80
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Prolonged Length of Stay as a Contributor to Burnout, Interprofessional Conflict and System Fatigue: A Qualitative Study of Inpatient Team Perspectives

, ORCID Icon &
Published online: 03 Nov 2022
 

Abstract

Prolonged lengths of stay (PLOS) impact patient outcomes, healthcare spending, and bed availability. Many patients stay beyond medical necessity due to complex barriers to discharge, including conservatorship applications and insurance coverage, shifting the provision of care from acute to chronic on medicine wards. We aim to understand the impact of this shift on healthcare staff workflow, interactions, and wellbeing through 23 key informant interviews analyzed using grounded theory. Our findings highlight PLOS as a contributor to burnout, with implications for patient care and staff job satisfaction that necessitate additional support for caring for this vulnerable patient population.

Acknowledgments

This publication was made possible by the Richard K. Gershon Endowed Medical Student Research Fellowship. We would also like to thank all participants for their time.

Disclosure Statement

RF reports financial interest in QuantumLabs and Highgate Consulting.

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Data Availability Statement

Due to the nature of this research, participants of this study did not agree for their data to be shared publicly, so supporting data is not available.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 163.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.