This study analyzes existing data describing general facility characteristics, the presence of an ombudsman in the facility, and the number of deficiencies/violations reported for long-term care facilities in the state of Missouri. The model that predicted the rate of deficiencies/violations best was one that included the following characteristics: "contained more than 50 beds" and "considered a Skilled Nursing facility." Findings suggest that the characteristics that are significantly associated with fewer deficiencies are larger size (more than 50 beds) and being classified as Skilled Nursing. While those facilities that housed an ombudsman were found to have fewer deficiencies per bed in the general analysis, further investigation found this to be an artifact mostly due to the higher rate of ombudsmen at larger facilities.
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http://dx.doi.org/10.1080/08946566.2011.584051 | DOI Listing |
J Environ Radioact
December 2024
Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518063, China. Electronic address:
Gamma-ray coded-aperture imaging technology has important applications in the fields of nuclear security, isolated source detection, and the decommissioning of nuclear facilities. However, artifacts can reduce the quality of reconstructed images and affect the identification of the intensity and location of radioactive sources. In this paper, a gamma-ray coded-aperture imaging method based on primitive and reversed coded functions (PRCF) was proposed to reduce imaging artifacts.
View Article and Find Full Text PDFJAMA Netw Open
December 2024
Department of Health Policy and Management, Bloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Importance: The number of older adults in long-term correctional facilities (prisons) has increased rapidly in recent years. The cognitive and functional status of this population is not well understood due to limitations in the availability of longitudinal data.
Objective: To comparatively examine the prevalence and disability status of the population of adults 55 years and older in prisons and adults living in community settings for a 14-year period (2008-2022).
Nurs Rep
December 2024
Department of Translational Medicine, University of Piemonte Orientale, Via P. Solaroli, 17, 28100 Novara, Italy.
Background: The Fundamentals of Care framework emphasizes a patient-centered approach that prioritizes the nurse-patient relationship and care environment to meet patients' basic needs, including oral hygiene. Recognized as crucial for preventing systemic health problems, oral care neglect is a global concern. Studies identify missed oral care as a widespread issue, contributing to significant patient safety risks.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
Center for Genomics and Precision Medicine, Institute of Bioscience and Technology, Texas A&M Health Science Center, Houston, TX 77030, USA.
Our group has synthesized a pleiotropic synthetic nanozyme redox mediator we term a "pleozyme" that displays multiple enzymatic characteristics, including acting as a superoxide dismutase mimetic, oxidizing NADH to NAD, and oxidizing HS to polysulfides and thiosulfate. Benefits have been seen in acute and chronic neurological disease models. The molecule is sourced from coconut-derived activated charcoal that has undergone harsh oxidization with fuming nitric acid, which alters the structure and chemical characteristics, yielding 3-8 nm discs with broad redox potential.
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Mathematics, Universität Innsbruck, Technikerstraße 13, A-6020 Innsbruck, Austria.
Medical image processing has been highlighted as an area where deep-learning-based models have the greatest potential. However, in the medical field, in particular, problems of data availability and privacy are hampering research progress and, thus, rapid implementation in clinical routine. The generation of synthetic data not only ensures privacy but also allows the drawing of new patients with specific characteristics, enabling the development of data-driven models on a much larger scale.
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