Case management for emergency department frequent users : a randomized controlled trial

Details

Serval ID
serval:BIB_357FD91D8507
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Institution
Title
Case management for emergency department frequent users : a randomized controlled trial
Title of the conference
Praxis
Author(s)
Bodenmann P., Velonaki V.-S., Baggio S., Iglesias K., Moschetti K., Ruggeri O., Hugli O., Burnand B., Wasserfallen J.-B., Daeppen J.-B.
Organization
83. Jahresversammlung der Schweizerischen Gesellschaft für Allgemeine Innere Medizin (SGIM)/83e assemblée annuelle de la Société Suisse de Médecine Interne Générale (SSMI), 20.-22. Mai 2015 Congress Center Basel
ISBN
1661-8157
Publication state
Published
Issued date
2015
Volume
104
Pages
17-18
Language
english
Notes
Communications libres, FM 256
Abstract
Background: Emergency department frequent users (EDFUs) account for a disproportionally high number of emergency department (ED) visits, contributing to overcrowding and high health-care costs. At the Lausanne University Hospital, EDFUs account for only 4.4% of ED patients, but 12.1% of all ED visits. Our study tested the hypothesis that an interdisciplinary case management intervention red.
Methods: In this randomized controlled trial, we allocated adult EDFUs (5 or more visits in the previous 12 months) who visited the ED of the University Hospital of Lausanne, Switzerland between May 2012 and July 2013 either to an intervention (N=125) or a standard emergency care (N=125) group and monitored them for 12 months. Randomization was computer generated and concealed, and patients and research staff were blinded to the allocation. Participants in the intervention group, in addition to standard emergency care, received case management from an interdisciplinary team at baseline, and at 1, 3, and 5 months, in the hospital, in the ambulatory care setting, or at their homes. A generalized, linear, mixed-effects model for count data (Poisson distribution) was applied to compare participants' numbers of visits to the ED during the 12 months (Period 1, P1) preceding recruitment to the numbers of visits during the 12 months monitored
(Period 2, P2).
Create date
01/09/2015 9:30
Last modification date
20/08/2019 14:22
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