Abstract
BACKGROUND: The impact of digital technology on healthcare is remarkable as it greatly enhances the quality of health services in developed and developing nations. By improving the accessibility of health information and streamlining service provision, technology plays a crucial role in advancing healthcare. The study objectives are to assess the level of digital competencies among staff nurses and to find the association of digital competencies with selected demographic variables. MATERIALS AND METHODS: This cross-sectional study was done on 300 staff nurses selected by purposive sampling technique. Data collection was done using the 5-point Likert scale through an online survey. The 5-point Likert scale went from frequently (5) to never (1). To determine the factors associated with basic digital competency, a multivariable logistic regression was carried out, with a P value of less than 0.05 considered statistically significant. A 95% confidence interval, and a coefficient estimate were used to explain the strength of the association. RESULT: Out of the 300 staff nurses who were a part of the study, all of them answered, indicating a 100% response rate. The majority of the samples were from the age group of 20-25 years (61%). The majority of respondents were female (80%). The majority of the sample had an advanced level of digital competencies (53%). According to the findings of the multivariable logistic regression model, individuals between the ages of 26-30 years, gender (male), and education were found to have a significant association with digital competency, as indicated by a level of significance below 0.005. CONCLUSION: In summary, the staff nurses have advanced level of digital competency. The findings emphasize the necessity for staff nurses to strengthen their digital competency for patient care in the hospital.