Characterization of Innovation to Fight Child Mortality: A Systematic Scoping Review

Data de publicação:

Autores da FMUP

  • José Alberto Da Silva Freitas

    Autor

Participantes de fora da FMUP

  • Da Costa, BFC
  • Carneiro, BD
  • Ramalho, A

Unidades de investigação

Abstract

Objectives: This study aims to summarize how child mortality-a Sustainable Development Goal stated by the United Nations-has been explicitly addressed in the context of innovations.Methods: A scoping review following the PRISMA-ScR Statement was performed analysing indexed and non-indexed literature.Results: Empirical and non-disruptive innovation in the context of process targeting under-five mortality rate was the main subset of literature included in this article. The increment of literature on innovation in the context of SDGs over the last years denotes its growing importance and even though innovation aiming to reduce child mortality is currently being done, a significant part of it is not published in indexed databases but as grey literature.Conclusion: Empirical, disruptive innovation under a structural approach and empirical, non-disruptive innovation under a project point of view are the main types of innovation addressed in the literature and would be of utmost potential to reduce child mortality rate. A systematic review of the methods used for the measures of evaluation of applied innovations, their quality and results would be of great importance in the future.

Dados da publicação

ISSN/ISSNe:
1661-8564, 1661-8556

International Journal of Public Health  Frontiers Media S.A.

Tipo:
Article
Páginas:
-
Link para outro recurso:
www.scopus.com

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Keywords

  • scoping review; innovation; child mortality; under-five mortality rate; neonatal mortality rate; sustainable development goal

Campos de estudo

Proyectos asociados

Stimulate continous monitoring in personal and physical health.

Investigador Principal: José Alberto da Silva Freitas

Estudo Observacional Académico (INNO4HEALTH) . FCT . 2021

A machine learning-based approach to support the assessment of clinical coded data quality in the context of Diagnosis-Related Groups classification systems

Investigador Principal: José Alberto da Silva Freitas

Estudo Clínico Académico . 2020

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