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Defining and conceptualising data harmonisation: a scoping review protocol.

Bey-Marrié Schmidt1,2, Christopher J Colvin3,4,5, Ameer Hohlfeld6

  • 1School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Falmouth Rd, Observatory, Cape Town, 7925, South Africa. schbey001@myuct.ac.za.

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Summary
This summary is machine-generated.

This review synthesizes definitions of data harmonisation and its links to health management decision-making. Understanding these concepts is crucial for improving health systems and data utilization.

Keywords:
Data harmonisationData linkageHealth information exchangeHealth management decision-makingRoutine health information systemScoping review

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Area of Science:

  • Health Informatics
  • Health Systems Strengthening
  • Data Management

Background:

  • Data harmonisation is vital for enhancing health information systems.
  • Clear definitions and conceptualizations are lacking, hindering effective implementation and evaluation.
  • Understanding the social and technical aspects of data harmonisation is key for better health management.

Purpose of the Study:

  • To synthesize definitions and conceptualizations of data harmonisation.
  • To explore explanations of the causal relationships between data harmonisation and health management decision-making.

Main Methods:

  • A comprehensive scoping review of peer-reviewed and grey literature from 2000 onwards.
  • Systematic screening of electronic databases (CINAHL, PubMed, Global Health) by two independent reviewers.
  • Narrative and numerical synthesis of study characteristics, definitions, and causal explanations.

Main Results:

  • The review will provide a synthesized overview of existing definitions and conceptualizations of data harmonisation.
  • It will elucidate the literature's explanations for how data harmonisation impacts health management decision-making.
  • This synthesis aims to address the current lack of agreement in the field.

Conclusions:

  • This scoping review offers a novel synthesis of data harmonisation definitions and their impact on health management.
  • Findings will aid decision-makers and researchers in designing, implementing, and evaluating data harmonisation interventions.
  • The study addresses a critical gap in understanding the multifaceted nature of data harmonisation in healthcare.