Thank you for attending the 2nd World Noncommunicable Diseases (NCDs) Congress 2022!

We appreciate your patience and participation in the meaningful discussions and engaging presentations. It would be greatly appreciated if you could take a few minutes of your time to fill out this brief survey.

For those who want to complete and obtain their CME credits, please go to Claiming CME Credit for the instructions.

All three days of the conference recordings will be made available online after June 20th, 2022.

Once again, Thank YOU for taking part in this important topic on the rising burden of noncommunicable diseases (NCDs) worldwide.

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The rising burden of noncommunicable diseases (NCDs) worldwide affects us regardless of age, income, or geography. Examples include diabetes, hypertension, cardiovascular diseases, cancer, chronic lung diseases, kidney diseases, mental health problems. Most attention is typically focused on downstream crisis management of chronic diseases and their complications. This reactive approach is not only inefficient, but costly. We must reverse this trend. It’s time we shift our attention to a culture of prevention by promoting health, and well-being through addressing root causes of disease. This Congress aims to prompt this seismic shift.

The 2nd World NCD Congress, June 9-11, 2022, assembles stakeholders from around the world and across sectors to address the critical and growing impact of noncommunicable diseases (NCDs) on the well-being of all people. The virtual event will focus on learning health systems, health equity, impact of climate and environment on health, with focus on primary and early secondary prevention.

We look forward to connecting with you for this one of a kind Congress, to make a world of difference in the prevention of noncommunicable diseases.

Sincerely,

2nd World NCD Congress Chair and Co-Chairs

Strategic Goals

• Stimulating interest and excitement about moving health and prevention to the forefront of thinking at all levels, with a large emphasis on primary and early secondary prevention.

• Introducing the ‘learning systems approach’ as a comprehensive paradigm toward individual, health systems and community level improvements in health. The importance of ‘infrastructure’, ‘data’, ‘knowledge’, ‘stakeholder engagement’, and ‘cross-sectoral partnerships’ as key elements of this approach.

• Highlight the importance of harnessing data and technology toward early disease detection, risk prediction, primary and secondary prevention through lifestyle and behavior change and newer therapies.

• Discussing approaches to addressing disparities in health and healthcare by addressing social and environmental determinants of health, attention to sustainable development, the impact of climate change, etc.

Target Audience

The conference aims to draw multi-sectoral participation from health sciences faculty and trainees, epidemiologists, community health workers, clinicians, urban planners, policy makers, patient educators, data scientists, nutritionists, engineers, behavioral scientists, public health practitioners, NGO employees, and members of private industry.

Accreditation and Credit Designation

This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the University of Michigan Medical School and the World NCD Federation (WNF).The University of Michigan Medical School is accredited by the ACCME to provide continuing medical education for physicians.

The University of Michigan Medical School designates this live activity for a maximum of 14.0 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Learning Objectives

At the end of this activity, participants will be able to:

• explain the value of learning health and surveillance systems and utilize these systems to improve quality, patient outcomes and prevent chronic diseases.

• utilize a learning health system to identify patients with known risk factors for common chronic diseases and recommend prevention measures and earlier screening (e.g., retinal imaging, urine testing, etc)

• use data from learning health systems to identify health disparities, environmental and social determinants in disease predisposition & progression