Frailty, dementia and complex multimorbidity are highly prevalent among residents of long-term care facilities (LTCFs). Prescribing for residents of LTCFs is often informed by disease-specific clinical practice guidelines based on research conducted among younger and more robust adults.
However, frailty and cognitive impairment may modify medication benefits and risks. Residents with frailty and advanced dementia may be at increased susceptibility to adverse drug events (ADEs) and often have a lower likelihood of achieving long-term therapeutic benefit from chronic preventative
medications. For this reason, there is a strong rationale for deprescribing, particularlyamong residents with high medication burdens, swallowing difficulties or limited dexterity. Conversely, frailty and dementia have also been associated with under-prescribing of clinically indicated
medications. Unnecessarily withholding treatment based on assumed risk may deprive vulnerable population groups from receiving evidence-based care. There is a need for specific evidence regarding medication benefits and risks in LTCF residents with frailty and dementia. Observational studies
conducted using routinely collected health data may complement evidence from randomized controlled trials that often exclude people living with dementia, frailty and in LTCFs. Balancing over- and under-prescribing requires consideration of each resident’s frailty and cognitive status,
therapeutic goals, time-to-benefit, potential ADEs, and individual values or preferences. Incorporating frailty screening into medication review may also provide better alignment of medication regimens to changing goals of care. Timely identification of frail residents as part of treatment
decision-making may assist with targeting interventions to minimize and monitor for ADEs. Shifting away from rigid application of conventional disease-specific clinical practice guidelines may provide an individualized and more holistic assessment of medication benefits and risks in the LTCF
setting.
Clinical application of a computerized system for physician order entry with clinical decision support to prevent adverse drug events in long-term care
