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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%)