Recipe Name:

QIM 8 – Cardiovascular Risk

Rationale:

Assessment of absolute CVD risk based on multiple risk factors is more accurate than that based on individual risk factors due to the cumulative nature of risk effects. Basing patient

management decisions on this approach should improve CVD outcomes.

Target:

  • Proportion of regular indigenous clients aged 35 -74 and regular non-indigenous clients aged 45 to 74 years with no recorded CVD, who have had all of the following information recorded:
  • Tobacco smoking
  • Diabetes
    • Diabetes status: Type 1 or Type 2 Diabetes
    • Diabetes risk: Fasting Glucose Test result, or a screening for glycosylated haemoglobin (HbA1c test result)
  • Systolic blood pressure
  • Total cholesterol and HDL cholesterol levels
  • Age
  • Sex

Anyone with an existing cardiovascular conditions is excluded from this report.

CAT Starting Point:

  1. CAT Open - CAT4 view (all reports) loaded
  2. Population Extract Loaded and Extract Pane “Hidden”
    1. Filter Pane open and under the ‘General’ tab ‘Active Patients’ (3x <2 years) selected

The CV even risk report in CAT4 shows the risk level of patients based on the National Vascular Disease Prevention Alliance (NVDPA) guidelines: https://www.cvdcheck.org.au/australian-absolute-cardiovascular-disease-risk-calculator

The report will show the patients with all recorded values and their calculated risk and a second report will show those patients with incomplete data and which data items are missing. The second report in particular can be used to plan a quality improvement activity addressing cardiovascular risk and related measures.


CAT4 starting point






Report Steps

This report will show you the CV Event risk status of your selected patient group and will allow you to measure improvement over time by comparing your reports.

The title of the report shows the number of patients matching the search criteria, in this case 2002 regular patients aged between 45 and 74 years. Out of those 1848 are eligible for the risk calculation as they don’t have a diagnosis of a cardiovascular condition. Out of the 1848 eligible patients 1299 or 70.3% have all measures in place to calculate their CV Event risk.



The next tab shows excluded and incomplete patient records:



In this example there are 154 patients with a diagnosed condition who were excluded (2002-154= 1848) and 549 were excluded due to missing data items as listed in the graph. This graph makes it easy to measure change as part of a QI activity. Patients can be easily identify by clicking on the graph and their records can be updated or a Topbar prompt can be created for the missing data items.


To Export Patient List to Microsoft Excel:

1.  Click on the “Export Icon” at the top of the Patient Reidentification window.

2.  Click on “Excel”

3.   Choose a file name and a location to save to (eg. Create a folder C:/ClinicalAudit/CAT Patient FollowUp)

4.  Click “Save”


The steps above will produce a list of patients with contact details in MS Excel which can then be used to:

1.   Go back through the individual patient records in the GP Clinical Desktop System (CDS) and update known records

2.  Phone patients to update their record

3.  Produce a mail merge to recall patients for follow up