American journal of infection control最新文献

{"title":"Health care workers’ perceptions about infection prevention and control in Latin America","authors":"Valeria Fabre MD ,&nbsp;Carolyn Herzig MPH ,&nbsp;Lucy Anchiraico Galarza CIC ,&nbsp;Bowen Aquiles MD ,&nbsp;Ana Belen Arauz MD ,&nbsp;Maria del Carmen Bangher MD ,&nbsp;Marisa L. Bernan MD ,&nbsp;Sol Burokas MD ,&nbsp;Iris L. Cazali MD ,&nbsp;Angel Colque MD ,&nbsp;Marisabel Comas MD ,&nbsp;Rosa Verónica Contreras MD ,&nbsp;Maria Gabriela Cordoba CIC ,&nbsp;Silvia Mabel Correa CIC ,&nbsp;Gustavo Costilla Campero MD ,&nbsp;Aura Chiroy CIC ,&nbsp;Gabriela De Ascencao MD ,&nbsp;Carlos Cruz García MD ,&nbsp;Cecilia Ezcurra MD ,&nbsp;Leandro Falleroni MD ,&nbsp;Rodolfo E. Quiros MD, MSc, MBA, PhD","doi":"10.1016/j.ajic.2024.10.004","DOIUrl":"10.1016/j.ajic.2024.10.004","url":null,"abstract":"<div><h3>Background</h3><div>Limited information exists regarding health care workers’ (HCWs) perceptions about infection prevention and control (IPC) in Latin America.</div></div><div><h3>Methods</h3><div>We conducted an electronic voluntary anonymous survey to assess HCWs’ perceptions toward IPC in 30 hospitals in Latin America during August to September 2022. Nurses, physicians, and environmental cleaning (EVC) staff were prioritized for recruitment.</div></div><div><h3>Results</h3><div>Overall, 1,340 HCWs completed the survey. Of these, 28% were physicians, 49% nurses, 8% EVC staff, and 15% had “other” roles. Self-compliance with hand hygiene and prevention bundles was perceived to be high by 95% and 89% of respondents, respectively; however, ratings were lower when asked about compliance by their peers (reported as high by 81% and 75%, respectively). Regular training on IPC and access to health care-associated infections (HAI) rates were more limited among physicians than other HCWs (eg, 87% of EVC staff and 45% of physicians reported training upon hiring and thereafter, 60% of nurses and 51% of physicians reported regular access to HAI rate reports).</div></div><div><h3>Conclusions</h3><div>We identified several opportunities to strengthen IPC practices in Latin American hospitals, including improving HCW education and training on IPC and their awareness of HAI rates and compliance with prevention measures.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 222-227"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142455934","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}

{"title":"Infection prevention and control in long-term care facilities in Florida: A needs assessment survey","authors":"Cindy Prins PhD, MPH, CIC, CPH, FSHEA ,&nbsp;Avery E. Bollinger MA ,&nbsp;Cassandra L. Johnson RN, MPH ,&nbsp;Jamie L. Pomeranz PhD, CRC, CLCP ,&nbsp;Sally M. Bethart DNP, APRN, FNP-BC, PHNA-BC, CNE ,&nbsp;Kartikeya Cherabuddi MD, FACP, FIDSA ,&nbsp;Ann L. Horgas PhD, RN, FGSA, FAAN ,&nbsp;Veena Venugopalan PharmD ,&nbsp;Nicole M. Marlow PhD, MSPH ,&nbsp;Duzgun Agdas PhD, PE ,&nbsp;Chang-Yu Wu PhD, MS ,&nbsp;Antarpreet Singh Jutla PhD, MSc, MTech, BTech ,&nbsp;Mishal Khan MHA ,&nbsp;Argentina Charles MPH, CIC ,&nbsp;A.C. Burke MA,CIC ,&nbsp;F. Lee Revere PhD, MS","doi":"10.1016/j.ajic.2024.10.008","DOIUrl":"10.1016/j.ajic.2024.10.008","url":null,"abstract":"<div><h3>Background</h3><div>Although several surveys of infection prevention and control (IPC) practices have been conducted in the United States, none have focused on the state of Florida, which has the fourth-largest number of certified nursing facilities in the country. A needs assessment survey was conducted to better understand the specific needs and practices of individuals responsible for IPC in long-term care facilities (LTCFs) in Florida.</div></div><div><h3>Methods</h3><div>In November and December of 2022, a 90-question online survey was distributed to individuals responsible for IPC activities at 3,690 LTCFs in Florida. After omitting incomplete responses, 304 survey responses were analyzed using descriptive statistics.</div></div><div><h3>Results</h3><div>Survey responses regarding hand hygiene, sharps safety, and staff training reflect compliance with recommended IPC practices. Staffing shortages for registered nurses, licensed practical nurses, and certified nursing assistants were high among respondents (30%), while few reported shortages of personal protective equipment (5%). Only 11% of respondents state their facility requires flu vaccines, despite the high-risk environment of LTCFs. Concerning the built environment, the results suggest infection preventionists have limited awareness of the scope of heating, ventilation, and air conditioning systems in their facilities.</div></div><div><h3>Conclusions</h3><div>Some areas of compliance with IPC best practices were noted, but multiple opportunities for education and training on IPC best practices were identified.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 210-221"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142492964","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}

{"title":"Right-sizing expectations for hand hygiene observation collection","authors":"Sara M. Reese PhD, MPH, CIC, FAPIC,&nbsp;Bryan C. Knepper MPH, MS, CIC, FAPIC,&nbsp;Rebecca Crapanzano-Sigafoos DrPH, MPH, CIC, FAPIC","doi":"10.1016/j.ajic.2024.11.017","DOIUrl":"10.1016/j.ajic.2024.11.017","url":null,"abstract":"<div><h3>Background</h3><div>Hand Hygiene (HH) monitoring is essential for patient and staff safety, but the optimal number of observations remains elusive. This project aimed to determine a statistically comparable number below the current standard of 100 to 200 per month per unit.</div></div><div><h3>Methods</h3><div>HH observations from various hospitals were grouped in strata by facility, unit, and month, then resampled into sets of 25, 50, 100, and 150 for comparison with 200. Significant comparisons and confidence interval width differences were calculated. A power analysis, accounting for adherence rates (50%-90%), identified sample sizes needed for significant differences from 200 at the 0.05 level.</div></div><div><h3>Results</h3><div>A total of 873,618 observations across 68 facilities, compared sample sizes (25, 50, 100, 150) to 200, showed 2.6% to 4.3% significant differences at <em>P</em> = .05, with median confidence interval width differences from 0.05% to 0.68%. The power analysis showed required percentage differences for significance at <em>P</em> = .05 ranged from 7.8% (150 vs 200 at 90% HH adherence) to 30% (25 vs 200 at 50% adherence).</div></div><div><h3>Conclusions</h3><div>The findings suggest hospitals could reduce HH observations to 50 per unit per month without affecting data quality even at lower adherence. It is recommended that standards shift focus from monitoring (with fewer observations) to training, education, culture, infrastructure, and feedback.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 175-180"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142871096","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}

{"title":"Novel color additive for disinfectant wipes and room cleanliness and turnover time: Correspondence","authors":"Amnuay Kleebayoon PhD ,&nbsp;Viroj Wiwanitkit MD","doi":"10.1016/j.ajic.2024.10.012","DOIUrl":"10.1016/j.ajic.2024.10.012","url":null,"abstract":"","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Page 282"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998632","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}

{"title":"Information for Authors","authors":"","doi":"10.1016/S0196-6553(24)00914-3","DOIUrl":"10.1016/S0196-6553(24)00914-3","url":null,"abstract":"","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages A9-A10"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129707","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}

{"title":"Response to some comments on the efficiency and simulation of Thailand's Chiang Mai University model for COVID-19 mass vaccination hub","authors":"Amornphat Kitro MD, MCTM ,&nbsp;Danuphon Tippong PhD ,&nbsp;Wachiranun Sirikul MD, MSc ,&nbsp;Kriengkrai Srithanaviboonchai MD, MPH","doi":"10.1016/j.ajic.2024.11.003","DOIUrl":"10.1016/j.ajic.2024.11.003","url":null,"abstract":"","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 280-281"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998633","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}

{"title":"APIC Masthead","authors":"","doi":"10.1016/S0196-6553(24)00912-X","DOIUrl":"10.1016/S0196-6553(24)00912-X","url":null,"abstract":"","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Page A7"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128445","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}

{"title":"Efficiency and simulation of Thailand’s Chiang Mai University Model for COVID-19 mass vaccination hub (CMU-MVH model)","authors":"Amornphat Kitro MD, MCTM ,&nbsp;Danuphon Tippong PhD ,&nbsp;Wachiranun Sirikul MD, MSc ,&nbsp;Natthanaphop Isaradech MD ,&nbsp;Apiradee Kosai RN ,&nbsp;Pimprapas Saengoa RN ,&nbsp;Jiraporn Thammasarot RN ,&nbsp;Penprapa Siviroj DrPH ,&nbsp;Chaiy Rungsiyakull PhD ,&nbsp;Kriengkrai Srithanaviboonchai MD, MPH","doi":"10.1016/j.ajic.2024.10.005","DOIUrl":"10.1016/j.ajic.2024.10.005","url":null,"abstract":"<div><h3>Background</h3><div>Mass vaccination is crucial for achieving herd immunity and controlling pandemics. Simulation models predict vaccination outcomes. This study evaluates efficiency and designs a tailored vaccination plan for Thailand.</div></div><div><h3>Methods</h3><div>Data were derived from a coronavirus disease-19 mass vaccination hub in Chiang Mai, Thailand. It was taken between June 2021 and December 2021. The discreet event simulation model is developed in Arena Simulation Enterprise Suite version 14.0.</div></div><div><h3>Results</h3><div>The operational efficiency of Chiang Mai University Mass Vaccination Hub (CMU-MVH) was 1,073 vaccinations per 8 hours with 38 service staff. The average processing times were 2.5 minutes for the registration station, 12.2 minutes for the assessment station, 8.3 minutes for vaccination, and 28.2 minutes for observation. With 100% staff availability and staff utilization ranging from 0.5 to 0.7, the CMU-MVH could handle 180 to 230 vaccinees per hour or 1,227 to 1,527 vaccinees per day. Reduced staff availability leads to an increase in average processing time, especially when staff availability is lower or equal to 60%.</div></div><div><h3>Conclusions</h3><div>The CMU-MVH could handle approximately a thousand vaccinations within 8 working hours. This capability could assist policymakers in developing more effective strategies and planning for future mass vaccinations.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 245-253"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142456032","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}

{"title":"An online educational resource to support infection prevention and control in schools: Results from a pilot study in Missouri","authors":"Janet Haas PhD, RN, CIC ,&nbsp;Devin Jopp EdD, MS ,&nbsp;Benjamen Pringer BS ,&nbsp;India Rose PhD, MPH, CHES ,&nbsp;Alyssa Contreras MPH ,&nbsp;Sarah Conklin PhD ,&nbsp;Chris Smith MHA","doi":"10.1016/j.ajic.2024.11.004","DOIUrl":"10.1016/j.ajic.2024.11.004","url":null,"abstract":"<div><h3>Background</h3><div>The COVID-19 pandemic underscored the need to provide schools with support for implementing infection prevention and control (IPC) measures. The Missouri Department of Health and Senior Services engaged the Association for Professionals in Infection Control and Epidemiology to develop the IPC Toolkit for Missouri Schools to train school-based IPC teams.</div></div><div><h3>Methods</h3><div>A needs assessment was conducted with Missouri school staff and IPC professionals, among other partners. Once the IPC Toolkit was developed, 8 school districts were selected to participate in a pilot program. Pre-/post-surveys and qualitative interviews were conducted to evaluate participants’ experience with the IPC Toolkit.</div></div><div><h3>Results</h3><div>More than half of respondents to the presurvey reported that funding, clear guidance or guidelines, and training are needed to implement IPC practices more efficiently and effectively in schools. Participants in the pilot program agreed that the toolkit was engaging (98.94%), clear (100%), easy to navigate (97.87%), and supported learning (100%).</div></div><div><h3>Discussion</h3><div>The IPC Toolkit helped to increase self-reported knowledge about IPC practices, the confidence to implement IPC practices, the level of importance participants attributed to IPC, and the extent to which participants embraced IPC as a responsibility of their role.</div></div><div><h3>Conclusions</h3><div>This study could help inform the implementation of IPC educational materials for other elementary, middle, and high schools.</div></div>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":"53 2","pages":"Pages 196-202"},"PeriodicalIF":3.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142783940","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}

{"title":"Seasonality of surgical site infection rates across a broad surgical sample and diverse health system.","authors":"Tochi Anioke, Yizhou Fei, Christina M Stuart, Kathryn L Colborn, Garrett L Healy, Adam R Dyas, Michael R Bronsert, William G Henderson, Robert A Meguid","doi":"10.1016/j.ajic.2025.01.018","DOIUrl":"10.1016/j.ajic.2025.01.018","url":null,"abstract":"<p><strong>Background: </strong>Prior data suggest that surgical site infections (SSIs) occur more frequently in warmer months. Although several studies have shown this, most do not adequately account for confounding factors or the non-parametric nature of seasonal trends. This study examined SSI rates across multiple hospitals within a single healthcare system, using previously published statistical models applied to electronic health record (EHR) data.</p><p><strong>Methods: </strong>We retrospectively analyzed all surgeries from 2014 to 2019. Preoperative risk and postoperative probabilities of SSIs were estimated using our Automated Surveillance of Postoperative Infections (ASPIN) models. Observed to expected (O/E) ratios were calculated and plotted by week, with cubic smoothing splines visualizing trends. Seasonality was modeled using generalized linear mixed models with sine and cosine transformations of the week of the year or quadratic transformations as predictors.</p><p><strong>Results: </strong>348,289 surgeries were analyzed. Most SSIs occurred between July and August. The risk-adjusted O/E ratio and postoperative SSI probabilities significantly increased (P < 0.05) during the summer in Region 1, an academic hospital, but not in the other two regions.</p><p><strong>Conclusions: </strong>Our study supports prior work suggesting a summer peak in SSIs but not a distinct July spike. We incorporated novel statistical models to predict preoperative risk and postoperative probability of SSI.</p>","PeriodicalId":7621,"journal":{"name":"American journal of infection control","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143073322","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}