Development and Preliminary Feasibility Testing of a Decision Support Tool for Childhood Anxiety Treatment.

In this practical application, we describe the steps to build a decision-support tool using GeNIe 2.1 software. The method incorporates principles of decision analyses and allows for a systematic strategy to balance treatment efficacy data with patient preferences. We illustrate the utility for helping clinicians and patients choose between two or more efficacious treatment options (CBT, medication, or their combination). Preliminary pilot data from families (n = 5) seeking services at a specialty clinic for childhood anxiety disorders support the usability of the tool and high patient satisfaction. We use case examples and sample graphical output to illustrate how the decision-support system can be used to integrate data on, 1) baseline symptom severity 2) the relative effectiveness of two or more treatment options, and 3) patient preferences and values, to arrive at a personalized treatment recommendation. The decision-support tool enabled child and parent preferences to be explicitly stated and facilitated discussions about how best to incorporate their preferences into an evidenced-based treatment strategy.

Posttraumatic stress disorder in daily life among World Trade Center responders: Temporal symptom cascades.

BACKGROUND: Posttraumatic stress disorder (PTSD) symptoms are common in the immediate aftermath of a trauma, but it is their persistence over time that leads to a diagnosis. This pattern highlights the critical role of symptom maintenance to understanding and treating the disorder. Relatively few studies have explored whether PTSD symptoms may be interacting or triggering one another to worsen and maintain the disorder, a dynamic we refer to as "symptom cascades." Additionally, little work has tested in real-time how other maintenance factors, such as stress, contribute to such events in daily life. METHODS: The present study in a group (N = 202) of World Trade Center (WTC) responders oversampled for PTSD tested day-to-day temporal associations among PTSD symptom dimensions (i.e., intrusions, avoidance, numbing, and hyperarousal) and stress across one week. RESULTS: Longitudinal models found hyperarousal on a given day predicted increased PTSD symptoms the next day, with the effect sizes almost double compared to other symptom dimensions or daily stress. Intrusions, in contrast, showed little prospective predictive effects, but instead were most susceptible to the effects from other symptoms the day before. Avoidance and numbing showed weaker bidirectional effects. LIMITATIONS: Findings are from a unique population and based on naturalistic observation. CONCLUSIONS: Results are consistent with the idea of symptom cascades, they underscore hyperarousal's strong role in forecasting short-term increases in PTSD (even more than stress per se) and they raise the prospect of highly specific ecological momentary interventions to potentially disrupt PTSD maintenance in daily life.

Maltreatment and diurnal cortisol regulation: A meta-analysis.

Childhood maltreatment leads to a host of negative physical and mental health outcomes, with cortisol dysregulation implicated as a possible mechanism. Given inconsistencies across in the literature regarding the direction and magnitude of the association between maltreatment and diurnal cortisol regulation, the current meta-analysis of 27 studies aimed to examine the association between maltreatment and at least one of 3 indicators of diurnal cortisol regulation: wake-up cortisol levels, the cortisol awakening response (CAR), and/or the diurnal cortisol slope. Effect sizes were calculated using Hedges' g formula and were pooled using a random effects model. For the association between maltreatment and wake-up cortisol level, the aggregate effect size was g=0.08, p=0.26. Notably, effect sizes between maltreatment and wake-up cortisol were significantly larger (Qbetween=5.18, p=0.02) for studies of agency-referred samples, g=0.24, p=0.006, than studies for which maltreatment status was based on self-report, g=0.00, p=0.97, with maltreatment associated with reduced wake-up cortisol levels. For the association between maltreatment and the CAR and diurnal cortisol slope, the aggregate effect sizes were non-significant and none of the moderator variables were significant. Although results did not indicate a large and robust association between maltreatment and various indicators of diurnal cortisol, studies with more rigorous designs (i.e., agency-referred samples) showed a small, significant association between maltreatment and blunted wake-up cortisol levels, suggesting a pattern of hypocortisolism.

A Meta-Analysis of Personalized Treatment Goals in Psychotherapy: A Preliminary Report and Call for More Studies.

The aim of this study was to explore the hypothesis that psychotherapy has larger effect sizes for personalized treatment goals than for symptom checklists. We conducted a meta-analysis of clinical trials that measured treatment success both in terms of symptom checklists and personalized treatment goals. Our search of the literature yielded 12 studies that met our inclusion criteria. Effect sizes were substantially larger for personalized treatment goals (ES = .86, p < .0001) than for symptom checklists (ES = .32, p = .003). The magnitude of this difference was significant (p < .05). Our results suggest that psychotherapy is perhaps more effective in helping patients with individual goals than reducing scores on broad measures of symptoms. Estimates of the effectiveness of psychotherapy that are based on symptom checklists perhaps underestimate the true benefit of psychotherapy. We discuss the implications for research and clinical practice.

Mobile technology boosts the effectiveness of psychotherapy and behavioral interventions: a meta-analysis.

We conducted a meta-analysis on the effects of mobile technology on treatment outcome for psychotherapy and other behavioral interventions. Our search of the literature resulted in 26 empirical articles describing 25 clinical trials testing the benefits of smartphone applications, personal digital assistants (PDAs), or text messaging systems either to supplement treatment or substitute for direct contact with a clinician. Overall, mobile technology use was associated with superior treatment outcome across all study designs and control conditions, effect size (ES) = .34, p < .0001. For the subset of 10 studies that looked specifically at the added benefit of mobile technology using a rigorous "Treatment" versus "Treatment + Mobile" design, effect sizes were only slightly more modest (ES = .27) and still significant (p < .05). Overall, the results support the role of mobile technology for the delivery of psychotherapy and other behavioral interventions.

Beyond Symptom Counts for Diagnosing Oppositional Defiant Disorder and Conduct Disorder?

Conduct Disorder (CD) and Oppositional Defiant Disorder (ODD) are among the most commonly diagnosed childhood behavioral health disorders. Although there is substantial evidence of heterogeneity of symptom presentations, DSM diagnoses of CD and ODD are formally diagnosed on the basis of symptom counts without regard to individual symptom patterns. We used unidimensional item response theory (IRT) two-parameter logistic (2PL) models to examine item parameters for the individual symptoms of CD and ODD using data on 6,491 adolescents (ages 13-17) from the National Comorbidity Study: Adolescent Supplement (NCS-A). For each disorder, the symptoms differed in terms of severity and discrimination parameters. As a result, some adolescents who were above DSM diagnostic thresholds for disruptive behavior disorders exhibited lower levels of the underlying construct than others below the thresholds, based on their unique symptom profile. In terms of incremental benefit, our results suggested an advantage of latent trait scores for CD but not ODD.

Client preferences affect treatment satisfaction, completion, and clinical outcome: a meta-analysis.

We conducted a meta-analysis on the effects of client preferences on treatment satisfaction, completion, and clinical outcome. Our search of the literature resulted in 34 empirical articles describing 32 unique clinical trials that either randomized some clients to an active choice condition (shared decision making condition or choice of treatment) or assessed client preferences. Clients who were involved in shared decision making, chose a treatment condition, or otherwise received their preferred treatment evidenced higher treatment satisfaction (ESd=.34; p<.001), increased completion rates (ESOR=1.37; ESd=.17; p<.001), and superior clinical outcome (ESd=.15; p<.0001), compared to clients who were not involved in shared decision making, did not choose a treatment condition, or otherwise did not receive their preferred treatment. Although the effect sizes are modest in magnitude, they were generally consistent across several potential moderating variables including study design (preference versus active choice), psychoeducation (informed versus uninformed), setting (inpatient versus outpatient), client diagnosis (mental health versus other), and unit of randomization (client versus provider). Our findings highlight the clinical benefit of assessing client preferences, providing treatment choices when two or more efficacious options are available, and involving clients in treatment-related decisions when treatment options are not available.