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

• Main Authors: Tricia Aung (Author), Debora Niyeha (Author), Shagihilu Shagihilu (Author), Rose Mpembeni (Author), Joyceline Kaganda (Author), Ashley Sheffel (Author), Rebecca Heidkamp (Author)
• Format: Book
• Published: BMC, 2019-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Reproductive, maternal, newborn, child health, and nutrition (RMNCH&N) data is an indispensable tool for program and policy decisions in low- and middle-income countries. However, being equipped with evidence doesn't necessarily translate to program and policy changes. T...