Barriers and Expectations for Patients in Post-Osteoporotic Fracture Care in France: The EFFEL Study

Value Health. 2022 Apr;25(4):571-581. doi: 10.1016/j.jval.2021.10.005. Epub 2021 Nov 25.

Abstract

Objectives: This study aimed to quantify the relative importance of barriers to better secondary prevention of osteoporotic fractures and of care expectations expressed by patients with osteoporotic fractures in France.

Methods: A qualitative exploration of potential barriers to care and expectations was undertaken through a systematic literature review and in-depth patients interviews. A list of 21 barriers and 21 expectations was identified. These were presented to 324 subjects with osteoporotic fractures, identified in a representative sample of the French population, in the form of best-worst scaling questionnaires. Patients rated the relative importance of the attributes, and arithmetic mean importance scores were calculated and ranked. A Bayesian hierarchical model was also performed to generate a relative importance score. Latent class analysis was performed to identify potential subgroups of patients with different response profiles.

Results: A total of 7 barriers were rated as the most important, relating to awareness of osteoporosis and coordination of care. The highest-ranked barrier, "my fracture is not related to osteoporosis," was significantly more important than all the others (mean importance score 0.45; 95% confidence interval 0.33-0.56). A similar ranking of attributes was obtained with both the arithmetic and the Bayesian approach. For expectations, no clear hierarchy of attributes was identified. Latent class analysis discriminated 3 classes of respondents with significant differences in response profiles (the educated environmentalists, the unaware, and the victims of the system).

Conclusions: Better quality of care of osteoporosis and effective secondary fracture prevention will require improvements in patient education, training of healthcare professionals, and coordination of care.

Keywords: attribute identification; best-worst scaling; fracture; latent classes analysis; osteoporosis; preference elicitation methods; secondary prevention.

Publication types

  • Systematic Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem
  • Humans
  • Motivation
  • Osteoporosis* / epidemiology
  • Osteoporotic Fractures* / epidemiology
  • Osteoporotic Fractures* / prevention & control
  • Surveys and Questionnaires