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Identification of Institutional Characteristics that May Drive (Avoidable) Hospitalization of Nursing Home Residents

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Title:Identification of Institutional Characteristics that May Drive (Avoidable) Hospitalization of Nursing Home Residents
Authors:Hong, Zhe
Seidmann, Abraham
Keywords:Analyzing the Impact of Digitization on Business Operations
avoidable hospital transfer
nursing homes
Date Issued:07 Jan 2020
Abstract:Avoidable hospital transfers increase the risk of negative outcomes for patients and cause waste in medical resources. While reducing emergency department (ED) transfer and hospitalization rate has been widely discussed, few IS scholars pay close attention to the concept of avoidable transfers. The paper, rooted in the context of nursing homes, provides a comprehensive review of the concept, identification, and contributing factors. In addition, empirical evidence is presented to complement the study. To the best of our knowledge, this is the first empirical work using nationwide aggregate data to study the effect of institutional characteristics on avoidable hospitalization from nursing homes. We found that while caregiver/resident ratio remains a heated topic in public policy debate, only a high intensity of service provided by well-trained medical practitioners (registered nurses and physicians) is associated with low levels of avoidable ED visits and hospitalization.
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/64384
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.642
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Analyzing the Impact of Digitization on Business Operations


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