AI Article Synopsis

  • Demographic ageing is a success in health but presents significant policy challenges that require preparation of health systems and economies.
  • The Irish Future Older Adults Model (IFOAM) was created using a dataset from The Irish Longitudinal Study on Ageing (TILDA) to simulate health outcomes for people aged 50 and over in Ireland.
  • Projections from IFOAM show substantial increases in deaths, serious illnesses, and health care demand by 2040, primarily driven by the growing population of older individuals, highlighting the need for targeted policy responses.

Article Abstract

Demographic ageing is a population health success story but poses unprecedented policy challenges in the 21st century. Policymakers must prepare health systems, economies and societies for these challenges. Policy choices can be usefully informed by models that evaluate outcomes and trade-offs in advance under different scenarios. We developed a dynamic demographic-economic microsimulation model for the population aged 50 and over in Ireland: the Irish Future Older Adults Model (IFOAM).  Our principal dataset was The Irish Longitudinal Study on Ageing (TILDA). We employed first-order Markovian competing risks models to estimate transition probabilities of TILDA participants to different outcomes: diagnosis of serious diseases, functional limitations, risk-modifying behaviours, health care use and mortality. We combined transition probabilities with the characteristics of the stock population to estimate biennial changes in outcome state. IFOAM projections estimated large annual increases in total deaths, in the number of people living and dying with serious illness and functional impairment, and in demand for hospital care between 2018 and 2040.  The most important driver of these increases is the rising absolute number of older people in Ireland as the population ages. The increasing proportion of older old and oldest old citizens is projected to increase the average prevalence of chronic conditions and functional limitations. We deemed internal validity to be good but lacked external benchmarks for validation and corroboration of most outcomes. We have developed and validated a microsimulation model that projects health and related outcomes among older people in Ireland.  Future research should address identified policy questions. The model enhances the capacity of researchers and policymakers to quantitatively forecast health and economic dynamics among older people in Ireland, to evaluate ex ante policy responses to these dynamics, and to collaborate internationally on global challenges associated with demographic ageing.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554695PMC
http://dx.doi.org/10.12688/hrbopenres.13525.2DOI Listing

Publication Analysis

Top Keywords

older people
16
people ireland
12
microsimulation model
12
irish longitudinal
8
longitudinal study
8
study ageing
8
ageing tilda
8
demographic ageing
8
transition probabilities
8
functional limitations
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!