Oliver Lindhiem

Enhancing Attachment Organization Among Maltreated Children: Results of a Randomized Clinical Trial

Young children who have experienced early adversity are at risk for developing disorganized attachments. The efficacy of Attachment and Biobehavioral Catch-up (ABC), an intervention targeting nurturing care among parents identified as being at risk for neglecting their young children, was evaluated through a randomized clinical trial. Attachment quality was assessed in the Strange Situation for 120 children between 11.7 and 31.9 months of age (M = 19.1, SD = 5.5). Children in the ABC intervention showed significantly lower rates of disorganized attachment (32%) and higher rates of secure attachment (52%) relative to the control intervention (57% and 33%, respectively). These results support the efficacy of the ABC intervention in enhancing attachment quality among parents at high risk for maltreatment.

This is my child : Differences among foster parents in commitment to their young children

In this study, the authors examined variables associated with foster mothers’ level of commitment to their young foster children, who ranged in age from 5 months to 5 years. Commitment was assessed using a semistructured interview known as the “This Is My Baby” interview (TIMB; Bates & Dozier, 1998). Among 84 foster parent-child dyads, foster mothers who had fostered more children previously showed lower levels of commitment than did foster mothers who had fostered fewer children. Commitment also was associated with child age at placement, with foster parents showing higher levels of commitment to children who were placed at younger ages than to children who were placed at older ages. Commitment predicted the stability of the relationship, with higher levels of commitment associated with a greater likelihood of adoption or long-term placement. These results suggest the importance of designing a child welfare system that will enhance caregivers’ ability to commit to the children for whom they provide care.

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.

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.

Bidirectional Relations between Parenting Practices and Child Externalizing Behavior: A Cross-Lagged Panel Analysis in the Context of a Psychosocial Treatment and 3-Year Follow-up

In the current study, we examined longitudinal changes in, and bidirectional effects between, parenting practices and child behavior problems in the context of a psychosocial treatment and 3-year follow-up period. The sample comprised 139 parent–child dyads (child ages 6–11) who participated in a modular treatment protocol for early-onset ODD or CD. Parenting practices and child behavior problems were assessed at six time-points using multiple measures and multiple reporters. The data were analyzed using cross-lagged panel analyses. Results indicated robust temporal stabilities of parenting practices and child behavior problems, in the context of treatment-related improvements, but bidirectional effects between parenting practices and child behavior were less frequently detected. Our findings suggest that bidirectional effects are relatively smaller than the temporal stability of each construct for school-age children with ODD/CD and their parents, following a multi-modal clinical intervention that is directed at both parents and children. Implications for treatment and intervention are discussed.

Maternal Sensitivity: Within-Person Variability and the Utility of Multiple Assessments

In this study, we examined within-person variability in maternal sensitivity among a culturally diverse sample of high-risk mother-infant dyads (N = 25). We also examined incremental increases in effect sizes between maternal sensitivity and two related variables, attachment state of mind and child removal from the home, as a function of increasing observations of maternal sensitivity. The dyads were videotaped during 10 1-hour-long home visits and maternal sensitivity was coded using the abbreviated (25-item) version of the Maternal Behavior Q-Sort (MBQS). Attachment state of mind was assessed using the Adult Attachment Interview (AAI). Within-person variability in maternal sensitivity was greater for nonautonomous mothers compared to autonomous mothers. Mothers who were relatively low in maternal sensitivity were more likely to be nonautonomous and also more likely to have their child removed from their home by child protective services. Results from data sampling trials showed incremental increases in these effect sizes as the number of observations of maternal sensitivity increased. Fewer observations of maternal sensitivity resulted in systematic underestimates of effect sizes between maternal sensitivity and related variables. We discuss the implications for maltreatment researchers and interventionists.

Predicting Psychotherapy Benefit: A Probabilistic and Individualized Approach

We describe the development of the probability of treatment benefit (PTB) chart that incorporates, integrates, and extends more recent approaches to describing treatment effects, such as the Reliable Change Index (Jacobson & Truax, 1991) and normative comparisons (Kendall, Marrs-Garcia, Nath, & Sheldrick, 1999), by including parameters that are simultaneously probabilistic and individualized. To illustrate the PTB chart, data are taken from an effectiveness trial (N=139) of a modular treatment for disruptive behavior disorders. The results highlight both individual variability and the probabilistic nature of psychotherapy benefit. Finally, we discuss the utility of the PTB chart in terms of research, policy, and practice implications. Probability tables, such as the PTB chart, have the potential to be used as simple clinical tools to supplement traditional effect sizes and help patients make truly informed decisions about treatment participation.

Evaluation of an Implementation Initiative for Embedding Dialectical Behavior Therapy in Community Settings

We examined the effectiveness of Dialectical Behavior Therapy (DBT) training in community-based agencies. Data were gathered at four time points over a 2-year period from front-line mental health therapists (N=64) from 10 community-based agencies that participated in a DBT implementation initiative. We examined change on therapist attitudes toward consumers with Borderline Personality Disorder (BPD), confidence in the effectiveness of DBT, and use of DBT model components. All measures were self-report. Participating in DBT training was associated with positive changes over time, including improved therapist attitudes toward consumers with BPD, improved confidence in the effectiveness of DBT, and increased use of DBT components. Therapists who had the lowest baseline scores on the study outcomes had the greatest self-reported positive change in outcomes over time. Moreover, there were notable positive correlations in therapist characteristics; therapists who had the lowest baseline attitudes toward individuals with BPD, confidence in the effectiveness of DBT, or who were least likely to use DBT modes and components were the therapists who had the greatest reported increase over time in each respective area. DBT training with ongoing support resulted in changes not commonly observed in standard training approaches typically used in community settings. It is encouraging to observe positive outcomes in therapist self-reported skill, perceived self-efficacy and DBT component use, all of which are important to evidence-based treatment (EBT) implementation. Our results underscore the importance to recognize and target therapist diversity of learning levels, experience, and expertise in EBT implementation.

A probabilistic and individualized approach for predicting treatment gains: an extension and application to anxiety disordered youth.

The objective of this study was to extend the probability of treatment benefit method by adding treatment condition as a stratifying variable, and illustrate this extension of the methodology using the Child and Adolescent Anxiety Multimodal Study data. The probability of treatment benefit method produces a simple and practical way to predict individualized treatment benefit based on pretreatment patient characteristics. Two pretreatment patient characteristics were selected in the production of the probability of treatment benefit charts: baseline anxiety severity, measured by the Pediatric Anxiety Rating Scale, and treatment condition (cognitive-behavioral therapy, sertraline, their combination, and placebo). We produced two charts as exemplars which provide individualized and probabilistic information for treatment response and outcome to treatments for child anxiety. We discuss the implications of the use of the probability of treatment benefit method, particularly with regard to patient-centered outcomes and individualized decision-making in psychology and psychiatry.

Quantifying diagnostic uncertainty using item response theory: the Posterior Probability of Diagnosis Index.

Using traditional Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision (American Psychiatric Association, 2000) diagnostic criteria, clinicians are forced to make categorical decisions (diagnosis vs. no diagnosis). This forced choice implies that mental and behavioral health disorders are categorical and does not fully characterize varying degrees of uncertainty associated with a particular diagnosis. Using an item response theory (latent trait model) framework, we describe the development of the Posterior Probability of Diagnosis (PPOD) Index, which answers the question: What is the likelihood that a patient meets or exceeds the latent trait threshold for a diagnosis? The PPOD Index is based on the posterior distribution of θ (latent trait score) for each patients profile of symptoms. The PPOD Index allows clinicians to quantify and communicate the degree of uncertainty associated with each diagnosis in probabilistic terms. We illustrate the advantages of the PPOD Index in a clinical sample (N = 321) of children and adolescents with oppositional defiant disorder.