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The Construction of a Decision-Making Evaluation System for Clostridium difficile Management Based on AHP and FCE

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Abstract Objective To master the current status of Clostridium difficile management in medical institutions and provide a scientific basis for establishing intervention strategies by constructing a decision-making support and evaluation system for Clostridium difficile management. Methods From August 1, 2024 to March 31, 2025, multiple research methods including literature review, expert consultation, Analytic Hierarchy Process (AHP), and Fuzzy Comprehensive Evaluation (FCE) were employed.All research methods adhere to the expert method principle, and the professional version of yaahp 12.12 was used as the analysis software. All research protocols have been approved by the Ethics Committee of Chengdu Fifth People's Hospital. Informed consent forms have been obtained from all research subjects themselves[Ethics Approval No.: Lunshen 2023-016 (Sci.)-01]. Results The weights of first-level indicators in descending order were: Isolation and Treatment (0.3215), Cleaning and Disinfection (0.2466), System Requirements (0.1437), Training and Education (0.0979), Special Identification (0.0789), Monitoring (0.0696), and Material Preparation (0.0418). The top 5 second-level indicators by weight were: Single-room isolation or cohort isolation of patients (0.1610), Specialized training for cleaning staff responsible for bed unit environmental disinfection (with qualification required before taking office) (0.1076), Strict grouping and fixation of nursing staff for Clostridium difficile patients (0.0832), Clostridium difficile screening for high-risk patients (0.0730), and Implementation of corresponding disinfection levels for reusable instruments based on risk assessment (0.0567). Conclusion This decision-making support system enables hospital administrators to understand the status of Clostridium difficile management, contributes to optimizing resource allocation and establishing dynamic intervention measures, and is worthy of promotion and application.
Title: The Construction of a Decision-Making Evaluation System for Clostridium difficile Management Based on AHP and FCE
Description:
Abstract Objective To master the current status of Clostridium difficile management in medical institutions and provide a scientific basis for establishing intervention strategies by constructing a decision-making support and evaluation system for Clostridium difficile management.
Methods From August 1, 2024 to March 31, 2025, multiple research methods including literature review, expert consultation, Analytic Hierarchy Process (AHP), and Fuzzy Comprehensive Evaluation (FCE) were employed.
All research methods adhere to the expert method principle, and the professional version of yaahp 12.
12 was used as the analysis software.
All research protocols have been approved by the Ethics Committee of Chengdu Fifth People's Hospital.
Informed consent forms have been obtained from all research subjects themselves[Ethics Approval No.
: Lunshen 2023-016 (Sci.
)-01].
Results The weights of first-level indicators in descending order were: Isolation and Treatment (0.
3215), Cleaning and Disinfection (0.
2466), System Requirements (0.
1437), Training and Education (0.
0979), Special Identification (0.
0789), Monitoring (0.
0696), and Material Preparation (0.
0418).
The top 5 second-level indicators by weight were: Single-room isolation or cohort isolation of patients (0.
1610), Specialized training for cleaning staff responsible for bed unit environmental disinfection (with qualification required before taking office) (0.
1076), Strict grouping and fixation of nursing staff for Clostridium difficile patients (0.
0832), Clostridium difficile screening for high-risk patients (0.
0730), and Implementation of corresponding disinfection levels for reusable instruments based on risk assessment (0.
0567).
Conclusion This decision-making support system enables hospital administrators to understand the status of Clostridium difficile management, contributes to optimizing resource allocation and establishing dynamic intervention measures, and is worthy of promotion and application.

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