Vycke Yunivita Kusumah DewiTidak ada Data DosenNANDA ASSYIFA APRILIANA2024-06-112024-06-112023-02-18https://repository.unpad.ac.id/handle/kandaga/130110190252Background: Antibiotics are the most prescribed drugs, however, as much as 50% of these prescriptions are actually unnecessary. This influences the increasing incidence of antibiotic resistance. The potential for surgical site infections cases in surgery increases and has an impact on many aspects.7 The threat of antibiotic resistance must be intervened, one of which is to analyze the rationality of empirical antibiotic usage by Gyssens criteria and clinical features outcome based on antibiotic given. Methods: This research is a descriptive study with a cross-sectional design. The subjects of this study used secondary data from medical records in digestive surgery inpatients who received empirical antibiotic therapy post-surgery in the period of July to September 2021 in Hasan Sadikin General Hospital, Indonesia. The data were analyzed using Gyssens criteria. Results: A total of 70 empirical antibiotics prescriptions obtained from 42 patients. Data analyzed with Gyssens criteria shows 28 (40%) rational use of antibiotics. The rest are irrational use categories as much as 23% in category V, 20% in category IVa, 5.7% in category IIIa, 7.1% in category IIIb, and 4,3% in category IIb. Clinical features show no fever, edema and erythema found after administration of metronidazole, ceftriaxone and cefixime antibiotics. However, clinical features of exudate/pus in two patients persisted after administration of metronidazole (2.9%), cefixime (1.4%) and ceftriaxone (1.4%). Conclusions: This study showed 40% rational use of empirical antibiotic. Increasing practitioners training effectiveness and evaluating antibiotic usage with Gyssens method regularly will be beneficial on clinical features outcomes and upcoming bacterial resistance.AntibioticEmpiricGyssens methodRationality of Empirical Antibiotic Usage in Digestive Surgery Inpatients at Hasan Sadikin General Hospital, Indonesia: Gyssens criteria analysis