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Sturm L, Flood M, Montoya A, Mody L, Cassone M. Updates on Infection Control in Alternative Health Care Settings. Infect Dis Clin North Am 2021; 35:803-825. [PMID: 34362545 DOI: 10.1016/j.idc.2021.04.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Patients increasingly receive care from a large spectrum of different settings, placing them at risk for exposure to pathogens by many different sources. Each health care environment has its own specific challenges, and thus infection control programs must be tailored to each specific setting. High-turnover outpatient settings may require additional considerations, such as establishing patient triage and follow-up protocols, and broadened cleaning and disinfection procedures. In nursing homes, infection control programs should focus on surveillance for infections and antimicrobial resistance, outbreak investigation and control plan for epidemics, isolation precautions, hand hygiene, staff education, and employee and resident health programs.
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Affiliation(s)
- Lisa Sturm
- Sr. Director-Infection Prevention, Quality, Clinical & Network Services, Ascension, 4600 Edmundson Road, St. Louis, MO 63134, USA
| | - Michelle Flood
- Ascension St John Hospital Detroit, 19251 Mack Avenue Suite 190, Grosse Pointe Woods, MI 48236, USA
| | - Ana Montoya
- East Ann Arbor Geriatrics Center, 4260 Plymouth Road, Room B1337, Ann Arbor, MI 48109, USA
| | - Lona Mody
- East Ann Arbor Geriatrics Center, 4260 Plymouth Road, Room B1337, Ann Arbor, MI 48109, USA; University of Michigan Geriatrics, 300 North Ingalls Street, Room 914, Ann Arbor, MI 48109-2007, USA
| | - Marco Cassone
- Department of Internal Medicine, Michigan Medicine BSRB Building, Room 3023. 109 Zina Pitcher place, Ann Arbor, MI 48109, USA.
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Nelson RE, Goto M, Samore MH, Jones M, Stevens VW, Evans ME, Schweizer ML, Perencevich EN, Rubin MA. Expanding an Economic Evaluation of the Veterans Affairs (VA) Methicillin-resistant Staphylococcus aureus (MRSA) Prevention Initiative to Include Prevention of Infections From Other Pathogens. Clin Infect Dis 2021; 72:S50-S58. [PMID: 33512526 DOI: 10.1093/cid/ciaa1591] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND In October 2007, Veterans Affairs (VA) launched a nationwide effort to reduce methicillin-resistant Staphylococcus aureus (MRSA) transmission called the National MRSA Prevention Initiative. Although the initiative focused on MRSA, recent evidence suggests that it also led to a significant decrease in hospital-onset (HO) gram-negative rod (GNR) bacteremia, vancomycin-resistant Enterococci (VRE), and Clostridioides difficile infections. The objective of this analysis was to evaluate the cost-effectiveness and the budget impact of the initiative taking into account MRSA, GNR, VRE, and C. difficile infections. METHODS We developed an economic model using published data on the rate of MRSA hospital-acquired infections (HAIs) and HO-GNR bacteremia in the VA from October 2007 to September 2015, estimates of the attributable cost and mortality of these infections, and the costs associated with the intervention obtained through a microcosting approach. We explored several different assumptions for the rate of infections that would have occurred if the initiative had not been implemented. Effectiveness was measured in life-years (LYs) gained. RESULTS We found that during fiscal years 2008-2015, the initiative resulted in an estimated 4761-9236 fewer MRSA HAIs, 1447-2159 fewer HO-GNR bacteremia, 3083-3602 fewer C. difficile infections, and 2075-5393 fewer VRE infections. The initiative itself was estimated to cost $561 million over this 8-year period, whereas the cost savings from prevented MRSA HAIs ranged from $165 to $315 million and from prevented HO-GNR bacteremia, CRE and C. difficile infections ranged from $174 to $200 million. The incremental cost-effectiveness of the initiative ranged from $12 146 to $38 673/LY when just including MRSA HAIs and from $1354 to $4369/LY when including the additional pathogens. The overall impact on the VA's budget ranged from $67 to$195 million. CONCLUSIONS An MRSA surveillance and prevention strategy in VA may have prevented a substantial number of infections from MRSA and other organisms. The net increase in cost from implementing this strategy was quite small when considering infections from all types of organisms. Including spillover effects of organism-specific prevention efforts onto other organisms can provide a more comprehensive evaluation of the costs and benefits of these interventions.
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Affiliation(s)
- Richard E Nelson
- Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Michihiko Goto
- Iowa City Veterans Affairs Health Care System, Iowa City, IA.,Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Matthew H Samore
- Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Makoto Jones
- Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Vanessa W Stevens
- Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Martin E Evans
- Veterans Affairs Medical Center, Lexington, Kentucky, USA.,Department of Internal Medicine, University of Kentucky, Lexington, Kentucky, USA.,MRSA/MDRO Program, National Infectious Diseases Service, Veterans Health Administration, Lexington, Kentucky, USA
| | - Marin L Schweizer
- Iowa City Veterans Affairs Health Care System, Iowa City, IA.,Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Eli N Perencevich
- Iowa City Veterans Affairs Health Care System, Iowa City, IA.,Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Michael A Rubin
- Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah, USA.,Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
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3
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Khader K, Thomas A, Stevens V, Visnovsky L, Nevers M, Toth D, Keegan LT, Jones M, Rubin M, Samore MH. Association Between Contact Precautions and Transmission of Methicillin-Resistant Staphylococcus aureus in Veterans Affairs Hospitals. JAMA Netw Open 2021; 4:e210971. [PMID: 33720369 PMCID: PMC7961311 DOI: 10.1001/jamanetworkopen.2021.0971] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 01/16/2021] [Indexed: 12/19/2022] Open
Abstract
Importance The effectiveness and importance of contact precautions for endemic pathogens has long been debated, and their use has broad implications for infection control of other pathogens. Objective To estimate the association between contact precautions and transmission of methicillin-resistant Staphylococcus aureus (MRSA) across US Department of Veterans Affairs (VA) hospitals. Design, Setting, and Participants This retrospective cohort study used mathematical models applied to data from a population-based sample of adults hospitalized in 108 VA acute care hospitals for at least 24 hours from January 1, 2008, to December 31, 2017. Data were analyzed from May 2, 2019, to December 11, 2020. Exposures A positive MRSA test result, presumed to indicate contact precautions use according to the VA MRSA Prevention Initiative. Main Outcomes and Measures The main outcome was the association between contact precautions and MRSA transmission, defined as the relative transmissibility attributed to contact precautions. A contact precaution effect estimate (<1 indicates a reduction in transmission associated with contact precautions) was estimated for each hospital and then pooled over time and across hospitals using meta-regression. Results In this cohort study of 108 VA hospitals, more than 2 million unique individuals had over 5.6 million admissions, of which 14.1% were presumed to have contact precautions with more than 8.4 million MRSA surveillance tests. Pooled estimates found associations between contact precautions and transmission to be stable from 2008 to 2017, with estimated transmission reductions ranging from 43% (95% credible interval [CrI], 38%-48%) to 51% (95% CrI, 46%-55%). Over the entire 10-year study period, contact precautions reduced transmission 47% (95% CrI, 45%-49%), and the intrafacility autocorrelation coefficient estimate was 0.99, suggesting consistent estimates over time within facilities. Larger facilities and those with higher admission screening compliance observed additional reductions in transmission associated with contact precautions (relative rate, 0.84; 95% CI, 0.74-0.96 and 0.74; 95% CI, 0.58-0.96, respectively) compared with smaller facilities and those with lower admission screening compliance. Facilities in the southern US had a smaller transmission reduction attributable to contact precautions (relative rate, 1.14; 95% CI, 1.01-1.28) compared with facilities in other regions in the US. Conclusions and Relevance In this cohort study of adults in VA hospitals, transmissibility of MRSA was found to be reduced by approximately 50% among patients with contact precautions. These results provide an explanation for decreasing acquisition rates in VA hospitals since the MRSA Prevention Initiative.
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Affiliation(s)
- Karim Khader
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Alun Thomas
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Vanessa Stevens
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Lindsay Visnovsky
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - McKenna Nevers
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Damon Toth
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Lindsay T. Keegan
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Makoto Jones
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Michael Rubin
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Matthew H. Samore
- IDEAS Center of Innovation, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, Utah
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
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iTRAQ®-based quantitative proteomics reveals the proteomic profiling of methicillin-resistant Staphylococcus aureus-derived extracellular vesicles after exposure to imipenem. Folia Microbiol (Praha) 2020; 66:221-230. [PMID: 33165807 DOI: 10.1007/s12223-020-00836-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 11/03/2020] [Indexed: 12/11/2022]
Abstract
This study sought to reveal the proteomic profiling of methicillin-resistant Staphylococcus aureus (MRSA)-derived extracellular vesicles (EVs) after exposure to imipenem. The advanced isobaric tags for relative and absolute quantitation (iTRAQ®) proteomic approach were used to analyze the alterations in MRSA-derived EV protein patterns upon exposure to imipenem. A total of 1260 EV proteins were identified and quantified. Among these, 861 differentially expressed exosome proteins (P < 0.05) were found. Multivariate analysis, Gene Ontology (GO) annotation, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were used to analyze the identified proteins. Enrichment analysis of GO annotations indicated that imipenem primarily regulated the metabolic processes in MRSA. The metabolism of differentially expressed proteins was found to be the most significant in the combined analysis of the KEGG pathway analysis. Based on the results from the STRING analysis, 50S ribosomal protein L16 (RplP) and 30S ribosomal protein S8 (RpsH) were involved in the imipenem-induced MRSA-derived EVs. These results provide vital information on MRSA-derived EVs, increasing our knowledge of the proteome level changes in EVs upon exposure to imipenem. Moreover, these results pave the way for developing novel MRSA treatments.
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Wang J, Wang J, Wang Y, Sun P, Zou X, Ren L, Zhang C, Liu E. Protein expression profiles in methicillin-resistant Staphylococcus aureus (MRSA) under effects of subminimal inhibitory concentrations of imipenem. FEMS Microbiol Lett 2019; 366:5570583. [PMID: 31529016 DOI: 10.1093/femsle/fnz195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 09/12/2019] [Indexed: 12/25/2022] Open
Abstract
Imipenem is a beta-lactam antibiotic mainly active against gram-negative bacterial pathogens and also could cause cell wall impairment in methicillin-resistant Staphylococcus aureus(MRSA). However, related antibacterial mechanisms of imipenem on MRSA and mixed infections of MRSA and gram-negative bacteria are relatively poorly revealed. This study was to identify proteins in the MRSA response to subminimal inhibitory concentrations (sub-MICs) of imipenem treatment. Our results showed that 240 and 58 different expression proteins (DEPs) in sub-MICs imipenem-treated S3 (a standard MRSA strain) and S23 (a clinical MRSA strain) strains were identified through the isobaric tag for relative and absolute quantitation method when compared with untreated S3 and S23 strains, respectively, which was further confirmed by multiple reactions monitoring. Our result also demonstrated that expressions of multiple DEPs involved in cellular proliferation, metabolism and virulence were significantly changed in S3 and S23 strains, which was proved by gene ontology annotations and qPCR analysis. Further, transmission electron microscopy and scanning electron microscopy analysis showed cell wall deficiency, cell lysis and abnormal nuclear mitosis on S23 strain. Our study provides important information for understanding the antibacterial mechanisms of imipenem on MRSA and for better usage of imipenem on patients co-infected with MRSA and other multidrug-resistant gram-negative bacteria.
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Affiliation(s)
- Jichun Wang
- Department of Respiratory Medicine, Children's Hospital of Chongqing Medical University, No. 136, Zhongshan 2nd Road, Yuzhong District, Chongqing 400014, China.,Department of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, No. 1, Tongdao North Street, Huimin District, Hohhot, Inner Mongolia 010050, China
| | - Junrui Wang
- Clinical Laboratory, Affiliated Hospital of Inner Mongolia Medical University, No. 1, Tongdao North Street, Huimin District, Hohhot, Inner Mongolia 010050, China
| | - Yanyan Wang
- Clinical Laboratory, Affiliated Hospital of Inner Mongolia Medical University, No. 1, Tongdao North Street, Huimin District, Hohhot, Inner Mongolia 010050, China
| | - Peng Sun
- Pathogen and Immunity Research Center, College of Basic Medicine, Inner Mongolia Medical University, Jinshan Avenue, Hohhot, Inner Mongolia 010110, China
| | - Xiaohui Zou
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention; China CDC, Key Laboratory for Medical Virology, Ministry of Health, Beijing 102206, China
| | - Luo Ren
- Pediatrics Institute, Children's Hospital Chongqing Medical University, No. 136, Zhong Shan 2nd Road, Yuzhong District, Chongqing 400014, China
| | - Chunxia Zhang
- Department of Pediatrics, Affiliated Hospital of Inner Mongolia Medical University, No. 1, Tongdao North Street, Huimin District, Hohhot, Inner Mongolia 010050, China
| | - Enmei Liu
- Pediatrics Institute, Children's Hospital Chongqing Medical University, No. 136, Zhong Shan 2nd Road, Yuzhong District, Chongqing 400014, China
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Jones M, Jernigan JA, Evans ME, Roselle GA, Hatfield KM, Samore MH. Vital Signs: Trends in Staphylococcus aureus Infections in Veterans Affairs Medical Centers - United States, 2005-2017. MMWR-MORBIDITY AND MORTALITY WEEKLY REPORT 2019; 68:220-224. [PMID: 30845116 PMCID: PMC6421970 DOI: 10.15585/mmwr.mm6809e2] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Introduction By 2007, all Department of Veterans Affairs medical centers (VAMCs) had initiated a multifaceted methicillin-resistant Staphylococcus aureus (MRSA) prevention program. MRSA and methicillin-susceptible S. aureus (MSSA) infection rates among VAMC inpatients from 2005 to 2017 were assessed. Methods Clinical microbiology data from any patient admitted to an acute-care VAMC in the United States from 2005 through 2017 and trends in hospital-acquired MRSA colonization were examined. Results S. aureus infections decreased by 43% overall during the study period (p<0.001), driven primarily by decreases in MRSA, which decreased by 55% (p<0.001), whereas MSSA decreased by 12% (p = 0.003). Hospital-onset MRSA and MSSA infections decreased by 66% (p<0.001) and 19% (p = 0.02), respectively. Community-onset MRSA infections decreased by 41% (p<0.001), whereas MSSA infections showed no significant decline. Acquisition of MRSA colonization decreased 78% during 2008–2017 (17% annually, p<0.001). MRSA infection rates declined more sharply among patients who had negative admission surveillance MRSA screening tests (annual 9.7% decline) compared with those among patients with positive admission MRSA screening tests (4.2%) (p<0.05). Conclusions and Implications for Public Health Practice Significant reductions in S. aureus infection following the VAMC intervention were led primarily by decreases in MRSA. Moreover, MRSA infection declines were much larger among patients not carrying MRSA at the time of admission than among those who were. Taken together, these results suggest that decreased MRSA transmission played a substantial role in reducing overall S. aureus infections at VAMCs. Recent calls to withdraw infection control interventions designed to prevent MRSA transmission might be premature and inadvisable, at least until more is known about effective control of bacterial pathogen transmission in health care settings. Effective S. aureus prevention strategies require a multifaceted approach that includes adherence to current CDC recommendations for preventing not only device- and procedure-associated infections, but also transmission of health care–prevalent strains.
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Thomas A, Khader K, Redd A, Leecaster M, Zhang Y, Jones M, Greene T, Samore M. Extended models for nosocomial infection: parameter estimation and model selection. MATHEMATICAL MEDICINE AND BIOLOGY-A JOURNAL OF THE IMA 2018; 35:29-49. [PMID: 29040678 PMCID: PMC6145396 DOI: 10.1093/imammb/dqx010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 08/18/2017] [Indexed: 12/02/2022]
Abstract
We consider extensions to previous models for patient level nosocomial infection in several ways, provide a specification of the likelihoods for these new models, specify new update steps required for stochastic integration, and provide programs that implement these methods to obtain parameter estimates and model choice statistics. Previous susceptible-infected models are extended to allow for a latent period between initial exposure to the pathogen and the patient becoming themselves infectious, and the possibility of decolonization. We allow for multiple facilities, such as acute care hospitals or long-term care facilities and nursing homes, and for multiple units or wards within a facility. Patient transfers between units and facilities are tracked and accounted for in the models so that direct importation of a colonized individual from one facility or unit to another might be inferred. We allow for constant transmission rates, rates that depend on the number of colonized individuals in a unit or facility, or rates that depend on the proportion of colonized individuals. Statistical analysis is done in a Bayesian framework using Markov chain Monte Carlo methods to obtain a sample of parameter values from their joint posterior distribution. Cross validation, deviance information criterion and widely applicable information criterion approaches to model choice fit very naturally into this framework and we have implemented all three. We illustrate our methods by considering model selection issues and parameter estimation for data on methicilin-resistant Staphylococcus aureus surveillance tests over 1 year at a Veterans Administration hospital comprising seven wards.
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Affiliation(s)
- Alun Thomas
- Division of Genetic Epidemiology, School of Medicine, University of Utah, Salt Lake, UT, USA
| | - Karim Khader
- Division of Epidemiology, School of Medicine, University of Utah, Salt Lake, UT, USA.,VA Salt Lake City Health Care System, Salt Lake, UT, USA
| | - Andrew Redd
- Division of Epidemiology, School of Medicine, University of Utah, Salt Lake, UT, USA.,VA Salt Lake City Health Care System, Salt Lake, UT, USA
| | - Molly Leecaster
- Division of Epidemiology, School of Medicine, University of Utah, Salt Lake, UT, USA.,VA Salt Lake City Health Care System, Salt Lake, UT, USA
| | - Yue Zhang
- Division of Epidemiology, School of Medicine, University of Utah, Salt Lake, UT, USA.,VA Salt Lake City Health Care System, Salt Lake, UT, USA
| | - Makoto Jones
- Division of Epidemiology, School of Medicine, University of Utah, Salt Lake, UT, USA.,VA Salt Lake City Health Care System, Salt Lake, UT, USA
| | - Tom Greene
- Division of Epidemiology, School of Medicine, University of Utah, Salt Lake, UT, USA.,VA Salt Lake City Health Care System, Salt Lake, UT, USA
| | - Matthew Samore
- Division of Epidemiology, School of Medicine, University of Utah, Salt Lake, UT, USA.,VA Salt Lake City Health Care System, Salt Lake, UT, USA
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Flanagan E, Cassone M, Montoya A, Mody L. Infection Control in Alternative Health Care Settings: An Update. Infect Dis Clin North Am 2016; 30:785-804. [PMID: 27515148 PMCID: PMC5828503 DOI: 10.1016/j.idc.2016.05.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
With changing health care delivery, patients receive care at various settings including acute care hospitals, nursing homes, outpatient primary care and specialty clinics, and at home, exposing them to pathogens in various settings. Various health care settings face unique challenges, requiring individualized infection control programs. Infection control programs in nursing homes should address surveillance for infections and antimicrobial resistance, outbreak investigation and control plan for epidemics, isolation precautions, hand hygiene, staff education, and employee and resident health programs.
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Affiliation(s)
- Elaine Flanagan
- Quality and Patient Safety, Detroit Medical Center Healthcare System, 399 John R Street, Detroit, MI 48201, USA
| | - Marco Cassone
- Division of Geriatric Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Ana Montoya
- Division of Geriatric Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Lona Mody
- Division of Geriatric Medicine, University of Michigan Medical School, Ann Arbor, MI, USA; Geriatrics Research Education and Clinical Center, Veterans Affairs Ann Arbor Healthcare System, 2215 Fuller Drive, Ann Arbor, MI 48105, USA.
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Goto M, O'Shea AMJ, Livorsi DJ, McDanel JS, Jones MM, Richardson KK, Beck BF, Alexander B, Evans ME, Roselle GA, Kralovic SM, Perencevich EN. The Effect of a Nationwide Infection Control Program Expansion on Hospital-Onset Gram-Negative Rod Bacteremia in 130 Veterans Health Administration Medical Centers: An Interrupted Time-Series Analysis. Clin Infect Dis 2016; 63:642-650. [PMID: 27358355 DOI: 10.1093/cid/ciw423] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 05/07/2016] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND The Veterans Health Administration (VHA) introduced the Methicillin-Resistant Staphylococcus aureus (MRSA) Prevention Initiative in March 2007. Although the initiative has been perceived as a vertical intervention focusing on MRSA, it also expanded infection prevention and control programs and resources. We aimed to assess the horizontal effect of the initiative on hospital-onset (HO) gram-negative rod (GNR) bacteremia. METHODS This retrospective cohort included all patients who had HO bacteremia due to Escherichia coli, Klebsiella species, or Pseudomonas aeruginosa at 130 VHA facilities from January 2003 to December 2013. The effects were assessed using segmented linear regression with autoregressive error models, incorporating autocorrelation, immediate effect, and time before and after the initiative. Community-acquired (CA) bacteremia with same species was also analyzed as nonequivalent dependent controls. RESULTS A total of 11 196 patients experienced HO-GNR bacteremia during the study period. There was a significant change of slope in HO-GNR bacteremia incidence rates from before the initiative (+0.3%/month) to after (-0.4%/month) (P < .01), while CA GNR incidence rates did not significantly change (P = .08). Cumulative effect of the intervention on HO-GNR bacteremia incidence rates at the end of the study period was estimated to be -43.2% (95% confidence interval, -51.6% to -32.4%). Similar effects were observed in subgroup analyses of each species and antimicrobial susceptibility profile. CONCLUSIONS Within 130 VHA facilities, there was a sustained decline in HO-GNR bacteremia incidence rates after the implementation of the MRSA Prevention Initiative. As these organisms were not specifically targeted, it is likely that horizontal components of the initiative contributed to this decline.
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Affiliation(s)
- Michihiko Goto
- Iowa City Veterans Affairs (VA) Health Care System.,University of Iowa Carver College of Medicine, Iowa City
| | - Amy M J O'Shea
- Iowa City Veterans Affairs (VA) Health Care System.,University of Iowa Carver College of Medicine, Iowa City
| | - Daniel J Livorsi
- Iowa City Veterans Affairs (VA) Health Care System.,University of Iowa Carver College of Medicine, Iowa City
| | - Jennifer S McDanel
- Iowa City Veterans Affairs (VA) Health Care System.,University of Iowa Carver College of Medicine, Iowa City
| | - Makoto M Jones
- Salt Lake City VA Health Care System.,University of Utah School of Medicine, Salt Lake City
| | | | - Brice F Beck
- Iowa City Veterans Affairs (VA) Health Care System
| | | | - Martin E Evans
- Veterans Health Administration (VHA) MDRO Program Office.,Lexington VA Medical Center.,University of Kentucky College of Medicine, Lexington
| | - Gary A Roselle
- VHA National Infectious Diseases Service.,Cincinnati VA Medical Center.,University of Cincinnati College of Medicine, Ohio
| | - Stephen M Kralovic
- VHA National Infectious Diseases Service.,Cincinnati VA Medical Center.,University of Cincinnati College of Medicine, Ohio
| | - Eli N Perencevich
- Iowa City Veterans Affairs (VA) Health Care System.,University of Iowa Carver College of Medicine, Iowa City
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