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AL-Mugheed K, Bayraktar N, Al-Bsheish M, AlSyouf A, Aldhmadi BK, Jarrar M, Alkhazali M. Effectiveness of game-based virtual reality phone application and online education on knowledge, attitude and compliance of standard precautions among nursing students. PLoS One 2022; 17:e0275130. [PMID: 36327261 PMCID: PMC9632768 DOI: 10.1371/journal.pone.0275130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 09/10/2022] [Indexed: 11/06/2022] Open
Abstract
Game-based virtual reality phone applications can create a realistic environment to prepare for clinical applications and improve students’ knowledge of and compliance with standard precautions. An experimental study was performed among 126 nursing students’ from the third and fourth nursing levels to determine the effect of online education and game-based virtual reality phone applications related to standard precautions. Students were divided randomly into two groups; the experimental group used online education and game-based virtual reality phone applications, while the control group used traditional education. The study was performed between July and August 2019 to prevent clashes with lectures and midterm and final examinations. A tool package including knowledge, attitude, and compliance with standard precautions was used in pre-and post-tests among nursing students. The results showed that the knowledge of, attitudes towards, and compliance with standard precautions differed between the two groups. The performance of the experimental group of nursing students significantly improved with online instruction and game-based virtual reality phone applications. This study demonstrated the effectiveness of online education and game-based virtual reality phone application among nursing students.
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Affiliation(s)
- Khaild AL-Mugheed
- Surgical Nursing Department, Faculty of Nursing, Near East University, Nicosia, Cyprus
- * E-mail:
| | - Nurhan Bayraktar
- Nursing Department Kizilcasar Mahallesi, Atılım University School of Health Sciences, Golbasi, Ankara, Turkey
| | - Mohammad Al-Bsheish
- Healthcare Management Department, Batterjee Medical College, Jeddah, Saudi Arabia
| | - Adi AlSyouf
- Department of Managing Health Services and Hospitals, Faculty of Business Rabigh, College of Business (COB), King Abdulaziz University, Jeddah, Saudi Arabia
| | - Badr K. Aldhmadi
- Department of Health Management, College of Public Health and Health Informatics, University of Ha’il, Ha’il, Saudi Arabia
| | - Mu’taman Jarrar
- Vice Deanship for Quality and Development, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
- Medical Education Department, King Fahd Hospital of the University, Al-Khobar, Saudi Arabia
| | - Moath Alkhazali
- Surgical Nursing Department, Faculty of Nursing, Nicosia, European University of Lefke, Lefke, Cyprus
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Kaier K, Wolkewitz M, Hehn P, Mutters NT, Heister T. The impact of hospital-acquired infections on the patient-level reimbursement-cost relationship in a DRG-based hospital payment system. INTERNATIONAL JOURNAL OF HEALTH ECONOMICS AND MANAGEMENT 2020; 20:1-11. [PMID: 31165960 DOI: 10.1007/s10754-019-09267-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 05/28/2019] [Indexed: 06/09/2023]
Abstract
Hospital-acquired infections (HAIs) are a common complication in inpatient care. We investigate the incentives to prevent HAIs under the German DRG-based reimbursement system. We analyze the relationship between resource use and reimbursements for HAI in 188,731 patient records from the University Medical Center Freiburg (2011-2014), comparing cases to appropriate non-HAI controls. Resource use is approximated using national standardized costing system data. Reimbursements are the actual payments to hospitals under the G-DRG system. Timing of HAI exposure, cost-clustering within main diagnoses and risk-adjustment are considered. The reimbursement-cost difference of HAI patients is negative (approximately - €4000). While controls on average also have a negative reimbursement-cost difference (approximately - €2000), HAI significantly increase this difference after controlling for confounding and timing of infection (- 1500, p < 0.01). HAIs caused by vancomycin-resistant Enterococci have the most unfavorable reimbursement-cost difference (- €10,800), significantly higher (- €9100, p < 0.05) than controls. Among infection types, pneumonia is associated with highest losses (- €8400 and - €5700 compared with controls, p < 0.05), while cost-reimbursement relationship for Clostridium difficile-associated diarrhea is comparatively balanced (- €3200 and - €500 compared to controls, p = 0.198). From the hospital administration's perspective, it is not the additional costs of HAIs, but rather the cost-reimbursement relationship which guides decisions. Costs exceeding reimbursements for HAI may increase infection prevention and control efforts and can be used to show their cost-effectiveness from the hospital perspective.
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Affiliation(s)
- Klaus Kaier
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier-Str. 26, 79104, Freiburg, Germany.
| | - Martin Wolkewitz
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier-Str. 26, 79104, Freiburg, Germany
| | - Philip Hehn
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier-Str. 26, 79104, Freiburg, Germany
| | - Nico T Mutters
- Institute for Infection Prevention and Hospital Epidemiology, Faculty of Medicine, Medical Center - University of Freiburg, Breisacher Straße 115 b, 79106, Freiburg, Germany
| | - Thomas Heister
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Stefan-Meier-Str. 26, 79104, Freiburg, Germany
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Impact of mechanical ventilation on the daily costs of ICU care: a systematic review and meta regression. Epidemiol Infect 2019; 147:e314. [PMID: 31802726 PMCID: PMC7003623 DOI: 10.1017/s0950268819001900] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The impact of mechanical ventilation on the daily costs of intensive care unit (ICU) care is largely unknown. We thus conducted a systematic search for studies measuring the daily costs of ICU stays for general populations of adults (age ≥18 years) and the added costs of mechanical ventilation. The relative increase in the daily costs was estimated using random effects meta regression. The results of the analyses were applied to a recent study calculating the excess length-of-stay associated with ICU-acquired (ventilator-associated) pneumonia, a major complication of mechanical ventilation. The search identified five eligible studies including a total of 54 766 patients and ~238 037 patient days in the ICU. Overall, mechanical ventilation was associated with a 25.8% (95% CI 4.7%–51.2%) increase in the daily costs of ICU care. A combination of these estimates with standardised unit costs results in approximate daily costs of a single ventilated ICU day of €1654 and €1580 in France and Germany, respectively. Mechanical ventilation is a major driver of ICU costs and should be taken into account when measuring the financial burden of adverse events in ICU settings.
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Kaier K, Heister T, Götting T, Wolkewitz M, Mutters NT. Measuring the in-hospital costs of Pseudomonas aeruginosa pneumonia: methodology and results from a German teaching hospital. BMC Infect Dis 2019; 19:1028. [PMID: 31795953 PMCID: PMC6888947 DOI: 10.1186/s12879-019-4660-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 11/25/2019] [Indexed: 11/16/2022] Open
Abstract
Background Pseudomonas aeruginosa-related pneumonia is an ongoing healthcare challenge. Estimating its financial burden is complicated by the time-dependent nature of the disease. Methods Two hundred thirty-six cases of Pseudomonas aeruginosa-related pneumonia were recorded at a 2000 bed German teaching hospital between 2011 and 2014. Thirty-five cases (15%) were multidrug-resistant (MDR) Pseudomonas aeruginosa. Hospital- and community-acquired cases were distinguished by main diagnoses and exposure time. The impact of Pseudomonas aeruginosa-related pneumonia on the three endpoints cost, reimbursement, and length of stay was analyzed, taking into account (1) the time-dependent nature of exposure, (2) clustering of costs within diagnostic groups, and (3) additional confounders. Results Pseudomonas aeruginosa pneumonia is associated with substantial additional costs that are not fully reimbursed. Costs are highest for hospital-acquired cases (€19,000 increase over uninfected controls). However, community-acquired cases are also associated with a substantial burden (€8400 when Pseudomonas aeruginosa pneumonia is the main reason for hospitalization, and €6700 when not). Sensitivity analyses for hospital-acquired cases showed that ignoring or incorrectly adjusting for time-dependency substantially biases results. Furthermore, multidrug-resistance was rare and only showed a measurable impact on the cost of community-acquired cases. Conclusions Pseudomonas aeruginosa pneumonia creates a substantial financial burden for hospitals. This is particularly the case for nosocomial infections. Infection control interventions could yield significant cost reductions. However, to evaluate the potential effectiveness of different interventions, the time-dependent aspects of incremental costs must be considered to avoid introduction of bias.
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Affiliation(s)
- Klaus Kaier
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
| | - Thomas Heister
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Tim Götting
- Institute for Infection Prevention and Hospital Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Martin Wolkewitz
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Nico T Mutters
- Institute for Infection Prevention and Hospital Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
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Heister T, Wolkewitz M, Hehn P, Wolff J, Dettenkofer M, Grundmann H, Kaier K. Costs of hospital-acquired Clostridium difficile infections: an analysis on the effect of time-dependent exposures using routine and surveillance data. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2019; 17:16. [PMID: 31388335 PMCID: PMC6670202 DOI: 10.1186/s12962-019-0184-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 07/25/2019] [Indexed: 12/18/2022] Open
Abstract
Background Hospital-acquired infections have not only gained increasing attention clinically, but also methodologically, as a time-varying exposure. While methods to appropriately estimate extra length of stay (LOS) have been established and are increasingly used in the literature, proper estimation of cost figures has lagged behind. Methods Analysing the additional costs and reimbursements of Clostridium difficile-infections (CDI), we use a within-main-diagnosis-time-to-exposure stratification approach to incorporate time-varying exposures in a regression model, while at the same time accounting for cost clustering within diagnosis groups. Results We find that CDI is associated with €9000 of extra costs, €7800 of higher reimbursements, and 6.4 days extra length of stay. Using a conventional method, which suffers from time-dependent bias, we derive estimates more than three times as high (€23,000, €8000, 21 days respectively). We discuss our method in the context of recent methodological advances in the estimation of the costs of hospital-acquired infections. Conclusions CDI is associated with sizeable in-hospital costs. Neglecting the methodological particularities of hospital-acquired infections can however substantially bias results. As the data needed for an appropriate analysis are collected routinely in most hospitals, we recommend our approach as a feasible way for estimating the economic impact of time-varying adverse events during hospital stay.
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Affiliation(s)
- Thomas Heister
- 1Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, 79104 Freiburg, Germany
| | - Martin Wolkewitz
- 1Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, 79104 Freiburg, Germany
| | - Philip Hehn
- 1Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, 79104 Freiburg, Germany
| | - Jan Wolff
- 2Department of Psychiatry and Psychotherapy, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Markus Dettenkofer
- Institute for Hospital Hygiene and Infection Prevention, Gesundheitsverbund Landkreis Konstanz, Radolfzell, Germany
| | - Hajo Grundmann
- 4Division of Infection Control and Hospital Epidemiology, University Medical Center Freiburg, Freiburg, Germany
| | - Klaus Kaier
- 1Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Stefan-Meier-Str. 26, 79104 Freiburg, Germany
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Craft KM, Nguyen JM, Berg LJ, Townsend SD. Methicillin-resistant Staphylococcus aureus (MRSA): antibiotic-resistance and the biofilm phenotype. MEDCHEMCOMM 2019; 10:1231-1241. [PMID: 31534648 PMCID: PMC6748282 DOI: 10.1039/c9md00044e] [Citation(s) in RCA: 177] [Impact Index Per Article: 35.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Accepted: 03/12/2019] [Indexed: 12/18/2022]
Abstract
Staphylococcus aureus (S. aureus) is an asymptomatic colonizer of 30% of all human beings. While generally benign, antibiotic resistance contributes to the success of S. aureus as a human pathogen. Resistance is rapidly evolved through a wide portfolio of mechanisms including horizontal gene transfer and chromosomal mutation. In addition to traditional resistance mechanisms, a special feature of S. aureus pathogenesis is its ability to survive on both biotic and abiotic surfaces in the biofilm state. Due to this characteristic, S. aureus is a leading cause of human infection. Methicillin-resistant S. aureus (MRSA) in particular has emerged as a widespread cause of both community- and hospital-acquired infections. Currently, MRSA is responsible for 10-fold more infections than all multi-drug resistant (MDR) Gram-negative pathogens combined. Recently, MRSA was classified by the World Health Organization (WHO) as one of twelve priority pathogens that threaten human health. In this targeted mini-review, we discuss MRSA biofilm production, the relationship of biofilm production to antibiotic resistance, and front-line techniques to defeat the biofilm-resistance system.
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Affiliation(s)
- Kelly M Craft
- Department of Chemistry , Vanderbilt University , 7300 Stevenson Science Center , Nashville , TN 37235 , USA .
| | - Johny M Nguyen
- Department of Chemistry , Vanderbilt University , 7300 Stevenson Science Center , Nashville , TN 37235 , USA .
| | - Lawrence J Berg
- Department of Chemistry , Vanderbilt University , 7300 Stevenson Science Center , Nashville , TN 37235 , USA .
| | - Steven D Townsend
- Department of Chemistry , Vanderbilt University , 7300 Stevenson Science Center , Nashville , TN 37235 , USA .
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Nasiri A, Balouchi A, Rezaie-Keikhaie K, Bouya S, Sheyback M, Rawajfah OA. Knowledge, attitude, practice, and clinical recommendation toward infection control and prevention standards among nurses: A systematic review. Am J Infect Control 2019; 47:827-833. [PMID: 30612817 DOI: 10.1016/j.ajic.2018.11.022] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 11/28/2018] [Accepted: 11/28/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND The purpose of this study was to systematically review the literature to describe nurses' knowledge and practice of and attitude toward infection control and prevention standards. METHODS In the present systematic review, 4 electronic databases were searched from the inception of databases through March 2018. Quality of included studies was assessed using the Hoy tool. RESULTS Eighteen studies conducted on 4,577 employed nurses and nursing students entered the final stage. Results indicated that nurses in most studies had adequate knowledge (n = 10, 40%-90%) and positive attitude (n = 4, 37%-100%). However, most studies reflected average and poor nursing practices with regard to adherence to infection control and prevention standards. The most frequent recommendations proposed for improving nurses' knowledge, attitude, and practice included periodic training via scientific conferences and relevant practical courses (n = 12), combining up-to-date theoretical and practical programs (n = 6), and training at the beginning of hospital employment (n = 4). CONCLUSIONS The results of the present study indicate that although nurses in most studies had adequate knowledge of and positive attitude toward health care-associated infections, because of average and poor practices, they need systematic and integrated implementation of the presented recommendations.
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Affiliation(s)
- Aliakbar Nasiri
- Department of Anesthesiology, Emam Khomeini Hospital, Urmia University of Medical Sciences, Urmia, Iran
| | - Abbas Balouchi
- Nursing Department, Zabol University of Medical Sciences, Zabol, Iran; Student Research Committee, Nursing and Midwifery School, Iran University of Medical Sciences, Tehran, Iran
| | | | - Salehoddin Bouya
- Clinical Immunology Research Center, Ali-Ebne Abitaleb Hospital, Zahedan University of Medical Sciences, Zahedan, Iran.
| | - Mahmood Sheyback
- Student Research Committee, School of Nursing, Bushehr University of Medical Sciences, Bushehr, Iran
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Song M, Tang M, Ding Y, Wu Z, Xiang C, Yang K, Zhang Z, Li B, Deng Z, Liu J. Application of protein typing in molecular epidemiological investigation of nosocomial infection outbreak of aminoglycoside-resistant Pseudomonas aeruginosa. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:22437-22445. [PMID: 29249031 DOI: 10.1007/s11356-017-0960-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Accepted: 12/06/2017] [Indexed: 06/07/2023]
Abstract
Pseudomonas aeruginosan has emerged as an important pathogen elated to serious infections and nosocomial outbreaks worldwide. This study was conducted to understand the prevalence of aminoglycoside (AMG)-resistant P. aeruginosa in our hospital and to provide a scientific basis for control measures against nosocomial infections. Eighty-two strains of P. aeruginosa were isolated from clinical departments and divided into AMG-resistant strains and AMG-sensitive strains based on susceptibility test results. AMG-resistant strains were typed by drug resistance gene typing (DRGT) and protein typing. Five kinds of aminoglycoside-modifying enzyme (AME) genes were detected in the AMG-resistant group. AMG-resistant P. aeruginosa strains were classified into three types and six subtypes by DRGT. Four protein peaks, namely, 9900.02, 7600.04, 9101.25 and 10,372.87 Da, were significantly and differentially expressed between the two groups. AMG-resistant P. aeruginosa strains were also categorised into three types and six subtypes at the distance level of 10 by protein typing. AMG-resistant P. aeruginosa was cloned spread in our hospital; the timely implementation of nosocomial infection prevention and control strategies were needed in preventing outbreaks and epidemic of AMG-resistant P. aeruginosa. SELDI-TOF MS technology can be used for bacterial typing, which provides a new method of clinical epidemiological survey and nosocomial infection control.
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Affiliation(s)
- Min Song
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Min Tang
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yinghuan Ding
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zecai Wu
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Chengyu Xiang
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Kui Yang
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zhang Zhang
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Baolin Li
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Zhenghua Deng
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jinbo Liu
- Department of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, China.
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Kaier K, Wolkewitz M, Heister T. Estimating the attributable costs of hospital-acquired infections requires a distinct categorization of cases based on time of infection. Am J Infect Control 2018; 46:729. [PMID: 29655667 DOI: 10.1016/j.ajic.2018.02.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 02/06/2018] [Indexed: 11/18/2022]
Affiliation(s)
- Klaus Kaier
- Division Methods in Clinical Epidemiology, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Baden-Württemberg, Germany.
| | - Martin Wolkewitz
- Division Methods in Clinical Epidemiology, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Baden-Württemberg, Germany
| | - Thomas Heister
- Division Methods in Clinical Epidemiology, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Baden-Württemberg, Germany
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Determining the Attributable Costs of Clostridium difficile Infections When Exposure Time Is Lacking: Be Wary of "Conditioning on the Future". Infect Control Hosp Epidemiol 2018; 39:759-760. [PMID: 29587890 DOI: 10.1017/ice.2018.42] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Heister T, Wolkewitz M, Kaier K. Estimating the additional costs of surgical site infections: length bias, time-dependent bias, and conditioning on the future. J Hosp Infect 2018; 99:103-104. [PMID: 29458064 DOI: 10.1016/j.jhin.2018.02.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 02/12/2018] [Indexed: 11/16/2022]
Affiliation(s)
- T Heister
- Division Methods in Clinical Epidemiology, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - M Wolkewitz
- Division Methods in Clinical Epidemiology, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - K Kaier
- Division Methods in Clinical Epidemiology, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
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Melaine F, Saad M, Faucher S, Tabrizian M. Selective and High Dynamic Range Assay Format for Multiplex Detection of Pathogenic Pseudomonas aeruginosa, Salmonella typhimurium, and Legionella pneumophila RNAs Using Surface Plasmon Resonance Imaging. Anal Chem 2017; 89:7802-7807. [DOI: 10.1021/acs.analchem.7b01942] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- F. Melaine
- Department
of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Quebec, Canada H3A 2B4
| | - M. Saad
- Department
of Natural Resource Sciences, Faculty of Agricultural and Environmental
Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada H9X 3V9
| | - S. Faucher
- Department
of Natural Resource Sciences, Faculty of Agricultural and Environmental
Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada H9X 3V9
| | - M. Tabrizian
- Department
of Biomedical Engineering, Faculty of Medicine, McGill University, Montreal, Quebec, Canada H3A 2B4
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