Deprescribing to Resolve Oversedation and Confusion in an Older Person Treated for Auditory Hallucinations and Poststroke Seizure Prophylaxis

2021 ◽  
Vol 36 (12) ◽  
pp. 645-651
Author(s):  
Mark Branum
Keyword(s):  
Skilled Nursing Facility ◽  
Care Facility ◽  
Pharmacological Therapy ◽  
Auditory Hallucinations ◽  
Geriatric Syndrome ◽  
Term Care ◽  
Skilled Nursing ◽  
Long Term Care Facility ◽  
Seizure Prophylaxis ◽  
The Individual

This case study reviews the pharmacotherapy of a resident in a long-term care facility being treated for poststroke seizure, hallucinations, and dementia, a geriatric syndrome that is both common in regard to its prevalence and severe in regard to its impact on the individual, families, caregivers, and health care system. This case describes the past medical history of an older resident in a skilled nursing facility that was receiving pharmacological therapy for auditory hallucinations and for poststroke seizure prophylaxis, was noted to be having side effects from drug therapy, and how the nursing staff communicated with the consultant pharmacist to resolve these issues.

scholarly journals 178. Implementation of the Core Elements of Antibiotic Stewardship in Nursing Homes – National Healthcare Safety Network (NHSN), 2016–2018

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S96-S96
Author(s):  
Katryna A Gouin ◽  
Sarah Kabbani; Angela Anttila ◽  
Josephine Mak ◽  
Elisabeth Mungai ◽  
Ti Tanissha McCray ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Antibiotic Stewardship ◽  
Care Facility ◽  
Antibiotic Use ◽  
Infection Prevention And Control ◽  
Term Care ◽  
Long Term Care Facility ◽  
The Core ◽  
Use Of Resources ◽  
Core Elements

Abstract Background Since 2016, nursing homes (NHs) enrolled in the Centers for Disease Control and Prevention’s NHSN Long-term Care Facility (LTCF) Component have reported on their implementation of the core elements of antibiotic stewardship. In 2016, 42% of NHs reported implementing all seven core elements. Recent regulations require antibiotic stewardship programs in NHs. The objectives of this analysis were to track national progress in implementation of the core elements and evaluate how time dedicated to infection prevention and control (IPC) is associated with the implementation of the core elements. Methods We used the NHSN LTCF 2016–2018 Annual Surveys to assess NH characteristics and implementation of the core elements, defined as self-reported implementation of at least one corresponding stewardship activity. We reported absolute differences in percent implementation. We used log-binomial regression models to estimate the association between weekly IPC hours and the implementation of all seven core elements, while controlling for confounding by facility characteristics. Results We included 7,506 surveys from 2016–2018. In 2018, 71% of NHs reported implementation of all seven core elements, a 28% increase from 2016 (Fig. 1). The greatest increases in implementation from 2016–2018 were in Education (+19%), Reporting (+18%) and Drug Expertise (+15%) (Fig. 2). Ninety-eight percent of NHs had an individual responsible for antibiotic stewardship activities (Accountability), with 30% indicating that the role was fulfilled by an infection preventionist. Furthermore, 71% of NHs reported pharmacist involvement in improving antibiotic use, an increase of 27% since 2016. NHs that reported at least 20 hours of IPC activity per week were 14% more likely to implement all seven core elements, when controlling for facility ownership and affiliation, 95% CI: (1.07, 1.20). Conclusion NHs reported substantial progress in antibiotic stewardship implementation from 2016–2018. Improvements in accessing drug expertise, providing education and reporting antibiotic use may reflect increased stewardship awareness and use of resources among NH providers under new regulatory requirements. NHs with at least 20 hours dedicated to IPC per week may have greater capacity to implement all core elements. Disclosures All Authors: No reported disclosures

scholarly journals Risk factors for COVID-19 diagnosis, hospitalization, and subsequent all-cause mortality in Sweden: a nationwide study

2021 ◽  
Vol 36 (3) ◽  
pp. 287-298
Author(s):  
Jonathan Bergman ◽  
Marcel Ballin ◽  
Anna Nordström ◽  
Peter Nordström
Keyword(s):  
Risk Factors ◽  
Down Syndrome ◽  
Long Term Care ◽  
Care Facility ◽  
Prescription Medication ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
All Cause Mortality

AbstractWe conducted a nationwide, registry-based study to investigate the importance of 34 potential risk factors for coronavirus disease 2019 (COVID-19) diagnosis, hospitalization (with or without intensive care unit [ICU] admission), and subsequent all-cause mortality. The study population comprised all COVID-19 cases confirmed in Sweden by mid-September 2020 (68,575 non-hospitalized, 2494 ICU hospitalized, and 13,589 non-ICU hospitalized) and 434,081 randomly sampled general-population controls. Older age was the strongest risk factor for hospitalization, although the odds of ICU hospitalization decreased after 60–69 years and, after controlling for other risk factors, the odds of non-ICU hospitalization showed no trend after 40–49 years. Residence in a long-term care facility was associated with non-ICU hospitalization. Male sex and the presence of at least one investigated comorbidity or prescription medication were associated with both ICU and non-ICU hospitalization. Three comorbidities associated with both ICU and non-ICU hospitalization were asthma, hypertension, and Down syndrome. History of cancer was not associated with COVID-19 hospitalization, but cancer in the past year was associated with non-ICU hospitalization, after controlling for other risk factors. Cardiovascular disease was weakly associated with non-ICU hospitalization for COVID-19, but not with ICU hospitalization, after adjustment for other risk factors. Excess mortality was observed in both hospitalized and non-hospitalized COVID-19 cases. These results confirm that severe COVID-19 is related to age, sex, and comorbidity in general. The study provides new evidence that hypertension, asthma, Down syndrome, and residence in a long-term care facility are associated with severe COVID-19.

scholarly journals COVID-19: first long-term care facility outbreak in the Netherlands following cross-border introduction from Germany, March 2020

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mitch van Hensbergen ◽  
Casper D. J. den Heijer ◽  
Petra Wolffs ◽  
Volker Hackert ◽  
Henriëtte L. G. ter Waarbeek ◽  
...  
Keyword(s):  
The Netherlands ◽  
Long Term Care ◽  
Care Facility ◽  
Control Measures ◽  
Border Region ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
Cross Border

Abstract Background The Dutch province of Limburg borders the German district of Heinsberg, which had a large cluster of COVID-19 cases linked to local carnival activities before any cases were reported in the Netherlands. However, Heinsberg was not included as an area reporting local or community transmission per the national case definition at the time. In early March, two residents from a long-term care facility (LTCF) in Sittard, a Dutch town located in close vicinity to the district of Heinsberg, tested positive for COVID-19. In this study we aimed to determine whether cross-border introduction of the virus took place by analysing the LTCF outbreak in Sittard, both epidemiologically and microbiologically. Methods Surveys and semi-structured oral interviews were conducted with all present LTCF residents by health care workers during regular points of care for information on new or unusual signs and symptoms of disease. Both throat and nasopharyngeal swabs were taken from residents suspect of COVID-19, based on regional criteria, for the detection of SARS-CoV-2 by Real-time Polymerase Chain Reaction. Additionally, whole genome sequencing was performed using a SARS-CoV-2 specific amplicon-based Nanopore sequencing approach. Moreover, twelve random residents were sampled for possible asymptomatic infections. Results Out of 99 residents, 46 got tested for COVID-19. Out of the 46 tested residents, nineteen (41%) tested positive for COVID-19, including 3 asymptomatic residents. CT-values for asymptomatic residents seemed higher compared to symptomatic residents. Eleven samples were sequenced, along with three random samples from COVID-19 patients hospitalized in the regional hospital at the time of the LTCF outbreak. All samples were linked to COVID-19 cases from the cross-border region of Heinsberg, Germany. Conclusions Sequencing combined with epidemiological data was able to virtually prove cross-border transmission at the start of the Dutch COVID-19 epidemic. Our results highlight the need for cross-border collaboration and adjustment of national policy to emerging region-specific needs along borders in order to establish coordinated implementation of infection control measures to limit the spread of COVID-19.

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