Latent Class Analysis Identifies Four Distinct Patient Deprescribing Typologies Among Older Adults in Four Countries.

Background And Objectives: Polypharmacy, the concurrent use of multiple medicines, is a growing concern among older adults and those with chronic conditions. Deprescribing through dose reduction or discontinuing selected medicines is a strategy for reducing medicine-related harm. The Patient Deprescribing Typology was developed using qualitative methods to describe the varying factors that are important to older adults when they consider deprescribing.

The Effects of Presenting AI Uncertainty Information on Pharmacists' Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study.

Background: Dispensing errors significantly contribute to adverse drug events, resulting in substantial health care costs and patient harm. Automated pill verification technologies have been developed to aid pharmacists with medication dispensing. However, pharmacists' trust in such automated technologies remains unexplored.

Accelerated symptom improvement in Parkinson's disease via remote internet-based optimization of deep brain stimulation therapy: a randomized controlled multicenter trial.

Background: Deep brain stimulation (DBS) has emerged as an important therapeutic intervention for neurological and neuropsychiatric disorders. After initial programming, clinicians are tasked with fine-tuning DBS parameters through repeated in-person clinic visits. We aimed to evaluate whether DBS patients achieve clinical benefit more rapidly by incorporating remote internet-based adjustment (RIBA) of stimulation parameters into the continuum of care.