Jonathan Singer
April 29, 1996
MSSW Colloquium
Dr. Cynthia Franklin

Modified Stress Inoculation Therapy
Treatment For An Anxious Client
With Multiple Diagnoses

TABLE OF CONTENTS
ABSTRACT
LITERATURE REVIEW
Comorbidity
Symptomology
Cognitive Behavior Therapy
METHODS
Case Presentation
Instruments
Anxious Behavior
ABBC Design
Intervention (S.I.T.)
RESULTS
Clinical Anxiety Scale (C.A.S.)
Rate and Duration of Interruptions
Rate and Duration of Pacing
Rate and Duration of Looks
Medication
DISCUSSION
Clinical Anxiety Scale (C.A.S.)
Rate and Duration of Interruptions
Rate and Duration of Pacing
Rate and Duration of Looks
Implications for Future Research
References

Modified Stress Inoculation Therapy Treatment For An Anxious Client With Multiple Diagnoses

Abstract

Literature is reviewed addressing the concept of Co morbidity in diagnosis and treatment. Treatment issues for a 12 year old white male, diagnosed with PTSD, ADHD and Dysthymic Disorder are considered. A modified version of Stress Inoculation Therapy (SIT) is used over a 7 week single-subject design. Results indicate no correlation between intervention and outcome. The study is critiqued for time-considerations, expectation of the subject, and method of data collection.

LITERATURE REVIEW

Co morbidity

Children and adolescents in treatment are often diagnosed with more than one disorder (Nottelman and Jensen, 1995). For example, common dual diagnoses are ADHD and Conduct Disorder, and Anxiety and Depression (Hubbard et al, 1995; Bird, Gould, and Staghezza, 1993; Curry and Murphy, 1995). These diagnoses often have high Co morbidity, and there is debate in the literature as to whether they are separate disorders or two different expressions of the same underlying psychopathology (Boulenger and Boyer, 1994). Stark, Laslow, and Laurent (1993), studied 59 children from grades 4-7 with three separate diagnosis groups and one nondisturbed control group. The authors found that while there were significant differences on a number of diagnostic scales between the diagnostic and experimental groups, there was no difference within the experimental groups. There has been some attempt to account for high Co morbidity by authors who distinguish between behavior that is undercontrolled (externalized) and overcontrolled (internalized); these two basic types of behaviors manifest themselves in a number of different disorders (Bird et al, 1994; Hollon and Beck, 1994; Kazdin, 1991). For example, aggression, antisocial behavior and hyperactivity are externalized behaviors and fearfulness, anxiety, and depression are internalized behaviors (Maag and Kotlash, 1994).


Lilienfeld, Waldman, and Israel (1994), argue that the plethora of comorbid diagnoses in the literature reifies diagnostic categories because the diagnosis takes precedent over the symptoms. The tendency for such reification is a reminder that categories used for diagnosis are socially constructed; clients present symptoms and we look for categories within which to fit them. The literature often discusses single or multiple treatments for a single diagnostic category. For example, the literature is dominated by books of cognitive-behavioral treatments for single diagnostic categories such as depression (Wilkes et al, 1994; Shafii and Shafii, 1992), trauma (James, 1989), and impulsivity (Kendall and Braswell, 1993). The theory is the same, but the interventions are diagnosis specific. The literature does not describe the effect of single or multiple treatments on clients who have multiple diagnoses. Comorbid conditions are treated with two different treatments, either concurrently or in succession. It would be important to know how effective single treatments are on clients with multiple problems (Kazdin, 1994). The focus on single diagnoses is problematic because therapy treats presenting symptoms, not diagnoses.

Symptomology

Diagnostic symptomology sometimes manifests itself differently in children and adolescents than in adults. The different manifestations of anxiety in children can lead to a number of different diagnoses. Children who exhibit anxiety through fidgeting and impulsivity can be diagnosed with ADHD. Children who exhibit anxiety through hyper vigilance and poor sleeping habits can be diagnosed with PTSD. Children for whom anxiety manifests itself as irritability and inability to concentrate might meet criteria that would suggest a diagnosis of a Depressive disorder. Those same symptoms in adults are less commonly diagnosed as Depressive disorder and more commonly as Anxiety disorder (DSM-IV, 1994). In fact, comorbidity of PTSD, anxiety and depression among children is very high (Scott and Stradling, 1992). Regardless of the diagnosis, both the therapist and the client are concerned with finding ways to reduce the symptoms; the diagnosis can be used as a guide for treatment, but does not in itself produce change in the client. Vitulano and Kraemer (1991) address this issue and argue that
the complexity of this symptom picture, coupled with the considerable overlap between these and other symptoms of disorder in childhood and adolescence, has led behavioral investigators to argue that the most effective intervention for childhood [disorders] is to treat specific symptoms of the disorder... (In Lewis, 1991, p. 820).

Cognitive Behavior Therapy

Cognitive-behavioral therapy (CBT) has been shown to be effective in treating many of the symptoms associated with problems of children and adolescents (Kazdin, 1994; Kendall, 1985; Meyers and Craighead, 1984). Zarb (1992) notes that social-learning theory is particularly well suited for work with adolescents, for whom macro-environmental influences play a significant role in development. Cognitive-behavioral therapies have been shown to be more effective than strict behavioral therapies in generalizing outcomes outside of the treatment environment (Gross and Drabham, 1982; Kanfer and Karoly, 1982; Kendall and Braswell, 1993). Kendall (1985) notes that cognitive-behavioral models are concerned with "the cognitive activities that surround behavioral events and seek to determine how anticipatory, concurrent, and post hoc cognitions contribute to adaptive and maladaptive patterns of behavior" (p. 360). In other words, treatment can be generalized because change occurs in the understanding of the behaviors, which can then be applied (generalized) to different environments.


Maag and Kotlash (1994) identify several cognitive-behavioral intervention techniques used in reducing anxiety including self-instruction training, self-management strategies, problem-solving training, attribution retraining, and relaxation training. Meichenbaum and Turk (1976) developed Stress Inoculation Therapy (SIT) as a treatment approach for the management of anxiety, anger, and pain. Novaco (1979) notes that SIT focuses on helping individuals develop and employ a variety of skills that enable them to cope with a variety of stressful situations. Maag and Kotlash (1994) explain that the three phases of stress inoculation training (SIT) are "a) conceptualization, b) skills acquisition and rehearsal, and c) application and follow-through. Foa, Rothbaum, Figgs, & Murdock (1991) compared the effectiveness of three different treatments for PTSD; SIT, PE (prolonged exposure), and counseling. SIT and PE were found to be more effective than counseling, and SIT was found to be the most effective treatment at termination.


The current study applies the cognitive behavioral technique of SIT to the presenting symptoms of a client with multiple diagnoses: PTSD, ADHD, and Dysthymic Disorder. Mezey (1992) notes "the most promising treatment strategies appear to be those that provide the [client] with specific mechanisms and alternative responses to manage their anxiety" (p. 139). It appears that SIT is a good framework for providing concrete approaches for the treatment of anxiety. This study hypothesizes that the implementation of SIT will result in a lower level of client anxiety.

METHODS

Case Presentation

Sam is a twelve-year old Anglo male in the 6th grade. He lives with his mother (Ms. H) and two house mates in a four bedroom house in a low-income neighborhood in Austin. Sam's parents have been divorced for five years and he has limited contact with the father. He presents as a highly intelligent and verbal pubescent adolescent.


Sam was diagnosed with Post Traumatic Stress Disorder at age four after the family discovered he had been sexually abused by a family friend for a period of several months. He was admitted to Charter Lane Hospital subsequent to the abuse when he became physically aggressive, displayed oppositional behavior, began having nightmares and increased levels of anxiety. He was hospitalized for six weeks and both Sam and his parents received group and individual therapy. Sam was sexually abused a second time at age six by a group of three adolescent males in a single incident. Sam received counseling at Child and Family Services from that time until one year ago. He was diagnosed with ADHD at age 7 by MHMR and was taking Ritalin 3x/day for 4 years. He stopped taking Ritalin last year because he said it was making him depressed.


Ms. H contacted the Austin Child Guidance Center (ACGC) 10 weeks ago with the presenting problems of behavior problems and academic problems. Their roommate said that she had had enough of Sam's "lewd behavior and remarks." Similarly, the school had notified Ms. H that Sam's classroom behavior had become increasingly disruptive in the last year. In the Initial Screening at ACGC, Ms. H indicated that she felt that the combination of Sam going off medication and going through puberty was making it difficult for him to behave properly and perform well academically. During the first session, Sam appeared very anxious and fled the room when we started discussing school. By the end of the session Sam had told us that he did not like "bugging out" so much and wanted to stop. Based on information from Ms. H, Sam, and the staff psychiatrist, Sam has been diagnosed with Dysthymic Disorder (DSM-IV, 1994).

Instruments

We used the Clinical Anxiety Scale (CAS) (Thyer, 1992) at the beginning of each session. According to Fisher and Corcoran (1994), the purpose is to measure clinical anxiety. CAS is a 25 item scale that is focused on measuring the amount, degree or severity of clinical anxiety reported by the respondent, with higher scores indicating higher amounts of anxiety. The CAS is simply worded and easy to administer score and interpret. The items for the CAS were psychometrically derived from a larger number of items based on a criteria for anxiety disorders from DSM-III. The CAS has a clinical cutting score of 30 (plus or minus 5) and is designed to be scored and administered in the same way as the scales of the WALMYR assessment scales.


The CAS asks clients to rate each item based on a 7-point Likert scale. It is important to note that Computer Assisted Social Services (CASS) was used to score the results. In this program the Clinical Anxiety Scale is a 7-point scale, not 5-point scale as it is printed on the scales. Thyer (1995) explains that the scale was changed to a 7-point scale to improve validity and reliability. Since the original scale was printed as a 5-point scale, the client was given a sheet with the 7-point scale and instructed to answer from there. The CAS is manually scored in the following way. The 7 items listed at the bottom of the page are reverse scored. To get the total score (S), add up all the scores after reverse-scoring (Y), subtract the number of items completed (N), multiply that by 100, and divide that number by the number of item completed (N) multiplied by the largest possible value for an item response (in this case 7) minus 1. The formula presented by Bloom, Fisher and Orme for this process is

S=(Sum [Y]-N)(100)

(N)(K-1)

According to Fisher and Corcoran (1994), the norms of the CAS are based on an initial study of 41 women and 6 men (average age 40.9 years) from an agoraphobic support group, 51 men and 32 women from the US army who were attending courses in health sciences (average age 25.7 yrs) and 58 female and 15 male university students (average age 26.6 yrs). No other demographic information was available nor were actual norms.


According to Fisher and Corcoran (1994), CAS has excellent internal consistency with a coefficient alpha of .94. The standard error of measurement of 4.2 is relatively low, suggesting a relatively low amount of measurement error. It has good stability with a 2 week test retest correlation ranging from .64 to .74. CAS also has good known groups validity, discriminating significantly between groups know to be suffering from anxiety and lower anxiety control groups. Using the clinical cutting score of 30 the CAS had a very low error rate of 6.9% in distinguishing between anxiety and control groups. No other validity information was available. Analysis of the CAS in relation to demographic variables such as age, sex and education reveals that scores on the CAS are not affected by those factors (ethnicity was not examined).

Anxious Behavior

Videotape was used to record in-session behaviors that Sam identified as being indicative of his anxiety. (Note: The client did not use the word "anxiety" to describe his state. He mentioned being "bugged out" and "on edge" in conjunction with the behaviors). The behavioral observation followed steps outlined by Bloom, Fisher and Orme (1995).


We specified the following targets for intervention: "Interrupting," which we defined as anytime the client spoke over what I was saying for more than 5 words. "Pacing," which we defined as anytime the client got up from his chair to walk around the room. "Looking at the camera," which we defined as anytime the client turned to the camera.


We focused on these three behaviors for a number of reasons. We wanted to identify the behaviors that most often indicated that Sam was feeling anxious. We wanted to keep the number low enough so that we could keep track of them during the session. We decided that it would be difficult to keep track of them between sessions, but that it would be important to build awareness of them. We also chose behaviors that were interpersonal, IE behaviors that would impact the client's interactions with others. These would be more memorable because there would be an external trigger (in the form of a reaction from those around the client) that could serve as a reminder. Finally these behaviors were chosen because the client had reported getting in trouble at school as a result of two of the three behaviors (interrupting and pacing). In the intervention we externalized these behaviors in an attempt to help the client feel he had control over them.


We decided that both Sam and I would be responsible for noticing the behaviors during the session, but that I would be responsible for recording data from the videotapes. We would collect data only during the sessions for the following reasons: The client was already having problems doing homework and we did not want to set him up for more failure. Sam also stipulated that only I would be able to watch the video tapes, because he did not trust anyone else. In an effort to build trust, the study has excluded the option of a second judge and decreased the reliability of data afforded by a second judge.

ABBC Design

The ABBC design allowed us to track the primary intervention (anxiety reducing exercises) and account for the introduction of medication after the 5th session. In the first phase (A), we established a 2 week baseline from the CAS scores and the behavior rates. The second phase (B), lasted for 3 weeks, in which Sam learned ways to reduce his anxiety. The third phase (BC), continued the B phase and introduced Wellbutrin, an anti-depressant as the second intervention.

Intervention (SIT)

This study used a modified version of Stress Inoculation Therapy (SIT) from the cognitive-behavioral literature (Maag and Kotlash, 1994). The first phase of SIT is used to educate clients about the nature of their disorder. Following a more constructivist model, for the first two sessions we reversed the roles and Sam educated me about his fears and anxieties. Specifically, we used situations that Sam talked about from his everyday life and explored his fears and anxieties. This approach worked well because Sam is hypersensitive and feels threatened easily, as is common with people diagnosed with PTSD. The only anxiety reducing activity Sam could self-generate was hitting the Bobo doll, a four-foot tall bottom heavy bag stuffed with punch-absorbent materials with a male figure painted on the front and back.


The first intervention occured at the end of the second session. Sam was recounting an incident at school where his teacher was yelling at him for not doing his work. While recounting the story, Sam's face got flush and he started pacing, a behavior he had previously identified as indicative of anxiety. I used reflexive statements such as "It seems like your face is getting red and you are pacing," to focus our attention on the physical manifestations of his anxiety. Then Sam made a joke and said he always does that when he wants to change the subject. I suggested that the next time he feels anxious, that he stop what he is doing and take a deep breath. He thought this was silly, so I suggested we role play it. Role playing is part of the second phase of SIT. Sam played the teacher and I played Sam and when I (as Sam) felt myself getting anxious, I stopped pacing and took 5 deep breaths. Although Sam laughed, he tried it a few minutes before the end of the session.


The following 5 sessions (3-7) were spent practicing relaxation techniques and punching the Bobo doll. At the beginning of each session I would ask Sam to "help me out for my class and take this interview" (the CAS). Once that was complete we would talk about his week. I encouraged him to talk about anxious times. At a certain point he would take the Bobo doll and start punching it. He usually did this for about 20 minutes. Each week, following the Bobo doll pummeling, we did a deep breathing exercise. In the 7th session Sam had a major breakthrough and closed his eyes during the relaxation exercise. He said it was because he was tired.
The third phase of SIT involves taking the treatment into the anxiety producing environment. Sam has contracted to continue services through August, so I will be able to continue tracking progress. It is my hope that we will be able to get to the third phase of SIT before treatment terminates.

RESULTS

Figure 1: Sam's Clinical Anxiety Scale Scores

 
  Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7
Scores 45 67 45 63 57 45 32
Clinical Cutoff 30 30 30 30 30 30 30

Clinical Anxiety Scores

Clinical Anxiety Scale (CAS) (Figure 1)

The CAS scores do not indicate a correlation between the intervention and the level of anxiety (Fig. 1). The initial score of 45 indicates that Sam had a significant problem with anxiety. The second week his score went up to 67, which indicates a serious problem with anxiety. The baseline phase ended after the second week. The third week Sam's score dropped to 45. Although this is a 22 point drop in the score, and it occurred after the intervention, the third week score is the same as the initial score, 45. The fourth week Sam's score rose again, this time to 63, an 18 point increase in the level of anxiety. The fifth week Sam's score was 57, six points lower than the previous week and 12 points higher than the initial score. The sixth week Sam's score lowered to 45, 12 points lower than the previous week and the same score as the first and third weeks. In the sixth week Sam started the second intervention, Wellbutrin, and anti-depressant. The last week of the study, Sam's score dropped to 32, thirteen points lower than the previous week, and his lowest score of the study. According to Thyer (1994), a score of 32 falls with in the +/- 5-point range for clinical significance. Sam's score of 32 may or may not be clinically significant. It is not possible to suggest a correlation between the last score and the Wellbutrin intervention.

Table 1: Rate and Duration of Interruptions per Hour by Sam

  Number of
Interruptions
Period
Covered
Minutes
Interrupting
Minutes per
Interruption
Number of
Minutes
Rate
per Minute
Week 1 23 7:10-8:00pm 35 1.52 50 0.46
Week 2 18 7:10-8:00pm 40 2.22 50 0.36
Week 3 13 730-8:00pm 20 1.53 30 0.43
Week 4 8 7:00-8:00pm 35 4.37 60 0.13
Week 5 6 7:10-8:00pm 30 5.00 50 0.12
Week 6 8 7:00-8:00pm 30 3.75 60 0.13
Week 7 5 7:10-8:10pm 15 3.00 60 0.008

Rate and Duration of Interruptions by Sam (Table 1)

Sam identified "interrupting" as the first behavior he would like to change. We operationalized interrupting as any time Sam talked over me for 5 words or more, and hypothesized that a reduction in the rate of interruptions would indicate a reduction in the amount of anxiety. The first week we were in session for 50 minutes and Sam interrupted 23 times for a total of 35 minutes, an average of 1.52 minutes per interruption and an average interruption rate of 0.46 minutes. The second week we were in session for 50 minutes and Sam interrupted 18 times for a total of 40 minutes with an average of 2.22 minutes per interruption and an average interruption rate of .36 minutes. The baseline phase ended after the second week. The third week we were in session for 30 minutes and Sam interrupted 13 times for a total of 20 minutes with an average of 1.53 minutes per interruption and an average interruption rate of .43 minutes. The scores from the first and third week are almost the same. The fourth week we were in session for 60 minutes and Sam interrupted 8 times for a total of 35 minutes with an average of 4.37 minutes per interruption and an average interruption rate of .13 minutes. The fifth week we were in session for 50 minutes and Sam interrupted 6 times for a total of 30 minutes with an average of 5 minutes per interruption and an average interruption rate of .12 minutes. The sixth week we were in session for 60 minutes and Sam interrupted 8 times for a total of 30 minutes with an average of 3.75 minutes per interruption and an average interruption rate of .13 minutes. Sam started taking Wellbutrin this week, starting the third phase (BC) of the study. The seventh week we were in session for 60 minutes and Sam interrupted 5 times for a total of 15 minutes with an average of 3 minutes per interruption and an average interruption rate of .08 minutes. Compared to the initial week, the minutes per interruption increased 1.48 minutes, but the rate per minute decreased by .38 minutes (Table 1.1).

Table 2: Rate and Duration of Pacing per Hour by Sam

  Number of
Pacings
Period
Covered
Minutes
Pacing
Minutes per
Pace
Number of
Minutes
Rate
per Minute
Week 1 12 7:10-8:00pm 44 3.67 50 0.88
Week 2 10 7:10-8:00pm 36 3.60 50 0.72
Week 3 5 730-8:00pm 10 2.00 30 0.33
Week 4 8 7:00-8:00pm 12 1.50 60 0.20
Week 5 7 7:10-8:00pm 6 0.86 50 0.12
Week 6 8 7:00-8:00pm 6 0.75 60 0.10
Week 7 6 7:10-8:10pm 2 0.33 60 0.03

Rate and Duration of Pacing per Hour by Sam (Table 2)

Sam identified "pacing" as the second behavior he would like to change. We operationalized pacing as any time Sam left his chair and took more than 3 steps, and hypothesized that a reduction in the rate of pacing would indicate a reduction in the amount of anxiety. The first week we were in session 50 minutes and Sam paced 12 times for a total of 44 minutes with an average of 3.67 minutes per pace and an average rate of 0.88 minutes. The second week we were in session 50 minutes and Sam paced 10 times for a total of 36 minutes with an average of 3.6 minutes per pace and an average rate of 0.33 minutes. The baseline phase ended after the second week. The third week we were in session 30 minutes and Sam paced 5 times for a total of 10 minutes with an average of 2 minutes per pace and an average rate of 0.33 minutes. The fourth week we were in session 60 minutes and Sam paced 8 times for a total of 12 minutes with an average of 1.5 minutes per pace and an average rate of 0.2 minutes. The fifth week we were in session 50 minutes and Sam paced 7 times for a total of 6 minutes with an average of .86 minutes per pace and an average rate of 0.12 minutes. The sixth week we were in session 60 minutes and Sam paced 8 times for a total of 6 minutes with an average of 0.75 minutes per pace and an average rate of 0.1 minutes. Sam started taking Wellbutrin this week, starting the second phase (BC) of the study. The seventh week we were in session 60 minutes and Sam paced 6 times for a total of 2 minutes with an average of 0.33 minutes per pace and an average rate of 0.03 minutes. All indicators of the identified behavior decreased over 7 weeks. The minute per pace dropped 3.03 minutes from and initial duration of 3.67 minutes and the rate per minute dropped 0.85 minutes from an initial rate of 0.88 minutes (Table 2.1).

Table 3: Rate and Duration of Looks at the Camera per Hour by Sam

  Number
of Looks
Period
Covered
Minutes
Looking
Minutes
per Look
Number
of Minutes
Rate
per Minute
Week 1 9 7:10-8:00pm 15.0 1.67 50 0.30
Week 2 8 7:10-8:00pm 15.0 1.87 50 0.30
Week 3 4 730-8:00pm 3.0 0.75 30 0.10
Week 4 0 7:00-8:00pm 0.0 0.00 60 0.00
Week 5 4 7:10-8:00pm 3.0 0.75 50 0.06
Week 6 1 7:00-8:00pm 0.45 0.45 60 0.008
Week 7 1 7:10-8:10pm 0.30 0.30 60 0.005

Rate and Duration of Looks at the Camera per Hour by Sam (Table 3)

Sam identified "looking at the camera" as the third behavior he would like to change. We operationalized looking at the camera as any length of time that Sam looked into the camera, and hypothesized that a reduction in the rate of looking into the camera would indicate a reduction in the amount of anxiety. The first week we were in session 50 minutes and Sam looked into the camera 9 times for a total of 15 minutes with an average of 1.67 minutes per look and an average rate of 0.3 minutes. The second week we were in session 50 minutes and Sam looked into the camera 8 times for a total of 15 minutes with an average of 1.87 minutes per look and an average rate of 0.3 minutes. The baseline phase ended after the second week. The third week we were in session 30 minutes and Sam looked into the camera 4 times for a total of 3 minutes with an average of 0.75 minutes per look and an average rate of .01 minutes. The fourth week we were in session 60 minutes and Sam looked into the camera 0 times for a total of 0 minutes with an average of 0 minutes per look and an average rate of 0 minutes. The fifth week we were in session 50 minutes and Sam looked into the camera 4 times for a total of 3 minutes with an average of 0.75 minutes per look and an average rate of 0.06 minutes. The sixth week we were in session 60 minutes and Sam looked into the camera 1 time for a total of 0.45 minutes with an average of 0.45 minutes per look and an average rate of 0.008 minutes. Sam started taking Wellbutrin this week, starting the third phase (BC) of the study. The seventh week we were in session 60 minutes and Sam looked into the camera 1 time for a total of 0.30 minutes with an average of 0.3 minutes per look and an average rate of 0.005 minutes. All indicators of the identified behavior decreased over 7 weeks. The minute per look dropped 14.70 minutes from and initial duration of 15 minutes and the rate per minute dropped 0.295 minutes from an initial rate of 0.3 minutes (Table 3.1).

Medication

Sam did not indicate any change in his behavior outside of the session after one week on Wellbutrin. None of the results correlate with the second intervention. At the seventh week, there is not no indication that Wellbutrin has affected Sam's functioning.

DISCUSSION

This paper reviewed literature relevant to the treatment of a client with multiple diagnoses. The prevalence of comorbid diagnoses in children poses a challenge in identifying specific literature to support clinical interventions. The issues of single treatment for multiple diagnoses was discussed earlier in the paper. It was found that a small portion of the literature supports the concept that diagnosis based treatment is less relevant to children than it might be for adults. This is not surprising, since until recently most therapies have tended to treat children as little adults (Kazdin, 1994). One of the therapies that has recently focused attention on children and adolescents is cognitive-behavioral therapies. The developmental focus, incorporating social learning theory and Piagetian developmental theory, provides a solid basis for considering developmental needs that are specific to children and adolescents. For those reasons, it appeared that SIT would be a successful intervention. However, the intervention has yet to be successful.

CAS

Although Sam's CAS scores decrease during the last 3 weeks of treatment, his mean score for the 7 weeks (50.6) is actually higher than his initial score was (45). After getting Sam's scores back on the third week (45) I was hopeful that this intervention was working. However, the fourth week's scores were almost as high as the second week's scores (63 and 67). There were three weeks when Sam's score was 45. It might be helpful to know what was different about those days; a longer study might show a pattern where CAS scores of 45 are Sam's good/average days. Since that data is unknown, it is difficult to hypothesize as to the significance of the scores. Clearly, though, the seventh week CAS score of 32, is remarkably low for Sam. With the +/- 5 points, we can say that Sam had one day without a clinically significant amount of anxiety. There is not enough data to support the possibility that the medication (Wellbutrin) was starting to work.

Figure 1: Sam's Clinical Anxiety Scale Scores

 
  Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7
Scores 45 67 45 63 57 45 32
Clinical Cutoff 30 30 30 30 30 30 30

Clinical Anxiety Scores

Rate and Duration of Interruptions by Sam per Hour

With the exception of "minutes per interruption,"(Table 1.1), all other identified symptoms have decreased. It is possible that as the relationship developed more trust Sam felt like he could interrupt less, but when he did it was very important, so he would take his time to finish. According to Sam's teacher at school, there has been no significant change in his interruptions. One of the ways that Sam controls the situation is by determining who gets to say what; if he is always talking, then no one can insult him or hurt him. It would appear that a different intervention is necessary to impact the quality of interruptions.

Table 1.1: Rate and Duration Interruptions per Hour by Sam

  Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7
Minutes per Interruption 1.52 2.22 1.53 4.37 5.00 3.75 3.00
Rate per Minute 0.46 0.36 0.43 0.13 0.12 0.13 0.08

 

Rate and Duration Interruptions per Hour by Sam

Rate and Duration Pacing per Hour by Sam

The data suggest that Sam paced around the room less often as the seven weeks went by. This might have been a significant finding had it correlated with any other finding. According to Sam's teacher, Sam has not shown any improvement in staying in his seat since therapy started. It appears that this behavioral change cannot be generalized. It is possible that generalizing will take longer.

Table 2.1 Rate and Duration Pacing per Hour by Sam

  Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7
Minutes Per Pace 3.67 3.60 2.00 1.50 0.86 0.75 0.33
Rate per Minute 0.88 0.72 0.33 0.20 0.12 0.10 0.03

 

Rate and Duration Pacing per Hour by Sam

Rate and Duration Looks at Camera per Hour by Sam

Although the most significant decrease was in the rate and duration of looks to the camera (Table 3.1), it is possible that this is merely a result of getting used to the camera. Sam's behavior did not change significantly in other ways, so there is a big question as to the importance of this behavior. Another criticism of this measure is that it is not directly generalizable outside of the treatment room. One possible way to generalize this is by making the camera symbolic of people in Sam's life that he feels are always, but do not have any control over his life.

Table 3.1 Rate and Duration Looks to Camera per Hour by Sam

  Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7
Minutes per Look 1.67 1.87 0.75 0.00 0.75 0.45 0.30
Rate per Minute 0.30 0.30 0.20 0.00 0.06 0.008 0.005

 

Rate and Duration of Looks per Minute by Sam

Implications for Future Research

The most significant pattern that has emerged is that the changes in the identified behaviors do not correlate with the changes in the CAS scores. This would indicate a poor internal-consistency reliability between measures. Both measures did however strongly suggest that there was no significant improvement in Sam's anxiety. One of the difficulties of this case is that the client has a known history of sexual abuse and trauma, but he has yet to present it. As a result, much of the literature that addresses PTSD is not currently relevant to our treatment; much of the PTSD treatment literature focuses on revisiting the trauma, systematic desensitization, corrective emotional experiences, and other techniques that require the client to not only share the trauma, but be willing to deal with it. Currently, Sam is working at his own pace; we are slowly building up trust and he let me know last week that he had something important that he was wanting to tell me in the next couple of weeks. It appears that a longer time frame would be important in doing a research design with Sam, unless the focus of the research is the trusting relationship.

 

References

American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, D.C.: Author.
Bird, H.R., Gould, M.S., & Staghezza, B.M. (1993). Patterns of diagnostic comorbidity in a community sample of children aged 9-16 years. Journal of the American Academy of Child and Adolescent Psychiatry, 32(2), 361-368.
Bird, H.R., Gould, M.S., & Staghezza-Jaramillo, B.M. (1994). The comorbidity of ADHD in a community sample of children aged 6 through 16 years. Journal of Child & Family Studies, 3(4), 365-378.
Bloom, M., Fischer, J., & Orme, J.G. (1995). Evaluating practice: guidelines for the accountable professional, (2nd ed.). Boston: Allyn and Bacon.
Boulenger, J.P., & Boyer, P. (1994). Mixed anxiety and depression: Clinical issues. European Psychiatry, 9(2), 219S-226S. [abstract]
Curry, J.F., & Murphy, L.B. (1995). Comorbidity of anxiety disorders. In J.S. March (Ed.), Anxiety disorders in children and adolescents. New York:Guilford Press.
Gross, A.M., & Drabman, S.N. (1982). Teaching self-recording, self-evaluation, and self-reward to nonclinic children and adolescents. In P. Karoly & F.N. Kanfer (Eds.). Self-management and behavior change: from theory to practice (pp. 285-314). New York: Pergamon Press.
Hamman, C., & Compas, B.E. (1994). Unmasking unmasked depression in children and adolescents: The problem of comorbidity. Clinical Psychological Review, 14(6), 585-603. [abstract]
Hollon, S.D., & Beck, A.T. (1994). Cognitive and cognitive-behavioral therapies. In A. Bergin,& S. Garfield, (Eds.). Handbook of psychotherapy and change. (pp. 428-466). New York: John Wiley & Sons, Inc.
Hubbard, J., Realmuto, G.M., Northwood, A.K., & Masten, A.S. (1995). Comorbidity of psychiatric diagnoses with posttraumatic stress disorder in survivors of childhood trauma. Journal of the American Academy of Child & Adolescent Psychiatry, 34(4), 1167-1173.
Kanfer, F.N., & Karoly, P. (1982). The psychology of self-management: Abiding issues and tentative directions. In P. Karoly & F.N. Kanfer (Eds.). Self-management and behavior change: from theory to practice (pp. 571-599). New York: Pergamon Press.
Kazdin, A.E. (1994). Psychotherapy for children and adolescents. In A. Bergin,& S. Garfield, (Eds.). Handbook of psychotherapy and change. (pp. 543-594). New York: John Wiley & Sons, Inc.
Kazdin, A.E. (1991). Effectiveness of psychotherapy with children and adolescents. Journal of Consulting and Clinical Psychology, 59, 785-798.
Kendall, P.C. (1985). Toward a cognitive-behavioral model of child psychopathology and a critique of related interventions. Journal of Abnormal Child Psychology, 13(3), 357-372.
Kendall, P.C., & Braswell, L. (1993). Cognitive-behavioral therapy for impulsive children (2nd ed.). New York: The Guilford Press.
Kendall, P.C., & Panichelli-Mindel, S.M. (1995). Cognitive-behavioral treatments. Journal of Abnormal Child Psychology, 23(1), 107-124.
Lilienfeld, S.O., Waldman, I.D., & Israel, A.C. (1994). A critical examination of the use of the term and concept of comorbidity in psychopathology research. Clinical Psychology-Science & Practice, 1(1), 71-83.
Magg, J.W., & Kotlash, J. (1994). Review of stress inoculation training with children and adolescents: issues and recommendations. Behavior Modification, 18(4), 443-469.
Meyer, A.W., & Craighead, W.E. (1984). Cognitive behavior therapy with children. New York: Plenum Press.
Nottlemann, E.D., & Jensen, P.S. (1995). Comorbidity of disorders in children and adolescents: Developmental perspectives. Advances in Clinical Child Psychology, 17, 109-155.
Shafii, M., & Shafii, S.L. (1992). Clinical guide to depression in children and adolescents. Washington, D.C.: American Psychiatric Press, Inc.
Stark, K.D., Kaslow, N.J., & Laurent, J. (1993). The assessment of depression in children: Are we assessing depression or the broad-band construct of negative affectivity? Journal of Emotional & Behavioral Disorders. 1(3), 149-154.
Vitulano, L.A., & Tebes, J.K. (1991). Child and adolescent behavior therapy. In M. Lewis (Ed.). Child and adolescent psychiatry: A comprehensive textbook. Baltimore, MD: Williams & Wilkins.
Wilkes, T.C.R., Belsher, G., Rush, J.A., & Frank, E. (1994). Cognitive therapy for depressed adolescents. New Yok: The Guilford Press.
Zarb, J.M. (1992). Cognitive-behavioral assessment and therapy with adolescents. New York: Brunner/Mazel, Publishers.

This paper was HTML formatted by Jonathan Singer on February 24, 1997.
Back to top | Back to Index of Papers