Data Analysis
Cross-source consensus on Data Analysis from 1 sources and 5 claims.
1 sources · 5 claims
Evidence quality
Other
Highlighted claims
- Quantitative analyses are descriptive and exploratory. — Multinational validation of the PREVENT and SCORE2 cardiovascular risk equations across 6.4 million individuals
- Interview data will be analysed with a combined framework and reflexive thematic analysis approach. — Multinational validation of the PREVENT and SCORE2 cardiovascular risk equations across 6.4 million individuals
- Follow-up data collection mainly assesses completion rates, while pre-post change analyses are underpowered. — Multinational validation of the PREVENT and SCORE2 cardiovascular risk equations across 6.4 million individuals
- Qualitative analyses are grouped by setting and identity to examine differences in experiences and change processes. — Multinational validation of the PREVENT and SCORE2 cardiovascular risk equations across 6.4 million individuals
- Quantitative analysis will assess demographics, baseline outcomes, platform engagement, adherence, and full-trial parameters. — Multinational validation of the PREVENT and SCORE2 cardiovascular risk equations across 6.4 million individuals