Job dissatisfaction and burnout of nurses in H unan, C hina: A cross‐sectional survey
Abstract
In this study, we focused on measuring levels of nurse burnout and job dissatisfaction in the daily practice of nurses in H unan province, C hina, analyzed factors related to nurse burnout and job dissatisfaction, and explored the relationship between them. Previous studies have shown a high level of burnout and job dissatisfaction among nurses worldwide. A cross‐sectional survey of 1100 nurses was conducted. The nurses worked at 20 hospitals in 11 cities and counties throughout C hina's H unan province. Nurse burnout was measured by the M aslach B urnout I nventory. Nurse‐rated job dissatisfaction was described using a four point scale, and work environment was measured using the N ursing W ork I ndex – P ractice E nvironment S cale. The results showed that nurses had high burnout scores and were dissatisfied with their jobs. Staffing, work environment, and work hours were all significantly associated with nurse burnout and job dissatisfaction. Adequate staffing, improved work environment, and reasonable work hours are related to decreasing nurse burnout and job dissatisfaction.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Long shifts of 12 h or more were associated with Emotional Exhaustion.
“Long shifts of 12 h or more were associated with all MBI subscales [74] and with Emotional Exhaustion [49, 75]”
From Burnout in nursing: a theoretical review. (2020) · cites this paper as [49]
The better rated the work environment, the lower the likelihood of experiencing Emotional Exhaustion.
“Five studies comprising diverse samples and settings concluded that the better rated the work environment, the lower the likelihood of experiencing Emotional Exhaustion [32, 47, 49, 51, 92]”
From Burnout in nursing: a theoretical review. (2020) · cites this paper as [49]
Cites
Hospital Nurse Staffing and Patient Mortality, Nurse Burnout, and Job Dissatisfaction
Aiken, L. H. (2002) · JAMA · doi:10.1001/jama.288.16.1987 · Cited by 5,226 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Burnout in nursing: a theoretical review.
Dall’Ora, C., Ball, J., Reinius, M., & Griffiths, P. (2020) · Human Resources for Health · doi:10.1186/s12960-020-00469-9 · Cited by 1,181 · see citing works
Lake, E. T., Sanders, J., Duan, R., Riman, K. A., Schoenauer, K. M., & Chen, Y. (2019) · Medical Care · doi:10.1097/mlr.0000000000001109 · Cited by 424 · see citing works
Feng, D., Su, S., Wang, L., & Liu, F. (2018) · Journal of Nursing Management · doi:10.1111/jonm.12523 · Cited by 112 · see citing works
Ying, L., Fitzpatrick, J. M., Philippou, J., Huang, W., & Rafferty, A. M. (2021) · Journal of Clinical Nursing · doi:10.1111/jocn.15486 · Cited by 30 · see citing works
Mindfulness and burnout among bedside registered nurses: A cross‐sectional study
Zhao, J., Li, X., Xiao, H., Cui, N., Sun, L., & Xu, Y. (2019) · Nursing & Health Sciences · doi:10.1111/nhs.12582 · Cited by 21 · see citing works
- Authors
- Zhou, W., He, G., Wang, H., He, Y., Yuan, Q., & Liu, D.
- Affiliations
- Central South University (CN)
- Hunan Normal University (CN)
- Hunan University of Traditional Chinese Medicine (CN)
- Corresponding author
- Liu, Dan
- Venue
- Nursing & Health Sciences
- Publisher
- Wiley
- Published
- 2015-08-13
- Volume
- 17
- Issue
- 4
- Pages
- 444-450
- ISSN
- 1441-0745 (ISSN-L)
- 1442-2018
- OpenAlex
- W1898206467
- Cited by
- 72
- References
- 1
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 5 · 2023: 8 · 2022: 7 · 2021: 8 · 2020: 11 · 2019: 6 · 2018: 3 · 2017: 12 · 2016: 3
- FWCI
- 19.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nursing and Health Sciences (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Chinese Medical Board (08-883)
- Science Foundation for the Youth Scholars of Central South University (124917)
- Hunan Province Philosophy and Social Science Fund (14YBA396)
- National Natural Science Foundation of China (NSFC) (81201675)
- Topics
- Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Burnout
- Health Sciences › Nursing › Research and Theory › Nursing education and management
- Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
- Keywords
- nurse burnout, job dissatisfaction, nurses, nursing work environment, staffing levels, working hours, Maslach Burnout Inventory, Nursing Work Index, hospital nursing staff, Hunan Province
- MeSH terms
- Adult, Attitude of Health Personnel, Burnout, Professional, China, Cross-Sectional Studies, Female, Humans, Interprofessional Relations, Job Satisfaction, Male, Middle Aged, Nursing Staff, Hospital, Surveys and Questionnaires, Rural Population, Work Schedule Tolerance, Nursing Research, Incidence, Logistic Models, Workplace, Needs Assessment, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review