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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.
Afiliación
  • Moe J; Department of Emergency Medicine, University of British Columbia Department of Emergency Medicine, Vancouver General Hospital Vancouver British Columbia Canada.
  • O'Sullivan F; Department of Emergency Medicine University of British Columbia Vancouver British Columbia Canada.
  • McGregor MJ; Department of Family Practice University of British Columbia Vancouver British Columbia Canada.
  • Schull MJ; Institute for Clinical Evaluative Sciences Department of Medicine University of Toronto Toronto Ontario Canada.
  • Dong K; Department of Emergency Medicine University of Alberta Edmonton Alberta Canada.
  • Holroyd BR; Department of Emergency Medicine Emergency Strategic Clinical Networ, Alberta Health Services University of Alberta Edmonton Alberta Canada.
  • Grafstein E; Department of Emergency Medicine University of British Columbia Vancouver British Columbia Canada.
  • Hohl CM; Department of Emergency Medicine, University of British Columbia Department of Emergency Medicine, Vancouver General Hospital Vancouver British Columbia Canada.
  • Trimble J; Patients for Patient Safety Canada Roberts Creek Vancouver British Columbia Canada.
  • McGrail KM; Population Data BC School of Population and Public Health, University of British Columbia Vancouver British Columbia Canada.
J Am Coll Emerg Physicians Open ; 2(1): e12346, 2021 Feb.
Article en En | MEDLINE | ID: mdl-33532752
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Am Coll Emerg Physicians Open Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Am Coll Emerg Physicians Open Año: 2021 Tipo del documento: Article