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Insight · 8 min read

The Impact of Falls on Length of Stay in Care Homes

New data from over 100 care homes reveals how falls are linked to recovery, increasing care needs, and residents leaving.

Esben Klint Thorius, CTO and Co-Founder

October 26, 2026

Repeat fallers are 2× more likely to leave within 6 months.

Residents with long lies are nearly 2× more likely to leave.

Residents with lasting decline after a fall need 11 extra minutes of care a day.

A fall can be a turning point in a resident's life. Some residents recover quickly, while others experience lasting declines in wellbeing, require more care, or ultimately leave the care home.

Understanding how residents' lives change after a fall is the first step toward better support. At Teton, we make the point of care machine-readable. Our technology continuously monitors residents' activity, wellbeing, and interactions with care staff, giving us a unique view into how care needs change over time. By analysing this data across more than 100 care homes, we can study what happens after a fall at a scale and level of detail that traditional care records alone cannot provide.

Our analysis reveals three important findings.

  • Repeat falls are strongly associated with residents leaving their care home. Within six months, 32% of residents who fell repeatedly left the care home, compared with 15% of residents who did not fall.
  • Long lies after a fall are linked to similarly poor outcomes. Residents who spent 30 minutes or more on the floor were nearly twice as likely to leave the care home as those who spent less time on the floor.
  • Falls can also mark the beginning of a lasting increase in care needs. Some residents need substantially more staff time and experience declines in wellbeing. Others recover to their previous levels.

Together, these findings show why understanding what happens after a fall is just as important as detecting the fall itself.

In this study, move-outs include the resident moving to another setting, recorded passings and departures with no recorded reason.

Are residents who keep falling more likely to move out?

Repeat fallers make up about 10% of residents, but they account for 79% of all falls.

Residents who fell repeatedly were more likely to move out of the care home than those who fell once. Among residents who had a second fall within two weeks, 32% moved out over the following six months. This compared with 18% of residents who fell once and 15% of residents who did not fall.

Residents moving out of the care home by fall history

Below, we compare residents who had no falls, one fall or repeated falls during a two-week period. All were still living in the care home at the end of those two weeks. We then tracked who moved out over the following six months.

Move-out probability (%)0–14: grouped by falls0%10%20%30%40%50%No fall: 15%One fall: 18%Repeat fall: 32%01490194Days since first fall or matched start

Hover or tap to see values. The grey window is days 0–14, when residents are grouped by how many times they fell. For residents who fell, day 0 is the first fall; for non-fallers, day 0 is a matched comparison date over the same window—they did not fall. Curves start at day 14. Bands around each line show uncertainty. Day 194 is 180 days after that grouping, roughly six months of follow-up. Move-outs include recorded passings and departures with no recorded reason.

Residents who spend longer on the floor face worse outcomes

Residents who spent 30 minutes or more on the floor after a fall were about twice as likely to move out as similar residents who spent less than 30 minutes on the floor.

By six months, 30% of residents with a long lie had moved out, compared with 16% of residents who spent less than 30 minutes on the floor. They were already spending more time in bed in the week before the fall. In the first two weeks after, they averaged about 38 minutes more a day than matched residents. They were also more likely to fall again within 14 days: 42% compared with 27% of residents who spent less than 30 minutes on the floor.

Across all our sites, Teton reduces long lies on the floor after a fall by 96%. We collect four weeks of baseline data after installation, before staff start using the system. This lets us compare outcomes before and after staff start using Teton.

More residents moved out after a long lie on the floor

We compared residents who spent 30 minutes or more on the floor after a fall with similar residents who spent less time there. We tracked who moved out of the care home over the next six months.

Move-out probability (%)0%10%20%30%40%50%Under 30 minutes: 16%Over 30 min: 30%090180Days since the fall

Hover or tap to see values. Shaded bands show uncertainty around each estimate. Move-outs include recorded passings and departures with no recorded reason.

How do care needs change after a fall?

After their first fall, residents needed more care, spent longer in bed and had lower wellness scores. The wellness score is a single measure of a resident's wellbeing, built from the data Teton collects (activity, gait, sleep, respiration and more) and grounded in clinical standards for health. In the measures we tracked, we did not see a clear decline before the fall.

This suggests a fall may be a turning point in a resident’s health, rather than simply a sign of decline already underway. Some residents recovered. Others had not returned to their previous level by three months.

On average, a first fall added about 1.5 hours of staff time in total, across the day of the fall and the two weeks after it, compared with non-fallers. Below, we show how daily staff time changed in the month before a first fall and the two weeks afterwards.

Staff time before and after a first fall

Residents who fellResidents who did not fall
Extra staff minutes per day-100102030Fall day+20 min-28014Days before / after the first fall

Hover, tap or use arrow keys to see values. Values show extra staff minutes per day compared with each resident’s baseline 60 to 30 days before the fall, adjusted for calendar effects. Shaded bands show uncertainty around the average. Day 0 is the first fall, or the comparison date for residents who did not fall.

For residents who later moved out, the rise was much steeper. In the two weeks after their fall, daily staff time rose from about 65 to 88 minutes. These residents spent about 1.2 more hours in bed each day, and their wellness score dropped by about 5 points.

An early decline did not always mean a resident would move out. Residents who later recovered showed similar increases in time in bed and declines in wellness score to those who moved out. But they needed only 7 extra minutes of staff care a day, compared with 23 minutes for those who moved out.

Changes in the first two weeks after a fall

We grouped residents by their later outcome and measured changes during days 1–14 after the fall. The table shows average changes compared with each resident's month before the fall. A plus sign means an increase; a minus sign means a decrease. Wellness score is shown as a change in score points, not a percentage. Lower scores indicate deterioration in this analysis. These group averages do not predict an individual resident's outcome.
OutcomeStaff timemin/dayIn bedh/dayWellness scorepoints
Later moved out+23+1.2-5
Declined, then recovered+7+1.6-6
Showed no visible change-2-0.30

For residents who fell and later moved out, the increase in care continued beyond the first two weeks. Over the rest of their stay, these residents needed around 21 extra hours of staff care compared with their usual care needs before the fall. Their remaining stay averaged about six weeks. Some residents stayed in the home but experienced a lasting decline. In the second and third months after their fall, they needed about 11 extra minutes of staff care a day compared with the month before the fall. They also spent longer in bed and had lower wellness scores.

Changes in months two and three after a fall

We measured changes during months two and three (days 31–90) for residents still in the home. A lasting decline means at least two of six measures worsened compared with the month before the fall. The table shows average changes compared with each resident's month before the fall. A plus sign means an increase; a minus sign means a decrease. Wellness score is shown as a change in score points, not a percentage. Lower scores indicate deterioration in this analysis. These group averages do not predict an individual resident's outcome.
OutcomeStaff timemin/dayIn bedh/dayWellness scorepoints
Stayed, with a lasting decline+11+2.3-7

Residents also remained at risk of another fall beyond the first two weeks. Among those who stayed in the home and had not fallen again during those two weeks, about 35% fell again before three months.

When are residents most likely to fall?

Residents are most likely to fall in the first weeks after moving in. In their first few days, new residents' fall rate was about twice what it became once they'd settled. Half of that extra risk had gone by about two weeks and most of it by four weeks, and the fall rate levelled off at around two months. About 20% of new residents fell within their first four weeks.

A fall soon after moving in was also more likely to be followed by another. About half of residents whose first fall came in their first week fell again within two weeks. That dropped to about a third for first falls in weeks two to four, a quarter between one and three months, and a tenth after that.

Clinical leads, including Kim Elliott, point to unfamiliar surroundings and changes in medication as possible reasons, though we didn't measure either as part of this study. Earlier studies have also found a higher fall risk after admission or a move.¹

Below, we show how residents' fall rate changed in the months after moving in. We grouped falls by week and measured the rate per 1,000 resident-days.

Fall rate in the first months after moving in

01020First week: 21.7Settled (day 90+): 10.5502890182Days since move-in

Hover, tap or use arrow keys to see values. The shaded band shows uncertainty around the estimates; the shaded block marks the first four weeks. The dashed line shows the same residents’ fall rate from day 90 onwards. In the first three days, the estimated rate was 22.3 falls per 1,000 resident-days, about twice the rate after residents had settled in.

Although residents were more likely to fall soon after moving in, these early falls were not clearly linked to leaving the care home. Within three months, 36% of residents who fell early had left, compared with 25% of those who had not fallen. Most of this difference reflected which home residents lived in. When we compared residents within the same home, the gap narrowed to about four extra departures per 100 residents. This difference was too small to draw a firm conclusion. Unlike repeated falls, an early fall after moving in was not a clear warning sign for leaving.

Below, we compare residents who fell in their first four weeks with those who did not. All were still living in the care home after those four weeks. We then tracked who moved out.

Move-outs among residents who fell soon after moving in

No early fallEarly fall
Move-out probability (%)0%20%40%60%36%25%50%44%2890180Days since move-in

Hover or tap to see values. We counted departures from day 28; the x-axis shows days since moving in. Shaded bands show uncertainty around estimates that do not account for differences between homes. We excluded rehabilitation and short-stay units. Move-outs include recorded passings and departures with no recorded reason.

What does this mean for care homes?

Our customer success team works with care-home leaders on three priorities:

  • Treat the two weeks after a first fall as a watch window. A second fall in that time was the clearest warning sign we found. Repeat fallers make up about 10% of residents but account for 79% of falls.
  • Don't stop watching after the first fortnight. About 35% of residents who got through the first two weeks without another fall still fell again before three months, and some declined slowly over months two and three.
  • Reduce long lies. Long lies are linked to worse outcomes after a fall. Fall detection technology can almost eliminate these.

August Health published a similar look at the 90 days that's worth a read. Teton integrates with August Health.

Common questions about falls and move-outs

Are residents who fall more likely to move out?
Yes, and repeat falls carry the clearest signal. Among residents who had a second fall within two weeks, 32% moved out over the following six months, compared with 18% of residents who fell once and 15% of residents who did not fall. These findings show associations, not cause and effect.
What should happen in the two weeks after a resident falls?
Treat the fortnight after a first fall as a watch window. A second fall in that time was the clearest warning sign we found, and repeat fallers make up about 10% of residents while accounting for 79% of falls. It is worth continuing past day 14, because about 35% of residents who got through the first two weeks without another fall still fell again before three months.
How much extra care does a resident need after a fall?
On average, a first fall added about 1.5 hours of staff time across the day of the fall and the two weeks after it. For residents who later moved out the rise was much steeper, with daily staff time going from about 65 to 88 minutes, and around 21 extra hours of staff care over the rest of their stay. Residents who recovered needed only 7 extra minutes a day.
What is a long lie, and why does it matter?
A long lie means spending 30 minutes or more on the floor after a fall. Residents with a long lie were about twice as likely to move out, 30% by six months compared with 16% of residents who spent less than 30 minutes on the floor. They were also more likely to fall again within 14 days, 42% compared with 27%.

Where does the data come from?

This analysis uses anonymised sensor and care records from more than 100 Teton-equipped care homes, collected between February 2025 and October 2026. We compared residents who fell with similar residents who hadn't. These non-fallers were matched on factors such as time in the home and pre-fall sleep and time in bed. We tracked how their care needs changed and whether they left.

The findings show associations, not cause and effect. Differences in residents' health and in how homes record departures may affect the results. For the new-resident analysis, we didn't have residents' age, diagnoses or care level, which limits how closely we could compare residents with different care needs. That analysis also looks at falls after moving in, not at whether falls affect how many people move into a home.

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