Clinical Features of COVID-19 Patients in the First Year of Pandemic: A Systematic Review and Meta-Analysis.

Background: The new coronavirus disease (COVID-19) carries a high risk of infection and has spread rapidly around the world. However, there are limited data about the clinical symptoms globally. The purpose of this systematic review and meta-analysis is to identify the prevalence of the clinical symptoms of patient with COVID-19.

Prevalence of Fatigue in Patients With Cancer: A Systematic Review and Meta-Analysis.

Context: Fatigue is a particularly common and troubling symptom that has a negative impact on quality of life throughout all phases of treatment and stages of the illness among patients with cancer.

Objectives: The objective of this meta-analysis is to examine the present status of fatigue prevalence in patients with cancer.

Methods: The following databases were searched: PubMed, MEDLINE, EMBASE, PsycINFO, Cochrane Library, from inception up to February 2020.

Discrete event simulation and pharmacy process re-engineering.

Purpose: The purpose of this paper is to describe a case study undertaken at Al Buraimi Hospital in Oman, which used computer simulation and the Delphi approach to improve efficiency by reducing prescription dispensing waiting times.

Design/methodology/approach: This study's framework was based on a discrete event simulation (DES) to identify the as-is pharmacy process and to create a to-be (future situation) to achieve an improvement in pharmacy workflow and service quality. Owing to healthcare environment complexity, and to gain a deeper understanding about Al Buraimi Hospital pharmacy problems, a Delphi technique was also used.