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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Aug 3, 2023
Date Accepted: Jan 9, 2024

The final, peer-reviewed published version of this preprint can be found here:

Frameworks, Dimensions, Definitions of Aspects, and Assessment Methods for the Appraisal of Quality of Health Data for Secondary Use: Comprehensive Overview of Reviews

Declerck J, Kalra D, Vander Stichele R, Coorevits P

Frameworks, Dimensions, Definitions of Aspects, and Assessment Methods for the Appraisal of Quality of Health Data for Secondary Use: Comprehensive Overview of Reviews

JMIR Med Inform 2024;12:e51560

DOI: 10.2196/51560

PMID: 38446534

PMCID: 10955383

Frameworks, dimensions, definitions of aspects and assessment methods for the appraisal of quality of health data in secondary use: a review of reviews

  • Jens Declerck; 
  • Dipak Kalra; 
  • Robert Vander Stichele; 
  • Pascal Coorevits

ABSTRACT

Background:

Healthcare is not obtaining the full potential of the secondary use of health data, because of – among other issues - concerns about the quality of the data being used. The transition to digital health led to a substantial increase in the quantity of health data, but not to the same extent to an increase in the quality of health data.

Objective:

The aim of this review is to offer a comprehensive overview of the existing frameworks of data quality dimensions and assessment methods for secondary use of health data.

Methods:

A review of reviews was conducted including reviews describing frameworks of data quality dimensions and of their assessment methods, specifically from a secondary use perspective. Reviews were excluded if they were not related to the healthcare ecosystem, lacked relevant information related to our research objective and if published in languages other than English.

Results:

A total of 22 reviews were included; comprising 22 frameworks, with 23 different terms for dimensions, and 62 definitions of dimensions. Only 8 reviews mentioned assessment methods.

Conclusions:

The findings in this review revealed a lack of consensus in the literature regarding terminology, definitions, and assessment methods for data quality dimensions. This creates ambiguity and difficulties in developing specific assessment methods. Future research should propose specific requirements for data quality dimensions at data collection and every data handling step, depending on the use case, to establish a comprehensive view on the quality of health data.


 Citation

Please cite as:

Declerck J, Kalra D, Vander Stichele R, Coorevits P

Frameworks, Dimensions, Definitions of Aspects, and Assessment Methods for the Appraisal of Quality of Health Data for Secondary Use: Comprehensive Overview of Reviews

JMIR Med Inform 2024;12:e51560

DOI: 10.2196/51560

PMID: 38446534

PMCID: 10955383

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