Modeling behavior of nurses in clinical medical unit in university hospital: Burnout implications

Wael Rashwan, Amr Arisha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

High demand of healthcare services due to changes in population demography, technological and medical advancements, budget limitations have direct effect on medical staff and medical organizations in particularly hospitals. One of the major issues confronting the healthcare system is staff behavior when they get close to 'burnout' level. This study identifies factors affecting nurses' behavior and its impact on patients experience time using system dynamics. A particular focus is given to nurses in one of the medical clinical units in one of the largest hospitals in Ireland. Armed with a comprehensive system dynamic model that revolves around the staff stresses, an examination of Skill-Mix, Work Intensity, and Time Per Activity is conducted to examine performance issues due to nurses' fatigue and burnout. Results demonstrate serious consequences on patients' experience time and service quality measures as a proportional result of the increased pressures on nurses in this unit.

Original languageEnglish
Title of host publication2015 Winter Simulation Conference, WSC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3880-3891
Number of pages12
ISBN (Electronic)9781467397438
DOIs
Publication statusPublished - 16 Feb 2016
EventWinter Simulation Conference, WSC 2015 - Huntington Beach, United States
Duration: 6 Dec 20159 Dec 2015

Publication series

NameProceedings - Winter Simulation Conference
Volume2016-February
ISSN (Print)0891-7736

Conference

ConferenceWinter Simulation Conference, WSC 2015
Country/TerritoryUnited States
CityHuntington Beach
Period6/12/159/12/15

Keywords

  • healthcare services
  • population demography
  • technological advancements
  • medical advancements
  • budget limitations
  • staff behavior
  • burnout
  • nurses' behavior
  • patients experience time
  • system dynamics
  • Skill-Mix
  • Work Intensity
  • Time Per Activity
  • performance issues
  • nurses' fatigue
  • service quality

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