GLS National Outcomes Evaluation Data Webinar …...GLS National Outcomes Evaluation Data Webinar...
Transcript of GLS National Outcomes Evaluation Data Webinar …...GLS National Outcomes Evaluation Data Webinar...
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GLS National Outcomes Evaluation Data Webinar Series
JULY 11, 2019 Sophia Zanakos, PhD
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Turning Your Data into
Knowledge and Action:Part 2 of 3
July 11, 2019 Sofia Campos, MPH
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Webinar Video and Handouts
Today’s webinar is being recorded
The slides were e-mailed to you prior to the
webinar
If you did not receive the message, check your spam
e-mail folder
The video will be made available on the Suicide
Prevention Data Center (SPDC)
https://www.suicideprevention-datacenter.com
and the Suicide Prevention Resource Center website
https://www.sprc.org/
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GLS Data Series Description
Session 1Defining the Purpose for Your Message• Finding the Goal• Define the Audience
Session 2Collecting and Interpreting the Data • GLS & Secondary Data• Social Math
Session 3Creating Shareable Information• Tying It Together• Data Visualization Principles
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Webinar 1 Recap
• Define and write down your priority goal.
• List and profile your audience segments.
• When done, rank them in order of priority.
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Where are we going?
What is your goal?
Who is your audience?
What is the message?
What action should the audience take?
What GLS related data are available?
How do you translate the data?
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Scenario 1: Counseling services
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Scenario 2: Ongoing support
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Interpreting what you have
What GLS-related
data are available to
you?
How do you translate
these data into
everyday contexts?
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What NOE data are available?
Number of trainings
Referral rates
Expenditures
Gatekeeper behaviors
Service receipt rates
Infrastructure
development
Outreach activities
Characteristics of GLS
contacts
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What NOE data are available?
EIRF-SPSI
TASP SBHF
TUP-SEIRF-I
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Prevention Strategies InventoryPSI
• Prevention Strategies Implemented
• Budget Expenditure
OUTREACH & AWARENESS
GATEKEEPER TRAINING
ASSESSMENT, CLINICAL & REFERRAL TRAINING
LIFE SKILLS & WELLNESS
SCREENING PROGRAMS
HOTLINES, HELPLINES,
TEXTLINES & CHATLINES
MEANS RESTRICTION
COALITIONS &PARTNERSHIPS
POLICIES, PROTOCOLS &
INFRASTRUCTURE
OTHER PREVENTION STRATEGIES
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Early Identification, Referral, and Follow-Up Form
EIRF
• EIRF-Individual
• # of youth identified as at risk for suicide
through GLS trained gatekeepers
• EIRF-Screening
• # of youth identified as at risk for suicide
through GLS-sponsored screenings
• Referral rates and service receipt rates
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Training Activity Summary Page TASP
TYPE OF TRAINING
NUMBER OF TRAINEES
INTENDED OUTCOME
BOOSTER TRAINING
ROLE OF PARTICIPANTS
RESOURCES DISTRIBUTED
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What NOE data are available?TUP-S
• Measures gatekeeper behaviors 3 and 6
months following the training:
• self-efficacy
• awareness
• education efforts
• suicide identification behavior
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Student Behavioral Health FormSBHF
USE OF BEHAVIORAL
HEALTH SERVICES
LINKAGES TO COMMUNITY PROVIDERS
USE OF STANDARDIZED
SCREENINGS
FOLLOW-UP SUPPORT
STUDENT SUICIDE
ATTEMPTS
DEATHS BY SUICIDE
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What NOE data are available?
Access and Use Your NOE Data
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What NOE data are available
for counseling services
scenario?
Number of students receiving
services on campus
(Student Behavioral Health Form)
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What NOE data are available
for the ongoing support
scenario?
Trainees’ use of the training material
for identification of at-risk youth
(Training Utilization Preservation
Survey)
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POLL QUESTION
Which NOE
datasets are most
useful to you to
support your goal?
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Secondary Data
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Secondary Data
1999-2017CDC WONDER
• Compressed mortality
• Multiple cause of death
• County & state level
2000-2017CDC WISQARS
• Fatal and nonfatal injury
• Violent death
• Cost of injury
• National level data
1971-2016SAMHSA’s NSDUH
• Substance use
• Mental health
• Health behaviors
• State level data
State/Tribal
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Secondary Data
1999-2017CDC WONDER
• Population totals
• Demographic breakdowns
• County & state level
2005-2017Census
• Uninsured rates - SAHIE
• Poverty rates - SAIPE
1999-2017BLS
• Unemployment rates
1999-2016AHRF
• Health care providers
• Health care facilities
State/Tribal
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Secondary Data
2000-2016NCES
• Enrollment
• Faculty
• Institutional offerings
2008-2019ACHA-NCHA
• Substance use and mental health
• Health behaviors
• Membership/participation required
2014-2018Healthy Minds
• Mental health and use of services
• Health behaviors
• Membership/participation required
Campus
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Need to narrow down the quantity of publically available data
Secondary Data
What do you want
to share with your
audience?
Do you want to
share national,
state, and/or
local data?
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Secondary Data
Campus
Context
County-level
suicide mortality
(CDC WONDER)
Selected Communities
within State or
Tribal Communities
State-wide data on
health behaviors
(NSDUH)
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What public data are
available for the counseling
services scenario?
Total student enrollment
(NCES)
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What public data are
available for the ongoing
support scenario?
Number of ED providers
(AHRF)
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POLL QUESTION
Which secondary
datasets are most
useful to you to
support your goal?
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What gaps still exist?
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Translate the findings into everyday context for your audience
Break a number down by time or place
Compare an abstract number to something familiar
Social Math
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Social Math
• 0.89 per 100,000
fewer deaths one
year following GLS
implementation
• 1.09 per 100,000
fewer deaths two
years following GLS
implementation
• 2.4 per 100,000
fewer deaths 2 years
after GLS
implementation in
rural counties
882 lives saved
between 2006-201520% stronger effect
in rural counties
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How can you translate the
findings for the counseling
services scenario?
Length of time to eliminate the
wait-list with one additional
counselor on staff
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Social Math – Counseling Services
• 200 students are on a wait list for an initial intake
assessment; students must wait up to 2 weeks from
requesting appointment to intake.
• Hiring an additional counselor would mean that 6
additional students per day could receive services
200 students
6 students per day
Wait time reduced within 34 working days
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How can you translate the
findings for the ongoing
support scenario?
Number of at-risk youth per year
that would have previously not
been connected to services
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Social Math – Ongoing Support
• Average gatekeeper identifies 0.37 youth
• In the county there are 684 emergency department
staff
75% of ED staff = 513
staff
By training 75% of ED
staff, 190 youth could be
identified as at-risk for
suicide who had not
previously been
identified
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What did we accomplish? ng?
What is your goal?
Who is your audience?
What is the message?
What action should the audience take?
What GLS related data are available?
How do you translate the data?
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QUESTIONS?
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Use the “Communicating Data Cheat Sheet”
• Write down the data you have to support your goal.
• Write down the data you need to support your goal.
• List the specific data points.
• When done, rank them in order of priority.
Audience Homework audience?
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Where are we going?
What is your goal?
Who is your audience?
What is the message?
What action should the audience take?
What GLS related data are available?
How do you translate the data?
How do you visually display your data?
How do you create an infographic?
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Contact Information
Jessie Rouder: SBHF Data
Collection Lead (DCL)
• 516-887-3201 (EST)
Brandee Hicks: Training DCL
• 404-592-2198 (EST)
Nora Kuiper: PSI & EIRF DCL
• 404-592-2139 (EST)
Connie Maples: TAL
• 956-722-0474 (CST)
Taylor Moore: Site
Management Lead and TAL
• 404-320-4425 (EST)
Sophia Zanakos: Project
Director and TAL
• 301-572-0239 (EST)
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