HONG KONG SAR – Media OutReach Newswire – 6 October 2024 – The Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, has successfully launched a large-scale community program this year, utilizing the innovative COSA screening tool to identify over 1,000 individuals at high risk for osteoporosis. This initiative has significantly increased the rate of medical follow-ups among seniors, establishing a model for enhancing bone health within primary care settings.
Professor Cheung Ching-lung(Left 2), Associate Professor, The Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, and Convenor of COSA and three elderly health ambassadors share findings of Community Screening Program.
Professor Cheung Ching-lung, Associate Professor, The Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, and Convenor of the COSA Osteoporosis Community Screening Programme, stated, “The survey highlights a critical lack of awareness about osteoporosis among seniors in Hong Kong. Very few individuals undergo regular bone density testing. Osteoporosis is a condition that can be prevented, diagnosed, and treated. Early risk assessments are essential for preventing and managing the disease, increasing bone density, and reducing the risk of fractures.” He further noted that international studies have shown that employing risk assessment tools in primary care settings for seniors is both cost-effective and significantly reduces the incidence of fractures and associated treatment costs, ultimately benefiting society as a whole.
A Three-Pronged Approach to Osteoporosis Prevention
To effectively tackle the threat of osteoporosis, over 20 experts from various medical societies and NGOs convened for a cross-sector meeting in June 2024. Professor Cheung Ching-lung noted that the expert group acknowledged the necessity of a three-pronged approach to successfully prevent osteoporosis:
1. Public Education: Educating the community, especially senior individuals, about fragility fractures and osteoporosis, including its implications, prevention, treatment and long-term care required for the disease.
2. Proactive Screening: Widely utilizing the COSA risk predication tool by incorporating COSA risk prediction tool as part of routine service in healthcare touchpoints such as elderly centers, district health centers and community pharmacists to identify high-risk individuals. High risk individuals can later on be referred for diagnosis with DXA scans. Utilize healthcare vouchers issued by the Department of Health for seniors can be used to as a co-payment DXA scans to encourage senior individuals to undergo osteoporosis screening.
3. Appropriate Treatment: Strengthening the roles of elderly centers, community health centers and pharmacies in ensuring a long-term care of osteoporosis elderlies. Enhance training for family doctors in managing osteoporosis, and establishing a “co-payment model” to reduce financial burden of patients to seek private healthcare services for timely treatment whilst preventing fragility fractures which subsequently resulting in broader financial and disability burden.
In response to World Osteoporosis Day on October 20, representatives from the HKSAR Government, healthcare community, and NGOs, along with nearly a hundred volunteers, gathered at Tuen Mun Ching Chung Koon to conduct a large-scale community screening today (October 6). This event screened over 1,020 local seniors aged 60 and above (symbolizing October 20) using COSA to raise community and citywide awareness of osteoporosis.
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About the Chinese Osteoporosis Screening Algorithm (COSA)
The Chinese Osteoporosis Screening Algorithm (COSA) is a risk prediction tool developed by The Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, specifically tailored for the Chinese population. Unlike previous risk prediction tools, such as FRAX and OSTA, which have demonstrated biases due to ethnic differences, COSA offers greater accuracy for Chinese demographics. This algorithm assesses an individual’s risk of developing osteoporosis by posing four straightforward questions related to gender, weight, age, and fracture history, achieving an accuracy rate between 74% and 94%.
