Background: The management of psychotropic medication in older adults is a challenge for every healthcare professional, but data concerning community pharmacists are scarce in the literature.
Aim: Our objectives were i) to understand the difficulties encountered by community pharmacists in managing older adults on psychotropic medication, and ii) to identify potential solutions to the difficulties discussed.
Method: A qualitative study by focus group was proposed to all community pharmacists in the vicinity of the university hospital of Angers, France, between May and June 2023.
Objectives: Some drugs increase the risk of falls, including serious falls. The objective of this quasi-experimental study was to determine whether the intervention of a clinical pharmacist among older outpatients receiving a multifactorial fall prevention program at a geriatric day hospital dedicated to older patients with a recent history of falls was effective in preventing serious falls over a 3-month follow-up, compared with usual care.
Study Design: Quasi-experimental study in 296 consecutive older outpatients, including 85 with pharmacist intervention (the intervention group) and 148 without (the control group).
Objective: To systematically review and quantitatively synthetize evidence on the use of PIPs linked to adverse health outcomes in older adults.
Methods: A Medline, Embase® and Opengrey libraries search was conducted from 2004 to February 2021, using the PICO model: older people, psychotropic drugs, inappropriate prescribing, and adverse drug events. Fixed-effects and random-effects meta-analysis were performed from 3 eligible studies using an inverse-variance method.
Unintentional medication discrepancies at admission are differences between the best possible medication history and the prescribed treatment at admission, and are associated with adverse outcomes, particularly in older people. This study aimed to identify the clinical profiles of geriatric inpatients with unintentional medication discrepancies at hospital admission. A classification tree Chi-square Automatic Interaction Detector (CHAID) analysis was conducted to assess those patients' profiles and characteristics that were associated with a higher risk of unintentional medication discrepancies.
View Article and Find Full Text PDF