{"id":15494,"date":"2020-06-26T13:24:28","date_gmt":"2020-06-26T13:24:28","guid":{"rendered":"https:\/\/factcheckni.org\/?p=15494"},"modified":"2022-02-27T14:50:54","modified_gmt":"2022-02-27T14:50:54","slug":"deep-dive-covid-19-related-inequalities","status":"publish","type":"post","link":"https:\/\/factcheckni.org\/topics\/health\/deep-dive-covid-19-related-inequalities\/","title":{"rendered":"Deep dive: COVID-19 related inequalities"},"content":{"rendered":"\n

Making basic comparisons between the numbers of COVID-19 positive tests or deaths across different geographic regions using raw figures may seem straightforward. But coming to conclusions about the significance of differences is fraught with difficulty, given differences in population structures (particularly age).<\/p>\n\n\n\n

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This explainer builds on our outline article<\/a> and looks at the wealth of data and the charts behind recent reports from the Department of Health (DoH)<\/a> and Northern Ireland Statistics and Research Agency (NISRA)<\/a>. Those organisations present a standardised analysis of COVID-19 infections (positive test results), hospital admissions and deaths, to assess the different health outcomes across regions of Northern Ireland, with a particular focus on areas of least and most deprivation.<\/p>\n\n\n\n

The DoH analysed surveillance data up to 26 May 2020, while NISRA focused on deaths between 1 March and 31 May 2020. Back in April, FactCheckNI published several<\/a> articles<\/a> about death rates.<\/p>\n\n\n\n

A comparison of mortality rates across England, Scotland, Wales and Northern Ireland<\/a> (for March and April) was recently published by the Office for National Statistics (ONS). (Note that the ONS data were annualised \u2013 assuming the rate of deaths during March and April would prevail over 12 months \u2013 unlike the three-month figures produced by NISRA.) ONS also published mortality rate analysis by relative deprivation for England and Wales<\/a>, and reports on how mortality rates vary by ethnicity<\/a> and religion<\/a>.<\/p>\n\n\n\n

Age-standardised rates for infection, hospital admission and mortality have been adjusted to take into account underlying differences in population structure (age and sex) relative to a standard \u2018reference\u2019 population<\/a>. These adjustments allow valid comparisons to be made between geographical areas.<\/p>\n\n\n\n

Summary<\/strong><\/p>\n\n\n\n