In this article, the authors introduce mutual insurance as a constructive component of the modern entrepreneurial landscape aimed at the protection of the wealth-related interests of the participants of the mutual insurance company (mutual insurance society, friendly society, etc.). Analyzing mutual insurance, the authors display it from the standpoint of entrepreneurship and assume that such companies (MICs) are among the insurance market actors. The specific feature of MICs is that they form the community of their members-policyholders. As far as members of each organization of this kind are its co-owners, they carry out some critical entrepreneurial activity functions. The object of this research is represented by the insurance market of the Russian Federation, through the prism of which the degree of development of MICs was demonstrated, and the barriers to its infrastructure growth were determined.
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http://dx.doi.org/10.1186/s13731-022-00223-6 | DOI Listing |
Background: The aim of the present study was to investigate the willingness of elderly individuals regarding their choice of elderly care modes in underdeveloped regions of Western China and to identify the key factors influencing the willingness.
Methods: We distributed a total of 20 000 questionnaires using the multistage stratified cluster random sampling method, and successfully collected 19 460 of them. After conducting quality checks, we deemed 19 040 questionnaires valid for analysis.
Obes Res Clin Pract
January 2025
Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea. Electronic address:
Objective: To explore the effects of semaglutide versus placebo on body weight (BW) by subgroups of baseline characteristics.
Methods: In STEP 6, Japanese and Korean adults with overweight or obesity were randomized to subcutaneous semaglutide 2.4 mg, semaglutide 1.
Plast Reconstr Surg Glob Open
January 2025
Department of Computer Science, Johns Hopkins University, Baltimore, MD.
Artificial intelligence (AI) scribe applications in the healthcare community are in the early adoption phase and offer unprecedented efficiency for medical documentation. They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. They use automatic speech recognition on the physician-patient interaction, generating a full medical note for the encounter, together with a draft follow-up e-mail for the patient and, often, recommendations, all within seconds or minutes.
View Article and Find Full Text PDFBMC Emerg Med
January 2025
Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Background: Globally, healthcare institutions have seen a marked rise in workplace violence (WPV), especially since the Covid-19 pandemic began, affecting primarily acute care and emergency departments (EDs). At the University Health Network (UHN) in Toronto, Canada, WPV incidents in EDs jumped 169% from 0.43 to 1.
View Article and Find Full Text PDFMed Care
February 2025
RAND, Health Care, Santa Monica, CA.
Background: Medicare Bayesian Improved Surname and Geocoding (MBISG), which augments an imperfect race-and-ethnicity administrative variable to estimate probabilities that people would self-identify as being in each of 6 mutually exclusive racial-and-ethnic groups, performs very well for Asian American and Native Hawaiian/Pacific Islander (AA&NHPI), Black, Hispanic, and White race-and-ethnicity, somewhat less well for American Indian/Alaska Native (AI/AN), and much less well for Multiracial race-and-ethnicity.
Objectives: To assess whether temporal inconsistency of self-reported race-and-ethnicity might limit improvements in approaches like MBISG.
Methods: Using the Medicare Health Outcomes Survey (HOS) baseline (2013-2018) and 2-year follow-up data (2015-2020), we evaluate the consistency of self-reported race-and-ethnicity coded 2 ways: the 6 mutually exclusive MBISG categories and individual endorsements of each racial-and-ethnic group.
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