Classification of non-antineoplastic intravenously administered drugs according to their toxicity risk: the path towards safe drug administration.

Objective: Extravasation is a potential complication resulting from parenteral administration of drugs. The purpose of this study was to characterise the physicochemical properties of non-antineoplastic parenterally administered drugs and determine their potential to cause a toxic effect on tissue.

Methods: A list of drugs administered by intermittent or continuous intravenous (IV) infusion was prepared.

Specialized training in hospital pharmacy: an overview of the concerns, needs and current situation of resident tutors.

Objective: To provide new insight into the training needs and resources required by hospital pharmacy resident tutors in Spain, as well as  into their level of motivation and satisfaction with their teaching. Method: Google Forms® was used to design a survey addressed to hospital pharmacy resident tutors between January and March 2019. They survey consisted of generic (tutor, hospital, service) and specific  questions (available resources, teaching activities, teaching satisfaction,  training needs).

Risk of Venous Thromboembolism Associated With Tofacitinib and Baricitinib: A Systematic Review and Indirect Meta-Analysis.

To conduct a systematic review and meta-analysis investigating the effect of tofacitinib and baricitinib on venous thromboembolism (VTE) risk. Search of PubMed, EMBASE, Web of Science, Scopus, ClinicalTrials.gov, LILACS, and Google Scholar databases to identify controlled observational and clinical trials reporting on adverse effects in patients treated with oral tofacitinib or baricitinib up to July 2020.

Evaluation of specialized training in hospital pharmacy.

Objective: To analyze the degree of satisfaction of hospital pharmacy residents and identify areas of improvement in their training.

Method: A survey (5-point Likert scale) was administered among  fourthyear hospital pharmacy residents due to complete their residency  in 2018. Bivariate and multivariate logistic regression analyses was  performed to identify the association of each independent variable with  overall satisfaction.