The research aims to enhance the understanding of treatment adherence patterns in fragility fracture patients using sequence analysis.
Utilized state sequence analysis (SSA) to analyze treatment patterns.
Conducted cluster analysis for grouping similar adherence behaviors.
Compared predictions of refracture risk using traditional methods and SSA.
The alternative method did not significantly change refracture risk predictions.
SSA improved the description and visualization of adherence patterns.
Abstract
Based on the SSA and cluster analysis, the alternative method does not significantly modify the prediction of the refracture risk but enhances the description and visualization of the adherence patterns.