Status
Ongoing
Title
Quantifying disparities in HRT prescribing
What is the aim of the study and why is it important?
Objective a
To determine the overall uptake of HRT in women of menopausal age and describe uptake of different types of HRT, duration of use and demographics of women taking HRT and those who are not over a 10-year period.
Objective b
To identify predictors of HRT uptake
To describe the population with severe or problematic menopause symptoms, identify people with risk factors for problematic symptoms of menopause (identified from a parallel systematic review and meta-analysis) who may not have consulted and estimate the numbers of women with problematic menopause symptoms who may have benefitted from HRT treatment.
Chief Investigator
Dr Jennifer Hirst
Lead Applicant Organisation Name
Sponsor
Oxford
Location of research
Oxford
Date on which research approved
30-Oct-2023
Project reference ID
OX322
Generic ethics approval reference
18/EM/0400
Are all data accessed are in anonymised form?
Yes
Brief summary of the dataset to be released (including any sensitive data)
QResearch database 1500 general practices in England, including data on demographics, diagnoses, medication, laboratory investigations, pregnancy information, referrals.
In 2020 there were 4.6 million women in the 50-60 age category in the UK.(43) QResearch represents 15% of GP practices, suggesting that we will have a cohort of around 700,000 women meeting our inclusion criteria in 2020.
Extending back over 10 years, we would expect an additional 300,000 to be within this age range during the follow-up period, giving a total cohort size of approximately 1 million.
Breast cancer, osteoporosis & thrombosis outcomes
Public Benefit Statement
Research Team
Dr Jennifer Hirst (University of Oxford)
Prof Julia Hippisley-Cox (University of Oxford)
Dr Sharon Dixon (University of Oxford)
Professor Carol Coupland (University of Nottingham)
Dr Sarah Hillman (University of Warwick)
Ms Lynn Tatnell
Ms Wema Mtika (University of Oxford)
Approval Letter
Access Type
Trusted Research Environment (TRE)