Trajectories of Follow-up Compliance in a Fracture Liaison Service and Their Predictors: A Longitudinal Group-Based Trajectory Analysis.

ABSTRACT:

Introduction/objectives

Identification of groups of patients following similar trajectories of time-varying patient characteristics are often of considerable clinical value. This study provides an example of how the identification of trajectory groups of patients can be useful.

Methods

Using clinical and administrative data of a prospective cohort study aiming to improve the secondary prevention of osteoporosis-related fractures with a Fracture Liaison Service (FLS), trajectory groups for visit compliance over time (2-year follow-up) were predicted using group-based trajectory modeling. Predictors of trajectory groups were identified using multinomial logistic regressions.

Results

Among 532 participants (86% women, mean age 63 years), three trajectories were identifie

SUBMITTER: Senay A 

PROVIDER: S-EPMC8527586 | biostudies-literature | 2021 Jan-Dec

REPOSITORIES: biostudies-literature