Volume 37, Issue 147 (May-In press 2024)
IJN 2024, 37(147): 0-0 |
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Begjani J, Jafari M, Khajezadeh A, Rajabi M M. The Relationship between Occupational Burnout and Missed Nursing Care in Selected Hospitals Affiliated with Tehran University of Medical Sciences. IJN 2024; 37 (147)
URL: http://ijn.iums.ac.ir/article-1-3805-en.html
URL: http://ijn.iums.ac.ir/article-1-3805-en.html
1- Department of Pediatric Nursing and Neonatal Intensive Care, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
2- Nursing Department of Community Health & Geriatric Nursing, Faculty of Nursing & Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
3- Nursing Department of Medical Surgical nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
4- Department of Pediatric Nursing and Neonatal Intensive Care, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran. ,mmehdirajabi1379@gmail.com
2- Nursing Department of Community Health & Geriatric Nursing, Faculty of Nursing & Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
3- Nursing Department of Medical Surgical nursing, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
4- Department of Pediatric Nursing and Neonatal Intensive Care, School of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran. ,
Abstract: (3393 Views)
Background & Aim: Nurses often experience high levels of Occupational burnout as a result of heavy workloads and stressful environments, which can have a negative impact on the quality of nursing care provided. Missed nursing care, is defined as both completely or partially forgotten care tasks. This study aimed to explore the relationship between Occupational burnout and missed nursing care in selected hospitals affiliated with Tehran University of Medical Sciences.
Methods & Materials: In this descriptive correlational study, a sample of 194 nurses of hospitals affiliated with Tehran University of Medical Sciences, were investigated using a convenience sampling technique from February 2024 to April 2024. The data collection was conducted using a demographic questionnaire, Maslach burnout inventory, and Kalish Missed Nursing Care Questionnaire. Data were analyzed through SPSS software version 26 using descriptive statistics (mean, standard deviation, Percentage, and frequency) and inferential statistics (Independent T-Test, Pearson correlation coefficient, ANOVA, and regression analysis).
Results: The mean and standard deviation scores for the subscales of job burnout, including emotional exhaustion, depersonalization, and a lack of personal accomplishment, were 32.44±10.70, 18.76±4.14, and 29.91±7.10, respectively. The mean and standard deviation for missed nursing care were found to be 35.78±2.67. The results indicated no significant relationship between the subscales of job burnout and demographic variables (P>0.05). Similarly, no significant relationship was observed between missed nursing care and demographic variables (P>0.05). Pearson correlation test results showed a significant direct relationship between the subscales of job burnout and missed nursing care (P<0.001). The highest and lowest correlations were associated with the subscales of emotional exhaustion (P<0.001, r=0.608) and depersonalization (P<0.001, r=0.301), respectively. The results of regression analysis showed that the subscales of emotional exhaustion (β=0.62), depersonalization (β=0.30), and a lack of personal accomplishment (β=0.34) are significant positive predictors of missed nursing care (P<0.001).
Conclusion: There was a direct and significant correlation between missed nursing care and job burnout. Healthcare authorities are advised to prioritize the implementation of appropriate interventions aimed at preventing and mitigating nurses' burnout which will not only result in a decline in the occurrence of missed nursing care but also contribute to improved patient outcomes.
Methods & Materials: In this descriptive correlational study, a sample of 194 nurses of hospitals affiliated with Tehran University of Medical Sciences, were investigated using a convenience sampling technique from February 2024 to April 2024. The data collection was conducted using a demographic questionnaire, Maslach burnout inventory, and Kalish Missed Nursing Care Questionnaire. Data were analyzed through SPSS software version 26 using descriptive statistics (mean, standard deviation, Percentage, and frequency) and inferential statistics (Independent T-Test, Pearson correlation coefficient, ANOVA, and regression analysis).
Results: The mean and standard deviation scores for the subscales of job burnout, including emotional exhaustion, depersonalization, and a lack of personal accomplishment, were 32.44±10.70, 18.76±4.14, and 29.91±7.10, respectively. The mean and standard deviation for missed nursing care were found to be 35.78±2.67. The results indicated no significant relationship between the subscales of job burnout and demographic variables (P>0.05). Similarly, no significant relationship was observed between missed nursing care and demographic variables (P>0.05). Pearson correlation test results showed a significant direct relationship between the subscales of job burnout and missed nursing care (P<0.001). The highest and lowest correlations were associated with the subscales of emotional exhaustion (P<0.001, r=0.608) and depersonalization (P<0.001, r=0.301), respectively. The results of regression analysis showed that the subscales of emotional exhaustion (β=0.62), depersonalization (β=0.30), and a lack of personal accomplishment (β=0.34) are significant positive predictors of missed nursing care (P<0.001).
Conclusion: There was a direct and significant correlation between missed nursing care and job burnout. Healthcare authorities are advised to prioritize the implementation of appropriate interventions aimed at preventing and mitigating nurses' burnout which will not only result in a decline in the occurrence of missed nursing care but also contribute to improved patient outcomes.
Type of Study: Research |
Subject:
nursing
Received: 2024/04/13 | Accepted: 2024/04/20 | Published: 2024/04/20
Received: 2024/04/13 | Accepted: 2024/04/20 | Published: 2024/04/20
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