Connected diagnostics: Linking digital rapid diagnostic tests and mobile health wallets to diagnose and treat brucellosis in Samburu, Kenya

Smith, S., Koech, R., Nzorubara, D., Otieno, M., Wong, L., Bhat, G., van den Bogaart, E., Thuranira, M., Onchonga, D. and Rinke De Wit, T. F. (2019) Connected diagnostics: Linking digital rapid diagnostic tests and mobile health wallets to diagnose and treat brucellosis in Samburu, Kenya. BMC Medical Informatics and Decision Making, 19. ISSN 1472-6947

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Abstract

Background: Despite WHO guidelines for testing all suspected cases of malaria before initiating treatment, presumptive malaria treatment remains common practice among some clinicians and in certain low-resource settings the capacity for microscopic testing is limited. This can lead to misdiagnosis, resulting in increased morbidity due to lack of treatment for undetected conditions, increased healthcare costs, and potential for drug resistance. This is particularly an issue as multiple conditions share the similar etiologies to malaria, including brucellosis, a rare, under-detected zoonosis. Linking rapid diagnostic tests (RDTs) and digital test readers for the detection of febrile illnesses can mitigate this risk and improve case management of febrile illness. Methods: This technical advance study examines Connected Diagnostics, an approach that combines the use of point-of-care RDTs for malaria and brucellosis, digitally interpreted by a rapid diagnostic test reader (Deki Reader) and connected to mobile payment mechanisms to facilitate the diagnosis and treatment of febrile illness in nomadic populations in Samburu County, Kenya. Consenting febrile patients were tested with RDTs and patient diagnosis and risk information were uploaded to a cloud database via the Deki Reader. Patients with positive diagnoses were provided digital vouchers for transportation to the clinic and treatment via their health wallet on their mobile phones. Results: In total, 288 patients were tested during outreach visits, with 9% testing positive for brucellosis and 0.6% testing positive for malaria. All patients, regardless of diagnosis were provided with a mobile health wallet on their cellular phones to facilitate their transport to the clinic, and for patients testing positive for brucellosis or malaria, the wallet funded their treatment. The use of the Deki Reader in addition to quality diagnostics at point of care also facilitated geographic mapping of patient diagnoses in relation to key risk areas for brucellosis transmission. Conclusions: This study demonstrates that the Connected Dx approach can be effective even when addressing a remote, nomadic population and a rare disease, indicating that this approach to diagnosing, treatment, and payment for healthcare costs is feasible and can be scaled to address more prevalent diseases and conditions in more populous contexts.

Item Type: Article
Additional Information: Availability of data and materials: Due to privacy of patient data, datasets associated with this project are not publicly available. Anonymized data is available from the authors upon reasonable request.
Uncontrolled Keywords: brucellosis,diagnostics,malaria,mhealth,mobile health,mobile health wallet,health policy,health informatics,computer science applications ,/dk/atira/pure/subjectarea/asjc/2700/2719
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Depositing User: LivePure Connector
Date Deposited: 29 Sep 2025 14:30
Last Modified: 01 Oct 2025 08:29
URI: https://ueaeprints.uea.ac.uk/id/eprint/100521
DOI: 10.1186/s12911-019-0854-4

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