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Pfeiffer CD, Jones MM, Klutts JS, Francis QA, Flegal HM, Murray AO, Willson TM, Hicks NR, Evans CT, Evans ME. Development and implementation of a nationwide multidrug-resistant organism tracking and alert system for Veterans Affairs medical centers. Infect Control Hosp Epidemiol 2024:1-6. [PMID: 38785174 DOI: 10.1017/ice.2024.79] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
OBJECTIVE Develop and implement a system in the Veterans Health Administration (VA) to alert local medical center personnel in real time when an acute- or long-term care patient/resident is admitted to their facility with a history of colonization or infection with a multidrug-resistant organism (MDRO) previously identified at any VA facility across the nation. METHODS An algorithm was developed to extract clinical microbiology and local facility census data from the VA Corporate Data Warehouse initially targeting carbapenem-resistant Enterobacterales (CRE) and methicillin-resistant Staphylococcus aureus (MRSA). The algorithm was validated with chart review of CRE cases from 2010-2018, trialed and refined in 24 VA healthcare systems over two years, expanded to other MDROs and implemented nationwide on 4/2022 as "VA Bug Alert" (VABA). Use through 8/2023 was assessed. RESULTS VABA performed well for CRE with recall of 96.3%, precision of 99.8%, and F1 score of 98.0%. At the 24 trial sites, feedback was recorded for 1,011 admissions with a history of CRE (130), MRSA (814), or both (67). Among Infection Preventionists and MDRO Prevention Coordinators, 338 (33%) reported being previously unaware of the information, and of these, 271 (80%) reported they would not have otherwise known this information. By fourteen months after nationwide implementation, 113/130 (87%) VA healthcare systems had at least one VABA subscriber. CONCLUSIONS A national system for alerting facilities in real-time of patients admitted with an MDRO history was successfully developed and implemented in VA. Next steps include understanding facilitators and barriers to use and coordination with non-VA facilities nationwide.
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Affiliation(s)
- Christopher D Pfeiffer
- Portland VA Health Care System, Portland, OR, USA
- University of Oregon, Portland, OR, USA
| | - Makoto M Jones
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - James S Klutts
- National Pathology and Laboratory Medicine Program Office, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA
- Iowa City VA Health Care System, Iowa City, IA, USA
- University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | | | | | | | - Tina M Willson
- VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Natalie R Hicks
- National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA
| | - Charlesnika T Evans
- VA Center of Innovation for Complex Chronic Healthcare, Hines VA Hospital, Hines, IL, USA
- Department of Preventive Medicine, Center for Health Services and Outcomes Research, Northwestern University, Chicago, IL, USA
| | - Martin E Evans
- National Infectious Diseases Service, Specialty Care Services, Veterans Health Administration, US Department of Veterans Affairs, Washington, DC, USA
- Lexington Veterans Affairs Healthcare System, Lexington, KY, USA
- Division of Infectious Diseases, Department of Internal Medicine, University of Kentucky School of Medicine, Lexington, KY, USA
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Pople D, Kypraios T, Donker T, Stoesser N, Seale AC, George R, Dodgson A, Freeman R, Hope R, Walker AS, Hopkins S, Robotham J. Model-based evaluation of admission screening strategies for the detection and control of carbapenemase-producing Enterobacterales in the English hospital setting. BMC Med 2023; 21:492. [PMID: 38087343 PMCID: PMC10717398 DOI: 10.1186/s12916-023-03007-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 07/27/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Globally, detections of carbapenemase-producing Enterobacterales (CPE) colonisations and infections are increasing. The spread of these highly resistant bacteria poses a serious threat to public health. However, understanding of CPE transmission and evidence on effectiveness of control measures is severely lacking. This paper provides evidence to inform effective admission screening protocols, which could be important in controlling nosocomial CPE transmission. METHODS CPE transmission within an English hospital setting was simulated with a data-driven individual-based mathematical model. This model was used to evaluate the ability of the 2016 England CPE screening recommendations, and of potential alternative protocols, to identify patients with CPE-colonisation on admission (including those colonised during previous stays or from elsewhere). The model included nosocomial transmission from colonised and infected patients, as well as environmental contamination. Model parameters were estimated using primary data where possible, including estimation of transmission using detailed epidemiological data within a Bayesian framework. Separate models were parameterised to represent hospitals in English areas with low and high CPE risk (based on prevalence). RESULTS The proportion of truly colonised admissions which met the 2016 screening criteria was 43% in low-prevalence and 54% in high-prevalence areas respectively. Selection of CPE carriers for screening was improved in low-prevalence areas by adding readmission as a screening criterion, which doubled how many colonised admissions were selected. A minority of CPE carriers were confirmed as CPE positive during their hospital stay (10 and 14% in low- and high-prevalence areas); switching to a faster screening test pathway with a single-swab test (rather than three swab regimen) increased the overall positive predictive value with negligible reduction in negative predictive value. CONCLUSIONS Using a novel within-hospital CPE transmission model, this study assesses CPE admission screening protocols, across the range of CPE prevalence observed in England. It identifies protocol changes-adding readmissions to screening criteria and a single-swab test pathway-which could detect similar numbers of CPE carriers (or twice as many in low CPE prevalence areas), but faster, and hence with lower demand on pre-emptive infection-control resources. Study findings can inform interventions to control this emerging threat, although further work is required to understand within-hospital transmission sources.
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Affiliation(s)
- Diane Pople
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK.
| | - Theodore Kypraios
- School of Mathematical Sciences, University Park, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Tjibbe Donker
- University Medical Center Freiburg, Institute for Infection Prevention and Hospital Epidemiology, Breisacher Strasse, 79106, Freiburg im Breisgau, Germany
| | - Nicole Stoesser
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- NIHR Health Protection Research Unit in Antimicrobial Resistance and Healthcare Associated Infections, University of Oxford and UKHSA, Oxford, UK
| | - Anna C Seale
- University of Warwick, Warwick, UK
- London School of Hygiene & Tropical Medicine, London, UK
- UK Health Security Agency, London, UK
| | - Ryan George
- Manchester University NHS Foundation Trust, Manchester, UK
| | - Andrew Dodgson
- UK Health Security Agency, Manchester Public Health Laboratory, Manchester Royal Infirmary, Oxford Road, Manchester, M13 9WL, UK
| | - Rachel Freeman
- IQVIA, The Point, 37 North Wharf Road, London, W2 1AF, UK
| | - Russell Hope
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK
| | - Ann Sarah Walker
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Susan Hopkins
- NIHR Health Protection Research Unit in Antimicrobial Resistance and Healthcare Associated Infections, University of Oxford and UKHSA, Oxford, UK
- UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK
- Division of Infection and Immunity, UCL, Gower St, London, UK
| | - Julie Robotham
- HCAI, Fungal, AMR, AMU & Sepsis Division, UK Health Security Agency, 61 Colindale Avenue, London, NW9 5EQ, UK
- NIHR Health Protection Research Unit in Antimicrobial Resistance and Healthcare Associated Infections, University of Oxford and UKHSA, Oxford, UK
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Cost-effectiveness of carbapenem-resistant Enterobacteriaceae (CRE) surveillance in Maryland. Infect Control Hosp Epidemiol 2021; 43:1162-1170. [PMID: 34674791 PMCID: PMC9023597 DOI: 10.1017/ice.2021.361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Objective: We analyzed the efficacy, cost, and cost-effectiveness of predictive decision-support systems based on surveillance interventions to reduce the spread of carbapenem-resistant Enterobacteriaceae (CRE). Design: We developed a computational model that included patient movement between acute-care hospitals (ACHs), long-term care facilities (LTCFs), and communities to simulate the transmission and epidemiology of CRE. A comparative cost-effectiveness analysis was conducted on several surveillance strategies to detect asymptomatic CRE colonization, which included screening in ICUs at select or all hospitals, a statewide registry, or a combination of hospital screening and a statewide registry. Setting: We investigated 51 ACHs, 222 LTCFs, and skilled nursing facilities, and 464 ZIP codes in the state of Maryland. Patients or participants: The model was informed using 2013–2016 patient-mix data from the Maryland Health Services Cost Review Commission. This model included all patients that were admitted to an ACH. Results: On average, the implementation of a statewide CRE registry reduced annual CRE infections by 6.3% (18.8 cases). Policies of screening in select or all ICUs without a statewide registry had no significant impact on the incidence of CRE infections. Predictive algorithms, which identified any high-risk patient, reduced colonization incidence by an average of 1.2% (3.7 cases) without a registry and 7.0% (20.9 cases) with a registry. Implementation of the registry was estimated to save $572,000 statewide in averted infections per year. Conclusions: Although hospital-level surveillance provided minimal reductions in CRE infections, regional coordination with a statewide registry of CRE patients reduced infections and was cost-effective.
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Bartsch SM, Wong KF, Mueller LE, Gussin GM, McKinnell JA, Tjoa T, Wedlock PT, He J, Chang J, Gohil SK, Miller LG, Huang SS, Lee BY. Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region. JAMA Netw Open 2021; 4:e2119212. [PMID: 34347060 PMCID: PMC8339938 DOI: 10.1001/jamanetworkopen.2021.19212] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
IMPORTANCE Multidrug-resistant organisms (MDROs) can spread across health care facilities in a region. Because of limited resources, certain interventions can be implemented in only some facilities; thus, decision-makers need to evaluate which interventions may be best to implement. OBJECTIVE To identify a group of target facilities and assess which MDRO intervention would be best to implement in the Shared Healthcare Intervention to Eliminate Life-threatening Dissemination of MDROs in Orange County, a large regional public health collaborative in Orange County, California. DESIGN, SETTING, AND PARTICIPANTS An agent-based model of health care facilities was developed in 2016 to simulate the spread of methicillin-resistant Staphylococcus aureus (MRSA) and carbapenem-resistant Enterobacteriaceae (CRE) for 10 years starting in 2010 and to simulate the use of various MDRO interventions for 3 years starting in 2017. All health care facilities (23 hospitals, 5 long-term acute care hospitals, and 74 nursing homes) serving adult inpatients in Orange County, California, were included, and 42 target facilities were identified via network analyses. EXPOSURES Increasing contact precaution effectiveness, increasing interfacility communication about patients' MDRO status, and performing decolonization using antiseptic bathing soap and a nasal product in a specific group of target facilities. MAIN OUTCOMES AND MEASURES MRSA and CRE prevalence and number of new carriers (ie, transmission events). RESULTS Compared with continuing infection control measures used in Orange County as of 2017, increasing contact precaution effectiveness from 40% to 64% in 42 target facilities yielded relative reductions of 0.8% (range, 0.5%-1.1%) in MRSA prevalence and 2.4% (range, 0.8%-4.6%) in CRE prevalence in health care facilities countywide after 3 years, averting 761 new MRSA transmission events (95% CI, 756-765 events) and 166 new CRE transmission events (95% CI, 158-174 events). Increasing interfacility communication of patients' MDRO status to 80% in these target facilities produced no changes in the prevalence or transmission of MRDOs. Implementing decolonization procedures (clearance probability: 39% in hospitals, 27% in long-term acute care facilities, and 3% in nursing homes) yielded a relative reduction of 23.7% (range, 23.5%-23.9%) in MRSA prevalence, averting 3515 new transmission events (95% CI, 3509-3521 events). Increasing the effectiveness of antiseptic bathing soap to 48% yielded a relative reduction of 39.9% (range, 38.5%-41.5%) in CRE prevalence, averting 1435 new transmission events (95% CI, 1427-1442 events). CONCLUSIONS AND RELEVANCE The findings of this study highlight the ways in which modeling can inform design of regional interventions and suggested that decolonization would be the best strategy for the Shared Healthcare Intervention to Eliminate Life-threatening Dissemination of MDROs in Orange County.
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Affiliation(s)
- Sarah M. Bartsch
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York, New York
| | - Kim F. Wong
- Center for Simulation and Modeling, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Leslie E. Mueller
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York, New York
| | - Gabrielle M. Gussin
- Division of Infectious Diseases and Health Policy Research Institute, Health School of Medicine, University of California–Irvine, Irvine
| | - James A. McKinnell
- Infectious Disease Clinical Outcomes Research Unit, Lundquist Institute, Harbor-UCLA Medical Center, Torrance, California
- Torrance Memorial Medical Center, Torrance, California
| | - Thomas Tjoa
- Division of Infectious Diseases and Health Policy Research Institute, Health School of Medicine, University of California–Irvine, Irvine
| | - Patrick T. Wedlock
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York, New York
| | - Jiayi He
- Division of Infectious Diseases and Health Policy Research Institute, Health School of Medicine, University of California–Irvine, Irvine
| | - Justin Chang
- Division of Infectious Diseases and Health Policy Research Institute, Health School of Medicine, University of California–Irvine, Irvine
| | - Shruti K. Gohil
- Division of Infectious Diseases and Health Policy Research Institute, Health School of Medicine, University of California–Irvine, Irvine
| | | | - Susan S. Huang
- Division of Infectious Diseases and Health Policy Research Institute, Health School of Medicine, University of California–Irvine, Irvine
| | - Bruce Y. Lee
- Public Health Informatics, Computational, and Operations Research, Graduate School of Public Health and Health Policy, City University of New York, New York, New York
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Jimenez A, Abbo LM, Martinez O, Shukla B, Sposato K, Iovleva A, Fowler EL, McElheny CL, Doi Y. KPC-3-Producing Serratia marcescens Outbreak between Acute and Long-Term Care Facilities, Florida, USA. Emerg Infect Dis 2021; 26:2746-2750. [PMID: 33079055 PMCID: PMC7588513 DOI: 10.3201/eid2611.202203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
We describe an outbreak caused by Serratia marcescens carrying blaKPC-3 that was sourced to a long-term care facility in Florida, USA. Whole-genome sequencing and plasmid profiling showed involvement of 3 clonal lineages of S. marcescens and 2 blaKPC-3-carrying plasmids. Determining the resistance mechanism is critical for timely implementation of infection control measures.
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Lee BY, Bartsch SM, Hayden MK, Welling J, Mueller LE, Brown ST, Doshi K, Leonard J, Kemble SK, Weinstein RA, Trick WE, Lin MY. How to Choose Target Facilities in a Region to Implement Carbapenem-resistant Enterobacteriaceae Control Measures. Clin Infect Dis 2021; 72:438-447. [PMID: 31970389 DOI: 10.1093/cid/ciaa072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 01/21/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND When trying to control regional spread of antibiotic-resistant pathogens such as carbapenem-resistant Enterobacteriaceae (CRE), decision makers must choose the highest-yield facilities to target for interventions. The question is, with limited resources, how best to choose these facilities. METHODS Using our Regional Healthcare Ecosystem Analyst-generated agent-based model of all Chicago metropolitan area inpatient facilities, we simulated the spread of CRE and different ways of choosing facilities to apply a prevention bundle (screening, chlorhexidine gluconate bathing, hand hygiene, geographic separation, and patient registry) to a resource-limited 1686 inpatient beds. RESULTS Randomly selecting facilities did not impact prevalence, but averted 620 new carriers and 175 infections, saving $6.3 million in total costs compared to no intervention. Selecting facilities by type (eg, long-term acute care hospitals) yielded a 16.1% relative prevalence decrease, preventing 1960 cases and 558 infections, saving $62.4 million more than random selection. Choosing the largest facilities was better than random selection, but not better than by type. Selecting by considering connections to other facilities (ie, highest volume of discharge patients) yielded a 9.5% relative prevalence decrease, preventing 1580 cases and 470 infections, and saving $51.6 million more than random selection. Selecting facilities using a combination of these metrics yielded the greatest reduction (19.0% relative prevalence decrease, preventing 1840 cases and 554 infections, saving $59.6 million compared with random selection). CONCLUSIONS While choosing target facilities based on single metrics (eg, most inpatient beds, most connections to other facilities) achieved better control than randomly choosing facilities, more effective targeting occurred when considering how these and other factors (eg, patient length of stay, care for higher-risk patients) interacted as a system.
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Affiliation(s)
- Bruce Y Lee
- Public Health Informatics, Computational, and Operations Research, City University of New York, New York City, New York, USA
| | - Sarah M Bartsch
- Public Health Informatics, Computational, and Operations Research, City University of New York, New York City, New York, USA
| | - Mary K Hayden
- Rush University Medical Center, Chicago, Illinois, USA
| | - Joel Welling
- Public Health Applications, Pittsburgh Super Computing Center, Pittsburgh, Pennsylvania, USA
| | - Leslie E Mueller
- Public Health Informatics, Computational, and Operations Research, City University of New York, New York City, New York, USA
| | - Shawn T Brown
- Public Health Applications, Pittsburgh Super Computing Center, Pittsburgh, Pennsylvania, USA
| | | | - Jim Leonard
- Public Health Applications, Pittsburgh Super Computing Center, Pittsburgh, Pennsylvania, USA
| | - Sarah K Kemble
- Rush University Medical Center, Chicago, Illinois, USA.,Chicago Department of Public Health, Chicago, Illinois, USA
| | - Robert A Weinstein
- Rush University Medical Center, Chicago, Illinois, USA.,Cook County Health, Chicago, Illinois, USA
| | - William E Trick
- Rush University Medical Center, Chicago, Illinois, USA.,Cook County Health, Chicago, Illinois, USA
| | - Michael Y Lin
- Rush University Medical Center, Chicago, Illinois, USA
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Lee BY, Bartsch SM, Lin MY, Asti L, Welling J, Mueller LE, Leonard J, Brown ST, Doshi K, Kemble SK, Mitgang EA, Weinstein RA, Trick WE, Hayden MK. How Long-Term Acute Care Hospitals Can Play an Important Role in Controlling Carbapenem-Resistant Enterobacteriaceae in a Region: A Simulation Modeling Study. Am J Epidemiol 2021; 190:448-458. [PMID: 33145594 DOI: 10.1093/aje/kwaa247] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 10/27/2020] [Accepted: 10/29/2020] [Indexed: 11/14/2022] Open
Abstract
Typically, long-term acute care hospitals (LTACHs) have less experience in and incentives to implementing aggressive infection control for drug-resistant organisms such as carbapenem-resistant Enterobacteriaceae (CRE) than acute care hospitals. Decision makers need to understand how implementing control measures in LTACHs can impact CRE spread regionwide. Using our Chicago metropolitan region agent-based model to simulate CRE spread and control, we estimated that a prevention bundle in only LTACHs decreased prevalence by a relative 4.6%-17.1%, averted 1,090-2,795 new carriers, 273-722 infections and 37-87 deaths over 3 years and saved $30.5-$69.1 million, compared with no CRE control measures. When LTACHs and intensive care units intervened, prevalence decreased by a relative 21.2%. Adding LTACHs averted an additional 1,995 carriers, 513 infections, and 62 deaths, and saved $47.6 million beyond implementation in intensive care units alone. Thus, LTACHs may be more important than other acute care settings for controlling CRE, and regional efforts to control drug-resistant organisms should start with LTACHs as a centerpiece.
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Jimenez A, Trepka MJ, Munoz-Price LS, Pekovic V, Ibrahimou B, Abbo LM, Martinez O, Sposato K, dePascale D, Perez-Cardona A, McElheny CL, Bachman WC, Fowler EL, Doi Y, Fennie K. Epidemiology of carbapenem-resistant Enterobacteriaceae in hospitals of a large healthcare system in Miami, Florida from 2012 to 2016: Five years of experience with an internal registry. Am J Infect Control 2020; 48:1341-1347. [PMID: 32334004 DOI: 10.1016/j.ajic.2020.04.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 04/10/2020] [Accepted: 04/16/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Carbapenem-resistant Enterobacteriaceae (CRE) is an urgent public health threat globally. Limited data are available regarding the epidemiology of CRE in South Florida. We describe the epidemiology of CRE within a large public healthcare system in Miami, FL, the experience with an internal registry, active surveillance testing, and the impact of infection prevention practices. METHODS Retrospective cohort study in 4 hospitals from a large healthcare system in Miami-Dade County, FL from 2012 to 2016. The internal registry included all CRE cases from active surveillance testing from rectal and/or tracheal screening occurring in the intensive care units of 2 of the hospitals and clinical cultures across the healthcare system. All CRE cases were tagged in the electronic medical record and automatically entered into a platform for automatic infection control surveillance. The system alerted about new cases, readmissions, and transfers. RESULTS A total of 371 CRE cases were identified. The overall prevalence was 0.077 cases per 100 patient-admissions; the admission prevalence was 0.019 per 100 patient-admissions, and the incidence density was 1.46 cases per 10,000 patient-days. Rates increased during the first 3 years of the study and declined later to a lower level than at the beginning of study period. CONCLUSIONS Active surveillance testing and the use of an internal registry facilitated prompt identification of cases contributing to control increasing rates of CRE by rapid implementation of infection prevention strategies.
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Development of a 51-hospital Chicagoland regional antibiogram and comparison to local hospital and national surveillance data. Infect Control Hosp Epidemiol 2020; 41:1409-1418. [PMID: 32886058 DOI: 10.1017/ice.2020.334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To develop a regional antibiogram within the Chicagoland metropolitan area and to compare regional susceptibilities against individual hospitals within the area and national surveillance data. DESIGN Multicenter retrospective analysis of antimicrobial susceptibility data from 2017 and comparison to local institutions and national surveillance data. SETTING AND PARTICIPANTS The analysis included 51 hospitals from the Chicago-Naperville-Elgin Metropolitan Statistical Area within the state of Illinois. Overall, 18 individual collaborator hospitals provided antibiograms for analysis, and data from 33 hospitals were provided in aggregate by the Becton Dickinson Insights Research Database. METHODS All available antibiogram data from calendar year 2017 were combined to generate the regional antibiogram. The final Chicagoland antibiogram was then compared internally to collaborators and externally to national surveillance data to assess its applicability and utility. RESULTS In total, 167,394 gram-positive, gram-negative, fungal, and mycobacterial isolates were collated to create a composite regional antibiogram. The regional data represented the local institutions well, with 96% of the collaborating institutions falling within ±2 standard deviations of the regional mean. The regional antibiogram was able to include 4-5-fold more gram-positive and -negative species with ≥30 isolates than the median reported by local institutions. Against national surveillance data, 18.6% of assessed pathogen-antibiotic combinations crossed prespecified clinical thresholds for disparity in susceptibility rates, with notable trends for resistant gram-positive and gram-negative bacteria. CONCLUSIONS Developing an accurate, reliable regional antibiogram is feasible, even in one of the largest metropolitan areas in the United States. The biogram is useful in assessing susceptibilities to less commonly encountered organisms and providing clinicians a more accurate representation of local antimicrobial resistance rates compared to national surveillance databases.
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Dutcher L, Lautenbach E. A Deeper Dive: Implications of Identifying More of the Carbapenem-Resistant Enterobacteriaceae Iceberg. J Infect Dis 2020; 221:1743-1745. [PMID: 31150533 DOI: 10.1093/infdis/jiz290] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 05/30/2019] [Indexed: 02/04/2023] Open
Affiliation(s)
- Lauren Dutcher
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia.,Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Ebbing Lautenbach
- Division of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia.,Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia
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Bartsch SM, Wong KF, Stokes-Cawley OJ, McKinnell JA, Cao C, Gussin GM, Mueller LE, Kim DS, Miller LG, Huang SS, Lee BY. Knowing More of the Iceberg: How Detecting a Greater Proportion of Carbapenem-Resistant Enterobacteriaceae Carriers Influences Transmission. J Infect Dis 2020; 221:1782-1794. [PMID: 31150539 PMCID: PMC7213567 DOI: 10.1093/infdis/jiz288] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 05/30/2019] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Clinical testing detects a fraction of carbapenem-resistant Enterobacteriaceae (CRE) carriers. Detecting a greater proportion could lead to increased use of infection prevention and control measures but requires resources. Therefore, it is important to understand the impact of detecting increasing proportions of CRE carriers. METHODS We used our Regional Healthcare Ecosystem Analyst-generated agent-based model of adult inpatient healthcare facilities in Orange County, California, to explore the impact that detecting greater proportions of carriers has on the spread of CRE. RESULTS Detecting and placing 1 in 9 carriers on contact precautions increased the prevalence of CRE from 0% to 8.0% countywide over 10 years. Increasing the proportion of detected carriers from 1 in 9 up to 1 in 5 yielded linear reductions in transmission; at proportions >1 in 5, reductions were greater than linear. Transmission reductions did not occur for 1, 4, or 5 years, varying by facility type. With a contact precautions effectiveness of ≤70%, the detection level yielding nonlinear reductions remained unchanged; with an effectiveness of >80%, detecting only 1 in 5 carriers garnered large reductions in the number of new CRE carriers. Trends held when CRE was already present in the region. CONCLUSION Although detection of all carriers provided the most benefits for preventing new CRE carriers, if this is not feasible, it may be worthwhile to aim for detecting >1 in 5 carriers.
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Affiliation(s)
- Sarah M Bartsch
- Public Health Computational and Operations Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Global Obesity Prevention Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Kim F Wong
- Center for Simulation and Modeling, University of Pittsburgh, Pennsylvania
| | - Owen J Stokes-Cawley
- Public Health Computational and Operations Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Global Obesity Prevention Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - James A McKinnell
- Infectious Disease Clinical Outcomes Research Unit, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Los Angeles, California
- Torrance Memorial Medical Center, Torrance, California
| | - Chenghua Cao
- Division of Infectious Diseases, University of California–Irvine Health School of Medicine, Irvine, California
- Health Policy Research Institute, University of California–Irvine Health School of Medicine, Irvine, California
| | - Gabrielle M Gussin
- Division of Infectious Diseases, University of California–Irvine Health School of Medicine, Irvine, California
- Health Policy Research Institute, University of California–Irvine Health School of Medicine, Irvine, California
| | - Leslie E Mueller
- Public Health Computational and Operations Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Global Obesity Prevention Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Diane S Kim
- Division of Infectious Diseases, University of California–Irvine Health School of Medicine, Irvine, California
- Health Policy Research Institute, University of California–Irvine Health School of Medicine, Irvine, California
| | | | - Susan S Huang
- Division of Infectious Diseases, University of California–Irvine Health School of Medicine, Irvine, California
- Health Policy Research Institute, University of California–Irvine Health School of Medicine, Irvine, California
| | - Bruce Y Lee
- Public Health Computational and Operations Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Global Obesity Prevention Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Salomão MC, Freire MP, Levin ASS. Patients with carbapenem-resistant Enterobacteriaceae in emergency room; is this a real problem? Future Microbiol 2020; 14:1527-1530. [PMID: 31939320 DOI: 10.2217/fmb-2019-0263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Matias C Salomão
- Infection Control Department, Hospital das Clınicas, Universidade de São Paulo, Brazil
| | - Maristela P Freire
- Infection Control Department, Hospital das Clınicas, Universidade de São Paulo, Brazil
| | - Anna Sara S Levin
- Department of Infectious Diseases, Faculdade de Medicina, Universidade de São Paulo, Brazil
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Boulle A, Heekes A, Tiffin N, Smith M, Mutemaringa T, Zinyakatira N, Phelanyane F, Pienaar C, Buddiga K, Coetzee E, van Rooyen R, Dyers R, Fredericks N, Loff A, Shand L, Moodley M, de Vega I, Vallabhjee K. Data Centre Profile: The Provincial Health Data Centre of the Western Cape Province, South Africa. Int J Popul Data Sci 2019; 4:1143. [PMID: 32935043 PMCID: PMC7482518 DOI: 10.23889/ijpds.v4i2.1143] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Introduction The Western Cape Provincial Health Data Centre (PHDC) consolidates person-level clinical data across government services, leveraging sustained investments in patient registration systems, a unique identifier, and maturation of administrative and clinical digital health systems. Objectives The PHDC supports clinical care directly through tools for clinicians which integrate patient data or identify patients in need of interventions, and indirectly through supporting operational and epidemiological analyses. Methods The PHDC is housed entirely within government. Data are processed from a range of source systems, usually daily, through distinct harmonisation and curation, beneficiation, and reporting processes. Linkage is predominantly through the unique identifier which doubles as a pervasive folder number, augmented by other identifiers. Further data processing includes triangulation of multiple data sources for enumerating health conditions, with assignment of certainty levels for each enumeration. Outputs include patient-specific email alerts, a web-based consolidated patient clinical viewing platform, filterable line-listings of patients with specific conditions and associated characteristics and outcomes, management reports and dashboards, and data releases in response to operational and research data requests. Strict architectural, administrative and governance processes ensure privacy protection. Results In the past decade 8 million unique people are recorded as having sought healthcare in the provincial public sector health services, with current utilisation at 15 million attendances or admissions a year. Cross-sectional enumeration of health conditions includes over 430 000 people with HIV, 500 000 with hypertension, 235 000 with diabetes. Annually 110 000 pregnancies and 54 000 patients with tuberculosis are enumerated. Over 50 data requests are processed each year for internal and external requesters in accordance with data request and release governance processes. Conclusions The single consolidated environment for person-level health data in the Western Cape has created new opportunities for supporting patient care, while improving the governance around access to and release of sensitive patient data.
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Affiliation(s)
- A Boulle
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - A Heekes
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - N Tiffin
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - M Smith
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - T Mutemaringa
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - N Zinyakatira
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - F Phelanyane
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - C Pienaar
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa
| | - K Buddiga
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - E Coetzee
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - R van Rooyen
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - R Dyers
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,Division of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - N Fredericks
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa
| | - A Loff
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa
| | - L Shand
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa
| | - M Moodley
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - I de Vega
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa
| | - K Vallabhjee
- Department of Health, Provincial Government of the Western Cape, Cape Town, South Africa.,School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
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