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Preventing Heart Attack and Stroke Events Through Surveillance (PHASES): Evaluation of a Health Analytics System for
Penni Russell1, Ellie Paige2, Mark Morgan3
1Department of Cardiology, Sunshine Coast University Hospital, Birtinya, Qld, Australia.
Insights
Existing health analytics systems can monitor cardiovascular disease (CVD) preventive care. Evaluation is needed to ensure accurate risk factor measurement and treatment for high-risk individuals.
Area of Science:
- Public Health
- Health Informatics
- Cardiovascular Medicine
Background:
- National guidelines recommend population-level screening and pharmacotherapy for high-risk individuals with cardiovascular disease (CVD).
- A validated system for continuous surveillance of CVD risk factors and treatment is currently lacking.
- This study assessed the utility of an existing health analytics system for CVD surveillance.
Purpose of the Study:
- To evaluate the Primary Sense health analytics system as a tool for cardiovascular disease (CVD) surveillance.
- To identify and rectify errors in data transfer and guideline implementation.
- To report on patient risk stratification and treatment adequacy within a primary health network.
Main Methods:
- The Primary Sense health analytics system was evaluated within a single Primary Health Network.
- Data accuracy was assessed, and errors related to Australian CVD guidelines were identified and corrected.
- Patient numbers in different risk categories and proportions receiving appropriate therapy were determined.
Main Results:
- Data transfer from electronic medical records to Primary Sense was accurate, but guideline implementation errors were found.
- Out of 254,357 individuals, 87,487 (34%) were eligible for CVD risk assessment.
- Among those assessed, 58% of 11,608 high-risk patients (including those with prior CVD or high risk scores) were inadequately treated.
Conclusions:
- Current health analytics systems show potential for monitoring cardiovascular disease (CVD) preventive care.
- System evaluation and refinement are crucial for accurate surveillance of CVD risk factors and treatment.
- These systems can support public health initiatives aimed at improving CVD outcomes.
Aim:
National cardiovascular disease (CVD) risk guidelines recommend population-level screening and pharmacotherapy for high-risk individuals. There is no validated system for surveillance of up-to-date risk factor measurement and treatment. This study evaluated an existing health analytics system as a potential CVD surveillance system.
Method:
In a single Primary Health Network, Primary Sense health analytics system was evaluated as a CVD surveillance system. Errors were identified and corrected. Numbers of patients within different risk groups were identified, and proportions on appropriate therapy were reported.
Results:
Data transfer from general practice electronic medical record systems to Primary Sense was correct, but errors were found regarding implementation of Australian CVD guidelines. Following corrections, out of a population of 254,357 individuals, 87,487 (34%) were eligible for CVD risk assessment. Of these, 4,199 (5%) had pre-existing CVD, 5,124 (6%) were clinically determined high-risk and 42,132 (54%) had no risk score available. Of those with a risk score available, 2,285 (6%) were high-risk. 11,608 patients had prior CVD, clinically determined high-risk or a high CVD risk score and 6,710 (58%) of these were inadequately treated.
Conclusions:
Health analytics systems in current use have the potential to act as surveillance systems to monitor CVD preventive care but require evaluation.
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