Users' experiences of an emergency department patient admission predictive tool: A qualitative evaluation

Journal article


Jessup, Melanie, Crilly, Julia, Boyle, Justin, Wallis, Marianne, Lind, James, Green, David and Fitzgerald, Gerard. (2016). Users' experiences of an emergency department patient admission predictive tool: A qualitative evaluation. Health Informatics Journal. 22(3), pp. 618 - 632. https://doi.org/10.1177/1460458215577993
AuthorsJessup, Melanie, Crilly, Julia, Boyle, Justin, Wallis, Marianne, Lind, James, Green, David and Fitzgerald, Gerard
Abstract

Emergency department overcrowding is an increasing issue impacting patients, staff and quality of care, resulting in poor patient and system outcomes. In order to facilitate better management of emergency department resources, a patient admission predictive tool was developed and implemented. Evaluation of the tool’s accuracy and efficacy was complemented with a qualitative component that explicated the experiences of users and its impact upon their management strategies, and is the focus of this article. Semi-structured interviews were conducted with 15 pertinent users, including bed managers, after-hours managers, specialty department heads, nurse unit managers and hospital executives. Analysis realised dynamics of accuracy, facilitating communication and enabling group decision-making. Users generally welcomed the enhanced potential to predict and plan following the incorporation of the patient admission predictive tool into their daily and weekly decision-making processes. They offered astute feedback with regard to their responses when faced with issues of capacity and communication. Participants reported an growing confidence in making informed decisions in a cultural context that is continually moving from reactive to proactive. This information will inform further patient admission predictive tool development specifically and implementation processes generally.

Keywordsbed management and patient flow; communication; decision-making; evaluation; implementation; predictive modelling
Year2016
JournalHealth Informatics Journal
Journal citation22 (3), pp. 618 - 632
PublisherSage Publications Ltd.
ISSN1460-4582
Digital Object Identifier (DOI)https://doi.org/10.1177/1460458215577993
Scopus EID2-s2.0-84981308202
Open accessOpen access
Page range618 - 632
Research GroupSchool of Nursing, Midwifery and Paramedicine
Publisher's version
License
Place of publicationUnited Kingdom
EditorsR. Procter
Permalink -

https://acuresearchbank.acu.edu.au/item/8650q/users-experiences-of-an-emergency-department-patient-admission-predictive-tool-a-qualitative-evaluation

Download files

  • 73
    total views
  • 92
    total downloads
  • 0
    views this month
  • 1
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as