Disease burden, lifetime healthcare cost and long-term intervention impact projections among older adults in Singapore

Résumé fourni par la source

Singapore’s rapidly aging population and increasing healthcare demands highlight the need for projections to inform policy planning. Here we adapted a previously published dynamic Markov microsimulation model, the Future Elderly Model, to estimate disease trajectories and healthcare expenditure among adults aged 51 years and older in Singapore. The model simulated four long-term lifestyle interventions aligned with the Healthier SG program from 2020 to 2050. Our projections indicate an increasing prevalence of chronic conditions, comorbidities, obesity and disabilities, with ethnic differences. The projected lifetime healthcare expenditure is the highest among Indians (US $93,900; 95% credible interval (CI), US $68,900–119,000), followed by the Chinese (US $75,700; 95% CI, US $57,600–93,800) and Malays (US $70,000; 95% CI, US $52,000–88,000). Despite having a higher chronic disease burden, Malays are expected to incur lower lifetime expenditure due to their shorter life expectancy. Implementing all 4 interventions could save US $505 million (95% CI, US $462–547 million) in healthcare use by 2050. Sustained lifestyle interventions may moderate the increase in future burdens. Policy strategies should prioritize preventive care tailored to the specific needs of diverse population subgroups. Population aging presents challenges for healthcare and social care systems in ensuring that services are available for older adults. Here the authors performed a Singapore-based simulation study that projects rising chronic disease prevalence and healthcare costs, showing that long-term lifestyle interventions can moderate the increase in future diseases and healthcare spending by 2050.

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