Abstract
Objective: Falling is common among older adults in residential aged care facilities (RACFs) and potential inappropriate psychotropic medicines (PIPMs) use may increase the risk of falling. This study aimed to determine the impact of PIPMs on falls using longitudinal observational data.
Methods: A retrospective longitudinal cohort study was conducted using routinely collected electronic health data from 23 RACFs in Sydney, New South Wales, Australia. The study included 3064 permanent residents aged ≥65 (2020–2021). PIPMs were identified using updated Beers criteria 2023. We considered three fall outcome groups: all falls, injurious falls and falls requiring hospitalisation. The falls incidence rates (IRs) were calculated for overall residents in RACFs as well as for central nervous system (CNS)-PIPM users and non-users. We applied a zero-inflated negative binomial regression model to assess the association between falls and CNS-PIPMs.
Results: A total of 40% (n=1224) of long-term care residents used at least one CNS-PIPM and 10% of residents (n=302) used two or more. The falls IRs of CNS-PIPM users were 16.2 falls per 1000 resident days (95% CI 15.9 to 16.5) for all falls, 5.68 falls per 1000 resident days (95% CI 5.48 to 5.88) for injurious falls and 1.77 falls per 1000 resident days (95% CI 1.66 to 1.88) for falls requiring hospitalisation, whereas the falls IRs of non-CNS-PIPM users were 10.8 falls per 1000 resident days (95% CI 10.6 to 11.0) for all falls, 3.65 falls per 1000 resident days (95% CI 3.52 to 3.78) for injurious falls and 1.26 falls per 1000 resident days (95% CI 1.19 to 1.33) for falls requiring hospitalisation. CNS-PIPM users had a significantly greater rate of falls overall compared with non-users (IRR 1.29; 95% CI 1.16 to 1.44) for all outcomes.
Conclusions: Falls are frequent among CNS-PIPM users resulting in injury and hospitalisation, with 70% of CNS-PIPM users falling at least once and one in three requiring admissions to hospital. Reviewing residents’ use of psychotropic medicines should be considered as part of strategies to reduce falls incidence among older adults in RACFs.
Methods: A retrospective longitudinal cohort study was conducted using routinely collected electronic health data from 23 RACFs in Sydney, New South Wales, Australia. The study included 3064 permanent residents aged ≥65 (2020–2021). PIPMs were identified using updated Beers criteria 2023. We considered three fall outcome groups: all falls, injurious falls and falls requiring hospitalisation. The falls incidence rates (IRs) were calculated for overall residents in RACFs as well as for central nervous system (CNS)-PIPM users and non-users. We applied a zero-inflated negative binomial regression model to assess the association between falls and CNS-PIPMs.
Results: A total of 40% (n=1224) of long-term care residents used at least one CNS-PIPM and 10% of residents (n=302) used two or more. The falls IRs of CNS-PIPM users were 16.2 falls per 1000 resident days (95% CI 15.9 to 16.5) for all falls, 5.68 falls per 1000 resident days (95% CI 5.48 to 5.88) for injurious falls and 1.77 falls per 1000 resident days (95% CI 1.66 to 1.88) for falls requiring hospitalisation, whereas the falls IRs of non-CNS-PIPM users were 10.8 falls per 1000 resident days (95% CI 10.6 to 11.0) for all falls, 3.65 falls per 1000 resident days (95% CI 3.52 to 3.78) for injurious falls and 1.26 falls per 1000 resident days (95% CI 1.19 to 1.33) for falls requiring hospitalisation. CNS-PIPM users had a significantly greater rate of falls overall compared with non-users (IRR 1.29; 95% CI 1.16 to 1.44) for all outcomes.
Conclusions: Falls are frequent among CNS-PIPM users resulting in injury and hospitalisation, with 70% of CNS-PIPM users falling at least once and one in three requiring admissions to hospital. Reviewing residents’ use of psychotropic medicines should be considered as part of strategies to reduce falls incidence among older adults in RACFs.
| Original language | English |
|---|---|
| Article number | e096187 |
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | BMJ Open |
| Volume | 15 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 9 Apr 2025 |