Assessment of the effectiveness of providing specialized medical care to patients with sexually transmitted infections and/or concomitant urogenital diseases using models of managing venereological patients

Background. Detection of gonococcal, chlamydial, trichomonal and M. genitalium infections is important for reflecting realistic statistics on sexually transmitted infections (STIs). Objective. To improve the effectiveness of providing medical care to venereological patients based on the algorithms for prescribing treatment and diagnostic services presented in models for managing patients with STIs and/or concomitant urogenital infections. Material and methods. Outpatient medical records of patients with STIs and/or associated urogenital infections who received specialized medical care at the Moscow Scientific and Practical Center of Dermatovenereology and Cosmetology (MSPCDC) (n=390, group 1) and with the use of patient models (pilot project, n=280, group 2) were analyzed. For this study, 3 groups of indicators were proposed to compare the effectiveness of specialized medical care delivery. The comparison of effectiveness was done using statistical analysis. Results. The criteria of completeness of the study of patients’ anamnestic data by doctors were the most effective for evaluation of models: «data on cause of visit», «data on sexual partners» and «data on past STIs in women» (p<0.001); «sensitivity» and «specificity» diagnostic criteria (p<0.05) due to the advantage of implementing the multi-primer molecular biological test (NCMT). Patient management using patient models resulted in a 37.5% increase in the detection of extragenital forms of STIs, accuracy in diagnosing vaginal infections caused by opportunistic pathogens in 51% of women and a 67% increase in the coverage of patients’ sexual partners examination. Conclusion. The implementation of new model-based patient management technology significantly improves the effectiveness of medical care delivery to patients with STIs and/or concomitant urogenital diseases.