Breast cancer is the most common cancer in women worldwide, and one key predictor of Breast Cancer is whether there is a family history. Current best practice is to offer family history assessment at certain appointments, e.g. general health checks, prescribing for contraceptives, etc. The objective of this study is to determine and estimate the number of suitable appointments in general practice where family history could be assessed. We propose to investigate general practice patient records for women aged 30-60 years old from 2004 to 2016. We will calculate the annual proportion of women who have at least one or more suitable appointments, taking into account women's age, ethnicity, and socioeconomic status. The results of our study will be used to inform an economic evaluation which is estimating the value for money for current best practice of assessing family Breast Cancer risk.
The aim of this study is to determine the annual proportion of women registered in General Practice who have a relevant consultation where the Familial risk of Breast Cancer can be assessed. These appointments include consultations regarding Breast Cancer, Breast pain, first registration at practice, first oral contraceptive appointment, and hormone replacement therapy appointment.
We propose to conduct an observational annual cross-sectional study of women registered at general practice aged 30-60 years with no prior history of Breast Cancer. A descriptive analysis will be conducted to estimate the annual proportion of women with relevant appointments, with stratification by age, ethnicity, and socioeconomic status. This annual proportion will be calculated for each year from 2004 to 2016. The outputs of this study will be used to inform an economic evaluation of current best practice.
Number of women aged 30-60 with no prior history of breast cancer or familial breast cancer between 1st January to 31st December for each year from 2004 to 2016
- Number of relevant appointments (Appendix A) where familial Breast Cancer risk can be assessed between 1st January to 31st December for each year from 2004 to 2016
- Annual proportion of women who have an appointment where familial breast cancer risk could be assessed between 1st January to 31st December for each year from 2004 to 2016
Matthew Jones - Chief Investigator - University of Nottingham
Matthew Jones - Corresponding Applicant - University of Nottingham
Nadeem Qureshi - Collaborator - University of Nottingham
Paula Dhiman - Collaborator - University of Nottingham
Stephen Weng - Collaborator - University of Nottingham
HES Admitted Patient Care;Patient Level Townsend Score