2018
DOI: 10.17157/mat.5.2.537
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Donor data vacuuming

Abstract: In this essay, we seek to understand how the stunning rise of data vacuuming, necessitated by the pretense of 'partnership' within global health, has fundamentally altered how routine health data in poor countries is collected, analyzed, prioritized, and used to inform management and policy. Writing as a team of authors with experiences on multiple sides of global health partnerships in the United States, Mozambique, Nepal, Lesotho, Kenya, and Cote d'Ivoire, we argue that solidarity-based partnership between d… Show more

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Cited by 21 publications
(5 citation statements)
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“…Thus the initial work of SAIA often addresses the perennial challenge of data use by frontline service providers for decision-making. (31) Conclusions SAIA represents a promising approach to harness systems-level knowledge of service providers and managers at the frontline of care, both in clinical and community settings. In order to ensure its successful and accurate translation to other clinical areas and geographic regions, the authors have detailed its core components and implementation strategies, through use of established speci cation approaches.…”
Section: Discussionmentioning
confidence: 99%
“…Thus the initial work of SAIA often addresses the perennial challenge of data use by frontline service providers for decision-making. (31) Conclusions SAIA represents a promising approach to harness systems-level knowledge of service providers and managers at the frontline of care, both in clinical and community settings. In order to ensure its successful and accurate translation to other clinical areas and geographic regions, the authors have detailed its core components and implementation strategies, through use of established speci cation approaches.…”
Section: Discussionmentioning
confidence: 99%
“…By harnessing the availability and power of mobile phones, frontline health workers were able to immediately, directly, and tangibly use their clinical documentation and routinely reported data to inform improvements to their own practice and workflow in their health facility. It is not uncommon in SSA, where there is a critical health workforce shortage [49], for health workers to dedicate significant time on data collection, entry, and reporting without active engagement in data use [50,51]. In addition, few mHealth technologies currently exist to support health workers’ use of data to inform decision making about HIV services [52].…”
Section: Discussionmentioning
confidence: 99%
“…First, we relied on modelled tobacco-attributable mortality and morbidity estimates from the GBD. While not without criticism, [26][27][28] GBD remains the foremost modelling effort seeking to estimate the global burden caused by diseases and risk factors. Still, future national-level analyses would benefit from health surveillance system data tracked, reported and owned by national institutions.…”
Section: Limitationsmentioning
confidence: 99%