Policy-makers' views on translating burden of disease estimates in health policies: bridging the gap through data visualization.

ABSTRACT:

Background

Knowledge Translation (KT) and data visualization play a vital role in the dissemination of data and information to improve healthcare systems. A better understanding of KT and its utility requires examining its processes, and how these interact with available data tools and platforms and various users. In this context, the aim of this paper is to understand how relevant users interact with data visualization tools, in particular Global Burden of Disease (GBD) visualizations, while also examining KT processes related to data visualization.

Methods

A qualitative case-study consisting of semi-structured interviews with eight policy officers. Interviewees were selected by the Institute for Health Metrics and Evaluation (IHME) from three countries: Canada, Kenya and N

SUBMITTER: Lundkvist A 

PROVIDER: S-EPMC7863500 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature