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http://dx.doi.org/10.1377/hlthaff.20.2.255 | DOI Listing |
PLoS One
January 2025
Department of Business Economics, Centre of Competence on Ageing, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, Manno, Switzerland.
Background: In recent years, there has been a growing interest in the investigation of very old individuals. However, various challenges arise when collecting data from this age group. Given potential health and cognitive impairments and the difficulty of retrieving accurate self-reported data, involving individuals knowledgeable of the target person as proxy respondents are an invaluable solution.
View Article and Find Full Text PDFJ Autism Dev Disord
January 2025
Institutes for Behavior Resources, Inc, 2104 Maryland Ave., Baltimore, MD, 21218, USA.
We aimed to compare sleep problems in autistic and non-autistic adults with co-occurring depression and anxiety. The primary research question was whether autism status influences sleep quality, after accounting for the effects of depression and anxiety. We hypothesized that autistic adults would report higher levels of depression, anxiety, and sleep problems compared to non-autistic adults, after controlling for these covariates.
View Article and Find Full Text PDFCurr Opin Oncol
January 2025
Gustave Roussy, Villejuif, France.
Purpose Of Review: Although the management of nausea and vomiting induced by cancer treatments has evolved, several questions remain unanswered.
Recent Findings: New antiemetics have been developed these last decades with therapeutic indications to be defined according to the anticancer regimen and partly as a consequence of the assessment of individual patient risk factors. Guidelines still seem to have a low level of knowledge and compliance, with a role for scientific societies in term of dissemination and education.
Health Care Manage Rev
January 2025
Issue: Many hospitals in the United States are facing significant postpandemic operational challenges largely as a result of increasing demand for health care services. Operational issues increase the risk of service failures. Improving the patient experience after service failures may lead to better outcomes for both patients and hospitals.
View Article and Find Full Text PDFBackgrounds: Biomedical research requires sophisticated understanding and reasoning across multiple specializations. While large language models (LLMs) show promise in scientific applications, their capability to safely and accurately support complex biomedical research remains uncertain.
Methods: We present , a novel question-and-answer benchmark for evaluating LLMs in biomedical research.
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