scholarly journals A retrospective cohort study on the risk assessment of newly certificated long-term care need of elderly individuals in a community: Basic checklist and specific health checkup

2017 ◽  
Vol 12 (2) ◽  
pp. 68-84 ◽  
Author(s):  
Toshiki Katsura ◽  
Megumi Fujimoto ◽  
Miho Shizawa ◽  
Akiko Hoshino ◽  
Kanae Usui ◽  
...  
JMIR Aging ◽  
10.2196/11117 ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. e11117 ◽  
Author(s):  
Sakiko Itoh ◽  
Hiroyuki Hikichi ◽  
Hiroshi Murayama ◽  
Miho Ishimaru ◽  
Yasuko Ogata ◽  
...  

2021 ◽  
Author(s):  
Benjamin Lefevre ◽  
Laura Tondeur ◽  
Yoann Madec ◽  
Rebecca Grant ◽  
Bruno Lina ◽  
...  

Abstract Background: We aimed to assess the effectiveness of the BNT162b2 mRNA vaccine against B.1.351 (beta) variant among residents of long-term care facilities (LCTFs) in eastern France. Methods: We used routinely collected surveillance and COVID-19 vaccination data to conduct a retrospective cohort study of SARS-CoV-2 B.1.351 infection incidence and vaccine effectiveness among LCTFs residents in eastern France between 15 January and 19 May 2021. Data from secondary RT-PCR screening were used to identify B.1.351 variants. Findings: Included in our analysis were 378 residents from five LCTFs: 287 (76%) females, with median (IQR) age of 89 (83-92) years. Two B.1.351 outbreaks took place in LTCFs in which more than 70% of residents had received two doses of BNT162b2 mRNA vaccine, which included 11 cases of severe disease and six deaths among those who had received two doses. Vaccine effectiveness (95% CI) seven days after the second dose of vaccine was 49% (14-69) against any infection with B.1.351 and 86% (67-94) against severe forms of COVID-19. In multivariable analysis, females were less likely to develop severe forms of disease (IRR = 0.35, 95% CI = 0.20-0.63). Interpretation: We observed reduced vaccine effectiveness associated with B.1.351, as well as B.1.351 outbreaks in two LTCFs among individuals who had received two doses of vaccine. Our findings highlight the need to maintain SARS-CoV-2 surveillance in these high-risk settings beyond the current COVID-19 mass vaccination campaign, and advocate for a booster vaccine dose prior to the next winter season.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Patience Moyo ◽  
Andrew R. Zullo ◽  
Kevin W. McConeghy ◽  
Elliott Bosco ◽  
Robertus van Aalst ◽  
...  

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S182-S182
Author(s):  
Suganya Chandramohan ◽  
Amar Krishna ◽  
Parminder Virdi ◽  
Jordon Polistico ◽  
Nikhila Thammineni ◽  
...  

2020 ◽  
pp. 073346481990125
Author(s):  
Nicole S. Shaver ◽  
Julie Lapenskie ◽  
Glenys A. Smith ◽  
Amy T. Hsu ◽  
Clare Liddy ◽  
...  

This retrospective cohort study describes the rates, location, and determinants of specialist physician visits among 257,216 long-term care (LTC) residents across 648 LTC homes in Ontario, Canada, between 2007 and 2016. Visit rates in the last year of life were calculated for a sub-cohort of residents who died in LTC between 2013 and 2016. Visits were measured per resident-year using physician billings. Over 10 years, the rate of visits to specialists outside the LTC home was consistently higher than within LTC (2.99 vs. 1.55 visits/resident-year). Residents were less likely to receive specialist care if they were older, had dementia, or lived in urban LTC homes. From 12 months before death to the last week of life, rates of specialist visits increased by 246% and 56% inside and outside of LTC, respectively. Improving access to physician specialist care in LTC homes may reduce burdensome transitions and improve resident quality of life.


2018 ◽  
Vol 39 (8) ◽  
pp. 955-960 ◽  
Author(s):  
Davinder Singh ◽  
Depeng Jiang ◽  
Paul Van Caeseele ◽  
Carla Loeppky

ObjectiveThis study examined the effect of the timing of administration of oseltamivir chemoprophylaxis for the control of influenza A H3N2 outbreaks among residents in long-term care facilities (LTCFs) in Manitoba, Canada, during the 2014–2015 influenza season.MethodsA retrospective cohort study was conducted of all LTCF influenza A H3N2 outbreaks (n=94) using a hierarchical logistic regression analysis. The main independent variable was how many days passed between the start of the outbreak and commencement of oseltamivir chemoprophylaxis. The dependent variable was whether each person in the institution developed influenza-like illness (yes or no).ResultsDelay of oseltamivir chemoprophylaxis was associated with increased odds of infection in both univariate (t=5·41; df=51; P<·0001) and multivariable analyses (t=6·04; df=49; P<·0001) with an adjusted odds ratio of 1.3 (95% confidence interval [CI], 1·2–1·5) per day for influenza A H3N2.ConclusionsThe sooner chemoprophylaxis is initiated, the lower the odds of secondary infection with influenza in LTCFs during outbreaks caused by influenza A H3N2 in Manitoba. For every day that passed from the start of the outbreak to the initiation of oseltamivir, the odds of a resident at risk of infection in the facility developing symptomatic infection increased by 33%.


Author(s):  
Kathleen J. Norman ◽  
John P. Hirdes

ABSTRACTFalls in residential long-term care (LTC) facilities continue to be a leading cause of injury for residents and cost for the health care system. Interdisciplinary clinical teams are responsible for assessing risk levels for their residents and developing appropriate care plans and interventions in response. This study compares the predictive accuracy of three separate fall risk assessment tools: the interRAI Falls Clinical Assessment Protocol (CAP), derived from the LTC Facility (LTCF) or Minimum Data Set (MDS) 2.0 assessments; the Scott Fall Risk Screen; and a modified Fall Risk Tool that was implemented as part of a provincial Fall Reduction Strategy in Nova Scotia. To conduct this retrospective cohort study, secondary data were collected from 1,553 LTC residents with interRAI assessments completed between March 1, 2015 and September 29, 2016, across Nova Scotia and New Brunswick. For each resident, data were collected regarding the three fall risk assessments, along with fall incident data for use in sensitivity, specificity, and logistic regression analyses. This study found that although all three tools had limitations with sensitivity or specificity thresholds, the interRAI Falls CAP delivered the highest accuracy with a c-statistic of 0.673, compared with the Scott Fall Risk Screen at 0.529 and the modified Fall Risk Tool at 0.609. When diseases that have been established to be a risk factor for falls were added to the model, the overall accuracy of the interRAI Falls CAP combined with those covariates increased to 0.749. These results suggest that the best practice guidelines for fall risk assessment be revisited, and that the interRAI Falls CAP could potentially be updated to include certain diseases and controls for optimal predictive ability.


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