Clinical dysfunction and psychosocial interventions: the interplay of research, methods, and conceptualization of challenges

PROTOCOL: Effects of virtual reality exposure therapy versus in vivo exposure in treating social anxiety disorder in adults: A systematic review and meta-analysis

This is the protocol for a Campbell systematic review. The objectives are as follows: (a) to quantify the effect sizes for virtual reality exposure therapy (VRET) in the treatment of social anxiety disorder (SAD), targeting primary social anxiety symptoms, comorbid anxiety and depression symptoms and improvements in quality of life, when compared to WL, information control, care-as-usual and placebo; (b) to compare VRET to in vivo cognitive and cognitive-behavioral interventions in treating SAD, at posttest and follow-up, using between-group design; (c) to identify the key features which are linked to beneficial outcomes in the two formats in treating SAD and (d) to collect and interpret information on differences in treatment uptake, adherence and attrition, as well as clinical significance and therapist-time in both treatment formats.

Disorder-specific internet-based cognitive-behavioral therapy in treating panic disorder, comorbid symptoms and improving quality of life: A meta-analytic evaluation of randomized controlled trials

Compared to conventional face-to-face psychological treatments, internet-based cognitive-behavioral therapy (iCBT) presents an innovative alternative that has been found to be effective in the treatment of anxiety disorders. The current study provides a meta-analysis investigating the efficacy of disorder-specific guided self-help (Gsh) iCBT compared to various active and inactive control conditions, with focus on adult panic disorder sufferers with or without agoraphobia (PD/A). Systematic literature search yielded 13 randomized controlled trials (RCTs) (N = 1214) that met the eligibility criteria for this study. We found no statistically significant differences between Gsh iCBT and various active CBT interventions in reducing PD/A symptoms at both post-test (g = 0.015, k = 10) and follow-up (g = 0.113, k = 6) levels. Also, comorbid anxiety and depression were reduced equivalently at post-test (g = 0.004, k = 6) and follow-up (g = 0.004, k = 6). Quality of life was equally improved at post-test (g = -0.100, k = 5) and follow-up (g = 0.074, k = 2). When compared to inactive controls, we found large effect sizes in PD/A (g = -0.892, k = 9) and comorbid anxiety and depression (g = -0.723, k = 9) symptoms, and moderate change in quality of life (g = -0.484, k = 3) at post-test. There was no difference between Guided self-help iCBT and Self-help iCBT in PD/A (g = -0.025, k = 3) and comorbid anxiety and depression (g = -0.025, k = 3) at post-test. Baseline severity, country of original research and adherence to the treatment in form of initial uptake were identified as statistically significant moderators of the iCBT treatment.

Using Positive Emotion Training With Maltreated Youths to Reduce Anger Bias and Physical Aggression

Maltreated youths often overinterpret anger in others' emotional expressions, particularly expressions that are ambiguous, and this "anger bias" is associated with aggressive behavior. In the current experiment, we tested the effect of an emotion-training intervention on anger bias and subsequent aggression. Eighty-four youths, ages 8 to 17, who had been removed from home because of maltreatment and had screened positive for aggressive tendencies, served as participants. Over 4 days, youths completed positive emotion training, a computerized program in which youths classify emotional expressions. Youths in the treatment condition received feedback to encourage their recognition of happiness over anger in ambiguous expressions. Physical aggression up to 1 week posttraining was assessed on the basis of self- and staff reports. The intervention was effective in reducing youths' anger bias and somewhat so in reducing aggression-the latter of-which occurred infrequently, limiting power. Results offer direction for developmental research and cost-effective interventions for maltreated youths at risk for aggression and future justice-system involvement.

Efficacy of a Transdiagnostic internet-based treatment for emotional disorders with a specific component to address positive affect: Study protocol for a randomized controlled trial

BACKGROUND

Emotional disorders (ED) are among the most prevalent mental disorders. However, less than 50% of people suffering from ED receive the appropriate treatment. This situation has led to the development of new intervention proposals based on the transdiagnostic perspective, which tries to address the underlying processes common to ED. Most of these programs focus primarily on down-regulating negative affectivity, rather than increasing strengths and up-regulating positive affectivity. The data suggest the existence of disturbances in positive affectivity in these disorders, and so new interventions focusing on these problems are greatly needed. It is also essential to provide assistance to all the people in need. Information and Communication Technologies can be very useful. This study aims to evaluate the efficacy of a transdiagnostic Internet-based treatment for ED in a community sample. The protocol includes traditional CBT components, as well as a specific component to address positive affect. We intend to test this protocol, including this specific component or not, versus a waiting list control group. Moreover, we aim to test the differential effect of this specific component, and study the effectiveness (in terms of patients' acceptance) of using a self-applied Internet-based program. This paper presents the study protocol.

METHODS

The study is a randomized controlled trial. 207 participants will be randomly assigned to: a)Transdiagnostic Internet-based protocol (TIBP), b)Transdiagnostic Internet-based protocol + positive affect component (TIBP + PA), or c)a Waiting List control group (WL). Primary outcomes measures will be the BDI-II, the BAI, and the PANAS. Secondary outcomes will include diagnosis-specific measures of the principal disorder. Participants' treatment acceptance will also be measured. Participants will be assessed at pre-, post-treatment, and 3- and 12- month follow-ups. The data will be analyzed based on the Intention-to-treat principle. Per protocol analyses will also be performed.

DISCUSSION

To the best of our knowledge, this is the first study of a transdiagnostic Internet-based treatment for ED with a specific component to up-regulate positive affectivity. This intervention could contribute to improve the efficiency and effectiveness of current treatment programs for ED, promote the dissemination of EBTs, and help to decrease the high prevalence of ED.

TRIAL REGISTRATION

ClinicalTrial.gov: NCT02578758 . Registered 15 October 2015.

Applications of time-series analysis to mood fluctuations in bipolar disorder to promote treatment innovation: a case series

Treatment innovation for bipolar disorder has been hampered by a lack of techniques to capture a hallmark symptom: ongoing mood instability. Mood swings persist during remission from acute mood episodes and impair daily functioning. The last significant treatment advance remains Lithium (in the 1970s), which aids only the minority of patients. There is no accepted way to establish proof of concept for a new mood-stabilizing treatment. We suggest that combining insights from mood measurement with applied mathematics may provide a step change: repeated daily mood measurement (depression) over a short time frame (1 month) can create individual bipolar mood instability profiles. A time-series approach allows comparison of mood instability pre- and post-treatment. We test a new imagery-focused cognitive therapy treatment approach (MAPP; Mood Action Psychology Programme) targeting a driver of mood instability, and apply these measurement methods in a non-concurrent multiple baseline design case series of 14 patients with bipolar disorder. Weekly mood monitoring and treatment target data improved for the whole sample combined. Time-series analyses of daily mood data, sampled remotely (mobile phone/Internet) for 28 days pre- and post-treatment, demonstrated improvements in individuals' mood stability for 11 of 14 patients. Thus the findings offer preliminary support for a new imagery-focused treatment approach. They also indicate a step in treatment innovation without the requirement for trials in illness episodes or relapse prevention. Importantly, daily measurement offers a description of mood instability at the individual patient level in a clinically meaningful time frame. This costly, chronic and disabling mental illness demands innovation in both treatment approaches (whether pharmacological or psychological) and measurement tool: this work indicates that daily measurements can be used to detect improvement in individual mood stability for treatment innovation (MAPP).