Health

The Science of Global Health Implementation

The Science of Global Health Implementation

published
28 click
14 views
URL
HTML code

By the end of this course, students will:


Become familiar with key concepts in the emerging area of implementation science;
Build problem-solving and implementation capacity in local and international global health settings;
Develop generalisable insights and best implementation practices.


Who is this course for?

Researchers, practitioners and students in Europe, the US and around the world interested in successful implementation of complex health programs that involve multiple interrelated clinical and public health solutions. The target audience includes employees of Ministries of Health, program and project managers in non-governmental organisations and advanced undergraduate and graduate students in a variety of health disciplines (medicine, public health, dentistry, nursing, pharmacy) as well as in fields such as engineering, management and economics.

What do I need to know?

Students will come from a variety of disciplines, but the course is generally best suited for advanced undergraduate and graduate students.

Course Structure

Chapter 0: Welcome
Students will discover the MOOC, its organisation and its main objectives.
They will be introduced to the notion of implementation science, its definition and how it can be a powerful tools for their research projects. They will discover practical examples of why we need implementation science.

Chapter 1: Preparing for change
Students will discover how to prepare their organisation for change.
Explanations will be given about the Lewin Stage Model, the theory of organisational readiness for change. Students will dive deeper into the topic with a case study.

Chapter 2: Designing change
Students will discover design thinking, a systematic way of introducing innovation into an organisation.
Many videos will present practical tools and methods (brainswarming, thinking hats, etc.). Design thinking will be illustrated with case presentation in the field of social innovation.

Chapter 3 : Implementing change
Students will explore tools and methods to implement their innovative solution (Implementation drivers and stages as well as the Hexagon Tools).
Students will dive deeper into the topic with a case study.

Chapter 4 : Sustaining change
Students will explore how to ensure that implementation continues over time.
They will discover key concepts such as the Run Charts, the wastes in Lean as well as the PDSA cycle and the Impact effort Matrix. A last cast study will be presented.

Chapter 5 : Final assessment
The last chapter will be dedicated to the final assessment.

Credits:

This MOOC is developed by the Centre Virchow-Villerme (a joint initiative between Charité and USPC) and is produced in collaboration with Université Paris Descartes, University of North Carolina Gillings School of Global Public Health and Indiana University Richard M. Fairbanks School of Public Health.

Licences:
The content of this MOOC is under Creative Commins licence CC-BY-SA.
ENROLL IN COURSE LINK: iversity.org/en/courses/the-scie...ation

Lessons hide description

 

 

University Medicine 29 views

The Science of Global Health Implementation 1 lesson

By the end of this course, students will: Become familiar with key concepts in the emerging area of implementation science;


University Mathematics 864 views

Introduction to Probability and Statistics A - UCI 16 lessons

Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distribution


University Mathematics 916 views

Math of Finance - UCI 15 lessons

Description: UCI Math 176 covers the following topics: reviewing of tools from probability, statistics, and elementary differential and partial differential equations, concepts such as hedging, arbitr


University Science 710 views

Software Architecture & Design 673 lessons

Software Architecture and Design teaches the principles and concepts involved in the analysis and design of large software systems. This course is split into four sections: (1) Introduction, (2) UML a


University Engineering 519 views

Machine Learning for Trading 218 lessons

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The


University Science 1016 views

Physics 50: Math Methods - UCI 75 lessons

Description: Mathematica and its applications to linear algebra, differential equations, and complex functions. Fourier series and Fourier transforms. Other topics in integral transforms. Filmed Sprin


University Science 27 views

Climate Change and Health 1 lesson

Climate change is currently at the center of the world’s attention, with delegations from more than 190 countries meeting in Paris for the COP21 to negotiate an ...


University Philosophy 2882 views

Humanities Lectures - Oxford University 37 lessons

A series of lectures delivered by Peter Millican to first-year philosophy students at the University of Oxford. The lectures comprise the 8-week General Philosophy course and were delivered in late 20


University Mathematics 348 views

Linear Algebra Refresher Course 23 lessons

This mini-course is intended for students who would like a refresher on the basics of linear algebra. The course attempts to provide the motivation for "why" linear algebra is important in addition to


University Mathematics 407 views

Intro to Inferential Statistics 490 lessons

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t


Web Stats

Community: 21,099 users
Active courses: 1,156
Lessons: 27,681
Data: 83 GB
Online: 50 users

News about new courses