ArticleBMC public health2023
Determination and prioritization of factors affecting the occurrence of needle stick injuries among healthcare workers using techniques of Delphi and fuzzy analytical hierarchy process (FAHP).
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Selection of proper artificial intelligence techniques developed for CT scan image analysis of liver cancer using fuzzy AHP-TOPSIS.BMC medical imaging · 2026Article
- Identification and prioritization of physiological and perceptual indicators for heat stress assessment in Iranian labor-intensive industries using Fuzzy Delphi and Fuzzy Analytic Hierarchy Process methods.BMC public health · 2026Article
- Article
- Application of the SWARA-TOPSIS method for prioritizing turnover intention factors among nurses: a case study in an Isfahan hospital, Iran.BMC nursing · 2025Article
- A medical insurance fund operation performance evaluation system under the DRG payment mode reform.Frontiers in public health · 2025Article
- Evaluation of different safety-engineered protection mechanisms of port access needles using a lifelike model of vascular access routes.Frontiers in medical technology · 2025Article
- Analyzing the occupational exposure risks of dental healthcare workers from the perspective of repeated occupational exposure.BMC health services research · 2024Article
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6 authors.
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Abstract
introductionNeedlestick injuries (NSIs) are a major hazard in the workplace for healthcare workers. To prevent these injuries, it is essential to determine the important factors affecting the occurrence of them. This study aimed to identify, classify and prioritize these factors using techniques of Delphi and fuzzy analytical hierarchy process (FAHP).
methodsThis descriptive-analytical study was conducted in 2022. Firstly, the factors affecting the occurrence of needlestick injuries were identified by the literature review. Moreover, the Delphi technique was used to identify the factors. 20 experts (physicians, nurses, and occupational health experts) participated in the steps of the Delphi method. Then, these factors were grouped into six groups. In the next step, the fuzzy analytical hierarchy process (FAHP) was applied to prioritize the factors. For this purpose, the pairwise comparison questionnaire was designed and filled out by 20 experts. Finally, data were analyzed using MATLAB software (version 2018a).
results42 factors (31 factors extracted from the literature review and 11 factors obtained from the Delphi technique) were identified in this study. These factors were categorized into six groups. Based on the results, the relative weight of non-demographic personal factors, tool and technology factors, job factors, organizational factors, demographic personal factors, and environmental factors were computed by 0.200, 0.185, 0.184, 0.157, 0.142, and 0.133, respectively.
conclusionThese results determined the importance of the factors affecting the occurrence of needlestick injuries. These findings can be useful for planning preventive measures.
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