Literature DB >> 20838108

Rethinking emergency department visits.

Roger K Resar1, Frances A Griffin.   

Abstract

Efforts to date have been unable to reverse the trend of increased emergency department utilization. The Institute for Healthcare Improvement has developed a framework for reducing avoidable emergency department visits on the basis of the formation of local coalitions. These coalitions include interested partners approaching improvement by integrating community resources and nonmedical solutions. Targeted patient populations are identified via homogeneous characteristics. Open-ended interview questions are used to identify possible community and nonmedical solutions to complement medical strategies. This article describes the framework and process of testing. If validated, this approach will have significant policy implications.

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Year:  2010        PMID: 20838108     DOI: 10.1097/JAC.0b013e3181f53424

Source DB:  PubMed          Journal:  J Ambul Care Manage        ISSN: 0148-9917


  4 in total

1.  Predicting Avoidable Emergency Department Visits Using the NHAMCS Dataset.

Authors:  Yuyang Yang; Jingzhi Yu; Songzi Liu; Hanyin Wang; Scott Dresden; Yuan Luo
Journal:  AMIA Annu Symp Proc       Date:  2022-05-23

2.  Community based service providers' perspectives on frequent and/or avoidable admission of older people with chronic disease in rural NSW: a qualitative study.

Authors:  Jo M Longman; Judy B Singer; Yu Gao; Lesley M Barclay; Megan E Passey; Julie P Pirotta; Kathy E Heathcote; Dan P Ewald; Vahid Saberi; Paul Corben; Geoffrey G Morgan
Journal:  BMC Health Serv Res       Date:  2011-10-12       Impact factor: 2.655

Review 3.  Emergency department visits for nonurgent conditions: systematic literature review.

Authors:  Lori Uscher-Pines; Jesse Pines; Arthur Kellermann; Emily Gillen; Ateev Mehrotra
Journal:  Am J Manag Care       Date:  2013-01       Impact factor: 2.229

4.  Frequent hospital admission of older people with chronic disease: a cross-sectional survey with telephone follow-up and data linkage.

Authors:  Jo M Longman; Margaret I Rolfe; Megan D Passey; Kathy E Heathcote; Dan P Ewald; Therese Dunn; Lesley M Barclay; Geoffrey G Morgan
Journal:  BMC Health Serv Res       Date:  2012-10-30       Impact factor: 2.655

  4 in total

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