Data quality assessment of the Dutch Breast Implant Registry by automated data verification using medical billing data

Background: The Dutch Breast Implant Registry (DBIR) provides real-time population-based data to monitor and improve the quality and safety of breast implants and to trace patients in the event of an (inter)national recall. To serve these main goals, the capture rate and percentage of implants that are actually registered should be known and data should be complete. This study aimed to describe an automated verification process for capture rates and data completeness using medical billing data as the external source. Methods: DBIR-data on reconstructive permanent breast implants and tissue expanders (TEs) from 2019 were compared to medical billing data. At the hospital level, the capture rate of DBIR and accuracy of the selected data points were assessed. Results: In total, 2389 implants (1420 patients) were included from 12 participating hospitals (11% of all healthcare institutions registering in DBIR). DBIR had capture rates of 99% to 114% for inserted permanent implants and TEs and 49% for explanted permanent implants and TEs. Among the 9015 data points analyzed in DBIR, 8861 (98%) matched the medical billing data. Mastopexy had the highest matching percentage (100%) and capsulectomy the lowest (86%). Conclusion: This study showed varying capture rates in DBIR depending on the intervention group, indicating that registration of DBIR-data and medical billing codes could be further optimized. Data accuracy was high as only 2% of data points did not correspond to medical billing data. For future data verification, other external data sources could be explored, including sources that enable verification of cosmetic implants.