scholarly journals Trends in Prescribing of Antibiotics and Drugs Investigated for Coronavirus Disease 2019 (COVID-19) Treatment in US Nursing Home Residents During the COVID-19 Pandemic

Author(s):  
Katryna A Gouin ◽  
Stephen Creasy ◽  
Mary Beckerson ◽  
Martha Wdowicki ◽  
Lauri A Hicks ◽  
...  

Abstract Background Trends in prescribing for nursing home (NH) residents, which may have been influenced by the coronavirus disease 2019 (COVID-19) pandemic, have not been characterized. Methods Long-term care pharmacy data from 1944 US NHs were used to evaluate trends in prescribing of antibiotics and drugs that were investigated for COVID-19 treatment, including hydroxychloroquine, famotidine, and dexamethasone. To account for seasonal variability in antibiotic prescribing and decreased NH occupancy during the pandemic, monthly prevalence of residents with a prescription dispensed per 1000 residents serviced was calculated from January to October and compared as relative percent change from 2019 to 2020. Results In April 2020, prescribing was significantly higher in NHs for drugs investigated for COVID-19 treatment than 2019; including hydroxychloroquine (+563%, 95% confidence interval [CI]: 5.87, 7.48) and azithromycin (+150%, 95% CI: 2.37, 2.63). Ceftriaxone prescribing also increased (+43%, 95% CI: 1.34, 1.54). Prescribing of dexamethasone was 36% lower in April (95% CI: .55, .73) and 303% higher in July (95% CI: 3.66, 4.45). Although azithromycin and ceftriaxone prescribing increased, total antibiotic prescribing among residents was lower from May (−5%, 95% CI: .94, .97) through October (−4%, 95% CI: .94, .97) in 2020 compared to 2019. Conclusions During the pandemic, large numbers of residents were prescribed drugs investigated for COVID-19 treatment, and an increase in prescribing of antibiotics commonly used for respiratory infections was observed. Prescribing of these drugs may increase the risk of adverse events, without providing clear benefits. Surveillance of NH prescribing practices is critical to evaluate concordance with guideline-recommended therapy and improve resident safety.

2021 ◽  
pp. 073346482110182
Author(s):  
Sainfer Aliyu ◽  
Jasmine L. Travers ◽  
S. Layla Heimlich ◽  
Joanne Ifill ◽  
Arlene Smaldone

Effects of antibiotic stewardship program (ASP) interventions to optimize antibiotic use for infections in nursing home (NH) residents remain unclear. The aim of this systematic review and meta-analysis was to assess ASPs in NHs and their effects on antibiotic use, multi-drug-resistant organisms, antibiotic prescribing practices, and resident mortality. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a systematic review and meta-analysis using five databases (1988–2020). Nineteen articles were included, 10 met the criteria for quantitative synthesis. Inappropriate antibiotic use decreased following ASP intervention in eight studies with a pooled decrease of 13.8% (95% confidence interval [CI]: [4.7, 23.0]; Cochran’s Q = 166,837.8, p < .001, I2 = 99.9%) across studies. Decrease in inappropriate antibiotic use was highest in studies that examined antibiotic use for urinary tract infection (UTI). Education and antibiotic stewardship algorithms for UTI were the most effective interventions. Evidence surrounding ASPs in NH is weak, with recommendations suited for UTIs.


2021 ◽  
Author(s):  
Laura Soldevila ◽  
Núria Prat ◽  
Miquel À. Mas ◽  
Mireia Massot ◽  
Ramon Miralles ◽  
...  

Abstract Background: Covid-19 pandemic has particularly affected older people living in Long-term Care settings. Methods: We carried out a cross-sectional analysis of a cohort of Long-term care nursing home residents between March first and June thirty, 2020, who were ≥ 65 years old and on whom at last one PCR test was performed. Socio-demographic, comorbidities, and clinical data were recorded. Facility size and community incidence of SARS-CoV-2 were also considered.Results: A total of 8021 participants were included from 168 facilities. Mean age was 86.4 years (SD = 7.4). Women represented 74.1%. SARS-CoV-2 infection was detected in 27.7% of participants, and the overall case fatality rate was 11.3% (24.9% among those with a positive PCR test). Epidemiological factors related to risk of infection were larger facility size (pooled aOR 1.73; P < .001), higher community incidence (pooled aOR 1.67, P = .04), leading to a higher risk than the clinical factor of low level of functional dependence (aOR 1.22, P = 0.03). Epidemiological risk factors associated with mortality were male gender (aOR 1.75; P < .001), age (pooled aOR 1.16; P < .001), and higher community incidence (pooled aOR 1.19, P = < .001). There was evidence of clustering for facility and health area when considering the risk of infection and mortality (P < .001). Conclusions: Our results suggest a complex interplay between structural and individual factors regarding Covid-19 infection and its impact on mortality in nursing-home residents.


2020 ◽  
Vol 23 (2-3) ◽  
pp. 57-60 ◽  
Author(s):  
Edward H Wagner

Residents in nursing homes and other long-term care facilities comprise a large percentage of the deaths from Covid 19. Is this inevitable or are there problems with NHs and their care that increase the susceptibility of their residents. The first U.S. cluster of cases involved the residents, staff, and visitors of a Seattle-area nursing home. Study of this cluster suggested that infected staff members were transmitting the disease to residents. The quality of nursing home care has long been a concern and attributed to chronic underfunding and resulting understaffing. Most NH care is delivered by minimally trained nursing assistants whose low pay and limited benefits compel them to work in multiple long-term care settings, increasing their risk of infection, and work while ill. More comparative studies of highly infected long-term care facilities with those organizations that were able to better protect their residents are urgently needed. Early evidence suggests that understaffing of registered nurses may increase the risk of larger outbreaks.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S709-S709
Author(s):  
Hemalkumar B Mehta ◽  
Yong-Fang Kuo ◽  
Jordan Westra ◽  
Mukaila Raji ◽  
James S Goodwin

Abstract We examined opioid use in long-term care nursing home residents with dementia. This retrospective cohort study used Minimum Data Set linked Medicare data, 2011-2016, and included long-term care episodes for residents 65+ years who survived 100+ days each year (592,211 episodes for 256,207 residents). Cognitive status at first annual assessment was classified as none/mild, moderate and severe impairment. Overall opioid use, prolonged opioid use (prescription supply 90+ days) and long-acting opioid use were identified from Medicare part D. Descriptive statistics were used to describe opioid use by cognitive impairment. Cochrane Armitage trends test was used to determine trends in opioid use. 114,622 (19%) patients had severe and 129,257 (22%) had moderate dementia. Overall opioid (none/mild=15.4%, moderate=13.9%, severe=9%), prolonged opioid (none/mild=5.2%, moderate=4.5%, severe=3.2%) and long-acting opioid use (none/mild=1.1%, moderate=0.9%, severe=0.3% ) were lower in patients with advanced dementia. Opioid use was significantly higher in females and Whites and varied by states. Substantial increase was found in overall opioid and prolonged opioid use from 2011 to 2016, with greater increase in none/mild and moderate dementia patients. For example, prolonged opioid use increased by 69% in none/mild and 71% in moderate dementia patients compared to 52% in severe dementia patients (p&lt;0.0001). Long-acting opioid use decreased, with a greater decline in none/mild (69%) and moderate (71%) dementia patients compared to severe dementia patients (58%) (p&lt;0.0001). Contrary to decreasing opioid use in community setting, overall and prolonged opioid use increased in nursing home residents. Future studies should identify the reasons behind increased use.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Katrin C. Reber ◽  
Ivonne Lindlbauer ◽  
Claudia Schulz ◽  
Kilian Rapp ◽  
Hans-Helmut König

Abstract Background A growing number of older people are care dependent and live in nursing homes, which accounts for the majority of long-term-care spending. Specific medical conditions and resident characteristics may serve as risk factors predicting negative health outcomes. We investigated the association between the risk of increasing care need and chronic medical conditions among nursing home residents, allowing for the competing risk of mortality. Methods In this retrospective longitudinal study based on health insurance claims data, we investigated 20,485 older adults (≥65 years) admitted to German nursing homes between April 2007 and March 2014 with care need level 1 or 2 (according to the three level classification of the German long-term care insurance). This classification is based on required daily time needed for assistance. The outcome was care level change. Medical conditions were determined according to 31 Charlson and Elixhauser conditions. Competing risks analyses were applied to identify chronic medical conditions associated with risk of care level change and mortality. Results The probability for care level change and mortality acted in opposite directions. Dementia was associated with increased probability of care level change compared to other conditions. Patients who had cancer, myocardial infarction, congestive heart failure, cardiac arrhythmias, renal failure, chronic pulmonary disease, weight loss, or recent hospitalization were more likely to die, as well as residents with paralysis and obesity when admitted with care level 2. Conclusion This paper identified risk groups of nursing home residents which are particularly prone to increasing care need or mortality. This enables focusing on these risk group to offer prevention or special treatment. Moreover, residents seemed to follow specific trajectories depending on their medical conditions. Some were more prone to increased care need while others had a high risk of mortality instead. Several conditions were neither related to increased care need nor mortality, e.g., valvular, cerebrovascular or liver disease, peripheral vascular disorder, blood loss anemia, depression, drug abuse and psychosis. Knowledge of functional status trajectories of residents over time after nursing home admission can help decision-makers when planning and preparing future care provision strategies (e.g., planning of staffing, physical equipment and financial resources).


2019 ◽  
Vol 15 ◽  
pp. P1571-P1571
Author(s):  
Hemalkumar B. Mehta ◽  
Yong-Fang Kuo ◽  
Jordan Westra ◽  
James S. Goodwin ◽  
Mukaila Raji

2020 ◽  
Vol 20 (4) ◽  
pp. 419-426
Author(s):  
Akito Tsugawa ◽  
Soichiro Shimizu ◽  
Daisuke Hirose ◽  
Tomohiko Sato ◽  
Hirokuni Hatanaka ◽  
...  

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