Literature DB >> 25916833

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

Melanie Jessup1, Julia Crilly2, Justin Boyle3, Marianne Wallis4, James Lind2, David Green5, Gerard Fitzgerald6.   

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.
© The Author(s) 2015.

Entities:  

Keywords:  bed management and patient flow; communication; decision-making; evaluation; implementation; predictive modelling

Mesh:

Year:  2015        PMID: 25916833     DOI: 10.1177/1460458215577993

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  1 in total

1.  Application of four-dimension criteria to assess rigour of qualitative research in emergency medicine.

Authors:  Roberto Forero; Shizar Nahidi; Josephine De Costa; Mohammed Mohsin; Gerry Fitzgerald; Nick Gibson; Sally McCarthy; Patrick Aboagye-Sarfo
Journal:  BMC Health Serv Res       Date:  2018-02-17       Impact factor: 2.655

  1 in total

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