{
  "abstract": "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.",
  "authors": [
    {
      "affiliations": [
        "School of Nursing, The University of Hong Kong, Hong Kong, People's Republic of China",
        "Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong, Hong Kong SAR, People's Republic of China"
      ],
      "name": "Celine S L Chui"
    },
    {
      "affiliations": [
        "School of Nursing, The University of Hong Kong, Hong Kong, People's Republic of China"
      ],
      "name": "Celia Jiaxi Lin"
    },
    {
      "affiliations": [
        "School of Nursing, The University of Hong Kong, Hong Kong, People's Republic of China"
      ],
      "name": "Natalie Tsie"
    },
    {
      "affiliations": [
        "Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China"
      ],
      "name": "Marco Lee"
    },
    {
      "affiliations": [
        "Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China"
      ],
      "name": "Ashley Ching Yau Kwok"
    },
    {
      "affiliations": [
        "The Hong Kong Society for Rehabilitation, Hong Kong, People's Republic of China"
      ],
      "name": "Judy Lee"
    },
    {
      "affiliations": [
        "A-Lively Community Pharmacy, Aberdeen Kai-fong Welfare Association, Hong Kong, People's Republic of China"
      ],
      "name": "Bonnie Leung"
    },
    {
      "affiliations": [
        "School of Pharmacy, The Chinese University of Hong Kong, Hong Kong, People's Republic of China"
      ],
      "name": "Meyone Yuen Tung Ng"
    },
    {
      "affiliations": [
        "Division of Cardiology, Queen Mary Hospital, Hong Kong, People's Republic of China"
      ],
      "name": "Alston Conrad Chiu"
    },
    {
      "affiliations": [
        "Cardiology Division, The University of Hong Kong, Hong Kong, People's Republic of China",
        "Cambridge Stem Cell Institute, University of Cambridge, Cambridge, England, UK",
        "Cardiac and Vascular Center, The University of Hong Kong Shenzhen Hospital, Shenzhen, People's Republic of China"
      ],
      "name": "Emmanuel Chun Ka Wong"
    }
  ],
  "title": "User experience and feasibility of CVD risk models: a study on clinician and patient expectations, and implementation in primary healthcare with P-CARDIAC pilot study in Hong Kong",
  "uid": "79709e48-5bdc-50fd-9a72-2b44ec2a9a80"
}