Defaulter tracing systems are patient centred information systems which are used to enhance monitoring of patients who have dropped out of health programs. The aim of this study is to explore the operation of defaulter tracing systems in practice. The study has been undertaken in Tanzanian health facilities by using qualitative data collection methods. Activity theory is employed as a conceptual framework to analyze the findings. Findings show that the implementation of defaulter tracing system is challenged by issues of the existing information systems, such as absence of clear guidelines and tools, and information recording incompleteness, as well as contextual issues. The paper contributes to Healthcare Information System literature (HIS) which has elaborated how patient centred information systems are utilized in practice at the level of primary health care. This study concludes by providing implications for policy, practice, design and implementation.

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People with mobility impairment must travel through cities with extra care. An intelligent database of Maps for Easy Paths (MEP) project for storing and retrieving accessibility information about a particular path by using PostGIS may enable the public to enjoy the privilege of the technology that alleviates the problem of city accessibility through the Web or, more recently, through smartphones/tablet applications. The methods and techniques for intelligent database to storeand retrieve accessibility information by using a relational intelligent PostGIS database are described. The conceptual data model is designed for an intelligent database (PostGIS). Users will be able to actively participate in the process of taking pictures of obstacles, uploading them to the MEP server and giving some comments on the attributes of the picture of the barrier. The resulting data will help others to locate and evaluate paths. This paper presents the conceptual data model design as well as a review of features of the data of the existing systems. Therefore, the novelty of this approach lies in developing an intelligent database for the enrichment of geographical maps with information about the accessibility of urban pedestrian areas for people with mobility problems.