ORIGINAL RESEARCH article
Front. Public Health
Sec. Infectious Diseases: Epidemiology and Prevention
Analysis of the effectiveness of improving the testing rate of pathogenicity specimens prior to the use of antibiotics in Shandong province, 2014-2023
Provisionally accepted
- Shandong Provincial Hospital, Jinan, China
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Objective: To analyse the trend of pathogenic specimen detection rate before antibiotic treatment in inpatients in Shandong Province from 2014 to 2023, and to provide a scientific basis for optimising antibiotic management. Methods: The time of antibiotic use and the time of pathogenic specimen collection for inpatients in each hospital were collected through the hospital information system, the test information system and the mobile care system, and the process data of specimen detection rate were calculated according to different time points, which were the preantibiotic treatment pathogenic detection rate, the detection rate within 12 hours after antibiotic treatment, the detection rate within 24 hours and the detection rate before discharge. Results: The detection rate of preantibiotic therapy pathogenicity specimens among inpatients in Shandong Province from 2014 to 2023 showed an overall increasing trend from 7.67% to 38.38%, while the pre-discharge detection rate increased from 32.84% to 67.48%, both differences were statistically significant (P<0.01). The rate of pathogenicity sent for testing 0-12 hours after antimicrobial drug treatment from 26.74% to 25.10%, and the rate of sending for testing 12-24 hours after antimicrobial drug treatment decreased from 23.96% to 12.18%. Conclusion: The detection rate of preantibiotic therapy pathogenicity specimens among inpatients in Shandong Province showed an increasing trend from 2014 to 2023, but the number of people tested within 12 hours after antibiotic therapy is still high, which needs to be focused on, and reduce the number of specimens submitted for testing within 12 hours by enhancing hospital information systems and increasing training.
Keywords: antibiotics, Pathogenesis, Specimen testing, Information System, Management
Received: 26 Jun 2025; Accepted: 26 Nov 2025.
Copyright: © 2025 Chen, Sun and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Weiguang Li
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