbidity of mental illness unfavourably affected the LOS variation by as high as 97% (CI: 49.9%–159%) and 109% (78%–146%), respectively. Though mental and behavioural disorders due to psychoactive substances was a dominant sub-type of mental illness across the medical conditions, it contributed significant unfavourable LOS variation only in the stroke patients i.e. 36.3% (CI: 16.2%–59.9%). CONCLUSIONS: Mental illness consistently produced unfavourable LOS variation. Upskilling of healthcare teams and greater reporting and analysis of LOS variation for this patient cohort, and the sub-cohorts within it, are necessary to provide improved medical care and achieve system efficiencies.
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spelling pubmed-60203832018-07-06 Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions Siddiqui, Nazlee Dwyer, Mitchell Stankovich, Jim Peterson, Gregory Greenfield, David Si, Lei Kinsman, Leigh BMC Health Serv Res Research Article BACKGROUND: With the increasing burden of mental illness globally, it is becoming common for hospitalised patients with chronic medical conditions to have a comorbidity of mental illness. This combination could prolong length of stay (LOS) of this patient cohort. We conducted an investigation in Tasmania, Australian hospitals to characterise this cohort and assess if co-morbidity of mental illness is a distinguishing factor that generates LOS variation across different chronic medical conditions. METHODS: The retrospective study analysed 16,898 admissions of patients with a primary diagnosis of one of five chronic medical conditions: lung or colorectal cancer, chronic obstructive pulmonary disease (COPD), type II diabetes, ischaemic heart disease (IHD) and stroke. Data were from July 2010 to June 2015, across four hospitals that collectively cover 95% of public hospital admissions in Tasmania, Australia. Descriptive statistics were used to compare characteristics of patients between the scenarios of with and without co-morbidity of mental illness. We used negative binomial regression models to assess whether co-morbidity of mental illness, along with its sub-types, after adjustment for potential confounding variables, associated with LOS variation in patients of each medical condition. Based on the adjusted LOS variation, we estimated differences in bed days’ use between patients with and without comorbidity of mental illness. RESULTS: Patients with co-morbidity of mental illness were significantly younger in comparison to patients without mental illness. With each medical condition, patients with comorbidity of mental illness had incurred higher bed days’ use than for those without mental illness. In cancer and stroke cohorts, co-morbidity of mental illness unfavourably affected the LOS variation by as high as 97% (CI: 49.9%–159%) and 109% (78%–146%), respectively. Though mental and behavioural disorders due to psychoactive substances was a dominant sub-type of mental illness across the medical conditions, it contributed significant unfavourable LOS variation only in the stroke patients i.e. 36.3% (CI: 16.2%–59.9%). CONCLUSIONS: Mental illness consistently produced unfavourable LOS variation. Upskilling of healthcare teams and greater reporting and analysis of LOS variation for this patient cohort, and the sub-cohorts within it, are necessary to provide improved medical care and achieve system efficiencies. BioMed Central 2018-06-27 /pmc/articles/PMC6020383/ /pubmed/29945622 http://dx.doi.org/10.1186/s12913-018-3316-2 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Siddiqui, Nazlee
Dwyer, Mitchell
Stankovich, Jim
Peterson, Gregory
Greenfield, David
Si, Lei
Kinsman, Leigh
Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions
title Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions
title_full Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions
title_fullStr Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions
title_full_unstemmed Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions
title_short Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions
title_sort hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6020383/
https://www.ncbi.nlm.nih.gov/pubmed/29945622
http://dx.doi.org/10.1186/s12913-018-3316-2
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