The DOI matches its Crossref record.
Decision‐making in clinical nursing: investigating contributing factors
Abstract
BACKGROUND: This article describes the results of a study which investigated the contextual factors influencing clinical decision-making. Education and experience have been suggested by some as having a positive effect on clinical decision-making, and have been listed as being of high importance. Values, knowledge, clinical setting and stress have also been identified as being important to decision-making, with various rankings given by different researchers. AIM: The study was undertaken to determine relationships between occupational orientation (value to role), educational level, experience, area of practice, level of appointment, age and clinical decision-making in Australian nurses. The predictive ability of each factor on clinical decision-making was determined. METHOD: This correlational study examined Australian nurses' decision-making about some common nursing interventions and 'occupational orientation', educational level, experience, level of appointment, area of clinical speciality and age. A model was constructed using stepwise selection regression to predict the 'weight' of each variable in clinical decision-making. RESULTS: Education and experience were not significantly related to decision-making. The factor that accounted for the greatest variability to clinical decision-making was holding a professional occupational orientation, followed by level of appointment, area of clinical speciality, and age in that order. CONCLUSION: In contrast to other studies, experience and educational level were not found to influence decision-making strongly, the value of role was the most significant predictor. The model developed, however, only accounted for a low amount of variability in decision-making. The findings indicate that there are other factors affecting clinical decision-making that still require identification.
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Experienced nurses make better decisions, especially in more complicated patient-care decisions, than inexperienced nurses.
“It has been shown that experienced nurses make better decisions, especially in the case of more complicated patient‐care decisions, than do inexperienced nurses (Hoffman et al., 2004; Nibbelink & Brewer, 2018).”
From A comparative vignette study: Evaluating the potential role of a generative AI model in enhancing clinical decision‐making in nursing (2025) · cites this paper as Hoffman et al., 2004
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Saban, M., & Dubovi, I. (2025) · Journal of Advanced Nursing · doi:10.1111/jan.16101 · Cited by 87
“It has been shown that experienced nurses make better decisions, especially in the case of more complicated patient-care decisions, than do inexperienced nurses (Hoffman et al., 2004; Reporting method: This study adhered to relevant EQUATOR guidelines for reporting observational studies.”
Metadata
- Authors
- Hoffman, K., Donoghue, J., & Duffield, C.
- Affiliations
- University of Technology Sydney (AU)
- ORCID
- Duffield, Christine
- Venue
- Journal of Advanced Nursing
- Publisher
- Wiley
- Published
- 2003-12-09
- Volume
- 45
- Issue
- 1
- Pages
- 53-62
- ISSN
- 0309-2402 (ISSN-L)
- 1365-2648
- OpenAlex
- W2054496403
- Cited by
- 108
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 4 · 2020: 9 · 2019: 3 · 2018: 4 · 2017: 12 · 2016: 8 · 2015: 4 · 2014: 7 · 2013: 7 · 2012: 3
- FWCI
- 7.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Advanced Nursing (publishedVersion)
- PubMed (publishedVersion)
- OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
- Topics
- Health Sciences › Nursing › Leadership and Management › Healthcare Education and Workforce Issues
- Health Sciences › Health Professions › General Health Professions › Health Sciences Research and Education
- Health Sciences › Nursing › Research and Theory › Nursing education and management
- Keywords
- clinical decision-making, nursing, occupational orientation, educational attainment, clinical experience, medical specialties, age, nursing interventions, Australian nurses
- MeSH terms
- Adult, Age Factors, Attitude of Health Personnel, Clinical Competence, Decision Making, Education, Nursing, Female, Humans, Male, Middle Aged, Models, Psychological, Nurses, Nursing Care, Regression Analysis, Specialties, Nursing, Nurse's Role
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