Building Collective Efficacy in Public Health Organizations
This
recorded webinar defines the concept of collective efficacy, characterizes its
relevance to public health organizations, and provides practical,
evidence-informed strategies to enhance collective efficacy in public health
agencies in the face of an ever-broadening array of population health
challenges.
**Instructions
to access the course will be provided after you register.**
Learning
Objectives
At the
conclusion of this recorded webinar, participants will be able to:
- define the concept of collective efficacy and its relevance to public health organizations;
- describe two examples of public health scenarios in which collective efficacy can benefit public health organizational functioning; and
- describe strategies for building collective efficacy in public health organizations and their partners.
Target Audience
This
presentation is appropriate for all public health practitioners, especially
those working in community settings.
Instructor
Daniel Barnett, MD, MPH is a Professor in the Department of Environmental Health &
Engineering at the Johns Hopkins Bloomberg School of Public Health (JHSPH)
where he has joint appointments in the Department of Health Policy and
Management and the Department of Health, Behavior and Society. Barnett's
long-standing practice-based and research experiences in public health have
included a strong applied emphasis on public health workforce development in
the face of evolving challenges to population health and health security.
Level
This course is
appropriate for those with no or basic levels of experience with collective
efficacy.
Length:
1
hour
Continuing Education
Credits
Continuing
education credits are not offered for this course.
Technology
Requirements
This
recorded webinar is presented through the Vimeo Internet-based platform. A
computer with high-speed internet connection and the ability to download and
run this platform is required.
For
more information about this course or for assistance with registration, contact
marphtc@pitt.edu.
Creation Date
This
training was recorded August 19, 2024.
Systems Thinking in Public Health
Become
familiar with systems thinking through this self-paced video series, An
Introduction to Systems Thinking in Public Health; Complex Public Health Issues;
and Leveraging Systems Thinking Tools for Public Health Practice.
**Instructions to access the modules will be provided after
you register.**
Part 1: An Introduction to Systems Thinking
in Public Health
Part 1 provides an introduction to systems thinking and its
utility to public health and policy planning. It begins by differentiating
between different types of systems before focusing specifically on complex
systems, and the relevance of these concepts to the design of public health
interventions. This course also introduces group model building, an approach
that provides a structured basis for eliciting and synthesizing diverse
stakeholder perspectives on the structure and functioning of systems. Participants
will learn about the language and notation of systems thinking and will
have the opportunity to test their understanding by developing a simple causal
loop diagram.
Length: 24 minutes
Learning Objectives
At the conclusion of Part 1, participants
will be able to:
- differentiate between different types of system;
- define and explain the key characteristics of a complex system;
- describe the importance of systems thinking within public health;
- recognize when to use group model building to enrich understanding within public health;
- use
the language and notation of systems thinking; and
- develop a simple causal loop diagram.
Instructor
Ivana Stankov, PhD is a Senior Research Scientist at the Urban Health
Collaborative, Dornsife School of Public Health, at Drexel University. Her
research focuses on understanding the social and environmental determinants of
health and disease using complex systems methods. Stankov employs participatory
methods, including concept mapping and group model building to identify and
understand how food and transport systems impact health in cities. She is
actively involved in research that employs simulation-based methods, including
agent-based modelling, to understand place-health relations and explore the
effectiveness of policy-relevant interventions on health-related behavior and
mental health outcomes. She is also involved in research examining the role of
peer and romantic partner influences on adolescent substance use.
Part 2: Three Useful Tools
for Exploring Complex Public Health Issues
Part 2 explores complex
systems models and examines their relevance in understanding and helping solve
complex public health problems. Participants will learn about the kinds of real-world
systems that can be and has been studied using complex systems models. The
course will briefly describe three simulation models commonly used in public
health, namely agent-based models, social network analysis, and systems dynamic
modeling, along with some relevant examples of their uses. Participants will
have an opportunity to preview a free software (NetLogo) to run a basic
agent-based model to familiarize themselves with the software.
Length: 20 minutes
Learning Objectives
At the conclusion of Part 2, participants
will be able to:
- describe a complex systems model and why it is a useful tool for public healt;
- list
the key characteristics of three types of models used to explore complex
systems within public health – agent-based modeling, social network analysis,
and systems dynamics modeling; and
- use existing agent-based models in NetLogo software.
Instructor
Rennie Joshi, MPH is a second-year doctoral student of Epidemiology at
the Dornsife School of Public Health and a doctoral fellow at the Urban Health
Collaborative at Drexel University. She received her MPH in Biostatistics and
Epidemiology from Drexel University. Her research focuses on the social and
built environmental determinants of chronic diseases, particularly
cardiovascular health. She is interested in utilizing novel research methods to
better understand the effects of various environmental risk factors, such as
food environments, air pollution, and safety on cardiovascular health. She is
currently exploring complex systems simulation methods to understand the
effects of different policy interventions on ambient air pollution and its
public health consequences.
Part 3: Leveraging Systems
Thinking Tools for Public Health Practice
Part 3 focuses on the use
of systems thinking tools in clinical and public health settings. We
will explore PARTNER (a social network analysis tool) and FRED (an
agent-based modeling tool) through interactive demonstrations. Real world
examples of the use of systems thinking tools to engage policymakers and clinical
stakeholders will be discussed.
Length: 22 minutes
Learning Objectives
At the conclusion of Part 3, participants
will be able to:
- define the use of systems thinking tools in clinical and public health settings;
- cite existing systems thinking tools developed for public health applications;
- identify
potential challenges to applying systems thinking tools in clinical and public
health settings; an
- describe how systems thinking tools can be used to engage policymakers and promote the development of evidence-based policy.
Instructor
Katie Nelson, MPH is a second-year
doctoral student of Health Services Research and Policy at the Dornsife School
of Public Health and a doctoral research fellow at the Urban Health
Collaborative at Drexel University. She received her MPH in Health Management
and Policy from Drexel University. She works on the MINDMAP project funded
through the Welcome Trust that uses systems science to determine the impact of public policies
on depression in older adults living in urban areas. Her broader research
focuses on using public policy to improve the behavioral health of vulnerable
populations at local, state, and federal levels.
Target
Audience
This presentation is appropriate for public
health professionals in health departments, community based organizations, and
academic institutions.
Level
This training is appropriate for those with
no, basic, or intermediate levels of experience with systems thinking.
Technology Requirements
This recorded video series is presented on
Vimeo Internet-based platform. A computer with high-speed internet connection
and the ability to download and run this platform is required.
Continuing Education
Credits
Continuing
education credits are not offered for this training.
Creation Date
This
training was created in September 2019.
For more information about
this course, contact Jen Kolker at jak682@drexel.edu. For assistance with registration, contact marphtc@pitt.edu.