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Puopolo KM. Hospital-Onset Bacteremia-Counting Them All. JAMA Pediatr 2024; 178:750-752. [PMID: 39008315 DOI: 10.1001/jamapediatrics.2024.2156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Affiliation(s)
- Karen M Puopolo
- Division of Neonatology and Clinical Futures, Childrens' Hospital of Philadelphia, Philadelphia, Pennsylvania
- Section on Newborn Medicine, Pennsylvania Hospital, Philadelphia
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia
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2
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MacPhail A, Dendle C, Slavin M, McQuilten Z. Hospital-acquired bloodstream infections in patients with cancer: current knowledge and future directions. J Hosp Infect 2024; 148:39-50. [PMID: 38490489 DOI: 10.1016/j.jhin.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/01/2024] [Accepted: 03/04/2024] [Indexed: 03/17/2024]
Abstract
Patients with cancer experience higher rates of preventable harm from hospital-acquired bloodstream infections (haBSIs) and central-line-associated bloodstream infections (CLABSIs) compared with the general hospital population. The prevention of haBSIs and CLABSIs in patients with cancer is an urgent priority, and requires standardized surveillance and reporting efforts. The application of haBSI and CLABSI definitions, classification systems and surveillance strategies for patients with cancer is complex, and there is wide variation in clinical practice. Existing systems were not designed explicitly for patients with cancer, and have different strengths and weaknesses in the cancer setting. For these reasons, epidemiological estimates of haBSIs and CLABSIs in patients with cancer also require careful interpretation. This complexity can be a barrier to identifying appropriate targets for intervention and reducing preventable harm. This review provides an overview of key concepts and challenges in haBSI surveillance and prevention specific to patients with cancer. In addition, this review summarizes the strengths and weaknesses of commonly used surveillance definitions and denominators in the setting of cancer care; existing surveillance practice; epidemiology of haBSIs and CLABSIs; prevention strategies; and current knowledge gaps. A global collaborative effort to harmonize the surveillance of hospital-acquired infections in patients with cancer would be invaluable to improve the accuracy and utility of existing data, advance efforts to prevent hospital-acquired infections, and improve patient safety.
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Affiliation(s)
- A MacPhail
- School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Department of Infectious Diseases, Monash Health, Melbourne, Australia
| | - C Dendle
- Department of Infectious Diseases, Monash Health, Melbourne, Australia; School of Clinical Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - M Slavin
- Department of Infectious Diseases, Peter MacCallum Cancer Centre, Melbourne, Australia; Sir Peter MacCallum Department of Oncology, National Centre for Infections in Cancer, University of Melbourne, Melbourne, Australia
| | - Z McQuilten
- School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Department of Haematology, Monash Health, Clayton, Australia.
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Odada D, Munyi H, Gatuiku J, Thuku R, Nyandigisi J, Wangui A, Ashihundu E, Nyakiringa B, Kimeu J, Musumbi M, Adam RD. Reducing the rate of central line-associated bloodstream infections; a quality improvement project. BMC Infect Dis 2023; 23:745. [PMID: 37904103 PMCID: PMC10617146 DOI: 10.1186/s12879-023-08744-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 10/24/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND The burden of central line-associated bloodstream infections is significant and has negative implications for healthcare, increasing morbidity and mortality risks, increasing inpatient hospital stays, and increasing the cost of hospitalization. Efforts to reduce the incidence of central line-associated bloodstream infections have utilized quality improvement projects that implement, measure, and monitor outcomes. However, variations in location, healthcare organization, patient risks, and practice gaps are key to the success of interventions and approaches. This study aims to evaluate interventions of a quality improvement project on the reduction of central line-associated bloodstream infection rates at a university teaching hospital. METHODS This was a retrospective review of a quality improvement project that was implemented using the Plan-Do-Study-Act quality improvement cycle. Active surveillance of processes and outcomes was performed in the critical care areas; compliance to central line care bundles, and central line-associated bloodstream infections. Interrupted time series was used to analyze trends pre and post-intervention and regression modeling to estimate data segments preceding and succeeding the interventions. RESULTS There were 350 central line insertions, 3912 catheter days, and 20 central line-associated bloodstream infection events during the intervention period. Compliance with central line care bundles was at 94%. There was a trend in the reduction of central line-associated bloodstream infections by 18% that did not reach statistical significance (p = 0.252). CONCLUSIONS Improvement projects to reduce central line-associated bloodstream infections face challenges and complexities associated with implementing interventions in real-world healthcare settings. There is a great need to continuously monitor, evaluate, readjust, and adapt interventions to achieve desired results, sustain improvements in patient outcomes, and investigate reasons for non-adherence as keys to achieving desired outcomes.
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Affiliation(s)
- David Odada
- Department of Nursing, Aga Khan University Hospital, Nairobi, Kenya.
| | - Hellen Munyi
- Department of Nursing, Aga Khan University Hospital, Nairobi, Kenya
| | - Japhet Gatuiku
- Department of Pharmacy, Aga Khan University Hospital, Nairobi, Kenya
| | - Ruth Thuku
- Department of Quality, Aga Khan University Hospital, Nairobi, Kenya
| | - Jared Nyandigisi
- Department of Nursing, Aga Khan University Hospital, Nairobi, Kenya
| | - Anne Wangui
- Department of Nursing, Aga Khan University Hospital, Nairobi, Kenya
| | - Emilie Ashihundu
- Department of Nursing, Aga Khan University Hospital, Nairobi, Kenya
| | | | - Jemimah Kimeu
- Department of Nursing, Aga Khan University Hospital, Nairobi, Kenya
| | - Martin Musumbi
- Department of Internal Medicine, Aga Khan University Hospital, Nairobi, Kenya
| | - Rodney D Adam
- Department of Internal Medicine, Aga Khan University Hospital, Nairobi, Kenya
- Department of Pathology, Aga Khan University Hospital, Nairobi, Kenya
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Gao S, Albu E, Tuand K, Cossey V, Rademakers F, Van Calster B, Wynants L. Systematic review finds risk of bias and applicability concerns for models predicting central line-associated bloodstream infection. J Clin Epidemiol 2023; 161:127-139. [PMID: 37536503 DOI: 10.1016/j.jclinepi.2023.07.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/05/2023]
Abstract
OBJECTIVES To systematically review the risk of bias and applicability of published prediction models for risk of central line-associated bloodstream infection (CLA-BSI) in hospitalized patients. STUDY DESIGN AND SETTING Systematic review of literature in PubMed, Embase, Web of Science Core Collection, and Scopus up to July 10, 2023. Two authors independently appraised risk models using CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS) and assessed their risk of bias and applicability using Prediction model Risk Of Bias ASsessment Tool (PROBAST). RESULTS Sixteen studies were included, describing 37 models. When studies presented multiple algorithms, we focused on the model that was selected as the best by the study authors. Eventually we appraised 19 models, among which 15 were regression models and four machine learning models. All models were at a high risk of bias, primarily due to inappropriate proxy outcomes, predictors that are unavailable at prediction time in clinical practice, inadequate sample size, negligence of missing data, lack of model validation, and absence of calibration assessment. 18 out of 19 models had a high concern for applicability, one model had unclear concern for applicability due to incomplete reporting. CONCLUSION We did not identify a prediction model of potential clinical use. There is a pressing need to develop an applicable model for CLA-BSI.
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Affiliation(s)
- Shan Gao
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Elena Albu
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Krizia Tuand
- 2Bergen - Learning Centre Désiré Collen, KU Leuven Libraries, KU Leuven, Leuven, Belgium
| | - Veerle Cossey
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium; Department of Infection Control and Prevention, University Hospitals Leuven, Leuven, Belgium
| | | | - Ben Van Calster
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands; EPI-Center, KU Leuven, Leuven, Belgium.
| | - Laure Wynants
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium; EPI-Center, KU Leuven, Leuven, Belgium; Care & Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
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Locey KJ, Webb TA, Weinstein RA, Hota B, Stein BD. Random variation drives a critical bias in the comparison of healthcare-associated infections. Infect Control Hosp Epidemiol 2023; 44:1396-1402. [PMID: 36896667 DOI: 10.1017/ice.2022.288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
OBJECTIVE To evaluate random effects of volume (patient days or device days) on healthcare-associated infections (HAIs) and the standardized infection ratio (SIR) used to compare hospitals. DESIGN A longitudinal comparison between publicly reported quarterly data (2014-2020) and volume-based random sampling using 4 HAI types: central-line-associated bloodstream infections, catheter-associated urinary tract infections, Clostridioides difficile infections, methicillin-resistant Staphylococcus aureus infections. METHODS Using 4,268 hospitals with reported SIRs, we examined relationships of SIRs to volume and compared distributions of SIRs and numbers of reported HAIs to the outcomes of simulated random sampling. We included random expectations into SIR calculations to produce a standardized infection score (SIS). RESULTS Among hospitals with volumes less than the median, 20%-33% had SIRs of 0, compared to 0.3%-5% for hospitals with volumes higher than the median. Distributions of SIRs were 86%-92% similar to those based on random sampling. Random expectations explained 54%-84% of variation in numbers of HAIs. The use of SIRs led hundreds of hospitals with more infections than either expected at random or predicted by risk-adjusted models to rank better than other hospitals. The SIS mitigated this effect and allowed hospitals of disparate volumes to achieve better scores while decreasing the number of hospitals tied for the best score. CONCLUSIONS SIRs and numbers of HAIs are strongly influenced by random effects of volume. Mitigating these effects drastically alters rankings for HAI types and may further alter penalty assignments in programs that aim to reduce HAIs and improve quality of care.
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Affiliation(s)
- Kenneth J Locey
- Center for Quality, Safety and Value Analytics, Rush University Medical Center, Chicago, Illinois
| | - Thomas A Webb
- Center for Quality, Safety and Value Analytics, Rush University Medical Center, Chicago, Illinois
| | - Robert A Weinstein
- Division of Infectious Diseases, Rush Medical College, Chicago, Illinois
| | - Bala Hota
- Tendo Systems, Inc, Hinsdale, Illinois
| | - Brian D Stein
- Center for Quality, Safety and Value Analytics, Rush University Medical Center, Chicago, Illinois
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Pek Z, Canepa H, Gregg KL, Cabunoc MK, Leekha S, Baghdadi JD. Recurrent central-line-associated bloodstream infection in a single high-risk patient. Infect Control Hosp Epidemiol 2023; 44:166-168. [PMID: 35912686 DOI: 10.1017/ice.2022.190] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Zachary Pek
- University of Maryland School of Medicine, Baltimore, Maryland
| | - Hannah Canepa
- University of Maryland School of Medicine, Baltimore, Maryland
| | - Karen L Gregg
- University of Maryland Medical Center-Midtown Campus, Baltimore, Maryland
| | - Marie K Cabunoc
- University of Maryland Medical Center-Midtown Campus, Baltimore, Maryland
| | - Surbhi Leekha
- University of Maryland School of Medicine, Baltimore, Maryland
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Schrank GM, Sick-Samuels A, Bleasdale SC, Jacob JT, Dantes R, Gokhale RH, Mayer J, Mehrotra P, Mehta SA, Mena Lora AJ, Ray SM, Rhee C, Salinas JL, Seo SK, Shane AL, Nadimpalli G, Milstone AM, Robinson G, Brown CH, Harris AD, Leekha S. Development and evaluation of a structured guide to assess the preventability of hospital-onset bacteremia and fungemia. Infect Control Hosp Epidemiol 2022; 43:1326-1332. [PMID: 35086601 PMCID: PMC9472698 DOI: 10.1017/ice.2021.528] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE To assess preventability of hospital-onset bacteremia and fungemia (HOB), we developed and evaluated a structured rating guide accounting for intrinsic patient and extrinsic healthcare-related risks. DESIGN HOB preventability rating guide was compared against a reference standard expert panel. PARTICIPANTS A 10-member panel of clinical experts was assembled as the standard of preventability assessment, and 2 physician reviewers applied the rating guide for comparison. METHODS The expert panel independently rated 82 hypothetical HOB scenarios using a 6-point Likert scale collapsed into 3 categories: preventable, uncertain, or not preventable. Consensus was defined as concurrence on the same category among ≥70% experts. Scenarios without consensus were deliberated and followed by a second round of rating.Two reviewers independently applied the rating guide to adjudicate the same 82 scenarios in 2 rounds, with interim revisions. Interrater reliability was evaluated using the κ (kappa) statistic. RESULTS Expert panel consensus criteria were met for 52 scenarios (63%) after 2 rounds.After 2 rounds, guide-based rating matched expert panel consensus in 40 of 52 (77%) and 39 of 52 (75%) cases for reviewers 1 and 2, respectively. Agreement rates between the 2 reviewers were 84% overall (κ, 0.76; 95% confidence interval [CI], 0.64-0.88]) and 87% (κ, 0.79; 95% CI, 0.65-0.94) for the 52 scenarios with expert consensus. CONCLUSIONS Preventability ratings of HOB scenarios by 2 reviewers using a rating guide matched expert consensus in most cases with moderately high interreviewer reliability. Although diversity of expert opinions and uncertainty of preventability merit further exploration, this is a step toward standardized assessment of HOB preventability.
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Affiliation(s)
- Gregory M Schrank
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Anna Sick-Samuels
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susan C Bleasdale
- Department of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Jesse T Jacob
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Raymund Dantes
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Runa H Gokhale
- Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jeanmarie Mayer
- Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah
| | - Preeti Mehrotra
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Sapna A Mehta
- Department of Medicine, NYU Grossman School of Medicine, New York, New York
| | - Alfredo J Mena Lora
- Department of Medicine, University of Illinois at Chicago, Chicago, Illinois
| | - Susan M Ray
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Chanu Rhee
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | | | - Susan K Seo
- Department of Medicine, Joan and Sanford Weil Cornell Medical College, New York, New York
| | - Andi L Shane
- Department of Pediatrics, Emory University School of Medicine, Children's Healthcare of Atlanta, Atlanta, Georgia
| | - Gita Nadimpalli
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Aaron M Milstone
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Gwen Robinson
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Clayton H Brown
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Anthony D Harris
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
| | - Surbhi Leekha
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland
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Strategies to prevent central line-associated bloodstream infections in acute-care hospitals: 2022 Update. Infect Control Hosp Epidemiol 2022; 43:553-569. [PMID: 35437133 PMCID: PMC9096710 DOI: 10.1017/ice.2022.87] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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Lin MY, Trick WE. Computer Informatics for Infection Control. Infect Dis Clin North Am 2021; 35:755-769. [PMID: 34362542 DOI: 10.1016/j.idc.2021.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Computer informatics have the potential to improve infection control outcomes in surveillance, prevention, and public health. Surveillance activities include surveillance of infections, device use, and facility/ward outbreak detection and investigation. Prevention activities include awareness of multidrug-resistant organism carriage on admission, identification of high-risk individuals or populations, reducing device use, and antimicrobial stewardship. Enhanced communication with public health and other health care facilities across networks includes automated electronic communicable disease reporting, syndromic surveillance, and regional outbreak detection. Computerized public health networks may represent the next major evolution in infection control. This article reviews the use of informatics for infection control.
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Affiliation(s)
- Michael Y Lin
- Department of Medicine, Rush University Medical Center, 600 S. Paulina St., Suite 143, Chicago, IL, USA.
| | - William E Trick
- Department of Medicine, Rush University Medical Center, 600 S. Paulina St., Suite 143, Chicago, IL, USA; Center for Health Equity & Innovation, Health Research & Solutions, Cook County Health, 1950 W. Polk St., Suite 5807, Chicago, Illinois, USA
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van Mourik MSM. Getting it right: automated surveillance of healthcare-associated infections. Clin Microbiol Infect 2021; 27 Suppl 1:S1-S2. [PMID: 34217463 DOI: 10.1016/j.cmi.2021.02.030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 02/24/2021] [Accepted: 02/25/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Maaike S M van Mourik
- Department of Medical Microbiology, University Medical Center Utrecht, the Netherlands.
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van Mourik MSM, van Rooden SM, Abbas M, Aspevall O, Astagneau P, Bonten MJM, Carrara E, Gomila-Grange A, de Greeff SC, Gubbels S, Harrison W, Humphreys H, Johansson A, Koek MBG, Kristensen B, Lepape A, Lucet JC, Mookerjee S, Naucler P, Palacios-Baena ZR, Presterl E, Pujol M, Reilly J, Roberts C, Tacconelli E, Teixeira D, Tängdén T, Valik JK, Behnke M, Gastmeier P. PRAISE: providing a roadmap for automated infection surveillance in Europe. Clin Microbiol Infect 2021; 27 Suppl 1:S3-S19. [PMID: 34217466 DOI: 10.1016/j.cmi.2021.02.028] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 02/24/2021] [Accepted: 02/27/2021] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Healthcare-associated infections (HAI) are among the most common adverse events of medical care. Surveillance of HAI is a key component of successful infection prevention programmes. Conventional surveillance - manual chart review - is resource intensive and limited by concerns regarding interrater reliability. This has led to the development and use of automated surveillance (AS). Many AS systems are the product of in-house development efforts and heterogeneous in their design and methods. With this roadmap, the PRAISE network aims to provide guidance on how to move AS from the research setting to large-scale implementation, and how to ensure the delivery of surveillance data that are uniform and useful for improvement of quality of care. METHODS The PRAISE network brings together 30 experts from ten European countries. This roadmap is based on the outcome of two workshops, teleconference meetings and review by an independent panel of international experts. RESULTS This roadmap focuses on the surveillance of HAI within networks of healthcare facilities for the purpose of comparison, prevention and quality improvement initiatives. The roadmap does the following: discusses the selection of surveillance targets, different organizational and methodologic approaches and their advantages, disadvantages and risks; defines key performance requirements of AS systems and suggestions for their design; provides guidance on successful implementation and maintenance; and discusses areas of future research and training requirements for the infection prevention and related disciplines. The roadmap is supported by accompanying documents regarding the governance and information technology aspects of implementing AS. CONCLUSIONS Large-scale implementation of AS requires guidance and coordination within and across surveillance networks. Transitions to large-scale AS entail redevelopment of surveillance methods and their interpretation, intensive dialogue with stakeholders and the investment of considerable resources. This roadmap can be used to guide future steps towards implementation, including designing solutions for AS and practical guidance checklists.
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Affiliation(s)
- Maaike S M van Mourik
- Department of Medical Microbiology and Infection Control, University Medical Center Utrecht, the Netherlands.
| | - Stephanie M van Rooden
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands; Centre for Infectious Disease Epidemiology and Surveillance National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Mohamed Abbas
- Infection Control Programme, Geneva University Hospitals, Geneva, Switzerland
| | - Olov Aspevall
- Unit for Surveillance and Coordination, Public Health Agency of Sweden, Solna, Sweden
| | - Pascal Astagneau
- Centre for Prevention of Healthcare-Associated Infections, Assistance Publique - Hôpitaux de Paris & Faculty of Medicine, Sorbonne University, Paris, France
| | - Marc J M Bonten
- Department of Medical Microbiology and Infection Control, University Medical Center Utrecht, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Elena Carrara
- Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Italy
| | - Aina Gomila-Grange
- Infectious Diseases Unit, Bellvitge Biomedical Research Institute (IDIBELL), Bellvitge University Hospital, Barcelona, Infectious Diseases Unit, Consorci Corporació Sanitària Parc Taulí, Barcelona, Spain
| | - Sabine C de Greeff
- Centre for Infectious Disease Epidemiology and Surveillance National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Sophie Gubbels
- Data Integration and Analysis Secretariat, Statens Serum Institut, Copenhagen, Denmark
| | - Wendy Harrison
- Healthcare Associated Infections, Antimicrobial Resistance and Prescribing Programme (HARP), Public Health Wales, UK
| | - Hilary Humphreys
- Department of Clinical Microbiology, The Royal College of Surgeons in Ireland, Department of Microbiology, Beaumont Hospital, Dublin, Ireland
| | | | - Mayke B G Koek
- Centre for Infectious Disease Epidemiology and Surveillance National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Brian Kristensen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Alain Lepape
- Clinical Research Unit, Department of Intensive Care, Centre Hospitalier Universitaire Lyon Sud 69495, Pierre-Bénite, France
| | - Jean-Christophe Lucet
- Infection Control Unit, Hôpital Bichat-Claude Bernard Assistance Publique - Hôpitaux de Paris, Paris, France
| | - Siddharth Mookerjee
- Infection Prevention and Control Department, Imperial College Healthcare NHS Trust, UK
| | - Pontus Naucler
- Department of Medicine Solna, Division of Infectious Diseases, Karolinska Institutet and Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Zaira R Palacios-Baena
- Unit of Infectious Diseases, Clinical Microbiology and Preventive Medicine, Hospital Universitario Virgen Macarena, Institute of Biomedicine of Seville (I. BIS), Sevilla, Spain
| | - Elisabeth Presterl
- Department of Infection Control and Hospital Epidemiology, Medical University of Vienna, Austria
| | - Miquel Pujol
- Infectious Diseases Unit, Bellvitge Biomedical Research Institute (IDIBELL), Bellvitge University Hospital, Barcelona, Infectious Diseases Unit, Consorci Corporació Sanitària Parc Taulí, Barcelona, Spain
| | - Jacqui Reilly
- Safeguarding Health Through Infection Prevention Research Group, Institute for Applied Health Research, Glasgow Caledonian University, Scotland, UK
| | - Christopher Roberts
- Healthcare Associated Infections, Antimicrobial Resistance and Prescribing Programme (HARP), Public Health Wales, UK
| | - Evelina Tacconelli
- Infectious Diseases, Research Clinical Unit, DZIF Center, University Hospital Tübingen, Germany; Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Italy
| | - Daniel Teixeira
- Infection Control Programme, Geneva University Hospitals, Geneva, Switzerland
| | - Thomas Tängdén
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - John Karlsson Valik
- Department of Medicine Solna, Division of Infectious Diseases, Karolinska Institutet and Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Michael Behnke
- National Reference Center for Surveillance of nosocomial Infections, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
| | - Petra Gastmeier
- National Reference Center for Surveillance of nosocomial Infections, Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany
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Electronic Measurement of a Clinical Quality Measure for Inpatient Hypoglycemic Events: A Multicenter Validation Study. Med Care 2020; 58:927-933. [PMID: 32833937 DOI: 10.1097/mlr.0000000000001398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Hypoglycemia related to antidiabetic drugs (ADDs) is important iatrogenic harm in hospitalized patients. Electronic identification of ADD-related hypoglycemia may be an efficient, reliable method to inform quality improvement. OBJECTIVE Develop electronic queries of electronic health records for facility-wide and unit-specific inpatient hypoglycemia event rates and validate query findings with manual chart review. METHODS Electronic queries were created to associate blood glucose (BG) values with ADD administration and inpatient location in 3 tertiary care hospitals with Patient-Centered Outcomes Research Network (PCORnet) databases. Queries were based on National Quality Forum criteria with hypoglycemia thresholds <40 and <54 mg/dL, and validated using a stratified random sample of 321 BG events. Sensitivity and specificity were calculated with manual chart review as the reference standard. RESULTS The sensitivity and specificity of queries for hypoglycemia events were 97.3% [95% confidence interval (CI), 90.5%-99.7%] and 100.0% (95% CI, 92.6%-100.0%), respectively for BG <40 mg/dL, and 97.7% (95% CI, 93.3%-99.5%) and 100.0% (95% CI, 95.3%-100.0%), respectively for <54 mg/dL. The sensitivity and specificity of the query for identifying ADD days were 91.8% (95% CI, 89.2%-94.0%) and 99.0% (95% CI, 97.5%-99.7%). Of 48 events missed by the queries, 37 (77.1%) were due to incomplete identification of insulin administered by infusion. Facility-wide hypoglycemia rates were 0.4%-0.8% (BG <40 mg/dL) and 1.9%-3.0% (BG <54 mg/dL); rates varied by patient care unit. CONCLUSIONS Electronic queries can accurately identify inpatient hypoglycemia. Implementation in non-PCORnet-participating facilities should be assessed, with particular attention to patient location and insulin infusions.
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Gazzarata R, Monteverde ME, Ruggiero C, Maggi N, Palmieri D, Parruti G, Giacomini M. Healthcare Associated Infections: An Interoperable Infrastructure for Multidrug Resistant Organism Surveillance. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E465. [PMID: 31936787 PMCID: PMC7013448 DOI: 10.3390/ijerph17020465] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 12/25/2019] [Accepted: 12/30/2019] [Indexed: 01/26/2023]
Abstract
Prevention and surveillance of healthcare associated infections caused by multidrug resistant organisms (MDROs) has been given increasing attention in recent years and is nowadays a major priority for health care systems. The creation of automated regional, national and international surveillance networks plays a key role in this respect. A surveillance system has been designed for the Abruzzo region in Italy, focusing on the monitoring of the MDROs prevalence in patients, on the appropriateness of antibiotic prescription in hospitalized patients and on foreseeable interactions with other networks at national and international level. The system has been designed according to the Service Oriented Architecture (SOA) principles, and Healthcare Service Specification (HSSP) standards and Clinical Document Architecture Release 2 (CDAR2) have been adopted. A description is given with special reference to implementation state, specific design and implementation choices and next foreseeable steps. The first release will be delivered at the Complex Operating Unit of Infectious Diseases of the Local Health Authority of Pescara (Italy).
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Affiliation(s)
| | | | - Carmelina Ruggiero
- Healthropy S.r.l., 17100 Savona, Italy (C.R.); (N.M.); (M.G.)
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova, 16145 Genoa, Italy
| | - Norbert Maggi
- Healthropy S.r.l., 17100 Savona, Italy (C.R.); (N.M.); (M.G.)
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova, 16145 Genoa, Italy
| | - Dalia Palmieri
- Epidemiology Office, Azienda Unità Sanitaria Locale (AUSL) di Pescara, 65124 Pescara, Italy;
| | - Giustino Parruti
- Department of Infectious Disease, Azienda Sanitaria Locale (AUSL) di Pescara, 65124 Pescara, Italy;
| | - Mauro Giacomini
- Healthropy S.r.l., 17100 Savona, Italy (C.R.); (N.M.); (M.G.)
- Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova, 16145 Genoa, Italy
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14
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van Mourik MSM, Perencevich EN, Gastmeier P, Bonten MJM. Designing Surveillance of Healthcare-Associated Infections in the Era of Automation and Reporting Mandates. Clin Infect Dis 2019. [PMID: 29514241 DOI: 10.1093/cid/cix835] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Surveillance and feedback of infection rates to clinicians and other stakeholders is a cornerstone of healthcare-associated infection (HAI) prevention programs. In addition, HAIs are increasingly included in public reporting and payment mandates. Conventional manual surveillance methods are resource intensive and lack standardization. Developments in information technology have propelled a movement toward the use of standardized and semiautomated methods.When developing automated surveillance systems, several strategies can be chosen with regard to the degree of automation and standardization and the definitions used. Yet, the advantages of highly standardized surveillance may come at the price of decreased clinical relevance and limited preventability. The choice among (automated) surveillance approaches, therefore, should be guided by the intended aim and scale of surveillance (eg, research, in-hospital quality improvement, national surveillance, or pay-for-performance mandates), as this choice dictates subsequent methods, important performance characteristics, and suitability of the data generated for the different applications.
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Affiliation(s)
- Maaike S M van Mourik
- Department of Medical Microbiology and Infection Control, University Medical Center Utrecht, The Netherlands
| | - Eli N Perencevich
- Department of Internal Medicine, University of Iowa Carver College of Medicine and Iowa City VA Health Care System
| | - Petra Gastmeier
- Institute of Hygiene and Environmental Medicine, Charité-University Medicine, Berlin, Germany
| | - Marc J M Bonten
- Department of Medical Microbiology and Infection Control, Bilthoven, The Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Bilthoven, The Netherlands.,Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
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15
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Baghdadi J, Harris AD. Working Toward Better Metrics for Nonventilator Hospital-Acquired Pneumonia. JAMA Netw Open 2019; 2:e1913662. [PMID: 31626311 DOI: 10.1001/jamanetworkopen.2019.13662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Jonathan Baghdadi
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore
| | - Anthony D Harris
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore
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16
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A systematic review of central-line-associated bloodstream infection (CLABSI) diagnostic reliability and error. Infect Control Hosp Epidemiol 2019; 40:1100-1106. [PMID: 31362804 DOI: 10.1017/ice.2019.205] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To establish the reliability of the application of National Health and Safety Network (NHSN) central-line-associated bloodstream infection (CLABSI) criteria within established reporting systems internationally. DESIGN Diagnostic-test accuracy systematic review. METHODS We conducted a search of Medline, SCOPUS, the Cochrane Library, CINAHL (EbscoHost), and PubMed (NCBI). Cohort studies were eligible for inclusion if they compared publicly reported CLABSI rates and were conducted by independent and expertly trained reviewers using NHSN/Centers for Disease Control (or equivalent) criteria. Two independent reviewers screened, extracted data, and assessed risk of bias using the QUADAS 2 tool. Sensitivity, specificity, negative and positive predictive values were analyzed. RESULTS A systematic search identified 1,259 publications; 9 studies were eligible for inclusion (n = 7,160 central lines). Publicly reported CLABSI rates were more likely to be underestimated (7 studies) than overestimated (2 studies). Specificity ranged from 0.70 (95% confidence interval [CI], 0.58-0.81) to 0.99 (95% CI, 0.99-1.00) and sensitivity ranged from 0.42 (95% CI, 0.15-0.72) to 0.88 (95% CI, 0.77-0.95). Four studies, which included a consecutive series of patients (whole cohort), reported CLABSI incidence between 9.8% and 20.9%, and absolute CLABSI rates were underestimated by 3.3%-4.4%. The risk of bias was low to moderate in most included studies. CONCLUSIONS Our findings suggest consistent underestimation of true CLABSI incidence within publicly reported rates, weakening the validity and reliability of surveillance measures. Auditing, education, and adequate resource allocation is necessary to ensure that surveillance data are accurate and suitable for benchmarking and quality improvement measures over time. REGISTRATION Prospectively registered with International prospective register of systematic reviews (PROSPERO ID CRD42015021989; June 7, 2015). https://www.crd.york.ac.uk/PROSPERO/display_record.php?ID%3dCRD42015021989.
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17
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Menaker J, Galvagno S, Rabinowitz R, Penchev V, Hollis A, Kon Z, Deatrick K, Amoroso A, Herr D, Mazzeffi M. Epidemiology of blood stream infection in adult extracorporeal membrane oxygenation patients: A cohort study. Heart Lung 2019; 48:236-239. [DOI: 10.1016/j.hrtlng.2019.01.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 01/04/2019] [Accepted: 01/13/2019] [Indexed: 12/12/2022]
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18
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A state of the art review on optimal practices to prevent, recognize, and manage complications associated with intravascular devices in the critically ill. Intensive Care Med 2018; 44:742-759. [PMID: 29754308 DOI: 10.1007/s00134-018-5212-y] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Accepted: 05/05/2018] [Indexed: 12/14/2022]
Abstract
Intravascular catheters are inserted into almost all critically ill patients. This review provides up-to-date insight into available knowledge on epidemiology and diagnosis of complications of central vein and arterial catheters in ICU. It discusses the optimal therapy of catheter-related infections and thrombosis. Prevention of complications is a multidisciplinary task that combines both improvement of the process of care and introduction of new technologies. We emphasize the main component of the prevention strategies that should be used in critical care and propose areas of future investigation in this field.
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19
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Garcia RA, Spitzer ED, Kranz B, Barnes S. A national survey of interventions and practices in the prevention of blood culture contamination and associated adverse health care events. Am J Infect Control 2018; 46:571-576. [PMID: 29361361 DOI: 10.1016/j.ajic.2017.11.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 11/09/2017] [Accepted: 11/09/2017] [Indexed: 01/09/2023]
Abstract
The scientific literature indicates that blood culture contamination often leads to inappropriate antimicrobial treatment, adverse patient occurrences, and potential reporting of false-positive central line-associated bloodstream infections. The findings of a national infection prevention survey of blood culture practices and related interventions in hospitals support the need for infection preventionists to expand their participation in the review of topics related to the ordering and collection of blood for culture.
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Affiliation(s)
- Robert A Garcia
- Healthcare Epidemiology Department, Stony Brook University Hospital, Stony Brook, NY.
| | - Eric D Spitzer
- Department of Pathology, Director of Clinical Laboratories, Stony Brook University Hospital, Stony Brook, NY
| | - Barbara Kranz
- Healthcare Epidemiology Department, Stony Brook University Hospital, Stony Brook, NY
| | - Sue Barnes
- Independent Clinical Consultant, Infection Prevention and Control, Stony Brook, NY
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20
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Sanger PC, Granich M, Olsen-Scribner R, Jain R, Lober WB, Stapleton A, Pottinger PS. Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2018; 2017:1507-1516. [PMID: 29854220 PMCID: PMC5977673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated infection, yet measuring it accurately is challenging and resource-intensive. Electronic surveillance promises to make this task more objective and efficient in an era of new financial and regulatory imperatives, but previous surveillance approaches have used a simplified version of the definition. We applied a complete definition, including subjective elements identified through natural language processing of clinical notes. Through examination of documentation practices, we defined a set of rules that identified positively and negatively asserted symptoms of CAUTI. Our algorithm was developed on a training set of 1421 catheterizedpatients and prospectively validated on 1567 catheterizedpatients. Compared to gold standard chart review, our tool had a sensitivity of 97.1%, specificity of 94.5% PPV of 66.7% and NPV of 99.6% for identifying CAUTI. We discuss sources of error and suggestions for more computable future definitions.
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21
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Baskin KM, Durack JC, Abu-Elmagd K, Doellman D, Drews BB, Journeycake JM, Kocoshis SA, McLennan G, Rupp SM, Towbin RB, Wasse H, Mermel LA, Toomay SM, Camillus JC, Ahrar K, White SB. Chronic Central Venous Access: From Research Consensus Panel to National Multistakeholder Initiative. J Vasc Interv Radiol 2018; 29:461-469. [DOI: 10.1016/j.jvir.2017.12.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 12/11/2017] [Accepted: 12/12/2017] [Indexed: 10/18/2022] Open
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22
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Chen L, Chan JA, Alligood E, Rosen AK, Borzecki AM. Does Surveillance Bias Influence the Validity of Measures of Inpatient Complications? A Systematic Review. Am J Med Qual 2017; 33:291-302. [PMID: 28958153 DOI: 10.1177/1062860617730900] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Surveillance bias may threaten the accuracy of inpatient complication measures. A systematic literature review was conducted to examine whether surveillance bias influences the validity of selected Patient Safety Indicator- and health care associated infection-related measures. Ten venous thromboembolism (VTE) articles were identified: 7 trauma related, 3 postoperative, and 1 central line-associated bloodstream infection (CLABSI) article. Nine VTE articles found positive associations between deep vein thrombosis imaging and VTE diagnoses. Because imaging also may be symptom driven, most studies performed additional analyses to corroborate findings. Six trauma-related and 2 postoperative VTE studies concluded that surveillance bias was present, the latter based on circumstantial evidence. The non-VTE study found a significant positive correlation between surveillance aggressiveness and intensive care unit CLABSI rates. Even considering VTE, relatively little is known about the impact of surveillance bias on inpatient complication measures. Given the implications of misclassifying hospitals on quality, this issue requires further investigation using more direct measurement methods.
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Affiliation(s)
- Liang Chen
- 1 Bedford VA Medical Center, Bedford, MA.,2 Boston University School of Public Health, Boston, MA.,3 Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | | | | | | | - Ann M Borzecki
- 1 Bedford VA Medical Center, Bedford, MA.,2 Boston University School of Public Health, Boston, MA.,5 Boston University School of Medicine, Boston, MA
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23
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Xie Y, Tu B, Xu Z, Zhang X, Bi J, Zhao M, Chen W, Shi L, Zhao P, Bao C, Qin E, Xu D. Bacterial distributions and prognosis of bloodstream infections in patients with liver cirrhosis. Sci Rep 2017; 7:11482. [PMID: 28904387 PMCID: PMC5597589 DOI: 10.1038/s41598-017-11587-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 08/24/2017] [Indexed: 12/18/2022] Open
Abstract
Bloodstream infections (BSIs) are a frequently observed complication in liver cirrhosis patients. This study aimed to investigate the microbiological characteristics and outcomes of BSIs in patients with liver cirrhosis. We retrospectively studied 852 patients with liver cirrhosis who developed a BSI. Patient outcome was evaluated using 30-day mortality and assessed using multivariate stepwise logistic regression analysis. Antibiotic sensitivity of the pathogens was tested. Gram-negative bacteria were responsible for 59.6% of BSIs, and Gram-positive bacteria caused 40.4% of the episodes among liver cirrhosis patients. The bacterial distribution significantly differed between hospital-acquired and community-acquired infections, especially in cases caused by Gram-negative pathogens. The results of the drug sensitivity test suggested that amikacin, cefoperazone/sulbactam, and piperacillin/tazobactam highly suppressed Gram-negative infections, while vancomycin and teicoplanin strongly inhibited Gram-positive BSIs. Liver failure, liver cancer, complications, Child-Pugh grade, septic shock, administration of appropriate antibiotics within 24 h, ICU admission, nosocomial infection, and Gram nature of the bacteria were independent risk factors for 30-day mortality (P < 0.05). The choice of initial empirical antibiotics should be based on the type, severity and origin of infection and on the local epidemiological data on antibiotic resistance. Accurate evaluation of risk factors for mortality may improve appropriate therapeutic choice.
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Affiliation(s)
- Yangxin Xie
- Medical School of Chinese PLA, Beijing, China.,Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China
| | - Bo Tu
- Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China
| | - Zhe Xu
- Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China
| | - Xin Zhang
- Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China
| | - Jingfeng Bi
- Research Center for Clinical & Translational Medicine, Beijing 302 Hospital, Beijing, China
| | - Min Zhao
- Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China
| | - Weiwei Chen
- Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China
| | - Lei Shi
- Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China
| | - Peng Zhao
- Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China
| | - Chunmei Bao
- Clinical Laboratory Center, Beijing 302 Hospital, Beijing, China
| | - Enqiang Qin
- Treatment and Research Center for Infectious Diseases, Beijing 302 Hospital, Beijing, China.
| | - Dongping Xu
- Medical School of Chinese PLA, Beijing, China. .,Research Center for Clinical & Translational Medicine, Beijing 302 Hospital, Beijing, China.
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24
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Rupp ME, Majorant D. Prevention of Vascular Catheter-Related Bloodstream Infections. Infect Dis Clin North Am 2017; 30:853-868. [PMID: 27816140 DOI: 10.1016/j.idc.2016.07.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Catheter-related bloodstream infections (CRBSI) are responsible for significant morbidity, mortality, and excess health care costs. It is increasingly evident that many CRBSI can be prevented with current knowledge and techniques. Preventive measures can be broadly grouped into clinical practice-based interventions and technologic innovations. Clinical practice-based interventions require changes in human behavior and can be subdivided into interventions before and at the time of insertion and postinsertion. Despite recent successes with prevention of CRBSI, pertinent questions regarding pathogenesis and prevention remain unanswered and work on improved surveillance, devices less prone to infection, and more effective prevention techniques are needed.
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Affiliation(s)
- Mark E Rupp
- Division of Infectious Diseases, University of Nebraska Medical Center, 985400 Nebraska Medical Center, Omaha, NE 68198, USA.
| | - Denisa Majorant
- Division of Infectious Diseases, University of Nebraska Medical Center, 984031 Nebraska Medical Center, Omaha, NE 68198, USA
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25
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Wright MO, Allen-Bridson K, Hebden JN. Assessment of the accuracy and consistency in the application of standardized surveillance definitions: A summary of the American Journal of Infection Control and National Healthcare Safety Network case studies, 2010-2016. Am J Infect Control 2017; 45:607-611. [PMID: 28549513 DOI: 10.1016/j.ajic.2017.03.035] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 03/30/2017] [Accepted: 03/31/2017] [Indexed: 11/25/2022]
Abstract
BACKGROUND The Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN) surveillance definitions are the most widely used criteria for health care-associated infection (HAI) surveillance. NHSN participants agree to conduct surveillance in accordance with the NHSN protocol and criteria. To assess the application of these standardized surveillance specifications and offer infection preventionists (IPs) opportunities for ongoing education, a series of case studies, with questions related to NHSN definitions and criteria were published. METHODS Beginning in 2010, case studies with multiple-choice questions based on standard surveillance criteria and protocols were written and published in the American Journal of Infection Control with a link to an online survey. Participants anonymously submitted their responses before receiving the correct answers. RESULTS The 22 case studies had 7,950 respondents who provided 27,790 responses to 75 questions during the first 6 years. Correct responses were selected 62.5% of the time (17,376 out of 27,290), but ranged widely (16%-87%). In a subset analysis, 93% of participants self-identified as IPs (3,387 out of 3,640), 4.5% were public health professionals (163 out of 3,640), and 2.5% were physicians (90 out of 3,640). IPs responded correctly (62%) more often than physicians (55%) (P = .006). CONCLUSIONS Among a cohort of voluntary participants, accurate application of surveillance criteria to case studies was suboptimal, highlighting the need for continuing education, competency development, and auditing.
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26
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National Automated Surveillance of Hospital-Acquired Bacteremia in Denmark Using a Computer Algorithm. Infect Control Hosp Epidemiol 2017; 38:559-566. [PMID: 28274300 DOI: 10.1017/ice.2017.1] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND In 2015, Denmark launched an automated surveillance system for hospital-acquired infections, the Hospital-Acquired Infections Database (HAIBA). OBJECTIVE To describe the algorithm used in HAIBA, to determine its concordance with point prevalence surveys (PPSs), and to present trends for hospital-acquired bacteremia SETTING Private and public hospitals in Denmark METHODS A hospital-acquired bacteremia case was defined as at least 1 positive blood culture with at least 1 pathogen (bacterium or fungus) taken between 48 hours after admission and 48 hours after discharge, using the Danish Microbiology Database and the Danish National Patient Registry. PPSs performed in 2012 and 2013 were used for comparison. RESULTS National trends showed an increase in HA bacteremia cases between 2010 and 2014. Incidence was higher for men than women (9.6 vs 5.4 per 10,000 risk days) and was highest for those aged 61-80 years (9.5 per 10,000 risk days). The median daily prevalence was 3.1% (range, 2.1%-4.7%). Regional incidence varied from 6.1 to 8.1 per 10,000 risk days. The microorganisms identified were typical for HA bacteremia. Comparison of HAIBA with PPS showed a sensitivity of 36% and a specificity of 99%. HAIBA was less sensitive for patients in hematology departments and intensive care units. Excluding these departments improved the sensitivity of HAIBA to 44%. CONCLUSIONS Although the estimated sensitivity of HAIBA compared with PPS is low, a PPS is not a gold standard. Given the many advantages of automated surveillance, HAIBA allows monitoring of HA bacteremia across the healthcare system, supports prioritizing preventive measures, and holds promise for evaluating interventions. Infect Control Hosp Epidemiol 2017;38:559-566.
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27
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Quantifying Antimicrobial Exposure: Hazards in Populations With End-Stage Renal Disease. Infect Control Hosp Epidemiol 2016; 38:360-363. [PMID: 27917747 DOI: 10.1017/ice.2016.290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Using a rigorously collected data set of antimicrobial use among patients receiving chronic hemodialysis, antimicrobial use was calculated using 3 different methodologies: daily defined dose, days of therapy, and start-stop days. Estimates of antimicrobial use varied by as much as 10-fold, depending on the type of antimicrobial. Infect Control Hosp Epidemiol 2017;38:360-363.
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28
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29
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Prevalence and Data Transparency of National Clinical Registries in the United States. J Healthc Qual 2016; 38:223-34. [DOI: 10.1097/jhq.0000000000000001] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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30
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Strategies to Prevent Central Line-Associated Bloodstream Infections in Acute Care Hospitals: 2014 Update. Infect Control Hosp Epidemiol 2016. [DOI: 10.1017/s0899823x00193870] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Previously published guidelines are available that provide comprehensive recommendations for detecting and preventing healthcare-associated infections (HAIs). The intent of this document is to highlight practical recommendations in a concise format designed to assist acute care hospitals in implementing and prioritizing their central line-associated bloodstream infection (CLABSI) prevention efforts. This document updates “Strategies to Prevent Central Line-Associated Bloodstream Infections in Acute Care Hospitals,” published in 2008. This expert guidance document is sponsored by the Society for Healthcare Epidemiology of America (SHEA) and is the product of a collaborative effort led by SHEA, the Infectious Diseases Society of America (IDSA), the American Hospital Association (AHA), the Association for Professionals in Infection Control and Epidemiology (APIC), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise. The list of endorsing and supporting organizations is presented in the introduction to the 2014 updates.
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31
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Ridgway JP, Sun X, Tabak YP, Johannes RS, Robicsek A. Performance characteristics and associated outcomes for an automated surveillance tool for bloodstream infection. Am J Infect Control 2016; 44:567-71. [PMID: 26899530 DOI: 10.1016/j.ajic.2015.12.044] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 12/17/2015] [Accepted: 12/23/2015] [Indexed: 11/29/2022]
Abstract
BACKGROUND The objective of this study was to evaluate performance metrics and associated patient outcomes of an automated surveillance system, the blood Nosocomial Infection Marker (NIM). METHODS We reviewed records of 237 patients with and 36,927 patients without blood NIM using the National Healthcare Safety Network (NHSN) definition for laboratory-confirmed bloodstream infection (BSI) as the gold standard. We matched cases with noncases by propensity score and estimated attributable mortality and cost of NHSN-reportable central line-associated bloodstream infections (CLABSIs) and non-NHSN-reportable BSIs. RESULTS For patients with central lines (CL), the blood NIM had 73.2% positive predictive value (PPV), 99.9% negative predictive value (NPV), 89.2% sensitivity, and 99.7% specificity. For all patients regardless of CL status, the blood NIM had 53.6% PPV, 99.9% NPV, 84.0% sensitivity, and 99.9% specificity. For CLABSI cases compared with noncases, mortality was 17.5% versus 9.4% (P = .098), and median charge was $143,935 (interquartile range [IQR], $89,794-$257,447) versus $115,267 (IQR, $74,937-$173,053) (P < .01). For non-NHSN-reportable BSI cases compared with noncases, mortality was 23.6% versus 6.7% (P < .0001), and median charge was $86,927 (IQR, $54,728-$156,669) versus $62,929 (IQR, $36,743-$115,693) (P < .0001). CONCLUSIONS The NIM is an effective screening tool for BSI. Both NHSN-reportable and nonreportable BSI cases were associated with increased mortality and cost.
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Affiliation(s)
| | | | | | | | - Ari Robicsek
- Department of Medicine, NorthShore University HealthSystem, Evanston, IL; Pritzker School of Medicine, University of Chicago, Chicago, IL; Department of Health Information Technology, NorthShore University HealthSystem, Evanston, IL
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32
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Barnes H, Rearden J, McHugh MD. Magnet® Hospital Recognition Linked to Lower Central Line-Associated Bloodstream Infection Rates. Res Nurs Health 2016; 39:96-104. [PMID: 26809115 PMCID: PMC4806525 DOI: 10.1002/nur.21709] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/05/2016] [Indexed: 01/23/2023]
Abstract
Central-line-associated bloodstream infections (CLABSI) are among the deadliest heathcare-associated infections, with an estimated 12-25% mortality rate. In 2014, the Centers for Medicare and Medicaid Services (CMS) began to penalize hospitals for poor performance with respect to selected hospital-acquired conditions, including CLABSI. A structural factor associated with high-quality nursing care and better patient outcomes is The Magnet Recognition Program®. The purpose of this study was to explore the relationship between Magnet status and hospital CLABSI rates. We used propensity score matching to match Magnet and non-Magnet hospitals with similar hospital characteristics. In a matched sample of 291 Magnet hospitals and 291 non-Magnet hospitals, logistic regression models were used to examine whether there was a link between Magnet status and CLABSI rates. Both before and after matching, Magnet hospital status was associated with better (lower than the national average) CLABSI rates (OR = 1.60, 95%CI: 1.10, 2.33 after matching). While established programs such as Magnet recognition are consistently correlated with high-quality nursing work environments and positive patient outcomes, additional research is needed to determine whether Magnet designation produces positive patient outcomes or rewards existing excellence.
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Affiliation(s)
- Hilary Barnes
- Postdoctoral Research Fellow, Center for Health Outcomes and Policy Research University of Pennsylvania School of Nursing, 418 Curie Blvd., Room 388R, Philadelphia, PA, 19104
| | - Jessica Rearden
- Postdoctoral Research Fellow, Center for Health Outcomes and Policy Research, University of Pennsylvania School of Nursing, Philadelphia, PA
| | - Matthew D McHugh
- Associate Director, Center for Health Outcomes and Policy Research The Rosemarie Greco Term Endowed Associate Professorship in Advocacy, University of Pennsylvania School of Nursing, Philadelphia, PA
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Necessary Infrastructure of Infection Prevention and Healthcare Epidemiology Programs: A Review. Infect Control Hosp Epidemiol 2016; 37:371-80. [PMID: 26832072 DOI: 10.1017/ice.2015.333] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The scope of a healthcare institution's infection prevention and control/healthcare epidemiology program (IPC/HE) should be driven by the size and complexity of the patient population served, that population's risk for healthcare-associated infection (HAI), and local, state, and national regulatory and accreditation requirements. Essential activities of all IPC/HE programs include but are not limited to the following: ∙ Surveillance.∙ Performance improvement to reduce HAI ∙ Acute event response, including outbreak investigation ∙ Education and training of both healthcare personnel and patients ∙ Reporting of HAI to the Centers for Disease Control and Prevention's National Healthcare Safety Network as well as entities required by law.
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A national Infection in Critical Care Quality Improvement Programme for England: A survey of stakeholder priorities and preferences. J Intensive Care Soc 2016; 17:27-37. [PMID: 28979455 DOI: 10.1177/1751143715598791] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Severe infection is one of the most common causes of critical illness. Healthcare-associated infections complicating critical illness bring the additional challenge of multidrug resistance. However, England lacks a national surveillance system for infections in intensive care units. Prior experience with surveillance systems suggests that they are most effective when placed within a collaborative quality improvement framework. METHOD A national survey of adult, paediatric and neonatal intensive care doctors, nurses, microbiologists and infection control practitioners was undertaken throughout the UK to determine stakeholder engagement. RESULTS Of 763 respondents (80% ICU physicians; 8% nurses) from 158 hospital Trusts across the UK, 721 (94.4%) supported establishing a surveillance system; 63.5% preferred that data collection be mandatory; 47.5% considered that the work should be undertaken within existing resources. Respondents prioritised catheter-associated and multidrug resistant infections. Free-text responses demonstrated strong support for using the data for epidemiological information and benchmarking for quality improvement. DISCUSSION The survey provides a satisfactory foundation for establishing a national surveillance system for infection prevention and control in critical care in England.
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Rock C, Thom KA, Harris AD, Li S, Morgan D, Milstone AM, Caffo B, Joshi M, Leekha S. A Multicenter Longitudinal Study of Hospital-Onset Bacteremia: Time for a New Quality Outcome Measure? Infect Control Hosp Epidemiol 2016; 37:143-8. [PMID: 26493213 PMCID: PMC4731295 DOI: 10.1017/ice.2015.261] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Central-line-associated bloodstream infection (CLABSI) rate is an important quality measure, but it suffers from subjectivity and interrater variability, and decreasing national CLABSI rates may compromise its power to discriminate between hospitals. This study evaluates hospital-onset bacteremia (HOB, ie, any positive blood culture obtained 48 hours post admission) as a healthcare-associated infection-related outcome measure by assessing the association between HOB and CLABSI rates and comparing the power of each to discriminate quality among intensive care units (ICUs). METHODS In this multicenter study, ICUs provided monthly CLABSI and HOB rates for 2012 and 2013. A Poisson regression model was used to assess the association between these 2 rates. We compared the power of each measure to discriminate between ICUs using standardized infection ratios (SIRs) with 95% confidence intervals (CIs). A measure was defined as having greater power to discriminate if more of the SIRs (with surrounding CIs) were different from 1. RESULTS In 80 ICUs from 16 hospitals in the United States and Canada, a total of 663 CLABSIs, 475,420 central line days, 11,280 HOBs, and 966,757 patient days were reported. An absolute change in HOB of 1 per 1,000 patient days was associated with a 2.5% change in CLABSI rate (P<.001). Among the 80 ICUs, 20 (25%) had a CLABSI SIR and 60 (75%) had an HOB SIR that was different from 1 (P<.001). CONCLUSION Change in HOB rate is strongly associated with change in CLABSI rate and has greater power to discriminate between ICU performances. Consideration should be given to using HOB to replace CLABSI as an outcome measure in infection prevention quality assessments.
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Affiliation(s)
- Clare Rock
- 1Department of Medicine,Division of Infectious Diseases,Johns Hopkins University,Baltimore,Maryland
| | - Kerri A Thom
- 2Department of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland
| | - Anthony D Harris
- 2Department of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland
| | - Shanahan Li
- 3Department of Biostatistics,Indiana University Fairbanks School of Public Health,Indianapolis,Indiana
| | - Daniel Morgan
- 2Department of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland
| | - Aaron M Milstone
- 4Department of Pediatrics,Division of Pediatric Infectious Diseases,Johns Hopkins University School of Medicine,Baltimore,Maryland
| | - Brian Caffo
- 5Department of Biostatistics,Bloomberg School of Public Health,Johns Hopkins University,Baltimore,Maryland
| | - Manjari Joshi
- 6Division of Infectious Diseases,University of Maryland Medical Center,School of Medicine,Baltimore,Maryland
| | - Surbhi Leekha
- 2Department of Epidemiology and Public Health,University of Maryland School of Medicine,Baltimore,Maryland
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Woeltje KF, Lin MY, Klompas M, Wright MO, Zuccotti G, Trick WE. Data requirements for electronic surveillance of healthcare-associated infections. Infect Control Hosp Epidemiol 2015; 35:1083-91. [PMID: 25111915 DOI: 10.1086/677623] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Electronic surveillance for healthcare-associated infections (HAIs) is increasingly widespread. This is driven by multiple factors: a greater burden on hospitals to provide surveillance data to state and national agencies, financial pressures to be more efficient with HAI surveillance, the desire for more objective comparisons between healthcare facilities, and the increasing amount of patient data available electronically. Optimal implementation of electronic surveillance requires that specific information be available to the surveillance systems. This white paper reviews different approaches to electronic surveillance, discusses the specific data elements required for performing surveillance, and considers important issues of data validation.
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Affiliation(s)
- Keith F Woeltje
- Center for Clinical Excellence, BJC HealthCare, and Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
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Probabilistic Measurement of Central Line–Associated Bloodstream Infections. Infect Control Hosp Epidemiol 2015; 37:149-55. [DOI: 10.1017/ice.2015.255] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVETo develop a probabilistic method for measuring central line–associated bloodstream infection (CLABSI) rates that reduces the variability associated with traditional, manual methods of applying CLABSI surveillance definitions.DESIGNMulticenter retrospective cohort study of bacteremia episodes among patients hospitalized in adult patient-care units; the study evaluated presence of CLABSI.SETTINGHospitals that used SafetySurveillor software system (Premier) and who also reported to the Centers for Disease Control and Prevention’s National Healthcare Safety Network (NHSN).PATIENTSPatients were identified from a stratified sample from all eligible blood culture isolates from all eligible hospital units to generate a final set with an equal distribution (ie, 20%) from each unit type. Units were divided a priori into 5 major groups: medical intensive care unit, surgical intensive care unit, medical-surgical intensive care unit, hematology unit, or general medical wards.INTERVENTIONSEpisodes were reviewed by 2 experts, and a selection of discordant reviews were re-reviewed. Data were joined with NHSN data for hospitals for in-plan months. A predictive model was created; model performance was assessed using the c statistic in a validation set and comparison with NHSN reported rates for in-plan months.RESULTSA final model was created with predictors of CLABSI. The c statistic for the final model was 0.75 (0.68–0.80). Rates from regression modeling correlated better with expert review than NHSN-reported rates.CONCLUSIONSThe use of a regression model based on the clinical characteristics of the bacteremia outperformed traditional infection preventionist surveillance compared with an expert-derived reference standard.Infect. Control Hosp. Epidemiol. 2016;37(2):149–155
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Garcia RA, Spitzer ED, Beaudry J, Beck C, Diblasi R, Gilleeny-Blabac M, Haugaard C, Heuschneider S, Kranz BP, McLean K, Morales KL, Owens S, Paciella ME, Torregrosa E. Multidisciplinary team review of best practices for collection and handling of blood cultures to determine effective interventions for increasing the yield of true-positive bacteremias, reducing contamination, and eliminating false-positive central line-associated bloodstream infections. Am J Infect Control 2015; 43:1222-37. [PMID: 26298636 DOI: 10.1016/j.ajic.2015.06.030] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Revised: 06/23/2015] [Accepted: 06/29/2015] [Indexed: 12/20/2022]
Abstract
BACKGROUND A literature search was conducted using keywords for articles published in English from January 1990 to March 2015. Using criteria related to blood culture collection and handling, the search yielded 101 articles. References used also included Microbiology Laboratory standards, guidelines, and textbook information. RESULTS The literature identified diverse and complex issues surrounding blood culture practices, including the impact of false-positive results, laboratory definition of contamination, effect on central line-associated bloodstream infection (CLABSI) reporting, indications for collecting blood cultures, drawing from venipuncture sites versus intravascular catheters, selection of antiseptics, use of needleless connectors, inoculation of blood culture bottles, and optimizing program management in emergency departments, education, and implementation of bundled practice initiatives. CONCLUSION Hospitals should optimize best practice in the collection, handling, and management of blood culture specimens, an often overlooked but essential component in providing optimal care of patients in all settings and populations, reducing financial burdens, and increasing the accuracy of reportable CLABSI. Although universal concepts exist in blood culture practices, some issues require further research to determine benefit. Institutions undertaking a review of their blood culture programs are encouraged to use a checklist that addresses elements that encompass the research contained in this review.
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Validation of an automated surveillance approach for drain-related meningitis: a multicenter study. Infect Control Hosp Epidemiol 2015; 36:65-75. [PMID: 25627763 DOI: 10.1017/ice.2014.5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVE Manual surveillance of healthcare-associated infections is cumbersome and vulnerable to subjective interpretation. Automated systems are under development to improve efficiency and reliability of surveillance, for example by selecting high-risk patients requiring manual chart review. In this study, we aimed to validate a previously developed multivariable prediction modeling approach for detecting drain-related meningitis (DRM) in neurosurgical patients and to assess its merits compared to conventional methods of automated surveillance. METHODS Prospective cohort study in 3 hospitals assessing the accuracy and efficiency of 2 automated surveillance methods for detecting DRM, the multivariable prediction model and a classification algorithm, using manual chart review as the reference standard. All 3 methods of surveillance were performed independently. Patients receiving cerebrospinal fluid drains were included (2012-2013), except children, and patients deceased within 24 hours or with pre-existing meningitis. Data required by automated surveillance methods were extracted from routine care clinical data warehouses. RESULTS In total, DRM occurred in 37 of 366 external cerebrospinal fluid drainage episodes (12.3/1000 drain days at risk). The multivariable prediction model had good discriminatory power (area under the ROC curve 0.91-1.00 by hospital), had adequate overall calibration, and could identify high-risk patients requiring manual confirmation with 97.3% sensitivity and 52.2% positive predictive value, decreasing the workload for manual surveillance by 81%. The multivariable approach was more efficient than classification algorithms in 2 of 3 hospitals. CONCLUSIONS Automated surveillance of DRM using a multivariable prediction model in multiple hospitals considerably reduced the burden for manual chart review at near-perfect sensitivity.
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Infection control: Public reporting, disincentives, and bad behavior. Am J Infect Control 2015; 43:989-91. [PMID: 26116332 DOI: 10.1016/j.ajic.2015.02.033] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Revised: 02/20/2015] [Accepted: 02/23/2015] [Indexed: 11/22/2022]
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Data elements and validation methods used for electronic surveillance of health care-associated infections: a systematic review. Am J Infect Control 2015; 43:600-5. [PMID: 26042848 DOI: 10.1016/j.ajic.2015.02.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 02/04/2015] [Indexed: 11/22/2022]
Abstract
BACKGROUND We describe the primary data sources, data elements, and validation methods currently used in electronic surveillance systems (ESS) for identification and surveillance of health care-associated infections (HAIs), and compares these data elements and validation methods with recommended standards. METHODS Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a PubMed and manual search was conducted to identify research articles describing ESS for identification and surveillance of HAIs published January 1, 2009-August 31, 2014. Selected articles were evaluated to determine what data elements and validation methods were included. RESULTS Among the 509 articles identified in the original literature search, 30 met the inclusion criteria. Whereas the majority of studies (83%) used recommended data sources and validated the numerator (80%), only 10% of studies performed external and internal validation. In addition, there was variation in the ESS data formats used. CONCLUSIONS Our findings suggest that the majority of ESS for HAI surveillance use standard definitions, but the lack of widespread internal data, denominator, and external validation in these systems reduces the reliability of their findings. Additionally, advanced programming skills are required to create, implement, and maintain these systems and to reduce the variability in data formats.
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Hebden JN. Slow adoption of automated infection prevention surveillance: are human factors contributing? Am J Infect Control 2015; 43:559-62. [PMID: 25798777 DOI: 10.1016/j.ajic.2015.02.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 02/05/2015] [Accepted: 02/05/2015] [Indexed: 10/23/2022]
Abstract
Although automated surveillance technology has been evolving for decades, adoption of these technologies is in a nascent state. The current trajectory of public reporting, continued emergence of multidrug-resistant organisms, and mandated antimicrobial stewardship initiatives will result in an increased surveillance workload for ICPs. The use of traditional surveillance methods will be inefficient in meeting the demands for more data and are potentially flawed by subjective interpretation. An examination is offered of the slow adoption of automated surveillance technology from a system perspective with the inherent ambiguities that may operate within the ICP work structure. Formal qualitative research is needed to assess the human factors associated with lack of acceptance of automated surveillance systems. Identification of these factors will allow the National Healthcare Safety Network and professional organizations to offer educational programs and mentoring to the ICP community that target knowledge deficits and the embedded culture that embraces the status quo. With the current focus on fully electronic surveillance systems that perform surveillance in its entirety without case review, effective use of the data will be dependent on ICP skills and their understanding of the strengths and limitations of output from algorithmic detection models.
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Hsu HE, Shenoy ES, Kelbaugh D, Ware W, Lee H, Zakroysky P, Hooper DC, Walensky RP. An electronic surveillance tool for catheter-associated urinary tract infection in intensive care units. Am J Infect Control 2015; 43:592-9. [PMID: 25840717 DOI: 10.1016/j.ajic.2015.02.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Revised: 02/12/2015] [Accepted: 02/17/2015] [Indexed: 11/28/2022]
Abstract
BACKGROUND Traditional methods of surveillance of catheter-associated urinary tract infections (CAUTIs) are error-prone and resource-intensive. To resolve these issues, we developed a highly sensitive electronic surveillance tool. OBJECTIVE To develop an electronic surveillance tool for CAUTIs and assess its performance. METHODS The study was conducted at a 947-bed tertiary care center. Patients included adults aged ≥18 years admitted to an intensive care unit between January 10 and June 30, 2012, with an indwelling urinary catheter during their admission. We identified CAUTIs using 4 methods: traditional surveillance (TS) (ie, manual chart review by ICPs), an electronic surveillance (ES) tool, augmented electronic surveillance (AES) (ie, ES with chart review on a subset of cases), and reference standard (RS) (ie, a subset of CAUTIs originally ascertained by TS or ES, confirmed by review). We assessed performance characteristics to RS for reviewed cases. RESULTS We identified 417 candidate CAUTIs in 308 patients; 175 (42.0%) of these candidate CAUTIs were selected for review, yielding 32 confirmed CAUTIs in 22 patients (RS). Compared with RS, the sensitivities of TS, ES, and AES were 43.8% (95% confidence interval [CI], 26.4%-62.3%), 100.0% (95% CI, 89.1%-100.0%), and 100.0% (95% CI, 89.1%-100.0%). Specificities were 82.5% (95% CI, 75.3%-88.4%), 2.8% (95% CI, 0.8%-7.0%), and 100.0% (95% CI, 97.5%-100.0%). CONCLUSIONS Electronic CAUTI surveillance offers a streamlined approach to improve reliability and resource burden of surveillance.
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Affiliation(s)
- Heather E Hsu
- Harvard Medical School, Boston, MA; Boston Combined Residency Program in Pediatrics, Boston Children's Hospital and Boston Medical Center, Boston, MA
| | - Erica S Shenoy
- Harvard Medical School, Boston, MA; Division of Infectious Disease, Department of Medicine, Massachusetts General Hospital, Boston, MA; Infection Control Unit, Massachusetts General Hospital, Boston, MA; Medical Practices Evaluation Center, Massachusetts General Hospital, Boston, MA.
| | - Douglas Kelbaugh
- Partners Information Systems, Massachusetts General Hospital and Massachusetts General Physicians Organization, Boston, MA
| | - Winston Ware
- Clinical Care Management Unit, Massachusetts General Hospital, Boston, MA
| | - Hang Lee
- Harvard Medical School, Boston, MA; Department of Biostatistics, Massachusetts General Hospital, Boston, MA
| | - Pearl Zakroysky
- Department of Biostatistics, Massachusetts General Hospital, Boston, MA
| | - David C Hooper
- Harvard Medical School, Boston, MA; Division of Infectious Disease, Department of Medicine, Massachusetts General Hospital, Boston, MA; Infection Control Unit, Massachusetts General Hospital, Boston, MA
| | - Rochelle P Walensky
- Harvard Medical School, Boston, MA; Division of Infectious Disease, Department of Medicine, Massachusetts General Hospital, Boston, MA; Medical Practices Evaluation Center, Massachusetts General Hospital, Boston, MA
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Hernández-Gómez C, Motoa G, Vallejo M, Blanco VM, Correa A, de la Cadena E, Villegas MV. Introduction of software tools for epidemiological surveillance in infection control in Colombia. Colomb Med (Cali) 2015; 46:60-5. [PMID: 26309340 PMCID: PMC4536816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Revised: 04/15/2015] [Accepted: 05/05/2015] [Indexed: 10/29/2022] Open
Abstract
INTRODUCTION Healthcare-Associated Infections (HAI) are a challenge for patient safety in the hospitals. Infection control committees (ICC) should follow CDC definitions when monitoring HAI. The handmade method of epidemiological surveillance (ES) may affect the sensitivity and specificity of the monitoring system, while electronic surveillance can improve the performance, quality and traceability of recorded information. OBJECTIVE To assess the implementation of a strategy for electronic surveillance of HAI, Bacterial Resistance and Antimicrobial Consumption by the ICC of 23 high-complexity clinics and hospitals in Colombia, during the period 2012-2013. METHODS An observational study evaluating the introduction of electronic tools in the ICC was performed; we evaluated the structure and operation of the ICC, the degree of incorporation of the software HAI Solutions and the adherence to record the required information. RESULTS Thirty-eight percent of hospitals (8/23) had active surveillance strategies with standard criteria of the CDC, and 87% of institutions adhered to the module of identification of cases using the HAI Solutions software. In contrast, compliance with the diligence of the risk factors for device-associated HAIs was 33%. CONCLUSIONS The introduction of ES could achieve greater adherence to a model of active surveillance, standardized and prospective, helping to improve the validity and quality of the recorded information.
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Affiliation(s)
- Cristhian Hernández-Gómez
- Unidad de Resistencia Bacteriana y Epidemiología Hospitalaria, Centro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia
| | - Gabriel Motoa
- Unidad de Resistencia Bacteriana y Epidemiología Hospitalaria, Centro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia
| | - Marta Vallejo
- Unidad de Resistencia Bacteriana y Epidemiología Hospitalaria, Centro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia ; Departamento de Investigaciones, Universidad Pontificia Bolivariana, Medellín, Colombia
| | - Víctor M Blanco
- Unidad de Resistencia Bacteriana y Epidemiología Hospitalaria, Centro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia
| | - Adriana Correa
- Unidad de Resistencia Bacteriana y Epidemiología Hospitalaria, Centro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia
| | - Elsa de la Cadena
- Unidad de Resistencia Bacteriana y Epidemiología Hospitalaria, Centro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia
| | - María Virginia Villegas
- Unidad de Resistencia Bacteriana y Epidemiología Hospitalaria, Centro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Cali, Colombia
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Marschall J, Mermel LA, Fakih M, Hadaway L, Kallen A, O'Grady NP, Pettis AM, Rupp ME, Sandora T, Maragakis LL, Yokoe DS. Strategies to prevent central line-associated bloodstream infections in acute care hospitals: 2014 update. Infect Control Hosp Epidemiol 2015; 35:753-71. [PMID: 25376071 DOI: 10.1086/676533] [Citation(s) in RCA: 293] [Impact Index Per Article: 32.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Rochefort CM, Buckeridge DL, Forster AJ. Accuracy of using automated methods for detecting adverse events from electronic health record data: a research protocol. Implement Sci 2015; 10:5. [PMID: 25567422 PMCID: PMC4296680 DOI: 10.1186/s13012-014-0197-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2014] [Accepted: 12/18/2014] [Indexed: 12/13/2022] Open
Abstract
Background Adverse events are associated with significant morbidity, mortality and cost in hospitalized patients. Measuring adverse events is necessary for quality improvement, but current detection methods are inaccurate, untimely and expensive. The advent of electronic health records and the development of automated methods for encoding and classifying electronic narrative data, such as natural language processing, offer an opportunity to identify potentially better methods. The objective of this study is to determine the accuracy of using automated methods for detecting three highly prevalent adverse events: a) hospital-acquired pneumonia, b) catheter-associated bloodstream infections, and c) in-hospital falls. Methods/design This validation study will be conducted at two large Canadian academic health centres: the McGill University Health Centre (MUHC) and The Ottawa Hospital (TOH). The study population consists of all medical, surgical and intensive care unit patients admitted to these centres between 2008 and 2014. An automated detection algorithm will be developed and validated for each of the three adverse events using electronic data extracted from multiple clinical databases. A random sample of MUHC patients will be used to develop the automated detection algorithms (cohort 1, development set). The accuracy of these algorithms will be assessed using chart review as the reference standard. Then, receiver operating characteristic curves will be used to identify optimal cut points for each of the data sources. Multivariate logistic regression and the areas under curve (AUC) will be used to identify the optimal combination of data sources that maximize the accuracy of adverse event detection. The most accurate algorithms will then be validated on a second random sample of MUHC patients (cohort 1, validation set), and accuracy will be measured using chart review as the reference standard. The most accurate algorithms validated at the MUHC will then be applied to TOH data (cohort 2), and their accuracy will be assessed using a reference standard assessment of the medical chart. Discussion There is a need for more accurate, timely and efficient measures of adverse events in acute care hospitals. This is a critical requirement for evaluating the effectiveness of preventive interventions and for tracking progress in patient safety through time.
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Affiliation(s)
- Christian M Rochefort
- Ingram School of Nursing, Faculty of Medicine, McGill University, Wilson Hall, 3506 University Street, Montreal, QC, H3A 2A7, Canada. .,McGill Clinical and Health Informatics Research Group, McGill University, 1140, Pine Avenue West, Montreal, QC, H3A 1A3, Canada. .,Department of Epidemiology, Biostatics and Occupational Health, Faculty of Medicine, McGill University, Purvis Hall, 1020 Pine Avenue West, Montreal, QC, H3A 1A2, Canada.
| | - David L Buckeridge
- McGill Clinical and Health Informatics Research Group, McGill University, 1140, Pine Avenue West, Montreal, QC, H3A 1A3, Canada. .,Department of Epidemiology, Biostatics and Occupational Health, Faculty of Medicine, McGill University, Purvis Hall, 1020 Pine Avenue West, Montreal, QC, H3A 1A2, Canada.
| | - Alan J Forster
- Ottawa Hospital Research Institute, Ottawa, ON, Canada. .,The Ottawa Hospital, 725 Parkdale Ave, Ottawa, ON, K1Y 4E9, Canada.
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Mansur A, Klee Y, Popov AF, Erlenwein J, Ghadimi M, Beissbarth T, Bauer M, Hinz J. Primary bacteraemia is associated with a higher mortality risk compared with pulmonary and intra-abdominal infections in patients with sepsis: a prospective observational cohort study. BMJ Open 2015; 5:e006616. [PMID: 25564146 PMCID: PMC4289738 DOI: 10.1136/bmjopen-2014-006616] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE To investigate whether common infection foci (pulmonary, intra-abdominal and primary bacteraemia) are associated with variations in mortality risk in patients with sepsis. DESIGN Prospective, observational cohort study. SETTING Three surgical intensive care units (ICUs) at a university medical centre. PARTICIPANTS A total of 327 adult Caucasian patients with sepsis originating from pulmonary, intra-abdominal and primary bacteraemia participated in this study. PRIMARY AND SECONDARY OUTCOME MEASURES The patients were followed for 90 days and mortality risk was recorded as the primary outcome variable. To monitor organ failure, sepsis-related organ failure assessment (Sequential Organ Failure Assessment, SOFA) scores were evaluated at the onset of sepsis and throughout the observational period as secondary outcome variables. RESULTS A total of 327 critically ill patients with sepsis were enrolled in this study. Kaplan-Meier survival analysis showed that the 90-day mortality risk was significantly higher among patients with primary bacteraemia than among those with pulmonary and intra-abdominal foci (58%, 35% and 32%, respectively; p=0.0208). To exclude the effects of several baseline variables, we performed multivariate Cox regression analysis. Primary bacteraemia remained a significant covariate for mortality in the multivariate analysis (HR 2.10; 95% CI 1.14 to 3.86; p=0.0166). During their stay in the ICU, the patients with primary bacteraemia presented significantly higher SOFA scores than those of the patients with pulmonary and intra-abdominal infection foci (8.5±4.7, 7.3±3.4 and 5.8±3.5, respectively). Patients with primary bacteraemia presented higher SOFA-renal score compared with the patients with other infection foci (1.6±1.4, 0.8±1.1 and 0.7±1.0, respectively); the patients with primary bacteraemia required significantly more renal replacement therapy than the patients in the other groups (29%, 11% and 12%, respectively). CONCLUSIONS These results indicate that patients with sepsis with primary bacteraemia present a higher mortality risk compared with patients with sepsis of pulmonary or intra-abdominal origins. These results should be assessed in patients with sepsis in larger, independent cohorts.
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Affiliation(s)
- Ashham Mansur
- Department of Anesthesiology, University Medical Center, Georg August University, Goettingen, Niedersachsen, Germany
| | - Yvonne Klee
- Department of Anesthesiology, University Medical Center, Georg August University, Goettingen, Niedersachsen, Germany
| | - Aron Frederik Popov
- Department of Cardiothoracic Transplantation & Mechanical Support, Royal Brompton and Harefield Hospital, Harefield, London, UK
| | - Joachim Erlenwein
- Department of Anesthesiology, University Medical Center, Georg August University, Goettingen, Niedersachsen, Germany
| | - Michael Ghadimi
- Department of General and Visceral Surgery, University Medical Center, Georg August University, Goettingen, Niedersachsen, Germany
| | - Tim Beissbarth
- Department of Medical Statistics, University Medical Center, Georg August University, Goettingen, Niedersachsen, Germany
| | - Martin Bauer
- Department of Anesthesiology, University Medical Center, Georg August University, Goettingen, Niedersachsen, Germany
| | - José Hinz
- Department of Anesthesiology, University Medical Center, Georg August University, Goettingen, Niedersachsen, Germany
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O'Horo JC, Silva GLM, Munoz-Price LS, Safdar N. The Efficacy of Daily Bathing with Chlorhexidine for Reducing Healthcare-Associated Bloodstream Infections: A Meta-analysis. Infect Control Hosp Epidemiol 2015; 33:257-67. [DOI: 10.1086/664496] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Design.Systematic review and meta-analysis of randomized controlled trials and quasi-experimental studies to assess the efficacy of daily bathing with chlorhexidine (CHG) for prevention of healthcare-associated bloodstream infections (BSIs).Setting.Medical, surgical, trauma, and combined medical-surgical intensive care units (ICUs) and long-term acute care hospitals.Participants.Inpatients.Methods.Data on patient population, diagnostic criteria for BSIs, form and concentration of topical CHG, incidence of BSIs, and study design were extracted.Results.One randomized controlled trial and 11 nonrandomized controlled trials reporting a total of 137,392 patient-days met the inclusion criteria; 291 patients in the CHG arm developed a BSI over 67,775 patient-days, compared with 557 patients in the control arm over 69,617 catheter-days. CHG bathing resulted in a reduced incidence of BSIs: the pooled odds ratio using a random-effects model was 0.44 (95% confidence interval, 0.33–0.59; P< .00001). Statistical heterogeneity was moderate, with an I2 of 58%. For the subgroup of studies that examined central line–associated BSIs, the odds ratio was 0.40 (95% confidence interval, 0.27–0.59).Conclusions.Daily bathing with CHG reduced the incidence of BSIs, including central line-associated BSIs, among patients in the medical ICU. Further studies are recommended to determine the optimal frequency, method of application, and concentration of CHG as well as the comparative effectiveness of this strategy relative to other preventive measures available for reducing BSIs. Future studies should also examine the efficacy of daily CHG bathing in non-ICU populations at risk for BSI.Infect Control Hosp Epidemiol 2012;33(3):257-267
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Steinberg JP, Coffin SE. Improving the Central Line—Associated Bloodstream Infection Surveillance Definition: A Work in Progress. Infect Control Hosp Epidemiol 2015; 34:777-9. [DOI: 10.1086/671369] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Beekmann SE, Diekema DJ, Huskins WC, Herwaldt L, Boyce JM, Sherertz RJ, Polgreen PM. Diagnosing and Reporting of Central Line–Associated Bloodstream Infections. Infect Control Hosp Epidemiol 2015; 33:875-82. [DOI: 10.1086/667379] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background.The diagnosis of central line-associated bloodstream infections (CLABSIs) is often controversial, and existing guidelines differ in important ways.Objective.To determine both the range of practices involved in obtaining blood culture samples and how central line-associated infections are diagnosed and to obtain members' opinions regarding the process of designating bloodstream infections as publicly reportable CLABSIs.Design.Electronic and paper 11-question survey of infectious-diseases physician members of the Infectious Diseases Society of America Emerging Infections Network (IDSA EIN).Participants.All 1,364 IDSA EIN members were invited to participate.Results.692 (51%) members responded; 52% of respondents with adult practices reported that more than half of the blood culture samples for intensive care unit (ICU) patients with central lines were drawn through existing lines. A sizable majority of respondents used time to positivity, differential time to positivity when paired blood cultures are used, and quantitative culture of catheter tips when diagnosing CLABSI or determining the source of that bacteremia. When determining whether a bacteremia met the reportable CLABSI definition, a majority used a decision method that involved clinical judgment.Conclusions.Our survey documents a strong preference for drawing 1 set of blood culture samples from a peripheral line and 1 from the central line when evaluating fever in an ICU patient, as recommended by IDSA guidelines and in contrast to current Centers for Disease Control and Prevention recommendations. Our data show substantial variability when infectious-diseases physicians were asked to determine whether bloodstream infections were primary bacteremias, and therefore subject to public reporting by National Healthcare Safety Network guidelines, or secondary bacteremias, which are not reportable.
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