This document discusses a study on the effects of a peer-led mental health literacy course called BRIDGES. The 12-week course was taught by people with lived experience of mental illness and aimed to improve participants' mental health literacy, reduce stigma, and support recovery. The study involved collecting pre- and post-course surveys from 19 participants measuring constructs like mental health knowledge, peer support, and problem-solving skills. Results found improvements in several areas, and participants reported increased understanding of their conditions and confidence in managing their mental health. Peer support was a particularly valuable aspect for many. The study faced limitations like a small sample size but provides initial evidence that peer-led courses may effectively improve mental health literacy and recovery.
Effect of Peer-to-Peer Mental Health Class on Literacy and Recovery
1. ALLIANCE ON MENTAL
ILLNESS’S PEER-TO-
PEER CLASS AND ITS
EFFECTS ON MENTAL
HEALTH LITERACY
AND RECOVERY
Ariel Hargrave
Melinda Russell-Stamp, Ph.D.
Weber State University
2. “One in four adults-approximately 57.7
million Americans experience a mental
health disorder within a given year. One in
17 lives with serious mental illnesses such
as schizophrenia, major depression or
bipolar disorder and about one in 10
children live with a serious mental or
emotional disorder” (U.S. Census Bureau,
2004).
3. Knowledge and beliefs about help-seeking,
treatment, causes of mental illness and
their risk factors.
Mental Health Literacy:
4. Building Recovery of Individual Dreams and
Goals through Education and Support
(BRIDGES)
Consumers are taught by fellow
consumers on the road to
recovery
12-week educational course
BRIDGES handbook is given to
all participants
5. Key Factors for Self-Advocacy
Mental health
literacy
Stigma
reduction
Peer supports
Communication
Connection to
family/communit
y support
Problem solving
Coping skills
6. Rated from 1 (strongly agree) to 5
(strongly disagree)
1. I believe that mental illness is a brain disorder that occurs due to a
complex interaction of biology and environment.
2. I believe that mental illness is a character flaw or weakness.
3. I feel discriminated against or stigmatized due to my mental illness.
4. I am able to explain my mental illness to family, friends, and others.
5. I feel confident in my ability to build and maintain supportive relationships
with others.
6. I believe that there are people who understand my experience with
mental illness.
7. I am confident in my ability to identify personal barriers to help-seeking
and recover and to overcome these barriers.
8. I feel confident in my ability to solve problems in positive ways.
9. I feel confident in my ability to communicate effectively with others.
10. I feel confident in my ability to manage my mental illness.
11. I feel a peer-to-peer approach is useful in my recovery.
8. Methods
Participants: Individuals 18 and older
with a mental illness diagnosis under
the DSM-IV, registered for the
BRIDGES class
Procedures: Pre-test was distributed
the first day of the BRIDGES class
and a post-test was distributed on the
last day. Assessments are
anonymous and consent forms were
9. Analysis
Mean N Standard
Deviation
Pre Test Total 25.57 7 8.039
Post Test
Total
21.71 7 5.678
t df Significance
(2-tailed)
Pre Test Total-
Post Test Total
1.645 6 .151
13. Partial Correlations among Key
Factors (N=19)
Pre- Mental
Health
Literacy
Pre- Peer
Support
Pre-
Connection
to Family
Pre- Skills
Pre- Mental
Health
Literacy
.576* .578*
Pre- Total .915** .698*
*p<.05
**p<.001
14.
15. Personal Comments
What was the most valuable
aspect of the BRIDGES class?
“My illness is a result of my biology.”
“The information about my disorder and how it
effects the way in which I can approach my future
with confidence and enthusiasm.”
“It was interesting to learn how many people had
mental illness.”
“I have to be proud of myself, I’m doing the best I
can do to get better.”
16. “Speak up! Tell other’s things that I don’t want
to tell them when it’s important…like when I
was having scary thoughts and ended up
going to the UNI Hospital.”
“One thing that was very valuable was having
other’s who understand.”
4 out of the 7 mentioned some
form of peer support as being
helpful in their recovery.
17. Discussion
High drop out rate of class
Possible misunderstanding of statements
Small sample size
Could severity of a diagnosis be a reason for
high scores?
Collect information on how many classes each
individual took, compare scores
18. A thank you
to NAMI
Utah, Kim
Myers, and
the
facilitators of
the
BRIDGES
classes for
making this
research
possible.
U.S. Census Bureau Population Estimates by Demographic Characteristics. Table 2:
Annual Estimates of the Population by Selected Age Groups and Sex for the United
States: April 1, 2000 to July 1, 2004 (NC-EST2004-02) Source: Population Division,
U.S. Census Bureau Release Date: June 9, 2005.
http://www.census.gov/popest/national/asrh/
Cumming, G., & Finch, S. (n.d.). Inference by eye confidence intervals and how to read
pictures of data. (2005).American psychologist, 170-180.
Editor's Notes
poor mental health literacy equals misconceptions about being dangerous, labeled as weak, something that would go away if the person tried hard enough. individual surrounded by society's stigma believe there are no resources and they can't be helped. education is the key to reducing stigma and correcting the misconceptions about mental illness. research has been done on the general public's mental health literacy and results show that over the past decades mhl has increased but is still not ideal. the goal of my research is to identify key factors in mental health literacy and the recovery for those struggling with mi.
nami is a non profit organization that provides free resources to individuals with mi as well as their families. the bridges class teaches those with a mi about their disorder, treatment options (meds or therapy), coping skills, and how to self advocate. the peer to peer approach is unique in that educational material is being taught by someone with a mental illness as well. i hypothesize that this approach is benificial to those seeking treatment because a sense of true empathy is present. when consumers start to understand their illness, they can better explain it to others. self advocating opens the eyes of the public in recognizing mental health issues and educates them in the process.
BRIDGES handbook includes resources for further reading, worksheets and handouts. As well as options for other modules (eating disorders, personality, AD or DI disorders, self-injury or spirituality and mi).
Based on the bridges curriculum book and what research has identified as key factors in recovery, I developed a survey to test what consumers' beliefs were on certain statements. I hypothesize that after taking the bridges class their responses will be more positive towards their recovery and they will have an increased knowledge of mental health.
Qualitative questions asked on post test
Distributed to 3 different counties (Weber, SLC, Davis)
Post test demographics: 3 men 4 women, 6 caucasian 1 hispanic, youngest 20 oldest 53
A paired-samples t test was conducted to evaluate positive response increase after the BRIDGES class (positive response equals lower scores). The mean score from the pre-test was 25.57 (sd = 8.04) compared to the mean score of the post-test was 21.71 (sd = 5.68). The differences between the two means were not statistically significant at the .05 level (t = 1.645, df = 6).
Paired-samples t tests were also conducted to evaluate differences between group factors. The differences between means were also not significant.
An independent t test was conducted to evaluate the pre test total differences between individuals who completed both the pre and post test and those who only completed the pre test. The mean score for the completed individuals was 25.57 (sd = 8.04) compared to the mean score of the incomplete individuals was 30.42 (sd = 6.63). With equal variances assumed the differences between the two means were not statistically significant at the .05 level (t = -1.424, df = 17).
Partial correlation coefficients were computed among the five categories. Controlling for gender, age and completion of the pre and post test, four significant correlations were found (Table 1).