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Published in: Systematic Reviews 1/2018

Open Access 01-12-2018 | Protocol

Defining and conceptualising data harmonisation: a scoping review protocol

Authors: Bey-Marrié Schmidt, Christopher J. Colvin, Ameer Hohlfeld, Natalie Leon

Published in: Systematic Reviews | Issue 1/2018

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Abstract

Background

Data harmonisation is an important intervention to strengthen health systems functioning. It has the potential to enhance the production, accessibility and utilisation of routine health information for clinical and service management decision-making. It is important to understand the range of definitions and concepts of data harmonisation, as well as how its various social and technical components and processes are thought to lead to better health management decision-making. However, there is lack of agreement in the literature, and in practice, on definitions and conceptualisations of data harmonisation, making it difficult for health system decision-makers and researchers to design, implement, evaluate and compare data harmonisation interventions. This scoping review aims to synthesise (1) definitions and conceptualisations of data harmonisation as well as (2) explanations in the literature of the causal relationships between data harmonisation and health management decision-making.

Methods

This review follows recommended methodological stages for scoping studies. We will identify relevant studies (peer-reviewed and grey literature) from 2000 onwards, in English only, and with no methodological restriction, in various electronic databases, such as CINAHL, MEDLINE via PubMed and Global Health. Two reviewers will independently screen records for potential inclusion for the abstract and full-text screening stages. One reviewer will do the data extraction, analysis and synthesis, with built-in reliability checks from the rest of the team. We will use a combination of sampling techniques, including two types of ‘purposeful sampling’, a methodological approach that is particularly suitable for a scoping review with our objectives. We will provide (a) a numerical synthesis of characteristics of the included studies and (b) a narrative synthesis of definitions and explanations in the literature of the relationship between data harmonisation and health management decision-making.

Discussion

We list potential limitations of this scoping review. To our knowledge, this scoping review will be the first to synthesise definitions and conceptualisations of data harmonisation in the literature as well as the underlying explanations in the literature of the causal links between data harmonisation and health management decision-making.
Appendix
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Metadata
Title
Defining and conceptualising data harmonisation: a scoping review protocol
Authors
Bey-Marrié Schmidt
Christopher J. Colvin
Ameer Hohlfeld
Natalie Leon
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2018
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-018-0890-7

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