The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Professional Flourishing: The Job Demands–Resources Model and Emergency Nursing
Abstract
Can we craft the perfect job for the next generation of emergency nurses? Ideally, emergency nursing work is engaging, motivating, and meaningful while leading to the nurse’s personal flourishing, wellbeing, optimal health, and performance excellence. Attaining this occupational ideal requires overcoming many contemporary challenges and barriers that emergency nurses face every day. The Job Demands–Resources, or JD–R, model (Figure) is an interdisciplinary theory developed to predict organizational outcomes such as employee well-being, burnout, and work performance. The theory has been tested around the globe for a variety of occupations. In this model, 2 processes occur concurrently, creating a tug-of-war between positive and negative organizational outcomes. On the one hand, job demands, which lead to strain, are the mental and physical requirements that drain employees, increase the risk of health problems, and contribute to worsened work outcomes. On the other hand, job resources are the factors that nurture motivation, leading to improved health and engagement and better work activity. The theory assumes that every occupation or specialty has unique job demands and requires unique resources, which means that the factors leading to an ideal
Overview
Integrity signals
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Cites
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In the citing paper
“Although the JD-R model is mainly used in quantitative approaches, it has also been utilised for qualitative applications in attempts to explore healthcare workers’ stress more deeply [33, 36, 37].”
From Paramedics’ perceptions of job demands and resources in Finnish emergency medical services: a qualitative study (2022) · cites this paper as [33]
In the citing paper
“The use of Job Demands and Resource model was based on strong validation from within the occupational health literature [32, 33].”
From Paramedics’ perceptions of job demands and resources in Finnish emergency medical services: a qualitative study (2022) · cites this paper as [33]
Citations
Cites
Karasek, R. A., Brisson, C., Kawakami, N., Houtman, I. L. D., Bongers, P. M., & Amick, B. C. (1998) · Journal of Occupational Health Psychology · doi:10.1037//1076-8998.3.4.322 · Cited by 3,189
The World Health Organization Health and Work Performance Questionnaire (HPQ)
Kessler, R. C., Barber, C., Beck, A., Berglund, P., Cleary, P. D., McKenas, D., Pronk, N., Simon, G., Stang, P., Ustun, T. B., et al. (2003) · Journal of Occupational and Environmental Medicine · doi:10.1097/01.jom.0000052967.43131.51 · Cited by 1,148
Personal and work-related factors associated with nurse resilience: A systematic review
Yu, F., Raphael, D., Mackay, L., Smith, M., & King, A. (2019) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2019.02.014 · Cited by 477
Montgomery, A., Spânu, F., Băban, A., & Panagopoulou, E. P. (2015) · Burnout Research · doi:10.1016/j.burn.2015.06.001 · Cited by 209
Wang, X., Liu, L., Zou, F., Hao, J., & Wu, H. L. (2017) · BioMed Research International · doi:10.1155/2017/5284628 · Cited by 186
McVicar, A. (2016) · Journal of Nursing Management · doi:10.1111/jonm.12326 · Cited by 171
Job crafting among health care professionals: The role of work engagement
Bakker, A. B. (2017) · Journal of Nursing Management · doi:10.1111/jonm.12551 · Cited by 151
Emotional Labour and Wellbeing: What Protects Nurses?
Kinman, G., & Leggetter, S. (2016) · Healthcare · doi:10.3390/healthcare4040089 · Cited by 147
Presenteeism exposures and outcomes amongst hospital doctors and nurses: a systematic review
Lui, J. N. M., Andres, E. B., & Johnston, J. M. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3789-z · Cited by 109
Brauchli, R., Jenny, G. J., Füllemann, D., & Bauer, G. F. (2015) · BioMed Research International · doi:10.1155/2015/959621 · Cited by 108
Cited by
Ericsson, C. R., Lindström, V., Rudman, A., & Nordquist, H. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08856-9 · Cited by 40
“Although the JD-R model is mainly used in quantitative approaches, it has also been utilised for qualitative applications in attempts to explore healthcare workers’ stress more deeply [33, 36, 37].”
Method
Metadata
- Authors
- Castner, J.
- Corresponding author
- Castner, Jessica
- ORCID
- Castner, Jessica
- Venue
- Journal of Emergency Nursing
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 45
- Issue
- 6
- Pages
- 607-610
- ISSN
- 0099-1767 (ISSN-L)
- OpenAlex
- W2986256279
- Cited by
- 18
- References
- 29
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 4 · 2023: 4 · 2022: 3 · 2021: 1 · 2020: 1
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Journal of Emergency Nursing (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Job Satisfaction and Organizational Behavior
- Health Sciences › Nursing › Research and Theory › Nursing education and management
- Health Sciences › Nursing › Leadership and Management › Healthcare Education and Workforce Issues
- Keywords
- job demands-resources model, emergency nursing, nurse well-being, burnout, employee performance, work engagement
- MeSH terms
- Burnout, Professional, Humans, Job Satisfaction, Surveys and Questionnaires, Workload, Emergency Nursing
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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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
