A Mobile phone solution for systematically identifying and reporting nonstandardised medicinal drugs in Nairobi, Kenya
Effective observation and reporting of uncertified/counterfeit drug items demands timely identification and dissemination of information to parties’ responsible for consumption,prevention, distribution and control of drugs to warrant necessary action in case of a flaw. Tools used to identify and report existence of such drug items determine the level of efficiency and effectiveness of the exercise. Traditional paper based and rigid computer based reporting procedures compromise on completeness, timeliness and correctness of data. This scenario creates unprecedented opportunities that researchers can use to improve the current way of identifying and reporting counterfeit drugs. This dissertation gives an analysis of the distribution and effects of counterfeit drugs to the human population in Kenya and internationally with focus on emerging markets. A comprehensive investigation of mobile scanning techniques and existing technologies used to track drug items is also covered. Data collection instruments used were through holding interviews and observations. Both qualitative and quantitative methods of data analysis were employed. Results of the data analysis aided to inform system requirements and design of the application. SCRUM, an agile methodology was adopted as the software methodology for development of the application. PEPELEZI DAWA, a mobile application was developed as a tool to offer an interactive menu where users can scan medication and report counterfeit drug items using their mobile devices. A web application was also developed to provide a portal for authorized personnel, registered under local drug quality control organisations to; manage users,view and edit stored records of drug items and view reports posted by users. System testing was done to ensure usability, reliability, completeness and correctness of both developed applications.