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The use of online Integrated Supportive Supervision (ISS) is aimed to improve the quality of services provided by front line health workers. This work is aimed to document the effects of ISS on the performance of health workers in Zambia using selected key surveillance and immunization process indicators. ISS data on WHO ODK server of all Integrated Supportive Supervisory (ISS) visits that were conducted in Zambia between 1 st January 2018 to 30 th September 2018 were analysed to determine the Percentage point difference between the first and the most recent ISS visits in order to determine whether an observed gap during first ISS visit had persisted during the most recent ISS visit. Our study demonstrated that ISS has remarkable percentage point increase between the first and the most recent ISS visits on availability of an updated monitoring chart, health workers knowledge of AFP case definition and AFP case files. However, there exist variations in the frequency of ISS visits across the provinces of the country. Future research effort should consider assessing the quality of the ISS data through periodic data validation missions.

Mobile phone data collection tools are increasingly becoming very usable collecting, collating and analysing data in the health sector. In this paper, we documented the experiences with mobile phone data collection, collation and analysis in 5 countries of the East and Southern African, using Open Data Kit (ODK), where questionnaires were designed and coded on an XML form, uploaded and data collected using Android-Based mobile phones, with a web-based system to monitor data in real-time during EPI comprehensive review. The ODK interface supports in real-time monitoring of the flow of data, detection of missing or incomplete data, coordinate location of all locations visited, embedded charts for basic analysis. It also minimized data quality errors at entry level with the use of validation codes and constraint developed into the checklist. These benefits, combined with the improvement that mobile phones offer over paper-based in terms of timeliness, data loss, collation, and real-time data collection, analysis and uploading difficulties, make mobile phone data collection a feasible method of data collection that needs to be further explored in the conduct of all surveys in the organization.