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Quantifying disparities in HRT prescribing

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)

Access Type

Trusted Research Environment (TRE)

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