Literature DB >> 34348696

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

Shannen M C van Duijn1, Angela K Siteyi2, Sherzel Smith3, Emmanuel Milimo2, Leon Stijvers3, Monica Oguttu4, Michael O Amollo5, Edward O Okeyo2, Lilyana Dayo6, Titus Kwambai7, Dickens Onyango8, Tobias F Rinke de Wit3,9.   

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 < 0.05). Prescription of antimalarials was substantially aberrant from National Guidelines, with 28% over-prescription (4.6-63.3% per provider) and prescription of branded versus generic antimalarials differing amongst facilities and correlating with the socioeconomic status of clients. Challenges were encountered transitioning from microscopy to RDT.
CONCLUSION: We provide full proof-of-concept of innovative Connected Diagnostics to use digitized malaria diagnostics to earmark digital entitlements for correct malaria treatment of patients. This approach has large cost-saving and quality improvement potential.
© 2021. The Author(s).

Entities:  

Keywords:  Conditional payments; Connected diagnostics; Diagnosis; Kenya; Malaria; Treatment

Year:  2021        PMID: 34348696     DOI: 10.1186/s12911-021-01600-z

Source DB:  PubMed          Journal:  BMC Med Inform Decis Mak        ISSN: 1472-6947            Impact factor:   2.796


  3 in total

1.  A digital mobile health platform increasing efficiency and transparency towards universal health coverage in low- and middle-income countries.

Authors:  Liesbeth Huisman; Shannen Mc van Duijn; Nuno Silva; Rianne van Doeveren; Jacinta Michuki; Moses Kuria; David Otieno Okeyo; Isaiah Okoth; Nathalie Houben; Tobias F Rinke de Wit; Khama Rogo
Journal:  Digit Health       Date:  2022-04-11

Review 2.  Impact of Malaria Diagnostic Technologies on the Disease Burden in the Sub-Saharan Africa.

Authors:  Josephine Wambani; Patrick Okoth
Journal:  J Trop Med       Date:  2022-03-22

3.  Nucleic Acid Point-of-Care Testing to Improve Diagnostic Preparedness.

Authors:  Ilesh V Jani; Trevor F Peter
Journal:  Clin Infect Dis       Date:  2022-09-10       Impact factor: 20.999

  3 in total

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