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Table 2 Summary of “lives saved” estimation approach for HIV, TB, and malaria

From: A novel approach to estimate the impact of health workforce investments on health outcomes through increased coverage of HIV, TB and malaria services

Indicator

Lives saved

Country-level data from end-user

Key assumptions

ART coverage for HIV

5.11 lives saved per 100,000 population for each 1 percentage point increase in ART coverage

• Population size (optional: HIV prevalence)

• Effectiveness of ART coverage is similar to that of average effectiveness in Nigeria and South Africa

ART coverage for PMTCT

12.5 child deaths averted for every 100 additional HIV positive women on ART for PMTCT

• Percent of pregnant women who are HIV + that receive ART for PMTCT

• Effectiveness of ART coverage for PMTCT is similar to that of 21 sub-Saharan countries

Tuberculosis treatment coverage

1 life saved for every 3 TB cases treated

• Estimated number of all TB cases (detected)

• TB treatment success rate

• TB treatment success rate remains fixed, regardless of level of TB treatment coverage

Children < 5 years sought treatment for fever

0.46% decline in count of < 5 malaria deaths for each percentage point increase in treatment-seeking

• Number of malaria-related deaths for under five children

• If a child seeks treatment for fever at a facility, they receive a diagnostic test for malaria