The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Impact of Nurse-Patient Relationship on Quality of Care and Patient Autonomy in Decision-Making
Open accessAbstract
Background: The patient is observed to acquire a passive role and the nurse an expert role with a maternalistic attitude. This relationship among others determines the capacity for autonomy in the decision making of patients. Objectives: The aim of this study is to analyse the nurse-patient relationship and explore their implications for clinical practice, the impact on quality of care, and the decision-making capacity of patients. Design: A phenomenological qualitative study was conducted. Settings and participants: Thirteen in-depth interviews with nurses and 61,484 nursing records from internal medicine and specialties departments in a general hospital from 2015–2016. Methods: A discourse analysis and triangulation for these sources were conducted. Results: The category elaborated from nursing records was defined according to the following codes: Good Patient, Bad patient, and Social Problem. Analysis of the interviews resulted in a category defined as Patient as a passive object. Discussion: A good nurse-patient relationship reduces the days of hospital stay and improves the quality and satisfaction of both. However, in contrast, the good relationship is conditioned by the patient’s submissive role. Conclusion: An equal distribution of power allows decisions about health and disease processes to be acquired by patients, autonomously, with the advice of professionals. The nurse-patient relationship should not pursue the change in values and customs of the patient, but position the professional as a witness of the experience of the health and illness process in the patient and family.
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Cites
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Power imbalance between nurses and patients: a potential inhibitor of partnership in care
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Cited by
Can Artificial Intelligence Replace the Unique Nursing Role?
Mohanasundari, S. K., Kalpana, M., Madhusudhan, U., Vasanthkumar, K., B, R., Singh, R., Vashishtha, N., & Bhatia, V. (2023) · Cureus · doi:10.7759/cureus.51150 · Cited by 71
Muala, I. A., Al-Ghalabi, R. R., Alsheikh, G. A. A., Hamdan, K. B., & Alnawafleh, E. A. T. (2022) · International Journal of Professional Business Review · doi:10.26668/businessreview/2022.v7i3.0526 · Cited by 28
Metadata
- Authors
- Molina-Mula, J., & Gallo-Estrada, J.
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2020-01-29
- Volume
- 17
- Issue
- 3
- Pages
- 835
- ISSN
- 1660-4601 (ISSN-L)
- OpenAlex
- W3003419678
- Cited by
- 403
- References
- 38
- FWCI
- 40.04
- Type
- journal article
- Language
- en
- Open access
- gold
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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.