Key result
Pharmacist-led P-CARDIAC risk tool shows high feasibility and acceptability in early pilot testing.
Why the study?
Is the P-CARDIAC risk prediction tool acceptable and feasible for use in pharmacist-led primary healthcare services in Hong Kong?
Cross-Sectional (n=145)
Yes
Is the P-CARDIAC risk prediction tool acceptable and feasible for use in pharmacist-led primary healthcare services in Hong Kong?
The P-CARDIAC machine-learning CVD risk prediction tool is well-received by patients in pharmacist-led primary care, highlighting the need to improve awareness and adoption among clinicians and the public.
Background A newly developed machine-learning-driven cardiovascular disease (CVD) risk prediction tool, the Personalised CARdiovascular DIsease risk Assessment for Chinese (P-CARDIAC), tailored for the Hong Kong population, has demonstrated superior predictive performance compared with existing risk prediction tool. This study aims to explore the acceptability and expectations of P-CARDIAC among clinicians and the general public, and to assess its feasibility within pharmacist-led services in local primary healthcare systems. Methods A cross-sectional study was conducted to investigate the awareness and expectations of risk prediction tools among clinicians and the general public. A pragmatic pilot study was carried out to implement P-CARDIAC in pharmacist-led services at local primary healthcare centres. Data analysis included descriptive statistics, univariate regression modelling and reliability assessments of validated measurement scales. Results For the cross-sectional study, a total of 113 of the general public and 17 clinicians responded to the questionnaire. The general public demonstrated low awareness but high health-seeking behaviour related to CVD risk prediction tools. Clinicians, especially cardiologists, reported limited experience with such tools due to unavailability and limited user-friendliness. In the pilot study, 15 participants engaged with pharmacist-led services incorporating P-CARDIAC. They expressed positive perceptions of the tool, believing that it could support better medication adherence and disease management. The pharmacist-led services incorporating P-CARDIAC were well-received by participants. Conclusion P-CARDIAC demonstrates promise as a local risk prediction tool to enhance cardiovascular care in Hong Kong. The study underscores the importance of improving awareness and adoption of such CVD risk tools.
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Ch et al. (2026) conducted a cross-sectional in Cardiovascular disease risk prediction (n=145). P-CARDIAC (Personalised CARdiovascular DIsease risk Assessment for Chinese) was evaluated on Awareness and expectations of risk prediction tools and feasibility within pharmacist-led services. Implementation of the P-CARDIAC risk prediction tool in pharmacist-led services was well-received by 15 pilot participants, despite low baseline awareness among the general public.
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