Osteoporosis, bone & mineral

Determining patient preferences for the medical management of osteoporosis using conjoint analysis

Osteoporos IntPublished Cross-sectional study

Authors' conclusion

While about 60% of patients prioritized efficacy when selecting an osteoporosis therapy, the remaining 40% valued other factors more highly. Furthermore, individual patient characteristics and clinical factors did not reliably predict patient decision making

Study context

Population
Osteoporosis patients at an academic medical centercompleted the survey
Participants
304 patients
Outcome
Relative importance score of 6 osteoporosis medication attributes (higher = greater relative importance in decision-making)
Methodological detailsconjoint analysis, latent class analysis, logistic regression, single academic medical center, online survey
  • Conjoint analysis
  • Latent class analysis
  • Logistic regression
  • Single academic medical center
  • Online survey

Main finding

As reported in the abstract

Relative importance of medication attributes in decision making
Efficacy at preventing hip fractures
31.0%
Mode of administration
17.5%
Risk of serious side effects
16.6%
Dose frequency
13.9%
Efficacy at preventing spine fractures
12.5%
Risk of non-serious side effects
8.4%

Observational data: associations, not effects.

Further findings

Prioritised medication efficacy as top factor (latent class)

Proportion of cohort prioritising efficacy
60.9%

Factors associated with prioritising efficacy

Being a college graduate, stronger beliefs on necessity of osteoporosis medications, and never having used osteoporosis medicines were the only associated factors

Original publication

Determining patient preferences for the medical management of osteoporosis using conjoint analysis. Osteoporos Int. Published 18 September 2023. doi:10.1007/s00198-023-06882-9

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.