An application of capture-recapture methods to the estimation of completeness of cancer registration

Area of Science:

• Epidemiology
• Biostatistics
• Public Health

Background:

• Cancer registration completeness is crucial for accurate cancer surveillance.
• Variability in completeness across registries hinders reliable comparisons and epidemiological studies.

Purpose of the Study:

• To evaluate the effectiveness of capture-recapture methods for estimating cancer registration completeness.
• To compare different capture-recapture approaches using multiple data sources.

Main Methods:

• Applied capture-recapture methods using two and three data sources at the Ontario Cancer Registry.
• Utilized a flexible modeling approach considering variables influencing registration patterns.
• Employed standard, simple capture-recapture methods for comparison.

Main Results:

• Estimates of overall registry completeness were similar using two or three data sources.
• Site-specific completeness estimates varied by a maximum of 7% between methods.
• The modeling approach identified reporting patterns of different data sources.

Conclusions:

• Capture-recapture methods provide reliable estimates of cancer registration completeness.
• These methods enhance the comparability of cancer data across different registries.
• Increased adoption of capture-recapture methods is recommended for robust cancer surveillance.