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A retrospective cohort study of high-impact users among patients with cerebrovascular conditions
OBJECTIVE: To apply group-based trajectory modelling (GBTM) to the hospital administrative data to evaluate, model and visualise trends and changes in the frequency of long-term hospital care use of the subgroups of patients with cerebrovascular conditions. DESIGN: A retrospective cohort study of pa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623430/ https://www.ncbi.nlm.nih.gov/pubmed/28647723 http://dx.doi.org/10.1136/bmjopen-2016-014618 |
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author | Rao, Ahsan Jones, Alice Bottle, Alex Darzi, Ara Aylin, Paul |
author_facet | Rao, Ahsan Jones, Alice Bottle, Alex Darzi, Ara Aylin, Paul |
author_sort | Rao, Ahsan |
collection | PubMed |
description | OBJECTIVE: To apply group-based trajectory modelling (GBTM) to the hospital administrative data to evaluate, model and visualise trends and changes in the frequency of long-term hospital care use of the subgroups of patients with cerebrovascular conditions. DESIGN: A retrospective cohort study of patients with cerebrovascular conditions. SETTINGS: Secondary care of all patients with cerebrovascular conditions admitted to English National Hospital Service hospitals. PARTICIPANTS: All patients with cerebrovascular conditions identified through national administrative data (Hospital Episode Statistics) and subsequent emergency hospital admissions followed up for 4 years. MAIN OUTCOME MEASURE: Annual number of emergency hospital readmissions. RESULTS: GBTM model classified patients with intracranial haemorrhage (n=2605) into five subgroups, whereas ischaemic stroke (n=34 208) and transient ischaemic attack (TIA) (n=20 549) patients were shown to have two conventional groups, low and high impact. The covariates with significant association with high-impact users (17.1%) among ischaemic stroke were epilepsy (OR 2.29), previous stroke (OR 2.18), anxiety/depression (OR 1.63), procedural complication (OR 1.43), admission to intensive therapy unit (ITU) or high dependency unit (HDU) (OR 1.42), comorbidity score (OR 1.36), urinary tract infections (OR 1.32), vision loss (OR 1.32), chest infections (OR 1.25), living alone (OR 1.25), diabetes (OR 1.23), socioeconomic index (OR 1.20), older age (OR 1.03) and prolonged length of stay (OR 1.00). The covariates associated with high-impact users among TIA (20.0%) were thromboembolic event (OR 3.67), previous stroke (OR 2.51), epilepsy (OR 2.25), hypotension (OR 1.86), anxiety/depression (OR 1.63), amnesia (OR 1.62), diabetes (OR 1.58), anaemia (OR 1.55), comorbidity score (OR 1.39), atrial fibrillation (OR 1.27), living alone (OR 1.25), socioeconomic index (OR 1.13), older age (OR 1.04) and prolonged length of stay (OR 1.02). The high-impact users (0.5%) among intracranial haemorrhage were strongly associated with thromboembolic event (OR 20.3) and inversely related to older age (OR 0.58). CONCLUSION: GBTM effectively assessed trends in the use of hospital care by the subgroups of patients with cerebrovascular conditions. High-impact users persistently had higher annual readmission during the follow-up period. |
format | Online Article Text |
id | pubmed-5623430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56234302017-10-10 A retrospective cohort study of high-impact users among patients with cerebrovascular conditions Rao, Ahsan Jones, Alice Bottle, Alex Darzi, Ara Aylin, Paul BMJ Open Health Services Research OBJECTIVE: To apply group-based trajectory modelling (GBTM) to the hospital administrative data to evaluate, model and visualise trends and changes in the frequency of long-term hospital care use of the subgroups of patients with cerebrovascular conditions. DESIGN: A retrospective cohort study of patients with cerebrovascular conditions. SETTINGS: Secondary care of all patients with cerebrovascular conditions admitted to English National Hospital Service hospitals. PARTICIPANTS: All patients with cerebrovascular conditions identified through national administrative data (Hospital Episode Statistics) and subsequent emergency hospital admissions followed up for 4 years. MAIN OUTCOME MEASURE: Annual number of emergency hospital readmissions. RESULTS: GBTM model classified patients with intracranial haemorrhage (n=2605) into five subgroups, whereas ischaemic stroke (n=34 208) and transient ischaemic attack (TIA) (n=20 549) patients were shown to have two conventional groups, low and high impact. The covariates with significant association with high-impact users (17.1%) among ischaemic stroke were epilepsy (OR 2.29), previous stroke (OR 2.18), anxiety/depression (OR 1.63), procedural complication (OR 1.43), admission to intensive therapy unit (ITU) or high dependency unit (HDU) (OR 1.42), comorbidity score (OR 1.36), urinary tract infections (OR 1.32), vision loss (OR 1.32), chest infections (OR 1.25), living alone (OR 1.25), diabetes (OR 1.23), socioeconomic index (OR 1.20), older age (OR 1.03) and prolonged length of stay (OR 1.00). The covariates associated with high-impact users among TIA (20.0%) were thromboembolic event (OR 3.67), previous stroke (OR 2.51), epilepsy (OR 2.25), hypotension (OR 1.86), anxiety/depression (OR 1.63), amnesia (OR 1.62), diabetes (OR 1.58), anaemia (OR 1.55), comorbidity score (OR 1.39), atrial fibrillation (OR 1.27), living alone (OR 1.25), socioeconomic index (OR 1.13), older age (OR 1.04) and prolonged length of stay (OR 1.02). The high-impact users (0.5%) among intracranial haemorrhage were strongly associated with thromboembolic event (OR 20.3) and inversely related to older age (OR 0.58). CONCLUSION: GBTM effectively assessed trends in the use of hospital care by the subgroups of patients with cerebrovascular conditions. High-impact users persistently had higher annual readmission during the follow-up period. BMJ Publishing Group 2017-06-24 /pmc/articles/PMC5623430/ /pubmed/28647723 http://dx.doi.org/10.1136/bmjopen-2016-014618 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Health Services Research Rao, Ahsan Jones, Alice Bottle, Alex Darzi, Ara Aylin, Paul A retrospective cohort study of high-impact users among patients with cerebrovascular conditions |
title | A retrospective cohort study of high-impact users among patients with cerebrovascular conditions |
title_full | A retrospective cohort study of high-impact users among patients with cerebrovascular conditions |
title_fullStr | A retrospective cohort study of high-impact users among patients with cerebrovascular conditions |
title_full_unstemmed | A retrospective cohort study of high-impact users among patients with cerebrovascular conditions |
title_short | A retrospective cohort study of high-impact users among patients with cerebrovascular conditions |
title_sort | retrospective cohort study of high-impact users among patients with cerebrovascular conditions |
topic | Health Services Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623430/ https://www.ncbi.nlm.nih.gov/pubmed/28647723 http://dx.doi.org/10.1136/bmjopen-2016-014618 |
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