Clinical Scorecard: Creation and assessment of a digital well-being measurement tool for university students
At a Glance
Category
Detail
Condition
Digital Well-Being
Key Mechanisms
Assessment of behavioral, emotional, cognitive, self-regulatory, and responsible dimensions of digital engagement.
Target Population
University students
Care Setting
Higher education
Key Highlights
Development of the Digital Well-Being Scale (DWS) for university students.
Six-factor structure identified: Task Interference, Digital Safety and Responsible Use, Perceived Control and Satisfaction, Digital Life Balance, Emotional Regulation, Digital Dependence and Frustration.
Excellent fit of the DWS model demonstrated through confirmatory factor analysis.
Satisfactory internal consistency and validity across dimensions.
Measurement invariance supported across gender.
Guideline-Based Recommendations
Diagnosis
Utilize the DWS for screening digital well-being among university students.
Management
Implement interventions based on DWS findings to promote digital well-being.
Monitoring & Follow-up
Regularly assess digital well-being using the DWS to track changes over time.
Risks
Monitor for signs of digital dependence and emotional strain related to technology use.
Patient & Prescribing Data
Undergraduate and postgraduate students from a public university in Ghana.
DWS can guide interventions aimed at improving digital well-being.
Clinical Best Practices
Incorporate the DWS into routine assessments of student well-being.
Use findings to tailor support services for students struggling with digital engagement.
