Burnout among nurses practicing in critical care units: Predicting the contributing factors
Background: Critical care nurses work in complex healthcare environments, which makes them more susceptible to burnout. Despite extensive research on burnout among nurses no previous study targeted burnout contributing factors in Iraq. Thus, this study aimed to determine the predicting the most infl...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2025-01-01
|
| Series: | Journal of Education and Health Promotion |
| Subjects: | |
| Online Access: | https://journals.lww.com/10.4103/jehp.jehp_926_24 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832086842416037888 |
|---|---|
| author | Sahar Yaqoob Yousif Sadeq AL-Fayyadh |
| author_facet | Sahar Yaqoob Yousif Sadeq AL-Fayyadh |
| author_sort | Sahar Yaqoob Yousif |
| collection | DOAJ |
| description | Background:
Critical care nurses work in complex healthcare environments, which makes them more susceptible to burnout. Despite extensive research on burnout among nurses no previous study targeted burnout contributing factors in Iraq. Thus, this study aimed to determine the predicting the most influential factors in the development of burnout among critical care nurses.
Materials and Methods:
A descriptive correlational design was used with 377 nurses who were practicing in critical care units in 13 public teaching hospitals in Iraq. Data were collected using socio-demographic, professional characteristics of nurses, Nurses Alarm Fatigue questionnaire, Depression Anxiety Stress Scale, and Burnout Assessment Tool. Descriptive statistics and multiple regression were used for data analysis.
Results:
The multiple regression showed that nurses’ anxiety, stress, alarm fatigue, depression, and time span positively predict nurses’ burnout (P value = .000.,000.,000.,033.,036), respectively. On the other hand, only nurses’ age inversely predicts burnout level (P value = .008).
Conclusion:
Anxiety, stress, alarm fatigue, depression, and time span are the most influential factors in the development of burnout. Age was the only variable that predicted burnout inversely. |
| format | Article |
| id | doaj-art-4380ffadb808442696701865bfa47c81 |
| institution | Kabale University |
| issn | 2277-9531 2319-6440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Education and Health Promotion |
| spelling | doaj-art-4380ffadb808442696701865bfa47c812025-02-06T09:49:50ZengWolters Kluwer Medknow PublicationsJournal of Education and Health Promotion2277-95312319-64402025-01-01141383810.4103/jehp.jehp_926_24Burnout among nurses practicing in critical care units: Predicting the contributing factorsSahar Yaqoob YousifSadeq AL-FayyadhBackground: Critical care nurses work in complex healthcare environments, which makes them more susceptible to burnout. Despite extensive research on burnout among nurses no previous study targeted burnout contributing factors in Iraq. Thus, this study aimed to determine the predicting the most influential factors in the development of burnout among critical care nurses. Materials and Methods: A descriptive correlational design was used with 377 nurses who were practicing in critical care units in 13 public teaching hospitals in Iraq. Data were collected using socio-demographic, professional characteristics of nurses, Nurses Alarm Fatigue questionnaire, Depression Anxiety Stress Scale, and Burnout Assessment Tool. Descriptive statistics and multiple regression were used for data analysis. Results: The multiple regression showed that nurses’ anxiety, stress, alarm fatigue, depression, and time span positively predict nurses’ burnout (P value = .000.,000.,000.,033.,036), respectively. On the other hand, only nurses’ age inversely predicts burnout level (P value = .008). Conclusion: Anxiety, stress, alarm fatigue, depression, and time span are the most influential factors in the development of burnout. Age was the only variable that predicted burnout inversely.https://journals.lww.com/10.4103/jehp.jehp_926_24alarm fatigueburnoutdepressionintensive care unitsnursesstress |
| spellingShingle | Sahar Yaqoob Yousif Sadeq AL-Fayyadh Burnout among nurses practicing in critical care units: Predicting the contributing factors Journal of Education and Health Promotion alarm fatigue burnout depression intensive care units nurses stress |
| title | Burnout among nurses practicing in critical care units: Predicting the contributing factors |
| title_full | Burnout among nurses practicing in critical care units: Predicting the contributing factors |
| title_fullStr | Burnout among nurses practicing in critical care units: Predicting the contributing factors |
| title_full_unstemmed | Burnout among nurses practicing in critical care units: Predicting the contributing factors |
| title_short | Burnout among nurses practicing in critical care units: Predicting the contributing factors |
| title_sort | burnout among nurses practicing in critical care units predicting the contributing factors |
| topic | alarm fatigue burnout depression intensive care units nurses stress |
| url | https://journals.lww.com/10.4103/jehp.jehp_926_24 |
| work_keys_str_mv | AT saharyaqoobyousif burnoutamongnursespracticingincriticalcareunitspredictingthecontributingfactors AT sadeqalfayyadh burnoutamongnursespracticingincriticalcareunitspredictingthecontributingfactors |