Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rao, Ahsan, Jones, Alice, Bottle, Alex, Darzi, Ara, Aylin, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
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
_version_ 1783268084740521984
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
work_keys_str_mv AT raoahsan aretrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT jonesalice aretrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT bottlealex aretrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT darziara aretrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT aylinpaul aretrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT raoahsan retrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT jonesalice retrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT bottlealex retrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT darziara retrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions
AT aylinpaul retrospectivecohortstudyofhighimpactusersamongpatientswithcerebrovascularconditions