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Value of a One-Item OCD Severity Perception Screener

Abstract

 Obsessive compulsive disorder (OCD) is a debili- tating mental illness comprised of unwanted obsessions followed by repetitive rituals (American Psychiatric Association, 2000). The gold standard for measuring OCD severity is the Yale-Brown Obsessive-Compulsive Scale (YBOCS; Goodman et al. Archives of General Psychiatry, 46(11), 1006–1011, 1989). This study sought to understand how well individuals with OCD reported their severity levels through the use of a one-item severity perception screener compared to the YBOCS and the impact that the accuracy of this rating can have on disability and motivation. Data were collected from assessments from a free and openly available OCD self-help internet website. Findings conclude that indi- viduals with OCD have a good understanding and ability to accurately rate their OCD severity level and warrant additional research to determine if a one-item OCD severity perception screener can serve as a quick assessment tool to help under- stand one’s OCD severity level. Additionally, findings from this study conclude that inaccurately understanding one’s OCD severity level is associated with disability and motiva- tion levels around wanting to keep one’s OCD versus chal- lenge it. Future research should examine the validity of a one- item OCD severity perception screener and further examine the impact inaccurately rating one’s severity level has on dis- ability, motivation, treatment, and treatment outcomes.

Keywords OCD . Severity . Screener . Disability . Motivation

Introduction

Obsessive-compulsive disorder (OCD) is a chronic, debilitat-
ing disorder characterized by recurrent, intrusive thoughts, ideas, or images that are experienced as unwanted (obses- sions), followed by repetitive acts or mental rituals performed to reduce resulting anxiety (compulsions) (American Psychiatric Association, 2000). OCD is estimated to affect 2% of the global population (Bjorgvinsson, Hart, & Heffelfinger, 2007), making it the fourth most common psy- chological disorder after depression, substance abuse, and phobias (Masellis, Rector, & Richter, 2003). Individuals with OCD may spend up to 10 years before seeking treatment (Rasmussen & Tsuang, 1984) and up to 17 years prior to obtaining effective treatment (Jenike, 2004). Although effec- tive empirically based interventions for OCD exist, only 40.5% of individuals with the disorder receive adequate treat- ment (Hollander & Wong, 1998), and an estimated 25% of individuals refuse treatment (Franklin & Foa, 1998); illness perception of one’s OCD may play a role in this lack of treatment-seeking behavior. Illness perceptions are the beliefs that individuals have about their mental illness and their un- derstanding of the symptoms associated with the condition (Petrie, Jago, & Devcich, 2007). These perceptions may cause individuals with OCD to overrate or underrate their symptom severity, which may impact treatment outcomes. Perception of one’s mental illness may have a significant impact on coping strategies, treatment perception, and medication adherence (Brown et al., 2001; Hagger & Orbell, 2003; Fortune, Barrowclough, & Lobban, 2004; Karasz, Sacajiu, & Garcia, 2003; Kucukarslan, 2012; Lobban, Barrowclough, & Jones, 2002). Although illness perception is recognized as an impor- tant factor in properly diagnosing mental health disorders, only one study to date has investigated it as a predictor of seeking treatment for OCD. Fernandez de la Cruz et al. (2015) explored illness perceptions and health-seeking atti- tudes about OCD and concluded that a lack of knowledge and understanding about the disorder and available treatment options influenced perception of OCD symptomology and subsequent treatment-seeking behavior. These findings sug- gest that perception of one’s illness can impact attitudes about accessing appropriate care for the disorder. An additional gap in the literature is the lack of understanding of illness percep- tion in relation to the negative effects of psychiatric disability. Such perceptions may present as another barrier for individ- uals in accessing care and seeking treatment for their OCD.

Poor mental health literacy is cited as an impediment for individuals seeking treatment for OCD (Coles, Heimberg, & Weiss, 2013). In a study that explored the attitudes of individ- uals regarding psychotherapy, participants reported insuffi- cient knowledge about the signs and symptoms of mental health problems and found it difficult to discern when a con- dition had reached a stage that required professional services (Thompson, Bazile, & Akbar, 2004). As a result, mental health literacy may strongly affect understanding and percep- tion of one’s psychological symptoms, thereby influencing desire to seek proper treatment. Another study examined the effects of mental health literacy for generalized anxiety disor- der (GAD), social anxiety disorder (SoAD), and major depres- sive disorder (MDD), and discovered that participants underrated mild and moderate SoAD cases, underrated GAD cases at all severity levels, and overrated all MDD cases (Paulus, Wadsworth, & Hayes-Skelton, 2015). These findings indicate that mental health literacy directly impacts whether individuals can accurately understand their mental health symptoms, which may contribute to a deficit in accessing appropriate care.

Additionally, self-perception and knowledge of one’s men- tal illness may directly impact motivation to change in relation to OCD. An individual’s motivation level is a pivotal factor in psychological treatment (Drieschner, Lammers, & van der Staak, 2004), and lack of motivation has been cited as a reason for treatment dropout, failure to comply, frequency of relapse, and other negative treatment outcomes (Ryan, Plant, &

 

O’Malley, 1995). Because treatment for OCD is associated with high levels of discomfort and requires active participa- tion during and between treatment sessions, an individual’s motivation to change can predict treatment response and re- duce the likelihood of premature termination of treatment (Vogel, Hansen, Stiles, & Götestam, 2006).

A gap in literature exists between illness severity percep- tion and severity levels, disability and its relationship with motivation to change in a sample of individuals with OCD. To date, no published studies have examined the relationship between OCD severity perception and OCD severity scores per measurement outcomes. The aim of this study is to eval- uate self-perception of OCD compared with a validated OCD measurement, explore perception and its relationship with psychiatric disability, and determine if a relationship exists between OCD severity perception and motivation to change in the treatment of OCD. Overall, this study seeks to under- stand if there is value in a one-item severity screener for OCD as evident by whether individuals with OCD have good in- sight into their illness severity as illustrated by accurately accessing their severity level.

 

Methods

 

The OCD Challenge (ocdchallenge.org/com) is a free, interactive self-help website designed for individuals with OCD (McIngvale, Bordnick, & Hart, 2015) and is the site of data collection (secondary data) for this internet-based re- search study. The OCD Challenge site was used as our data source to address our research question evaluating a one-item severity measure for OCD. The institutional review board (IRB) at Baylor University has approved the use of data for this project. Website dissemination took place via standard website recruitment for the OCD Challenge program. Individual users who accepted the terms of agreement (consenting to their data being used for research) indicated their ages as 18 years or older and who completed assessments required for this study via the website (both the self-perception of OCD severity question and the initial assessment of the Yale-Brown Obsessive Compulsive Scale (YBOCS; Goodman et al., 1989)) were included. Eight hundred and sixty-six participants met inclusion criteria and were assessed for this study.

 

Measures

 

Various demographic questions are assessed through the OCD Challenge website, including a single-item measure used to determine users’ perception of their OCD severity. This ques- tion is assessed during the first phase of the website, prior to any formal measurements, by asking users to rate their OCD severity using response options including: mild, moderate,

severe, extreme, or would rather not say. Output from this assessment question is used throughout this study to assess self-perception of one’s OCD severity. Categories for assessing self-perception of OCD severity did not include the sub-clinical option, which the YBOCS measurement does; therefore, this category was collapsed into the mild category for analyses.

The YBOCS is a validated measure used to assess OCD severity through 10 questions, which are divided into two categories, five questions on obsessions and five on compul- sions (Goodman et al., 1989). Output measurement scores from the YBOCS lump individuals into one of five severity ratings: sub-clinical (0–7), mild (8–15), moderate (16–23),

severe (24–31), and extreme (32–40) (Goodman et al., 1989). Each website users’ first YBOCS score completed dur- ing the assessment phase of the website was used in this study. YBOCS measurement scores and individual responses to par- ticipants’ perception of their OCD severity were examined to establish if a relationship between self-perception and OCD severity per YBOCS outcomes was evident, as well as its relationship with disability and motivation for change. Internal consistency of the YBOCS within our study sample was excellent with a Cronbach’s alpha of .91.

Website participants were also evaluated using the Sheehan Disability Scale (SDS; Sheehan, Sheehan, & Raj, 1996) to examine whether a relationship among OCD severity percep- tion, YBOCS severity scores, and disability was present. The SDS is a validated scale used to assess disability in three different areas: work/school, social, and family life. Selection options for the scale’s various categories include the following: not at all, mildly, moderately, markedly, and extreme (Sheehan et al., 1996). Internal consistency of the SDS within our sample was good with a Cronbach’s alpha of .86.

Participants’ motivation for change was measured via out-

put on the motivation scale completed by users of the OCD Challenge program. This scale was created as a way for indi- viduals to assess their feelings and beliefs about changing their OCD and is divided into two categories: (1) why challenge my OCD and (2) why keep my OCD. Individuals can select ap- plicable examples within each category and are provided with an option to describe their own reasons to challenge versus keep their OCD. Once the scale has been completed, a bar graph is generated depicting users’ motivation levels for fight- ing versus keeping one’s OCD. This scale was used to assess motivation for change and was compared to OCD severity perception.

 

Participants

 

The present study included 866 participants ranging from 18 to 72 years of age (M = 32.65, SD = 11.33). The sample was slightly skewed toward female (62.2%), and a majority

 

(77.9%) was Caucasian followed by Asian/Pacific Islander (6.9%) and individuals who preferred not to disclose (4.7%). The majority of participants identified as Christian (36.1%), followed by non-religious (22.4%) and Catholic (18.4%).

All participants in the present study self-identified with OCD symptoms and visited the OCD Challenge website. The onset for OCD symptoms ranged from 0 to 66 years of age (M = 15.55, SD = 8.91). The most frequent method of referral to the OCD Challenge website was the internet (25.5%), followed by Google (20.6%), a professional (18.4%), and the International Obsessive Compulsive Foundation (18.0%). Severe was the most endorsed self- rating of symptoms (41.5%) followed by moderate (39.7%) and extreme (11.9%).

 

Results

 

Comparisons of the one-item self-reported severity perception level (severity perception) to measured YBOCS scores (mea- sured symptom severity) revealed that the majority of partic- ipants accurately reported severity ratings (N = 452, 52.2%). Just over a quarter of participants under-reported the severity of their symptoms (N = 232, 26.8%), followed by those who over-reported (N = 182, 21.0%) (see Table 1). Further break- down of comparisons, shown in Table 2, revealed that a rating

of Bsevere^ had the highest level of agreement (21.5%), followed by Bmoderate^ (20.2%), Bextreme^ (7.4%), and fi- nally Bmild^ (3.2%). Rater agreement was calculated using Cohen’s kappa, which revealed fair agreement

(Kappa = 0.30; p < 0.001).

Utilizing the groupings of participants who over-reported, under-reported, or accurately reported their symptoms, com- parisons of means were calculated using analyses of covari- ance (ANCOVAs) controlling for measured symptom severity category, and post hoc comparisons using a Bonferroni pro- cedure. Analyses examined motivations for treatment and dis- ability. Motivations for treatment were measured by partici- pants’ reasons for both managing and keeping their symp- toms. The covariate, measured symptom severity was signif- ic antly r elated to managing their s y m ptoms [F(1862) = 41.351, p < 0.001, r = 0.21]. There was also a significant effect of illness severity perception on managing symptoms after controlling for measured symptom severity [F(2,862) = 5.052, p = 0.007, partial η2 = 0.012]. Planned contrasts revealed that over-reporting symptoms was signifi- cantly related to an increase in the reasons for managing symptoms compared to both those who accurately reported [t(862) = −1.073, p = 0.002, r = 0.10] and under-reported [t(862) = −1.204, p = 0.006, r = 0.09] symptoms (Table 3). The covariate measured symptom severity was significantly related to keeping their symptoms [F(1,862) = 53.082, p < 0.001, r = 0.24]. There was no significant effect of illness

Table 1 Comparisons of the one-item self-report- ed severity perception level to measured YBOCS scores

Category                               N (%)

 
  

Under report                          232 (26.8)

Accurate report                      452 (52.2)

Over report                           182 (21.0)

                                                         

Table 3     Means and standard error after controlling for severity

 
  

Under report  Accurate report  Over report

Managing motivations

10.20 (0.26)

10.33 (0.17)

11.40 (0.30)

Keeping motivations

3.12 (0.18)

3.34 (0.12)

3.17 (0.21)

SDS total

14.14 (0.42)

17.29 (0.27)

21.45 (0.48)

SDS work

4.07 (0.19)

5.28 (0.12)

6.45 (0.21)

SDS social

5.15 (0.16)

6.17 (0.10)

7.66 (0.18)

SDS family

4.96 (0.16)

5.84 (0.11)

7.34 (0.19)

M (SE)            M (SE)               M (SE)

severity perception on keeping symptoms after controlling for the effect of measured symptom severity [F(2,862) = 0.667, p = 0.514, partial η2 = 0.002]. Planned contrasts revealed no significant difference between those who over- and under- reported symptoms [t(862) = −0.047, p = 0.876, r = 0.01] and those who accurately and over-reported their symptoms [t(862) = 0.168, p = 0.481, r = 0.02].

Disability was measured using the SDS and was calculated using the total score, as well as the family, social, and work subscales. The covariate, measured symptom severity was si gnificantly rel a t e d t o overal l disabili ty [F(1,862) = 583.213, p < 0.001, r = 0.63], as well as its sub- scales work [F(1,862) = 338.571, p < 0.001, r = 0.53], family [F(1,862) = 408.752, p < 0.001, r = 0.57], and social [F(1,862) = 457.782, p < 0.001, r = 0.59]. There was also a

significant effect of illness severity perception on overall dis- ability after controlling for measured symptom severity [F(2,862) = 55.213, p < 0.001, partial η2 = 0.114]. Similar significant results were found for the SDS subscales work [F(2,862) = 30.420, p < 0.001, partial η2 = 0.066], family [F(2,862) = 38.839, p < 0.001, partial η2 = 0.083], and social [F(2,862) = 46.052, p < 0.001, partial η2 = 0.098].

Planned contrasts for overall SDS revealed that over- reporting symptoms was significantly related to an increase in disability compared to both those who accurately reported [t(862) = −4.158, p < 0.001, r = 0.25] and under-reported [t(862) = −7.305, p < 0.001, r = 0.33] symptoms. This same pattern held true across all SDS domains: work [accurate: t (862) = − 1. 173, p < 0 .001, r = 0.16; under:

t(862) = −2.379, p < 0.001, r = 0.26], family [accurate:

t (862) = − 1. 499, p < 0 .001, r = 0.23; under:

t(862) = −2.382, p < 0.001, r = 0.29], and social [accurate:

t(862) = −1.486, p < 0.001, r = 0.24; under: t(862) = −2.544,

p < 0.001, r = 0.31].

Table 2     Breakdown of comparisons Self-report                    YBOCS category

Mild       Moderate       Severe       Extreme       Total

Mild

28

23

9

0

60

Moderate

52

174

109

9

344

Severe

10

81

186

82

359

Extreme

0

10

29

64

103

Total

90

288

333

155

866

Finally, Pearson’s chi-squared test was conducted to deter- mine the relationship between gender and illness perception. Results revealed a significant association between gender and perception χ2 (2) = 13.83, p = 0.001. Based on the odds ratios, compared to those on target, females were more likely to under-report their symptoms (OR = 1.64) and less likely to over-report their symptoms (OR = 0.77) than males (see Table 4). No differences were found by race and ethnicity.

Discussion

Findings from this research study suggest that a majority of individuals with OCD have an accurate perception and under- standing of their symptom severity. Individuals who report their symptoms differently from their measured YBOCS rat- ings are most likely to under-report their severity with females more likely to under-report their OCD severity compared to males. Individuals who under-report their OCD severity have higher levels overall of OCD severity per YBOCS measure- ment outcomes than individuals who over-report their symp- tom severity. Individuals who under-report their symptom se- verity report more reasons to keep their OCD, whereas indi- viduals who over-report report less reasons for wanting to keep their OCD. Additionally, our results suggest that over- reporting significantly correlates to disability levels. Individuals who over-report their OCD severity levels have higher levels of disability than individuals who are both on target and under report, which could be due to a general infla- tion in overall reporting, or possibly due to a lack of mental health awareness, so further research is needed.

Our findings indicate that inaccurate perception of OCD severity correlates with overall measured severity, disability, and motivation for change. This comports with the literature surrounding perception of illness severity and the impact it can have on mental health issues. Our most meaningful find- ing indicated that the majority of participants with OCD re- ported their illness severity accurately; therefore, simply ask- ing patients with OCD to rate their OCD severity may serve as an accurate way to understand symptom severity without the need for a full severity measure via the YBOCS.

Table 4 Association between gender and perception

 

 

Gender

 

Female

Male

Total

Under report

Count

166

66

232

 

% within perception

71.6%

28.4%

100.0%

 

% within gender

30.8%

20.4%

26.8%

 

% of total

19.2%

7.6%

26.8%

Accurate report

Count

274

178

452

 

% within perception

60.6%

39.4%

100.0%

 

% within gender

50.8%

54.4%

52.2%

 

% of total

31.6%

20.6%

52.2%

Over report

Count

99

83

182

 

% within perception

54.4%

45.6%

100.0%

 

% within gender

18.4%

25.4%

21.0%

 

% of total

11.4%

9.6%

21.0%

Total

Count

539

327

866

 

% within perception

62.2%

37.8%

100.0%

 

% within gender

100.0%

100.0%

100.0%

 

% of total

62.2%

37.8%

100.0%

Collaborating with patients by getting their global impression of their illness severity may provide clinicians with valuable information to best plan and initiate treatment with clients in a timely manner. The YBOCS remains the recommended mea- surement tool to fully capture OCD severity levels; however, a simple one-item question when compared to a validated in- strument may reveal important diagnostic information that could aid in addressing areas of disability and promoting mo- tivation to change.

 

 

 

 

 

 

Limitations/Future Directions

Despite the significant findings of the present study, limita- tions must be noted. The OCD Challenge does not have a formal diagnostic assessment and is a voluntary self-help website for individuals who self-identify with OCD. All mea- sures are completed individually by participants of the website in an informal research setting. Assessments used in this study, including the self-perception of OCD severity measure and the managing OCD symptoms measure are not validated measures, both of these measures were developed for the website and are informal measures used to capture an under- standing of these areas. The managing OCD symptoms mea- sure (motivation scale) is a measure that can be edited throughout the program; therefore, there is a possibility that some of the responses from the motivation scale may have been edited since original entry. Additionally, findings from this study are referenced for a self-identified OCD population. Individuals who do not self-identify as having OCD may not have similar symptom and diagnosis awareness. In such cases, a formal, more detailed measure such as the YBOCS may be better suited for a non self-identifying group versus a one-item screener.

Future research should further examine the differences in individuals who are not accurately rating their OCD severity and examine reasons for our findings, including reasons for higher levels of disability with discrepant severity reporting. Furthermore, future directions should address a validated measurement for motivation for change within an OCD sam- ple with comparisons to severity perception ratings, and the motivation for change assessment should be assessed simul- taneously with the other reported measures. Further research should address self-perception of OCD with the sub-clinical category option to match the YBOCS, as it was noted previ- ously that this was not available in the present data. Finally, future studies should address self-perceptions of OCD and its impact specifically related to access to care and treatment outcomes. The overall severity levels of the users of this website proved to be in much higher ranges than should be expected within a self-help cohort. As such, a need for re- search regarding access to care across severity levels is evident.

 

Conclusion

 

Although previous literature concerning perceptions of mental illness symptom severity exists, there are no reported studies to date addressing OCD severity perceptions and its impact on individuals with OCD. Within our cohort a significant rela- tionship exists regarding OCD symptom perception and sub- sequent factors. Our findings indicate that inaccurate knowl- edge of one’s OCD symptom severity directly correlates with motivation for treatment and disability. With an increased un- derstanding of one’s illness and insight into its severity level, disability and motivation for change may be positively im- pacted. Continued research focusing on perception of OCD severity is warranted in order to confirm these findings and to better understand the impact they can have on education around OCD, treatment, and treatment outcomes. Additionally, our findings suggest that a basic question of asking individuals to rate their OCD severity level may be as meaningful as a standardized measure. Our findings indicated that majority of individuals in our study accurately rated their OCD symptom severity in a one-item OCD severity percep- tion screener. Incorporating a simple one-item severity screen- er in which clinicians ask clients to rate their perceived OCD severity levels may have a positive impact on clinicians, cli- ents, and the mental health field. A one-item question regard- ing symptom severity decreases assessment time and em- powers clients through the strength of their self-report. Future studies should further explore the efficacy of a one- item severity measure for OCD.

 

References

 

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, D.C.: Author.

Bjorgvinsson, T., Hart, J., & Heffelfinger, S. (2007). Obsessive- compulsive disorder: update on assessment and treatment. Journal of Psychiatric Practice, 13(6), 362–372.

Brown, C., Dunbar-Jacob, J., Palenchar, D. R., Kelleher, K. J., Bruehlman, R. D., Sereika, S., & Thase, M. E. (2001). Primary care patients’ personal illness models for depression: a preliminary inves- tigation. Family Practice, 18(3), 314–320.

Coles, M. E., Heimberg, R. G., & Weiss, B. D. (2013). The public’s knowledge and beliefs about obsessive compulsive disorder. Depression and Anxiety, 30, 778–785.

Drieschner, K. H., Lammers, S. M. M., & van der Staak, C. P. F. (2004). Treatment motivation: an attempt for clarification of an ambiguous concept. Clinical Psychology Review, 23, 1115–1137.

Fernandez de la Cruz, L. F., Kolvenbach, S., Vidal-Ribas, P., Jassi, A., Llorens, M., Patel, N., Weinman, J., Hatch, S. L., Bhugra, D., & Mataix-Cols, D. (2015). Illness perception, help-seeking attitudes, and knowledge related to obsessive-compulsive disorder across dif- ferent ethnic groups: a community survey. Social Psychiatry and Psychiatric Epidemiology, 51(3), 455–464.

Fortune, G., Barrowclough, C., & Lobban, F. (2004). Illness representa- tions in depression. British Journal of Clinical Psychology, 43, 347– 364.

Franklin, M. E., & Foa, E. B. (1998). Cognitive-behavioral treatments for obsessive-compulsive disorder. In P. E. Nathan & J. M. Gorman (Eds.), A guide to treatments that work. New York: Oxford University Press.

Goodman, W. K., Price, L. H., Rasmussen, S. A., Mazure, C., Fleischmann, R. L., Hill, C. L., & Charney, D. S. (1989). The Yale-Brown obsessive compulsive scale. I. Development, use, and reliability. Archives of General Psychiatry, 46(11), 1006–1011.

Hagger, M. S., & Orbell, S. (2003). A meta-analytic review of the common-sense model of illness representations. Psychology and Health, 18(2), 141–184.

Hollander, E., & Wong, C. (1998). Psychosocial functions and economic costs of obsessive-compulsive disorder. CNS Spectrums, 3(S1), 48– 58.

Jenike, M. A. (2004). Clinical practice. Obsessive-compulsive disorder.

New England Journal of Medicine, 350(3), 259–265.

 

Karasz, A., Sacajiu, G., & Garcia, N. (2003). Conceptual models in psy- chological distress among low-income patients in an inner-city pri- mary care clinic. Journal of General Internal Medicine, 18, 475– 477.

Kucukarslan, S. N. (2012). A review of published studies of patients’ illness perceptions and medication adherence: lessons learned and future directions. Research in Social and Administrative Pharmacy, 8(5), 371–382.

Lobban, F., Barrowclough, C., & Jones, S. (2002). A review of the role of illness models in severe mental illness. Clinical Psychology Review, 23, 171–196.

Masellis, M., Rector, N., & Richter, M. (2003). Quality of life in OCD: differential impact of obsessions, compulsions, and depression co- morbidity. Canadian Journal of Psychiatry, 48, 72.

McIngvale, E., Bordnick, P. S., & Hart, J. (2015). A self-help website for obsessive compulsive disorder: who is accessing the website? Journal of Technology in Human Services, 33(2), 191–203. doi: 10.1080/15228835.2015.1027030.

Paulus, D. J., Wadsworth, L. P., & Hayes-Skelton, S. A. (2015). Mental health literacy for anxiety disorders: how perceptions of symptom severity might relate to recognition of psychological distress. Public Mental Health, 14(2), 94–106.

Petrie, K. J., Jago, L. A., & Devcich, D. A. (2007). The role of illness perceptions in patients with mental conditions. Current Opinion of Psychiatry, 20(2), 163–167.

Rasmussen, S. A., & Tsuang, M. T. (1984). The epidemiology of obses- sive compulsive disorder. Journal of Clinical Psychiatry, 45, 430– 457.

Ryan, R. M., Plant, R. W., & O’Malley, S. O. (1995). Initial motivations for alcohol treatment: relations with patient characteristics, treatment involvement, and dropout. Addictive Behaviors, 20, 279–297.

Sheehan, D. V., Sheehan, K., & Raj, B. A. (1996). The measurement of disability. International Clinical Psychopharmacology, 11, 89–95. doi:10.1097/00004850-199606003-00015.

Thompson, V. L., Bazile, A., & Akbar, M. (2004). African Americans’ perceptions of psychotherapy and psychotherapists. Professional Psychology: Research and Practice, 35(1), 19–26.

Vogel, P. A., Hansen, B., Stiles, T. C., & Götestam, K. G. (2006). Treatment motivation, treatment expectancy, and helping alliance as predictors of outcome in cognitive behavioral treatment of OCD. Journal of Behavior Therapy and Experimental Psychiatry, 37(3), 247–255 https://doi.org/10.1016/j.jbtep.2005.12.001.



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