•label avoidance
TRANSCRIPT
•Label Avoidance–No treatment–So no labels–So no shame
1
2
seekersnon-seekers
45%
Label Avoidance
Epidemiological Catchment Area, National Co-morbidity Survey, NCSII
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usersnon-users
22%
Corrigan, P.W. (2004). How stigma interferes with mental health care. American Psychologist, 59, 614-625
Canadian Community Health Survey
Label Avoidance
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Public stigma
Self‐ stigma
Label avoidanceStructural
stigmastereotyp
eprejudice
discriminati
on PTSD -
suicide
Absence of treatment
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Protest Educatio nContact
Media‐ based
In vivo
v
e
h
i
c
l
e
-------processes--------
•Education
•Protest
•Contact 6
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•Education
Review key myths and facts that counter these myths
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•Myth: Serious mental illness is rare.
•Fact: Schizophrenia makes up .8% of the population. In Chicago Metro, that is 64,000 people, or the population of Joliet Illinois.
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•Protest–Review stigmatizing images–Shame on you for thinking that way
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•Beware the rebound effect
the white bear
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•Contact
“Meet Bob Lundin”
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•Bob’s story–My name is ______ and I have a severe
mental illness called schizo-affective disorder
–My childhood was not unusual…
–Unfortunately, my mental illness was traumatic. It did not go away quickly…
–Despite these problems, I have achieved several accomplishments.
N=213
Mental Illness Stigma(MIS)
Education:Responsibility
Contact:Dangerousness
Education:Dangerousness
Contact:Responsibility
control
MIS post test and follow-up
Corrigan, River, Lundin
et al 2001
5.8
6.8
7.8
8.8
9.8
10.8
control ed:danger ed:respon ct:danger ct:respon
prepost
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
control ed:danger ed:respon ct:danger ct:respon
prepost
-3.2-2.7-2.2-1.7-1.2-0.7-0.20.30.81.31.8
control ed:danger ed:respon ct:danger ct:respon
pref-up
con>edu
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Protest Educatio nContact
Media‐ based
In vivo
v
e
h
i
c
l
e
-------processes--------
• Media-based
• In vivo
services research 19
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frequency
27%
27%
28%
28%
29%
29%
30%
30%
31%
31%
32%
(March 2008) (May 09
frequency
Video Games
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Website visits
Real Warriors + Real Battles Real Strengths
www.realwarriors.net•DCoE Outreach Center live chat
•Natl Suicide Prevention Lifeline
•afterdeployment.org
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Odds Ratio 2.81***
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MILLIONS
thousands
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MILLIONS
thousands
Just going to the site is not enough
88% left after one minute!
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N=200
IOOV 90 min
IOOV 30 m in Educate
Recalltest
Recalltest
Recalltest
Corrigan et al., 2010
SAMPLE
Pre-test
Two Actors: Male and Female
12 positive things- “I work as an accountant.”
12 negative things- “I hear voices.”
3.84.85.86.87.88.89.8
IOOV30 IOOV90 Educ
Recall of Positive and Negative Statements
+ (POS)- (NEG)
Post hoc testsPositive Statements (IOOV30 = Educ) > IOOV90Negative Statements (IOOV30 = IOOV90) < Educ)
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•Good stigma change
• targeted
• local
•Landlords•Health care professionals•Teachers•Legislators •Employers
• The depressed employee• The suicidal adolescent• The panicked drug abuser
• The soldier with PTSDsailor, marine, airman
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•City•Office
•Church, synagogue, mosque•Military base
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• Understanding Stigma for Stigma Change• Framing Stigma Change
•Implications for Evaluation–Where’s the science? .
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N=213
Stigmatizing
Attitudes andBehavioral Intentions
Education:Responsibility
Contact:DangerousnessEducation:
Dangerousness
Contact:Responsibility
Control
Attitudes and Intentions @ post and 1 wk f-up
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
control ed:danger ed:respon ct:danger ct:respon
prepost
0.3
0.35
0.4
0.45
0.5
0.55
0.6
0.65
Pos Neg
6.8
7.3
7.8
8.3
8.8
9.3
9.8
10.3
10.8
control ed:danger ed:respon ct:danger ct:respon
pref-up
0
1
2
3
4
5
6
7
8
low mod high
stigma change
0
1
2
3
4
5
6
7
8
low mod high
stigma change
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• Reducing discrimination versus affirming actions–Not just what does it stop (less
prejudice)–but what is improved (more work)
• Specificity–Not just whether it “changes” people, put does
it change important groups• Employers landlords health care providers
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• Effect Size–Is the effect noticeable?–Does it matter? (social validity)
•Iatrogenic effects–Mental illness is a brain disorder
• Manuals and Fidelity –Need to catalogue interventions
• Feasibility–If you provide it will they come
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