Evidence map›Paper›PMID 41291805›Full record

ArticleEuropean journal of medical research2025

Application of PDCA cycle management in the rational use of perioperative antimicrobial prophylaxis in orthopedic clean surgery.

Ya-Ni Chai, Xiao-Bin An, Jing Xue, Bo-Yang Zhou, Ya-Juan Shi, Nan Wang

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ya-Ni Chai *Department of Pharmacy, Medical Security Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Xiao-Bin An *Department of Pharmacology (The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), National Key Laboratory of Harbin Medical University, Harbin, 150086, Heilongjiang, China.
Jing XueDepartment of Pharmacy, Medical Security Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Bo-Yang ZhouDepartment of Pharmacy, Medical Security Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Ya-Juan ShiDepartment of Pharmacy, Medical Security Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.
Nan WangDepartment of Pharmacy, Medical Security Center, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China. wingswing2000@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimal antimicrobial prophylaxis has been demonstrated to reduce the incidence of surgical site infections (SSIs). The PDCA cycle management approach has been extensively adopted in the healthcare industry. The objective of this study is to examine the impact of PDCA cycle management on the rational use of perioperative antimicrobial prophylaxis in orthopedic clean surgeries.

methodsFollowing a thorough evaluation of the antibiotic prescription practices for patients undergoing orthopedic clean surgeries at the hospital during the initial three-month period of 2023, a series of pertinent measures were devised and initiated as a dynamic intervention from April 2023 to February 2024. The rationality of perioperative prophylactic antimicrobial use and clinical outcomes were compared before and after the intervention.

resultsThe irrational use of perioperative prophylactic antibiotics was significantly reduced. It is mainly reflected in the utilization of surgical antibiotic prophylaxis [94.7% vs. 84.8%, p < 0.001, 95% CI (1.753,6.851)], inappropriate prophylaxis [68.7% vs. 47.3%, p < 0.001,95% CI (0.276,0.595)], unindicated prophylaxis [18.0% vs. 2.9%, p < 0.001,95% CI (0.045,0.273)], inappropriate drug selection [13.3% vs. 2.9%, p < 0.001, 95% CI (0.057,0.413)], and inappropriate intraoperative redosing [1.7% vs. 0%, p = 0.024,95% CI (0.964,0.996)]. In addition, the rate of inappropriate dosage [1.3% vs. 0%, p = 0.120, 95% CI (0.971,0.996)], inappropriate timing [3.9% vs. 1.7%, p = 0.146,95% CI (0.092,1.463)], and inappropriate postoperative antibiotic switching [0.4% vs. 0%, p = 0.494,95% CI (0.984,0.996)] were also decreased. However, the rate of inappropriate prophylaxis duration [42.1% vs. 42.3%, p = 0.965, 95% CI (0.680, 1.462)] and combination treatment [1.3% vs. 7.1%, p = 0.002, 95% CI (2.052, 23.292)] increased. With regard to clinical outcomes, the length of stay[15(10) to 13(7), p = 0.012, 95% CI(0.000,3.000)], hospitalization expenses[50244.96(53,376.00) to 41,539.92(31,809.94), p = 0.01, 95% CI (2157.160, 15,935.620)], medication costs[4326.215(3672.48) to 3272.17(2885.15), p < 0.001, 95% CI (498.170, 1745.440)], antibiotic costs [274.435(351.89) to 219.12(239.04), p = 0.004, 95% CI (19.920,119.520)], and other perioperative infections rates [46.3% to 26.4%, p < 0.001, 95% CI (1.427,4.090)] all decreased significantly after the intervention.

conclusionThe PDCA cycle management strategy was found to be an effective method of optimizing the rational use of perioperative prophylactic antibiotics and clinical outcomes in orthopedic clean surgeries. Nevertheless, this approach is encumbered by time-sensitive limitations, and its intervention effects are challenging to sustain over an extended period, thus necessitating further refinement.

Indexed as

Anti-Bacterial AgentsAntibiotic ProphylaxisOrthopedic ProceduresPerioperative CareQuality ImprovementSurgical Wound InfectionAdolescentAdultAgedAged, 80 and overAntimicrobial StewardshipChildDrug CostsDrug PrescriptionsFemaleHospital CostsAnti-Bacterial AgentsAntimicrobial prophylaxisClean surgeryOrthopedicPDCA cycle management

Identifiers

PMID41291805
PMCPMC12648877

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.