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Published on: August 30, 2018
The Sample Error Pre-Antimicrobial Susceptibility Testing and Its Influencing Factors from the Perspective of
Yuanyang Wu1, Qianning Wang1, Feiyang Zheng1
1School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Abstract:
The overuse of antibiotics remains serious and has led to a dramatic increase in antimicrobial resistance, which poses a significant threat to global public health, although much action has been taken by World Health Organization and countries. As the direct evidence to guide the prescribing of antibiotics, the Antimicrobial Susceptibility Testing (AST) results were biased by sample errors, which was urgent and poorly explored in quality management. This study aimed to analyze sample errors pre-AST and its influencing factors from the perspective of hospital management, to provide evidence for promoting rational antibiotic use and antimicrobial stewardship. A cross-sectional survey of 5963 clinical nurses involved in pathogenic sample collection was conducted in 118 public hospitals in Hubei province, China. Dependent variables were sample errors attributed to resources and technology-oriented, capability-oriented, and attitude-oriented errors, which were measured by times per week. Independent variables were sample management information such as guidelines, record after collection, performance appraisal, training, and publicity activities, in which guidelines, record time, and record method were dummy variables, with 1 indicating having and 0 not. Others were continuous variables ranging from 0 to 4 times per month. Ordinary Least Square regression models were performed to analyze influencing factors on sample error times. The averages of sample errors on resource and technology-oriented, capability-oriented, and attitude-oriented were 1.48, 1.35, and 1.36 times per week, and their proportion were 25.3%, 38.9%, and 35.8%, respectively. The results showed that recording timeliness (r = −0.354, p < 0.01), record using both paper and digital methods(r = −0.060, p < 0.01), performance appraisal(r = −0.188, p < 0.01), and publicity activities (r = −0.186, p < 0.01) significantly reduced times of resource and technology-oriented errors. Performance appraisals(r = −0.171, p < 0.01) and training activities (r = −0.208, p < 0.01) had a positive impact on the reduction of capability-oriented error times. The times of attitude-oriented error decreased significantly when recording timeliness (r = −0.299, p < 0.01), implementing performance appraisal (r = −0.164, p < 0.01), and training activities (r = −0.188, p < 0.01). This study found that there was a high frequency of sample errors in quality management, especially capability-oriented and attitude-oriented errors. Sample information management, performance appraisal, training, and publicity activities were associated with the quality of samples valuable for the rational use of antibiotics.
Insights
Sample errors in pre-Antimicrobial Susceptibility Testing (AST) are frequent, particularly capability and attitude errors. Improving sample information management, performance appraisals, training, and publicity can reduce these errors, supporting rational antibiotic use.
Area of Science:
- Clinical Microbiology
- Hospital Management
- Public Health
Background:
- Antibiotic overuse fuels antimicrobial resistance, a global health threat.
- Antimicrobial Susceptibility Testing (AST) results are crucial for antibiotic prescribing but can be biased by pre-analytical sample errors.
- Quality management of pre-AST sample errors requires further investigation.
Purpose of the Study:
- To analyze the frequency and influencing factors of pre-AST sample errors from a hospital management perspective.
- To provide evidence for promoting rational antibiotic use and antimicrobial stewardship by addressing sample quality.
Main Methods:
- A cross-sectional survey of 5963 nurses in 118 public hospitals in Hubei province, China.
- Ordinary Least Squares regression models were used to analyze factors influencing sample error frequency.
- Sample errors were categorized into resource/technology-oriented, capability-oriented, and attitude-oriented.
Main Results:
- Average sample error rates were 1.48 (resource/technology), 1.35 (capability), and 1.36 (attitude) times per week.
- Recording timeliness, dual recording methods, performance appraisal, and publicity activities reduced resource/technology errors.
- Performance appraisal and training reduced capability errors.
- Recording timeliness, performance appraisal, and training reduced attitude errors.
Conclusions:
- A high frequency of sample errors exists in pre-AST quality management, with capability and attitude errors being most prevalent.
- Effective sample information management, performance appraisals, training, and publicity are key to improving sample quality.
- These improvements are vital for ensuring accurate AST results and promoting rational antibiotic use.
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