Connected diagnostics to improve accurate diagnosis, treatment, and conditional payment of malaria services in Kenya

Autor: Shannen M. C. van Duijn, Angela K. Siteyi, Sherzel Smith, Emmanuel Milimo, Leon Stijvers, Monica Oguttu, Michael O. Amollo, Edward O. Okeyo, Lilyana Dayo, Titus Kwambai, Dickens Onyango, Tobias F. Rinke de Wit
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-12 (2021)
Druh dokumentu: article
ISSN: 1472-6947
DOI: 10.1186/s12911-021-01600-z
Popis: Abstract Background In sub-Saharan Africa, the material and human capacity to diagnose patients reporting with fever to healthcare providers is largely insufficient. Febrile patients are typically treated presumptively with antimalarials and/or antibiotics. Such over-prescription can lead to drug resistance and involves unnecessary costs to the health system. International funding for malaria is currently not sufficient to control malaria. Transition to domestic funding is challenged by UHC efforts and recent COVID-19 outbreak. Herewith we present a digital approach to improve efficiencies in diagnosis and treatment of malaria in endemic Kisumu, Kenya: Connected Diagnostics. The objective of this study is to evaluate the feasibility, user experience and clinical performance of this approach in Kisumu. Methods Our intervention was performed Oct 2017–Dec 2018 across five private providers in Kisumu. Patients were enrolled on M-TIBA platform, diagnostic test results digitized, and only positive patients were digitally entitled to malaria treatment. Data on socio-demographics, healthcare transactions and medical outcomes were analysed using standard descriptive quantitative statistics. Provider perspectives were gathered by 19 semi-structured interviews. Results In total 11,689 febrile patients were digitally tested through five private providers. Malaria positivity ranged from 7.4 to 30.2% between providers, significantly more amongst the poor (p
Databáze: Directory of Open Access Journals
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