Measuring the effectiveness of online search ads on blood donor recruitment and donation.

Background: Acutely highlighted during the COVID-19 pandemic, the tenuousness of the blood supply continues to be a lynchpin of the most important medical procedures. Online advertisements have become a mainstay in donor recruitment. We set out to determine the effectiveness of online search ads and variations thereof on blood donations with an emphasis on first-time donors.

Advancing Understandings of Blood Donation Motivation and Behavior.

In this review, we provide critical analysis of social science research into blood donation motivation and behavior. We first share an understanding of the existing literature and recommendations for future research collectively developed by members of the Working Group on Blood Donors and the Supply: Diversifying while Maintaining the Donor Pool, Donor Selection, and Optimizing Blood Availability and Safety, as part of the National Heart, Lung, and Blood Institute's 2022 State of the Science in Transfusion Medicine symposium. Then, rather than aim for a comprehensive treatment, we review 4 newer manuscripts that exemplify aspects of the group's recommendations and report results from countries where the blood supply is based on voluntary, nonremunerated donations.

Blood Demand Forecasting and Supply Management: An Analytical Assessment of Key Studies Utilizing Novel Computational Techniques.

Use of data-driven methodologies in enhancing blood transfusion practices is rising, leveraging big data, machine learning, and optimization techniques to improve demand forecasting and supply chain management. This review used a narrative approach to identify, evaluate, and synthesize key studies that considered novel computational techniques for blood demand forecasting and inventory management through a search of PubMed and Web of Sciences databases for studies published from January 01, 2016, to March 30, 2023. The studies were analyzed for their utilization of various techniques, and their strengths, limitations, and areas for improvement.

A call for better validation of opioid overdose risk algorithms.

Clinical decision support (CDS) systems powered by predictive models have the potential to improve the accuracy and efficiency of clinical decision-making. However, without sufficient validation, these systems have the potential to mislead clinicians and harm patients. This is especially true for CDS systems used by opioid prescribers and dispensers, where a flawed prediction can directly harm patients.

Correlates of Housing Sustainability Among Youth Placed Into Permanent Supportive Housing and Rapid Re-Housing: A Survival Analysis.

Purpose: Youth experiencing homelessness (YEH) are vulnerable to multiple adverse health outcomes. Connecting YEH with housing is critical to addressing youth homelessness and to preventing long-term negative health consequences among this vulnerable population. Using administrative data, this study aims to explore correlates of YEH's sustainability in two major housing programs: permanent supportive housing (PSH) and rapid re-housing (RRH) programs.