Comparison of Healthcare Costs for Women with Treated Versus Untreated Vasomotor Symptoms Due to Menopause
- PMID: 38467985
- PMCID: PMC11052820
- DOI: 10.1007/s12325-024-02821-0
Comparison of Healthcare Costs for Women with Treated Versus Untreated Vasomotor Symptoms Due to Menopause
Abstract
Introduction: The study objective was to estimate all-cause healthcare resource utilization (HCRU) and medical and pharmacy costs for women with treated versus untreated vasomotor symptoms (VMS) due to menopause.
Methods: A retrospective study was conducted using US claims data from Optum Research Database (study period: January 1, 2012-February 29, 2020). Women aged 40-63 years with a VMS diagnosis claim and ≥ 12 and ≥ 18 months of continuous enrollment during baseline and follow-up periods, respectively, were included. Women treated for VMS were propensity score matched 1:1 to untreated controls with VMS. Standardized differences (SDIFF) ≥ 10% were considered meaningful. A generalized linear model (gamma distribution, log link, robust standard errors) estimated the total cost of care ratio. Subgroup analyses of on- and off-label treatment costs were conducted.
Results: Of 117,582 women diagnosed with VMS, 20.5% initiated VMS treatment and 79.5% had no treatment. Treated women (n = 24,057) were matched to untreated VMS controls. There were no differences in HCRU at follow-up (SDIFF < 10%). Pharmacy ($487 vs $320, SDIFF 28.4%) and total ($1803 vs $1536, SDIFF 12.6%) costs were higher in the treated cohort. Total costs were 7% higher in the treated cohort (total cost ratio 1.07, 95% CI 1.05-1.10, P < 0.001). The on-label treatment pharmacy costs ($546 versus $315, SDIFF 38.6%) were higher in the treated cohort. Off-label treatment had higher medical costs ($1393 versus $1201, SDIFF 10.4%).
Conclusions: Most women with VMS due to menopause were not treated within 6 months following diagnosis. While both on- and off-label treatment increased the total cost of care compared with untreated controls, those increases were modest in magnitude and should not impede treatment for women who report symptom improvement as a result of treatment.
Keywords: Database; HCRU; Health care costs; Healthcare resources; Hormone replacement therapy; Hot flashes; Propensity score; Resource use; Retrospective studies; Treatment.
© 2024. The Author(s).
Conflict of interest statement
Aki Shiozawa, Shayna Mancuso, and Christopher Young are employees of Astellas Pharma, Inc. Jennifer Friderici, Summer Tran, and Helen M. Trenz are employees of Optum, which received funding for the current study from Astellas Pharma, Inc.
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