Imagine if one simple walking test could help doctors predict whether an older person might need extra care years down the road. That is exactly what researchers in Stockholm have been studying — and the results are encouraging.
A team at the Karolinska Institutet wanted to know whether complicated health assessments are actually better than simple ones at predicting problems like falls, hospital stays, or memory loss in older adults. So they compared seven different tools using data from 3,108 people aged 60 and older living in Sweden. The participants were followed for up to six years.
The findings, published in the journal BMC Medicine, showed that three tools performed best at predicting a wide range of health outcomes: the Health Assessment Tool (HAT), Intrinsic Capacity (IC), and the Frailty Index. What surprised researchers was that the simplest of the three — the Health Assessment Tool — worked just as well as more complex approaches.
HAT combines just a handful of measures that are fairly easy to collect in a doctor's office: how well someone can handle everyday activities like dressing or cooking, their thinking skills, walking speed, and how many chronic conditions they have. No expensive scans or lengthy questionnaires required.
"Our results show that tools that capture physical function, such as walking speed, are particularly important for predicting future health," said Ahmad Abbadi, a PhD student at Karolinska Institutet who led the study.
As populations around the world grow older, health systems face increasing pressure to identify people who might need extra support before problems become serious. The researchers say their findings suggest that relatively simple tools could help doctors spot at-risk patients earlier and make better decisions about their care.
The study also found that several tools currently recommended in medical guidelines did not perform as well as HAT, IC, or the Frailty Index for certain outcomes.
Senior author Amaia Calderón-Larrañaga, a senior researcher at Karolinska Institutet's Aging Research Center, said the results point toward a more practical future for geriatric care. "Our findings suggest that relatively simple tools that capture multiple dimensions of health can effectively identify older people at increased risk of future health decline," she said.
The researchers caution that their participants were, on average, healthier and more educated than the general older population, which might limit how well the results apply everywhere. Still, the message is hopeful: good health prediction does not have to mean complicated tests.