The 2017 Women’s Health Initiative study and use of hormone therapy: an emulated repeated cross-sectional study

Autor: Chen-Han Chueh, Pei-Kuan Ho, Wai-Hou Li, Ming-Neng Shiu, I.-Ting Wang, Yu-Wen Wen, Yi-Wen Tsai
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Druh dokumentu: article
ISSN: 1471-2458
DOI: 10.1186/s12889-024-19089-2
Popis: Abstract Background Hormone therapy (HT) use among menopausal women declined after negative information from the 2002 Women’s Health Initiative (WHI) HT study. The 2017 post-intervention follow-up WHI study revealed that HT did not increase long-term mortality. However, studies on the effects of the updated WHI findings are lacking. Thus, we assessed the impact of the 2017 WHI findings on HT use in Taiwan. Methods We identified 1,869,050 women aged 50–60 years, between June and December 2017, from health insurance claims data to compare HT use in the 3 months preceding and following September 2017. To address the limitations associated with interval-censored data, we employed an emulated repeated cross-sectional design. Using logistic regression analysis, we evaluated the impact of the 2017 WHI study on menopausal symptom-related outpatient visits and HT use. In a scenario analysis, we examined the impact of the 2002 trial on HT use to validate our study design. Results Study participants’ baseline characteristics before and after the 2017 WHI study were not significantly different. Logistic regressions demonstrated that the 2017 study had no significant effect on outpatient visits for menopause-related symptoms or HT use among women with outpatient visits. The scenario analysis confirmed the negative impact of the 2002 WHI trial on HT use. Conclusions The 2017 WHI study did not demonstrate any impact on either menopause-related outpatient visits or HT use among middle-aged women in Taiwan. Our emulated cross-sectional study design may be employed in similar population-based policy intervention studies using interval-censored data.
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