New analysis on cancer screening inequality (January 2022)
The Camden and Islington Public Health Intelligence team has recently completed an equity analysis to explore existing disparities in cancer screenings looking at the North Central London population groups before the COVID-19 pandemic.
This analysis highlights the differences in both bowel screening coverage and cervical screening coverage between certain groups (for example, by gender, age, race/ethnicity and disability status) and GP practice level. There is also an association with deprivation, and lower bower screening coverage is seen in those who smoke, those who are obese, and those with a mental health condition (both depression or severe mental health).
This analysis will help identify opportunities for local strategies and prevention to help improve overall cancer screening, and reduce inequity gaps.

Unequal impact of COVID-19: BAME disproportionality
This slide pack covers the latest PHE and ONS data, national and local, showing diagnosis and death rates by deprivation, underlying conditions and ethnicity (note: these analyses did not account for the effect of occupation, co-morbidities or obesity).

Unequal impact of COVID-19: BAME disproportionality
This presentation includes data from our Human Resources which shows the diversity of staff members by ethnicity and the level of their role. It also shows the breakdown of sick and isolating staff that identify as Black, Asian or other non-white ethnicities compared to White staff. This has also been broken down into service area.

Unequal impact of COVID-19: BAME disproportionality
This slide pack covers lived experience of Black, Asian and other or mixed ethnic (BAME) communities regarding the issues they have been facing around overcrowding as a result of covid-19 from Early Help services and VCS.

Unequal impact of COVID-19: BAME disproportionality
Section 1 (slides 1 – 3): The Public Health England (PHE) review confirms the risk of mortality as a result of covid-19 by ethnicity. Data on access to care and emergency response has been taken from our local VCS partner feedback and indications from local data.) Data on the care workforce by ethnicity was taken from our local data and the
Section 2 (Slides 4 – 7) covers demographic information on Black, Asian, and other or mixed ethnic people delivering direct care in the wider social care sector from the Skills for Care 2019 Social Care Workforce Review (note: factors that need to be considered are age, sex, underlying health conditions, ethnicity, and pregnancy.) Information on Camden’s ASC workforce was taken from GLA 2016-based Ethnic Group Projections - mid-2020). Demographic information on people receiving ASC support in Camden has been taken from our local service data.
Section 3: (slides 8-15) sets out information on Adult Social Care activity during Covid-19 and looks at data relative to ethnicity including the ASC cohort of Camden’s shielded residents. (Service held data NOT official statistics including qualitative feedback from communities)
Section 4: (Slides 16 – 18) shows information related to the Adult Social Care outcomes framework which has provided some information gathered before Covid-19 on the experiences of people who are BAME and in receipt of social care support in Camden.

Unequal impact of COVID-19: BAME disproportionality
Camden Demographics of Shielded Population by location age ethnicity deprivation gender GPs and reason for shielding.

Unequal impact of COVID-19: BAME disproportionality
Further analyses of death registration data and 2011 census data .

New analysis on cancer screening inequality (January 2022) - Appendix
The Camden and Islington Public Health Intelligence team has recently completed an equity analysis to explore existing disparities in cancer screenings looking at the North Central London population groups before the COVID-19 pandemic.
This analysis highlights the differences in both bowel screening coverage and cervical screening coverage between certain groups (for example, by gender, age, race/ethnicity and disability status) and GP practice level. There is also an association with deprivation, and lower bower screening coverage is seen in those who smoke, those who are obese, and those with a mental health condition (both depression or severe mental health).
This analysis will help identify opportunities for local strategies and prevention to help improve overall cancer screening, and reduce inequity gaps.

Unequal impact of COVID-19: BAME disproportionality
This presentation includes some national data on health experiences of the BAME population, 2011 Census data on the ethnic make-up of Camden residents and ONS data on mortality rate by ethnicity as a result of Covid-19.
It then deep dives into what our VCS organisations have heard first hand from our Black, Asian and other non-white ethnicity communities.

This helps us to understand how the government measures have exacerbated the effects of COVID-19, and how they will continue to disproportionately affect people. (Data collated through conversations with our VCS partners).

Unequal impact of COVID-19: BAME disproportionality
This slide pack highlights immediate and evolving labour market implications, referencing the specific experience of Black, Asian and Minority Ethnic (BAME) residents.