ArticleFrontiers in public health2025
Use of multiple metrics and clustering analysis to assess antimicrobial use in Shanxi hospitals, China: a cross-sectional study based on 25 general hospitals.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Combating Antimicrobial Resistance: A Pharmacist-Led PDCA Stewardship Program in a Tertiary Hospital.Infection and drug resistance · 2026Article
- The overuse of antimicrobials during the COVID-19 pandemic: data from 25 general hospitals in Shanxi, China.BMC infectious diseases · 2025Article
- Evaluation of standard use of intravenous infusion in 25 general hospitals in Shanxi province based on factor analysis and cluster analysis.Frontiers in pharmacology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the current patterns of antimicrobial use among nonsurgical inpatients across 25 general hospitals in Shanxi Province and to evaluate the antimicrobial use rate, antimicrobial use density (AUD), days of therapy (DOT), length of therapy (LOT), and the application of cluster analysis in monitoring antimicrobial prescribing practices. Methods: This study included 25 general hospitals covering 11 cities in Shanxi Province. In total, 2064 hospitalized nonsurgical patients were evaluated for antimicrobial use between December 1, 2022, and January 31, 2023. Data collected included the proportion of antimicrobial prescriptions, antimicrobial use rate, AUD, DOT, and LOT. Statistical analyses were conducted using IBM SPSS version 21.0. Cluster analysis was employed to categorize the 25 hospitals systematically. Results: Among the hospitals, the antimicrobial utilization rate ranged from 43.00 to 83.33%. The intensity of antimicrobial use ranged from 40DDDs/ 100pd to 98.99DDDs/100pd. DOT values ranged from 380/1000pd to 713/1000pd, while LOT ranged from 425/1000pd to 1,014/1000pd. The top three antimicrobial classes by AUD were third-generation cephalosporins (15.38 DDDs/100pd), quinolones (13.60 DDDs/100pd), and cephalosporins (11.54 DDDs/100pd). The ICU had the highest antimicrobial use rate and AUD-91.67% and 133.28 DDDs/100pd, respectively -and the longest DOT (1,230/1000 pd). The infection department recorded the highest LOT (988/1000pd). In pediatrics, the AUD and DOT were 53.77DDDs/ 100pd and 1,106/1000pd, respectively. The 25 hospitals were grouped into three distinct clusters via cluster analysis. Statistically significant differences in some antimicrobial indicators were observed among the groups ( Conclusion: Across the 25 hospitals, the rate and intensity of antimicrobial use were relatively high in institutions and departments. During the study period, the use of cefoperazone/sulbactam and fluoroquinolones increased. Concurrently, the combined use of AUD and DOT provided complementary perspectives for evaluating antimicrobial consumption, allowing for a more comprehensive understanding of exposure levels across hospitals and departments. Cluster analysis provides valuable insights for identifying patterns into antimicrobial management and usage.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.