Efficiency of software for personalized antibiotic prescription in surgical dentistry
- Authors: Kvashnin D.V.1, Kharitonov D.Y.1, Kumirova O.A.1, Shcherbinin A.S.1
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Affiliations:
- N.N. Burdenko Voronezh State Medical University Ministry of Health of Russia
- Issue: Vol 36, No 12 (2025)
- Pages: 43-46
- Section: Health Care Service
- URL: https://journals.rcsi.science/0236-3054/article/view/365675
- DOI: https://doi.org/10.29296/25877305-2025-12-09
- ID: 365675
Cite item
Abstract
A prospective randomized controlled study was conducted to evaluate the effectiveness of specialized software for personalizing antibiotic therapy in dental practice. The study involved 35 specialists (20 practicing dentists and 15 residents), divided into the main (n=20) and control (n=15) groups. The main group received access to the Sanford Guide software and completed a master class on its use, the control group received standard training. The assessment was carried out before and 3 months after the intervention using the KAP questionnaire, clinical scenario analysis, and the antibiotic therapy personalization index (IP). The results showed a significant superiority of the main group over the control group in all parameters: the total CAP score increased by 7.8±2.0 against 3.4±1.4 (p < 0.001), the IP increased from 3.8±1.1 to 8.7±0.9 in the main group and from 3.6±1.2 to 5.4±1.0 in the control group (p < 0.001). The greatest differences were found in the components of individualization of dosages and accounting for drug interactions. A strong positive correlation was established between the IP and the quality of solving clinical scenarios (r = 0.78, p < 0.001). The participants highly rated the use of the program (4.6 points on a 5-point scale), 95% noted its significant help in making effective decisions, 85% expressed the intention to continue using it. The results of the study confirm that the use of specialized software significantly improves the quality of personalization of antibiotic therapy in dentists and can serve as an effective tool for containing antibiotic resistance.
About the authors
D. V. Kvashnin
N.N. Burdenko Voronezh State Medical University Ministry of Health of Russia
Author for correspondence.
Email: stomdk@yandex.ru
Russian Federation, Voronezh
D. Yu. Kharitonov
N.N. Burdenko Voronezh State Medical University Ministry of Health of Russia
Email: stomdk@yandex.ru
ORCID iD: 0000-0002-6649-0562
SPIN-code: 4266-4181
MD, Professor
Russian Federation, VoronezhO. A. Kumirova
N.N. Burdenko Voronezh State Medical University Ministry of Health of Russia
Email: stomdk@yandex.ru
SPIN-code: 9207-6779
Candidate of Medical Sciences
Russian Federation, VoronezhA. S. Shcherbinin
N.N. Burdenko Voronezh State Medical University Ministry of Health of Russia
Email: stomdk@yandex.ru
ORCID iD: 0000-0002-6733-2726
SPIN-code: 9923-1025
Candidate of Medical Sciences
Russian Federation, VoronezhReferences
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