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Standardization for Data Generation and Collection in the Dairy Industry: Addressing Challenges and Charting a Path Forward.
Animals (Basel)
January 2025
Zinpro Corporation, Eden-Prairie, MN 55344, USA.
Standards for data generation and collection are important for integration and for achieving data-driven actionable insights in dairy farming. Data integration and analysis are critical for advancing the dairy industry, enabling better decision-making, and improving operational efficiencies. This commentary paper discusses the challenges of and proposes pathways for standardizing data generation and collection based on insights from a multidisciplinary group of stakeholders.
View Article and Find Full Text PDFPrescribing Psychostimulants for the Treatment of Stimulant Use Disorder: Navigating the Federal Legal Landscape.
J Addict Med
January 2025
From the Division of General Internal Medicine, San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA (LWS); San Francisco Department of Public Health, San Francisco, CA (POC); Vital Strategies, New York, NY (KB, DC); Network for Public Health Law, Edina, MN (CSD); and New York University Grossman School of Medicine, New York, NY (CSD).
Stimulant use disorder (StUD) is a rapidly growing concern in the United States, with escalating rates of death attributed to amphetamines and cocaine. No medications are currently approved for StUD treatment, leaving clinicians to navigate off-label medication options. Recent studies suggest that controlled prescription psychostimulants such as dextroamphetamine, methylphenidate, and modafinil are associated with reductions in self-reported stimulant use, craving, and depressive symptoms.
View Article and Find Full Text PDFDirected Acyclic Graphs in Decision-Analytic Modeling: Bridging Causal Inference and Effective Model Design in Medical Decision Making.
Med Decis Making
January 2025
Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Our commentary proposes the application of directed acyclic graphs (DAGs) in the design of decision-analytic models, offering researchers a valuable and structured tool to enhance transparency and accuracy by bridging the gap between causal inference and model design in medical decision making.The practical examples in this article showcase the transformative effect DAGs can have on model structure, parameter selection, and the resulting conclusions on effectiveness and cost-effectiveness.This methodological article invites a broader conversation on decision-modeling choices grounded in causal assumptions.
View Article and Find Full Text PDFAdapting a consensus process for survivors of domestic abuse and child maltreatment: a brief report about adopting a trauma-informed approach in multistakeholder workshops.
BMJ Open
January 2025
Alison Gregory Consultancy, Bristol, UK.
Purpose: Among health researchers, there is a growing appreciation of the importance of the involvement of service users and members of the public. This recognition has not only resulted in involvement guidelines and improved research ethics but also an increasing use of consensus processes with service users and members of the public to determine research priorities and questions and to agree outcomes to be measured in intervention studies. There is, however, limited advice about how to safely involve survivors of violence and abuse in consensus-based studies.
View Article and Find Full Text PDFAuthors' Reply: Commentary on "Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line".
J Med Internet Res
January 2025
Crisis Text Line, New York, NY, United States.
We appreciate Reierson's thoughtful commentary on our 2019 paper, which described our experiences, ethical process, judgment calls, and lessons from a 2016-2017 data-sharing pilot between Crisis Text Line and academic researchers. The commentary raises important questions about the ethical conduct of health research in the digital age, particularly regarding informed consent, potential conflicts of interest, and the protection of vulnerable populations. Our article focused specifically on the noncommercial use of Crisis Text Line data for research purposes, so we restrict our reply to points relevant to such usage.
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