Cargando…

Identifying subgroups and risk among frequent emergency department users in British Columbia

Objective: Frequent emergency department (ED) users are heterogeneous. We aimed to identify subgroups and assess their mortality. Methods: We identified patients ≥18 years with ≥1 ED visit in British Columbia from April 1, 2012 to March 31, 2015, and linked to hospitalization, physician billing, pre...

Descripción completa

Detalles Bibliográficos
Autores principales: Moe, Jessica, O'Sullivan, Fiona, McGregor, Margaret J., Schull, Michael J., Dong, Kathryn, Holroyd, Brian R., Grafstein, Eric, Hohl, Corinne M., Trimble, Johanna, McGrail, Kimberlyn M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823092/
https://www.ncbi.nlm.nih.gov/pubmed/33532752
http://dx.doi.org/10.1002/emp2.12346
_version_ 1783639760822075392
author Moe, Jessica
O'Sullivan, Fiona
McGregor, Margaret J.
Schull, Michael J.
Dong, Kathryn
Holroyd, Brian R.
Grafstein, Eric
Hohl, Corinne M.
Trimble, Johanna
McGrail, Kimberlyn M.
author_facet Moe, Jessica
O'Sullivan, Fiona
McGregor, Margaret J.
Schull, Michael J.
Dong, Kathryn
Holroyd, Brian R.
Grafstein, Eric
Hohl, Corinne M.
Trimble, Johanna
McGrail, Kimberlyn M.
author_sort Moe, Jessica
collection PubMed
description Objective: Frequent emergency department (ED) users are heterogeneous. We aimed to identify subgroups and assess their mortality. Methods: We identified patients ≥18 years with ≥1 ED visit in British Columbia from April 1, 2012 to March 31, 2015, and linked to hospitalization, physician billing, prescription, and mortality data. Frequent users were the top 10% of patients by ED visits. We employed cluster analysis to identify frequent user subgroups. We assessed 365‐day mortality using Kaplan‐Meier curves and conducted Cox regressions to assess mortality risk factors within subgroups. Results: We identified 4 subgroups. Subgroup 1 (“Elderly”) had median age 77 years (interquartile range [IQR]: 66–85), 5 visits/year (IQR: 4–6), median 8 prescription medications (IQR: 5–11), and 24.7% mortality. Subgroup 2 (“Mental Health and Alcohol Use”) had median age 48 years (IQR: 34–61), 13 visits/year (IQR: 10–16), and 12.3% mortality. They made a median 31 general practitioner visits (IQR: 19–51); however, only 23.7% received a majority of services from 1 primary care physician. Subgroup 3 (“Young Mental Health”) had median age 39 years (IQR: 28–51), 5 visits/year (IQR: 4–6), and 2.2% mortality. Subgroup 4 (“Short‐term”) had median age 50 years (IQR: 34–65), 4 visits/year (IQR: 4–5) regularly spaced over a short term, and 1.4% mortality. Male sex (all subgroups), long‐term care (“Mental Health and Alcohol Use;” “Young Mental Health”), and rural residence (“Elderly” in long‐term care; “Young Mental Health”) were associated with increased mortality. Conclusions: Our results identify frequent user subgroups with varying mortality. Future research should explore subgroups’ unmet needs and tailor interventions toward them.
format Online
Article
Text
id pubmed-7823092
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-78230922021-02-01 Identifying subgroups and risk among frequent emergency department users in British Columbia Moe, Jessica O'Sullivan, Fiona McGregor, Margaret J. Schull, Michael J. Dong, Kathryn Holroyd, Brian R. Grafstein, Eric Hohl, Corinne M. Trimble, Johanna McGrail, Kimberlyn M. J Am Coll Emerg Physicians Open Health Policy Objective: Frequent emergency department (ED) users are heterogeneous. We aimed to identify subgroups and assess their mortality. Methods: We identified patients ≥18 years with ≥1 ED visit in British Columbia from April 1, 2012 to March 31, 2015, and linked to hospitalization, physician billing, prescription, and mortality data. Frequent users were the top 10% of patients by ED visits. We employed cluster analysis to identify frequent user subgroups. We assessed 365‐day mortality using Kaplan‐Meier curves and conducted Cox regressions to assess mortality risk factors within subgroups. Results: We identified 4 subgroups. Subgroup 1 (“Elderly”) had median age 77 years (interquartile range [IQR]: 66–85), 5 visits/year (IQR: 4–6), median 8 prescription medications (IQR: 5–11), and 24.7% mortality. Subgroup 2 (“Mental Health and Alcohol Use”) had median age 48 years (IQR: 34–61), 13 visits/year (IQR: 10–16), and 12.3% mortality. They made a median 31 general practitioner visits (IQR: 19–51); however, only 23.7% received a majority of services from 1 primary care physician. Subgroup 3 (“Young Mental Health”) had median age 39 years (IQR: 28–51), 5 visits/year (IQR: 4–6), and 2.2% mortality. Subgroup 4 (“Short‐term”) had median age 50 years (IQR: 34–65), 4 visits/year (IQR: 4–5) regularly spaced over a short term, and 1.4% mortality. Male sex (all subgroups), long‐term care (“Mental Health and Alcohol Use;” “Young Mental Health”), and rural residence (“Elderly” in long‐term care; “Young Mental Health”) were associated with increased mortality. Conclusions: Our results identify frequent user subgroups with varying mortality. Future research should explore subgroups’ unmet needs and tailor interventions toward them. John Wiley and Sons Inc. 2021-01-02 /pmc/articles/PMC7823092/ /pubmed/33532752 http://dx.doi.org/10.1002/emp2.12346 Text en © 2021 The Authors. JACEP Open published by Wiley Periodicals LLC on behalf of the American College of Emergency Physicians. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Health Policy
Moe, Jessica
O'Sullivan, Fiona
McGregor, Margaret J.
Schull, Michael J.
Dong, Kathryn
Holroyd, Brian R.
Grafstein, Eric
Hohl, Corinne M.
Trimble, Johanna
McGrail, Kimberlyn M.
Identifying subgroups and risk among frequent emergency department users in British Columbia
title Identifying subgroups and risk among frequent emergency department users in British Columbia
title_full Identifying subgroups and risk among frequent emergency department users in British Columbia
title_fullStr Identifying subgroups and risk among frequent emergency department users in British Columbia
title_full_unstemmed Identifying subgroups and risk among frequent emergency department users in British Columbia
title_short Identifying subgroups and risk among frequent emergency department users in British Columbia
title_sort identifying subgroups and risk among frequent emergency department users in british columbia
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823092/
https://www.ncbi.nlm.nih.gov/pubmed/33532752
http://dx.doi.org/10.1002/emp2.12346
work_keys_str_mv AT moejessica identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT osullivanfiona identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT mcgregormargaretj identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT schullmichaelj identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT dongkathryn identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT holroydbrianr identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT grafsteineric identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT hohlcorinnem identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT trimblejohanna identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia
AT mcgrailkimberlynm identifyingsubgroupsandriskamongfrequentemergencydepartmentusersinbritishcolumbia