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Developing a decision support tool to predict delayed discharge from hospitals using machine learning.

BMC Health Serv Res

January 2025

Department of Industrial Engineering, Dalhousie University, PO Box 15000, Halifax, B3H 4R2, NS, Canada.

Background: The growing demand for healthcare services challenges patient flow management in health systems. Alternative Level of Care (ALC) patients who no longer need acute care yet face discharge barriers contribute to prolonged stays and hospital overcrowding. Predicting these patients at admission allows for better resource planning, reducing bottlenecks, and improving flow.

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The Arabian Peninsula (AP) has been reported to experience increasing drought in recent decades. With this background, this study evaluates best performing Climate Model Intercomparison Project 6 (CMIP6) Global Climate Models (GCMs) for historical (1985-2014) simulations and future drought projections across the AP until 2100, using the standardized precipitation index (SPI) and standardized precipitation-evapotranspiration index (SPEI). We assess uncertainties from model differences, scenarios, timescales, and methods.

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Riverine flooding is increasing in frequency and intensity, requiring river management agencies to consider new approaches to working with communities on flood mitigation planning. Communication and information sharing between agencies and communities is complex, and mistrust and misinformation arise quickly when communities perceive that they are excluded from planning. Subsequently, riverfront community members create narratives that can be examined as truth regimes-truths created and repeated that indicate how flooding and its causes are understood, represented, and discussed within their communities-to explain why flooding occurs in their area.

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Learning From Pregnant Women Eating 5 Servings or More of Vegetables Daily: Strategies, Behaviors, and Motivators.

J Nutr Educ Behav

January 2025

School of Medicine, University of Queensland, Brisbane, Queensland, Australia; Women's and Newborn Services, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.

Objective: To explore the context, behaviors, strategies, and motivators of pregnant women who consume 5 servings of vegetables daily.

Methods: Positive deviance study involving Australian pregnant women (9 of 529) identified through a validated food frequency questionnaire. Semistructured interviews explored their strategies, behaviors, and motivators.

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As organizations are increasingly turning to voluntary wellness programs to improve employee well-being, the majority of studies in literature have focused on corporate-level benefits of wellness programs, such as productivity. However, there is a scarcity of studies that examine the intrinsic motivators that influence employee participation in such programs. In this study, we use a unique secondary dataset from a voluntary corporate wellness program and propose a novel theoretical framework based on motivational and behavioral theories to examine and understand the participants' behavior.

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