Long-term projections of public health and long-term care expenditures

2020 ◽  
Keyword(s):  
Public Health ◽  
Long Term Care ◽  
Term Care

scholarly journals The Impact of Enhanced Antimicrobial Stewardship Support on Antibiotic Starts in Long-Term Care Facilities

2020 ◽  
Vol 41 (S1) ◽  
pp. s527-s527
Author(s):  
Gabriela Andujar-Vazquez ◽  
Kirthana Beaulac ◽  
Shira Doron ◽  
David R Snydman
Keyword(s):  
Public Health ◽  
Pilot Study ◽  
Infection Control ◽  
Antimicrobial Stewardship ◽  
Long Term Care ◽  
Medical Center ◽  
Term Care ◽  
Care Facilities ◽  
The Impact

Background: The Tufts Medical Center Antimicrobial Stewardship (ASP) Team has partnered with the Massachusetts Department of Public Health (MDPH) to provide broad-based educational programs (BBEP) to long-term care facilities (LTCFs) in an effort to improve ASP and infection control practices. LTCFs have consistently expressed interest in individualized and hands-on involvement by ASP experts, yet they lack resources. The goal of this study was to determine whether “enhanced” individualized guidance provided by an ASP expert would lead to antibiotic start decreases in LTCFs participating in our pilot study. Methods: A pilot study was conducted to test the feasibility and efficacy of providing enhanced ASP and infection control practices to LTCFs. In total, 10 facilities already participating in MDPH BBEP and submitting monthly antibiotic start data were enrolled, were stratified by bed size and presence of dementia unit, and were randomized 1:1 to the “enhanced” group (defined as reviewing protocols and antibiotic start cases, providing lectures and feedback to staff and answering questions) versus the “nonenhanced” group. Antibiotic start data were validated and collected prospectively from January 2018 to July 2019, and the interventions began in April 2019. Due to staff turnover and lack of engagement, intervention was not possible in 2 of the 5 LTCFs randomized to the enhanced group, which were therefore analyzed as a nonenhanced group. An incidence rate ratios (IRRs) with 95% CIs were calculated comparing the antibiotic start rate per 1,000 resident days between periods in the pilot groups. Results: The average bed sizes for enhanced groups versus nonenhanced groups were 121 (±71.0) versus 108 (±32.8); the average resident days per facility per month were 3,415.7 (±2,131.2) versus 2,911.4 (±964.3). Comparatively, 3 facilities in the enhanced group had dementia unit versus 4 in the nonenhanced group. In the per protocol analysis, the antibiotic start rate in the enhanced group before versus after the intervention was 11.35 versus 9.41 starts per 1,000 resident days (IRR, 0.829; 95% CI, 0.794–0.865). The antibiotic start rate in the nonenhanced group before versus after the intervention was 7.90 versus 8.23 antibiotic starts per 1,000 resident days (IRR, 1.048; 95% CI, 1.007–1.089). Physician hours required for ASP for the enhanced group totaled 8.9 (±2.2) per facility per month. Conclusions: Although the number of hours required for intervention by an expert was not onerous, maintaining engagement proved difficult and in 2 facilities could not be achieved. A statistically significant 20% decrease in the antibiotic start rate was achieved in the enhanced group after interventions, potentially reflecting the benefit of enhanced ASP support by an expert.Funding: This study was funded by the Leadership in Epidemiology, Antimicrobial Stewardship, and Public Health (LEAP) fellowship training grant award from the CDC.Disclosures: None

scholarly journals Early warning and rapid public health response to prevent COVID-19 outbreaks in long-term care facilities (LTCF) by monitoring SARS-CoV-2 RNA in LTCF site-specific sewage samples and assessment of antibodies response in this population: prospective study protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e052282
Author(s):  
Bonita E Lee ◽  
Christopher Sikora ◽  
Douglas Faulder ◽  
Eleanor Risling ◽  
Lorie A Little ◽  
...  
Keyword(s):  
Public Health ◽  
Early Warning ◽  
Early Warning System ◽  
Long Term Care ◽  
Warning System ◽  
Control Measures ◽  
Term Care ◽  
Site Specific ◽  
Care Facilities

IntroductionThe COVID-19 pandemic has an excessive impact on residents in long-term care facilities (LTCF), causing high morbidity and mortality. Early detection of presymptomatic and asymptomatic COVID-19 cases supports the timely implementation of effective outbreak control measures but repetitive screening of residents and staff incurs costs and discomfort. Administration of vaccines is key to controlling the pandemic but the robustness and longevity of the antibody response, correlation of neutralising antibodies with commercial antibody assays, and the efficacy of current vaccines for emerging COVID-19 variants require further study. We propose to monitor SARS-CoV-2 in site-specific sewage as an early warning system for COVID-19 in LTCF and to study the immune response of the staff and residents in LTCF to COVID-19 vaccines.Methods and analysisThe study includes two parts: (1) detection and quantification of SARS-CoV-2 in LTCF site-specific sewage samples using a molecular assay followed by notification of Public Health within 24 hours as an early warning system for appropriate outbreak investigation and control measures and cost–benefit analyses of the system and (2) testing for SARS-CoV-2 antibodies among staff and residents in LTCF at various time points before and after COVID-19 vaccination using commercial assays and neutralising antibody testing performed at a reference laboratory.Ethics and disseminationEthics approval was obtained from the University of Alberta Health Research Ethics Board with considerations to minimise risk and discomforts for the participants. Early recognition of a COVID-19 case in an LTCF might prevent further transmission in residents and staff. There was no direct benefit identified to the participants of the immunity study. Anticipated dissemination of information includes a summary report to the immunity study participants, sharing of study data with the scientific community through the Canadian COVID-19 Immunity Task Force, and prompt dissemination of study results in meeting abstracts and manuscripts in peer-reviewed journals.

scholarly journals A cross-sectional survey assessing the preparedness of the long-term care sector to respond to the COVID-19 pandemic in Ontario, Canada

2020 ◽  
Author(s):  
Henry Yu-Hin Siu ◽  
Lorand Kristof ◽  
Dawn Elston ◽  
Abe Hafid ◽  
Fred Mather
Keyword(s):  
Public Health ◽  
Long Term Care ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Term Care ◽  
Wide Range ◽  
Significant Public Health ◽  
Public Health Officials ◽  
The Government

Abstract Background: The COVID-19 pandemic is a significant public health emergency that impacts all sectors of healthcare. The negative health outcomes for the COVID-19 infection have been most severe in the frail elderly dwelling in Canadian long-term care (LTC) homes.Methods: An online cross-sectional survey of Ontario LTC Clinicians working in LTC homes in Ontario Canada was conducted to provide the LTC clinician perspective on the preparedness and engagement of the LTC sector during the COVID-19 pandemic. The survey questionnaire was developed in collaboration with the Ontario Long-Term Care Clinicians organization (OLTCC) and was distributed between March 30, 2020 to May 25, 2020. All registered members of the OLTCC and Nurse-led LTC Outreach Teams were invited to participate. The primary outcomes were: 1) the descriptive report of the screening measures implemented, communication and information received, and the preparation of the respondent’s LTC home to a potential COVID-19 outbreak; and 2) the level of agreement, as reported using a five-point Likert scale), to COVID-19 preparedness statements for the respondent’s LTC home was also assessed.Results: The overall response rate was 54% (160/294). LTC homes implemented a wide range of important interventions (e.g. instituting established respiratory isolation protocols, active screening of new LTC admissions, increasing education on infection control processes, encouraging sick staff to take time off, etc). Ample communications pertinent to the pandemic were received from provincial LTC organizations, the government and public health officials. However, the feasibility of implementing public health recommendations, as well as the engagement of the LTC sector in pandemic planning were identified as areas of concern. Medical director status was associated with an increased knowledge of local implementation of interventions to mitigate COVID-19, as well as endorsing increased access to reliable COVID-19 information and resources to manage a potential COVID-19 outbreak in their LTC home.Conclusions: This study highlights the communication to and implementation of recommendations in the Ontario LTC sector, despite some concerns regarding feasibility. Importantly, LTC clinician respondents clearly indicated that better engagement with LTC leaders is needed to plan a coordinated pandemic response.

Improving the Fate of Nursing Homes During the COVID-19 Pandemic: The Need for Policy

2021 ◽  
pp. e1-e3
Author(s):  
R. Tamara Konetzka
Keyword(s):  
Public Health ◽  
United States ◽  
New York ◽  
Nursing Homes ◽  
Long Term Care ◽  
New York Times ◽  
The United States ◽  
Term Care ◽  
Care Facilities

Approximately 40% of all COVID-19 deaths in the United States have been linked to long-term care facilities.1 Early in the pandemic, as the scope of the problem became apparent, the nursing home sector generated significant media attention and public alarm. A New York Times article in mid-April referred to nursing homes as “death pits”2 because of the seemingly uncontrollable spread of the virus through these facilities. This devastation continued during subsequent surges,3 but there is a role for policy to change this trajectory. (Am J Public Health. Published online ahead of print January 28, 2021: e1–e3. https://doi.org/10.2105/AJPH.2020.306107 )

scholarly journals COVID-19 Across the Landscape of Long-Term Care in Alameda County: Heterogeneity and Disparities

2022 ◽  
Vol 8 ◽  
pp. 233372142110734
Author(s):  
Terry E. Hill ◽  
David J. Farrell
Keyword(s):  
Public Health ◽  
Long Term Care ◽  
The Elderly ◽  
Population Based ◽  
Nursing Facilities ◽  
Term Care ◽  
Skilled Nursing ◽  
Data Infrastructure ◽  
Care Facilities

Throughout the pandemic, public health and long-term care professionals in our urban California county have linked local and state COVID-19 data and performed observational exploratory analyses of the impacts among our diverse long-term care facilities (LTCFs). Case counts from LTCFs through March 2021 included 4309 (65%) in skilled nursing facilities (SNFs), 1667 (25%) in residential care facilities for the elderly (RCFEs), and 273 (4%) in continuing care retirement communities (CCRCs). These cases led to 582 COVID-19 resident deaths and 12 staff deaths based on death certificates. Data on decedents’ age, race, education, and country of birth reflected a hierarchy of wealth and socioeconomic status from CCRCs to RCFEs to SNFs. Mortality rates within SNFs were higher for non-Whites than Whites. Staff accounted for 42% of LTCF-associated COVID-19 cases, and over 75% of these staff were unlicensed. For all COVID-19 deaths in our jurisdiction, both LTCF and community, 82% of decedents were age 65 or over. Taking a comprehensive, population-based approach across our heterogenous LTCF landscape, we found socioeconomic disparities within COVID-19 cases and deaths of residents and staff. An improved data infrastructure linking public health and delivery systems would advance our understanding and potentiate life-saving interventions within this vulnerable ecosystem.

scholarly journals Helminthiasis among Elderly with Long Term Care Setting, Sisaket Province, Thailand

2021 ◽  
Keyword(s):  
Public Health ◽  
Long Term Care ◽  
Multinomial Logistic Regression ◽  
The Elderly ◽  
Stepwise Multiple Regression ◽  
Parasitic Diseases ◽  
Preventive Behavior ◽  
Term Care ◽  
Factors Associated

Beyond the COVID-19 pandemics, from the Era of New normal along with advancement in technology is a concurrent advancement in public health. Prevention and control programs dealing with tropical and parasitic diseases have been developed and implemented. However, even with these advances, tropical and parasitic diseases remain a serious concern for the public health system in Thailand. The first cross-sectional analytical study identified risk factors associated with helminthiasis among the elderly in Srisaket Province. The investigators already visited and collected from 293 subjects during Year 2020. The data were analyzed descriptive statistics include number, percentage, mean, standard deviation, minimum, and maximum values. Inferential statistics investigated the association of factors affecting the prevention behavior of helminthiasis infection among the elderly by Pearson's correlation coefficient statistics. Analysis equation was also used to predict the relationship between two groups of variables by using Stepwise Multinomial logistic regression statistics. The study revealed a higher prevalence of helminthiasis in the population age group of over 60 to 90 years old compared to other age groups. It also indicated that males (37.9%) were more significant than females (62.1%). The results of fecal eggs or larvae counts of elderly in the overview showed that they were hookworm infection 6.80%, Taenia infection 4.40% and Opisthorchis’s 2.40% respectively. The results revealed 4 factors associated with preventive behavior of helminthiasis knowledge, perceived benefit, social support, and self-efficacy respectively. The stepwise multiple regression analysis used to predict the preventive behavior of helminthiasis among elderly in Sisaket Province could jointly explain 16.20% of the variance (R2 = 0.162, R2adj = 0.150, SEest = 7.39094, F = 13.383, p = 0.03) of preventive behavior of helminthiasis among elderly with significant at level 0.05. Therefore, establishing the long-term care preventive model of helminthiasis should focus on these factors.

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