The UK has reached a tragic milestone measured in #COVID19 deaths. We @GlobalHlth5050 track deaths & cases (& more) in the UK & 186 other countries around🌎
👇Thread on global importance of #sex-disaggregated data (spoiler alert: includes startling revelation from @PHE_uk )
In England (as in most countries) we have seen that there are differences between men & women along the clinical pathway, from testing to death.
Data from England
👇👇
Much of the higher death rate in men is in older age groups (and we know that ethnicity is a big driver too):
Death rates per 100,000 people in England, by age and sex
👇👇
The figs 👆show why disaggregated data are important. The big question is why we see difference, & how we can reduce health inequities.
Sex-disaggregated data with #gender analysis can point the way to more effective (and equitable) public health interventions. #gender101
However, recently we have noticed that for England, but not for Scotland or Wales or N.Ireland, the reporting of sex-disaggregated data is inconsistent. Sometimes @PHE_uk reports it, sometimes they don't.
So we decided to ask them why.
Here's the response we received:
Despite decades of evidence showing that #sex & #gender matter to all health outcomes, & 10 months of painstaking work to show how this matters in COVID, this was not sufficient to convince the sages of @PHE_uk who declared "sex does not appear to be an important risk factor".
We don't agree with @PHE_uk. And as we move into widespread vaccine programmes, evidence indicates that gender matters for vaccine scepticism/uptake too.
A catalogue of irredeemable errors at the highest levels has led us to a situation of 100,000 #COVID19 deaths in the UK.
Absence of sex-disaggregated data is an error that is easily and quickly redeemable - & will help us move forward with better & more actionable evidence.
End of thread.
• • •
Missing some Tweet in this thread? You can try to
force a refresh