When nurses become ill, are they able to identify the predictors of the quality of care they received?
Muayyad M Ahmad 1 * , Rana M Elayan 1 , Salam Bani Hani 1 , Eman S Qzih 2 , Fadwa Alhalaiqa 3
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1 School of Nursing, University of Jordan, Amman, JORDAN2 Jordanian Royal Medical Services, Amman, JORDAN3 Faculty of Nursing, Philadelphia University, JORDAN* Corresponding Author

Abstract

Background: Nurses are the most qualified judges for quality of nursing care (QNC) because they have the greatest experience with standard care. It is vital to examine QNC from the perspective of nurses who have experience as hospitalized patients or as caregivers in order to perform an accurate assessment of the nursing care that is delivered to meet the needs of patients.
Aims: To examine the predictors of QNC from the perspective of nurses as patients and/or as caregivers for hospitalized relatives.
Methods: This study aimed a cross-sectional correlational design that utilized a convenience sample of 231 registered nurses recruited from eight hospitals in three health care sectors in Jordan. Data were collected using caring behaviors inventory, nurse professional competence scale, and using a single item rating scale that asked nurses to respond to the overall QNC.
Results: The hierarchical multiple regression showed that QNC scores was predicted with a high variance (61%) explained. The strongest predictive contribution was from nursing competencies. Only 34% of the participants gave positive scores for the overall QNC, and their perception was moderately positive.
Conclusion: It is necessary to examine QNC from the perspective of nurses who have experience as hospitalized patients or as caregivers.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Original Article

ELECTRON J GEN MED, 2023, Volume 20, Issue 4, Article No: em502

https://doi.org/10.29333/ejgm/13207

Publication date: 01 Jul 2023

Online publication date: 15 Apr 2023

Article Views: 660

Article Downloads: 529

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