Data Quality Assessment

How it works

Comparisons

Evidence quality

Highlighted claims

• The DUCkS analyses will classify each outcome as recorded in both sources, only in trial data, only in healthcare systems data, or absent from both datasets. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data
• DUCkS analyses will compare healthcare systems data with trial-collected data for mortality, treatment, second cancer incidence, and major adverse events. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data
• Completeness, sensitivity, specificity, and Cohen's kappa will be used as patient-level data quality indicators. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data
• Trial-level analyses will compare hazard ratios derived from trial-based data and healthcare systems data using absolute and relative differences with confidence intervals. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data
• When events appear in both sources, their dates will be compared using median and interquartile differences with graphical displays. — Blood Cancer Clinical Trials Long-term Follow-up Using Integrated Healthcare Systems Data (BLISS): protocol for a data-linkage study integrating randomised clinical trials with national healthcare systems data