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From proxy-indicators to connecting disparate evidence: a multilevel-toolkit for evaluating the impact of digital health implementations on health outcomes

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Defense Thèse de doctorat : Univ. Genève, 2020 - Sc. Bioméd. - S. Glob. 4 - 2020/01/30
Abstract Digital Health is a multi-disciplinary science connecting medicine, technology, and implementation science. A growing evidence base highlights increasing recognition for its potential to strengthen overall health system performance. However, historically, the majority of evidence focuses on improvements of care processes rather than health outcomes. This thesis investigated aspects of evaluating health outcomes of digital health on different levels and proposes approaches to overcome some of the associated challenges. First, on micro level, what to measure by identifying meaningful proxy-indicators for maternal/neonatal outcomes. Second, on meso level, understanding how researchers approach digital health impact evaluations and providing a pedagogical overview on methods. Finally, on macro level, an approach to connecting disparate knowledge, experience, and evidence. Together, these articles provide a multi-level toolkit for evaluating and aggregating outcomes of digital health interventions to establish a comprehensive picture of the digital health landscape and increase the understanding for determinants influencing success and failure.
Keywords Digital healtheHealthImpactKnowledge management
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URN: urn:nbn:ch:unige-1362249
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Thesis (15.7 MB) - public document Free access
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Research group Groupe Geissbuhler Antoine (informatique médicale) (222)
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PERRIN FRANCK, Caroline. From proxy-indicators to connecting disparate evidence: a multilevel-toolkit for evaluating the impact of digital health implementations on health outcomes. Université de Genève. Thèse, 2020. doi: 10.13097/archive-ouverte/unige:136224 https://archive-ouverte.unige.ch/unige:136224

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Deposited on : 2020-05-27

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