Background: Abiraterone and enzalutamide are widely used as first-line treatment for metastatic castration-resistant prostate cancer (mCRPC); however, their efficacy in mCRPC has been inconsistently demonstrated in other outcome studies from real-world databases. The aim of our study was to assess the comparative effectiveness of abiraterone and enzalutamide in patients with mCRPC using real-world data from Taiwan.
Methods: This retrospective cohort population-based study included patients identified in the Taiwan National Health Insurance Research Database who had been diagnosed with mCRPC and who had taken abiraterone or enzalutamide between December 2014 and August 2017.
In this descriptive, retrospective study, we analyzed the types of questions posed by healthcare professionals to drug counselors at a medical center and the types of provision of pharmaceutical advice solicited to improve pharmaceutical care quality and establish clear directions for clinical pharmacist training. We collected 8,558 questions posed by healthcare professionals (physicians, 38%; pharmacists, 39%; nurses, 23%) from the electronic drug information record system from May 2013 to April 2015 in one medical center. Overall, 52% and 45% of calls came from outpatient and inpatient departments, respectively.
View Article and Find Full Text PDFWe selected iOS in this study as the App operation system, Objective-C as the programming language, and Oracle as the database to develop an App to inspect controlled substances in patient care units. Using a web-enabled smartphone, pharmacist inspection can be performed on site and the inspection result can be directly recorded into HIS through the Internet, so human error of data translation can be minimized and the work efficiency and data processing can be improved. This system not only is fast and convenient compared to the conventional paperwork, but also provides data security and accuracy.
View Article and Find Full Text PDFWe selected HTML, PHP and JavaScript as the programming languages to build "WebBio", a web-based system for patient data of biological products and used MySQL as database. WebBio is based on the PHP-MySQL suite and is run by Apache server on Linux machine. WebBio provides the functions of data management, searching function and data analysis for 20 kinds of biological products (plasma expanders, human immunoglobulin and hematological products).
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