Building a Foundation for High-Quality Health Data: A Multi-Hospital Study in Belgium (Preprint)

Author:

Declerck JensORCID,Vandenberk BertORCID,Deschepper MiekeORCID,Colpaert KirstenORCID,Cool LieselotORCID,Goemaere JensORCID,Bové MonaORCID,Staelens FrankORCID,De Meester KoenORCID,Verbeke EvaORCID,Smits ElkeORCID,De Decker Cami,Van Der Vekens NickyORCID,Pauwels ElinORCID,Vander Stichele RobertORCID,Kalra DipakORCID,Coorevits PascalORCID

Abstract

BACKGROUND

Data quality is fundamental to maintain the trust and reliability of health data for both primary and secondary purposes. However, before secondary use of health data, it is essential to assess the quality at the source and to develop systematic methods for the assessment of important data quality dimensions.

OBJECTIVE

This case study aims to offer a dual aim: to assess the data quality of height and weight measurements across seven Belgian hospitals and to outline the obstacles these hospitals face in sharing and improving data quality standards

METHODS

Focusing on data quality dimensions completeness and consistency, this study examined height and weight data collected from 2021 to 2022 within three distinct departments – surgical, geriatrics, and paediatrics – in each of the seven hospitals.

RESULTS

Variability was observed in the completeness scores for height across hospitals and departments, especially within surgical and geriatric wards. In contrast, weight data uniformly achieved high completeness scores. Notably, the consistency of height and weight data recording was uniformly high across all departments.

CONCLUSIONS

A collective collaboration among Belgian hospitals, transcending network affiliations, was formed to conduct this data quality assessment. This study demonstrates the potential for improving data quality across healthcare organizations by sharing knowledge and good practices, establishing a foundation for future, similar research.

Publisher

JMIR Publications Inc.

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