Connected diagnostics to improve accurate diagnosis, treatment, and conditional payment of malaria services in Kenya
| Autor: | Edward O. Okeyo, Leon Stijvers, Dickens Onyango, Titus K. Kwambai, Monica Oguttu, Emmanuel Milimo, Shannen van Duijn, Lilyana Dayo, Angela K. Siteyi, Tobias F. Rinke de Wit, Michael O. Amollo, Sherzel Smith |
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| Přispěvatelé: | Global Health, AII - Infectious diseases, APH - Personalized Medicine, APH - Quality of Care |
| Rok vydání: | 2021 |
| Předmět: |
Quality management
media_common.quotation_subject Computer applications to medicine. Medical informatics 030231 tropical medicine R858-859.7 Health Informatics Drug resistance Health informatics Antimalarials 03 medical and health sciences 0302 clinical medicine Diagnosis parasitic diseases Health care Connected diagnostics medicine Humans 030212 general & internal medicine Medical prescription Socioeconomic status media_common SARS-CoV-2 business.industry Health Policy COVID-19 Conditional payments Payment medicine.disease Kenya Malaria Computer Science Applications Treatment Medical emergency business Research Article |
| Zdroj: | BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-12 (2021) BMC Medical Informatics and Decision Making BMC medical informatics and decision making, 21(1):233. BioMed Central |
| ISSN: | 1472-6947 |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
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