Improving transparency in malaria programme funds: A business case for connected diagnostics in Kenya.

Autor:	Dieteren CM; PharmAccess Foundation, Amsterdam, the Netherlands.; Amsterdam Institute for Global Health and Development (AIGHD), Amsterdam, the Netherlands., Milimo E; PharmAccess Foundation, Nairobi, Kenya., Siteyi A; PharmAccess Foundation, Nairobi, Kenya., van Duijn S; PharmAccess Foundation, Amsterdam, the Netherlands., Stijvers L; PharmAccess Foundation, Amsterdam, the Netherlands., Dayo L; Kisumu County Department of Health, Kisumu, Kenya., Ganda G; Kisumu County Department of Health, Kisumu, Kenya., de Wit TFR; PharmAccess Foundation, Amsterdam, the Netherlands.; Amsterdam Institute for Global Health and Development (AIGHD), Amsterdam, the Netherlands.
Jazyk:	angličtina
Zdroj:	Journal of public health in Africa [J Public Health Afr] 2024 Nov 29; Vol. 15 (1), pp. 653. Date of Electronic Publication: 2024 Nov 29 (Print Publication: 2024).
DOI:	10.4102/jphia.v15i1.653
Abstrakt:	Background: International vertical health financing programmes risk functioning in parallel with existing domestic funding in low- and middle-income countries (LMICs), leading to inefficient service delivery and concomitant poor health outcomes. Aim: We assessed the opportunities offered by digitalised diagnostics (ConnDx) to target and monitor health funds to those in need objectively and transparently. Setting: ConnDx was rolled out in five private health facilities in Kisumu, Kenya. Methods: The ConnDx process was codeveloped with the local Department of Health of Kisumu. We used the quantitative data generated by ConnDx. We also calculated the costs for ConnDx and standard care to assess potential cost reductions. Results: In total, 2199 malaria cases were detected among 11 689 patients with fever. ConnDx allowed for the identification of malaria hotspots, semi-real-time assessment of patient health seeking behaviour across facilities and insights in doctor's prescription behaviours. Based on these insights, we estimated a 25% reduction in costs can be realised, while simultaneously better quality indicators can be monitored. Conclusion: The concept of ConnDx can be used for any medical condition that can be diagnosed in a digital manner and linked to mobile payment systems. The generated data can contribute to better quality services for individual patients while at the same time support local health policy makers and managers for more targeted interventions. Contribution: The ConnDx approach can help decision makers in LMICs to channel disease-specific funds to the right patients for the right disease at the right time, which can potentially accelerate the way to universal health coverage. Competing Interests: The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article. The author, T.F.R.d.W., serves as an editorial board member of this journal. The peer review process for this submission was handled independently, and the author had no involvement in the editorial decisionmaking process for this manuscript. The authors have no other competing interests to declare. (© 2024. The Authors.)
Databáze:	MEDLINE
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