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https://repository.southwesthealthcare.com.au/swhealthcarejspui/handle/1/4198
Journal Title: | Improving Clinical Registry Data Quality via Linkage With Survival Data From State-Based Population Registries |
Authors: | Smith, Samuel Drummond, Kate Dowling, Anthony Bennett, Iwan Campbell, David Freilich, Ronnie Philips, Claire Ahern, Elizabeth Reeves, Simone Campbell, Robert Collins, Ian M. Johns, Julie Dumas, Megan Hong, Wei Gibbs, Peter Gately, Lucy |
SWH Author: | Collins, Ian M. |
Keywords: | Cancer Cancer Clinical Registries Clinical Registry Data Data Quality Registry Linkage |
Issue Date: | 26-Jun-2024 |
Date Accessioned: | 2024-07-03T00:08:23Z |
Date Available: | 2024-07-03T00:08:23Z |
Accession Number: | https://doi.org/10.1200/CCI.24.00025 |
Url: | https://ascopubs.org/doi/full/10.1200/CCI.24.00025 |
Source Volume: | 8 |
Issue Number: | 8 |
DOI: | https://doi.org/10.1200/CCI.24.00025 |
Abstract: | Abstract Purpose Real-world data (RWD) collected on patients treated as part of routine clinical care form the basis of cancer clinical registries. Capturing accurate death data can be challenging, with inaccurate survival data potentially compromising the integrity of registry-based research. Here, we explore the utility of data linkage (DL) to state-based registries to enhance the capture of survival outcomes. Methods We identified consecutive adult patients with brain tumors treated in the state of Victoria from the Brain Tumour Registry Australia: Innovation and Translation (BRAIN) database, who had no recorded date of death and no follow-up within the last 6 months. Full name and date of birth were used to match patients in the BRAIN registry with those in the Victorian Births, Deaths and Marriages (BDM) registry. Overall survival (OS) outcomes were compared pre- and post-DL. Results Of the 7,346 clinical registry patients, 5,462 (74%) had no date of death and no follow-up recorded within the last 6 months. Of the 5,462 patients, 1,588 (29%) were matched with a date of death in BDM. Factors associated with an increased number of matches were poor prognosis tumors, older age, and social disadvantage. OS was significantly overestimated pre-DL compared with post-DL for the entire cohort (pre- v post-DL: hazard ratio, 1.43; P < .001; median, 29.9 months v 16.7 months) and for most individual tumor types. This finding was present independent of the tumor prognosis. Conclusion As revealed by linkage with BDM, a high proportion of patients in a brain cancer clinical registry had missing death data, contributed to by informative censoring, inflating OS calculations. DL to pertinent registries on an ongoing basis should be considered to ensure accurate reporting of survival data and interpretation of RWD outcomes. |
URI: | https://repository.southwesthealthcare.com.au/swhealthcarejspui/handle/1/4198 |
Journal Title: | American Society of Clinical Oncology Journal |
Type: | Journal Article |
Appears in Collections: | SWH Staff Publications |
Files in This Item:
File | Description | Size | Format | |
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smith-et-al-2024-improving-clinical-registry-data-quality-via-linkage-with-survival-data-from-state-based-population.pdf | 590.18 kB | Adobe PDF | View/Open |
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