Table 2 Key decision-making tools in health care and policy in Africa
From: Enabling data-driven decision-making for innovative health care and delivery in Africa
Country | Disease | Factors in decision making | Decision-making tool | Policy/strategy goals | Decision Level | Reference |
|---|---|---|---|---|---|---|
Ghana | Malaria | Monthly outpatient morbidity returns, Monthly malaria data returns on antimalarials, NMCP antenatal/maternity monthly data returns | DHIMS2 | To plan or rapidly detect any unusual spread of the disease | District | |
Ethiopia | Leishmaniasis | Reported Cases | OpenMRS | To monitor neglected diseases | National | |
Rwanda | HIV | Patient weight, Antiretroviral therapy (ART) Regimen, CD4 Count | OpenMRS | Identify problem areas within the system and improve patient care | District | |
Uganda | Complications that affect pregnant women | Pregnant women delivering, Pregnant women on Antenatal Care, Pregnant women who completed Intermittent Protective Therapy (IPT2) | DHIS2 | To improve the timeliness of data reporting and improve the completeness of existing data | National | |
Mozambique | HIV | HIV Viral Load | WWDISA | Shorten the time interval between sample collection and viral load reporting | District | |
Namibia | HIV | ART Uptake Patterns | EDT | To manage the dispensing of ART and keep stock of ART drugs available | National | |
Guinea | Ebola | Contact Information, Vaccine Information | DHIS2 | To track infected patients and monitor spread of the virus | National | |
Angola | Tuberculosis | Contact Information, Comorbidities | DHIS2 | Improve TB surveillance | Regional |
