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

Author:

Aung TriciaORCID,Niyeha Debora,Shagihilu Shagihilu,Mpembeni Rose,Kaganda Joyceline,Sheffel Ashley,Heidkamp Rebecca

Funder

Global Affairs Canada

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,Health Policy,Health (social science),Epidemiology

Reference42 articles.

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2. Hawkes S, K Aulakh B, Jadeja N, Jimenez M, Buse K, Anwar I, Barge S, Odubanjo MO, Shukla A, Ghaffar A, et al. Strengthening capacity to apply health research evidence in policy making: experience from four countries. Health Policy Plan. 2016;31(2):161–70.

3. Haynes A, Rowbotham SJ, Redman S, Brennan S, Williamson A, Moore G. What can we learn from interventions that aim to increase policy-makers' capacity to use research? A realist scoping review. Health Res Policy Syst. 2018;16(1):31.

4. Malla C, Aylward P, Ward P. Knowledge translation for public health in low- and middle- income countries: a critical interpretive synthesis. Glob Health Res Policy. 2018;3:29.

5. United Nations Statistics Division. Harnessing the power of data for sustainable development - SDG Indicators [Internet]. 2017 [cited 2018 October 10]. Available from: https://unstats.un.org/sdgs/report/2017/harnessing .

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