scholarly journals Deprescribing Blood Pressure Treatment in VA Long-Term Care Residents

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 334-335
Author(s):  
Michelle Odden ◽  
Sei Lee ◽  
Michael Steinman ◽  
Anna Rubinsky ◽  
Bocheng Jing ◽  
...  

Abstract There is growing interest in deprescribing of antihypertensive medications in response to adverse effects, or when a patient’s situation evolves such that the benefits are outweighed by the harms. We conducted a retrospective cohort study to evaluate the incidence and predictors of deprescribing of antihypertensive medication among VA long-term care residents ≥ 65 years admitted between 2006 and 2017. Data were extracted from the VA electronic health record, CMS Minimum Data Set, and Bar Code Medication Administration. Deprescribing was defined as a reduction in the number of antihypertensive medications, sustained for 2 weeks. Potentially triggering events for deprescribing included low blood pressure (<90/60 mmHg), acute renal impairment (creatinine increase of 50%), electrolyte imbalance (potassium below 3.5 mEq/L, sodium decrease by 5 mEq/L), and fall in the past 30 days. Among 22,826 VA nursing home residents on antihypertensive medication, 57% had describing event during their stay (median length of stay = 6 months). Deprescribing events were most common in the first 4 weeks after admission and the last 4 weeks of life. Among potentially triggering events, acute renal impairment was associated with greatest increase in the likelihood of deprescribing over the subsequent 4 weeks: among residents with this event, 32.7% were described compared to 7.3% in those without (risk difference = 25.5%, p<0.001). Falls were associated with the smallest increased risk of deprescribing (risk difference = 2.1%, p<0.001) of the events considered. Deprescribing of antihypertensive medications is common among VA nursing home residents, especially after a potential renal adverse event.

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.


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 ◽  
...  

2016 ◽  
Vol 34 (5) ◽  
pp. 466-469 ◽  
Author(s):  
Deborah A. Morris ◽  
Marissa Galicia-Castillo

Objectives: To describe the CARES program, a model of palliative care for nursing home residents. Design: Descriptive analysis of the Caring About Residents’ Experiences and Symptoms (CARES) Program that provides palliative care services to nursing home residents. Program evaluation: The CARES Program serves as an example of collaborative efforts to meet community needs. To evaluate the program, we document the services provided as well as process outcomes (changes to care plans, hospitalizations, location of death, and hospice utilization) for residents referred. Results: 170 nursing home residents were seen by CARES Program between February 2013 to December 2015, 48% for skilled services, and 52% for long term care. Majority of referrals were for goals of care and concurrent symptom management. Following consultation, 67% of residents had a change in code status. Of residents desiring a palliative course 90% were never hospitalized. Overall, 53% of residents died; and those in long term care dying more often with hospice. Conclusion: The CARES program of palliative consultation addresses the needs of nursing home residents. The model has potential to be reproducible in in other communities.


Sign in / Sign up

Export Citation Format

Share Document