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  • In the Start Age box type 45 or 18 if looking for indigenous patients to show patients older than 45.
  • If you want to search for indigenous patients older than 18 you will have to also apply the ‘Indigenous’ filter on the ‘Ethnicity’ tab. See here for full details: Ethnicity Filter
  • OPTIONAL: In the "General" filter tab click on 'Active (3x in 2yrs)' - this will only show those patients with at least 3 visits in the last 2 years


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  • Click on "Conditions" tab under Diabetes select “No”
  • Select "No" for Heart Failure
  • Select “No” for all conditions listed under the CVD group
  • Select “No” for “Chronic Renal Failure”

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We have now created a filter to find patients older than 45 (or indigenous patients older than 18), with no diagnosis of diabetes, Heart Failure, CVD or chronic renal disease.

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  • Click on the ''Measures/Waist/CVD Risk'' tab and select the parts of the graph ''Greatly Increased'' that is M > 102cm,F > 88


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To find patients at high risk of a CV event we will use the CV Event risk report in CAT4 - full details can be found here: CV (Cardiovascular) Event Risk CAT calculated

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To find the patients at high risk of a CV event in the next five years, click on the CV Even Risk report tab and select the 16- >=30% ranges, then click on 'Export'


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This will show a list of all patients at 16% or higher risk of a CV event in the next five years, with the selected demographic filter (45+ or indigenous and 18+) and with no diagnosis of heart disease, diabetes or chronic kidney disease.

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This will create a cross-tabulated report showing only those patients older than 45 (or indigenous patients older than 18 ) with no diabetes, Heart Failure, CVD or chronic renal disease and have increased waist circumference and high CV event risk in the last two years. In my example there are only 22 patients - these would be at high risk and benefit from being referred to the My Health for Life program as soon as possible.


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Incomplete CV Event risk data

The second tab of the report shows the patients with missing data items:


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Active patients with more than three visits should have most of the data items completed and this report will show if this is the case or not. No CV event risk can be calculated if the data is incomplete.

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