Learning from Rapid Evaluations of Digital Health Programs to Advance the Science of Sustainability, Spread, and Scale
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Abstract
Government decisions about what digital health care programs will be funded, for how much money, for how many years, and for what use cases, need to occur rapidly based on the best information available at the time. These decisions also need to align with government funding timelines and strategic priorities. This rapid decision-making process contrasts with the traditional research process where programs are piloted, and evidence is generated regarding the program’s effectiveness from multiple perspectives over several years ... [continues in PDF / HTML]
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How to Cite
Laur, C., Elma, A., Orecklin, P., Kishimoto, V., Koshy, M., Shuldiner, J., … Bhattacharyya, O. (2026). Learning from Rapid Evaluations of Digital Health Programs to Advance the Science of Sustainability, Spread, and Scale. Health Reform Observer – Observatoire des Réformes de Santé, 12(2). https://doi.org/10.13162/hro-ors.v12i2.6659
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Letters to the Editor/Commentaries
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