Conveying Health Information to Media & Colleagues��Day 1
Data Impact Program
Communicating with Data
Workshop Overview
Data Impact Program
Introduction
Data Impact
3 Keys to Effectiveness
Find compelling story elements in the data
Sequence the data into a story plot
Make data accessible to target audience
Data Impact Program
Find compelling story elements
YESTERDAY
Where were we?
TODAY
Where are we?
…in comparison with others?
TOMORROW
Where could we be?
Why?
How?
Data Story Elements: Advocacy
Sequence the data into a story plot
EXPOSITION
RISING ACTION
CLIMAX
FALLING ACTION
RESOLUTION
Plot Structure of Stories: Freytag’s Pyramid
Sequence the data into a story plot
Where are we now
Where were we
What we did
Why we did it
What was impact
Where could we have been
Plot Structure of a Sample Data Story
Make data accessible to target audience�
Simplify language
Simplify numbers
Personalize
Use tools correctly
Tips for Expressing Data
Conveying Health Information to Media & Colleagues
Session 1.1 – Introductions & Overview
Data Impact Program
Training Goal
Help build Ministry’s capacity to share health information with the media and general public
Session Objectives
By the end of the training, you will be able to:
Day 1 Overview
SESSION NO. | SESSION TITLE |
| Registration |
1.1 | Introductions & Overview of Training |
1.2 | What’s the Message in the Data? |
| Tea Break |
1.3 | Why Use Data in Health Communication? |
| Lunch |
1.4 | Building Block #1: Basic Communication Model |
1.5 | Building Block #2: Who’s Your Audience? |
1.6 | Evaluate the Day |
| Steering Committee Meeting |
Getting to Know You
Name
Title/position/responsibilities
When have you had to communicate with the media? How was your experience?
Give your expectations of the training
Message in the Data?
Session 1.2
Data Impact Program
Session Objectives
By the end of the session, you will be able to:
What’s the Message in the Data?
You have 20 minutes for this activity. Be prepared to present (5 minutes) and justify your group’s work
Was it easy to find the message in the data?
Why Use Data?
Session 1.3
Data Impact Program
Session Objectives
Purposes of Health Information
Motivate Resources
Conserve Resources
Inform About Government Successes
Provide Information that Help Make Critical Decisions
Inform the Public About Key Health Messages
What does this tell you?
Source: World Bank Data Topics Gender Equality
Why use data?
To tell us
Where we were
Where we are
Where we could be
Using Data Wisely
Questions
Basic Communication Model
Session 1.4
Data Impact Program
Session Objectives
Communication
Basic Communication Model
Source
Message
Audience
CHANNEL
Adapted from Source: Making Data Talk: Communicating Public Health Data to the Public, Policy Makers, and the Press (2009). David E. Nelson, Bradford W. Hesse, and Robert T. Croyle, Figure 2.1, p. 31.
CONTEXT
Does anything ever go wrong in this process?
Source
Message
Audience
CHANNEL
Adapted from Source: Making Data Talk: Communicating Public Health Data to the Public, Policy Makers, and the Press (2009). David E. Nelson, Bradford W. Hesse, and Robert T. Croyle, Figure 2.1, p. 31.
CONTEXT
What affects the effectiveness of communication?
Source
Message
Audience
CHANNEL
Adapted from Source: Making Data Talk: Communicating Public Health Data to the Public, Policy Makers, and the Press (2009). David E. Nelson, Bradford W. Hesse, and Robert T. Croyle, Figure 2.1, p. 31.
CONTEXT
Components of the Model
Sources
Messages
Channels
Audiences
Context
Know Each Component Well
Summary: Why is using the communication model important?
Who’s your audience?
Session 1.5
Data Impact Program
Session Objectives
Target Audiences
Any more?
Group Work
Technical vs. Non-Technical Audiences
Data Impact Program
Make This Understandable
Non-Technical (lay) Audience
Between 2005 and 2015, there was a 10% increase in suicides amongst township adolescents
Technical Audience
Suicide increased 9.65% among adolescents between 2005 and 2015 (p < 0.05), with 4.6 deaths per 100,000 in 2015 in the township
Make This Understandable
Non-Technical (lay) Audience
Men who smoke are three times more likely to have a heart attack than men who don’t smoke
Technical Audience
We conducted a longitudinal analysis of 900 men and found that the odds of myocardial infarction (MI) were 3.45 times greater in smokers than in non-smokers
Lay audiences: what works?
Technical audiences: what works?
Summary
Here are some of ours:
What are your “take-away” messages?
Evaluate and Close
Data Impact Program