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Nurses' Perceptions of Nurse–Physician Collaboration and Quality of Care in Public Hospitals.
- Source :
- SAGE Open Nursing; 10/14/2024, p1-8, 8p
- Publication Year :
- 2024
-
Abstract
- Introduction: Nurse–physician collaboration is a fundamental part of the healthcare information flow, while poor or improper collaboration could result in poor healthcare outcomes and increased medical errors. Objective: This study investigated the relationship between nurse–physician collaboration and the perceived quality of healthcare services offered in Jordanian public hospitals, and associated factors. Methods: A descriptive correlational research design was used. A sample of 385 nurses employed in five Jordanian public hospitals was recruited. Nurse–Physician Collaboration Scale was used to assess collaboration, while the HEALTHQUAL scale was used to evaluate healthcare service quality. The IBM SPSS software (version 26) was used to analyze the data. Results: There was a positive correlation between nurse–physician collaboration and the perceived quality of healthcare services provided to patients (r = 0.778, p <.01). There was variability in the perception of nurse–physician collaboration based on gender, RN-to-patient staffing ratios, age, and income level (p <.05). No association was found between nurses' demographics and their perceptions of the quality of healthcare services provided to patients. Conclusions: Healthcare organizations should implement effective practices to promote nurse–physician collaboration, which could subsequently improve the quality of tangible services provided to patients. [ABSTRACT FROM AUTHOR]
- Subjects :
- PUBLIC hospitals
STATISTICAL correlation
PEARSON correlation (Statistics)
INTERPROFESSIONAL relations
MEDICAL quality control
T-test (Statistics)
INCOME
HOSPITAL nursing staff
STATISTICAL sampling
QUESTIONNAIRES
SENSORY perception
SEX distribution
NURSE-patient ratio
DESCRIPTIVE statistics
AGE distribution
NURSES' attitudes
NURSE-physician relationships
RESEARCH methodology
RESEARCH
ONE-way analysis of variance
DATA analysis software
INTEGRATED health care delivery
Subjects
Details
- Language :
- English
- ISSN :
- 23779608
- Database :
- Complementary Index
- Journal :
- SAGE Open Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 180248969
- Full Text :
- https://doi.org/10.1177/23779608241286767