Validation and standardisation of PRO Measures; clinical application of HRQOL outcome measures; HRQOL of patients with chronic diseases, measurement of health preference (utility); and application of HRQOL outcomes in cost-effectiveness analysis.
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Undergraduate and postgraduate medical education research taking a combined qualitative and quantitative approach with specific interests in the following areas:
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Evaluation of outcomes and quality of care of primary care through big data analysis and measurement of PRO; effectiveness and cost-effectiveness of new models of chronic disease care, diagnosis and management of common health problems; use of antibiotics; health equity and health for marginalised groups; infectious diseases in primary care; sexual health and HIV; and, impact of COVID-19 on primary care services.
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Epidemiology, diagnosis and management of common mental health problems; and evaluation of mental health services.
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Observational and genetic epidemiology; trajectory patterns on clinical, treatment and complication profiles among patients; NCD burden on local health service utilisation and health policy; service delivery models for NCD prevention and treatment, risk prediction models for NCD service utilisation and health outcomes (e.g. cardiovascular disease) using big data analysis.
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Find Out More
Information on selected projects or research areas: Interested candidates are advised to email the relevant supervisors. Please enclose with your email: (i) your CV, (ii) a brief description of your research interest and experience, and (iii) two reference letters (reference letters not required for HKUMed UG students seeking MRes[Med] or URIS projects)
Research studies enquiries specific to the Department/School’s research should be directed to the Departmental Research Postgraduate Advisor: Professor TP Lam ( tplam@hku.hk)
Information on the research programme, funding support and admission requirements could be found on the RPg Admissions website.
General admission enquiries should be directed to rpgmed@hku.hk.
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