1
|
Robledo J, Maldonado N, Robledo C, Ceballos Naranjo L, Hernández Galeano V, Pino JJ. Changes in Antimicrobial Resistance and Etiology of Blood Culture Isolates: Results of a Decade (2010-2019) of Surveillance in a Northern Region of Colombia. Infect Drug Resist 2022; 15:6067-6079. [PMID: 36277243 PMCID: PMC9581729 DOI: 10.2147/idr.s375206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 09/09/2022] [Indexed: 11/05/2022] Open
Abstract
Background Bloodstream infections (BSI) are important causes of morbidity and mortality worldwide. Antimicrobial surveillance is essential for identifying emerging resistance and generating empirical treatment guides, the purpose of this study is to analyze trends in antimicrobial susceptibility of BSI from 2010 to 2019 in healthcare institutions from Medellin and nearby towns in Colombia. Methods A Whonet database was analyzed from the GERMEN antimicrobial surveillance network; frequency and antibiotic susceptibility trends were calculated on more frequent microorganisms using Mann Kendall and Sen’s Slope Estimator Test. Results 61,299 isolates were included; the three microorganisms more frequent showed a significant increasing trend through time E. coli (Sen’s Slope estimator = 0.7 p = <0.01) S. aureus (Sen’s Slope estimator = 0.60 p = <0.01) and K. pneumonia (Sen’s Slope estimator = 0.30 p = <0.01). E. coli showed a significant increase trend in cefepime and ceftazidime resistance, while K. pneumoniae showed a significant increase in resistance to cefepime, ciprofloxacin, and gentamicin. P. aeruginosa increases its susceptibility to all analyzed antibiotics and S. aureus to oxacillin. No increasing trend was observed for carbapenem resistance. Conclusion An upward trends was observed in more frequent microorganisms and resistance to third and fourth-generation cephalosporins for E. coli and K pneumoniae; in contrast, not increasing trends in antibiotic resistance was observed for P. aeruginosa and S. aureus. The essential role of AMR-surveillance programs is to point out and identify these trends, which should improve antibiotic resistance control.
Collapse
Affiliation(s)
- Jaime Robledo
- Laboratorio Médico de Referencia, Medellín, Colombia,Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia,Unidad de Bacteriología y Micobacterias, Corporación para Investigaciones Biológicas (CIB), Medellín, Colombia,Grupo GERMEN, Medellín, Colombia,Correspondence: Jaime Robledo, Unidad de Bacteriología y Micobacterias, Corporación para Investigaciones Biológicas, Carrera 72A No. 78B-141, Medellín, Colombia, Tel +57-4-6051808, Email
| | - Natalia Maldonado
- Grupo GERMEN, Medellín, Colombia,UGC Enfermedades Infecciosas y Microbiología, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Carlos Robledo
- Laboratorio Médico de Referencia, Medellín, Colombia,Grupo GERMEN, Medellín, Colombia
| | | | | | - Juan Jose Pino
- Escuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia
| | | |
Collapse
|
2
|
Preventing Central Line Blood Stream Infections in Critical Care Patients. Crit Care Nurs Clin North Am 2021; 33:419-429. [PMID: 34742498 DOI: 10.1016/j.cnc.2021.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Currently, the Centers for Disease Control reports close to 40,000 central line-associated bloodstream infections (CLABSI) occur in acute care facilities in the United States each year. Most are considered preventable. Evidence-based practices such as the CLABSI bundle and central line maintenance bundles have demonstrated their effectiveness in reducing CLABSI. This article reviews these best practices and provides a framework for consistent implementation.
Collapse
|
3
|
Vaughn VM, Gandhi T, Conlon A, Chopra V, Malani AN, Flanders SA. The Association of Antibiotic Stewardship With Fluoroquinolone Prescribing in Michigan Hospitals: A Multi-hospital Cohort Study. Clin Infect Dis 2020; 69:1269-1277. [PMID: 30759198 PMCID: PMC6763628 DOI: 10.1093/cid/ciy1102] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Accepted: 12/29/2018] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Fluoroquinolones increase the risk of Clostridioides difficile infection and antibiotic resistance. Hospitals often use pre-prescription approval or prospective audit and feedback to target fluoroquinolone prescribing. Whether these strategies impact aggregate fluoroquinolone use is unknown. METHODS This study is a 48-hospital, retrospective cohort of general-care, medical patients hospitalized with pneumonia or positive urine culture between December 2015-September 2017. Hospitals were surveyed on their use of pre-prescription approval and/or prospective audit and feedback to target fluoroquinolone prescribing during hospitalization (fluoroquinolone stewardship). After controlling for hospital clustering and patient factors, aggregate (inpatient and post-discharge) fluoroquinolone (ciprofloxacin, levofloxacin, moxifloxacin) exposure was compared between hospitals with and without fluoroquinolone stewardship. RESULTS There were 11 748 patients (6820 pneumonia; 4928 positive urine culture) included at 48 hospitals. All hospitals responded to the survey: 29.2% (14/48) reported using pre-prescription approval and/or prospective audit and feedback to target fluoroquinolone prescribing. After adjustment, fluoroquinolone stewardship was associated with fewer patients receiving a fluoroquinolone (37.1% vs 48.2%; P = .01) and fewer fluoroquinolone treatment days per 1000 patients (2282 vs 3096 days/1000 patients; P = .01), driven by lower inpatient prescribing. However, most (66.6%) fluoroquinolone treatment days occurred after discharge, and hospitals with fluoroquinolone stewardship had twice as many new fluoroquinolone starts after discharge as hospitals without (15.6% vs 8.4%; P = .003). CONCLUSIONS Hospital-based stewardship interventions targeting fluoroquinolone prescribing were associated with less fluoroquinolone prescribing during hospitalization, but not at discharge. To limit aggregate fluoroquinolone exposure, stewardship programs should target both inpatient and discharge prescribing.
Collapse
Affiliation(s)
- Valerie M Vaughn
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan.,Center for Clinical Management Research, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan
| | - Tejal Gandhi
- Division of Infectious Diseases, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - Anna Conlon
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan
| | - Vineet Chopra
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan.,Center for Clinical Management Research, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan
| | - Anurag N Malani
- Division of Infectious Diseases, Department of Internal Medicine, St. Joseph Mercy Health System, Ann Arbor, Michigan.,Department of Infection Prevention and Control, St. Joseph Mercy Health System, Ann Arbor, Michigan
| | - Scott A Flanders
- Division of Hospital Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, Michigan
| |
Collapse
|
4
|
Vaughn VM, Saint S, Krein SL, Forman JH, Meddings J, Ameling J, Winter S, Townsend W, Chopra V. Characteristics of healthcare organisations struggling to improve quality: results from a systematic review of qualitative studies. BMJ Qual Saf 2018; 28:74-84. [PMID: 30045864 PMCID: PMC6373545 DOI: 10.1136/bmjqs-2017-007573] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 06/11/2018] [Accepted: 06/24/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Identifying characteristics associated with struggling healthcare organisations may help inform improvement. Thus, we systematically reviewed the literature to: (1) Identify organisational factors associated with struggling healthcare organisations and (2) Summarise these factors into actionable domains. METHODS Systematic review of qualitative studies that evaluated organisational characteristics of healthcare organisations that were struggling as defined by below-average patient outcomes (eg, mortality) or quality of care metrics (eg, Patient Safety Indicators). Searches were conducted in MEDLINE (via Ovid), EMBASE, Cochrane Library, CINAHL, and Web of Science from database inception through February 8 2018. Qualitative data were analysed using framework-based synthesis and summarised into key domains. Study quality was evaluated using the Critical Appraisal Skills Program tool. RESULTS Thirty studies (33 articles) from multiple countries and settings (eg, acute care, outpatient) with a diverse range of interviewees (eg, nurses, leadership, staff) were included in the final analysis. Five domains characterised struggling healthcare organisations: poor organisational culture (limited ownership, not collaborative, hierarchical, with disconnected leadership), inadequate infrastructure (limited quality improvement, staffing, information technology or resources), lack of a cohesive mission (mission conflicts with other missions, is externally motivated, poorly defined or promotes mediocrity), system shocks (ie, events such as leadership turnover, new electronic health record system or organisational scandals that detract from daily operations), and dysfunctional external relations with other hospitals, stakeholders, or governing bodies. CONCLUSIONS Struggling healthcare organisations share characteristics that may affect their ability to provide optimal care. Understanding and identifying these characteristics may provide a first step to helping low performers address organisational challenges to improvement. SYSTEMATIC REVIEW REGISTRATION PROSPERO: CRD42017067367.
Collapse
Affiliation(s)
- Valerie M Vaughn
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Patient Safety Enhancement Program, Ann Arbor Veterans Affairs Medical Center/University of Michigan, Ann Arbor, Michigan, USA
| | - Sanjay Saint
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Patient Safety Enhancement Program, Ann Arbor Veterans Affairs Medical Center/University of Michigan, Ann Arbor, Michigan, USA
| | - Sarah L Krein
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Patient Safety Enhancement Program, Ann Arbor Veterans Affairs Medical Center/University of Michigan, Ann Arbor, Michigan, USA
| | - Jane H Forman
- Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Patient Safety Enhancement Program, Ann Arbor Veterans Affairs Medical Center/University of Michigan, Ann Arbor, Michigan, USA
| | - Jennifer Meddings
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Patient Safety Enhancement Program, Ann Arbor Veterans Affairs Medical Center/University of Michigan, Ann Arbor, Michigan, USA.,Departmentof Pediatrics and Communicable Diseases, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Jessica Ameling
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Patient Safety Enhancement Program, Ann Arbor Veterans Affairs Medical Center/University of Michigan, Ann Arbor, Michigan, USA
| | - Suzanne Winter
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Patient Safety Enhancement Program, Ann Arbor Veterans Affairs Medical Center/University of Michigan, Ann Arbor, Michigan, USA
| | - Whitney Townsend
- Taubman Health Sciences Library, University of Michigan, Ann Arbor, Michigan, USA
| | - Vineet Chopra
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.,Patient Safety Enhancement Program, Ann Arbor Veterans Affairs Medical Center/University of Michigan, Ann Arbor, Michigan, USA
| |
Collapse
|
5
|
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
|
6
|
McAlearney AS, Hefner JL, Sieck CJ, Walker DM, Aldrich AM, Sova LN, Gaughan AA, Slevin CM, Hebert C, Hade E, Buck J, Grove M, Huerta TR. Searching for management approaches to reduce HAI transmission (SMART): a study protocol. Implement Sci 2017; 12:82. [PMID: 28659159 PMCID: PMC5490089 DOI: 10.1186/s13012-017-0610-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 06/14/2017] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Healthcare-associated infections (HAIs) impact patients' lives through prolonged hospitalization, morbidity, and death, resulting in significant costs to both health systems and society. Central line-associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs) are two of the most preventable HAIs. As a result, these HAIs have been the focus of significant efforts to identify evidence-based clinical strategies to reduce infection rates. The Comprehensive Unit-based Safety Program (CUSP) provides a formal model for translating CLABSI-reduction evidence into practice. Yet, a national demonstration project found organizations experienced variable levels of success using CUSP to reduce CLABSIs. In addition, in Fiscal year 2019, Medicare will expand use of CLABSI and CAUTI metrics beyond ICUs to the entire hospital for reimbursement purposes. As a result, hospitals need guidance about how to successfully translate HAI-reduction efforts such as CUSP to non-ICU settings (clinical practice), and how to shape context (management practice)-including culture and management strategies-to proactively support clinical teams. METHODS Using a mixed-methods approach to evaluate the contribution of management factors to successful HAI-reduction efforts, our study aims to: (1) Develop valid and reliable measures of structural management practices associated with the recommended CLABSI Management Strategies for use as a survey (HAI Management Practice Guideline Survey) to support HAI-reduction efforts in both medical/surgical units and ICUs; (2) Develop, validate, and then deploy the HAI Management Practice Guideline Survey, first across Ohio hospitals, then nationwide, to determine the positive predictive value of the measurement instrument as it relates to CLABSI- and CAUTI-prevention; and (3) Integrate findings into a Management Practices Toolkit for HAI reduction that includes an organization-specific data dashboard for monitoring progress and an implementation program for toolkit use, and disseminate that Toolkit nationwide. DISCUSSION Providing hospitals with the tools they need to successfully measure management structures that support clinical care provides a powerful approach that can be leveraged to reduce the incidence of HAIs experienced by patients. This study is critical to providing the information necessary to successfully "make health care safer" by providing guidance on how contextual factors within a healthcare setting can improve patient safety across hospitals.
Collapse
Affiliation(s)
- Ann Scheck McAlearney
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH 43201 USA
| | - Jennifer L. Hefner
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
| | - Cynthia J. Sieck
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
| | - Daniel M. Walker
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
| | - Alison M. Aldrich
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
| | - Lindsey N. Sova
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
| | - Alice A. Gaughan
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
| | - Caitlin M. Slevin
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
| | - Courtney Hebert
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH 43201 USA
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, 310-E Lincoln Tower, 1800 Cannon Drive, Columbus, OH 43201 USA
- Division of Infectious Disease, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH USA
| | - Erinn Hade
- Center for Biostatistics, College of Medicine, The Ohio State University, 320G Lincoln Tower, 1800 Cannon Drive, Columbus, OH 43201 USA
| | - Jacalyn Buck
- The Ohio State University Wexner Medical Center, 134 Doan Hall, 410 W. 10th Ave, Columbus, OH 43210 USA
- Administrator of Health System Nursing Quality, Research, Education and Evidence- Based Practice, The Ohio State University Wexner Medical Center, Office 2021, 600 Ackerman Road, Columbus, OH 43202 USA
| | - Michele Grove
- The Ohio State University Wexner Medical Center, 134 Doan Hall, 410 W. 10th Ave, Columbus, OH 43210 USA
| | - Timothy R. Huerta
- Department of Family Medicine, College of Medicine, The Ohio State University, 2231 North High Street, Suite 273, Columbus, OH 43201 USA
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, 310-E Lincoln Tower, 1800 Cannon Drive, Columbus, OH 43201 USA
- Division of Infectious Disease, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH USA
| |
Collapse
|