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

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. This study aim...

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Detalles Bibliográficos
Autores principales: Aung, Tricia, Niyeha, Debora, Shagihilu, Shagihilu, Mpembeni, Rose, Kaganda, Joyceline, Sheffel, Ashley, Heidkamp, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376719/
https://www.ncbi.nlm.nih.gov/pubmed/30783631
http://dx.doi.org/10.1186/s41256-019-0095-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376719/
https://www.ncbi.nlm.nih.gov/pubmed/30783631
http://dx.doi.org/10.1186/s41256-019-0095-1

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