scholarly journals Healthcare Associated Infections: An Interoperable Infrastructure for Multidrug Resistant Organism Surveillance

2020 ◽  
Vol 17 (2) ◽  
pp. 465 ◽  
Author(s):  
Roberta Gazzarata ◽  
Maria Eugenia Monteverde ◽  
Carmelina Ruggiero ◽  
Norbert Maggi ◽  
Dalia Palmieri ◽  
...  
Keyword(s):  
Service Oriented Architecture ◽  
Health Care Systems ◽  
Multidrug Resistant ◽  
Resistant Organism ◽  
Local Health Authority ◽  
Local Health ◽  
Healthcare Associated Infections ◽  
Clinical Document ◽  
Care Systems ◽  
Healthcare Associated

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).

scholarly journals Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) Framework for Describing and Reporting Multidrug-resistant Organism and Healthcare-Associated Infections Agent-based Modeling Methods

2020 ◽  
Author(s):  
Rachel B Slayton ◽  
Justin J O’Hagan ◽  
Sean Barnes ◽  
Sarah Rhea ◽  
Rainer Hilscher ◽  
...  
Keyword(s):  
Infectious Diseases ◽  
Multidrug Resistant ◽  
Pathogen Transmission ◽  
Model Verification ◽  
Resistant Organism ◽  
Healthcare Associated Infections ◽  
State Variables ◽  
Agent Based ◽  
Healthcare Network ◽  
Healthcare Associated

Abstract Mathematical modeling of healthcare-associated infections and multidrug-resistant organisms improves our understanding of pathogen transmission dynamics and provides a framework for evaluating prevention strategies. One way of improving the communication among modelers is by providing a standardized way of describing and reporting models, thereby instilling confidence in the reproducibility and generalizability of such models. We updated the Overview, Design concepts, and Details protocol developed by Grimm et al [11] for describing agent-based models (ABMs) to better align with elements commonly included in healthcare-related ABMs. The Modeling Infectious Diseases in Healthcare Network (MInD-Healthcare) framework includes the following 9 key elements: (1) Purpose and scope; (2) Entities, state variables, and scales; (3) Initialization; (4) Process overview and scheduling; (5) Input data; (6) Agent interactions and organism transmission; (7) Stochasticity; (8) Submodels; and (9) Model verification, calibration, and validation. Our objective is that this framework will improve the quality of evidence generated utilizing these models.

Healthcare associated pneumonia: An old concept at a hospital with high prevalence of antimicrobial resistance

MedPharmRes ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 17-21
Author(s):  
Lam Nguyen-Ho ◽  
Duong Hoang-Thai ◽  
Vu Le-Thuong ◽  
Ngoc Tran-Van
Keyword(s):  
Risk Factor ◽  
Antimicrobial Resistance ◽  
Multidrug Resistant ◽  
Community Acquired Pneumonia ◽  
Resistant Organism ◽  
Healthcare Associated Infection ◽  
Female Ratio ◽  
High Prevalence ◽  
Need To Evaluate ◽  
Healthcare Associated

Background: One of several reasons that the concept of healthcare-associated pneumonia (HCAP) was dismissed was the same presence of multidrug resistant organism (MDRO) between community-acquired pneumonia and HCAP at countries with the low prevalence of antimicrobial resistance (AMR). However, this finding could be unsuitable for countries with the high rates of AMR. Methods: A prospective observational study was conducted at the respiratory department of Cho Ray hospital from September 2015 to April 2016. All adult patients suitable for community acquired pneumonia (CAP) with risk factor for healthcare-associated infection were included. Results: We found out 130 subjects. The median age was 71 years (interquartile range 57-81). The male/female ratio was 1.55:1. Prior hospitalization was the most common risk factor for healthcare-associated infection. There were 35 cases (26.9%) with culture-positive (sputum and/or bronchial lavage). Isolated bacteria included Pseudomonas aeruginosa (9 cases), Klebsiella pneumoniae (9 cases), Escherichia coli (4 cases), Acinetobacter baumannii (6 cases), and Staphylococcus aureus (7 cases) with the characteristic of AMR similar to the bacterial spectrum associated with hospital-acquired pneumonia. Conclusion: MDROs were detected frequently in CAP patients with risk factor for healthcare-associated infection at the hospital with the high prevalence of AMR. This requires the urgent need to evaluate risk factors for MDRO infection in community-onset pneumonia when the concept of HCAP is no longer used.

scholarly journals Current Pattern and Clinico-Bacteriological Profile of Healthcare Associated Infections (HAI) in an ICU Setting: An Observational Study

2021 ◽  
Author(s):  
Mradul Kumar Daga ◽  
Govind Mawari ◽  
Saman Wasi ◽  
Naresh Kumar ◽  
Udbhav Sharma ◽  
...  
Keyword(s):  
Age Groups ◽  
Healthcare Facility ◽  
Central Line ◽  
Multidrug Resistant ◽  
Gram Negative Bacteria ◽  
Healthcare Associated Infections ◽  
Acinetobacter Species ◽  
Gram Negative ◽  
Causative Agents ◽  
Healthcare Associated

Abstract Objective To understand the pattern and types of healthcare associated infections (HAI) at our healthcare facility, and to determine the common causative agents and their antibiotic susceptibility profile. Methods One hundred consecutive patients diagnosed with HAI were enrolled and monitored; the causative organisms isolated on culture were recorded and their sensitivity profile was generated. Results Of the 100 patients diagnosed with HAI (mean age ± SD being 42 ± 17 years), there were a total of 110 hospital acquired infections with 10 patients having two infections each. Out of 100 patients with HAI, 69 patients had ventilator associated pneumonia (VAP), 21 patients had catheter associated urinary tract infection (CAUTI) patients, and 20 patients had central line associated bloodstream infection (CLABSI). There were 10 patients with both VAP and CAUTI. All of the HAIs were device associated. A total of 76 pathogens were isolated on culture. No organism was isolated in 40 HAI. Majority (94.7%) of the organisms isolated from HAIs were gram-negative bacteria and all were multidrug resistant. Seventy-seven of the enrolled patients expired while 23 were discharged from the hospital Conclusions Our study demonstrated that HAIs occur in patients of all age groups; younger patients are not spared. Majority of the HAIs were caused by multidrug resistant gram-negative bacteria and were associated with high patient mortality. Acinetobacter species was the most common organism associated with HAI.

scholarly journals Modeling Regional Transmission and Containment of a Healthcare-associated Multidrug-resistant Organism

2019 ◽  
Author(s):  
Prabasaj Paul ◽  
Rachel B Slayton ◽  
Alexander J Kallen ◽  
Maroya S Walters ◽  
John A Jernigan
Keyword(s):  
Multidrug Resistant ◽  
Resistant Organism ◽  
Healthcare Associated

Persisting intrahospital transmission of multidrug-resistant Klebsiella pneumoniae and challenges for infection control

2019 ◽  
Vol 40 (8) ◽  
pp. 904-909 ◽  
Author(s):  
Isabelle Vock ◽  
Sarah Tschudin-Sutter
Keyword(s):  
Klebsiella Pneumoniae ◽  
Infection Control ◽  
Multidrug Resistant ◽  
Global Scale ◽  
Resistance Mechanisms ◽  
Healthcare Associated Infections ◽  
The Past ◽  
Healthcare Settings ◽  
Healthcare Associated ◽  
Antibiotic Agents

AbstractIn the past several decades, the incidence of Klebsiella pneumoniae harboring resistance mechanisms against multiple antibiotic agents has increased on a global scale. We discuss reasons for ongoing transmission of multidrug-resistant K. pneumoniae in healthcare settings, which has resulted in the successful spread and establishment of this pathogen. It is now one of the most important causes of healthcare-associated infections worldwide.

scholarly journals Impact of Healthcare-Associated Infections on Length of Stay: A Study in 68 Hospitals in China

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Huixue Jia ◽  
Liuyi Li ◽  
Weiguang Li ◽  
Tieying Hou ◽  
Hongqiu Ma ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Bacterial Infections ◽  
Matched Control ◽  
Multidrug Resistant ◽  
Healthcare Associated Infections ◽  
E Coli ◽  
Significant Difference ◽  
Multidrug Resistant Pathogens ◽  
Healthcare Associated ◽  
Different Levels

Healthcare-associated infections (HAIs) not only bring additional medical cost to the patients but also prolong the length of stay (LOS). 2119 HAI case-patients and 2119 matched control-patients were identified in 68 hospitals in 14 primary sampling provinces of 7 major regions of China. The HAI caused an increase in stay of 10.4 days. The LOS due to HAI increased from 9.7 to 10.9 days in different levels of hospitals. There was no statistically significant difference in the increased LOS between different hospital levels. The increased LOS due to HAI in different regions was 8.2 to 12.6 days. Comparing between regions, we found that the increased LOS due to HAI in South China is longer than other regions except the Northeast. The gastrointestinal infection (GI) caused the shortest extra LOS of 6.7 days while the BSI caused the longest extra LOS of 12.8 days. The increased LOS for GI was significantly shorter than that of other sites. Among 2119 case-patients, the non-multidrug-resistant pathogens were detected in 365 cases. The average increased LOS due to these bacterial infections was 12.2 days. E. coli infection caused significantly shorter LOS. The studied MDROs, namely, MRSA, VRE, ESBLs-E. coli, ESBLs-KP, CR-E. coli, CR-KP, CR-AB, and CR-PA were detected in 381 cases (18.0%). The average increased LOS due to these MDRO infections was 14 days. Comparing between different MDRO infections, we found that the increased LOS due to HAI caused by CR-PA (26.5 days) is longer than other MDRO infections (shorter than 19.8 days).

scholarly journals Involving citizens in disinvestment decisions: what do health professionals think? Findings from a multi-method study in the English NHS

2017 ◽  
Vol 13 (2) ◽  
pp. 162-188 ◽  
Author(s):  
Tom Daniels ◽  
Iestyn Williams ◽  
Stirling Bryan ◽  
Craig Mitton ◽  
Suzanne Robinson
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Public Involvement ◽  
Health Care Systems ◽  
Future Research ◽  
Local Health ◽  
The Public ◽  
Health Care Leaders ◽  
Local Health Care ◽  
Care Systems

AbstractPublic involvement in disinvestment decision making in health care is widely advocated, and in some cases legally mandated. However, attempts to involve the public in other areas of health policy have been accused of tokenism and manipulation. This paper presents research into the views of local health care leaders in the English National Health Service (NHS) with regards to the involvement of citizens and local communities in disinvestment decision making. The research includes a Q study and follow-up interviews with a sample of health care clinicians and managers in senior roles in the English NHS. It finds that whilst initial responses suggest high levels of support for public involvement, further probing of attitudes and experiences shows higher levels of ambivalence and risk aversion and a far more cautious overall stance. This study has implications for the future of disinvestment activities and public involvement in health care systems faced with increased resource constraint. Recommendations are made for future research and practice.

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