The DOI matches its Crossref record; 66 of the 68 references it cites were found in a registry or an index.
Interactive effects of nurse-experienced time pressure and burnout on patient safety: A cross-sectional survey
Abstract
Background Global nursing shortages have exacerbated time pressure and burnout among nurses. Despite the well-established correlation between burnout and patient safety, no studies have addressed how time pressure among nurses and patient safety are related and whether burnout moderates such a relation. Objectives This study investigated how time pressure and the interaction of time pressure and nursing burnout affect patient safety. DESIGN-SETTING PARTICIPANTS: This cross-sectional study surveyed 458 nurses in 90 units of two medical centres in northern Taiwan. Methods Nursing burnout was measured by the Maslach Burnout Inventory-Human Service Scale. Patient safety was inversely measured by six items on frequency of adverse events. Time pressure was measured by five items. Regressions were used for the analysis. Results While the results of regression analyses suggest that time pressure did not significantly affect patient safety (beta=-.01, p>.05), time pressure and burnout had an interactive effect on patient safety (beta=-.08, p<.05). Specifically, for nurses with high burnout (n=223), time pressure was negatively related to patient safety (beta=-.10, p<.05). Conclusion Time pressure adversely affected patient safety for nurses with a high level of burnout, but not for nurses with a low level of burnout.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“a higher composite burnout score was associated with lower patient safety ratings [113]”
From Burnout in nursing: a theoretical review. (2020) · cites this paper as [113]
Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
Einax, J. W., Zwanziger, H. W., & Geiß, S. (1997) · Wiley eBooks · doi:10.1002/352760216x.ch5 · Cited by 18,779
Conservation of resources: A new attempt at conceptualizing stress
Hobfoll, S. E. (1989) · American Psychologist · doi:10.1037/0003-066x.44.3.513 · Cited by 18,187
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,944
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2072165 · Cited by 17,475
The measurement of experienced burnout
Maslach, C., & Jackson, S. E. (1981) · Journal of Organizational Behavior · doi:10.1002/job.4030020205 · Cited by 14,496
Institute of Medicine (2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,390
Cited by
Sorted by citations
Healthcare staff wellbeing, burnout, and patient safety: a systematic review
Hall, L. H., Johnson, J., Watt, I., Tsipa, A., & O’Connor, D. B. (2016) · PLOS ONE · doi:10.1371/journal.pone.0159015 · Cited by 1,683
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
Evidence Relating Health Care Provider Burnout and Quality of Care
Tawfik, D. S., Scheid, A., Profit, J., Shanafelt, T. D., Trockel, M., Adair, K. C., Sexton, J. B., & Ioannidis, J. P. A. (2019) · Annals of Internal Medicine · doi:10.7326/m19-1152 · Cited by 592
Influence of Burnout on Patient Safety: Systematic Review and Meta-Analysis
Garcia, C. D. L., de Abreu, L. C., Ramos, J. L. S., Castro, C., Smiderle, F. R. N., dos Santos, J. A., & Bezerra, Í. M. P. (2019) · Medicina · doi:10.3390/medicina55090553 · Cited by 511
Li, L. Z., Yang, P., Singer, S. J., Pfeffer, J., Mathur, M. B., & Shanafelt, T. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.43059 · Cited by 501
Metadata
- Authors
- Teng, C.-I., Shyu, Y.-I. L., Chiou, W.-K., Fan, H.-C., & Lam, S. M.
- Affiliations
- Chang Gung University (TW)
- Corresponding author
- Teng, Ching-I
- Venue
- International Journal of Nursing Studies
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 47
- Issue
- 11
- Pages
- 1442-1450
- ISSN
- 0020-7489 (ISSN-L)
- OpenAlex
- W2084935014
- Cited by
- 145
- References
- 68
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 4 · 2023: 12 · 2022: 12 · 2021: 12 · 2020: 10 · 2019: 12 · 2018: 9 · 2017: 12 · 2016: 9 · 2015: 13 · 2014: 7 · 2013: 2 · 2012: 10
- FWCI
- 9.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Nursing Studies (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Chang Gung Medical Foundation
- Topics
- Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
- Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Occupational Health and Burnout
- Keywords
- nurse burnout, patient safety, adverse events, interaction effects, nursing shortage
- MeSH terms
- Burnout, Professional, Cross-Sectional Studies, Humans, Nurses, Patients, Safety Management
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
