Skip to main content

Advertisement

Table 3 Participant characteristics

From: Optimizing data visualization for reproductive, maternal, newborn, child health, and nutrition (RMNCH&N) policymaking: data visualization preferences and interpretation capacity among decision-makers in Tanzania

Characteristic Total (n = 25)
Gender
 Male 16 (64%)
 Female 9 (36%)
Focus Area
 General health policy/cross-cutting 5 (20%)
 Nutrition 8 (32%)
 Reproductive, child health, and newborn 8 (32%)
 Vaccines 4 (16%)
Professional Experience
 Senior 10 (40%)
 Mid-level 11 (44%)
 Junior 4 (16%)