Clinical registries data quality attributes to support registry-based randomised controlled trials: A scoping review
- Author(s)
- Prang, KH; Karanatsios, B; Verbunt, E; Wong, HL; Yeung, J; Kelaher, M; Gibbs, P;
- Journal Title
- Contemporary Clinical Trials
- Publication Type
- Review
- Abstract
- BACKGROUND: Clinical registries have become an important platform for performance measurement, quality improvement, and clinical research including registry-based randomised controlled trials (RRCTs). However, the success of RRCTs is highly dependent on the quality of the registry. The aim of this study was to undertake a scoping review to identify the key characteristics that a registry must possess to be considered of high quality to successfully support the conduct of a RRCT. METHODS: A comprehensive search of four databases and grey literature was conducted. A narrative synthesis was conducted with a focus on summarising the characteristics that a high-quality registry must possess to support the conduct of RRCTs, and the mechanisms underpinning the collection of high-quality data. RESULTS: A total of 50 articles were included. Data accuracy, completeness, population capture, data standardisation, and timeliness were identified as essential data attributes of a high-quality clinical registry. The legal and ethical environment in which a registry operates, the available infrastructure support, and ongoing participation by healthcare providers were identified as impacting the collection of high-quality data. CONCLUSIONS: This review summarises the considerable work undertaken to determine the criteria with which to judge the suitability of a clinical registry to support a RRCT. Moving forward, the certification of individual clinical registries may be one way of identifying registries that can support a RRCT. In the interim, we propose the Registry Attributes Framework which can be used to ascertain the suitability of a registry to support a RRCT. Ultimately, the ideal goal should be to define minimum acceptable standards for a registry's key performance indicators (as depicted in the Framework) that would determine its certification status. New registries planned to support a RRCT should be designed and constructed against agreed standards once these are established.
- Keywords
- *Data Accuracy; Databases, Factual; Humans; *Quality Improvement; Randomized Controlled Trials as Topic; Registries; Quality; Registry; Registry trial; Review
- Department(s)
- Medical Oncology
- PubMed ID
- 35792338
- Publisher's Version
- https://doi.org/10.1016/j.cct.2022.106843
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- Refer to copyright notice on published article.
Creation Date: 2025-03-06 11:08:03
Last Modified: 2025-03-06 11:25:09