Research Priorities to Increase Confidence in and Acceptance of Health Preference Research: What Questions Should be Prioritized Now?

Background And Objective: There has been an increase in the study and use of stated-preference methods to inform medicine development decisions. The objective of this study was to identify prioritized topics and questions relating to health preferences based on the perspective of members of the preference research community.

Methods: Preference research stakeholders from industry, academia, consultancy, health technology assessment/regulatory, and patient organizations were recruited using professional networks and preference-targeted e-mail listservs and surveyed about their perspectives on 19 topics and questions for future studies that would increase acceptance of preference methods and their results by decision makers.

Patients as research partners in preference studies: learnings from IMI-PREFER.

Background: There is growing recognition of the importance of patient and public stakeholder involvement (PPI) in patient preference research. However, limited evidence exists regarding the impact, barriers and enablers of PPI in preference studies. The Innovative Medicines Initiative (IMI)-PREFER project conducted a series of preference case studies which incorporated PPI.

Periostin as a blood biomarker of muscle cell fibrosis, cardiomyopathy and disease severity in myotonic dystrophy type 1.

Background And Purpose: Myotonic dystrophy type 1 (DM1) is the most common form of adult-onset muscular dystrophy and is caused by an repeat expansion [r(CUG)] located in the 3' untranslated region of the DMPK gene. Symptoms include skeletal and cardiac muscle dysfunction and fibrosis. In DM1, there is a lack of established biomarkers in routine clinical practice.

Estimating conformational landscapes from Cryo-EM particles by 3D Zernike polynomials.

The new developments in Cryo-EM Single Particle Analysis are helping us to understand how the macromolecular structure and function meet to drive biological processes. By capturing many states at the particle level, it is possible to address how macromolecules explore different conformations, information that is classically extracted through 3D classification. However, the limitations of classical approaches prevent us from fully understanding the complete conformational landscape due to the reduced number of discrete states accurately reconstructed.

Barriers to a healthy diet and physical activity in Mexican adults: results from the Mexican Health and Nutrition Survey.

This study aims to (1) identify the most prevalent perceived barriers for healthy eating and performing physical activity among adults in Mexico; and (2) determine the association between perceived barriers, with body mass index (BMI) categories, geo-demographic and socio-economic characteristics. We carried out a cross-sectional, secondary analysis of publicly available data from the Mexican Health and Nutrition Survey 2016. We extracted data from 6406 adults, aged 20-65 years, including: perceived barriers for healthy eating and for performing physical activity, BMI, residence area, region of Mexico, sex, age and socio-economic status.