State sequence analysis for a deeper understanding of treatment adherence patterns in fragility fracture patients
Authors' conclusion
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.
Study context
- Population
- Patients aged 50 or older with fragility fractures between 2012 and 2017, Lombardy, Italy
- Participants
- 8,976 patients
- Exposure
- Conventional method vs alternative method to describe adherence
- Outcome
- Discriminatory power (AUC) to predict refracture risk
Methodological detailshealthcare utilization databases, Fine and Gray's model, state sequence analysis and clustering
- Healthcare utilization databases
- Fine and Gray's model
- State sequence analysis and clustering
Main finding
As reported in the abstract
Discriminatory performance (AUC)
| Group | AUC |
|---|---|
| Conventional method | 0.646 |
| Alternative method | 0.644 |
AUC
Conventional method0.646
Alternative method0.644
Observational data: associations, not effects.
Further findings
- Long-term adherence significantly reduced risk of combined death and refracture vs non-adherent, with both methods
Original publication
State sequence analysis for a deeper understanding of treatment adherence patterns in fragility fracture patients. Osteoporos Int. Published 2 February 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →