Defining and conceptualising data harmonisation: a scoping review protocol

dc.contributor.authorSchmidt, Bey-Marrié
dc.contributor.authorColvin, Christopher J
dc.contributor.authorHohlfeld, Ameer
dc.contributor.authorLeon, Natalie
dc.date.accessioned2018-12-11T14:09:22Z
dc.date.available2018-12-11T14:09:22Z
dc.date.issued2018-12-06
dc.date.updated2018-12-09T04:40:13Z
dc.description.abstractAbstract 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.
dc.identifier.apacitationSchmidt, B., Colvin, C. J., Hohlfeld, A., & Leon, N. (2018). Defining and conceptualising data harmonisation: a scoping review protocol. http://hdl.handle.net/11427/29139en_ZA
dc.identifier.chicagocitationSchmidt, Bey-Marrié, Christopher J Colvin, Ameer Hohlfeld, and Natalie Leon "Defining and conceptualising data harmonisation: a scoping review protocol." (2018) http://hdl.handle.net/11427/29139en_ZA
dc.identifier.citationSystematic Reviews. 2018 Dec 06;7(1):226
dc.identifier.ris TY - Journal Article AU - Schmidt, Bey-Marrié AU - Colvin, Christopher J AU - Hohlfeld, Ameer AU - Leon, Natalie AB - 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. DA - 2018-12-06 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PY - 2018 T1 - Defining and conceptualising data harmonisation: a scoping review protocol TI - Defining and conceptualising data harmonisation: a scoping review protocol UR - http://hdl.handle.net/11427/29139 ER - en_ZA
dc.identifier.urihttps://doi.org/10.1186/s13643-018-0890-7
dc.identifier.urihttp://hdl.handle.net/11427/29139
dc.identifier.vancouvercitationSchmidt B, Colvin CJ, Hohlfeld A, Leon N. Defining and conceptualising data harmonisation: a scoping review protocol. 2018; http://hdl.handle.net/11427/29139.en_ZA
dc.language.isoen
dc.publisherBioMed Central
dc.rights.holderThe Author(s).
dc.subject.otherData harmonisation
dc.subject.otherData linkage
dc.subject.otherHealth information exchange
dc.subject.otherRoutine health information system
dc.subject.otherScoping review
dc.subject.otherHealth management decision-making
dc.titleDefining and conceptualising data harmonisation: a scoping review protocol
dc.typeJournal Article
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
13643_2018_Article_890.pdf
Size:
903.5 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.72 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections