Dynamic electronic decision trees for managing childhood illness (DYNAMIC)
Every year, more than five million children die before the age of five due to preventable or treatable causes, most of them in developing countries. New technologies combined with rapid tests can improve diagnosis and management of sick children and reduce health costs. This collaborative research project makes use of Switzerland’s knowledge in digital technologies to improve the health of children and reduce unnecessary antibiotic prescriptions in low resource settings.
| Land/Region | Thema | Periode | Budget |
|---|---|---|---|
|
Weltweit Ruanda Tansania |
Gesundheit Andere
Primäre Gesundheitsversorgung
Nicht spezifizierter Sektor Medizinische Dienstleistungen Stärkung der Gesundheitssysteme |
15.11.2019
- 31.12.2024 |
CHF 3’910’000
|
- Central State of South East
- Schweizerischer Privatsektor
- universitelausanne
-
Sektor nach Kategorisierung des Entwicklungshilfeekomitees der OECD GESUNDHEIT
Unallocated / Unspecified
GESUNDHEIT
GESUNDHEIT
Sub-Sektor nach Kategorisierung des Entwicklungshilfeekomitees der OECD Basisgesundheitswesen
Sectors not specified
Medizinische Dienstleistungen
Politik und Verwaltung im Gesundheitswesen
Unterstützungsform Auftrag mit treuhänderischer Mittelverwaltung
Projekt- und Programmbeitrag
Projektnummer 7F10361
| Hintergrund | Children are a vulnerable population group that suffers most of acute illnesses. In most low and middle-income countries significant improvements in healthcare have been achieved in the last decades. However, the diagnosis and management of sick children at primary care level often remains inadequate. Health professionals have limited skills, diagnostic tools are missing, and practical guidelines are inconsistent and quickly outdated. Digital decision making tools for primary health care workers are very cost-effective instruments that can greatly improve care for sick children, rationalize antibiotic use, and strengthen referral decisions. The safety of a novel electronic point-of-care clinical algorithm (ePOCT) was validated through a first clinical trial conducted in Tanzania and supported by SDC in the framework of its research for development (r4d) programme. Further validation studies are now needed to improve and extend the scope of the ePOCT tool. |
| Ziele | To improve the quality of care for children aged 0-12 years in low resource settings by validating and implementing a novel electronic point-of-care clinical algorithm (ePOCT) that guide and train health workers in the diagnosis and management of sick children. |
| Zielgruppen |
Primary beneficiaries: sick children aged 0 days to 12 years and their families attending primary health care facilities Secondary beneficiaries: surrounding communities, health workers, health administrators and managers, health ministries |
| Mittelfristige Wirkungen |
Outcome 1: Integrated management of children with acute illnesses at primary care level is improved Outcome 2: The national health information system for disease surveillance and early epidemic detection is enhanced Outcome 3. Clinical algorithms are improved and continuously adapted to geographical and seasonal variations using machine-learning Outcome 4: Antimicrobial drug pressure in the community is decreased Outcome 5: The environment for sustainability of electronic clinical decision support algorithms and framework for larger-scale implementation is supportive |
| Resultate |
Resultate von früheren Phasen: The safety of ePOCT was asessed and validated through a first clinical trial conducted in urban Tanzania. The use of ePOCT led to an improvement in clinical outcome while reducing by 88% the proportion of antibiotic prescriptions. |
| Verantwortliche Direktion/Bundesamt |
DEZA |
| Kreditbereich |
Entwicklungszusammenarbeit |
| Projektpartner |
Vertragspartner Privatsektor Ausländische staatliche Institution Schweizerische Hochschul- und Forschungsinstitution |
| Budget | Laufende Phase Schweizer Beitrag CHF 3’910’000 Bereits ausgegebenes Schweizer Budget CHF 3’832’000 |
| Projektphasen | Phase 1 15.11.2019 - 31.12.2024 (Laufende Phase) |
