Antimicrobial use in post-acute care: A retrospective descriptive analysis in seven long-term care facilities in Georgia

2005 ◽  
Vol 6 (2) ◽  
pp. 109-112 ◽  
Author(s):  
Chesley L. Richards ◽  
Mounir Darradji ◽  
Andrew Weinberg ◽  
Joseph G. Ouslander
Keyword(s):  
Acute Care ◽  
Long Term Care ◽  
Descriptive Analysis ◽  
Antimicrobial Use ◽  
Term Care ◽  
Care Facilities ◽  
Post Acute Care

The Burden of Infection in Long-Term Care

2000 ◽  
Vol 21 (10) ◽  
pp. 674-679 ◽  
Author(s):  
Larry J. Strausbaugh ◽  
Carol L. Joseph
Keyword(s):  
United States ◽  
Acute Care ◽  
Nosocomial Infections ◽  
Long Term Care ◽  
Research Priorities ◽  
The United States ◽  
Antimicrobial Use ◽  
Term Care ◽  
Care Facilities

AbstractAvailable data, although fragmentary, indicate that infections impose a large burden on long-term–care facilities (LTCFs) in the United States. Endemic infections occur with frequencies estimated to range between 1.64 and 3.83 million per year. These estimates rival or exceed the annual tally for nosocomial infections in acute-care settings. Infections associated with outbreaks caused by respiratory, gastrointestinal, and antimicrobial-resistant pathogens burden LTCFs even further. As judged by antimicrobial use, transfers to hospital, and mortality figures, infections in LTCFs are not trivial. Moreover, annual costs associated with these infections appear to exceed $1 billion. Recognition of the burden associated with infection in LTCFs helps to identify research priorities for this rapidly growing area of healthcare.

scholarly journals Characterization and evolution of infection control practices among SARS-CoV-2 infected healthcare workers of acute care hospitals and long-term care facilities in Quebec, Canada, Spring 2020

2021 ◽  
pp. 1-37
Author(s):  
Sara Carazo ◽  
Denis Laliberté ◽  
Jasmin Villeneuve ◽  
Richard Martin ◽  
Pierre Deshaies ◽  
...  
Keyword(s):  
Acute Care ◽  
Attack Rate ◽  
Healthcare Workers ◽  
Long Term Care ◽  
Acute Care Hospitals ◽  
Exposure Period ◽  
Infection Prevention And Control ◽  
Term Care ◽  
Care Facilities

ABSTRACT Objectives: To estimate the SARS-CoV-2 infection rate and the secondary attack rate among healthcare workers (HCWs) in Quebec, the most affected province of Canada during the first wave; to describe the evolution of work-related exposures and infection prevention and control (IPC) practices in infected HCWs; and to compare the exposures and practices between acute care hospitals (ACHs) and long-term care facilities (LTCFs). Design: Survey of cases Participants: Quebec HCWs from private and public institutions with laboratory-confirmed COVID-19 diagnosed between 1st March and 14th June 2020. HCWs ≥18 years old, having worked during the exposure period and survived their illness were eligible for the survey. Methods: After obtaining consent, 4542 HCWs completed a standardized questionnaire. COVID-19 rates and proportions of exposures and practices were estimated and compared between ACHs and LTCFs. Results: HCWs represented 25% (13,726/54,005) of all reported COVID-19 cases in Quebec and had an 11-times greater rate than non-HCWs. Their secondary household attack rate was 30%. Most affected occupations were healthcare support workers, nurses and nurse assistants, working in LTCFs (45%) and ACHs (30%). Compared to ACHs, HCWs of LTCFs had less training, higher staff mobility between working sites, similar PPE use but better self-reported compliance with at-work physical distancing. Sub-optimal IPC practices declined over time but were still present at the end of the first wave. Conclusion: Quebec HCWs and their families were severely affected during the first wave of COVID-19. Insufficient pandemic preparedness and suboptimal IPC practices likely contributed to high transmission in both LTCFs and ACHs.

scholarly journals Automated Nationwide Benchmarking Dashboard for Antimicrobial Stewardship Programs within the Veterans’ Health Administration

2021 ◽  
Vol 1 (S1) ◽  
pp. s23-s24
Author(s):  
Michihiko Goto ◽  
Eli Perencevich ◽  
Alexandre Marra ◽  
Bruce Alexander ◽  
Brice Beck ◽  
...  
Keyword(s):  
Acute Care ◽  
Antimicrobial Stewardship ◽  
Risk Adjustment ◽  
Long Term Care ◽  
Antimicrobial Use ◽  
Veterans Health ◽  
Health Administration ◽  
Term Care ◽  
Patient Level

Group Name: VHA Center for Antimicrobial Stewardship and Prevention of Antimicrobial Resistance (CASPAR) Background: Antimicrobial stewardship programs (ASPs) are advised to measure antimicrobial consumption as a metric for audit and feedback. However, most ASPs lack the tools necessary for appropriate risk adjustment and standardized data collection, which are critical for peer-program benchmarking. We created a system that automatically extracts antimicrobial use data and patient-level factors for risk-adjustment and a dashboard to present risk-adjusted benchmarking metrics for ASP within the Veterans’ Health Administration (VHA). Methods: We built a system to extract patient-level data for antimicrobial use, procedures, demographics, and comorbidities for acute inpatient and long-term care units at all VHA hospitals utilizing the VHA’s Corporate Data Warehouse (CDW). We built baseline negative binomial regression models to perform risk-adjustments based on patient- and unit-level factors using records dated between October 2016 and September 2018. These models were then leveraged both retrospectively and prospectively to calculate observed-to-expected ratios of antimicrobial use for each hospital and for specific units within each hospital. Data transformation and applications of risk-adjustment models were automatically performed within the CDW database server, followed by monthly scheduled data transfer from the CDW to the Microsoft Power BI server for interactive data visualization. Frontline antimicrobial stewards at 10 VHA hospitals participated in the project as pilot users. Results: Separate baseline risk-adjustment models to predict days of therapy (DOT) for all antibacterial agents were created for acute-care and long-term care units based on 15,941,972 patient days and 3,011,788 DOT between October 2016 and September 2018 at 134 VHA hospitals. Risk adjustment models include month, unit types (eg, intensive care unit [ICU] vs non-ICU for acute care), specialty, age, gender, comorbidities (50 and 30 factors for acute care and long-term care, respectively), and preceding procedures (45 and 24 procedures for acute care and long-term care, respectively). We created additional models for each antimicrobial category based on National Healthcare Safety Network definitions. For each hospital, risk-adjusted benchmarking metrics and a monthly ranking within the VHA system were visualized and presented to end users through the dashboard (an example screenshot in Figure 1). Conclusions: Developing an automated surveillance system for antimicrobial consumption and risk-adjustment benchmarking using an electronic medical record data warehouse is feasible and can potentially provide valuable tools for ASPs, especially at hospitals with no or limited local informatics expertise. Future efforts will evaluate the effectiveness of dashboards in these settings.Funding: NoDisclosures: None

scholarly journals Health problems and violence experiences of nurses working in acute care hospitals, long-term care facilities, and home-based long-term care in Germany: A systematic review

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260050
Author(s):  
Andrea Schaller ◽  
Teresa Klas ◽  
Madeleine Gernert ◽  
Kathrin Steinbeißer
Keyword(s):  
Mental Health ◽  
Acute Care ◽  
Long Term Care ◽  
Mental Health Problems ◽  
Acute Care Hospitals ◽  
Health Problems ◽  
Term Care ◽  
Home Based ◽  
Care Facilities

Background Working in the nursing sector is accompanied by great physical and mental health burdens. Consequently, it is necessary to develop target-oriented, sustainable profession-specific support and health promotion measures for nurses. Objectives The present review aims to give an overview of existing major health problems and violence experiences of nurses in different settings (acute care hospitals, long-term care facilities, and home-based long-term care) in Germany. Methods A systematic literature search was conducted in PubMed and PubPsych and completed by a manual search upon included studies’ references and health insurance reports. Articles were included if they had been published after 2010 and provided data on health problems or violence experiences of nurses in at least one care setting. Results A total of 29 studies providing data on nurses health problems and/or violence experience were included. Of these, five studies allowed for direct comparison of nurses in the settings. In addition, 14 studies provided data on nursing working in acute care hospitals, ten on nurses working in long-term care facilities, and four studies on home-based long-term care. The studies either conducted a setting-specific approach or provided subgroup data from setting-unspecific studies. The remaining studies did not allow setting-related differentiation of the results. The available results indicate that mental health problems are the highest for nurses in acute care hospitals. Regarding violence experience, nurses working in long-term care facilities appear to be most frequently affected. Conclusion The state of research on setting-specific differences of nurses’ health problems and violence experiences is insufficient. Setting-specific data are necessesary to develop target-group specific and feasible interventions to support the nurses’ health and prevention of violence, as well as dealing with violence experiences of nurses.

Sign in / Sign up

Export Citation Format

Share Document