Organizational Factors Associated with Evidence-Based Practice Knowledge, Attitudes, and Implementation among Nurses in Saudi Arabia.
Naji AlqahtaniKyeung M OhPanagiota KitsantasMargaret RodanAdnan M InnabSaeed AsiriAli KerariFayez Bin HayyanMohammad AlharbiGhareeb BahariPublished in: International journal of environmental research and public health (2022)
Evidence-based practice (EBP) is crucial in keeping nurses aware of the current knowledge and improving clinical decision-making. The integration of nurses' EBP competencies and organizational support has been suggested to create an effective arena in implementing EBP. The purpose of the study was to examine organizational factors influencing nurses' EBP knowledge, attitudes, and implementation and identify staff nurses' perceptions of EBP nursing leadership and hospital supports in Saudi Arabia. Data were collected from a convenience sample of staff nurses (N = 227) working in four hospitals using a cross-sectional, correlational descriptive design. Level of education ( p < 0.05), EBP training ( p < 0.05), unit type (ICU ( p < 0.001) and ER ( p < 0.01)), perceived nursing leadership ( p < 0.001), and work environment ( p < 0.05) supports were found significantly associated with nurses' knowledge. Magnet recognition ( p < 0.01) and knowledge ( p < 0.001) had significant influence on nurses' attitudes. Unit type (ER) ( p < 0.05), knowledge ( p < 0.001), and attitudes ( p < 0.001) were associated with implementation. Encouragement to attend EBP trainings from nursing leadership was perceived by most nurses (51.1%). Nurses reported their hospitals support EBP through training (68.2%). Findings support the need for healthcare systems to create a culture that facilitates EBP implementation to enhance nurses' EBP competencies and improve patients' outcomes. Nursing managers may consider preparing nurses through education.
Keyphrases
- healthcare
- mental health
- decision making
- quality improvement
- emergency department
- type diabetes
- end stage renal disease
- physical activity
- chronic kidney disease
- machine learning
- public health
- health information
- newly diagnosed
- social media
- depressive symptoms
- skeletal muscle
- peritoneal dialysis
- deep learning
- health insurance
- affordable care act
- insulin resistance
- glycemic control
- weight loss
- data analysis
- adverse drug