scholarly journals Mortality in Nursing Home Evacuations in the United States from 1995-2017

2019 ◽  
Vol 34 (s1) ◽  
pp. s2-s2
Author(s):  
Sharon Mace ◽  
Daniel Caicedo ◽  
Aishwarya Sharma
Keyword(s):  
United States ◽  
Nursing Home ◽  
Nursing Homes ◽  
Natural Disasters ◽  
Nursing Home Residents ◽  
The United States ◽  
Loss Of Life ◽  
External Events ◽  
Analyze Data

Introduction:There are an estimated 15,600 nursing homes with a total of 1.4 million residents in the United States. The number of residents will continue to increase due to the aging population, and the associated morbidities will make it difficult to evacuate them safely.Aim:This study is the first of its kind to provide an analysis of the number of nursing home deaths caused by external and internal events following evacuations.Methods:Information from the databases Lexis Nexis and PubMed were compiled and limited to news articles from 1995-2017. The gathered information included the reason for evacuation, injuries, deaths, and locations within the United States.Results:From 1995 to 2017, there was a total of 51 evacuations and 141 deaths in nursing homes. 27 (53%) evacuations were due to external events which resulted in a combined 121 (86%) deaths, and 24 (47%) evacuations were due to internal events which resulted in a combined 20 (14%) deaths. Hurricanes were responsible for the majority of deaths during evacuations, followed by fires and floods. The number of evacuations and deaths increased the greatest between 2005 to 2008.Discussion:External events have the greatest impact on loss of life. Internal disasters are about equal in the number of incidents, however, external events have a much greater mortality rate. Exact numbers on injuries, morbidity, and mortality are difficult to ascertain, but it appears to be related to natural disasters. In view of the increasing likelihood of natural disasters related to global warming, a drastic improvement of standard evacuation procedures of long-term nursing homes is critical to decreasing mortality of nursing home residents. There also needs to be a nationally standardized method of reporting evacuations in order to better analyze data on nursing homes.

Nursing home evacuations due to disasters in the United States over 22.5 years from 1995 to 2017

2021 ◽  
Vol 16 (2) ◽  
pp. 105-121
Author(s):  
Aishwarya Sharma, DO ◽  
Sharon E. Mace, MD, FACEP, FAAP
Keyword(s):  
United States ◽  
New York ◽  
Nursing Home ◽  
Nursing Homes ◽  
Natural Disasters ◽  
Nursing Home Residents ◽  
The United States ◽  
Total N ◽  
Nursing Home Administrators ◽  
Ice Storms

A large and growing segment of the United States population resides in nursing homes. Many nursing home residents have multiple comorbidities, are unable to perform activities of daily living, and need assistance for their daily functioning. They are some of the most fragile and vulnerable members of the population. Disasters are increasing in frequency and severity. This makes it likely that disasters will strike nursing homes and affect their residents. The purpose of this study was to evaluate the characteristics of disasters in the United States that resulted in nursing home evacuations. There were 51 reported nursing home evacuations due to a disaster over 22.5 years between 1995 and 2017. Natural disasters were responsible for the majority of evacuations (58.8 percent) followed by man-made unintentional disasters (37.3 percent) and man-made intentional (arson) (3.9 percent). The single most common reason for evacuation was hurricanes (23.5 percent, N = 12) and internal fires (23.5 percent, N = 12). Water-related disasters accounted for nearly three-fourths of the natural disasters (hurricanes 40 percent, N = 12; floods, 33.3 percent, N = 10; total 73.3 percent, N = 22), then snow/ice storms (13.3 percent, N = 4). Of man-made disasters, over two-thirds (66.7 percent) were due to internal fires (internal fires, n = 12, 57.1 percent and arson n = 2, 9.5 percent; total N = 14, 66.7 percent). The highest number of evacuations occurred in Texas, Louisiana, Missouri, New York, and Pennsylvania. This knowledge should enable nursing home administrators, disaster planners, public health officials, and others to improve preparedness for disasters that lead to nursing home evacuations.

Tuberculosis in Long-Term Care Facilities

1990 ◽  
Vol 11 (1) ◽  
pp. 42-46 ◽  
Author(s):  
David W. Bentley
Keyword(s):  
United States ◽  
Nursing Home ◽  
Nursing Homes ◽  
Age Groups ◽  
Nursing Home Residents ◽  
The United States ◽  
High Risk Group ◽  
Elderly Persons ◽  
Tuberculosis Case ◽  
Term Care

Persons age 65 and over constitute the largest reservoir of Mycobacterium tuberculosis infection in the United States today. During 1987, 6,150 tuberculosis cases were reported among this high-risk group. These cases represent 27% of the total US tuberculosis morbidity, although this age group constitutes only 12% of the US population. Tuberculosis case rates in the United States are higher among the elderly (20.6 per 100,000) than among all other age groups (average 9.3 per 100,000).More Americans live in nursing homes than in any other type of residential institution; on any given day approximately 5% of all elderly persons are living in a nursing home. Elderly nursing home residents are at greater risk for tuberculosis than elderly persons living in the community. In a Centers for Disease Control (CDC)-sponsored survey of 15,379 routinely-reported tuberculosis cases from 29 states, 8% of the 4,919 cases that occurred among elderly persons occurred among residents of nursing homes. The incidence of tuberculosis among nursing home residents was 39.2 per 100,000 person years, whereas the incidence of tuberculosis among elderly persons living in the community was 21.5 per 100,000. The observed rate of tuberculosis among nursing home employees was three times the rate expected in employed adults of similar age, race and sex (CDC, unpublished data).

scholarly journals Navigating Long-Term Care

2017 ◽  
Vol 3 ◽  
pp. 233372141770036
Author(s):  
James D. Holt
Keyword(s):  
United States ◽  
Nursing Home ◽  
Long Term Care ◽  
Care Home ◽  
Nursing Home Residents ◽  
The United States ◽  
Transitions Of Care ◽  
Term Care ◽  
Levels Of Care

Americans over age 65 constitute a larger percentage of the population each year: from 14% in 2010 (40 million elderly) to possibly 20% in 2030 (70 million elderly). In 2015, an estimated 66 million people provided care to the ill, disabled, and elderly in the United States. In 2000, according to the Centers for Disease Control and Prevention (CDC), 15 million Americans used some form of long-term care: adult day care, home health, nursing home, or hospice. In all, 13% of people over 85 years old, compared with 1% of those ages 65 to 74, live in nursing homes in the United States. Transitions of care, among these various levels of care, are common: Nursing home to hospital transfer, one of the best-studied transitions, occurs in more than 25% of nursing home residents per year. This article follows one patient through several levels of care.

scholarly journals Covid-19 Swept Nursing Homes in the United States

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 939-939
Author(s):  
Lei Yu
Keyword(s):  
United States ◽  
Nursing Home ◽  
Nursing Homes ◽  
Nursing Home Residents ◽  
The United States ◽  
Demographic Information ◽  
Nursing Home Administrators ◽  
Final Data ◽  
The Relationship ◽  
Demographic Features

Abstract Nursing Homes experienced a colossal loss impacted by the Covid-19 pandemic in the United States. This study applied Covid-19 Nursing Home Dataset (updated on 08/16/2020) released by Data.CMS.gov to explore possible factors behind the death s at nursing homes. The results indicated 2.55 residents died per week at a nursing home averagely. Besides, the absence of nursing staff, aides, clinical physicians, PPE supplies contributes to more deaths at nursing homes. Lastly, the number of positive COVID-19 cases of nursing home staff positively associate with the number of total deaths of residents（R=0.65). These findings provide more pieces of evidence for nursing home administrators and policymakers to make adjustments to help nursing home residents better cope with challenges caused by the pandemic; however, this dataset is not the final data for the pandmic is not over. Also, the dataset covers few demographic information (gender, race, ethinicty and so on) ; therefore, researchers could explore the relationship between the demographic features and COVID-19 deaths at nursing homes.

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 Impact of morbidity on care need increase and mortality in nursing homes: a retrospective longitudinal study using administrative claims data

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Katrin C. Reber ◽  
Ivonne Lindlbauer ◽  
Claudia Schulz ◽  
Kilian Rapp ◽  
Hans-Helmut König
Keyword(s):  
Nursing Home ◽  
Nursing Homes ◽  
Claims Data ◽  
Nursing Home Residents ◽  
Medical Conditions ◽  
Term Care ◽  
Care Level ◽  
Level Change ◽  
Risk Of Mortality

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).

Prevalence and Predictors of Antidepressant Prescribing in Nursing Home Residents in the United States

2011 ◽  
Vol 9 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Swapna U. Karkare ◽  
Sandipan Bhattacharjee ◽  
Pravin Kamble ◽  
Rajender Aparasu
Keyword(s):  
United States ◽  
Nursing Home ◽  
Nursing Home Residents ◽  
The United States
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