This course about intervention research, offered by New York University, dives deep into the MOST method of conducting intervention research contrary to the standard approach. Curated by Linda M Collins and Kate Guastaferro, the Introduction to the Multiphase Optimization Strategy (MOST) certification by Coursera educates learners about the intervention programme in terms of affordability, scalability, and efficiency.
In this course, learners will gain a clear understanding of the three essential phases of MOST: preparation, optimization, and evaluation. Additionally, they will explore the two fundamental principles of MOST, namely: the resource management principle and the continual optimization principle. The Introduction to the Multiphase Optimization Strategy (MOST) online course is designed for intervention scientists and those training to become one. It caters to interdisciplinary teams developing and evaluating interventions, as well as implementation scientists.
The Highlights
Approx. 18 Hours To Complete
Certification by New York University
Financial Aid Available
Intermediate Level Course
Programme Offerings
video lecture
Certification
Graded quiz
Feedback
discussion forum
Courses and Certificate Fees
Fees Informations
Certificate Availability
Certificate Providing Authority
INR 2414
yes
Coursera
Introduction to the Multiphase Optimization Strategy (MOST) online certification fees amount to Rs. 2,414 with certification. Although, auditing of the course is an option available for free.
Eligibility Criteria
Certification Qualifying details of Introduction to the Multiphase Optimization Strategy (MOST)
Learners of Introduction to the Multiphase Optimization Strategy (MOST) training must get a score of 80% or higher in the final exam for certification.
What you will learn
Introduction to the Multiphase Optimization Strategy (MOST) classes will train learners to:
Apply the MOST framework to research goals and contrast it with the conventional method of intervention creation and testing.
Finish the preparation and optimization stages of MOST by developing a theoretical model, picking intervention components, setting an optimization criterion, and running experiments.
Employ factorial and sequential experimental methods to assess the performance of each intervention component and improve the intervention.
Test the improved intervention in terms of its effectiveness, cost-effectiveness, and scalability.
This Introduction to the Multiphase Optimization Strategy (MOST) certification course is for intervention researchers who want to learn a new framework for conducting intervention research in any area, such as public health, education, criminal justice, and others such as Research Scientists, or Social Workers.
Step 3- Login/signup using an email id, create one if required to begin with the course.
Step 4- Choose the course duration and the course's payment plan. You can also audit the course for free. Auditing the course does not allow access to the certificate.
Step 5 - After the payment of the fee, an email with the course details will be sent to you as a confirmation of being enrolled in the course.
The Syllabus
Videos
Introduction to this course
Definitions of key concepts, Part 1
Definitions of key concepts, Part 2
What knowledge can and cannot be obtained from an RCT
Comparison of the classical treatment package and engineering approaches
The concept of optimization
The three phases of MOST
Why MOST is a different way of thinking
Review of Module 1
Readings
Course Review Form
Reading for ALL OF Module
Videos
Basics of the Conceptual Model
The Conceptual Model: Best Practices
The Causal Part of the Conceptual Model
The Appropriate Level of Granularity for Intervention Components
Expressing Moderation in a Conceptual Model
The Pilot Study
Specifying the Optimization Objective
Review of Module 2
Readings
Reading for ALL OF Module 2
Videos
Importance of the resource management principle
Introduction to the factorial experiment
Fundamental differences between the factorial experiment and the RCT
Why factorial experiments can be so economical
Why the 2^k experiment is so economical
Experimental control in a factorial design
Brief introduction to adaptive interventions
Different interventions, different optimization trial designs
Review of Module 3
Readings
Reading for Lessons 1-6
Reading for Lessons 7 and 8
Videos
The regression model and coding
Interpretation of interaction effects
Understanding the basics of powering a factorial experiment
Two distinct perspectives on research: Conclusion-priority and decision-priority
Recognizing and dealing with a cluster structure
Review of Module 4
Readings
Reading for ALL OF Week 4
Videos
Ensuring that all factors can be manipulated independently
Ensuring that all participants are provided with at least the standard of care
What to do if the primary outcome is years in the future
Informed consent in a factorial optimization trial
How to enter an optimization trial in a trial registry
Equipoise in optimization trials
How to avoid contamination
How to guard against protocol deviations
Review of Module 5
Readings
Reading for ALL OF Week 5
Videos
What it means to conclude the optimization phase of MOST
Introduction to making decisions based on the results of a factorial optimization trial
An example of making decisions based on the results of a factorial optimization trial
Beyond the optimized intervention
Review of Module 6
Readings
Reading for ALL of Module 6
Course Review Form
Practice Exercise
Final Exam
Evaluation process
The Introduction to the Multiphase Optimization Strategy (MOST) certification syllabus mandates that the participants go through the final exam and score 80% or higher for certification.