scholarly journals Virginia’s Response to the Nursing Home COVID Action Network

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 494-494
Author(s):  
Anne Rhodes ◽  
Shannon Arnette ◽  
Dan Bluestein ◽  
Emily Ihara ◽  
Megumi Inoue ◽  
...  

Abstract The Virginia Geriatric Education Center’s GWEP recruited 195 of Virginia's 273 eligible nursing homes, using two Project ECHO Nursing Home Training Centers located at George Mason University and Virginia Commonwealth University. These sessions promoted collaboration, allowed for sharing of successes and challenges, and nurtured quality improvement projects. Our next steps are to survey Virginia’s nursing homes to see if they are interested in future ECHO sessions with other topics. We plan to share these results with the Institute for Healthcare Improvement so that we may be able to continue to enhance this national network of Training Centers with faculty and staffing dedicated to quality assurance and performance improvement. The program has initiated new collaborations with nursing homes across many healthcare disciplines, strengthened connections between nursing homes and research institutions, and will help foster innovative ways to collaborate in this post-pandemic virtually connected world.

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 494-494
Author(s):  
Cristine Henage ◽  
Jennifer Hubbard ◽  
J Marvin McBride ◽  
Ben Blomberg

Abstract Experts in geriatrics, infection control and nursing home administration joined the ECHO Hub team led by The Carolina Geriatrics Workforce Enhancement Program (CGWEP) at the University of North Carolina at Chapel Hill (UNC). Ninety-two of North Carolina’s 423 nursing homes enrolled in a 16-week videoconference series designed to address clinical, logistical, and leadership issues related to COVID-19. The CGWEP coordinated recruitment with two other Training Centers at UNC Family Medicine and the Mountain Area Health Education Center, reaching 58% of all NC nursing homes (N=245). Faculty used curriculum and pre-recorded videos provided by the Institute for Healthcare Improvement (IHI). Discussions demonstrated real-world problem solving as participants applied what they learned to local conditions. Quality Improvement (QI) experts from IHI mentored participants in gathering data and completing Plan, Do, Study, Act cycles to better respond to the challenges of COVID-19 among a critically vulnerable population.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 493-494
Author(s):  
Samantha Cotton ◽  
Pamela Yankeelov ◽  
Barbara Gordon ◽  
Anna Faul

Abstract The University of Louisville ECHO Hub for the Nursing Home COVID Action Network put together a hub of experts that could effectively address the diverse needs of the 240 nursing homes in the 7 cohorts launched. We included an infectious disease expert, a geriatrician, and a behavioral health specialist who adjusted the curriculum to be more in line with the needs of the nursing homes. Our nursing homes were diverse in terms of geography, size and location. We created space for our cohorts to feel comfortable with each other, despite their differences. To foster this sense of togetherness, our facilitators used anonymous opinion polls and incorporated the use of virtual breakout rooms to encourage small group discussions. These strategies assisted in developing a sense of community within the Project ECHO sessions, that will continue to evolve in the post COVID world.


Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3951
Author(s):  
Márcia Esteves ◽  
Marisa Esteves ◽  
António Abelha ◽  
José Machado

Over the past few years, the rapidly aging population has been posing several challenges to healthcare systems worldwide. Consequently, in Portugal, nursing homes have been getting a higher demand, and health professionals working in these facilities are overloaded with work. Moreover, the lack of health information and communication technology (HICT) and the use of unsophisticated methods, such as paper, in nursing homes to clinically manage residents lead to more errors and are time-consuming. Thus, this article proposes a proof of concept of a mobile health (mHealth) application developed for the health professionals working in a Portuguese nursing home to support them at the point-of-care, namely to manage and have access to information and to help them schedule, perform, and digitally record their tasks. Additionally, clinical and performance business intelligence (BI) indicators to assist the decision-making process are also defined. Thereby, this solution aims to introduce technological improvements into the facility to improve healthcare delivery and, by taking advantage of the benefits provided by these improvements, lessen some of the workload experienced by health professionals, reduce time-waste and errors, and, ultimately, enhance elders’ quality of life and improve the quality of the services provided.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 493-493
Author(s):  
Leland Waters ◽  
Nina Tumosa

Abstract In late September, 2020, the Geriatric Workforce Enhancement Program’s (GWEP) Program Officer, at the Health Resources Services Administration (HRSA), alerted the 48 GWEPs about a nationwide initiative focusing specifically on the pandemic’s effect in nursing facilities. The ECHO Institute at the University of New Mexico negotiated a national contract with the Agency for Healthcare Research and Quality (AHRQ) to provide a nationwide educational intervention via the CARES Act Provider Relief Fund. The ECHO Institute recruited over 100 Training Centers as educational coordinators for the Project ECHO Nursing Home National COVID Action Network. Our Project Officer suggested that individual GWEPs participate in this effort and take the lead or provide geriatric educators for these Training Centers. Project ECHO (Extension for Community Healthcare Outcomes) is an innovative telementoring program that creates virtual learning communities, bringing together healthcare providers and subject matter experts using videoconference technology for brief presentations, and case-based learning, fostering an “all learn, all teach” approach. This symposium will describe the journeys that five GWEPs experienced becoming Training Centers, rapidly deploying a nursing home ECHO project, to support nursing home staff on best practices for protecting patients, staff, and visitors from coronavirus infection and spread. GWEPs from The University of Louisville, the University of North Carolina, the University of North Texas, the University of Rochester and The Virginia Geriatric Education Center’s two ECHO Hubs, joined the National COVID Action Network. This presentation will provide an overview of why GWEPs are well positioned to address emergent needs with short notice.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S62-S62
Author(s):  
Christianna Williams ◽  
Qing Zheng ◽  
Alan White

Abstract The Centers for Medicare & Medicaid Services (CMS) developed the Payroll-Based Journal (PBJ) system for nursing homes to electronically submit direct care staffing information based on payroll and other auditable data. In spring 2018, CMS started reporting PBJ-based staffing measures on Nursing Home Compare. The objective of this research is to examine nursing home staffing patterns using PBJ data. We created measures of staffing hours per resident day, using PBJ staffing information and resident census calculated from MDS assessments. We examined how PBJ staffing levels varied for different types of nursing homes and the relationship between staffing and performance on other parts of CMS’s Five-Star Quality Rating System. We also examined weekday/weekend variation in staffing levels. We tracked about 15,650 nursing homes from 2017 to 2018. The average staffing level was 3.85 hours per resident day, of which 0.66 hours were for RNs. Average staffing levels were higher for smaller, non-profit, and hospital-based facilities. They were also higher for facilities with higher health inspection and quality measure ratings. Staffing levels were about 17% lower on weekends than on weekdays, and RN staffing was 38% lower on weekends. About 20% of facilities had one or more weekend day without any RN staffing in the quarter, while only 8% of facilities had any weekday without RN staffing. The use of payroll-based staffing measures improves the accuracy of the staffing information reported on Nursing Home Compare, providing consumers with additional quality-related information that can help guide their nursing home placement decisions.


2021 ◽  
Author(s):  
William Calo ◽  
Erica Francis ◽  
Lan Kong ◽  
Ruth Hogentogler ◽  
Emily Heilbrunn ◽  
...  

BACKGROUND Nationally, nursing homes have been devastated by COVID-19 with 710,000 cases and 138,000 deaths. Although facilities are required to have infection control staff, only 3% of designated infection preventionists have taken a basic infection control course prior to the COVID-19 pandemic. Most research has focused on infection control in the acute care setting. However, little is known about the implementation of infection control practices and effective interventions in nursing homes. This study utilizes Project ECHO (Extension for Community Health Outcomes), an evidence-based telementoring model, to connect Penn State University subject matter experts with nursing home staff and administrators to proactively support evidence-based infection control guideline implementation. OBJECTIVE Our study seeks to answer the research question of how evidence-based infection control guidelines can be implemented effectively in nursing homes, including comparing the effectiveness of two ECHO-delivered training interventions on key patient-centered outcomes, including reducing the number of residents with a COVID-19 diagnosis. METHODS A stratified cluster randomized design was utilized. Using a 1:1 ratio, we randomly assigned 136 nursing homes to ECHO or ECHO Plus. Randomization was stratified by geographic location, baseline COVID-19 infection rate, and facility capacity. The study arms included two phases. In phase one, nursing homes in both study arms received a 16-week infectious disease and quality improvement training intervention via real-time, interactive videoconferencing and the ECHO learning model. Phase one sessions were up to 90 minutes in duration. In phase two, the ECHO group was offered optional 60-minute office hours for nine weeks and the ECHO Plus group received nine weeks of 60-minute sessions on emerging topics and an additional eight-session refresher series on infection control. RESULTS Two hundred ninety nursing home facilities were assessed for eligibility, with 136 nursing homes recruited and randomly assigned to ECHO or ECHO Plus. Guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, we will simultaneously evaluate the study’s effectiveness and implementation outcomes at baseline (intervention start date), 4, 6, 12, and 18 months. The primary outcome is COVID-19 infection rate reduction in nursing homes. Secondary outcomes include reduction of flu-like illness and COVID-19 hospitalizations and deaths, and improvements in quality of life (QOL). Surveys and interviews with participants will also provide data as to the adoption, implementation, and maintenance of best practices taught throughout ECHO sessions. CONCLUSIONS A multi-pronged approach to improving infection control and emergency preparedness in nursing homes is important, given the toll that the COVID-19 pandemic has taken on residents and staff. The ECHO model has significant strengths when compared to traditional training, as it allows for remote learning delivered by a multi-disciplinary team of experts and utilizes case discussions that match the context and capacity of nursing homes. CLINICALTRIAL NCT04499391


Long-term care for older adults is highly affect by the COVID-19 outbreak. The objective of this rapid review is to understand what we can learn from previous crises or disasters worldwide to optimize the care for older adults in long term care facilities during the outbreak of COVID-19. We searched five electronic databases to identify potentially relevant articles. In total, 23 articles were included in this study. Based on the articles, it appeared that nursing homes benefit from preparing for the situation as best as they can. For instance, by having proper protocols and clear division of tasks and collaboration within the organization. In addition, it is helpful for nursing homes to collaborate closely with other healthcare organizations, general practitioners, informal caregivers and local authorities. It is recommended that nursing homes pay attention to capacity and employability of staff and that they support or relieve staff where possible. With regard to care for the older adults, it is important that staff tries to find a new daily routine in the care for residents as soon as possible. Some practical tips were found on how to communicate with people who have dementia. Furthermore, behavior of people with dementia may change during a crisis. We found tips for staff how to respond and act upon behavior change. After the COVID-19 outbreak, aftercare for staff, residents, and informal caregivers is essential to timely detect psychosocial problems. The consideration between, on the one hand, acute safety and risk reduction (e.g. by closing residential care facilities and isolating residents), and on the other hand, the psychosocial consequences for residents and staff, were discussed in case of other disasters. Furthermore, the search of how to provide good (palliative) care and to maintain quality of life for older adults who suffer from COVID-19 is also of concern to nursing home organizations. In the included articles, the perspective of older adults, informal caregivers and staff is often lacking. Especially the experiences of older adults, informal caregivers, and nursing home staff with the care for older adults in the current situation, are important in formulating lessons about how to act before, during and after the coronacrisis. This may further enhance person-centered care, even in times of crisis. Therefore, we recommend to study these experiences in future research.


1997 ◽  
Vol 36 (1) ◽  
pp. 77-87 ◽  
Author(s):  
Nicholas G. Castle

Long-term care institutions have emerged as dominant sites of death for the elderly. However, studies of this trend have primarily examined nursing homes. The purpose of this research is to determine demographic, functional, disease, and facility predictors and/or correlates of death for the elderly residing in board and care facilities. Twelve factors are found to be significant: proportion of residents older than sixty-five years of age, proportion of residents who are chair- or bed-fast, proportion of residents with HIV, bed size, ownership, chain membership, affiliation with a nursing home, number of health services provided other than by the facility, the number of social services provided other than by the facility, the number of social services provided by the facility, and visits by Ombudsmen. These are discussed and comparisons with similar studies in nursing homes are made.


2021 ◽  
pp. 1-13
Author(s):  
Julie L. O’Sullivan ◽  
Sonia Lech ◽  
Paul Gellert ◽  
Ulrike Grittner ◽  
Jan-Niklas Voigt-Antons ◽  
...  

Abstract Objectives: To investigate global and momentary effects of a tablet-based non-pharmacological intervention for nursing home residents living with dementia. Design: Cluster-randomized controlled trial. Setting: Ten nursing homes in Germany were randomly allocated to the tablet-based intervention (TBI, 5 units) or conventional activity sessions (CAS, 5 units). Participants: N = 162 residents with dementia. Intervention: Participants received regular TBI (n = 80) with stimulating activities developed to engage people with dementia or CAS (n = 82) for 8 weeks. Measurements: Apathy Evaluation Scale (AES-I, primary outcome), Quality of Life in Alzheimer’s Disease scale, QUALIDEM scale, Neuropsychiatric Inventory, Geriatric Depression Scale, and psychotropic medication (secondary outcomes). Momentary quality of life was assessed before and after each activity session. Participants and staff were blinded until the collection of baseline data was completed. Data were analyzed with linear mixed-effects models. Results: Levels of apathy decreased slightly in both groups (mean decrease in AES-I of .61 points, 95% CI −3.54, 2.33 for TBI and .36 points, 95% CI −3.27, 2.55 for CAS). Group difference in change of apathy was not statistically significant (β = .25; 95% CI 3.89, 4.38, p = .91). This corresponds to a standardized effect size (Cohen’s d) of .02. A reduction of psychotropic medication was found for TBI compared to CAS. Further analyses revealed a post-intervention improvement in QUALIDEM scores across both groups and short-term improvements of momentary quality of life in the CAS group. Conclusions: Our findings suggest that interventions involving tailored activities have a beneficial impact on global and momentary quality of life in nursing home residents with dementia. Although we found no clear advantage of TBI compared to CAS, tablet computers can support delivery of non-pharmacological interventions in nursing homes and facilitate regular assessments of fluctuating momentary states.


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