The purpose of this article is to describe a quality improvement program developed for assisted-living facilities in Washington State and to compare needed training with topics of interest of care providers in these assisted-living facilities. No national educational and training minimum requirements exist for unlicensed personnel charged with caring for older adults in assisted-living facilities. Minimum requirements specified in individual states vary from no training to that required of nursing assistants in skilled nursing facilities. Staff training is needed to ensure quality of care, quality of life, and resident safety.
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http://dx.doi.org/10.1097/00124645-200401000-00007 | DOI Listing |
J Am Med Dir Assoc
January 2025
Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Objectives: Prior studies suggested that urinary incontinence (UI) may be a risk factor for nursing home (NH) placement among older community-dwelling individuals. Our objectives were to evaluate if UI is an independent risk factor in NH placement among assisted living (AL) residents and assess the impact of UI on NH placement by race/ethnicity.
Design: This retrospective cohort study is based on the 2019-2021 Medicare enrollment and claims data.
J Plast Reconstr Aesthet Surg
January 2025
Department of Plastic Surgery, Odense University Hospital, Denmark.
The incidence of keratinocyte carcinoma (KC) is rising globally, significantly burdening healthcare resources. Treatment options include medical treatment, non-invasive procedures, and surgery, each associated with their distinct benefits and risks. With advanced treatment, the procedures become increasingly invasive for the patients and expensive for the society.
View Article and Find Full Text PDFSensors (Basel)
January 2025
University of Zagreb, Faculty of Transport and Traffic Sciences, Vukelićeva 4, 10000 Zagreb, Croatia.
The possibilities of the Ambient Assisted Living (AAL)/Enhanced Living Environments (ELE) concept in the environment of a smart home were investigated to improve accessibility and improve the quality of life of a person with disabilities. This paper focuses on the concept of predictive information for a person with disabilities in a smart home environment concept where artificial intelligence (AI) and machine learning (ML) systems use data on the user's preferences, habits, and possible incident situations. A conceptual mathematical model is proposed, the purpose of which is to provide predictive user information from defined data sets.
View Article and Find Full Text PDFJ Am Med Dir Assoc
January 2025
ICES, Toronto, Ontario, Canada; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Medicine, McMaster University, Hamilton, Ontario, Canada; Schlegel Research Institute for Aging, Waterloo, Ontario, Canada; Centre for Integrated Care, St. Joseph's Health System, Hamilton, Ontario, Canada.
Objectives: To examine transitions to a nursing home among residents of assisted living relative to community-dwelling home care recipients.
Design: Population-based retrospective cohort study emulating a target trial.
Setting And Participants: Linked, individual-level health system data were obtained from older adults (aged ≥65 years) who made an incident application for a bed in a nursing home in Ontario, Canada, between April 1, 2014, and March 31, 2019, and were followed until December 31, 2019.
J Med Internet Res
December 2024
Presage, Paris, France.
Background: The proportion of very old adults in the population is increasing, representing a significant challenge. Due to their vulnerability, there is a higher frequency of unplanned hospitalizations in this population, leading to adverse events. Digital tools based on artificial intelligence (AI) can help to identify early signs of vulnerability and unfavorable health events and can contribute to earlier and optimized management.
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