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Sangoshthi: Empowering Community Health Workers through Peer Learning in Rural India

Published: 03 April 2017 Publication History
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  • Abstract

    The Healthcare system of India provides outreach services to the rural population with a key focus on the maternal and child health through its flagship program of Community Health Workers (CHWs). The program since its launch has reached a scale of over 900000 health workers across the country and observed significant benefits on the health indicators. However, traditional face to face training mechanisms face persistent challenge in providing adequate training and capacity building opportunities to CHWs which leads to their sub-optimal knowledge and skill sets. In this paper, we propose Sangoshthi, a low-cost mobile based training and learning platform that fits well into the environment of low-Internet access. Sangoshthi leverages the architecture that combines Internet and IVR technology to host real time training sessions with the CHWs having access to basic phones only. We present our findings of a four week long field deployment with 40 CHWs using both qualitative and quantitative methods. Sangoshthi offers a lively environment of peer learning that was well received by the CHW community and resulted into their knowledge gains (16%) and increased confidence levels to handle the cases. Our study highlights the potential of complementary training platforms that can empower CHWs in-situ without the need of additional infrastructure.

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    Published In

    cover image ACM Other conferences
    WWW '17: Proceedings of the 26th International Conference on World Wide Web
    April 2017
    1678 pages
    ISBN:9781450349130

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    • IW3C2: International World Wide Web Conference Committee

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    International World Wide Web Conferences Steering Committee

    Republic and Canton of Geneva, Switzerland

    Publication History

    Published: 03 April 2017

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    Author Tags

    1. chw
    2. ict4d
    3. ivr
    4. mhealth
    5. mlearning
    6. peer learning

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    • Research-article

    Funding Sources

    • ITRA
    • Visvesvarya Young Faculty Fellowship

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    WWW '17
    Sponsor:
    • IW3C2

    Acceptance Rates

    WWW '17 Paper Acceptance Rate 164 of 966 submissions, 17%;
    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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