ePOCT+ Rwanda: A Clinical Decision Support Algorithm For Managing Sick Children Below 15 Years of Age in Primary Healthcare Settings
Uloženo v:
| Název: | ePOCT+ Rwanda: A Clinical Decision Support Algorithm For Managing Sick Children Below 15 Years of Age in Primary Healthcare Settings |
|---|---|
| Autoři: | von Kalckreuth, Vera, Rwandarwacu, Victor P, Cobuccio, Ludovico, Dusengumuremyi, Théophile, Levine, Gillian A, Norris, Martin, Alix, Miauton, Tan, Rainer, Rusingiza, Emmanuel, Umuhoza, Christian, Rutagarama, Florent H, Muhire, Hippolyte B, Nkuranga, John Baptist, Vaezipour, Nina, Keitel, Kristina, Beynon, Fenella, Tuyisenge, Lisine, D'Acremont, Valérie, Kulinkina, Alexandra V |
| Zdroj: | Rwanda J Med Health Sci Rwanda Journal of Medicine and Health Sciences; Vol. 8 No. 1 (2025); 148-162 Rwanda journal of medicine and health sciences, vol. 8, no. 1, pp. 148-162 |
| Publication Status: | Preprint |
| Informace o vydavateli: | African Journals Online (AJOL), 2025. |
| Rok vydání: | 2025 |
| Témata: | Clinical decision support, algorithm, primary care, CDSA, CDSS, clinical guidelines, child health, digital health, Rwanda, primary care, Technical Report, algorithm, clinical guidelines, child health, Rwanda, digital health, Clinical decision support, CDSA, CDSS, 3. Good health |
| Popis: | Primary health systems in resource-constrained settings suffer from human resource shortages, low quality care, and diagnostic uncertainty, resulting in over-reliance on antibiotics, increasing risks of antimicrobial resistance. Digital clinical decision support algorithms (CDSAs) help healthcare workers adhere to clinical guidelines and improve prescribing practices. In this manuscript, we present the scope and content of ‘ePOCT+ Rwanda’ (electronic Point-Of-Care Tests +), a CDSA trialed in primary health centers of Rusizi and Nyamasheke districts during the DYNAMIC project. The algorithm is based on the WHO IMCI guidelines, expanded to include a broader range of ages (between 1 day and 14 years, inclusive) and acute medical conditions encountered in primary care (57 diagnoses for young infants < 2 months and 144 diagnoses for children 2 months to 14 years). The digital application used to deploy ePOCT+ prompts users to enter the results of medical history, physical examinations and laboratory tests to propose diagnoses, treatments and managements. In addition to routine point-of-care tests, ePOCT+ utilizes haemoglobin and C-reactive protein tests, as well as pulse oximetry, targeted to specific clinical conditions. We discuss the rationale behind the content of the algorithm and the process of aligning it with the Rwandan paediatric guidelines and tailoring it to the primary care setting. Rwanda J Med Health Sci 2025;8(1):148-162_____________________________________ |
| Druh dokumentu: | Article Other literature type |
| Popis souboru: | application/pdf |
| ISSN: | 2616-9827 2616-9819 |
| DOI: | 10.4314/rjmhs.v8i1.13 |
| DOI: | 10.5281/zenodo.13828665 |
| DOI: | 10.5281/zenodo.13828664 |
| Přístupová URL adresa: | https://www.ajol.info/index.php/rjmhs/article/view/293392 http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_1FEF93C63DEB1 https://serval.unil.ch/notice/serval:BIB_1FEF93C63DEB https://serval.unil.ch/resource/serval:BIB_1FEF93C63DEB.P001/REF.pdf |
| Rights: | CC BY NC ND CC BY URL: http://creativecommons.org/licenses/by-nc-nd/4.0/This article is published open access under the Creative Commons Attribution-Non-Commercial No Derivatives (CC BYNC-ND4.0). People can copy and redistribute the article only for noncommercial purposes and as long as they give appropriate credit to the authors. They cannot distribute any modified material obtained by remixing, transforming or building upon this article. See http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Přístupové číslo: | edsair.doi.dedup.....5d05d0382e72a95d39e0ed6514493cb8 |
| Databáze: | OpenAIRE |
Full Text 
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstrakt: | Primary health systems in resource-constrained settings suffer from human resource shortages, low quality care, and diagnostic uncertainty, resulting in over-reliance on antibiotics, increasing risks of antimicrobial resistance. Digital clinical decision support algorithms (CDSAs) help healthcare workers adhere to clinical guidelines and improve prescribing practices. In this manuscript, we present the scope and content of ‘ePOCT+ Rwanda’ (electronic Point-Of-Care Tests +), a CDSA trialed in primary health centers of Rusizi and Nyamasheke districts during the DYNAMIC project. The algorithm is based on the WHO IMCI guidelines, expanded to include a broader range of ages (between 1 day and 14 years, inclusive) and acute medical conditions encountered in primary care (57 diagnoses for young infants < 2 months and 144 diagnoses for children 2 months to 14 years). The digital application used to deploy ePOCT+ prompts users to enter the results of medical history, physical examinations and laboratory tests to propose diagnoses, treatments and managements. In addition to routine point-of-care tests, ePOCT+ utilizes haemoglobin and C-reactive protein tests, as well as pulse oximetry, targeted to specific clinical conditions. We discuss the rationale behind the content of the algorithm and the process of aligning it with the Rwandan paediatric guidelines and tailoring it to the primary care setting. Rwanda J Med Health Sci 2025;8(1):148-162_____________________________________ |
|---|---|
| ISSN: | 26169827 26169819 |
| DOI: | 10.4314/rjmhs.v8i1.13 |