Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Risk of Frequent Emergency Department Use Among an Ambulatory Care Sensitive Condition Population

A Population-based Cohort Study

Bibliographic Data

ID9102146
AuthorsCatherine Hudon (0000-0001-6140-9916, PRIMUS Research Group, Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CRCHUS), corresponding author), Josiane Courteau (PRIMUS Research Group, Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CRCHUS), corresponding author), Yohann M Chiu (Université de Sherbrooke), Yohann Chiu (0000-0001-7872-9457, Université de Sherbrooke), Maud-Christine Chouinard (Université du Québec à Chicoutimi), Maud‐Christine Chouinard (0000-0001-8114-9146, Université du Québec à Chicoutimi), Marie‐France Dubois (0000-0001-6553-7827, Université de Sherbrooke), Marie-France Dubois, Nicole Dubuc (0000-0003-2057-2981, Université de Sherbrooke), Nicolas Elazhary (0000-0002-0004-6557, Université de Sherbrooke), Francois Racine-Hemmings (0000-0003-2891-6830, Université de Sherbrooke), Isabelle Dufour (0000-0002-6142-0442, Université de Sherbrooke), Alain Vanasse (0000-0003-4385-9803, PRIMUS Research Group, Centre de recherche du Centre hospitalier universitaire de Sherbrooke (CRCHUS), corresponding author)
Year2020
Volume58
Issue3
Pages248-256
Publication date2020-03-01
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000001270
PMID32049947
OpenAlexW2995395966
LanguageEN
References cited26

BACKGROUND: A small fraction of patients use a disproportionately large amount of emergency department (ED) resources. Identifying these patients, especially those with ambulatory care sensitive conditions (ACSC), would allow health care professionals to enhance their outpatient care. OBJECTIVE: The objectives of the study were to determine predictive factors associated with frequent ED use in a Quebec adult population with ACSCs and to compare several models predicting the risk of becoming an ED frequent user following an ED visit. RESEARCH DESIGN: This was an observational population-based cohort study extracted from Quebec's administrative data. SUBJECTS: The cohort included 451,775 adult patients, living in nonremote areas, with an ED visit between January 2012 and December 2013 (index visit), and previously diagnosed with an ACSC but not dementia. MEASURES: The outcome was frequent ED use (≥4 visits) during the year following the index visit. Predictors included sociodemographics, physical and mental comorbidities, and prior use of health services. We developed several logistic models (with different sets of predictors) on a derivation cohort (2012 cohort) and tested them on a validation cohort (2013 cohort). RESULTS: Frequent ED users represented 5% of the cohort and accounted for 36% of all ED visits. A simple 2-variable prediction model incorporating history of hospitalization and number of previous ED use accurately predicted future frequent ED use. The full model with all sets of predictors performed only slightly better than the simple model (area under the receiver-operating characteristic curve: 0.786 vs. 0.759, respectively; similar positive predictive value and number needed to evaluate curves). CONCLUSIONS: The ability to identify frequent ED users based only on previous ED and hospitalization use provides an opportunity to rapidly target this population for appropriate interventions

Ambulatory · Ambulatory care · Cohort · Cohort study · Dementia · Disease · Emergency department · Environmental health · Health care · Logistic regression · Observational study · Population · Psychiatry · Chronic Disease Management Strategies · Emergency and Acute Care Studies · Emergency Medicine · Internal Medicine · Medicine · Primary Care and Health Outcomes · Gerontology

  • Impact Of Socioeconomic Status On Hospital Use In New York City

    John Billings, Lisa Zeitel et al.•Health Affairs•1993

  • A new method of classifying prognostic comorbidity in longitudinal studies

    Open Access•Mary E Charlson, Peter Pompei et al.•Journal of Chronic Diseases•1987

  • Validation of the Combined Comorbidity Index of Charlson and Elixhauser to Predict 30-Day Mortality Across ICD-9 and ICD-10

    Marc Simard, Jenny W Sun et al.•Medical Care•2018

  • Comparing the Validity of Different Sources of Information on Emergency Department Visits

    Nandini Dendukuri, Jane McCusker et al.•Medical Care•2005

  • Comorbidity Measures for Use with Administrative Data

    Anne Elixhauser, Claudia Steiner et al.•Medical Care•1998

Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae