Optimizing cohort criteria for multi-country analysis of women experiencing menopause in administrative databases

Authors

• Victoria Banks, Bayer PLC, 400 S Oak Way, Reading, RG2 6AD, United Kingdom.
• James Brash, , IQVIA, 3 Forbury Place, 23 Forbury Road, Reading, RG1 3JH, United Kingdom.
• Cecilia Caetano, Bayer Consumer Care AG, Peter Merian-Strasse 84, Basel, 4052, Switzerland.
• Carina Dinkel-Keuthage, Bayer AG, Pharmaceuticals, Müllerstraße 178, Berlin, 13353, Germany.
• Ronald Herrera, Bayer AG, Pharmaceuticals, Müllerstraße 178, Berlin, 13353, Germany.
• Cécile Janssenswillen, Bayer Consumer Care AG, Peter Merian-Strasse 84, Basel, 4052, Switzerland.
• Mariam Saadedine, Department of Obstetrics and Gynecology, George Washington University, Washington, DC, U.S.
• Nils Schoof, Bayer AG, Pharmaceuticals, Müllerstraße 178, Berlin, 13353, Germany.
• Carsten Moeller, Bayer AG, Pharmaceuticals, Müllerstraße 178, Berlin, 13353, Germany. [email protected].

Document Type

Journal Article

Publication Date

3-28-2026

Journal

BMC medical research methodology

DOI

10.1186/s12874-026-02830-3

Keywords

Cohort study; Electronic health data; Hormone therapy; Menopause; Menopause symptoms; Phenotype algorithm; Real-world data; Vasomotor symptoms

APA Citation

Banks, Victoria; Brash, James; Caetano, Cecilia; Dinkel-Keuthage, Carina; Herrera, Ronald; Janssenswillen, Cécile; Saadedine, Mariam; Schoof, Nils; and Moeller, Carsten, "Optimizing cohort criteria for multi-country analysis of women experiencing menopause in administrative databases" (2026). GW Authored Works. Paper 8813.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/8813

Department

Obstetrics and Gynecology