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Older adults were among the most affected by the COVID-19 pandemic, which highlighted the need to accurately predict their risk of serious illness or death.

This thesis examined how well existing prediction models estimate the risk of death from COVID-19 in people aged 70 and above, across various healthcare settings such as hospitals, general practices, and nursing homes. The research evaluated several established prediction models using data from over 14,000 older adults in the Netherlands. It also investigated whether incorporating health factors specific to older adults, such as frailty or the presence of multiple medical conditions, could improve prediction accuracy.
The thesis shows that predicting outcomes in older adults with COVID-19 is challenging, and that existing tools may not be fully reliable for this population. Further research is needed to develop or refine models that better capture the complex health profiles of older individuals, supporting clinicians in making more informed decisions.