Because an intervention's clinical benefit depends on who receives it, a key to improving the efficiency of lung cancer screening with low-dose computed tomography (LDCT) is to incentivize its use among the current or former smokers who are most likely to benefit from it. Despite its clinical advantages and cost-effectiveness, only 3.9 percent of the eligible population underwent LDCT screening in 2015. Using individual lung cancer mortality risk, we developed a policy simulation model to explore the potential impact of implementing risk-targeted incentive programs, compared to either implementing untargeted incentive programs or doing nothing. We found that compared to the status quo, an untargeted incentive program that increased overall LDCT screening from 3,900 (baseline) to 10,000 per 100,000 eligible people would save 12,300 life-years and accrue a net monetary benefit (NMB) of $771 million over a lifetime horizon. Increasing screening by the same amount but targeting higher-risk people would yield an additional 2,470-6,600 life-years and an additional $210-$560 million NMB, depending on the extent of the risk-targeting. Risk-targeted incentive programs could include provider-level bonuses, health plan premium subsidies, and smoking cessation programs to maximize their impact. As clinical medicine becomes more personalized, targeting and incentivizing higher-risk people will help enhance population health and economic efficiency.
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http://dx.doi.org/10.1377/hlthaff.2018.05148 | DOI Listing |
Bioinformatics
January 2025
School of Artificial Intelligence, Jilin University, Jilin, China.
Motivation: Predicting RNA-binding proteins (RBPs) is central to understanding post-transcriptional regulatory mechanisms. Here, we introduce EnrichRBP, an automated and interpretable computational platform specifically designed for the comprehensive analysis of RBP interactions with RNA.
Results: EnrichRBP is a web service that enables researchers to develop original deep learning and machine learning architectures to explore the complex dynamics of RNA-binding proteins.
J Microbiol Biol Educ
January 2025
Office of Inclusion and Institutional Equity, Towson University, Towson, Maryland, USA.
The Diffusion of Innovations (DOI) model can be used to explore how faculty prioritize learning about and adopting new pedagogical approaches. Here, we use the DOI framework to contextualize biology faculty perceptions of a professional development (PD) program designed to help them create a full semester course-based undergraduate research experience (CURE) class at a large, public comprehensive university. PD sessions included exploring self-reflexive identity while fostering inclusive classroom spaces through understanding and interrupting implicit bias and microaggressions.
View Article and Find Full Text PDFAIMS Public Health
December 2024
Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Context And Purpose: Persons enduring serious mental illness (SMI) and living in supported housing facilities often receive inadequate care, which can negatively impact their health outcomes. To address these challenges, it is crucial to prioritize interventions that promote personal recovery and address the unique needs of this group. When developing effective, equitable, and relevant interventions, it is essential to consider the experiences of persons with an SMI.
View Article and Find Full Text PDFAnn Work Expo Health
January 2025
School of Psychology, University of Galway, University Road, Galway H91 TK33, Ireland.
Introduction: Agricultural workplaces have a high number of incidents and fatalities, with the majority occurring from machinery use. Farmers' behaviour plays a critical role in maintaining safety, as improper or unsafe practices often lead to injuries and fatalities. This review categorises interventions targeting farm machine safety, examining both the behaviour change techniques (BCTs) used and their reported outcomes to understand how the techniques influence safety practices and outcomes on farms.
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