Objective: Emergency management responses to coronavirus disease 2019 (COVID-19) in nursing homes lacked preparation and nuance; moving forward, responses must recognize nursing homes are not generic organizations or services, and individually appreciate each's unique nature, strengths, and limitations. The objective of this study was to describe an approach to stratifying nursing homes according to risk for COVID-19 outbreak.
Methods: Population-based cross-sectional study of all accredited nursing homes in Victoria (n = 766), accommodating 48,824 permanent residents. We examined each home's facility structure, governance history, socio-economic status, proximity to high-risk industry, and proximity and size of local acute public hospital, stratified by location, size, and organizational structure.
Results: Privately owned nursing homes tend to be larger and metropolitan-based, and publicly owned homes regionally based and smaller in size. The details reveal additional nuance, eg, privately owned metropolitan-based medium- to large-sized facilities tended to have more regulatory noncompliance, no board of governance, and fewer Chief Executive Officers with clinical background. In contrast, the smaller, publicly owned, remote facilities perform better on those same metrics.
Conclusions: Nursing homes should not be regarded as generic entities, and there is significant underlying heterogeneity. Stratification of nursing homes according to risk level is a viable approach to informing more nuanced policy direction and resource allocation for emergency management responses.
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http://dx.doi.org/10.1017/dmp.2021.207 | DOI Listing |
Healthcare (Basel)
December 2024
Innovation in Dementia and Aging (IDEA) Lab, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
: Canada's long-term care (LTC) sector is struggling with a significant staffing crisis related to shortages, high-turnover rate, and challenging working conditions. The COVID-19 pandemic exacerbated these issues and emphasized the need for improved mental health support for LTC staff. Understanding and addressing the wellbeing of staff is important for ensuring quality of care and promoting a positive work environment for a healthy workforce.
View Article and Find Full Text PDFBJPsych Open
January 2025
Institute of Health and Care Sciences, and Centre for Person-centred Care (GPCC) Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Background: Understanding the place of death for individuals with mental and behavioural disorders (MBDs) is essential for identifying disparities in healthcare access and outcomes, as well as addressing broader health inequities within this population.
Aims: To examine the place of death among individuals in Sweden with the underlying cause of death reported as a MBD and compare variations between diagnostic groups, as well as explore associations between place of death and individual, sociodemographic and clinical factors.
Method: This population-level analysis used death certificate data (gender, age, underlying cause of death and place of death) recorded between 2013 and 2019 and other national register data.
BMC Geriatr
January 2025
International Observatory on End of Life Care, Lancaster University, Lancaster, UK.
Background: Namaste Care is an intervention designed to improve the quality of life for people with advanced dementia by providing individualised stimulation and personalised activities in a group setting. Current evidence indicates there may be benefits from this intervention, but there is a need to explore the practical realities of its implementation, including potential barriers, enablers, and how it is delivered within the context of nursing care homes.
Objective: To systematically assess the factors involved in implementing Namaste Care for people with advanced dementia in nursing care homes.
Introduction: Long-term care (LTC) residents require extensive assistance with daily activities due to physical and cognitive impairments. Medical treatment for LTC residents, when not aligned with residents' wishes, can cause discomfort without providing substantial benefits. Predictive models can equip providers with tools to guide treatment recommendations that support person-centred medical decision-making.
View Article and Find Full Text PDFJ Am Med Dir Assoc
January 2025
Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Objectives: This study aimed to evaluate the utility of electronic health record (EHR) diagnosis codes for monitoring SARS-CoV-2 infections among nursing home residents.
Design: A retrospective cohort study design was used to analyze data collected from nursing homes operating under the tradename Signature Healthcare between January 2022 and June 2023.
Setting And Participants: Data from 31,136 nursing home residents across 76 facilities in Kentucky, Tennessee, Indiana, Ohio, North Carolina, Georgia, Alabama, and Virginia were included.
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