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Decision Neuroscience

Making decisions is part of our daily life
Decision Neuroscience, a branch of Neuroeconomics, combines concepts from behavioral economics, cognitive science and psychology to study how we make decisions.
What is NeuroEconSolutions?
We are a team of scientists committed to improve the understanding of how decisions are made in health care. We apply principles and strategies from behavioral economics and translate them into clinical practice

The conceptualization of our innovative strategy merges two worlds — Neuroeconomics and Medicine. 

We work with our clients to identify specific health care issues to bring practical solutions.

Our Founders & Scientific Leaders

Prof. Dr. Gustavo Saposnik is a Neurologist, PhD in Neuroeconomics (Decision Neuroscience) with over 20 years of experience in academic research.

Professor Saposnik is the Founder and Scientific Director of NeuroEconSolutions, an Associate Professor at University of Toronto, and a Staff Neurologist and Scientist at St. Michael’s Hospital.
Dr. Saposnik achieved international recognition as reflected from his passion for research and innovation in this novel field, personal awards, peer-review funding, over 280 publications, and invitations as a keynote speaker in over 20 countries.
Gustavo Saposnik, MD MPH PhD FRCPCFounder and Medical Director
Gustavo Saposnik, MD MPH PhD FRCPC
Maria Terzaghi is a Registered Pharmacist who brings over 15 years of experience working in the pharmaceutical industry and also teaching at at the University of Toronto. Maria is one of the founders who provides expertise in Regulatory Affairs, clinical trials design, and graduate and postgraduate education.

Maria is the liaison with our partners, research and marketing teams and leads the operations for the ongoing and prospective studies.

Maria A. Terzaghi, RPhFounder and Director of Operations
Maria A. Terzaghi, RPh

Our Research Team

Our work is enhanced by recruiting leaders in artificial intelligence, expert methodologists and trial designers, behavioral economists, statisticians, front-line health care providers, and students.

Many of our team members are internationally recognized leaders in clinical research, education, and clinical practice.

We’ve also partnered with the Decision Neuroscience Lab at the University Of Toronto, the Laboratory for Social and Neural Systems Research at the University of Zurich , the Li Ka Shing Institute at St. Michael’s Hospital, Toronto, and the Stroke Outcomes Research Group (SorCan.ca), among others.

Strategy & Research Focus

Our Strategy Steps


strategy-1

Our Research Focus


Our Mission

To increase awareness about cognitive biases and facilitate optimal decisions of healthcare professionals thru innovative research.

To improve medical education and patients’ experiences and outcomes through innovative research.

Our Goals

To create and evaluate educational interventions targeting health care professionals and patients to overcome therapeutic inertia and status quo

To improve patients’ experiences and outcomes by applying principles from neuroeconomics

To promote the implementation of patient centered outcomes

To identify issues and provide solutions towards a shared decision processes

Our Platform


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Example 1: Therapeutic Inertia
Example 2: Stroke Prevention for Atrial Fibrillation
Example 3: Educational Intervention
Example 4: TI Mechanisms
Example 1: Therapeutic Inertia

Therapeutic Inertia (TI): introduced in 2006

  • Definition: “absence of treatment initiation or intensification when treatment goals are unmet”
  • Consequences: TI Leads poorer patient’s outcomes and suboptimal MS care
  • Studies from Europe and North America: >50& patients remained with control hypertension (Wang YR, et al. Arch Intern Med 2007;167:141-147, Grassi G, et. al. Eur Heart J. 2011;32:218-225)
  • Early intense MS therapies more effective than escalation therapies (lower EDSS at 5 yrs; p=.002) (Harding K, et al. JAMA Neurol 2019;76(5):536-541)
  • Treatment escalation leads to fewer relapses (Relapse rate ratio – 30%; 95%CI 14-44%) (Chalmer et al. J Neurol 2019 Feb;266(2):306-31)

Example 2: Stroke Prevention for Atrial Fibrillation

A Study of over 100 Cardiologists from Central & South America

Example 3: Educational Intervention

Example 4: TI Mechanisms

Publications

Decision making poker players and neuroeconomics

Making decisions in medical care is a difficult task, involving a variety of cognitive processes. Decision making is defined as the process of examining possibilities, risks, uncertainties, and options, comparing them, and choosing a course of action. Decisions based on erroneous assessments may result in incorrect patient and family expectations, and potentially inappropriate advice, treatment, or discharge planning (eg, longer length of hospitalization, long-term placement, and wasted resources). Rapid and accurate decision making is critical to stroke care, for which several factors have proven effect on outcomes. In brief, there are patient-level, hospital-level, and provider-level characteristics that directly affect stroke outcomes.

to read full article, please click here

Decision making general concepts in Neuroeconomics

The management of multiple sclerosis (MS) is rapidly changing by the introduction of new and moreeffective disease-modifying agents. The importance of risk stratification was confirmed by results on diseaseprogression predicted by different risk score systems. Despite these advances, we know very little about medicaldecisions under uncertainty in the management of MS. The goal of this study is to i) identify whetheroverconfidence, tolerance to risk/uncertainty, herding influence medical decisions, and ii) to evaluate the frequencyof therapeutic inertia (defined as lack of treatment initiation or intensification in patients not at goals of care) andits predisposing factors in the management of MS 

to read full article, click here

Emotional Expressions and Therapeutic inertia underlying mechanisms

Emotions play a critical role in our daily decisions. However, it remains unclear how and what sortof emotional expressions are associated with therapeutic decisions in multiple sclerosis (MS) care. Our goal wasto evaluate the relationship between emotions and affective states (as captured by muscle facial activity andemotional expressions) and TI amongst neurologists caring for MS patients when making therapeutic decisions

to read full article, please click here

Factors associated with therapeutic decisions in acute stroke care (UNMASK EVT)

Little is known about the real-life factors that clinicians use in selection of patients that would receive endovascular treatment (EVT) in the real world. We sought to determine patient, practitioner, and health system factors associated with therapeutic decisions around endovascular treatment 

to read full article, click here

Herding in Multiple Sclerosis

In behavioral economics, herding is a phenomenon by which individuals follow recommendations from others rather than deciding independently on the basis of their own private information. Herding can occur in multiple sclerosis (MS) when a neurologist follows a therapeutic recommendation by a colleague even though it is not supported by best practice clinical guidelines. Limited information is currently available on the role of herding in medical care. The objective of this study was to determine the prevalence (and its associated factors) of herding in the management of MS

to read full article, click here

The role of uncertainty in therapeutic decisions

Limited information is available on physician-related factors influencing therapeutic inertia (TI) in multiple sclerosis (MS). Our aim was to evaluate whether phy-sicians’ risk preferences are associated with TI in MS care, by applying concepts from behavioral economics

to read full article, click here

 
Therapeutic Decisions in Atrial Fibrillation for Stroke Prevention

Knowledge-to-action gaps influence therapeutic decisions in atrial fi-brillation (AF). Physician-related factors are common, but the least studied. Weevaluated the prevalence and determinants of physician-related factors and knowledge-to-action gaps among physicians involved in the management of AF patients

to read the full article, click here

Therapeutic intertia a comparative study among 4 countries

There is growing interest in understanding and addressing factors that govern the decision-making process in multiple sclerosis (MS) care. Therapeutic inertia (TI) is the failure to escalate therapy when goals are unmet. Limited data are available on the prevalence of TI and factors affecting therapeutic decisions in the management of patients with MS worldwide

to read full article, click here

Traffic light system reduces therapeutic inertia: A proven effective educational intervention

Therapeutic inertia (TI) is a common phenomenon among physicians who care for patients with chronic conditions. We evaluated the efficacy of the traffic light system (TLS) educational intervention to reduce TI among neurologists with MS expertise.

to read full article, click here

What do we know about Therapeutic Inertia? Lessons learned from Neuroeconomics

The landscape of multiple sclerosis (MS) treatment is constantly changing. Significant heterogeneity exists in the efficacy and risks associated with these therapies. Therefore, clinicians have the challenge to tailor treatment based on several factors (disease activity level, risk of progression, individual patient preferences and characteristics, personal expertise, etc.), to identify the optimal balance between safety and efficacy.

to read full article, click here


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maria@neuroeconsolutions.com

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Business name: G. Saposnik Medicine Professional Corporation
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