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Population-Based Clinical Studies Using Routinely Collected Data in Hong Kong, China: A Systematic Review of Trends and Established Local Practices

Authors :
Derek Wu
Ronald Nam
Keith Sai Kit Leung
Hamza Waraich
Athaya Purnomo
Oscar Hou In Chou
Francesco Perone
Shubhadarshini Pawar
Fatima Faraz
Haipeng Liu
Jiandong Zhou
Tong Liu
Jeffrey Shi Kai Chan
Gary Tse
Source :
Cardiovascular Innovations and Applications, Vol 8, Iss 1, p 940 (2023)
Publication Year :
2023
Publisher :
Compuscript Ltd, 2023.

Abstract

Background: Routinely collected health data are increasingly used in clinical research. No study has systematically reviewed the temporal trends in the number of publications and analyzed different aspects of local research practices and their variations in Hong Kong, China, with a specific focus on research ethics governance and approval. Methods: PubMed was systematically searched from its inception to March 28, 2023, for studies using routinely collected healthcare data from Hong Kong. Results: A total of 454 studies were included. Between 2000 and 2009, 32 studies were identified. The number of publications increased from 5 to 120 between 2010 and 2022. Of the investigator-led studies using the Hospital Authority (HA)’s cross-cluster data (n = 393), 327 (83.2%) reported receiving ethics approval from a single cluster/university-based REC, whereas 50 studies (12.7%) did not report approval from a REC. For use of the HA Data Collaboration Lab, approval by a single hospital-based or University-based REC is accepted. Repeated submission of identical ethics applications to different RECs is estimated to cost HK$4.2 million yearly. Conclusions: Most studies reported gaining approval from a single cluster REC before retrieval of cross-cluster HA data. Substantial cost savings would result if repeated review of identical ethics applications were not required.

Details

Language :
English
ISSN :
20098782 and 20098618
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Cardiovascular Innovations and Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.0c4d551902b54a578bba5a83cd594670
Document Type :
article
Full Text :
https://doi.org/10.15212/CVIA.2023.0073