Effectiveness of Machine Learning Based Adjustments to an eHealth Intervention Targeting Mild Alcohol Use.

This study aimed to evaluate effects of three machine learning based adjustments made to an eHealth intervention for mild alcohol use disorder, regarding a) early dropout, b) participation duration, and c) success in reaching personal alcohol use goals. Additionally, we aimed to replicate earlier machine learning analyses. We used three cohorts of observational log data from the Jellinek Digital Self-help intervention.

Association of Iliofemoral Calcium Score and Major Vascular Complications within the First Year after Lower Limb Endovascular Revascularization.

Background: The accumulation of calcium load in peripheral lower extremity arteries has been associated with increased severity of peripheral artery disease (PAD) and mortality. While calcium scores are commonly calculated from non-contrast computed tomography (CT) scans, patients with PAD often undergo contrast-enhanced CT scans. This study aims to explore the association between a length-adjusted calcium score (LACS) of the iliofemoral arteries, determined through pre-intervention contrast-enhanced CT, and major adverse events in patients with chronic limb-threatening ischemia (CLTI).

Digital tools to support informed decision making among screening invitees in a vulnerable position for population-based cancer screening: A scoping review.

Background: Individuals in a vulnerable position are generally less inclined to participate in population-based cancer screening. Digital tools, such as educational videos, narratives or decision aids, show promise in reaching and informing these invitees by tailoring information needs based on their preferences. This review aims to provide an overview of design features and reported outcomes of digital tools intended to support informed decision making among screening invitees in a vulnerable position.

Replication studies in the Netherlands: Lessons learned and recommendations for funders, publishers and editors, and universities.

Drawing on our experiences conducting replications we describe the lessons we learned about replication studies and formulate recommendations for researchers, policy makers, and funders about the role of replication in science and how it should be supported and funded. We first identify a variety of benefits of doing replication studies. Next, we argue that it is often necessary to improve aspects of the original study, even if that means deviating from the original protocol.

The differences between adults and adolescents using a mobile health application for menstrual complaints: A usability and qualitative study.

Background: A "Menstruatie Educatie Kalender" application (Menstruation Education Calendar, (MEK-APP)) was developed for adults to evaluate menstrual complaints. The future aim of this app is to use it as a self-diagnostic instrument for menstrual abnormalities for both adults and adolescents. Early identification of the potential of an application for future use by both user groups would increase implementation success and adoption of the application.