OppiaMobile is a mobile learning platform for delivering learning content, video and quizzes. All the content and activities can be accessed and used even when no internet connection is available. W...hen a connection becomes available, tracking and quiz scores are sent back to the server for tutors, teachers and trainers to track the progress of their learners. Learners earn points and badges for completing activities and modules
you can install following modules: Antenatal Care; Postnatal Care; Labour and Delivery Care; Nutrition; IMNCI
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Our OppiaMobile learning platform offers a wide variety of courses on primary health care to enhance the training of health workers worldwide.
These mobile-ready content includes quiz questions, ...and features video content from Medical Aid Films, Global Health Media Project, and other contributors. It provides a source of information that can be used for both pre-service and in-service training and to reinforce critical health messages, so that health workers feel confident and empowered to deliver effective services in their communities.
Content adaptation is an iterative process, and Digital Campus will continue to improve its content with additional media and quizzes. All courses are created in Moodle, an open source learning platform used by millions of educators and learners in over 200 countries.
You can find courses for : Antenatal Care ; Postnatal Care; Labor and Delivery Care, Open WASH Courses....
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Human Resources for Health201816:49; https://doi.org/10.1186/s12960-018-0315-7
The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—inclu...ding government stakeholders, technologists, clinicians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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