Development of a Regional Automated Hernia Registry: First Results

Background In recent years, the concept of Learning Health Systems (LHS) has continued to develop. The existing hernia registries do not fully meet the requirements of the LHS. The aim of the study was to develop an automated hernia registry. Method The study is a prospective register-based (clinicaltrials.gov ID is NCT05920200). To maintain data quality, structured data entry forms have been developed and integrated into Medical Information System of Kaliningrad region (preoperative examinations, perioperative data, treatment results). Postoperative complications, recurrences, quality of life (EuraHS Qol Score) and pain levels (IPQ) scale were monitored. The approach to the work with the register was based on the principles of Big Data. Results During the first year, 43009 records from 995 patients diagnosed with ICD-10 K40-K43 were included. There were 327 (32.8%) females, 668 (67.2%) males. The emergency surgeries rate – 26.8%. The frequency of application of MIT was 9.74%. Intraoperative complications rate – 0.9%. Postoperative complications rate – 2.7%. Pain in 24 hours after surgery (VAS) – 3[1; 5], pain in 48 hours after surgery – 2 [0; 6]. Quality of life at 2 months after surgery: Pain – 2 [0; 8], Restriction of activities – 3 [0; 20], Esthetical discomfort – 3 [0; 9]. Conclusion The automatic registry made it possible to evaluate the results of treatment of 100% of patients in public hospitals. Postoperative complications rate does not exceed that of HerniaMed. The level of quality of life corresponds to the data of publications. The automated registry is an effective tool for evaluating healthcare technologies in hernia surgery.