ReviewThe efficacy of incorporating motivational interviewing to cognitive behavior therapy for anxiety disorders: A review and meta-analysis☆
Section snippets
Anxiety disorders
Anxiety disorders are considered to be the most common class of psychological disorders (Merikangas et al., 2010). In the U.S., lifetime prevalence rates stand at 31% and 12-month prevalence rates at 19%; almost double that of mood disorders and 5 times higher than substance use disorders (Kessler et al., 2009). Anxiety disorders are often debilitating, affecting many areas of functioning including employment (Waghorn, Chant, White, & Whiteford, 2005), academic performance (Seipp, 1991),
Cognitive behavior therapy for anxiety disorders
Cognitive Behavior Therapy (CBT) is widely acknowledged as an efficacious and effective treatment for anxiety disorders and is one of the most researched psychotherapies with substantial theoretical and clinical evidence (Butler, Chapman, Forman, & Beck, 2006). Meta-analytic findings suggest that CBT is one of the most efficacious psychotherapies for anxiety disorders (Tolin, 2010), and that efficacy holds across anxiety disorders regardless of the specific diagnosis (Norton & Price, 2007). CBT
Non-response rates in cognitive behavior therapy
Numerous factors have been offered to explain non-response and dropout rates in CBT, including poor therapeutic alliance (Safran & Muran, 2000; Westra, Constantino, & Aviram, 2011a), low therapist adherence to protocol (DeRubeis & Feeley, 1990), resistance and non-adherence to treatment activities (Leahy, 2001; Sanderson & Bruce, 2007), and low client motivation (Antony, Ledley, & Heimberg, 2005; Arkowitz, Westra, Miller, & Rollnick, 2008; Drieschner, Lammers, & Staak, 2004); as well as
Client motivation
Client motivation has been identified as an individual difference characteristic that is susceptible to change through intervention (Simoneau & Bergeron, 2003). Definitions of this construct vary, yet client motivation is generally understood as both the internal and external drive that underpins the commencement, management, intensity, and perseverance of behavioral change in treatment (Vallerand & et Thill, 1993). It is considered a fluctuating construct (Miller, 1985) and hence has likely
Motivational interviewing
The relationship between motivation and treatment outcome in anxiety disorders has paved the way for new research examining ways to enhance motivation in treatment. The majority of this research draws upon Motivational Interviewing (MI) strategies in conjunction with standard psychotherapy protocols. MI is a treatment which first emerged in the treatment of alcohol use disorders (see Miller, 1983). MI has been successful in this area of research (e.g. Hettema, Steele, & Miller, 2005) and is now
Motivational interviewing as an adjunct to CBT for anxiety disorders
MI principles appear to align with CBT for anxiety disorders at both a theoretical and practical level. The aim of MI, to help individuals overcome ambivalence about change, may be especially useful in anxiety presentations. It is possible for individuals to hold both positive and negative beliefs about their anxiety and their necessity to change. For example, individuals with GAD might be distressed about the amount of time they spend worrying but also believe that worrying is beneficial, in
State of the current research
In 2004 the first published study, a series of three case studies, which incorporated MI into CBT for anxiety disorders emerged (Westra, 2004). These case studies presented a basis for ongoing research in the area by showing that the inclusion of MI as a prelude to CBT is feasible, and may provide therapeutic benefit by increasing engagement and motivation. From this time, numerous case studies, open trials, and randomized controlled trials (RCTs) have been completed across a wide range of
Purpose of the current study
The purpose of the meta-analysis was to address some of these gaps in the literature and examine the efficacy of MI in the treatment of anxiety disorders. Efficacy was operationalized as treatment outcome and participant drop out rates. This study also explored if any factors, such as number of MI sessions, would be associated with greater improvement. As of yet, no meta-analysis has been conducted examining MI in the context of anxiety disorders. It was hypothesised that MI, as an adjunct to
Method
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRIMSA) guidelines (Liberati et al., 2009) were used to conduct this meta-analysis. Articles were first sourced through a thorough search of studies across the following electronic databases: PsychInfo, PubMed, Cochrane Library, and ProQuest. As no previous meta-analysis has been published on MI in anxiety disorders, liberal search terms based on past meta-analyses on MI (e.g. Burke, Arkowitz, & Menchola, 2003; Lundahl,
Symptom reduction
As predicted, the adjunct of MI to standard CBT had a moderate significant effect on symptom reduction compared to CBT alone (Hedges g = 0.59, 95% CI = 0.41–0.78, z = 6.24, p < 0.001), suggesting that pre-treatment MI is associated with greater anxiety symptom improvement than CBT alone. The distribution of the observed effect size was not significant (Q = 13.85, df = 11, p = 0.24). Approximately 20% of the variance in the observed effects is due to variance in the true effects (I2 = 20.55),
Discussion
Although numerous meta-analyses and reviews have examined the efficacy of MI for substance use disorders and psychiatric disorders, this is the first to examine MI as an adjunct to CBT for anxiety disorders. RCTs that have been conducted in this area have provided inconclusive results, and emphasis has often been placed on drop out rates, treatment adherence, and engagement rather than treatment outcome. The findings of this meta-analysis suggest that MI as an adjunct to CBT for anxiety
Study limitations
Several limitations can be identified in this meta-analysis, the most patent relating to the inconclusive findings of the validity assessment. Many studies did not adequately report randomization procedures (e.g. using a computer random number generator), or how participant allocation was concealed from investigators and personal. Furthermore, despite therapists often being blind to treatment condition, it was unclear whether participants were blind to treatment condition (performance bias).
Author disclosure
The authors disclose that no actual or potential conflict of interest including any financial, personal or other relationships with other people or organizations within two years of beginning the submitted work that could inappropriately influence, or be perceived to influence, our work.
Isabella Marker is a doctoral student in clinical psychology at Monash University. Her research interests lie in the discrepancies in treatment outcome in evidence-based therapies for emotional disorders. She is particularly interested in the role of client motivation in therapy. Her current research examines client motivation in the context of transdiagnostic cognitive behaviour therapy for anxiety disorders.
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2023, Journal of Affective DisordersCitation Excerpt :Mapping motivation prior to psychotherapy may be useful to identify patients with low levels of motivation and who may need further clinical attention, either in the form of more motivational support or being offered other forms of treatment. Specific interventions targeting patients' motivation, such as motivational interviewing (MI), have been shown effective in improving psychotherapy engagement and lead to enhanced outcomes in other clinical populations (Marker and Norton, 2018; Ryan et al., 2011). Moreover, the effectiveness of MI has demonstrated cross-cultural generalizability (Oh and Lee, 2016).
Study design and interventions for a peer-delivered motivational interviewing group treatment for sexual and gender minority male sexual trauma survivors
2021, Contemporary Clinical TrialsCitation Excerpt :Peer leaders listen for opportunities in each session to motivate trauma-related behavior change (e.g., exploring values related to one's identity as a man, as SGM, and/or as a sexual trauma survivor) and engagement in mental health services. Although originally empirically validated for reducing substance use disorders, MI is now used to help individuals develop motivation to change a variety of other health-related problem behaviors (e.g., treatment non-adherence, poor weight management) and mental health issues highly comorbid with trauma, such as depression and anxiety [53,54]. MI also has been used as stand-alone or adjunct intervention to help people engage in more intensive mental health services [19,20], which may in turn improve treatment outcomes for depression [53], PTSD [54], and substance [55], all common among SGM men.
Transfer of exposure therapy effects to a threat context not considered during treatment in patients with panic disorder and agoraphobia: Implications for potential mechanisms of change
2021, Behaviour Research and TherapyCitation Excerpt :This might also explain why we did not observe substantial transfer effects on the behavioral level from exposure exercises during treatment to the BAT assessment. In contrast, complementary cognitive (Lovibond, 2006) and motivational (Marker & Norton, 2018; Randall & McNeil, 2017; Slagle & Gray, 2007) interventions were highlighted as possible adjuncts of EBT facilitating the elimination of pathological avoidance behavior and increasing patients' engagement during exposure exercises. For instance, one study could demonstrate that perceived self-efficacy predicted transfer effects of exposure exercises in agoraphobic subjects (Williams et al., 1989).
The evolution of motivational interviewing
2023, Behavioural and Cognitive Psychotherapy
Isabella Marker is a doctoral student in clinical psychology at Monash University. Her research interests lie in the discrepancies in treatment outcome in evidence-based therapies for emotional disorders. She is particularly interested in the role of client motivation in therapy. Her current research examines client motivation in the context of transdiagnostic cognitive behaviour therapy for anxiety disorders.
Peter J. Norton is professor of clinical psychology at Monash University, and Clinic Lead for the Monash FEAR Clinic, and Director of the Monash Psychology Centre. Professor Norton's research has been focused on developing and evaluating transdiagnostic and diagnosis-specific factors across anxiety and other emotional disorders, and translating these factors into efficacious and efficient transdiagnostic interventions.
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This material is the result of work supported with resources and the use of facilities at Monash University, Clayton, Victoria, Australia. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of Monash University.