Background: Ethnic minorities account for 34% of critically ill patients with COVID-19 despite constituting 14% of the UK population
Effective triage at hospital admission is required to ensure pts from all ethnic groups are risk stratified to appropriate level of care
(2/10)
So far it has been unclear how well risk models perform to risk stratify individual ethnic minority groups and whether models sufficiently account for biological and socioenvironmental risk factors to which ethnic minorities are predominantly predisposed inc. #COVID19. (3/10)
Ethnic minorities are more likely than Caucasians to be hospitalised with #COVID19 from most deprived IMD quintile. Data cuts haven’t yet explored IMD subdomains -Barriers to Housing, Living Environment & Adult Skills-on presenting with multilobar pneumonia & ICU admission (4/10)
Admission from areas of highest indoor LE deprivation, outdoor LE deprivation, wider BHS deprivation and adult skills deprivation are associated with multilobar pneumonia on presentation and ICU admission, which are mortality risk factors. (5/10) #COVID
Ethnic minority groups exhibit different risk profiles inc- different exposure to various derivation types, presentation with multilobar pneumonia and ICU admission - not a one size fits all.
Getting ethnicity coding right is essential @owenchinembiri@NHS_RHO@DrHNaqvi (6/10)
We must develop clinical risk tools that triage patients from all ethnicities to the appropriate care level - admission risk tools must factor in hidden clinical risk factors including deprivation, multimorbidity multiethnic age structures. (7/10)
Ethnic minorities are younger (yet admission clinical risk tools often score age but not other risk factors such as deprivation or multimorbidity)- look at the average age by ethnicity in the UK. Clinical risk tools must capture multiethnic age structures and risk factors (8/10)
Ethnic minorities exhibit younger age structures, ⬆️ multimorbidity & disproportionate exposure to unscored risk factors inc. obesity & deprivation resulting in potential triage to an inappropriate level of care with clinicians left falsely reassured regarding severity. (9/10)
#COVID-19 admission clinical risk stratification tools need to be developed to account for risk factors to which ethnic minorities are predominantly exposed. This will enable early identification of patients at risk of deterioration & ensure triage to appropriate care (10/10)
1) Decide on your topic- keep the scope broad to start with. You don’t yet know what’s out there or where the gaps are.
2) Identify themes, debate and gaps - Start with a broad search, evaluate the arguments and identify the gaps.
3) Look through journals, books and search engines. Highly cited papers are useful but also look at those which perhaps aren’t as well cited too- equally important in a lit search. Get an idea of up to date and slightly older works too. Helps to keep track via an excel sheet.
4) Evaluate sources. Look at:
- methodology
- sample size
- spread of study
- literature which the paper relies upon
- discussion angle
- conclusions (in the context of the study type and methodology).
Remember that just because it’s published doesn’t make it high quality!
Researchers have found that happiness supports: a stronger immune system, stronger resilience in the face of stress, a stronger heart and less risk of cardiovascular disease, alongside quicker recovery times when overcoming illness or surgery
Happiness maximises our ability to look after ourselves. Happiness supports more exercise, better socializing, healthy eating, good sleep hygiene.