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三级医疗保健机构中指纹识别生物识别设备的细菌菌群模式及消毒效果:一项干预性研究。

Pattern of Bacterial Flora and Effect of Disinfection on Fingerprinting Biometric Devices at a Tertiary Care Health Facility: An Interventional Study.

作者信息

Chauhan Mudit, Singh Naresh P, Singh Amit, Sharma Ankita, Jain Pankaj, Pathak Pooja

机构信息

Community Medicine, Baba Raghav Das Medical College, Gorakhpur, IND.

Community Medicine, Uttar Pradesh University of Medical Sciences, Etawah, IND.

出版信息

Cureus. 2024 Jul 17;16(7):e64718. doi: 10.7759/cureus.64718. eCollection 2024 Jul.

DOI:10.7759/cureus.64718
PMID:39156301
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11327956/
Abstract

Introduction Recently, many public and private sector institutions and hospitals have installed biometric fingerprint devices for attendance purposes. This step is taking us toward modernization but biometric devices have their cons and pros; if not sterilized at regular intervals, then it may be a potent cause of transmission of various infections. Many studies have reported the presence of coagulase-negative (CONS), methicillin-resistant (MRSA), , , and others. Aim To study the pattern of bacterial flora and the effect of disinfection on fingerprinting biometric devices at a tertiary care health facility.  Materials and methods A total of 138 biometric devices were used, out of which 105 were frequently (at least 50 uses per day) used and functional. So, 105 samples were collected on day zero (baseline), of which 43 and 62 were from clinical and non-clinical groups, respectively. The devices were disinfected with isopropyl alcohol (w/v 70%) and subsequent samples were taken on day 1 (after 24 hours) and day 7. The samples were collected and transported to the microbiology lab for culture and incubation. Statistical analysis was performed using SPSS software version 25 (IBM Corp., Armonk, NY) employing chi-square, Cochran's Q test, and post hoc test. A p-value ≤0.05 at a 95% confidence interval was considered to be statistically significant. Results At baseline (day 0), bacterial growth was observed in 13 (38%) devices from the clinical group and 10 (20%) from the non-clinical group. After disinfection with 70% isopropyl alcohol, bacterial growth was reduced by 83% on day 1 but increased by 82% on day 7. These changes were statistically significant (p ≤ 0.05). Conclusion The present study concluded the definite presence of bacterial flora on the biometric fingerprint devices which are prone to carry and transmit microorganisms indirectly from person to person. The surface of biometric fingerprinting devices should be disinfected daily. If not possible, it should be done on an average of every third day to control and minimize the transmission of microorganisms.

摘要

引言 最近,许多公共和私营部门机构及医院都安装了生物识别指纹设备用于考勤。这一步骤正引领我们走向现代化,但生物识别设备有其优缺点;如果不定期消毒,那么它可能是各种感染传播的一个潜在原因。许多研究报告了凝固酶阴性菌(CONS)、耐甲氧西林金黄色葡萄球菌(MRSA)等的存在。目的 研究一家三级医疗保健机构中指纹识别生物识别设备上的细菌菌群模式以及消毒对其的影响。材料与方法 共使用了138台生物识别设备,其中105台经常使用(每天至少使用50次)且功能正常。因此,在第0天(基线)采集了105个样本,其中43个和62个分别来自临床组和非临床组。用异丙醇(体积分数70%)对设备进行消毒,随后在第1天(24小时后)和第7天采集样本。将样本收集并运送至微生物实验室进行培养和孵育。使用SPSS软件25版(IBM公司,纽约州阿蒙克)进行统计分析,采用卡方检验、 Cochr an Q检验和事后检验。在95%置信区间,p值≤0.05被认为具有统计学意义。结果 在基线(第0天)时,临床组的13台(38%)设备和非临床组的10台(20%)设备观察到细菌生长。用70%异丙醇消毒后,第1天细菌生长减少了83%,但第7天增加了82%。这些变化具有统计学意义(p≤0.05)。结论 本研究得出结论,生物识别指纹设备上确实存在细菌菌群,这些设备容易间接在人与人之间携带和传播微生物。生物识别指纹设备的表面应每天消毒。如果无法做到,应平均每三天进行一次消毒,以控制和尽量减少微生物的传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/716b/11327956/0986b6140b88/cureus-0016-00000064718-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/716b/11327956/0986b6140b88/cureus-0016-00000064718-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/716b/11327956/0986b6140b88/cureus-0016-00000064718-i01.jpg

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