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

Conditional payments Connected diagnostics Diagnosis Kenya Malaria Treatment

Journal

BMC medical informatics and decision making
ISSN: 1472-6947
Titre abrégé: BMC Med Inform Decis Mak
Pays: England
ID NLM: 101088682

Informations de publication

Date de publication:
04 08 2021
Historique:
received: 18 06 2020
accepted: 29 07 2021
entrez: 5 8 2021
pubmed: 6 8 2021
medline: 10 8 2021
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 34348696
doi: 10.1186/s12911-021-01600-z
pii: 10.1186/s12911-021-01600-z
pmc: PMC8335459
doi:

Substances chimiques

Antimalarials 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

233

Informations de copyright

© 2021. The Author(s).

Références

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Auteurs

Shannen M C van Duijn (SMC)

PharmAccess Foundation, Amsterdam, The Netherlands. s.vanduijn@pharmaccess.org.

Angela K Siteyi (AK)

PharmAccess Foundation, Nairobi, Kenya.

Sherzel Smith (S)

PharmAccess Foundation, Amsterdam, The Netherlands.

Emmanuel Milimo (E)

PharmAccess Foundation, Nairobi, Kenya.

Leon Stijvers (L)

PharmAccess Foundation, Amsterdam, The Netherlands.

Monica Oguttu (M)

Kisumu Medical and Education Trust (KMET), Kisumu, Kenya.

Michael O Amollo (MO)

Nightingale Hospital, Kisumu, Kenya.

Edward O Okeyo (EO)

PharmAccess Foundation, Nairobi, Kenya.

Lilyana Dayo (L)

Malaria Control Program Coordinator-Kisumu County - Ministry of Health, Kisumu, Kenya.

Titus Kwambai (T)

Kenyan Medical Research Institute (KEMRI), Kisumu, Kenya.

Dickens Onyango (D)

County Department of Health, Kisumu, Kisumu County, Kenya.

Tobias F Rinke de Wit (TF)

PharmAccess Foundation, Amsterdam, The Netherlands.
Joep Lange Institute, Amsterdam, The Netherlands.

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