Patient Preference and Adherence
open access to scientific and medical research
A review of studies concerning treatment
adherence of patients with anxiety disorders
This article was published in the following Dove Press journal: Patient Preference and Adherence22 August 2011Number of times this article has been viewed
Objective: This paper aimed at describing the most consistent correlates and/or predictors of
nonadherence to treatment of patients with different anxiety disorders. Method: The authors retrieved studies indexed in PubMed/MedLine, PsycINFO, and ISI Web
of Knowledge using the following search terms: attrition OR dropout OR attrition rates OR
patient dropouts OR treatment adherence AND anxiety disorders. Research was limited to
articles published before January 2010. Results: Sixteen studies were selected that investigated the impact of sociodemographic, clini-
cal, or cognitive variables on adherence to treatment for anxiety disorders. While no consistent
pattern of sociodemographic or clinical features associated with nonadherence emerged, all studies that investigated cognitive variables in panic disorder, social anxiety disorder, and obsessive-compulsive disorder found that expectations and opinions about treatment were related to adherence. Conclusion: The findings of this study suggest that it is essential to consider anxiety disorder patients’ beliefs about illness and treatment strategies to increase their compliance with the therapeutic plan. Keywords: attrition, dropout, OCD, obsessive-compulsive disorder, social anxiety disorder Introduction Pathological anxiety and fear, ie, functioning impairing mood states associated with preparation for possible or imminent negative events, are the core features of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) anxiety disorders. Current conditions subsumed under its epithet include, among others, generalized anxiety disorder, obsessive-compulsive disorder (OCD), panic disorder, agoraphobia, specific phobias, social anxiety disorder (SAD) or “social phobia,” posttraumatic stress disorder, and acute stress disorder. Epidemiological studies show that anxiety disorders are the most common class of mental disorders, affecting up to 28.8% of the general population at some point during their lives.1 People with anxiety disorders present significant functional and occupational impairments. In addition, they use public health services more often, thus leading to greater financial expenditures.1,2 These findings illustrate the importance of access to treatment and adherence to therapeutic strategies for patients with these conditions.
Although the dropout rate of patients with various psychiatric disorders for treat-
ments in progress is approximately 50%,3–5 the situation for anxiety disorders may
be particularly problematic. For instance, it has been suggested that up to 85% of
patients with social phobia who were initially interviewed do not attend follow-up
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Patient Preference and Adherence 2011:5 427–439
2011 Santana and Fontenelle, publisher and licensee Dove Medical Press Ltd. This is an Open Access
article which permits unrestricted noncommercial use, provided the original work is properly cited.
treatment sessions.2 Although no clear information on the
clinical, functional, and economic impact of treatment drop-
A MedLine search resulted in 287 studies, of which 10 met
out anxiety disorders is available, the high level of attrition
the inclusion criteria. A PsycInfo search found 304 stud-
compromises the effectiveness of treatment. Identifying the
ies, of which two satisfied the inclusion criteria; however,
risk factors for dropout in patients with anxiety disorders
these studies had already been selected in the MedLine
would allow clinicians to develop strategies that promote
search. Finally, an ISI Web of Knowledge search resulted
higher adherence to an established therapeutic plan (either
in 318 articles, of which five met inclusion criteria, four of
which had already been identified in the MedLine search.
The objective of this review is to identify the sociodemo-
Another five relevant articles were found in the references of
graphic, clinical, and cognitive variables that predict attrition/
these studies that had not appeared in the database searches.
dropout from different DSM-IV anxiety disorder treatments.
Thus, a total of 16 articles were selected. A psychologist and
Of note, studies including treatment adherence of patients
a psychiatrist evaluated all of these articles jointly.
with major depressive disorder with concomitant anxiety
The data were organized into two subsections. The first
symptoms were excluded for not describing individuals with
part (Studies’ designs) addressed the informative value of
a primary anxiety disorder. The authors of this present review
the reviewed studies, while the second one (Studies’ results)
hypothesize that patients with lower socioeconomic levels,
described the results that can be inferred from these studies.
less education, more comorbidities, and negative beliefs or
The first subsection included tables listing studies that inves-
expectations regarding treatment will be more likely to drop
tigated treatment adherence in anxiety disorders in general
out before completion compared with those without these
(Table 1), in panic disorder (Table 2), in SAD (Table 3), and
in OCD (Table 4), their sample sizes, the type of treatments they offered and/or were applied, the instruments that were
employed, the attrition and dropout treatment indices, and the
The authors of this review identified studies that investigated
cognitive, clinical, and sociodemographic variables that pre-
predictors of attrition/dropout for anxiety disorder treatments
dicted these features. The second subsection included one table
through searches on PubMed/MedLine, PsycInfo, and ISI
(Table 5) describing the results associated with each potential
Web of Knowledge. The following search terms were used:
predictor. This latter table describes the potential predictor, the
attrition OR dropout OR attrition rates OR patient dropouts
number of studies investigating it, and the number of studies
OR treatment adherence AND anxiety disorders. Research
reporting a positive or negative association with adherence.
was restricted to articles published before January 2010. Additionally, the references of the selected studies were exam-
ined to find others related to the subject matter of interest.
A total of 16,766 patients with anxiety disorders were
Studies that investigated adherence to pharmacological,
assessed with regard to treatment adherence, including
psychological, or both types of treatment in adults with a
13,085 patients from a single retrospective study using a large
primary diagnosis of anxiety disorder were included. The
managed care database. The impact of sociodemographic,
studies that were included evaluated both the absence of
clinical, and cognitive variables on adherence to treatment
treatment adherence after the initial interview but before
was evaluated in 14, 15, and seven studies, respectively.
the treatment had begun (ie, attrition) and the absence of
Seven papers assessed adherence to treatment in randomized
treatment adherence after the treatment had begun (ie,
controlled trials, six in naturalistic studies, three in open stud-
“ dropout”). Studies addressing attrition or dropout in
ies, and one in a retrospective study. One study combined data
randomized controlled trials, open studies, naturalistic
from an open and a controlled trial in a single analysis.
follow-ups, and retrospective assessments were included.
Most (12) studies assessed adherence to cognitive
Excluded studies were those that (1) focused on appraising
behavioral therapies, eight studies evaluated adherence to
the attrition or dropout of treatment in patients with pri-
pharmacotherapy, and three investigated adherence to the
mary major depression associated with secondary anxiety,
combined treatment. Three papers included assessment of
(2) described the index of attrition or dropout but did not
the three forms of treatment (pharmacotherapy, cognitive
evaluate its predictors, (3) investigated predictors of attrition
behavioral, or combined treatments). Treatment included
or dropout in children or adolescents with anxiety disorders,
serotonin reuptake inhibitors in four and individual cognitive
and (4) included qualitative methods.
behavioral treatment in five studies. Statistical analysis
submit your manuscript | Cognitive predictors Sociodemographic predictors of adherence Clinical predictors of adherence Attrition/ Instrument of treatment
Studies that investigate adherence to treatment for anxiety disorders in general
orry Questionnaire; MOSSF-12, Medical Outcome Study Short Form 12. Abbreviations: submit your manuscript Cognitive predictors of adherence Sociodemographic predictors of adherence Clinical predictors of adherence Attrition/ Instrument treatment
Studies that investigate treatment adherence for panic disorder
Abbreviations:
PDQ-R, Personality Diagnostic Questionnaire-Revised. submit your manuscript | Cognitive predictors of adherence Sociodemographic predictors of adherence Clinical predictors of adherence Attrition/ dropout rate Instrument Type of treatment
Studies that investigate treatment adherence in patients with SAD
Abbreviations: submit your manuscript Cognitive predictors of adherence Sociodemographic predictors of adherence Clinical predictors of adherence
ersion; HRSD: Hamilton Rating Scale for Depression. v
Attrition/ dropout rate Instrument Type of treatment
Studies that investigate treatment adherence in patients with OCD
Abbreviations:
ADQ, Adherence Determinants Questionnaire; TAS-P, Treatment Adherence Survey – Patient
submit your manuscript | Table 5 Sociodemographic, clinical, and cognitive predictors of treatment adherence in anxiety disorders and the number of studies assessing them Potential Positive correlation Negative correlation predictor of studies with dropout/attrition with dropout/attrition Sociodemographic aspects Anxiety disorders in general Clinical aspects Anxiety disorders in general Cognitive aspects Panic disorder Abbreviations: OCD, obsessive-compulsive disorder; SAD, social anxiety disorder.
also varied greatly, but most studies used chi-square tests,
regression analysis, and correlations to find the predictors
The same studies assessed the impact of participants’ sex on
Among these studies, Issakidis and Andrews4 studied
patients with various anxiety disorders and found that women
A summary of findings, describing different classes of socio-
dropped out of CBT more frequently than men.
demographic, clinical, and cognitive predictors of treatment adherence, is depicted in Table 5, along with the number of
studies assessing each dimension and the number of studies
Nine studies investigated the influence of education
showing a positive and negative association between each
level on treatment adherence in patients with anxiety
predictor and treatment adherence. Of note, for the sake of
disorders.2,4,6,11,13–17 Of these studies, four found significant
clarity, the data on sociodemographic aspects of different
results.2,6,13,17 In a univariate analysis, Grilo et al6 found that
anxiety disorders and the severity of key anxiety symptoms,
patients with panic disorder who dropped out of a treatment
comorbidities, and personality factors have been collapsed
trial comparing CBT, imipramine, and placebo had less
into single variables for each anxiety disorder.
education than those who completed treatment. However, a multivariate regression that controlled for other variables (eg,
sociodemographic characteristics, severity of panic disorder,
psychiatric comorbidity, attitude toward treatment, coping
Fourteen studies attempted to evaluate the impact of par-
style, and personality style) found that educational level did
ticipants’ age on treatment adherence.2,4–16 Coles et al2
not significantly contribute to dropouts, unlike family income
investigated the pre-treatment phase of a trial of group
cognitive-behavior therapy (CBT), phenelzine, and placebo
In the Coles et al2 SAD study, treatment-seeking people
for SAD. They found that these patients displayed a high pre-
with less education, who were non-Caucasian and either
treatment attrition rate (85%) and that older patients turned
unemployed or employed fulltime, were significantly more
down treatment more often than younger ones.
likely to schedule, but not attend, an initial interview.
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Furthermore, Coles et al2 conducted a logistic regression to
Similarly, in a study on adherence to pharmacological
determine the extent to which demographic variables deter-
treatments in 13,085 patients with anxiety disorders,
mined interview attendance. A model that included race,
Stein et al9 observed that patients who were treated by a
age, and level of education explained 70.7% of the variance
mental health specialist adhered to treatment more than those
who were not seen by a specialist. Finally, Grilo et al6 found
Keijsers et al17 studied 161 patients with panic disorder
that panic disorder patients with a history of previous and
and also found that educational level predicted treatment
brief treatments, defined by a Likert scale varying from 1 (no
adherence to CBT (panic control therapy). They found that
previous treatment) to 4 (more than a year of treatment), were
less education was associated with dropping out of treatment.
more susceptible to dropping out from a controlled treatment
Although educational level did not emerge as a predictor in a
trial with CBT, imipramine, and placebo compared with
univariate analysis, a regression model that included motiva-
tion found that educational level was significantly associated with dropping out of treatment.
Unlike the studies above, Santana et al13 conducted a
naturalistic follow-up study on 223 patients with OCD at a
Hunt and Andrews8 investigated 1045 patients who sought
university clinic for anxiety disorders that offered free phar-
CBT for anxiety disorders from 1986 to 1988. Of these
macological treatment. In that study, the follow-up time of
patients, 546 met the diagnostic criteria of panic disorder,
the patients (up to 10 years) was considered to be a measure
agoraphobia, SAD, and generalized anxiety disorder. Of
of treatment adherence. Through a logistic regression, the
these patients, 432 patients accepted treatment. The clinical
authors of that study found that patients with less education
variables investigated were diagnosis, the severity of psy-
chiatric symptom scale score (Symptoms Checklist-90 or SCL-90), the locus of behavioral control scale score and the
Eysenck Personality Inventory (EPI) neuroticism subscale
Seven studies investigated socioeconomic level, includ-
score. There were no significant differences found between
ing family income and employment status.2,4,6,7,13,16 Two
the group who completed treatment (n = 357) and those who
studies found significant differences between adherent
and nonadherent patients in terms of socioeconomic
Wingerson et al7 hypothesized that personality factors
levels.6,13 As previously described, Grilo et al6 found that
might contribute to dropping out of treatment. They inves-
panic disorder patients who dropped out of a treatment
tigated 112 patients with anxiety disorders treated with
trial comparing CBT, imipramine, and placebo presented
pharmacotherapy (including 5-hydroxytryptamine (5HT)
a significantly lower income than patients who continued
reuptake blockers, benzodiazepines, and 5HT agonists).
treatment. These findings were detected with regression
For panic disorder and generalized anxiety disorder patients
models. On the other hand, Santana et al13 used a linear
combined, early dropouts scored higher on total novelty
regression model to find that unemployed OCD patients
seeking of the Tridimensional Personality Questionnaire, as
remained in treatment longer at a public service compared
well as on the novelty-seeking traits of both disorderliness/
dislike of regimentation and impulsiveness. Patients who dropped out of treatment (40%) did not differ from those
who remained with regard to history of depression, alcohol
Santana et al13 examined 223 patients with OCD and found
or drug abuse, psychiatric hospitalization, attempted suicide,
a relationship between the patients’ places of residence and
treatment adherence. Patients who lived in the city where
Issakidis and Andrews4 investigated 731 patients who
the clinic was located remained in treatment longer than
sought and received treatment in a clinic specialized in
those who lived in a different city. Issakidis and Andrews4
anxiety disorders. To analyze the data, they defined two
used regression models to observe that patients with differ-
dependent variables: attrition in pre-treatment (either refusal
ent anxiety disorders who had at least one child and who
of treatment or nonappearance) and dropping out of treat-
were treated at a general clinic rather than by a specialist
ment once it has started. They analyzed primary psychiatric
in a mental health clinic were more likely to turn down the
diagnosis, severity of symptoms, psychiatric comorbidities,
and degree of incapacity. Attrition at pre-treatment (30.4%)
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was associated with primary diagnosis because patients with
CBT, medication, or both. They investigated six domains of
depression or another psychiatric disorder were more likely
variables: sociodemographic characteristics, severity of panic
to turn down treatment compared with those with panic
disorder, psychiatric comorbidities, attitude toward treat-
disorder. In addition, the presence of more severe depressive
ment, coping style, and personality style. After conducting
symptoms at the initial interview and selection for group
multivariate regressions, the authors of that study verified
(rather than individual) treatment also significantly predicted
that patients with higher Anxiety Sensitivity Index (ASI)
attrition. In total, 10.3% of patients dropped out of treatment,
scores and low agoraphobic avoidance were more likely to
and as in the pre-treatment phase, patients with comorbid
depression or depressive symptoms dropped out of treatment
As in the study above, Keijsers et al17 investigated 161
more often than those without these symptoms. Dropouts
patients with panic disorder who were offered CBT. The
also reported less severe symptoms before treatment but a
clinical variables investigated were the severity of symp-
greater impairment of physical health.
toms and dysfunctional personality traits. The severity of
Stein et al9 examined patients with various anxiety
symptoms was evaluated through three characteristics:
disorders who were offered pharmacological treatments
catastrophic agoraphobic cognition, agoraphobic avoid-
and found divergent results from those of Issakidis and
ance behavior, and the frequency of panic attacks via the
Andrews.4 According to Stein et al,9 patients with comorbid
Agoraphobic Cognitions Questionnaire and the Mobility
depression adhered to antidepressants (5HT and serotonin-
Inventory. Furthermore, these authors of that study evalu-
noradrenaline reuptake blockers) more than those without
ated psychopathic personality traits using the Personality
such a comorbidity. They argued that a possible reason for
Diagnostic Questionnaire-Revised to investigate whether
the lower rates of adherence in the nondepressed group was
patients with personality disorders or with higher scores on
the lower likelihood of mental health specialty care within
this scale were more likely to discontinue treatment. They
this population. In their analysis,9 significantly fewer patients
found no significant differences between dropouts (19.9%)
with anxiety alone, compared with patients with comorbid
depression, received mental health specialty care during the
Toni et al5 investigated 326 patients diagnosed with
panic disorder who were treated with antidepressants and
In summary, studies that investigated anxiety disorders in
followed up for 3 years. During this period, 179 (54.9%)
general differed from each other with regard to their method-
patients dropped out of treatment. The only statistically
ologies and results. The prevalence of dropouts varied from
significant difference between dropouts and those who
10.3% to 57.0%. Only one study investigated attrition during
completed treatment was a lower severity of panic disorder
pre-treatment.4 All of the studies investigated the impact of
comorbidities and the severity of symptoms4,7–9 in adherence.
To summarize, five studies investigated treatment adher-
However, only two studies4,9 found significant differences
ence in patients with panic disorder.5,6,11,17,18 Among this
between adherent and nonadherent patients, with divergent
sample, four studies5,6,11,17 investigated clinical variables
results. Specifically, one study found that patients with comor-
related to dropouts in patients with panic disorder and three
bid depression were more likely to turn down pre-treatment
studies included CBT.6,11,17 All of the studies evaluated the
and drop out from treatment4 compared with patients without
severity of panic disorder, but only two studies found signifi-
comorbidities, whereas another study found that patients with
cant findings, and these had divergent results. In one study,6
comorbid depression were more likely to adhere to treatment.9
patients with a more severe disorder withdrew from treatment more often than patients with a less severe disorder, whereas
the reverse was true in the other study.5 None of these four
Carter et al11 investigated 31 patients with panic disorder and
studies5,6,11,17 evaluated attrition in pre-treatment.
agoraphobia who were offered group CBT. The patients’ partners accompanied them to each session. The clinical vari-
ables investigated were the number of situations avoided and
Turner et al15 investigated 84 patients with SAD who
the severity of their panic disorder; however, no significant
met the criteria for generalized or circumscribed forms.
differences were found through a multivariate analysis.
These patients were randomly divided into three groups:
Grilo et al6 investigated 162 patients diagnosed with panic
(1) exposure, (2) atenolol, and (3) placebo pill. Thirteen
disorder, with or without agoraphobia, who were offered
(15.5%) patients selected for this study declined to participate
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in the treatment protocol. These patients presented lower
who already had a confirmed diagnosis and passed through
severity scores on the Anxiety Diagnostic Interview Schedule
the initial stages of treatment but who ultimately declined
(ADIS)-Reviewed scale. Among those who participated in
to participate. Two studies15,16 investigated the patients who
this study, nine (12.7%) patients dropped out of treatment
began treatment and dropped out; however, only one found
over the course of the 12-week program and differed from
that patients with less severe disease symptoms were more
those who completed treatment in terms of a lower disorder
severity as measured by the Fear Questionnaire Symptom Severity Scale and the Spielberger State-Trait Anxiety
Hansen et al12 investigated nonadherence to therapy in patients
Coles et al2 analyzed the treatment course for patients
with OCD who had undergone CBT. They compared groups
with SAD from the initial telephone contact to the begin-
of 15 dropouts and 15 patients who successfully completed a
ning of treatment. A total of 395 people made an initial
treatment that consisted of 10 sessions of exposure and response
telephone call; of these people, only 60 began treatment.
prevention. Patients who abandoned treatment without inform-
Thus, 85% of the patients who made initial contact with
ing their therapist during the study period were considered to be
the clinic did not begin treatment. Of the 395 patients who
nonadherent. The researchers analyzed the severity of OCD as
contacted the clinic, 131 completed an initial interview. Of
measured by the Leyton Obsessional Inventory (LOI) and per-
these patients, 126 people were diagnosed with SAD, and 60
sonality disorders determined using the Personality Diagnostic
patients accepted and began treatment. No significant differ-
Questionnaire-Revised. Patients who discontinued treatment
ences were found between the group who began treatment
had lower LOI disease-severity scores.
(n = 60) and those who did not (n = 66) with regard to the
Mataix-Cols et al10 investigated whether different symp-
following clinical variables: severity of symptoms, depres-
tom dimensions in patients with OCD were associated with
sive symptoms, quality of life (as measured by the Quality
treatment adherence and behavioral therapy response. They
of Life Inventory), and functional impairment (as measured
investigated patients who participated in a controlled clinical
by the Liebowitz Self-Rated Disability Scale).
trial of behavioral therapy either by computer or guided by a
Hofmann and Suvak16 also investigated 133 patients
clinician. They randomly selected 218 patients with OCD to
with SAD who sought group behavioral therapy or group
receive 10 sessions of treatment for (1) exposure and response
CBT in a center for anxiety at Boston University. Of the 133
prevention guided by computer and a manual, (2) exposure
patients, 34 (25.6%) dropped out of treatment. The authors
and response prevention guided by a behavioral therapist,
of that study investigated the following clinical variables:
and (3) relaxation guided by audiotape. After a 3-month
DSM-IV Axis-I diagnoses, anxiety and depression scores
follow-up, the patients in the first two groups (exposure by
(ie, the Social Phobia and Anxiety Inventory and the Beck
computer or therapist) similarly improved, and both groups
Depression Inventory, respectively), personality disorders,
improved more than the relaxation control group. Of the
and the index of disease severity stemming from social pho-
patients who received at least one visit for post-evaluation,
bia (as measured by the ADIS for DSM-IV [ADIS-IV]). They
153 completed the Yale-Brown Obsessive-Compulsive Scale
compared the clinical and sociodemographic variables of the
Checklist (Y-BOCS). The severity of obsessive-compulsive
group that completed treatment with those of the group who
symptoms at the beginning of treatment predicted response
dropped out and did not find significant differences.
to therapy, and serious symptoms at the outset of therapy
In summary, all of the studies reviewed here investigated
continued to be more critical at the conclusion of treatment.
the influence of clinical variables on the adherence to treat-
Patients with high scores on the sexual/religious dimension of
ment for SAD.2,15,16 Two studies2,15 analyzed attrition from
the Y-BOCS had poorer responses to exposure and response
treatment and obtained different results. Turner et al15 found
prevention treatment. Regression analyses revealed that high
that 15% of patients withdrew from study participation. Coles
scores on the hoarding dimension predicted dropouts.
et al2 found that 85% of people who sought clinical help
Mancebo et al14 validated an instrument (ie, the Treat-
withdrew before treatment. This between-study heterogeneity
ment Adherence Survey – patient version) that investigates
may be partially explained by the disparate approaches that
adherence to pharmacological and psychological treatments
the studies used to conduct their investigations. Coles et al2
in patients with OCD. This instrument is composed of two
began their investigation with the first phone call for treat-
parts. The first section investigates adherence to CBT, and the
ment, whereas Turner et al15 investigated attrition in patients
second section investigates adherence to pharmacotherapy.
submit your manuscript |
Mancebo et al14 selected 80 patients who participated in the
Grilo et al6 found significant differences in the attitudes of
Brown Longitudinal OCD Study. Of these patients, 28% did
dropout panic disorder patients regarding their treatment and
not adhere to CBT and 57% did not adhere to medication.
the reasons they provided with respect to the etiology of their
Those who did not adhere to CBT replied that they felt too
panic attacks. Patients who (1) attributed their panic attacks
anxious or fearful to participate in therapy (55%). These
to life stressors, (2) had less favorable attitudes toward their
same patients also had more severe obsessive-compulsive
treatment (group versus individual treatment), and (3) used
and depressive symptoms as evaluated by the Y-BOCS
a coping style based on social support were more likely to
and the Modified Hamilton Rating Scale for Depression,
respectively. Patients who did not adhere to medication more
Hofmann and Suvak16 investigated attrition in patients
frequently reported dissatisfaction with side effects (77%)
with panic disorder who sought, or were referred to, two
and anxiety or fear with respect to taking medication (41%).
clinics during the pre-treatment phase. One of the clinics
These patients also had more severe depressive symptoms
offered a pharmacological treatment, whereas the other
than those who adhered to treatment.
offered a psychological treatment. After an initial interview,
Santana et al13 also investigated patients with OCD
during which patients were assessed for a formal DSM-IV
and, similarly to Hansen et al,12 found results that diverged
diagnosis of panic disorder, they participated in a study
from those of Mancebo et al.14 In this naturalistic study,
that offered five randomly distributed treatment modalities:
the only clinical variable that predicted adherence was
(1) imipramine, (2) panic control (ie, psychological treat-
comorbid major depression. However, patients who
ment), (3) placebo, (4) imipramine and panic control, and
presented with this comorbidity were more likely to adhere
(5) placebo and panic control. The patients were informed
that they had a 92% chance of receiving an active treatment.
In summary, all the studies that investigated adherence
Of 628 pre-selected patients, 115 were ultimately excluded
to OCD treatment evaluated the impact of the disease’s
from the study due to diagnosis changes, medical problems,
severity.10,12–14 The results were divergent: Hansen et al12
or other reasons. Of those eligible for treatment, 305 patients
found that patients with less severe obsessive-compulsive
(48.6%) refused to participate. The principal reasons given by
symptoms more frequently discontinued treatment, whereas
the patients who turned down treatment were that they were
Mancebo et al14 found that patients with more severe symp-
not willing to take medication (33.8%) or that they were not
toms more frequently dropped out of treatment. Mataix-Cols
willing to interrupt their usual medication schedule (24.9%).
et al10 found that the severity of OCD predicted response
The latter reason occurred due to a study regulation in which
to treatment but not adherence. One study14 observed that
participants were required to interrupt the use of all current
patients with comorbid depression and more severe depres-
sive symptoms adhered to treatment less often than those
Keijsers et al17 also found that patients with panic disorder
without these symptoms, while another one13 described that
who were less motivated for treatment were significantly
comorbid depression increased adherence.
more likely to discontinue treatment. This result appeared in both a univariate analysis and a regression model. In addition,
the authors of that study contacted 25 of the 32 dropouts;
the most common reasons these former patients provided
Carter et al11 asked patients with panic disorder who dropped
for dropping out included dissatisfaction with CBT and its
out CBT in group to complete a self-report questionnaire.
protocol and their improvement to that point, as well as a
These patients claimed not to have been satisfied with their
treatment. In addition, they stated that their partner, who functioned as their co-therapist and accompanied them to
all the sessions, did not want them to continue treatment.
Hofmann and Suvak16 found that SAD patients who discon-
Finally, they declared having “difficulties with the therapy
tinued behavioral or group CBT treatment found therapy to
sessions.” This last response appeared on a self-report
be less logical than those who completed treatment. A self-
questionnaire (Treatment Non-completer Questionnaire)
report questionnaire administered after the first session also
that lists 18 common reasons that influence interruptions of
investigated the attitude of the patients toward their treatment.
treatment; however, the authors of the study did not provide
Hofmann and Suvak16 tried to contact patients who discon-
explanations of these “difficulties.”
tinued treatment, but only 50% responded. Despite a positive
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correlation between “lack of logic” and the dropout rate, the
less education were more likely to turn down treatment,2,4,17
patients reported that they discontinued treatment because of
whereas one study found the opposite result.13 The authors
conflicts with work, feelings that the group environment was
of this present review believe that the interpretation of these
overwhelming or that the treatment was ineffective, moving
contradictory findings should take into account the peculiari-
to a different city, and personal reasons.
ties of each mental health service in question. For instance, while greater levels of education could foster adherence to
a private and/or wealthy clinic, it could also lead to greater
Hansen et al12 studied patients with OCD after a psychologi-
dropout rates in a public service dedicated to lower income
cal treatment and found similar reasons for dropout using a
structured questionnaire. Dropouts stated that the therapy
Further, six studies2,4,6,13,16 investigated the impact of
did not correspond to their expectations and had criticisms
socioeconomic levels on treatment adherence in anxiety
concerning their therapist. Furthermore, these former patients
disorders. Of note, only one study on patients with panic
felt less “pressure” from someone close to them to continue
disorder found an association between lower socioeconomic
therapy compared with those who completed treatment.
level and higher likelihoods of dropout,6 while a naturalistic
These results highlight the importance of knowing and agree-
study of OCD found a paradoxical association between higher
ing to the proposed treatment, patients’ relationships with
socioeconomic levels and greater adherence to treatment.13 In
their therapist, and their attitudes toward treatment.
the latter study, Santana et al13 tracked patients for 10 years
Mancebo et al14 found that 80 patients with OCD reported
via a free university service. Thus, patients with more educa-
perceived environmental barriers between CBT and their
tion and higher socioeconomic levels might have sought treat-
ability to complete treatment. Although there were no expla-
ment in private services to avoid some of the inconveniences
nations of these “environmental barriers,” the fact that the
of public services such as lines and hours spent waiting for
patients perceived them as a reason for not adhering to treat-
ment indicates the presence of beliefs with regard to treat-
In summary, although there is some evidence that both
ment access which must be better investigated. With regard
lower educational levels and socioeconomic status can
to medication adherence, these patients also questioned the
adversely affect adherence in anxiety disorders, studies
showing no relationship outnumber those that do. Also, the relationship between adherence to treatment and educational
Discussion
levels and socioeconomic status need to be examined in the
A total of 16 studies were selected that investigated the
light of the characteristics of the service being provided.
impact of sociodemographic or clinical variables on adher-
Fifteen studies evaluated the impact of clinical variables
ence to treatment for anxiety disorders. The greatest majority
on dropping out of treatment.2,4–7,8–17 Despite the fact that
of the available studies were unable to find sociodemographic
many studies of depression show that comorbidity predicts
differences between adherent and nonadherent patients
adherence to treatment, the present review revealed that only
with anxiety disorders. Only one naturalistic study reported
four studies found a relationship between comorbidity and
that women with anxiety disorders discontinued treatment
treatment adherence. Furthermore, the results were diver-
more frequently than men.4 Further, in just one study, older,
gent. Stein et al9 and Santana et al13 found that patients with
non-Caucasian and unemployed anxiety disorder patients
comorbid depression adhere to treatment more often than
displayed treatment attrition more frequently than those who
those without this comorbidity. In contrast, Issakidis et al4
did not share these features.2 However, in a naturalistic study,
and Mancebo et al14 found that patients with comorbid
unemployed OCD patients were more likely to adhere to
depression adhere less to treatment. Thus, our hypothesis
treatment.13 Therefore, it seems that no consistent conclusion
that comorbidity would predict adherence was not confirmed
regarding the effect of gender, age, race, and employment
based on studies with depressed patients.
on adherence of patients with anxiety disorders to treatment
The five studies that investigated cognitive variables
found similar results and emphasized the importance of treat-
Nine studies2,4,6,11,13–17 investigated the influence of
ment choice and favorable attitudes toward treatment.6,11,14,16,18
education level on treatment adherence of patients with
Cognitive variables may be an important intervention factor
anxiety disorders, but only four2,4,13,17 reported significant
because they are more modifiable than clinical and socio-
findings. Specifically, three studies found that patients with
demographic variables. The results of this review suggest
submit your manuscript |
that treatment programs need to consider these expectations
2. Coles ME, Turk CL, Jindra L, Heimberg RG. The path from initial
and include structured interventions to motivate patients to
inquiry to initiation of treatment for social anxiety disorder in an anxiety disorders specialty clinic. J Anxiety Disord. 2004;18(3):371–383.
participate in treatment even before it begins.
3. Young BJ, Beidel DC, Turner SM, Ammerman RT, McGraw K,
Coaston SC. Pretreatment attrition and childhood social phobia:
Conclusion
parental concerns about medication. J Anxiety Disord. 2006;20(8): 1133–1147.
Few studies have researched correlates or predictors of
4. Issakidis C, Andrews G. Pretreatment attrition and dropout in an
attrition and/or dropout in patients with anxiety disorders.
outpatient clinic for anxiety disorders. Acta Psychiatr Scand. 2004; 109(6):426–433.
The heterogeneity of the findings described in this review
5. Toni C, Perugi G, Frare F, Mata B, Akiskal HS. Spontaneous treatment
partially reflects the different methodologies used to identify
discontinuation in panic disorder patients treated with antidepressants. Acta Psychiatr Scand. 2004;110(2):130–137.
the factors involved in the treatment adherence of patients
6. Grilo CM, Money R, Barlow DH, et al. Pretreatment patient factors
with anxiety disorders. For example, many studies analyzed
predicting attrition from a multicenter randomized controlled treatment
the effects of pharmacological and psychological treatments
study for panic disorder. Compr Psychiatry. 1998;39(6):323–332.
7. Wingerson D, Sullivan M, Dager S, Flick S, Dunner D, Roy-Byrne P.
separately, whereas other studies investigated combined
Personality traits and early discontinuation from clinical trials in anxious
treatments. Also, given that researchers conceptualize
patients. J Clin Psychopharmacol. 1993;13(3):194–197.
8. Hunt C, Andrews G. Drop-out rate as a performance indicator in
“adherence” in different ways, a consensus definition is
psychotherapy. Acta Psychiatr Scand. 1992;85(4):275–278.
necessary. For example, although some researchers consider
9. Stein MB, Cantrell CR, Sokol MC, Eaddy MT, Shah MB. Antidepressant
dropping out to be the cessation of treatment before its offi-
adherence and medical resource use among managed care patients with anxiety disorders. Psychiatr Serv. 2006;57(5):673–680.
cial conclusion, others consider dropouts to be people who
10. Mataix-Cols D, Marks IM, Greist JH, Kobak KA, Baer L. Obsessive-
continue to attend treatment but do not appear at all of the
compulsive symptom dimensions as predictors of compliance with and response to behaviour therapy: results from a controlled trial. Psychother
sessions or who take medication less frequently or in smaller
Psychosom. 2002;71(5):255–262.
11. Carter MM, Turovsky J, Sbrocco T, Meadows EA, Barlow DH.
Despite this review’s negative findings regarding the
Patient dropout from a couples group treatment for panic disorder with agoraphobia. Prof Psychol Res Pract. 1995;26(6):626–628.
impact of sociodemographic and clinical features of patients
12. Hansen AM, Hoogduin CA, Schaap C, de Haan E. Do drop-outs differ
with anxiety disorders in treatment adherence, the studies are
from successfully treated obsessive-compulsives? Behav Res Ther. 1992;30(5):547–550.
rather consistent in describing a high rate of nonadherence
13. Santana L, Versiani M, Mendlowicz MV, Fontenelle LF. Predictors
among patients with anxiety disorders.9 Thus, the authors
of adherence among patients with obsessive-compulsive disorder
of this present review emphasize the importance of more
undergoing naturalistic pharmacotherapy. J Clin Psychopharmacol. 2010;30(1):86–88.
research on this topic in order to develop strategies that help
14. Mancebo MC, Pinto A, Rasmussen SA, Eisen JL. Development of
patients conclude their treatments. Furthermore, they empha-
the Treatment Adherence Survey-patient version (TAS-P) for OCD. J Anxiety Disord. 2008;22(1):32–43.
size this review’s consistent results on cognitive variables,
15. Turner SM, Beidel DC, Wolff PL, Spaulding S, Jacob RG. Clinical
which indicate that expectations and beliefs about the disease
features affecting treatment outcome in social phobia. Behav Res Ther.
and its treatment are important features to be considered in
16. Hofmann SG, Suvak M. Treatment attrition during group therapy for
the management of patients with anxiety disorders.
social phobia. J Anxiety Disord. 2006;20(7):961–972.
17. Keijsers GPJ, Kampman M, Hoogduin CA. Dropout prediction in
Disclosure
cognitive behavior therapy for panic disorder. Behavior Therapy. 2001;32:739–749.
The authors report no conflicts of interest in this work.
18. Hofmann SG, Barlow DH, Papp LA, et al. Pretreatment attrition
in a comparative treatment outcome study on panic disorder. Am J References Psychiatry. 1998;155(1):43–47.
1. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE.
Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):593–602. Patient Preference and Adherence Publish your work in this journal
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Int J Dent Case Reports 2012; 2(5): 9-14 PHENYTOIN-INDUCED GINGIVAL ENLARGEMENT: MULTIDIS CIPLINARY CLINICAL MANAGEMENT: A CAS E REPORT Preeti Moda1, Aman Moda2, Pallavi Pandey3 1 Reader, Department of Periodontics, Government Dental College, Raipur, Chattisgarh, India 2 Reader, Department of Pedodontics, Guru Gobind Singh College of Dental Sciences, Burhanpur, Madhyapradesh, 3 Senior