We produced a series of ‘Knowing Our Patch’ reports which provide a range of demographic and health inequalities data and analysis. Data covers different areas across the footprint of the NHS Midlands and Lancashire (NHS ML). The reports give a picture of groups at risk and look to address structural health inequalities which may contribute to poorer health outcomes and prevalence. Download reports below.
When considering service design or policy changes, health and care organisations are required by law to take into account the needs of protected characteristic groups. These are defined in the Equality Act (2010) and commissioners must ensure that appropriate engagement takes place.
Doing this at the beginning of projects helps to identify any potential negative impact to protected characteristic groups and demonstrate ‘due regard’ to the Public sector equality duty.
The reports provide valuable insight to support decision making processes including Equality and Health Inequalities Impact Risk Assessments. The demographic profiling of their area can also give organisations a greater understanding of the type of communities they serve, and their needs.
The reports are based on data from public sources such as Public Health England and the Office of National Statistics. This was then compiled and analysed by NHS ML’s Equality and Inclusion Project Team.
The reports were shared with all existing customers in the related areas last year and are now free to download and use by anyone interested in health inequalities data and vulnerability factors in these regions.
COVID-19 vulnerabilities report
The series includes a COVID-19 report which highlights that people from certain backgrounds and communities are at higher risk in relation to the virus prevalence and mortality. Findings are based on data from the first wave of the pandemic.
In exploring the issue and supporting decision making during and post COVID-19 recovery, the information can be used by decision makers to inform commissioning and commissioning intentions.
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