2025, Volume 18, Issue 11, pp 1037 – 1043

The relationship between missed nursing care and job burnout in intensive care units

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Authors and Affiliations

* Corresponding author Neda Sheikhzakaryaee, Department of Nursing and Midwifery, Kurdistan University of Medical Sciences, Sanandaj, Iran; E-mail: [email protected]

Abstract

Providing quality nursing care in intensive care units is a crucial component of hospital services. Conversely, the stress and workload in these environments put nurses at risk of job burnout. This study aimed to examine the relationship between missed nursing care and job burnout among nurses in intensive care units. This cross-sectional study used census sampling to recruit 200 nurses working in the intensive care units of teaching hospitals at Kurdistan University of Medical Sciences in Iran. The data were collected using demographic information forms, the Kalisch Missed Nursing Care Questionnaire, and the Persian version of the Maslach Burnout Inventory (MBI). Descriptive and analytical analyses were performed using SPSS software version 24. In this study, the mean score of missed nursing care was 35.29 ± 9.43. Additionally, a moderate level of job burnout among nurses was found, with a mean score of 42.54 ± 17.22. The results indicated a significant relationship between missed nursing care and nurses’ gender and economic status (P < 0.05). Furthermore, missed nursing care was significantly related to job burnout (positive correlation) and its dimensions, including depersonalization and personal accomplishment (P < 0.05). Based on these findings, to enhance the quality of healthcare services in intensive care units, measures should be taken to reduce missed nursing care and job burnout among nurses.

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About this article

PMC ID: 
PubMed ID: 10.25122/jml-2024-0347
DOI: JMedLife-18-1037

Article Publishing Date (print):
Available Online: 

Journal information

ISSN Printing: 1844-122X
ISSN Online: 1844-3117
Journal Title: Journal of Medicine and Life

Copyright License: Open Access

This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use and redistribution provided that the original author and source are credited.

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