Factors that influence the level of burnout in inpatient nurses of Kendari city regional general hospital

Background: Burnout in nursing staff is a multidimensional phenomenon that has an impact on the quality of health services. This study aims to analyze the effect of work stress, workload, sleep quality, job satisfaction, and coping strategies on burnout levels in inpatient nurses at Kendari City Hospital. Methods: This type of research uses quantitative methods and analytical surveys with a cross-sectional design involving 126 inpatient nurses selected through Probability Sampling with Proportional Random Sampling techniques where the sample is determined according to the proportion of each inpatient room and the selection is done randomly. Data were collected using the Maslach Burnout Inventory (MBI) questionnaire and instruments related to independent variables. Data analysis used the Kendall Tau correlation test and multinomial logistic regression with a significance level of p<0.05. Results: The results of the study found that 88.9% of respondents experienced moderate burnout and 7.9% severe burnout. Job stress showed a significant positive correlation with burnout (τ=0.172; p=0.049), as did workload (τ=0.203; p=0.018) and sleep quality (τ=0.204; p=0.021). Job satisfaction (τ=-0.243; p=0.006) and coping strategies (τ=-0.179; p=0.043) were negatively related to burnout. Multivariate analysis revealed workload as the strongest predictor of severe burnout (Exp(B)=0.004; p=0.002). Conclusion: The research findings indicate the need for: (1) Optimization of workload distribution systems and provision of problem-focused coping-based stress management programs for hospitals, (2) Increasing self-awareness and developing adaptive coping skills for nurses, and (3) Further research with a mixed methods approach and wider sample coverage. Implementation of these recommendations is expected to reduce burnout levels to ensure the health and safety of nurses while improving the quality of nursing services.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17285310
Primary Topic
Mycotoxins in Agriculture and Food
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors that influence the level of burnout in inpatient nurses of Kendari city regional general hospital

Zenodo (CERN European Organization for Nuclear Research)
Mycotoxins in Agriculture and Food
article

Factors that influence the level of burnout in inpatient nurses of Kendari city regional general hospital

article en

Abstract

Background: Burnout in nursing staff is a multidimensional phenomenon that has an impact on the quality of health services. This study aims to analyze the effect of work stress, workload, sleep quality, job satisfaction, and coping strategies on burnout levels in inpatient nurses at Kendari City Hospital. Methods: This type of research uses quantitative methods and analytical surveys with a cross-sectional design involving 126 inpatient nurses selected through Probability Sampling with Proportional Random Sampling techniques where the sample is determined according to the proportion of each inpatient room and the selection is done randomly. Data were collected using the Maslach Burnout Inventory (MBI) questionnaire and instruments related to independent variables. Data analysis used the Kendall Tau correlation test and multinomial logistic regression with a significance level of p<0.05. Results: The results of the study found that 88.9% of respondents experienced moderate burnout and 7.9% severe burnout. Job stress showed a significant positive correlation with burnout (τ=0.172; p=0.049), as did workload (τ=0.203; p=0.018) and sleep quality (τ=0.204; p=0.021). Job satisfaction (τ=-0.243; p=0.006) and coping strategies (τ=-0.179; p=0.043) were negatively related to burnout. Multivariate analysis revealed workload as the strongest predictor of severe burnout (Exp(B)=0.004; p=0.002). Conclusion: The research findings indicate the need for: (1) Optimization of workload distribution systems and provision of problem-focused coping-based stress management programs for hospitals, (2) Increasing self-awareness and developing adaptive coping skills for nurses, and (3) Further research with a mixed methods approach and wider sample coverage. Implementation of these recommendations is expected to reduce burnout levels to ensure the health and safety of nurses while improving the quality of nursing services.

Zenodo (CERN European Organization for Nuclear Research)
Universitas Halu Oleo (ID)
Openalex Percentile: Top 31%
Mycotoxins in Agriculture and Food
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Factors that influence the level of burnout in inpatient nurses of Kendari city regional general hospital · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS