Communicating Information Regarding IBD Remission to Patients: Evidence From a Survey of Adult Patients in the United States.

Background: Previous research suggests patients living with inflammatory bowel disease (IBD) understand IBD remission differently than healthcare professionals, which could influence patient expectations and clinical outcomes. We investigated 3 questions to better understand this: (1) How do patients currently understand remission; (2) Do patients currently face any barriers to communicating with their healthcare professional about remission; and (3) Can existing educational material be improved to help patients feel more prepared to discuss remission and treatment goals with their healthcare professional?

Methods: We sent a web-based survey to adult patients with IBD in the United States. This survey included an educational experiment where patients were randomly assigned to 1 of 3 improved versions of existing educational material.

Crop rotational diversity can mitigate climate-induced grain yield losses.

Diversified crop rotations have been suggested to reduce grain yield losses from the adverse climatic conditions increasingly common under climate change. Nevertheless, the potential for climate change adaptation of different crop rotational diversity (CRD) remains undetermined. We quantified how climatic conditions affect small grain and maize yields under different CRDs in 32 long-term (10-63 years) field experiments across Europe and North America.

Does the Keele STarT MSK tool predict the risk of poor outcome in non-specific shoulder complaints in primary care in a Dutch population?

Objectives: The Keele STarT MSK tool is a questionnaire to identify the prognostic factors for musculoskeletal conditions, such as shoulder complaints, developed by Keele University, UK. This study assessed whether the Keele STarT MSK tool can predict the risk of poor outcome in non-specific shoulder complaints in a Dutch population.

Design: Multicentre prospective cohort study.

Attitudes Toward the Adoption of Remote Patient Monitoring and Artificial Intelligence in Parkinson's Disease Management: Perspectives of Patients and Neurologists.

Objective: Early detection of Parkinson's Disease (PD) progression remains a challenge. As remote patient monitoring solutions (RMS) and artificial intelligence (AI) technologies emerge as potential aids for PD management, there's a gap in understanding how end users view these technologies. This research explores patient and neurologist perspectives on AI-assisted RMS.