Objective: Estimate the cost of disease and falls among people with Parkinson's disease in Hong Kong.~Design: Prospective cost-of-illness analysis with one baseline assessment and two follow-up assessments after 6 and 12 months.~Participants: Community-dwelling participants with Parkinson's disease. Intervention: N/A. Outcome measures: Self-reported questionnaires and the Hospital Authority Clinical Management System will be used to inform the healthcare utilisation. We will also assess the number of falls, severity of Parkinson's disease, level of disability, balance, risk of falls, and quality of life. Predictors of cost include fall frequency, balance status, disease severity, level of disability, quality of life and disease duration.~Analysis: Cost-of-illness analysis will estimate the direct and indirect cost, using a prevalence-based approach, by converting physical units to monetary value based on unsubsidised charges for healthcare in Hong Kong published by the Hospital Authority for the year 2022. A multiple regression analysis will determine predictors influencing the overall cost. A two-way ANOVA will assess differences in healthcare costs among frequent, infrequent and non-fallers. Sensitivity analysis will include (1) tornado plots for studying the degree of impact of the cost variables on mean cost, (2) analysis after removing cost outliers and (3) varying the expenses on selected cost items by 25%.
The goal of this study is to estimate the cost of disease and falls among people with Parkinson's disease in Hong Kong . There will be no intervention delivered to the participants.~The healthcare cost of 12 months will be recorded using self-report and and the Hospital Authority Clinical Management System.