Distinguishing selective mutism and social anxiety in children: a multi-method study.

Selective mutism (SM) is an anxiety disorder in which a child fails to speak in some situations (e.g., school) despite the ability to speak in other situations (e.g., home). Some work has conceptualized SM as a variant of social anxiety disorder (SAD) characterized by higher levels of social anxiety. Here, we empirically tested this hypothesis to see whether there were differences in social anxiety (SA) between SM and SAD across behavioral, psychophysiological, self-, parent-, and teacher-report measures. Participants included 158 children (Mage = 8.76 years, SD = 3.23) who were classified into three groups: children with SM and who were also highly socially anxious (SM + HSA; n = 48), highly socially anxious children without SM (HSA; n = 48), and control children (n = 62). Children participated in a videotaped self-presentation task, following which observed SA behaviors were coded, and salivary cortisol reactivity was measured. We also collected child, parent, and teacher reports of children's trait SA symptoms. The SM + HSA and HSA groups had similar observed non-verbal SA behavior, cortisol reactivity, and trait SA symptom levels according to parent and child reports, but SM + HSA children had significantly higher SA according to teacher report and observer-rated verbal SA behavior relative to the HSA group. As expected, control children had lower cortisol reactivity and SA across all measures relative to the other groups. Although SM and SAD in children share many similarities, SM may be characterized by greater SA in certain social contexts (e.g., school) and is distinguishable from SAD on behavioral measures of verbal SA.

What Influences Educators' Design Preferences for Bullying Prevention Programs? Multi-level Latent Class Analysis of a Discrete Choice Experiment.

We used a discrete choice conjoint experiment to model the anti-bullying (AB) program preferences of 1080 junior kindergarten to Grade 8 educators. Participants chose between hypothetical AB programs that varied combinations of 12 design attributes. Multi-level latent class analysis yielded three classes: All-in Supervisors (21.5%) preferred that all teaching staff supervise playgrounds and hallways; Facilitators (61.6%) preferred that students take ownership of AB activities with 25% of educators supervising playgrounds and hallways; and Reluctant Delegators (16.9%) preferred delegating the supervision of playgrounds and hallways to non-teaching staff. This class reported higher dispositional reactance, more implementation barriers, and more psychological reactance to these initiatives. They were less sensitive to social influences and less intent on participating in AB activities. Multi-level analysis showed a greater proportion of Reluctant Delegators clustered in one of the two groups of schools. The program choices of all classes were sensitive to the support of principals, colleagues, students, and, to a lesser extent, parents. All classes preferred programs conducted from kindergarten through Grade 12 that addressed the problems underlying bullying while valuing firm and consistent consequences for all students. Educators preferred AB programs selected by individual schools, rather than governments.

Trajectories of Observed Shyness and Psychosocial Adjustment in Children.

Shyness can manifest as inhibition, fear, and avoidance in the context of social novelty and situations of perceived social evaluation. In the present study, 130 children (Mage = 7.6 years, SD = 1.8) participated in a videotaped self-presentation task across three separate visits spanning approximately 3 years in early and middle childhood. Children's observed shyness was best characterized by two trajectories, including a high-stable class (19%) and a low-stable class (81%). Girls were more likely than boys to follow a pattern of high-stable observed shyness. Further, children in the high-stable observed shyness class were rated by parents and teachers as more socially anxious relative to children in the low-stable class, and boys in the high-stable observed shyness class were rated by their teachers as displaying more depressive symptoms relative to girls. These findings suggest that a subset of children display stable behavioral shyness, and this is correlated with psychosocial functioning.

Advancing implementation frameworks with a mixed methods case study in child behavioral health.

Despite a growing policy push for the provision of services based on evidence, evidence-based treatments for children and youth with mental health challenges have poor uptake, yielding limited benefit. With a view to improving implementation in child behavioral health, we investigated a complementary implementation approach informed by three implementation frameworks in the context of implementing motivational interviewing in four child and youth behavioral health agencies: the Active Implementation Frameworks (AIF) (process), the Consolidated Framework for Implementation Research (factors), and the Implementation Outcomes Framework (evaluation). The study design was mixed methods with embedded interrupted time series and motivational interviewing (MI) fidelity was the primary outcome. Focus groups and field notes informed perspectives on the implementation approach, and a questionnaire explored the salience of Consolidated Framework for Implementation Research (CFIR) factors. Findings validate the process guidance provided by the AIF and highlight CIFR factors related to implementation success. Novel CFIR factors, not elsewhere reported in the literature, are identified that could potentially extend the framework if validated in future research. Introducing fidelity measurement in practice proved challenging and was not sustained beyond the study. A complementary implementation approach was successful in implementing MI in child behavioral health agencies. In contrast with the typical train and hope approach to implementation, practice change did not occur immediately post-training but emerged over a 7 month period of consultation and practice following a discrete interactive training period. The saliency of CFIR constructs aligned with findings from studies conducted in other contexts, demonstrating external validity and highlighting common factors that can focus planning and measurement.

What Antibullying Program Designs Motivate Student Intervention in Grades 5 to 8?

Educators detect and intervene in a small proportion of bullying incidents. Although students are present when many bullying episodes occur, they are often reluctant to intervene. This study explored attributes of antibullying (AB) programs influencing the decision to intervene. Grade 5, 6, 7, and 8 students (N = 2,033) completed a discrete choice experiment examining the influence of 11 AB program attributes on the decision to intervene. Multilevel analysis revealed 6 latent classes. The Intensive Programming class (28.7%) thought students would intervene in schools with daily AB activities, 8 playground supervisors, mandatory reporting, and suspensions for perpetrators. A Minimal Programming class (10.3%), in contrast, thought monthly AB activities, 4 playground supervisors, discretionary reporting, and consequences limited to talking with teachers would motivate intervention. Membership in this class was linked to Grade 8, higher dispositional reactance, more reactance behavior, and more involvement as perpetrators. The remaining 4 classes were influenced by different combinations of these attributes. Students were more likely to intervene when isolated peers were included, other students intervened, and teachers responded quickly. Latent class analysis points to trade-offs in program design. Intensive programs that encourage intervention by students with little involvement as perpetrators may discourage intervention by those with greater involvement as perpetrators, high dispositional reactance, or more reactant behavior.

Investigating service features to sustain engagement in early intervention mental health services.

AIM: To understand what service features would sustain patient engagement in early intervention mental health treatment. METHODS: Mental health patients, family members of individuals with mental illness and mental health professionals completed a survey consisting of 18 choice tasks that involved 14 different service attributes. Preferences were ascertained using importance and utility scores. Latent class analysis revealed segments characterized by distinct preferences. Simulations were carried out to estimate utilization of hypothetical clinical services. RESULTS: Overall, 333 patients and family members and 183 professionals (N = 516) participated. Respondents were distributed between a Professional segment (53%) and a Patient segment (47%) that differed in a number of their preferences including for appointment times, individual vs group sessions and mode of after-hours support. Members of both segments shared preferences for many of the service attributes including having crisis support available 24 h per day, having a choice of different treatment modalities, being offered help for substance use problems and having a focus on improving symptoms rather than functioning. Simulations predicted that 60% of the Patient segment thought patients would remain engaged with a Hospital service, while 69% of the Professional segment thought patients would be most likely to remain engaged with an E-Health service. CONCLUSIONS: Patients, family members and professionals shared a number of preferences about what service characteristics will optimize patient engagement in early intervention services but diverged on others. Providing effective crisis support as well as a range of treatment options should be prioritized in the future design of early intervention services.

Distance-Delivered Parent Training for Childhood Disruptive Behavior (Strongest Families™): a Randomized Controlled Trial and Economic Analysis.

Disruptive behavior disorders are prevalent in youth, yet most children with disruptive behavior do not have access to timely, effective treatment. Distance-delivered service (e.g., via telephone, Internet) can overcome several barriers to care. This study tested the effectiveness of a 12-week parent training program, Strongest Families™ Parenting the Active Child, delivered via written material, skill-based videos, and telephone coaching sessions, as compared to usual care in reducing child externalizing behavior. Participants were 172 primary caregivers of a 6- to 12-year-old (29% girls; M age = 8.5 years) recruited from community children's mental health clinics. Participants were randomized to either Strongest Families™ or usual care and completed measures of child externalizing behavior, parenting practices, parent distress, and intervention services consumed at baseline and 5-, 10-, 16-, and 22-months post-baseline. Growth curve analysis showed significant reductions in externalizing behavior in both conditions over time. Improvements were significantly greater at 10 months in the Strongest Families™ condition (d = 0.43). At 22 months, however, the differences were not significant and small in magnitude (d = -0.05). The intervention decreased inconsistent discipline significantly more than usual care. Parents in both conditions showed significant reductions in distress. We also conducted a cost-effectiveness analysis to assess the value for money of the Strongest Families™ program versus usual care. Distance parent training is a promising way to increase access to, and reduce costs associated with, mental health care for families with a child with disruptive behavior.

Modeling the Decision of Mental Health Providers to Implement Evidence-Based Children's Mental Health Services: A Discrete Choice Conjoint Experiment.

Using an online, cross sectional discrete choice experiment, we modeled the influence of 14 implementation attributes on the intention of 563 providers to adopt hypothetical evidence-based children's mental health practices (EBPs). Latent class analysis identified two segments. Segment 1 (12%) would complete 100% of initial training online, devote more time to training, make greater changes to their practices, and introduce only minor modifications to EBPs. Segment 2 (88%) preferred fewer changes, more modifications, less training, but more follow-up. Simulations suggest that enhanced supervisor support would increase the percentage of participants choosing the intensive training required to implement EBPs. The dissemination of EBPs needs to consider the views of segments of service providers with differing preferences regarding EBPs and implementation process design.

Trajectories of Social Anxiety in Children: Influence of Child Cortisol Reactivity and Parental Social Anxiety.

Few studies have examined the interactive effect of intra- and extra-individual vulnerability factors on the trajectory of social anxiety in children. In this study, we examined the joint influence of familial vulnerability (i.e., parental social anxiety) and child biological stress vulnerability (i.e., cortisol reactivity) on trajectories of social anxiety. Children (N = 112 (57 males), M age = 8.14 years, S.D. = 2.25) were followed over three visits spanning approximately three years. Parental social anxiety was assessed using the Social Phobia and Anxiety Inventory, children's behavior and salivary cortisol reactivity were measured in response to a speech task, and children's social anxiety was assessed at all three visits using the Screen for Child Related Emotional Disorders (SCARED; Parent-report). A growth curve analysis was used to examine trajectories of child social anxiety as predicted by children's cortisol reactivity and parental social anxiety, adjusting for covariates. We found a significant interaction between parental social anxiety and child cortisol reactivity in predicting child social anxiety across time. Having a socially anxious parent coupled with heightened cortisol reactivity predicted the highest levels of child social anxiety, with scores that remained above clinically significant levels for social anxiety across all visits. Children with familial risk for social anxiety and who also exhibit high stress-reactivity appear to be at risk for persistent, clinically significant social anxiety. This highlights the importance of considering the interaction between both biological and contextual factors when considering the development, maintenance, and treatment of social anxiety in children across time.

Child- and parent-reported quality of life trajectories in children with epilepsy: A prospective cohort study.

OBJECTIVE: To describe the developmental trajectories of quality of life (QoL) in a large cohort of children with epilepsy, and to assess the relative contribution of clinical, psychosocial, and sociodemographic variables on QoL trajectories. METHODS: Five assessments during a 28-month prospective cohort study were used to model trajectories of QoL. Participants were recruited with their parents from six Canadian tertiary centers. A convenience sample of 506 children aged 8-14 years with epilepsy and without intellectual disability or autism spectrum disorder were enrolled. A total of 894 children were eligible and 330 refused participation. Participating children were, on average, 11.4 years of age, and 49% were female. Nearly one third (32%) had partial seizures. At baseline, 479 and 503 child- and parent-reported questionnaires were completed. In total, 354 children (74%) and 366 parents (73%) completed the 28-month follow-up. QoL was measured using the child- and parent-reported version of the Childhood Epilepsy QoL scale (CHEQOL-25). RESULTS: Child-reported QoL was fitted best by a six-class model and parent-reported QoL by a five-class model. In both models, trajectories remained either stable or improved over 28 months. Of these children, 62% rated their QoL as high or moderately high, defined as at least one standard deviation above the average CHEQOL-25 score. Greater family, classmate, and peer social support, fewer symptoms of child and parent depression, and higher receptive vocabulary were identified as the most robust predictors of better QoL (all p < 0.001). SIGNIFICANCE: Most children with epilepsy and their parents reported relatively good QoL in this first joint self- and proxy-reported trajectory study. Findings confirm the heterogeneous QoL outcomes for children with epilepsy and the primary importance of psychosocial factors rather than seizure and AED-specific factors in influencing QoL. These predictors that are potentially amenable to change should now be the focus of specific intervention studies.

Modeling the mental health service utilization decisions of university undergraduates: A discrete choice conjoint experiment.

OBJECTIVE: We modeled design factors influencing the intent to use a university mental health service. PARTICIPANTS: Between November 2012 and October 2014, 909 undergraduates participated. METHOD: Using a discrete choice experiment, participants chose between hypothetical campus mental health services. RESULTS: Latent class analysis identified three segments. A Psychological/Psychiatric Service segment (45.5%) was most likely to contact campus health services delivered by psychologists or psychiatrists. An Alternative Service segment (39.3%) preferred to talk to peer-counselors who had experienced mental health problems. A Hesitant segment (15.2%) reported greater distress but seemed less intent on seeking help. They preferred services delivered by psychologists or psychiatrists. Simulations predicted that, rather than waiting for standard counseling, the Alternative Service segment would prefer immediate access to E-Mental health. The Usual Care and Hesitant segments would wait 6 months for standard counseling. CONCLUSIONS: E-Mental Health options could engage students who may not wait for standard services.

Characterizing outcome preferences in patients with psychotic disorders: a discrete choice conjoint experiment.

The majority of individuals with schizophrenia will achieve a remission of psychotic symptoms, but few will meet criteria for recovery. Little is known about what outcomes are important to patients. We carried out a discrete choice experiment to characterize the outcome preferences of patients with psychotic disorders. Participants (N=300) were recruited from two clinics specializing in psychotic disorders. Twelve outcomes were each defined at three levels and incorporated into a computerized survey with 15 choice tasks. Utility values and importance scores were calculated for each outcome level. Latent class analysis was carried out to determine whether participants were distributed into segments with different preferences. Multinomial logistic regression was used to identify predictors of segment membership. Latent class analysis revealed three segments of respondents. The first segment (48%), which we labeled "Achievement-focused," preferred to have a full-time job, to live independently, to be in a long-term relationship, and to have no psychotic symptoms. The second segment (29%), labeled "Stability-focused," preferred to not have a job, to live independently, and to have some ongoing psychotic symptoms. The third segment (23%), labeled "Health-focused," preferred to not have a job, to live in supervised housing, and to have no psychotic symptoms. Segment membership was predicted by education, socioeconomic status, psychotic symptom severity, and work status. This study has revealed that patients with psychotic disorders are distributed between segments with different outcome preferences. New approaches to improve outcomes for patients with psychotic disorders should be informed by a greater understanding of patient preferences and priorities.

Using a Discrete Choice Conjoint Experiment to Engage Stakeholders in the Design of an Outpatient Children's Health Center.

OBJECTIVES: To engage users in the design of a regional child and youth health center. BACKGROUND: The perspective of users should be an integral component of a patient-centered, evidence-based approach to the design of health facilities. METHODS: We conducted a discrete choice conjoint experiment (DCE), a method from marketing research and health economics, as a component of a strategy to engage users in the preconstruction planning process. A sample of 467 participants (290 staff and 177 clients or community stakeholders) completed the DCE. RESULTS: Latent class analysis identified three segments with different design preferences. A group we termed an enhanced design (57%) segment preferred a fully featured facility with personal contacts at the start of visits (in-person check-in, personal waiting room notification, volunteer-assisted wayfinding, and visible security), a family resource center with a health librarian, and an outdoor playground equipped with covered heated pathways. The self-guided design segment (11%), in contrast, preferred a design allowing a more independent use of the facility (e.g., self-check-in at computer kiosks, color-coded wayfinding, and a self-guided family resource center). Designs affording privacy and personal contact with staff were important to the private design segment (32%). The theme and decor of the building was less important than interactive features and personal contacts. CONCLUSION: A DCE allowed us to engage users in the planning process by estimating the value of individual design elements, identifying segments with differing views, informing decisions regarding design trade-offs, and simulating user response to design options.

A Latent Class Analysis to Identify Variation in Caregivers' Preferences for their Child's Attention-Deficit/Hyperactivity Disorder Treatment: Do Stated Preferences Match Current Treatment?

OBJECTIVES: To investigate variation in caregiver preferences for their child's attention-deficit/hyperactivity disorder (ADHD) care and to determine if their stated preferences align with current care management. METHODS: Caregivers of a child aged 4-14 years and in care for ADHD were recruited from pediatric outpatient clinics and advocacy groups across the state of Maryland. Participants completed a survey collecting demographics, the child's treatment, and caregiver preferences-elicited using a best-worst scaling experiment (case 2). Latent class analysis was used to identify distinct preference segments and bivariate analyses were used to compare the association between segment membership with what the child was currently receiving for their ADHD. RESULTS: Participants (n = 184) were predominantly White (68%) and the child's mother (84%). Most children had ADHD for 2 or more years (79%). Caregiver preferences were distinguished by two segments: continuous medication (36%) and minimal medication (64%). The two groups had very different preferences for when medication was administered (p < 0.001), but they had similar preferences for provider-oriented and non-medication interventions (p > 0.05 for the caregiver behavior training, provider communication, provider specialty, and out-of-pocket costs). One third of the sample did not receive the preferred individualized education program and 42% of the minimal medication group reported using medication 7 days a week all year round. CONCLUSIONS: Although behavior management training and school accommodations aspects of an ADHD care plan are more important to caregivers than evidence-based medication, fewer families had access to educational accommodations. Further research is needed to clarify how stated preferences for care align with treatments used in actual practice settings.

Modeling the hospital safety partnership preferences of patients and their families: a discrete choice conjoint experiment.

BACKGROUND: Patients and their families play an important role in efforts to improve health service safety. OBJECTIVE: The objective of this study is to understand the safety partnership preferences of patients and their families. METHOD: We used a discrete choice conjoint experiment to model the safety partnership preferences of 1,084 patients or those such as parents acting on their behalf. Participants made choices between hypothetical safety partnerships composed by experimentally varying 15 four-level partnership design attributes. RESULTS: Participants preferred an approach to safety based on partnerships between patients and staff rather than a model delegating responsibility for safety to hospital staff. They valued the opportunity to participate in point of service safety partnerships, such as identity and medication double checks, that might afford an immediate risk reduction. Latent class analysis yielded two segments. Actively engaged participants (73.3%) comprised outpatients with higher education, who anticipated more benefits to safety partnerships, were more confident in their ability to contribute, and were more intent on participating. They were more likely to prefer a personal engagement strategy, valued scientific evidence, preferred a more active approach to safety education, and advocated disclosure of errors. The passively engaged segment (26.7%) anticipated fewer benefits, were less confident in their ability to contribute, and were less intent on participating. They were more likely to prefer an engagement strategy based on signage. They preferred that staff explain why they thought patients should help make care safer and decide whether errors were disclosed. Inpatients, those with immigrant backgrounds, and those with less education were more likely to be in this segment. CONCLUSION: Health services need to communicate information regarding risks, ask about partnership preferences, create opportunities respecting individual differences, and ensure a positive response when patients raise safety concerns.

Simulation study to determine the impact of different design features on design efficiency in discrete choice experiments.

OBJECTIVES: Discrete choice experiments (DCEs) are routinely used to elicit patient preferences to improve health outcomes and healthcare services. While many fractional factorial designs can be created, some are more statistically optimal than others. The objective of this simulation study was to investigate how varying the number of (1) attributes, (2) levels within attributes, (3) alternatives and (4) choice tasks per survey will improve or compromise the statistical efficiency of an experimental design. DESIGN AND METHODS: A total of 3204 DCE designs were created to assess how relative design efficiency (d-efficiency) is influenced by varying the number of choice tasks (2-20), alternatives (2-5), attributes (2-20) and attribute levels (2-5) of a design. Choice tasks were created by randomly allocating attribute and attribute level combinations into alternatives. OUTCOME: Relative d-efficiency was used to measure the optimality of each DCE design. RESULTS: DCE design complexity influenced statistical efficiency. Across all designs, relative d-efficiency decreased as the number of attributes and attribute levels increased. It increased for designs with more alternatives. Lastly, relative d-efficiency converges as the number of choice tasks increases, where convergence may not be at 100% statistical optimality. CONCLUSIONS: Achieving 100% d-efficiency is heavily dependent on the number of attributes, attribute levels, choice tasks and alternatives. Further exploration of overlaps and block sizes are needed. This study's results are widely applicable for researchers interested in creating optimal DCE designs to elicit individual preferences on health services, programmes, policies and products.

Preferences for Early Intervention Mental Health Services: A Discrete-Choice Conjoint Experiment.

OBJECTIVE: Early intervention services (EISs) for mental illness may improve outcomes, although treatment engagement is often a problem. Incorporating patients' preferences in the design of interventions improves engagement. A discrete-choice conjoint experiment was conducted in Canada to identify EIS attributes that encourage treatment initiation. METHODS: Sixteen four-level attributes were formalized into a conjoint survey, completed by patients, family members, and mental health professionals (N=562). Participants were asked which EIS option people with mental illness would contact. Latent-class analysis identified respondent classes characterized by shared preferences. Randomized first-choice simulations predicted which hypothetical options, based on attributes, would result in maximum utilization. RESULTS: Participants in the conventional-service class (N=241, 43%) predicted that individuals would contact traditional services (for example, hospital location and staffed by psychologists or psychiatrists). Membership was associated with being a patient or family member and being male. Participants in the convenient-service class (N=321, 57%) predicted that people would contact services promoting easy access (for example, self-referral and access from home). Membership was associated with being a professional. Both classes predicted that people would contact services that included short wait times, direct contact with professionals, patient autonomy, and psychological treatment information. The convenient-service class predicted that people would use an e-health model, whereas the conventional-service class predicted that people would use a primary care or clinic-hospital model. CONCLUSIONS: Provision of a range of services may maximize EIS use. Professionals may be more apt to adopt EISs in line with their beliefs regarding patient preferences. Considering several perspectives is important for service design.

Patient Preferences of a Low-Income Hispanic Population for Mental Health Services in Primary Care.

We used a discrete-choice conjoint experiment to model the mental health services preferences of patients of a federally-qualified health center serving a primarily low-income, Hispanic farmworker population in southwestern Arizona. The two attributes that had the largest influence on patient choices (i.e., received the highest importance scores) were where patients receive these services and the language and cultural awareness of the provider who prescribed their treatment. Simulations indicated that the clinic could substantially improve its patients' welfare with even a single change. The single most effective change in terms of patient preferences would be to offer behavioral health services onsite.

A Comparison of Methods for Capturing Patient Preferences for Delivery of Mental Health Services to Low-Income Hispanics Engaged in Primary Care.

BACKGROUND: Consideration of patient preferences regarding delivery of mental health services within primary care may greatly improve access and quality of care for the many who could benefit from those services. OBJECTIVES: This project evaluated the feasibility and usefulness of adding a consumer-products design method to qualitative methods implemented within a community-based participatory research (CBPR) framework. RESEARCH DESIGN: Discrete-choice conjoint experiment (DCE) added to systematic focus group data collection and analysis. SUBJECTS: Focus group data were collected from 64 patients of a Federally-Qualified Health Center (FQHC) serving a predominantly low-income Hispanic population. A total of 604 patients in the waiting rooms of the FQHC responded to the DCE. MEASURES: The DCE contained 15 choice tasks that each asked respondents to choose between three mental health services options described by the levels of two (of eight) attributes based on themes that emerged from focus group data. RESULTS: The addition of the DCE was found to be feasible and useful in providing distinct information on relative patient preferences compared with the focus group analyses alone. According to market simulations, the package of mental health services guided by the results of the DCE was preferred by patients. CONCLUSIONS: Unique patterns of patient preferences were uncovered by the DCE and these findings were useful in identifying pragmatic solutions to better address the mental health service needs of this population. However, for this resource-intensive method to be adopted more broadly, the scale of the primary care setting and/or scope of the issue addressed have to be relatively large.

Examining Parents' Preferences for Group and Individual Parent Training for Children with ADHD Symptoms.

Parent training (PT) programs have been found to reduce some behavioral impairment associated with children's attention deficit hyperactivity disorder (ADHD) as well as improve parenting competence, but poor uptake and participation by parents are formidable barriers that affect service effectiveness. We used a discrete-choice experiment (DCE) to examine how parent preferences for treatment format (i.e., group vs. individual) might influence their participation in PT. Participants were 445 parents seeking mental health services for children with elevated symptoms of ADHD in Ontario, Canada. Parents completed a DCE composed of 30 choice tasks used to gauge PT format preference. Results showed that 58.7% of parents preferred individual PT; these parents were most interested in interventions that would make them feel more informed about their child's problems and in understanding-as opposed to solving-their child's problems. A minority of parents (19.4%) preferred group PT; these parents were most interested in active, skill-building services that would help them solve their child's problems. About one fifth of parents (21.9%) preferred the Minimal Information alternative (i.e., receiving neither individual or group PT); these parents reported the highest levels of depression and the most severe mental health problems in their child. Results highlight the importance of considering parent preferences for format and suggest that alternative formats to standard PT should be considered for multiply stressed families.