• Can J Emerg Med · Mar 2003

    Understanding the causes of overcrowding in emergency departments in the Capital Health Region in Alberta: a focus group study.

    • Angela Estey, Kathleen Ness, L Duncan Saunders, Arif Alibhai, and Robert A Bear.
    • Clinical Performance, Information and Research, Capital Health Authority, Edmonton, Alberta, Canada.
    • Can J Emerg Med. 2003 Mar 1;5(2):87-94.

    ObjectivesTo determine the perceptions of health care professionals and service providers with regard to emergency department (ED) overcrowding, including definitions of overcrowding, characteristics of an overcrowded ED, and causes of overcrowding, and secondarily to solicit potential solutions to the problem.MethodsFocus groups were conducted with front-line staff, physicians and managers from 7 EDs within an integrated health region. Participants received questions before the sessions, and an experienced moderator conducted the sessions and prepared transcripts from audio tapes. Analyses included identification of key themes and the interrelationships between those themes.ResultsFocus group participants defined service pressures that result in overcrowding as "anything that impedes the flow of patients through the ED, affects the quality of care delivered or results in patient frustration and stress to staff." Overcrowding, which can occur at any time of the day, was perceived to have many causes, including some seasonal factors. Two key problems were identified as causing many spin-off pressures: inefficient access to ED beds (stretchers) because of slow throughput of patients and staff shortages. Other perceived causes included the changing role and use of EDs and limited access to services such as home care, diagnostic imaging, laboratory services, social services and specialist care. Participants generally believed that the characteristics and causes of overcrowding could not be viewed independently; rather, in the search for remedies, they should be considered as interrelated variables.ConclusionQualitative studies of this complex issue can identify and describe complex interactions in real-world settings. The findings of such studies can lead to quantitative studies involving objective measurement.

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