American journal of infection control最新文献_第7页

Closing the gap on infection prevention staffing recommendations: Results from the beta version of the APIC staffing calculator 缩小感染预防人员配备建议方面的差距：APIC 人员配置计算器测试版的结果。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-10-10 DOI: 10.1016/j.ajic.2024.09.004

Rebecca Bartles DrPH, MPH, CIC, FAPIC , Sara Reese PhD, MPH, CIC, FAPIC , Alexandr Gumbar SA, CSM, MCSE

{"title":"Closing the gap on infection prevention staffing recommendations: Results from the beta version of the APIC staffing calculator","authors":"Rebecca Bartles DrPH, MPH, CIC, FAPIC , Sara Reese PhD, MPH, CIC, FAPIC , Alexandr Gumbar SA, CSM, MCSE","doi":"10.1016/j.ajic.2024.09.004","DOIUrl":"10.1016/j.ajic.2024.09.004","url":null,"abstract":"<div><h3>Background</h3><div>Published literature suggests “one-size-fits-all\" infection prevention and control (IPC) staffing recommendations do not sufficiently account for program complexity needs. This project's objective was to create and validate a calculator utilizing risk and complexity factors to generate individualized IPC staffing ratios.</div></div><div><h3>Methods</h3><div>An online survey-based calculator was created that incorporated factors intended to predict staffing needs and multiple investigative questions to allow for optimization of factors in the algorithm. Hospital characteristics, staffing ratios, staffing perception, and outcomes were analyzed to determine the optimal questions and benchmarks for future releases.</div></div><div><h3>Results</h3><div>The median infection preventionist full-time equivalent to bed ratio was 121.0 beds for 390 participating hospitals. The calculator deemed 79.2% of respondent staffing as below expected. Significant association existed between higher standard infection ratio ranges and staffing status for central line-associated bloodstream infection (<em>P</em> = .02), catheter-associated urinary tract infections (<em>P</em> = .001), <em>Clostridioides difficile</em> infections (<em>P</em> = .003), and colon surgical site infections (<em>P</em> = .0001).</div></div><div><h3>Conclusions</h3><div>This novel approach allows facilities to staff their IPC program based on individual factors. Future versions of the calculator will be optimized based on the findings. Future research will clarify the impact of staffing on patient outcomes and staff retention.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"52 12","pages":"Pages 1345-1350"},"PeriodicalIF":3.8,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142456029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and implementation of learning collaboratives for infection prevention and control education in long-term care facilities. 长期护理机构感染预防与控制教育学习合作组织的发展与实施。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-10-05 DOI: 10.1016/j.ajic.2024.09.021

Cindy Prins, Mishal Khan, Nicole M Marlow, Avery Bollinger, Cassandra L Johnson, Jamie L Pomeranz, Sally M Bethart, Kartikeya Cherabuddi, Ann L Horgas, Veena Venugopalan, Duzgun Agdas, Chang-Yu Wu, Antarpreet Singh Jutla, Argentina Charles, F Lee Revere

引用次数: 0

Atmospheric CO₂ monitoring to identify zones of increased airborne pathogen transmission risk in hospital settings. 通过大气二氧化碳监测来确定医院环境中空气传播病原体风险增加的区域。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-10-05 DOI: 10.1016/j.ajic.2024.10.001

Andrew P Shoubridge, Amanda Brass, Levi Elms, Sarah K Sims, Angela Anderson, Dylan Mordaunt, Maria Crotty, Lito E Papanicolas, Steven L Taylor, Geraint B Rogers

引用次数: 0

Prevalence of bacteremia and antimicrobial resistance pattern among patients in South Lebanon. 黎巴嫩南部患者菌血症流行情况和抗菌药耐药性模式。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-10-05 DOI: 10.1016/j.ajic.2024.09.023

Zahra Hnaineh, Elie Salem Sokhn

{"title":"Prevalence of bacteremia and antimicrobial resistance pattern among patients in South Lebanon.","authors":"Zahra Hnaineh, Elie Salem Sokhn","doi":"10.1016/j.ajic.2024.09.023","DOIUrl":"10.1016/j.ajic.2024.09.023","url":null,"abstract":"<p><strong>Background: </strong>Bacteremia is a leading cause of morbidity and mortality worldwide. Rising prevalence and antimicrobial resistance (AMR) are critical public health issues. This study aims to determine the prevalence of bacteremia and the AMR pattern among patients in South Lebanon.</p><p><strong>Methods: </strong>A cross-sectional study analyzed 76 positive blood cultures from Hammoud and Labib Hospitals in South Lebanon between September 2023 and March 2024. The phenotype and antimicrobial susceptibility of gram-positive and gram-negative were determined by using disk diffusion. Genotypically, polymerase chain reaction was used to detect the carbapenemase-resistant Enterobacterales (CRE), extended-spectrum β-lactamases (ESBL), and methicillin-resistant Staphylococcus aureus genes.</p><p><strong>Results: </strong>Out of 76 isolates, 38 (50%) were gram-positive and 38 (50%) were gram-negative. Escherichia coli was the most common among gram-negative (18. 42%), with 10.52% ESBL and 3.94% CRE. Staphylococcus coagulase negative was the most common among gram-positive (40.78%), followed by Staphylococcus aureus (6.57%), with 3.94% methicillin-resistant S. aureus. The prevalent ESBL gene was CTX-M (100%), and for the CRE, NDM (66.66%) was the most common gene. Regarding S. aureus, 66.66% were mecA.</p><p><strong>Discussion: </strong>The diverse bacteremia isolates and resistance genes in South Lebanon reflect global variability in incidence and resistance profiles.</p><p><strong>Conclusions: </strong>High rates of bacteremia and AMR in South Lebanon underscore the need for effective antibiotic stewardship programs.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142387291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Infection control nursing competency model for nurses in intensive care units: A Delphi study. 重症监护病房护士感染控制护理能力模型：德尔菲研究。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-10-04 DOI: 10.1016/j.ajic.2024.09.022

Eun Jo Kim, JaHyun Kang

{"title":"Infection control nursing competency model for nurses in intensive care units: A Delphi study.","authors":"Eun Jo Kim, JaHyun Kang","doi":"10.1016/j.ajic.2024.09.022","DOIUrl":"10.1016/j.ajic.2024.09.022","url":null,"abstract":"<p><strong>Background: </strong>Intensive care unit (ICU) nurses require advanced expertise and skills in critical care and need infection control nursing competency (ICNC). Given the lack of research on it, this study aimed to develop a model of ICU nurses' ICNC.</p><p><strong>Methods: </strong>A Delphi panel consisting of experts in intensive care nursing and infection control was organized to provide discerning and professional perspective on ICNC. Approved by the Institutional Review Board, a 3-round Delphi survey was conducted via email from July to December 2023. The content validity ratio and the coefficient of variation were calculated for panel responses.</p><p><strong>Results: </strong>Among 17, 15 nurses (88.2%) participated and completed the surveys. About 80% were female, and the panel had an average working experience of 14.2years specifically in the ICUs or infection control departments at hospitals. After the initial round, a preliminary model was developed, consisting of 10 main components and 59 subelements. After eliminating 5 elements with content validity ratio values below 0.49 in the second survey, the final model, consisting of 10 main components and 54 subelements, was confirmed in the third survey.</p><p><strong>Conclusions: </strong>ICU nurses' ICNC can be understood based on this study's results, and further research can be designed to improve this competency.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spine surgical site infection outcome with preoperative application of a presaturated 10% povidone-iodine nasal decolonization product in a 32-bed surgical hospital. 在一家拥有 32 张病床的外科医院，术前使用 10%聚维酮碘鼻腔去菌产品对脊柱手术部位感染的疗效。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-10-01 DOI: 10.1016/j.ajic.2024.09.016

Patti S Grant, Caitlin Crews-Stowe

{"title":"Spine surgical site infection outcome with preoperative application of a presaturated 10% povidone-iodine nasal decolonization product in a 32-bed surgical hospital.","authors":"Patti S Grant, Caitlin Crews-Stowe","doi":"10.1016/j.ajic.2024.09.016","DOIUrl":"10.1016/j.ajic.2024.09.016","url":null,"abstract":"<p><strong>Background: </strong>To pursue an irreducible minimum overall surgical site infection (SSI) rate, a 32-bed surgical hospital employed an outside consultant and performed sterile processing and surgery internal audits: No obvious improvements were identified. A 10-year review determined that 70% of SSI's were spine procedure patients. After a nasal decolonization product literature review, an intervention was implemented. The purpose of this study was to assess if the intervention impacted spine SSI rates.</p><p><strong>Methods: </strong>A 36-month implementation science study was conducted. The 18-month intervention was the immediate preoperative application of a manufactured presaturated 10% povidone-iodine nasal decolonization product in spine surgery patients, with monthly product application documentation surveillance feedback to the preoperative staff. Chi-square test was used to determine the difference in types of spine SSI surgery rates pre and post intervention.</p><p><strong>Results: </strong>Overall spine SSI decreased 35.7% (P = .04) with a 58.7% reduction in superficial incisional SSI (P = .02). The 16.1% decline in deep incisional SSI was not significant (P = .29).</p><p><strong>Conclusions: </strong>Within this hospital, conducting 7,576 surgical spine procedures over 36 months, with the immediate preoperative application of a presaturated 10% povidone-iodine nasal decolonization product, the only intervention in SSI prevention protocol, produced a statistically significant decrease in spine patient SSI rate percent.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142370757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Total outward leakage of face-worn products used by the general public for source control. 公众使用的面戴式源头控制产品向外泄漏总量。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-09-29 DOI: 10.1016/j.ajic.2024.09.020

Weihua Yang, Warren Myers, Mike Bergman, Edward Fisher, Kenneth J Ryan, Brooke Vollmer, Lee Portnoff, Ziqing Zhuang

{"title":"Total outward leakage of face-worn products used by the general public for source control.","authors":"Weihua Yang, Warren Myers, Mike Bergman, Edward Fisher, Kenneth J Ryan, Brooke Vollmer, Lee Portnoff, Ziqing Zhuang","doi":"10.1016/j.ajic.2024.09.020","DOIUrl":"10.1016/j.ajic.2024.09.020","url":null,"abstract":"<p><strong>Background: </strong>During Coronavirus disease 2019 pandemic, the general public used any face-worn products they could get to overcome the shortage of N95 respirators and surgical masks. These products, often not meeting any standards, raised concerns about their effectiveness in reducing the spread of respiratory viruses.</p><p><strong>Methods: </strong>This study quantified total outward leakage (TOL) of units from 9 face-worn product categories used by members of the general public. A benchtop system was devised to test 2 units from each category on 2 different-sized headforms with silicone elastomer skin. Each unit was donned 5 times per headform.</p><p><strong>Results: </strong>Both face-worn product category and headform size significantly affected TOL (P value < .05). The TOL of tested face-worn products varied from 10% to 58% depending on both model and headform size. Face-worn products donned on the medium headform had a higher mean TOL compared to those donned on the larger headform.</p><p><strong>Conclusions: </strong>Overall, single-layer cloth masks are the least effective measure for source control due to their highest TOL among the tested face-worn products. Three-layer disposable face masks may be a favorable option for source control among the public. A standard should be developed for face-worn product design and manufacturing to accommodate different facial sizes.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142339278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ralstonia mannitolilytica infection in a tertiary care center: An outbreak report. 一家三级医疗中心发生的甘露醇杆菌感染：疫情报告。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-09-27 DOI: 10.1016/j.ajic.2024.09.019

Sabah Alshuhri, Aeshah Alosaimi, Khaled Alnafee, Jalwa Alkahtany, Saud Alhamami, Bader Hejazi, Briehan Khier, Shahd Aoqailey, Bander Alrshaid, Fatimah Alghnnam, Marie Bohol, Saltana Alhowaiti, Zenab Aldhlawi, Sahar Althawadi, Salem Alghamdi, Suliman Aljumaah

{"title":"Ralstonia mannitolilytica infection in a tertiary care center: An outbreak report.","authors":"Sabah Alshuhri, Aeshah Alosaimi, Khaled Alnafee, Jalwa Alkahtany, Saud Alhamami, Bader Hejazi, Briehan Khier, Shahd Aoqailey, Bander Alrshaid, Fatimah Alghnnam, Marie Bohol, Saltana Alhowaiti, Zenab Aldhlawi, Sahar Althawadi, Salem Alghamdi, Suliman Aljumaah","doi":"10.1016/j.ajic.2024.09.019","DOIUrl":"10.1016/j.ajic.2024.09.019","url":null,"abstract":"<p><strong>Background: </strong>This paper describes an outbreak of Ralstonia mannitolilytica infection declared at our facility between January-2021 and January-2022.</p><p><strong>Methods: </strong>To identify the source of the outbreak, we applied widespread epidemiological investigations and infection control measures, including device isolation, environmental sampling, and pulsed-field gel electrophoresis typing.</p><p><strong>Results: </strong>Thirty-six cases of R mannitolilytica infection were identified, mostly adults (78%) and males (75%). Initially, neurological procedures were a common risk factor among cases, leading to sampling of related environmental settings. Cases with other medical procedures started to be reported. The pulsed-field gel electrophoresis results showed most R mannitolilytica isolates were indistinguishable, which expanded our investigation to all hospital areas. The outbreak source was traced to a specific lot of contaminated sodium chloride solution, which was recalled from all hospital units. The findings were reported to the Saudi Food and Drug Authority to communicate with the manufacturer and other health care organizations involved. No new cases of R mannitolilytica were identified thereafter.</p><p><strong>Conclusions: </strong>It is essential to regularly monitor the compliance of manufacturers and suppliers with regulations related to the safety of solutions administered in medical practice. An extended incubation period might be considered to enhance the identification of R. mannitolilytica in future outbreaks.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142339277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating residents' rights and infection prevention in nursing homes: Summary of the Infection Control Advocate and Resident Education (ICARE) learning modules pilot for long-term care ombudsmen, residents, and other nursing home advocates. 将居民权利与养老院感染预防相结合：针对长期护理监察员、居民和其他养老院倡导者的感染控制倡导者和居民教育（ICARE）学习模块试点总结。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-09-21 DOI: 10.1016/j.ajic.2024.09.013

Diana Cervantes, Brittany Krenek, Sarah Ross, Janice A Knebl

引用次数: 0

Integration of an electronic hand hygiene auditing system with electronic health records using machine learning to predict hospital-acquired infection in a health care setting. 利用机器学习将电子手部卫生审核系统与电子健康记录整合，预测医疗机构中的医院感染。

IF 3.8 3区医学

American journal of infection control Pub Date : 2024-09-21 DOI: 10.1016/j.ajic.2024.09.012

André Luís Franco Cotia, Anderson Paulo Scorsato, Elivane da Silva Victor, Marcelo Prado, Guilherme Gagliardi, José Edgar Vieira de Barros, José R Generoso, Fernando Gatti de Menezes, Mariana Kim Hsieh, Gabriel O V Lopes, Michael B Edmond, Eli N Perencevich, Michihiko Goto, Sérgio B Wey, Alexandre R Marra

{"title":"Integration of an electronic hand hygiene auditing system with electronic health records using machine learning to predict hospital-acquired infection in a health care setting.","authors":"André Luís Franco Cotia, Anderson Paulo Scorsato, Elivane da Silva Victor, Marcelo Prado, Guilherme Gagliardi, José Edgar Vieira de Barros, José R Generoso, Fernando Gatti de Menezes, Mariana Kim Hsieh, Gabriel O V Lopes, Michael B Edmond, Eli N Perencevich, Michihiko Goto, Sérgio B Wey, Alexandre R Marra","doi":"10.1016/j.ajic.2024.09.012","DOIUrl":"10.1016/j.ajic.2024.09.012","url":null,"abstract":"<p><strong>Background: </strong>Hospital-acquired infections (HAIs) increase morbidity, mortality, and health care costs. Effective hand hygiene (HH) is crucial for prevention, but achieving high compliance remains challenge. This study explores using machine learning to integrate an electronic HH auditing system with electronic health records to predict HAIs.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted at a Brazilian hospital during 2017-2020. HH compliance was recorded electronically, and patient data were collected from electronic health records. The primary outcomes were HAIs per CDC/National Healthcare Safety Network surveillance definitions. Machine learning algorithms, balanced with Random Over Sampling Examples (ROSE), were utilized for predictive modeling, including generalized linear models (GLM); generalized additive models for location, scale, and shape (GAMLSS); random forest; support vector machine; and extreme gradient boosting (XGboost).</p><p><strong>Results: </strong>125 of 6,253 patients (2%) developed HAIs and 920,489 HH opportunities (49.3% compliance) were analyzed. A direct correlation between HH compliance and HAIs was observed. The GLM algorithm with ROSE demonstrated superior performance, with 84.2% sensitivity, 82.9% specificity, and a 93% AUC.</p><p><strong>Conclusions: </strong>Integrating electronic HH auditing systems with electronic health records and using machine learning models can enhance infection control surveillance and predict patient outcomes. Further research is needed to validate these findings and integrate them into clinical practice.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142306962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0