Implementing automated subject selection methodology in an epidemiological survey using open source application, Open Data Kit (ODK) (Preprint)

BACKGROUND Data collection in field-based public health research influences the quality and outcome of the research which in turn aids in developing evidence-based policymaking. As conventional data collection methods are either consume more time or more resources, usage of the cost-effective technology solution is required. Open Data Kit (ODK), the open-source application being designed for an Android-based platform is one such solution to electronic data collection. OBJECTIVE To demonstrate the functionality of ODK in implementing subject selection algorithm Kish methodology in epidemiological research studies METHODS Subject selection algorithms in field-based surveys are done manually and one such algorithm is Kish algorithm. Incorporating subject selection algorithm electronically in ODK application was not either tested or reported in the literature. We developed an application framework to build-in Kish grid algorithm in ODK application RESULTS The process and steps for setting up subject selection Kish algorithm to embed in ODK application are explained with syntax function. The application displayed the selected eligible adult on the screen after it runs the syntax function based on the Kish algorithm in the backend CONCLUSIONS ODK is an enterprise architecture, which is identified to develop a mobile application for a community based public health survey. The application would reduce the time taken for selecting and completing the interview of study participants. Ever a minor change like spell check on form mandates complete XML generation in ODK application and requires to update the existing entire application