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Development of minimal basic data set to report COVID-19.

Mostafa Shanbehzadeh1, Hadi Kazemi-Arpanahi2

  • 1Department of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran.

Medical Journal of the Islamic Republic of Iran
|December 14, 2020
PubMed
Summary
This summary is machine-generated.

A core set of 125 data elements for COVID-19, the Minimal Basic Data Set (MBDS), was established. This standardized data will improve COVID-19 monitoring, clinical care, and research comparability.

Keywords:
COVID-19Minimum basic data setMinimum data set

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Area of Science:

  • Infectious Diseases
  • Public Health Surveillance
  • Health Informatics

Background:

  • Effective COVID-19 surveillance requires rapid, valid, and standardized data for crisis monitoring and clinical interventions.
  • Data standardization is crucial for accurate data comparability and enhanced generalization of findings.
  • A Minimal Basic Data Set (MBDS) standardizes data collection for clinical purposes and research.

Purpose of the Study:

  • To establish a core data set for characterizing COVID-19.
  • To consolidate clinical practice through standardized data collection.
  • To develop a robust and validated COVID-19 Minimal Basic Data Set (MBDS).

Main Methods:

  • A 3-step approach involving data collection from existing systems, a systematic literature review, and a 2-round Delphi survey.
  • Systematic literature review to identify evidence for MBDS development.
  • Delphi survey with experts to reach consensus and validate data elements for the COVID-19 MBDS.

Main Results:

  • Identified 149 potential data items from 38 studies meeting inclusion criteria.
  • Data elements were classified by 3 experts.
  • A consensus was reached on 125 data elements confirmed as the COVID-19 MBDS through a 2-round Delphi procedure.

Conclusions:

  • The developed COVID-19 MBDS provides a foundation for evaluating, reporting, and benchmarking COVID-19 disease.
  • Facilitates scientific collaboration among healthcare providers, potentially improving documentation and clinical care.
  • Enhances the quality of research outcomes related to COVID-19.