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Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app | Human Resources for Health | Full Text

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By Allan Saul, Omni Med Uganda
| Human Resources for Health Verified
James O’Donovan ORCID: orcid.org/0000-0002-7248-54361,2, Ken Kahn2, MacKenzie MacRae1,3, Allan Saul Namanda1, Rebecca Hamala1, Ken Kabali1, Anne Geniets2, Alice Lakati4, Simon M. Mbae5 & Niall Winters2 Human Resources for Health volume 20, Article number: 6 (2022) Cite this article Abstract Background Despite the growth in mobile technologies (mHealth) to support Community Health Worker (CHW) supervision, the nature of mHealth-facilitated supervision remains underexplored.
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