dissertation and work samples
TRANSCRIPT
Running head: PROFESSIONAL PORTFOLIO
MELISSA STANTON737 Brandon Lane SW, Rochester, MN 55902 | 507-990-8210 | [email protected]
EDUCATIONWalden University, Minneapolis, MNIn Progress: Ph.D. in Public Health – Epidemiology 2015-PresentDissertation: Spontaneous Coronary Artery Dissection (SCAD) and Body ImageHonors:
Winona State University, Winona, MNB.A. Honors in Psychology 2010Areas of Concentration: PsychologyMinor: SociologyPhi Theta Kappa, Psi Chi, Golden Key
TEACHING EXPERIENCEWinona State University, Winona, MNTeaching Assistant – “Statistics” 2010Provided tutoring, graded exams, provided content for exams
RELATED EXPERIENCEGraduate Student AssistantData Analysis Assistance 2015-2016Assisted a graduate student with creating her thesis project. Helped her develop hypotheses, implement methodology, create surveys based on the literature, and analyze her results.
Recovery is Happening, Rochester, MNVolunteer 2015Created a Recovery Service Score (RSS) for providers of Rochester, MN. Utilized Lee’s (n.d.) dimensions of recovery and rules for successful recovery and SAMHSA’s (2012) working definition of recovery as theoretical framework to guide methodology, results, and implications.
Bear Creek Services, Rochester, MNProgram Manager 2013 – 2015Developed and implemented independent living skills for people with intellectual disabilities and mental health issues. Performed program evaluation to inform improvements on the program. Utilized surveys, observation techniques, Likert-type scales, repeated measures t-tests, and analysis of variance.
Diversity Council, Rochester, MNIntern 2010 – 2010Assisted education program director with the development and distribution of surveys, targeting adolescents ages 12-18 in the public school system. The surveys were meant to gather feedback from the students as to whether they thought the Diversity Council’s education programming was meaningful. Conducted data analysis when surveys were completed; created graphs and tables to present to the Diversity Council’s executive director.
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LANGUAGES
[English – native language]
MEMBERSHIPSAmerican Psychological AssociationMN Psych AssociationAssociation of Counselors National Education and Research AssociationAmerican Public Health Association
PLEASE SEE BELOW FOR EXAMPLES OF WORK:
Example 1: Excerpts from Stanton, M. (2016). Quantitative Research Plan: Spontaneous Coronary Artery Dissection
(SCAD) and Body Image, pp. 3-12.
Example 2: Excerpts from Data Analysis for a Graduate Student, pp. 13-25.
Example 3: Excerpts from Assessment Proposal for Recovery is Happening, 25 July 2015, pp. 26-45.
Example 4: Excerpts from Work at Bear Creek Services Independent Living Skills Program, pp. 45-52
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Example 1
Excerpts from Stanton, M. (2016). Quantitative Research Plan: Spontaneous Coronary Artery Dissection (SCAD) and Body
Image
IntroductionOpening Statement
Spontaneous Coronary Artery Dissection (SCAD) is a rare cardiovascular condition that causes myocardial
infarction (MI) and mostly occurs in younger (< 50 years of age) women (Tweet et al., 2012; Alfonso et al., 2012; Vanzetto
et al., 2009), although the true occurrence rate is still relatively unknown (Tweet et al., 2012). The re-occurrence of SCAD
is also unknown, but several studies indicate that this rate is relatively high (Puck et al., 2012; Nakashima et al., 2016).
Scientists have proposed several physiological risk factors of SCAD for women in particular; however, little (if no) studies
exist on the psychosocial risk factors. This study will attempt to determine if one particular psychosocial concept is a risk
factor of SCAD.
Problem Statement
We do not know the relationship between women who have had a SCAD-related MI, men who have had a SCAD
event, and women who have had a non-SCAD related MI on four measures of body image.
Purpose/intent of the study.
The purpose of this study is to uncover relationships (Newman, Ridenour, Newman, & DeMarco, 2003).
Specifically, the purpose of this experimental/quasi-experimental between-groups posttest-only control group and
contrasted groups factorial study is to examine the relationship between MI types, gender, and body image, controlling for
age and race of cardiac patients at various locations. Furthermore, secondary purposes of this study are to add to the
existing knowledge base and generate future hypotheses (Newman et al., 2003).
Research Design
Variables.
There will be two independent variables with two levels each: type of MI (SCAD and non-SCAD) and biological
sex (female and male). The dependent variable will be defined as scores on four measures of body image. The control
variables will be defined as age and race.
Research Question(s)
What relationships exist between women who have had a SCAD-related MI, men who have had a SCAD-related
MI, and women who have had a non-SCAD related MI and body-image on four measures of body image?
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Null and alternative hypotheses.
Hypothesis 1:
H0: There is no significant difference between women who have had a SCAD-related MI, men who have
had a SCAD-related MI, and women who have had a non-SCAD related MI and body-image on four measures of body
image, controlling for age and race.
H1: There is a significant difference between women who have had a SCAD-related MI, men who have
had a SCAD-related MI, and women who have had a non-SCAD related MI and body-image on four measures of body
image, controlling for age and race.
Hypothesis 2:
H0: There is no significant difference between women who have had a SCAD-related MI and men who
have had a SCAD-related MI and body image on four measures of body image, controlling for age and race.
H1: There is a significant difference between women who have had a SCAD-related MI and men who
have had a SCAD-related MI and body image on four measures of body image, controlling for age and race.
Hypothesis 3:
H0: There is no significant difference between women who have had a SCAD-related MI and women who
have had a non-SCAD related MI and body image on four measures of body image, controlling for age and race.
H1: There is a significant difference between women who have had a SCAD-related MI and women who
have had a non-SCAD related MI and body image on four measures of body image, controlling for age and race.
Nature of the Study
Design & Rationale (Stanton, 2016b)
The classic experimental and Solomon four-group methods are inappropriate for my study for the following
reasons: I cannot manipulate the independent variable (e.g., induce cardiac events in participants); I do not plan on
randomly assigning participants to different groups because I want to evaluate the differences in body image perception
between SCAD and non-SCAD MI participants, as well as the differences between male and female SCAD and non-SCAD
participants; and I do not plan on administering a pre-test to the participants. The preexperimental designs are also
inappropriate for my research because I plan on having control and experimental groups and I plan on using control
procedures. The survey design would also be inappropriate for my study because again, I will not be randomly assigning
participants to the control and experimental groups.
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The planned variation, panel, time-series, and control-series designs are inappropriate for my study for the
following reasons: I cannot vary the magnitude of SCAD or non-SCAD cardiac event occurrence between the experimental
and control groups; I cannot compare before and after body image perception measurements because my participants will
have already experienced a SCAD or non-SCAD cardiac event; and at this time, I do not plan on taking multiple
measurements across time.
There are four remaining quantitative designs that I have considered for my research study. Since the purpose of
my study is primarily to test my hypotheses and uncover relationships (Newman et al, 2003), a cross-sectional design may
be appropriate. However, this type of design is one of the weaker quasi-experimental designs. The contrasted groups design
may be appropriate for my study because it will have categoric groups (Frankfurt-Nachmias et al, 2015a) with participants
having cardiac events (experimental groups) in common. I would be unable to utilize the more sophisticated contrasted
groups design (nonequivalent control group) because I will not be administering a pre-test. The design I will be using is a
combination of experimental and quasi-experimental approaches; a between-groups posttest-only control group and
contrasted groups factorial design. The posttest-only control group design fits under the true experiment category, while a
factorial design fits under both the true experiment and quasi-experimental categories. This type of design does not include
a pre-test, which boosts internal validity (Frankfurt-Nachmias et al, 2015a). Furthermore, I have two independent variables
(cardiac event type and gender) that each has two different dichotomous levels (SCAD vs. non-SCAD, male vs. female),
making a factorial design feasible (see Table 1 for hypothetical factorial design layout). I will not be administering a
treatment per se and complete random assignment is not possible with my study because participants’ pre-existing
characteristics determine which experimental group they belong to, so this design does not fit all of the criteria for a true
experiment. I plan on matching participants in the experimental and control groups based on similar characteristics such as
age and race. Furthermore, my control group will contain men and women who have not experienced any type of cardiac
event and who possess similar characteristics in regards to age and race with the experimental group participants.
Methodology
Sampling
Type of sampling.
My sampling unit (Frankfort-Nachmias et al., 2015b) is a Caucasian or African American woman or man between
the ages of 40 and 59 who lives in the United States and has experienced a non-SCAD related MI, a SCAD related MI, or
neither a MI nor a diagnosis of coronary heart disease. My sampling frame (Frankfort et al., 2015b) would ideally be a list
of all people living in the United States, separated by gender, age, and race. However, this will not be possible. Therefore, I
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plan on using a variety of online sources as my sampling frame. Online sources (to draw samples for women with SCAD-
related MI, non-SCAD related MI and men with SCAD-related MI) will include Facebook support groups (e.g., SCAD at
Mayo Clinic (2016), SCAD Survivor Support Together We Thrive (2016) , SCAD Alliance (2016), Heart Foundation
(2016), Society for Vascular Medicine (2016), and Beat SCAD UK (2016)), reputable internet support groups and pages
(The National Coalition for Women with Heart Disease (2016), Black Women’s Health Imperative (2016), Office of
Women’s Health, U.S. Department of Health and Human Services (n.d.), Heart Sisters (Thomas, 2016), Mended Hearts
(2016), and American Heart Association (2016b), and patient registries. I do not want to limit my sampling frame to people
only in my community or state because online sources do not include only people in one state, but from around the world.
This may pose a problem, however, because not everyone has access to the internet or has interest in joining online pages
or support communities, which introduces the problem of incomplete frames (Kish, 1965). Therefore, I will attempt to use
in-person support groups and supplemental lists to ensure I reach as many people as possible (Frankfort-Nachmias et al.,
2015a). In-person support groups that I have access to are Mayo Clinic’s Cardiovascular Rehab Clinic (2016) and
WomenHeart of Southeast Minnesota (The National Coalition for Women with Heart Disease, 2016). Supplemental lists
may include the Mayo Clinic’s SCAD Research Program Registry (Mayo Clinic, n.d.) or the U.S. Registry for
Fibromuscular Dysplasia (an underlying condition of SCAD) (Fibromuscular Dysplasia Society of America, 2013). I
anticipate that I may not gain access to these lists, due to HIPAA.
How the sample will be drawn (Stanton, 2016c).
The first step in identifying a sample design is determining whether one can use a probability or a nonprobability
sample. A probability sample is “distinguished by the ability to specify the probability at which each sampling unit of the
population will be included in the sample…all units of a population have the same probability of being included…”
(Frankfort-Nachmias et al., 2015b, p. 148). Because I will be using internet sites and Facebook groups, I know that every
person who has experienced a SCAD or non-SCAD relationship does not have an equal likelihood of being included in my
sample. Therefore, I will be using a nonprobability sample in which “there is no assurance that every unit has some chance
of being included” (Frankfort-Nachmias et al., 2015b, p. 148). Although nonprobability samples are less representative of
the population, researchers can use them when the exact parameters of the population of interest cannot be defined
(Frankfort-Nachmias et al., 2015b).
Nonprobability sampling designs include convenience, snowball, purposive, and quota samples (Frankfort-
Nachmias et al., 2015b). Researchers use convenience samples by recruiting participants from easily accessed or readily
available locations (Frankfort-Nachmias et al., 2015b). Although I live in the same town as the Mayo Clinic, I do not want
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all of my participants to be from Mayo, so I will not be using convenience sampling. Researchers use snowball samples
when they want to recruit participants in “hidden” populations (Frankfort-Nachmias et al., 2015b, p. 148). A specific
subtype of snowball sampling is respondent driven sampling (11), in which researchers assess recruitment networks to
further identify other participants. Although I could argue that people who experience SCAD related heart attacks are rare
or hidden because of the high occurrence of misdiagnosis, this isn’t necessarily grounds for using a snowball sampling
design, because they aren’t hiding for legal or safety reasons. Researchers use quota samples when they want their sample
to reflect the population (Frankfort-Nachmias et al., 2015b). I would like to have my sample be representative of the
African and Caucasian American population for the control group in terms of gender. I would also like my sample to be
representative of the African and Caucasian American population who experiences both SCAD and non-SCAD related MI
in terms of gender. However, I do not necessarily need to represent the SCAD and non-SCAD related MI population in
terms of age. This is because the majority of people who experience a SCAD related MI are between the ages of 20 and 50,
so I want to focus on that particular age group. Finally, a purposive sample involves a researcher using his/her judgment to
select a sample that appears to be representative of the intended population (Frankfort-Nachmias et al., 2015b). This is the
type of sampling design that I wish to use because I will be actively recruiting participants from websites, Facebook groups,
and registries. I aim to select a representative number of women and men, as well as a representative number of Caucasian
American and African American people.
Sample size and why chosen in relation to population size (Stanton, 2016c).
Researchers must carefully select the size of their samples if they wish to generalize their results to the larger
population (Burkholder, n.d.). To calculate a sample size, social scientists use statistical power, alpha, and effect size
(Burkholder, n.d.). To estimate the size of the sample I will need for my study, I will use the accepted power level of .80
and the standard alpha level of =.05 (Burkholder, n.d.). Finally, since I plan on using a factorial ANOVA to determine if
my results are statistically significant, I will anticipate a small effect size of R2 = .04 (Burkholder, n.d.). Using Burkholder’s
(n.d.) Analysis of Variance table recommendation, with k=4, my sample size should be n=67. If I anticipate a medium
effect size of R2 = .08, my sample size should be n=33. If I anticipate a large effect size of R2 = .20, my sample size should
be n=12. Furthermore, if I wanted to increase my statistical power, I could use an alpha level of = .01 (Gravetter &
Wallnau, 2007a), my sample sizes would need to be larger. Another issue I will need to be aware of is nonresponse error,
which occurs when participants do not return surveys or refuse to participate after committing to a study (Frankfort-
Nachmias et al., 2015b). The higher the nonresponse rate, the greater the bias and measurement error (Frankfort-Nachmias
et al., 2015b). I can determine my nonresponse rate after I my data collection is completed. Furthermore, I can set a
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response rate “goal” by utilizing Frankfort-Nachmias et al’s (2015b) response rate equation. If I want my nonresponse rate
to be 5% with a sample size of n=67, the number of responses I must obtain is r= ~64.
Instrumentation and Materials
Identify instrument (Stanton, 2016d).
Currently, I have selected four instruments to use in my research, all of which are criterion-referenced because
their developers compared them to other measures of body image disturbance and other negative body image or eating
disorder criteria, rather than comparing the test takers along some ranking system (Fairtest, The National Center for Fair
and Open Testing, 2007). Although each of these instruments demonstrates moderate to high reliability and validity
coefficients, they have been tested only on younger men and women who may or may not have cardiovascular problems.
To ensure reliability and validity in my research, I will need to demonstrate that these instruments are appropriate to use
with my population.
Data Analysis Plan
Analytical Tools
I will calculate the following descriptive statistics for the results of the BI-AAQ (Sandoz et al., 2013); BIDQ (Cash
et al., 2004a), BAS-2 (Tylka et al., 2015a), and BEECOM (Fitzsimmons et al., 2012a): Mean and standard deviation. The
mean and standard deviation are appropriate central tendency measures because the scores on each of the four assessments
are at the interval-level of measurement (Frankfort-Nachmias et al., 2015c). If outliers do not exist (Frankfort-Nachmias et
al., 2015e), I may also calculate the range, minimum, and maximum. The median and the mode will likely not reveal
important information, as these measures are more appropriate for nominal and ordinal data (Frankfort-Nachmias et al.,
2015e).
For my quantitative analysis, I plan on using factorial analysis of variance (ANOVA) procedures because I have
more than two independent variables and one dependent variable (Burkholder, n.d.). Furthermore, I want to examine the
individual and interaction effects of multiple factors within my two independent variables (Warner, 2013). The assumptions
of a factorial ANOVA are: 1) the outcome variable is continuous and normally distributed and 2) the populations from
which the samples are drawn have equal variances (Warner, 2013). Additionally, it is desirable if the number of groups
(factors within the independent variables) is not overly large and if the number of observations within each factor are equal
(Warner, 2013). However, if the number of observations within each factor cell is not equal, an orthogonal factorial
ANOVA can be calculated (Warner, 2013). My independent variables are MI type (IV 1) and gender (IV 2). SCAD MI is
factor A1 and non-SCAD MI is factor A2. Male gender is factor B1 and female gender is factor B2. Thus, I will be using a 2
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x 2 factorial ANOVA to predict body image from MI type (factor A), gender (factor B), and the interaction between factor
A and B. My null and alternative hypotheses are as follows:
H0A: A1 = A2 (no significant difference between populations on factor A; in other words, no main effect for factor
A; Warner, 2013)
H1A: A1 A2
H0B: B1 = B2 (no main effect for factor B)
H1B: B1 B2
H0: No A x B interaction (Warner, 2013)
H1: There is an interaction between factors (Gravetter & Wallnau, 2007b).
Ethical Concerns
According to the American Psychological Association’s (APA; 2010) code of conduct, researchers must follow the
five main principles of beneficence and nonmaleficence (benefit and do no harm), fidelity and responsibility (build and
maintain trusting relationships, avoid exploitation), integrity (avoid cheating, plagiarism, fraud), justice (awareness of
inequities and personal biases), and respect for people’s rights and dignity. Potential ethical concerns I may need to address
are ensuring anonymity to participants, maintaining data confidentially for a period of time (Creswell, 2009b), and avoiding
deception without giving away the hypotheses of the study (APA, 2010). I will be able to ensure confidentiality through the
use of a thorough informed consent form, detailed below. I will maintain data for a lengthy period of time, as suggested by
my committee members. Finally, I will be upfront with the participants about the purpose of the research, specifically
informing them that I am studying how weight, body image, and exercise affects people who have experienced a heart
attack.
Significance of the Study
Practical Contributions
The practical contributions to this study include: 1) establishing the reliability and validity of the BI-AAQ, BIDQ,
BAS-2, and BEECOM with patients who have experienced a SCAD or non SCAD-related MI; 2) identifying whether body
image intervention should be a part of the SCAD MI recovery process; and 3) initiating further research on body image and
other psychosocial factors within the SCAD MI population. If this study shows no relationship between body image and
SCAD MI, it will, at the very least, establish a starting point of the reliability and validity of the various measurement
instruments in a clinical population. If this study shows a relationship between body image and SCAD MI, perhaps
clinicians will consider integrating body image interventions or psychosocial education within the treatment model for
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SCAD-MI patients. Finally, regardless of whether this study shows a significant relationship between body image and
SCAD-MI, it will hopefully encourage other researchers to evaluate psychosocial factors in relation to health issues.
For Whom the Study is Important
This study is important to medical and psychological researchers. As stated above, researchers have found some
physiological associations with SCAD MI; however, research on the psychosocial links are few, even nonexistent.
Hopefully this study will enhance the existing knowledge base and encourage medical and psychological researchers to
continue collaborative research efforts. More importantly, this study will hopefully be important to SCAD MI patients and
their families. The ambiguous nature of SCAD, the uncertainties regarding recurrence, and the feelings of lack of control
over outcomes can have a negative impact on patients and their families. The more research that is devoted to this issue, the
more the scientific community can enhance patient outcomes and hope for the future.
Implications for Social Change
Orth-Gomer et al. (2009) implemented the Stockholm Women Intervention Trial for Coronary Heart Disease
(SWITCHD) in a sample of 250 female patients with CHD, which included stress reduction and behavioral modification
programs. Orth-Gomer et al. (2009) found that those in the intervention group, as opposed to those in the control group, had
significantly lower rates of acute MI, cardiovascular disease related death, and overall mortality. In another study, 2,481
post MI patients underwent cognitive behavioral therapy, which reduced their depressive symptoms, but only reduced
cardiovascular-related mortality in White men (The ENRICHD investigators, 2000). Schneiderman et al. (2004) then called
for researchers to develop and study interventions specifically tailored to women and other minorities. Thus, programs that
not only focus on the physiological risk factors of cardiovascular problems, such as SCAD-related MI’s, can be useful in
preventing recurrence and death, especially among women.
Another implication of this study is that it will continue the conversation surrounding societal norms and
expectations about women’s bodies. The Boston Women’s Health Collective (2011) described women’s body image as the
criticism continuum, with societal pressure to “look pretty” starting when we are very young and extending throughout the
lifetime with advertisements for Botox and the myriad of cosmetic products, exercise routines, and diets. Researchers have
been identifying interventions and strategies to promote positive body image, such as the acceptance model (Hahn,
Wiseman, Hendrickson, Phillips, & Hayden, 2012) and embodiment activities (Menzel & Levine, 2011). If this study
demonstrates a relationship between negative body image and SCAD MI, perhaps this will propel the direction of body
image research toward a societal paradigm shift in attitudes about women’s bodies.
Please inquire to obtain full reference list.
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Table 1
2x2 Factorial Design Layout
Independent Variable 2: Cardiac Event Type
Independent Variable 1: Biological Sex
Male Female
SCAD Experimental Group 1:
male SCAD patients
Experimental Group 2:
female SCAD patients
Non-SCAD Experimental Group 3:
male non-SCAD related
MI patients
Experimental Group 4:
female non-SCAD
related MI patients
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Table 2
Campbell & Fiske’s (1959) Multitrait-Multimethod Matrix with Hypothetical Validity Coefficients
Methods BI-
AAQ
BAS-2 BIDQ
Traits SW SM SC SW SM SC SW SM SC
BI-AAQ SW (1)
SM .5 (1)
SC .4 .4 (1)
BAS-2 SW .6 .2 .1 (1)
SM .2 .6 .1 .7 (1)
SC .1 .1 .5 .6 .6 (1)
BIDQ SW .6 .2 .1 .7 .4 .3 (1)
SM .3 .6 .1 .4 .7 .3 .7 (1)
SC .1 .1 .5 .3 .3 .6 .6 .6 (1)
Note. Values in parentheses are reliability values; values in red are validity values. Bolded values represent heterotraits
measured by the same method; italicized values represent heterotraits measured by different methods. SW = female patients
with SCAD, SM = male patients with SCAD, SC = all patients with non-SCAD cardiac events; BI-AAQ = Body Image
Acceptance and Action Questionnaire, BAS-2 = Body Appreciation Scale-2, BIDQ = Body Image Disturbance
Questionnaire.
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Example 2
Excerpts from Data Analysis for a Graduate Student
The baseline demographics were as follows: among the 11 participants that were probation officers, 36% were
male and 64% were female; the remaining characteristics of education, employment status, and wages were similar. Two of
the probation officer participants dropped out of the study before cycle two commenced. Among the eight participants that
were managers, 25% were male and 75% were female; the remaining characteristics of education, employment status, and
wages were similar. All eight of the managers were able to complete all four questionnaires administered during cycle one
and cycle two.
Main Analyses:
H0: There is no difference between collaboration scores before or after M4R implementation. Therefore, in the general
population, there is no tendency for the difference scores to be either systematically positive or systematically negative.
(e.g., Internal collaboration does not significantly change after M4R implementation).
H1: There is no difference between collaboration scores before or after M4R implementation. Therefore, in the general
population, there is no tendency for the difference scores to be either systematically positive or systematically negative.
(e.g., Internal collaboration does significantly change after M4R implementation).
Probation officers’ endorsements to each item on the collaboration questionnaire were summed to produce a total
collaboration score. The maximum total collaboration score was 40 (10 questions x largest Likert item selection of 4; see
Figure 1). 54% of the probation officers’ total collaboration scores increased after M4R implementation. Because Likert-
type items are considered ordinal, rather than interval measurements (Frankfort-Nachmias, Nachmias, & DeWaard, 2015),
quartiles and medians were reported. 25% of the probation officers’ total collaboration scores were 27 or below and 32 or
below, before and after M4R implementation, respectively. The median of all total collaboration scores was 33.00 both
before and after M4R implementation. 75% of the probation officers’ total collaboration scores both before and after M4R
implementation were 34 or below (see Table 1).
A Wilcoxon test was conducted to evaluate whether probation officers endorsed more collaboration, as measured
by their total collaboration scores, after four weeks of M4R implementation. Although the mean rank of the total
collaboration scores after M4R implementation (7.17) was greater than the mean rank of the total collaboration scores
before M4R implementation (4.60, see Table 2 and see Table 3 for an example of the ranking system for the Wilcoxon
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test), the results of the Wilcoxon test indicated no significant difference, z = -.892, p = .373 (see Table 4). Thus, my first
hypothesis that M4R would increase internal collaboration is not supported.
Table 1
Descriptive Statistics of Total Collaboration Scores Before and After M4R Implementation
N
Percentiles
25th 50th (Median) 75th
BeforeM4R 11 27.00 33.00 34.00
AfterM4R 11 32.00 33.00 34.00
Table 2
Mean Ranks of Total Collaboration Scores Before and After M4R Implementation
N Mean Rank Sum of Ranks
AfterM4R - BeforeM4R
Negative Ranks 5a 4.60 23.00
Positive Ranks 6b 7.17 43.00
Ties 0c
Total 11
Note. aAfter M4R < Before M4R. bAfter M4R > Before M4R. cAfter M4R = Before M4R
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Table 3
Example of Ranking Difference Scores for a Wilcoxon Test Using Total Collaboration Scores Before and After M4R
Implementation
Before M4R After M4R Difference Score Rank
33 34 1 2
33 32 -1 2
33 40 7 10
37 36 -1 2
27 33 6 9
31 34 3 6.5
34 32 -2 4.5
24 34 10 11
26 28 2 4.5
37 33 -5 8
33 30 -3 6.5
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Table 4
Results of Wilcoxon Test to Evaluate Differences in Total Collaboration Scores Before and After M4R Implementation
AfterM4R - BeforeM4R
Z -.892b
Asymp. Sig. (2-tailed) .373
Note. bBased on negative ranks.
Prob Office
r 1
Prob Office
r 2
Prob Office
r 3
Prob Office
r 4
Prob Office
r 5
Prob Office
r 6
Prob Office
r 7
Prob Office
r 8
Prob Office
r 9
Prob Office
r 10
Prob Office
r 11
0
5
10
15
20
25
30
35
40
Total Collaboration Scores Before and After M4R
Before M4R After M4R
Figure 1. Total collaboration scores for each probation officer was calculated by summing their endorsement selections on
each test item. The total possible score was 40.
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Another consideration was given to probation officers’ total collaboration scores before cycle one and before cycle
two because a four-week break occurred between the end of cycle one and the beginning of cycle two. The probation
officers may have needed time after the M4R intervention to accurately assess their level of internal collaboration. The
caveat of this analysis is that the sample sizes between cycles 1 and 2 were unequal. 25% of the probation officers had total
collaboration scores of 27 or below and 29.5 or below, after cycle one and before cycle two, respectively. The median of
the total collaboration scores after cycle one and before cycle two were 33 and 35, respectively. Finally, 75% of the
probation officers had total collaboration scores of 34 and 36.5 after cycle one and before cycle two, respectively (see Table
8).
A Wilcoxon test was conducted to evaluate whether probation officers endorsed more collaboration, as measured
by their total collaboration scores, before cycle two. Although mean rank of the total collaboration scores before cycle two
(4.83) was greater than the mean rank of the total collaboration scores before cycle one (3.50, see Table 9) and the
difference between the total collaboration scores (e.g., the difference between positive ranks and negative ranks) before
cycle one and cycle two were larger compared to the previous analyses, results of the Wilcoxon test indicated no significant
difference, z = -1.54, p = .123 (see Table 10). Figure 3 supports this finding as well.
Table 8
Descriptive Statistics of Total Collaboration Scores Before Cycle One and Before Cycle Two
N
Percentiles
25th 50th (Median) 75th
PO Collaboration Score Before
Cycle 1
11 27.0000 33.0000 34.0000
PO Collaboration Score Before
Cycle 2
9 29.5000 35.0000 36.5000
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Table 9
Mean Ranks of Total Collaboration Scores Before Cycle One and Before Cycle Two
N Mean Rank Sum of Ranks
PO Collaboration Score
Before Cycle 2 - PO
Collaboration Score Before
Cycle 1
Negative Ranks 2a 3.50 7.00
Positive Ranks 6b 4.83 29.00
Ties 1c
Total 9
Note. aBefore Cycle 2 < Before Cycle 1. bBefore Cycle 2 > Before Cycle 1. cBefore Cycle 2 = Before Cycle 1.
Table 10
Results of Wilcoxon Test to Evaluate Differences in Total Collaboration Scores Before Cycle One and After Cycle Two
PO Collaboration Score Before Cycle 2 - PO Collaboration Score Before Cycle 1
Z -1.544b
Asymp. Sig. (2-tailed) .123
Note. bBased on negative ranks.
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Prob Office
r 1
Prob Office
r 2
Prob Office
r 3
Prob Office
r 4
Prob Office
r 5
Prob Office
r 6
Prob Office
r 7
Prob Office
r 8
Prob Office
r 9
Prob Office
r 10
Prob Office
r 11
0
5
10
15
20
25
30
35
40
Total Collaboration Scores Before Cycle 1 and Before Cycle 2
PO Before C1 PO Before C2
Figure 3. Total collaboration scores for each probation officer was calculated by summing their endorsement selections on
each test item. The total possible score was 40. Probation officer 10 and probation officer 11 dropped out of the study
before cycle two.
Managers of the probation officers who participated in this study were given a separate questionnaire about their
expectations and observations of internal collaboration before and after M4R implementation. Managers’ endorsements to
each item on the expected collaboration questionnaire were summed to produce a total expected collaboration score. The
maximum total collaboration score was 40 (10 questions x largest Likert item selection of 4; see Figure 5). 25% of the
managers’ expected collaboration scores increased after M4R implementation, while 25% of the managers’ expected
collaboration scores remained the same. 25% of the managers’ expected collaboration scores before and after M4R
implementation were 30.25 or below. The median of all expected collaboration scores before and after M4R
implementation were 32 and 31.50, respectively. 75% of the managers’ expected collaboration scores both before and after
M4R implementation were 33 or below (see Table 14).
A Wilcoxon test was conducted to evaluate whether managers endorsed more collaboration, as measured by their
expected collaboration scores, after four weeks of M4R implementation. Although the mean of the ranks after M4R
implementation (4.50) was higher than the mean of the ranks before M4R implementation (3.00; see Table 15), the results
of the Wilcoxon test indicated no significant difference, z = -.333, p = .739 (see Table 16).
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Table 14
Descriptive Statistics of Managers’ Expected Collaboration Scores Before and After M4R Implementation
N
Percentiles
25th 50th (Median) 75th
Before M4R 8 30.25 32.00 33.00
After M4R 8 30.25 31.50 33.00
Table 15
Mean Ranks of Managers’ Expected Collaboration Scores Before and After M4R Implementation
After M4R - Before M4R
Negative Ranks 4a 3.00 12.00
Positive Ranks 2b 4.50 9.00
Ties 2c
Total 8
Note. aAfter M4R < Before M4R. bAfter M4R > Before M4R. cAfter M4R = Before M4R
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Table 16
Results of Wilcoxon Test to Evaluate Differences in Managers’ Expected Collaboration Scores Before and After M4R
Implementation
After M4R - Before M4R
Z -.333b
Asymp. Sig. (2-tailed) .739
Note. bBased on positive ranks.
Mngr 1 Mngr 2 Mngr 3 Mngr 4 Mngr 5 Mngr 6 Mngr 7 Mngr 80
5
10
15
20
25
30
35
40
Expected Collaboration Scores Before and After M4R
Before M4R After M4R
Figure 5. Total expected collaboration scores for each manager was calculated by summing their endorsement selections on
each test item. The total possible score was 40.
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Spearman correlation coefficients were computed among probation officers’ total collaboration scores and
managers’ expected collaboration scores before and after M4R implementation. The results of the analysis presented in
Table 20 show that 1 out of 10 correlations was statistically significant, r = .804, p < 0.05. This significant finding only
demonstrated the relationship between managers’ expected collaboration scores before and after M4R implementation; the
absence of other significant correlations and the scatterplot in Figure 7 might suggest that probation officers’ perceptions of
collaboration are independent of their managers’ perceptions of collaboration, regardless of M4R implementation.
Table 20
Spearman Correlation Coefficients Between PO Total Collaboration Scores and Manager Expected Collaboration Scores
Before and After M4R Implementation
PO Before M4R Mngr Before M4R PO After M4R Mngr After M4R
Correlation
Coefficienta
1.00 .26 .09 .25
Correlation
Coefficientb
.26 1.00 .08 .80*
Correlation
Coefficientc
.09 .08 1.00 .34
Correlation
Coefficientd
.25 .80* .34 1.00
Note. *Correlation is significant at the 0.05 level (2-tailed). aPO Before M4R. bMngr Before M4R. cPO After M4R. dMngr
After M4R.
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Figure 7. Correlation matrix showing no significant relationships between probation officers’ total collaboration scores and
managers’ expected collaboration scores, both before and after M4R implementation.
Finally, Spearman correlation coefficients were computed among probation officers’ total collaboration scores
before cycle one and after cycle two and managers’ expected collaboration scores before cycle one and after cycle two. The
results of the analysis presented in Table 22 one significant correlation between the probation officers’ total collaboration
scores after cycle two and the managers’ expected collaboration scores before cycle one, r = -.813, p < .05. This result is
interesting because as a manager’s expected collaboration score before intervention increased, a probation officer’s total
collaboration score after intervention decreased. This negative association is presented in Figure 9. Perhaps a manager with
high expectations that a collaboration intervention will increase internal collaboration amongst his/her employees explicitly
or implicitly “over-advertises” the intervention, which may negatively affect employees’ overall feelings of internal
collaboration within their organization.
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Table 22
Spearman Correlation Coefficients Between PO Total Collaboration Scores and Manager Expected Collaboration Scores
Before Cycle 1 and After Cycle 2
PO Before C1 PO After C2 Mngr Before C1 Mngr After C2
Correlation
Coefficienta
1.00 -.04 .26 -.29
Correlation
Coefficientb
-.04 1.00 -.81* .17
Correlation
Coefficientc
.26 -.81* 1.00 -.05
Correlation
Coefficientd
-.29 .17 -.05 1.00
Note. aPO Before Cycle 1. bPO After Cycle 2. cMngr Before C1. dMngr After C2. *Correlation is significant at the 0.05
level (2-tailed).
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Figure 9. Scatterplot of the significant negative relationships between managers’ expected collaboration scores before cycle
one and probation officers’ total collaboration scores after cycle two.
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Example 3
Excerpts from Assessment Proposal for Recovery is Happening, 25 July 2015
Measurement 1:
1. Develop a measurement to compare providers with each other regarding how well they are providing services that align with SAMHSA’s eight dimensions of wellness and ideals for and access to recovery initiative
2. Goal: Making sure people have access to the most services3. Target: Service Providers, Other Professionals, and Individuals in Recovery in Rochester, MN4. Expectation: Gather usable data to present to treatment providers to represent recovery services for individuals
Creation of Recovery Service Scores to Evaluate Providers
Measurements:
1. How providers are doing in regards to providing services that align with SAMHSA’s eight dimensions of wellness and ideals of recovery
2. How providers compare with other providers3. How providers’ claims compare with individuals’ and other professionals’ experiences
The Recovery Service Score (RSS) is measured using SAMHSA’s (2015) eight dimensions of wellness, SAMHSA’s (n.d.) ideals of recovery, and SAMHSA’s (2003) recovery support services recommendations.
SAMHSA’s Eight Dimensions of Wellness:
1. Emotional: Coping effectively; creating and maintaining satisfying relationships2. Environmental: Pleasant, stimulating environments that support well-being3. Financial: Individual comfort with providing for self and family financially4. Intellectual: Using creative abilities; expanding knowledge and skills5. Physical: Engaging in physical activity, healthy eating, sufficient sleep6. Social: Having a sense of connection and belong, as well as a developed positive support system7. Spiritual: Having a sense of purpose and meaning in life
Recovery Service Score (RSS)
14 Ideals for Recovery and
Access to Recovery Initiative
8 Dimensions of Wellness
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SAMHSA’s Ideals for and Access to Recovery Initiative:
1. Housing (HOUSE): Provide referrals to housing resources, provide housing resources (deposits, first month rent), provide housing while individual is looking for independent housing
2. Transportation (TRANSP): Provide free transportation to and from treatment groups; provide cab or bus vouchers; provide referrals to transportation resources; initiate volunteer drivers or ride shares
3. Basic Needs (BASIC): provide resources on how to attain basic needs; provide education on how to attain basic needs; provide vouchers for basic needs; provide basic needs while in treatment; provide referrals to agencies that can provide basic needs
a. Basic needs: food, clothing4. Parent Training (PARENT): provides parent training through the program; provides referrals to parent training
resources; provides parent training resources5. Child Care (CHILD): provides child care while individual attends outpatient services; provides vouchers for child
care; provides resources for childcare; provides referrals for child care assistance6. Vocational (VOC): provides job training; provides referrals to vocational resources; provides employment while in
treatment7. Life Skills (LIFE): provides education on independent living skills; provides referrals to ILS classes or other
resources; provides staff to assist with ILS in the individual’s homea. ILS: cooking, cleaning, money management, medication management, transportation, organization,
planning, making appointments for self and others8. Legal (LEGAL): provides support for individual dealing with legal matters; provides referrals to legal resources;
cooperates and collaborates with legal professionals if applicable9. Peer Support (PEER): the program has built in aspect of peer support; the program provides resources for peer
support; the program refers to other groups with peer support; the program encourages peer support10. Aftercare (AFTER): Program provides extended aftercare including individual and group therapy, medication
monitoring, drug or alcohol testing, medical care, home visits, psychoeducation11. Community Based (COMM): program encourages community living and reintegration; program assists individual with reintegration after inpatient treatment or during/after outpatient treatment; program provides referrals for reintegration assistance12. Assessment (ASSESS): psychological, drug testing services are done on site; provide referrals to testing services; provide resources for testing services13. Multiple Pathways (MULT): program encourages more than one pathway for recovery; program does not subscribe to one treatment method only (i.e. 12 step, religious, abstinence, harm reduction); program provides resources for alternative treatments14. Holistic (HOL): program addresses all individual’s needs – mind, body, spirit; program provides referrals to holistic programs
Within each dimension of wellness, the ideals and recovery support services are used to describe the dimensions further. As shown in Table 1, some categories are “weighted” less, depending on which dimension they are under because some categories are fundamental to the wellness dimension (heavier weight); others are “essential, but not necessary” (medium weight), and still others are “neither essential nor necessary, but nice to have” (low weight).
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Table 1
Weighted Scores Along SAMHSA’s Eight Dimensions of Recovery
Emotional
Environmental
Financial
Intellectual
Occupational
Physical Social Spiritual
Heavier Wt
COMM
MULT
HOUSE
TRANSP
HOUSE
TRANSP
BASIC
VOC
PARENT
VOC
LIFE
COMM
TRANSP
BASIC
CHILD
VOC
COMM
HOL
BASIC
PARENT
MULT
HOL
PARENT
CHILD
VOC
LEGAL
PEER
COMM
VOC
LIFE
LEGAL
PEER
COMM
MULT
HOL
Medium Wt
LIFE
PEER
AFTER
PARENT
VOC
HOL
PARENT
CHILD
VOC
LIFE
LEGAL
COMM
BASIC
COMM
MULT
HOL
LIFE
LEGAL
TRANSP
HOL
BASIC
PEER
MULT
LIFE
LEGAL
MULT
AFTER
VOC
LIFE
PEER
AFTER
TRANSP
LIFE
AFTER
HOL
PARENT
AFTER
Low Wt HOUSE
TRANSP
BASIC
CHILD
LEGAL
ASSESS
PEER
AFTER
ASSESS
MULT
HOL
PEER
PARENT
CHILD
AFTER
ASSESS
LEGAL
AFTER
HOUSE
CHILD
ASSESS
PEER
PARENT
ASSESS
HOUSE
CHILD
COMM
HOUSE
TRANSP
LEGAL
ASSESS
HOUSE
MULT
ASSESS
BASIC
HOUSE
TRANSP
BASIC
CHILD
ASSESS
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The RSS for SAMHSA Ideals:
1. Each of the above ideals is rated on a scale of 1 to 4a. 1: none (resource is not available, recommended, referred)b. 2: resource is inside the facility but requires additional referral; OR resource is outside the facility and
agency refersc. 3: resource is within the facility and accessible to individual (without referral)d. 4: resource is built into the program
2. Each ideal has a high score of 4 and a low score of 13. Each ideal is added to yield a total RSS4. Analyses:
a. Comparisons between facilities per total RSSb. Comparisons between facilities per each idealc. Comparisons between provider claims total RSS and individual experiences total RSSd. Comparisons between provider claims total RSS and other professionals’ experiences total RSS
The Weighted RSS for Dimensions
1. Each of the above ideals is rated on a scale of 1 to 4a. 1: none (resource is not available, recommended, referred)b. 2: resource is inside the facility but requires additional referral; OR resource is outside the facility and
agency refersc. 3: resource is within the facility and accessible to individual (without referral)d. 4: resource is built into the program
2. Each ideal has a high score of 4 and a low score of 1a. The mode of individual program scores per facility is usedb. Each mode for each ideal is weighted per dimension (see above table) to yield a weighted score c. Weighted scores are summed (eight weighted scores)d. Total score = Highest possible score (4) * (Weighted score for the particular ideal); summed
3. Weighted score summation/total score = Weighted RSS per dimensiona. Interaction of Dimension and Ideal
4. Analyses:a. Comparisons between facilities per total weighted RSS per dimensionb. Comparisons between facilities weighted RSS for each dimensionc. Comparisons between provider claims weighted RSS per dimension and individual experiences weighted
RSS per dimensiond. Comparisons between provider claims weighted RSS per dimension and OPs’ experiences weighted RSS
per dimension
Instrumentation/Method:
1. Instrumentation:a. Paper/pencil surveys (see Appendices A, B, C)b. Surveys for each facility, individuals, and OP’s will vary depending on which population they fall into.
Regardless, questions will remain the same, worded differently to appropriately reflect the individual taking the survey.
2. Pilot: One facility, ten individuals, ten OPs will pilot the surveysa. All participants of the pilot are expected to give critical feedback regarding wording, comfort, neutrality,
and ease of survey.b. Pilot surveys will be tested for construct validity and internal consistency (reliability).
3. Administrationa. Surveys will be distributed to the following facilities. Every employee from the facility will be
encouraged to take part in the surveys; employee surveys will be combined to yield scores for the facility:i. Zumbro Valley Health Center
ii. Mayo Cliniciii. Empower CTC
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iv. Metro Treatment Centerv. Common Ground
vi. Fountain Centersvii. Nehemiah Family Services
viii. MN Adult & Teen Challenge b. Each facility will also be asked to fill out individual surveys for each of their programs, as shown in
Table 2:
Table 2Rochester, MN Treatment Facilities and Subsequent Programs
Facility Program
ZVHC Choices
Recovery Partners
Recovery Basics
PREP
Recovery Bound
Right to Recovery
Footsteps 4 Recovery
Women’s Way to Recovery
DWI Classes
Intensive Residential
CD Navigator
CRU
Psychiatry/Psychology
Monitored Antabuse
Opiate Recovery
Mayo Clinic Consultation
Intensive Addiction
Outpatient Addiction
Extended Outpatient
Early Recovery
Recovery Maintenance
Health Professionals
Empower CTC Primary CD
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Relapse Prevention
DUI Program
Step Beyond
Metro Treatment Center Outpatient program
Common Ground Outpatient/Outpatient Extended
Jump Start
Relapse Program
DUI Classes
Counseling
Fountain Centers Outpatient Services
Adult Transition
Adult Relapse
Continuing Care
Nehemiah Family Services Outpatient
Relapse
Individual Counseling
MN Adult & Teen Challenge Long-Term Adult
Life Renewal
Restoration
c. Surveys will be distributed to individuals in the recovery community:i. Those in recovery (0-100 years)
ii. Those who have been through one of the facilities listed above for alcohol/drug treatment; they do not need to have graduated from the program in order to participate
iii. Recovery individuals who should not take surveys:1. Those currently in treatment in one of the facilities listed above – once they are out of
treatment, they can participated. Surveys will be distributed to other professionals who work with the recovery community:
i. Olmsted County employees: Social Workers, Child Protection Workers, Case Managers, Probation/Parole Officers, Law Enforcement Officers
ii. Mental health professionals who do not work for any of the above facilitiesiii. Medical professionals who do not work for any of the above programsiv. Professionals, volunteers who work for non-profit agencies that are involved in alcohol/drug
recovery4. Administration Period:
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a. Surveys will be administered from xx/xx/xx to xx/xx/xx5. Administration Procedure
a. To be determined by Recovery is Happening6. Confounding Variables
a. Below, in Table 3, are the potential confounding variables of this survey’s administration and possible solutions to lessen their effects
Table 3Possible Confounding Variables and Possible Solutions
Confounding Variable Possible Solutions
Day survey is administered 1. If possible, administer surveys on the same day(s) of the week for all participants
Time of day survey is administered 1. If possible, administer surveys at the same time(s) for all participants
2. If possible, administer surveys during the same time frame(s) for all participants (i.e. 8a-12p OR 12p-4p OR 4p-8p)
Survey is completed individually or in a group setting 1. For facilities: Encourage one group of five to complete the facility-wide survey
2. Encourage all employees to individually fill out one survey for the facility-wide survey
3. Encourage individual employees to complete program-specific surveys
4. Encourage separate groups of five people to fill out program-specific surveys
5. Encourage individuals to complete surveys individually
6. Encourage other professionals to fill out surveys individually
Individual knowledge of facilities and/or programs 1. For facility employees, encourage them to fill out program-specific surveys only if they have worked for the program in the last two years for at least six months
2. For other professionals, encourage them to fill out program-specific and facility wide surveys only if they have worked directly with a facility/program in the last three years
Locations where survey is administered 1. Administer surveys at one location only2. Keep location consistent for each group (i.e. ZVHC
employees take surveys at ZVHC, Conference Rm 3)Survey proctor and instructions 1. The same survey proctor should administer all surveys
2. The same 2-3 survey proctors should administer all surveys
3. Survey instructions should be scripted and followed exactly; survey proctors should not insert their opinions while explaining the survey
4. Survey proctors should not be any person who has a stake in the survey; these individuals can be present to answer questions about the study only
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Sample Descriptive Results:
Comparing Average RSS between facilities in Rochester, MN.
Highest possible score: 60
Median: 37
Average: 38.5
Highest: 43.4 (ZVHC)
Lowest: 33.7 (Mayo)
ZVHC MAYO EMPOWER MN ADULT METRO COMMON GROUND
FOUNTAIN NEHEMIAH0
10
20
30
40
50
60
AVERAGE RSS SCORE per Facility
Average RSS Score
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Comparing RSS between Programs:
Highest possible score: 60
Choices
Recove
ry Part
ners
Recove
ry Basi
csPREP
Recove
ry Bound
Right to
Recover
y
Footst
eps 4
Recover
y
Women's W
ay to Reco
very
DWI Clas
ses
Intensiv
e Resi
dential
CD Naviga
torCRU
Psychiat
ry/Psyc
hology
Monitored
Antabuse
Opiate R
ecover
y0
10
20
30
40
50
60
RSS BY PROGRAM: ZVHC
Consulta
tion
Intensiv
e Addicti
on
Outpatien
t Addicti
on
Exten
ded Outpati
ent
Early
Recover
y
Recove
ry Main
tenan
ce
Health Profes
sionals
0
10
20
30
40
50
60
RSS BY PROGRAM: MAYO
In addition, averages for each SAMHSA recommendation can be calculated. This demonstrates how well all the providers combined are doing providing these services.
Narrative Example: “On average, the treatment providers in this community need to refer to other, outside agencies, to provide housing services to individuals in treatment.”
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Housing
Transporta
tion
Basic N
eeds
Parenting T
raining
Childcar
e
Vocational
Life Sk
ills Legal
Peer S
upport
Aftercare
Provid
e reso
urces
Community base
d
Assessm
ents
on site
Multiple path
ways
Holistic
0
0.5
1
1.5
2
2.5
3
3.5
4
Average Individual RSS by SAMHSA Category
Scores can also yield a global look at the percentage of programs who have a recovery service built in, have a recovery service in house and accessible to the individual, have a recovery service in hour but needing an extra referral OR referral to an outside agency, and programs that do not refer.
Housing
Transporta
tion
Basic N
eeds
Parenting T
raining
Childcar
e
Vocational
Life Sk
ills Legal
Peer S
upport
Aftercare
Provid
e reso
urces
Community base
d
Assessm
ents o
n site
Multiple path
ways
Holistic
0102030405060708090
100
% Programs w/In House, In Program RS
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Housing
Transporta
tion
Basic N
eeds
Parenting T
raining
Childcar
e
Vocational
Life Sk
ills Legal
Peer S
upport
Aftercare
Provid
e reso
urces
Community base
d
Assessm
ents o
n site
Multiple path
ways
Holistic
0
10
20
30
40
50
60
70
80
90
100
% Programs w/In House, Accessible RS
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Housing
Transporta
tion
Basic N
eeds
Parenting T
raining
Childcar
e
Vocational
Life Sk
ills Legal
Peer S
upport
Aftercare
Provid
e reso
urces
Community base
d
Assessm
ents o
n site
Multiple path
ways
Holistic
0
20
40
60
80
100
% Programs Referring to In-House or Outside RS
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Housing
Transporta
tion
Basic N
eeds
Parenting T
raining
Childcar
e
Vocational
Life Sk
ills Legal
Peer S
upport
Aftercare
Provid
e reso
urces
Community base
d
Assessm
ents o
n site
Multiple path
ways
Holistic
0
20
40
60
80
100
% Programs Not Referring
Comparing Weighted RSS by Dimension
Emotional
Envir
onmental
Finan
cial
Intellec
tual
Occupati
onal
Physical
Socia
l
Spirit
ual0
102030405060708090
100
Weighted RSS per Dimension
ZVHCMayoEmpower
Perc
enta
ge
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Recovery Service Score (RSS) Survey (for Providers)
Please read the following before completing the survey.
A Recovery Service Score (RSS) has been developed using SAMHSA’s (2012) principles, guidelines, and recommendations on successful recovery. Below are 15 ideal resources that make up the RSS:
Housing: Provide referrals to housing resources, provide housing resources (deposits, first month rent), provide housing while individual is looking for independent housing
Transportation: Provide free transportation to and from treatment groups; provide cab or bus vouchers; provide referrals to transportation resources; initiate volunteer drivers or ride shares
Basic Needs: provide resources on how to attain basic needs; provide education on how to attain basic needs; provide vouchers for basic needs; provide basic needs while in treatment; provide referrals to agencies that can provide basic needs
o Basic needs: food, clothing
Parent Training: provides parent training through the program; provides referrals to parent training resources; provides parent training resources
Child Care: provides child care while individual attends outpatient services; provides vouchers for child care; provides resources for childcare; provides referrals for child care assistance
Vocational: provides job training; provides referrals to vocational resources; provides employment while in treatment
Life Skills: provides education on independent living skills; provides referrals to ILS classes or other resources; provides staff to assist with ILS in the individual’s home
o ILS: cooking, cleaning, money management, medication management, transportation, organization, planning, making appointments for self and others
Legal: provides support for individual dealing with legal matters; provides referrals to legal resources; cooperates and collaborates with legal professionals if applicable
Peer Support: the program has built in aspect of peer support; the program provides resources for peer support; the program refers to other groups with peer support; the program encourages peer support
Aftercare: Program provides extended aftercare including individual and group therapy, medication monitoring, drug or alcohol testing, medical care, home visits, psychoeducation
Community Based: program encourages community living and reintegration; program assists individual with reintegration after inpatient treatment or during/after outpatient treatment; program provides referrals for reintegration assistance
Assessment: psychological, drug testing services are done on site; provide referrals to testing services; provide resources for testing services
Multiple Pathways: program encourages more than one pathway for recovery; program does not subscribe to one treatment method only (i.e. 12 step, religious, abstinence, harm reduction); program provides resources for alternative treatments
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Holistic: program addresses all individual’s needs – mind, body, spirit; program provides referrals to holistic programs
Culturally competent: All staff are trained in cultural competencies; program is sensitive to individual and cultural needs**
We are asking that you provide ratings of your facility and programs
1: none (resource is not available, recommended, referred)
2: resource is inside the facility but requires additional referral; OR resource is outside the facility and agency consistently refers clients to the resource
3: resource is within the facility and accessible to individual (without referral)
4: resource is built into the program
The below facilities and programs are invited to participate in this survey. Each program should complete one survey. Please collaborate with your coworkers who are knowledgeable about these programs to complete the surveys:
Zumbro Valley Health Center: CHOICES, Recovery Partners, PREP, Recovery Basics, Recovery Bound, Right to Recovery, Footsteps 4 Recovery, Women’s Way to Recovery, DWI Classes, Intensive Residential, CD Navigator, CRU, Psychiatry/Psychology Individual and Group Services, Monitored Antabuse, Opiate Recovery
Mayo Clinic: Consultation, Intensive Addiction Inpatient, Outpatient Addiction, Extended Outpatient, Early Recovery, Recovery Maintenance, Health Professionals
Fountain Centers: Outpatient Services, Adult Transition, Adult Relapse, Continuing Care
Empower CTC: Primary CD Treatment, Relapse Prevention, DUI Program, Step Beyond
MN Adult & Teen Challenge: Long-term adult inpatient, Life Renewal inpatient, Restoration
Common Ground: Outpatient, Outpatient Extended, Jump Start, Relapse Program, DUI Classes, Individual/Group Counseling
Nehemiah Family Services: Outpatient treatment, Relapse program, Individual counseling
Metro Treatment: Outpatient services, Methadone/Antabuse programs
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Please Complete the Below Information:
Facility
Program
Your Job Title & Credentials, Certifications
Age Range (Circle) 18-28
29-38
39-48
49-58
59-68
69-78
Race
Ethnicity
Languages – Fluent (read, write, speak) English
Spanish
Chinese
Vietnamese
Arabic
Hindi
Korean
ASL (American Sign Language)
Numbers of years working with clients in recovery (Circle) Less than 1
1-3 years
3-5 years
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5-8 years
8-12 years
12+ years
Housing:
1. Housing resources
2. Financial resources such as deposits and first month’s rent
3. Housing while an individual is treatment
4. Housing while an individual is looking for independent housing
5. Waiver programs that assist individuals with purchasing household essentials: furniture, kitchen supplies, bathroom supplies, towels
1 (None, resource is not available, or consistently not referred to by provider)
2 (Resource is inside the facility but requires individual referral OR resource is outside the facility and provider consistently refers client)
3 (Resource is inside the facility and accessible to client; no additional referrals are needed)
4 (Resource is built in an automatically provided to the client if needed)
1 2 3 4
Transportation:
1. Free or discounted transportation to and from treatment groups
2. Cab or bus vouchers
3. Transportation resources within community
4. Volunteer drivers or ride shares
1 (None, resource is not available, or consistently not referred to by provider)
2 (Resource is inside the facility but requires individual referral OR resource is outside the facility and provider consistently refers client)
3 (Resource is inside the facility and accessible to client; no additional referrals are needed)
4 (Resource is built in an automatically provided to the client if needed)
Recovery Service Score (RSS) Survey (for past or current individuals receiving treatment services)
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Please read the following before completing the survey.
A Recovery Service Score (RSS) has been developed using SAMHSA’s (2012) principles, guidelines, and recommendations on successful recovery. Below are 15 ideal resources that make up the RSS and what qualifies programs as having the resource.
We are asking that you provide ratings of your treatment provider among the above categories. Below is the scale you will be using:
0: I didn’t know about this resource
1: I knew about the resource, but was not offered this resource
2: I knew about this resource, but was not referred to the resource
3: I knew about this resource and my provider referred me to the resource
4: The resource was automatically assigned to me in treatment
Please use your own insights about your experiences while in treatment. If a category does not apply or did not apply to you while in treatment, you can skip that category.
Parent Training:
1. Resources to parent training classes – for one or multiple age groups of children2. Education about custody, regaining custody, regaining partial custody3. Assistance for school enrollment, meetings, school supplies
0 (I did not know about this resource)
1 (I knew about this resource but my provider didn’t offer this to me)
2 (I knew about this resource but my provider didn’t refer me)
3 (I knew about this resource and my provider referred me)
4 (This resource was automatically built into my treatment program)
0 1 2 3 4
Life Skills:
1. Education and training on ILS2. Staff to assist with ILS outside of treatment**ILS: cooking, cleaning, money management, medication management, transportation, organization, planning, making appointments for self and family members
0 (I did not know about this resource)
1 (I knew about this resource but my provider didn’t offer this to me)
2 (I knew about this resource but my provider didn’t refer me)
3 (I knew about this resource and my provider referred me)
4 (This resource was automatically built into my treatment program)
0 1 2 3 4
Multiple Pathways:
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1. Alternative recovery such as Antabuse/Methadone clinics, spiritual/religion resources, exercise, meditation, hypnotherapy, acupuncture
2. Any other forms of recovery that do not ascribe to one method (i.e. 12 step, Christian-based, harm reduction, abstinence)
0 (I did not know about this resource)
1 (I knew about this resource but my provider didn’t offer this to me)
2 (I knew about this resource but my provider didn’t refer me)
3 (I knew about this resource and my provider referred me)
4 (This resource was automatically built into my treatment program)
0 1 2 3 4
Holistic:
1. Addresses all of individual’s needs – mind, body, spirit2. Medical care and assistance3. Dental care and assistance4. Medical and dental care and assistance for children
0 (I did not know about this resource)
1 (I knew about this resource but my provider didn’t offer this to me)
2 (I knew about this resource but my provider didn’t refer me)
3 (I knew about this resource and my provider referred me)
4 (This resource was automatically built into my treatment program)
0 1 2 3 4
Example 4
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Excerpts from Work at Bear Creek Services Independent Living Skills Program
Agency: Human Services
Consumers: Individuals with ID/DD, MI, CD, TBI
Sample: Adults w/ ID/DD, MI, TBI wanting to live independently
Goals: Provide independent living skills under minimal supervision; client will then “graduate” to his/her own apartment
Design: Longitudinal (Short-Term)
Baseline Measurement
Multiple Post/Progress Measurements
Instruments:
ILS assessment
Repeated-measures T-test w/effect size analysis, Analysis of variance.
Independence Programming
1. Introduction
a. All clients, within days of moving in, are given an Independence Assessment. The Independence Assessment is an assessment of their activities of daily living.
b. The Independence Assessment should be used in conjunction with the initial skills assessment done by Olmsted County, as well as any intake forms/notes that have been drawn.
c. Following the Independence Assessment, the program manager will evaluate it, and then formulate the results. The results will determine each individual’s program during their stay at the apartment.
Assessment Items
a. The Independence Assessment consists of Specific Skills Checklists. Each list consists of a superordinate, basic, and subordinate level. The client is evaluated on the subordinate level of each skill. Below are the superordinate and basic levels for each skill set.
Superordinate Basic
Community Involvement Local Businesses, Community Resources, Giving Back
Emergency and Safety Resources, Weather, Evacuation
Home Maintenance Kitchen Maintenance, Home Safety, Home Maintenance
Interpersonal Conflict, Verbal, Non-Verbal, Communication, Relationships
Medication Management Prescription Medications, OTC Medications, Medication Information, Medication Safety
Money Management Budgeting, Banking
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Personal Safety and Health Medical, Dental, Eye/Ear, Hygiene, Clothing Maintenance, Physical Health, Personal Safety
Recreation and Leisure Structured Indoor, Structured Outdoor, Planning
Transportation Directions, Vehicle Travel, Walking Travel, Bus Travel, Biking/Blading Travel
b. Special Assessments can be given if needed. Need is identified by either the client or the staff. Each list consists of a superordinate, basic, and subordinate level. The client is evaluated on the subordinate level of each skill. Below are the superordinate and basic levels for each skill set.
Superordinate Basic
Cultural/Spiritual Acceptance, Disclosure, Integration
Educational Planning Decision-Making, Searching, Resources, Financial, Counseling, Applying, Getting Started
Job Maintenance Preparation, Professionalism, Communication, Conflict
Job Seeking Searching, Applying, Interviewing, Expressing Interest
Mental Health Management Mental Illness, Substance Use, Violence, Boundaries, Self-Esteem/Confidence/Worth
Substance Use Knowledge, Identification, Action, Assistance, Resources
Progress Report - Sample
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xx: Baseline vs. Progress 1 vs. Progress 2 vs. Progress 3
Category Baseline Score – 8.13.13 Progress 1 Score – 8.29.13 Progress 2 Score – 9.16.13
Progress 3 Score – 11.1.13
Community Involvement 2.5 2.7 3.1 3.5
Emergency & Safety 2.1 2.1 2.1 2.3
Interpersonal 3.6 3.6 3.6 3.8
Home 2.9 2.9 3.6 3.7
Job Maintenance 3.6 3.4 3.8 3.7
Med Mngmt 1.4 2.4 2.5 2.7
Mental Health 2.4 2.9 3.0 3.3
Money Management 2.7 3.5 3.3 3.4
Personal Safety & Health 3.6 3.4 3.3 3.6
Recreation & Leisure 3.3 3.5 3.3 3.5
Transportation 2.4 3.7 3.7 3.5
Spiritual/Cultural NA NA NA 3.6
Statistically Significant Differences Between Baseline and P3 Measurements
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(alpha=.05 for a two tailed test)
Category Critical Value T statistic (repeated measures)
Significance? (Y or N) Effect Size
Community Involvement 2.110 5.24 Y 1.22 (large)
Emergency & Safety 2.179 2.14 N NA
Home Maintenance 2.021 8.14 Y .59 (medium)
Interpersonal 2.042 2.84 Y .51 (medium)
Job Maintenance 2.160 2.21 Y .59 (medium)
Medication Management 2.131 3.91 Y .97 (large)
Mental Health Management
2.07 7.10 Y 1.48 (large)
Money Management 2.064 7.2 Y 1.42 (large)
Personal Safety & Health 2.021 4.86 Y .72 (medium)
Recreation & Leisure 2.179 1.92 N NA
Transportation 2.110 5.73 Y 1.35 (large)
*x has made statistically significant improvements in 9 out of 11 possible skill categories.
*One category (Cultural/Spiritual) was not included in the above tests as it did not have a baseline measurement.
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Program Growth - 8/2013-10/2014
Admissions vs. Graduations vs. SILS 8/2013-10/2014
**Graduations are also counted as SILS as all transition apartment graduates have requested for SILS hours.
Month Number of Participants Percentage Increase
August 2013 2 0
September 2013 2 0
October 2013 3 (3-2)/2=50%
November 2013 4 (4-3)/3=33%
December 2013 4 0
January 2014 5 (5-4)/4=25%
February 2014 6 (6-5)/5=20%
March 2014 6 0
April 2014 6 0
May 2014 8 (8-6)/6=33%
June 2014 9 (9-8)/8=12.5%
July 2014 9 0
August 2014 9 0
September 2014 10 (10-9)/9=11%
October 2014 15 (15-10)/10=50%
Total Increase 13 (13-2)/2=550%
Narrative Report Example
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With each new apartment participant, comes the following responsibilities (multiply the below duties by 7 admissions): 2 every 6 months1. Intake: 1-3 meetings (includes obtaining signatures, selling the program, creating meeting notes, sending notes); “pizza
party” or other “get to know you” events x 2-3 times including transportation to and from the apartment, other paperwork (service schedules, calendars, meal planning, bus plans, work schedules, medical emergency information, safety plans, hiring/training staff on ISP/CSSP and APP/IAPP, putting together admin file, requesting/organizing county paperwork and financial information)
2. Move-In: Coordinating move-in dates/times, assistance, move-in checklists, work schedules, bus plans for new routes, initial orientation paperwork with the participant (safety plans, “important items” checklist, financial information, releases, apartment paperwork (emergency notification form); assisting participant with getting/filling laundry card
3. Addition of the team: parents/guardians, other family members, case manager, work coordinator, psychiatrists, psychologists, medical doctors, significant others, friends - obtaining contact information
4. Frequent Updates: sending updates approximately every other day to the team to inform them of how the participant is doing. Update frequency decreases to once per week after the first month.
5. Frequent Meetings: coordinating and meeting every 2-3 weeks6. Assessment: Initiate the Independence Assessment; rank participants in each ILS category. Gather and organize data;
create charts and tables to present before every meeting.7. Transportation: driving participant to and from appointments, errands, activities
With each new SILS participant, comes the following responsibilities (multiply the below duties by 8 SILS admissions): as needed, typically 1 per month1. Intake: 1-3 meetings (includes obtaining signatures, selling the program, creating meeting notes, sending notes); other
paperwork (service schedules, calendars, meal planning, bus plans, work schedules, medical emergency information, safety plans, hiring/training staff on ISP/CSSP and APP/IAPP, putting together admin file, requesting/organizing county paperwork and financial information).
2. Addition of the team: parents/guardians, other family members, case manager, work coordinator, psychiatrists, psychologists, medical doctors, significant others, friends - obtaining contact information
3. Frequent Updates: sending updates approximately every other day to the team to inform them of how the participant is doing. Update frequency decreases to once per week after the first month.
4. Frequent Meetings: coordinating and meeting every 2-3 weeks5. Assessment (if requested): Initiate the Independence Assessment; rank participants in each ILS category. Gather and
organize data; create charts and tables to present before every meeting.
For all participants, the following responsibilities are continuous (multiply the below by 15 total participants):1. Direct support for participants - assisting, advising, coaching, mentoring, transportation, appointments, errands - daily2. Monthly paperwork: monthly report (petty cash report and green sheets); monthly expense report and budget
(participant does this with the help of staff); monthly and weekly calendars, monthly service schedules, meal plans, grocery templates, monthly ledgers, monthly med sheets (if needed), monthly PRN med sheets (for all participants), monthly tracking sheets (chores, medical issues, goals, “behaviors”) - monthly
3. Weekly paperwork: Weekend responsibilities with a breakdown of what the staff need to do with which participant and when; weekend activities sent to Olmsted County and given to staff; staff instructions with the weekend schedule, important notes about each participant (if they’re gone, previously planned activities, home visits, vacations) and specific instructions for weekend events including driving directions on how to get there - weekly
4. Tracking budgets: keeping/recording receipts in Excel budget sheet; assisting with activating EBT cards (includes informing support teams, send important numbers/PIN numbers for guardians, showing participants how to check their balances via phone and internet), assisting with filling out food support/MSA/energy assistance applications, training staff on how to use EBT cards, organizing bills and ensuring participants are paying their bills on time and in the right amount; reporting to parents/guardians about important bills; requesting money is put into participant’s account - daily
5. Medical Support/Appointments: arranging and assisting the arrangement of medical, psych, and other appointments as requested; maintaining appointment schedule on own calendar and participant’s calendar; providing transportation or training participant on bus route to attend appointment independently; attending important appointments, documenting appointments, informing teams about appointments, educating self and participants about medications, advocating for medication changes if needed, educating self about medication changes, updating medication books, updating and training staff on medications and medication changes, assisting with reordering medications, assisting with calling pharmacy and/or doctor when medications are not received; assisting with or refilling medication boxes; training participants and staff on their medications (what they are, what they look like, side effects, contraindications) - daily
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6. Transportation: provided for appointments, errands, activities, emergency/backup rides - daily7. Programming: providing staff with ILS sheets; starting with basic skills; changing programs at any moment, whenever
necessary; tailoring programs to work for the person - daily or weekly8. Therap: reading/correcting Therap documentation, writing T-Logs, updating all staff on participant changes - daily
Other Responsibilities:1. Staff schedules - master and individual: 9 permanent staff, 3 former staff, 4 on-call staff - monthly 2. Staff training - 9 permanent staff, 3 former staff, 4 on-call staff, 1 program manager - policies, house policies,
participants’ information (including person-centered training - likes, dislikes, services requested, how to help the person, what to do/not to do with the person) - as needed
3. Interviewing potential staff - as needed4. Filling open shifts; filling last minute open shifts - as needed5. On-call - 24x7 for the past 14 months with occasional weekend off - constant texts and calls from staff and participants6. Re-stocking the apartments - garbage bags, cleaning supplies, paper products, office supplies - 1 apartment from 8/2013-
10/2014, 2 apartments in 10/2014 - monthly7. Tracking SILS hours - per participant, per day, per week, per month - multiply by 9 SILS participants - daily8. Assisting with/cleaning SILS participants’ homes - during/after work hours - varies9. Restocking “prize box” for 1 SILS participant - monthly10. Calling participants and staff to give reminders for daily tasks, appointments, work, etc. - daily11. Tracking house accounts: house petty cash, Walmart card, Kwik Trip card, van mileage form - weekly12. Writing new staff training program - daily, if time permits
Daily, Weekly, Monthly Tasks: 8/2013 versus 10/2014:To quantify my responsibilities, each numbered item above is counted as 1 daily, weekly, or monthly task. As needed or
requested items are not counted in the below.8/2013 10/2014 Percentage Increase
Daily 32 (6 tasks x 2 participants + 1 task x 2 participants & 3 staff)
114 (6 tasks x 15 participants + 1 task x 15 participants & 9 staff)
(114-32)/32=256%
Weekly 6 (2 tasks x 2 participants + 2 tasks)
32 (2 tasks x 15 participants + 2 tasks)
(32-6)/6=433%
Monthly 5 (1 task x 2 participants + 1 task x 3 staff + 2 tasks)
26 (1 task x 15 participants + 1 task x 9 staff + 2 tasks)
(26-5)/5=420%
Percentage of apartment participants who have graduated: 43%Number of participants Graduates
7 3
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