Tackling potentially inappropriate prescriptions in older adults: development of deprescribing criteria by consensus from experts in Colombia, Argentina, and Spain.

Background: Potentially inappropriate medication use is prevalent among older adults in primary care, leading to increased morbidity, adverse drug reactions, hospitalizations, and mortality. This study aimed to develop and validate a tool for identifying PIMs in older adults within the primary care setting. The tool is composed of a list of criteria and was created based on consensus among experts from three Spanish-speaking countries, including two from Latin America.

From private incentives to public health need: rethinking research and development for pandemic preparedness.

Pandemic preparedness and response have relied primarily on market dynamics to drive development and availability of new health products. Building on calls for transformation, we propose a new value proposition that instead prioritises equity from the research and development (R&D) stage and that strengthens capacity to control outbreaks when and where they occur. Key elements include regional R&D hubs free to adapt well established technology platforms, and independent clinical trials networks working with researchers, regulators, and health authorities to better study questions of comparative benefit and real-world efficacy.

Development of a stepwise tool to aide primary health care professionals in the process of deprescribing in older persons.

Objective: The aim of this study was to develop and validate a stepwise tool to aid primary health care professionals in the process of deprescribing potentially inappropriate medication in older persons.

Methods: We carried out a systematic review to identify previously published tools. A composite proposal of algorithm was made by following the steps from clinical experience to deprescribe medications.

Algorithm for the evaluation of therapeutic failure reports--proposal and pilot analysis.

Purpose: To propose and validate an algorithm to analyze the reports of suspected therapeutic failure (TF) received in pharmacovigilance programs.

Methods: A Delphi consensus method with a group of 12 international experts was used to identify the different causes that prompt TF and to propose an algorithm to analyze reports of suspected lack of efficacy of medicines. A pilot analysis of 50 reports was the basis to evaluate the interrater and intrarater validity of the algorithm.