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Clinical registries data quality attributes to support registry-based randomised controlled trials: A scoping review.
Prang, Khic-Houy; Karanatsios, Bill; Verbunt, Ebony; Wong, Hui-Li; Yeung, Justin; Kelaher, Margaret; Gibbs, Peter.
Afiliação
  • Prang KH; Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia. Electronic address: khic-houy.prang@unimelb.edu.au.
  • Karanatsios B; Department of Surgery, Western Precinct, The University of Melbourne, Parkville, VIC, Australia; Western Health Chronic Disease Alliance, Western Health, St Albans, VIC, Australia. Electronic address: bill.karanatsios@wh.org.au.
  • Verbunt E; Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia. Electronic address: ebony.verbunt@unimelb.edu.au.
  • Wong HL; Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia; Department of Medical Oncology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia. Electro
  • Yeung J; Department of Surgery, Western Precinct, The University of Melbourne, Parkville, VIC, Australia; Western Health Chronic Disease Alliance, Western Health, St Albans, VIC, Australia. Electronic address: justin.yeung@unimelb.edu.au.
  • Kelaher M; Centre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia. Electronic address: mkelaher@unimelb.edu.au.
  • Gibbs P; Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC, Australia; Department of Medical Oncology, Western Health, Sunshine, VIC, Australia. Electronic address: pet
Contemp Clin Trials ; 119: 106843, 2022 08.
Article em En | MEDLINE | ID: mdl-35792338
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Melhoria de Qualidade / Confiabilidade dos Dados Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Melhoria de Qualidade / Confiabilidade dos Dados Idioma: En Ano de publicação: 2022 Tipo de documento: Article