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.

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.

Modeling organizational justice improvements in a pediatric health service : a discrete-choice conjoint experiment.

BACKGROUND: Patients value health service teams that function effectively. Organizational justice is linked to the performance, health, and emotional adjustment of the members of these teams. OBJECTIVES: We used a discrete-choice conjoint experiment to study the organizational justice improvement preferences of pediatric health service providers. METHODS: Using themes from a focus group with 22 staff, we composed 14 four-level organizational justice improvement attributes. A sample of 652 staff (76 % return) completed 30 choice tasks, each presenting three hospitals defined by experimentally varying the attribute levels. RESULTS: Latent class analysis yielded three segments. Procedural justice attributes were more important to the Decision Sensitive segment, 50.6 % of the sample. They preferred to contribute to and understand how all decisions were made and expected management to act promptly on more staff suggestions. Interactional justice attributes were more important to the Conduct Sensitive segment (38.5 %). A universal code of respectful conduct, consequences encouraging respectful interaction, and management's response when staff disagreed with them were more important to this segment. Distributive justice attributes were more important to the Benefit Sensitive segment, 10.9 % of the sample. Simulations predicted that, while Decision Sensitive (74.9 %) participants preferred procedural justice improvements, Conduct (74.6 %) and Benefit Sensitive (50.3 %) participants preferred interactional justice improvements. Overall, 97.4 % of participants would prefer an approach combining procedural and interactional justice improvements. CONCLUSIONS: Efforts to create the health service environments that patients value need to be comprehensive enough to address the preferences of segments of staff who are sensitive to different dimensions of organizational justice.

Help-seeking for children with mental health problems: parents' efforts and experiences.

Parents who contacted 1 of 15 children's mental health agencies in Ontario, Canada reported on where and why they were seeking mental health services for their 4- to 17-year-old children. Parents contacted an average of four agencies (± 1.7; range = 1-14) in the previous year. Approximately one-half of parents were looking for either multiple types of treatment, or help for different problems, across agencies. The complex pattern of help-seeking evidenced in our study likely increases the burden on the mental health care system and on families, and may reduce the likelihood that families will connect with the most appropriate treatment.

Adaptive choice-based conjoint analysis: a new patient-centered approach to the assessment of health service preferences.

Conjoint analysis (CA) has emerged as an important approach to the assessment of health service preferences. This article examines Adaptive Choice-Based Conjoint Analysis (ACBC) and reviews available evidence comparing ACBC with conventional approaches to CA. ACBC surveys more closely approximate the decision-making processes that influence real-world choices. Informants begin ACBC surveys by completing a build-your-own (BYO) task identifying the level of each attribute that they prefer. The ACBC software composes a series of attribute combinations clustering around each participant's BYO choices. During the Screener section, informants decide whether each of these concepts is a possibility or not. Probe questions determine whether attribute levels consistently included in or excluded from each informant's Screener section choices reflect 'Unacceptable' or 'Must Have' simplifying heuristics. Finally, concepts identified as possibilities during the Screener section are carried forward to a Choice Tournament. The winning concept in each Choice Tournament set advances to the next choice set until a winner is determined.A review of randomized trials and cross-over studies suggests that, although ACBC surveys require more time than conventional approaches to CA, informants find ACBC surveys more engaging. In most studies, ACBC surveys yield lower standard errors, improved prediction of hold-out task choices, and better estimates of real-world product decisions than conventional choice-based CA surveys.

Modeling the bullying prevention program preferences of educators: a discrete choice conjoint experiment.

We used discrete choice conjoint analysis to model the bullying prevention program preferences of educators. Using themes from computerized decision support lab focus groups (n = 45 educators), we composed 20 three-level bullying prevention program design attributes. Each of 1,176 educators completed 25 choice tasks presenting experimentally varied combinations of the study's attribute levels. Latent class analysis yielded three segments with different preferences. Decision Sensitive educators (31%) preferred that individual schools select bullying prevention programs. In contrast, Support Sensitive educators (51%) preferred that local school boards chose bullying prevention programs. This segment preferred more logistical and social support at every stage of the adoption, training, implementation, and long term maintenance processes. Cost Sensitive educators (16%) showed a stronger preference for programs minimizing costs, training, and implementation time demands. They felt prevention programs were less effective and that the time and space in the curriculum for bullying prevention was less adequate. They were less likely to believe that bullying prevention was their responsibility and more likely to agree that prevention was the responsibility of parents. All segments preferred programs supported by the anecdotal reports of colleagues from other schools rather than those based on scientific evidence. To ensure that the bullying prevention options available reflect the complex combination of attributes influencing real world adoption decisions, program developers need to accommodate the differing views of the Decision, Support, and Cost Sensitive segments while maximizing the support of parents and students.

The Brief Child and Family Phone Interview (BCFPI): 1. Rationale, development, and description of a computerized children's mental health intake and outcome assessment tool.

BACKGROUND: This study describes the development of the Brief Child and Family Phone Interview (BCFPI) - a computer-assisted telephone interview which adapts the revised Ontario Child Health Study's (OCHS-R) parent, teacher, and youth self-report scales for administration as intake screening and treatment outcome measures in children's mental health services. It focuses on the factor structure of the BCFPI's hypothesized parent-reported child mental health scales describing attention-deficit hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), conduct disorder (CD), separation anxiety disorder (SAD), generalized anxiety disorder (GAD), and major depression (MDD). METHODS: Data for the analysis come from an OCHS-R measurement study that included two groups of children and adolescents selected from the same urban area: a general population sample (n = 1,712) and a clinic-referred sample (n = 1,512); and a third sample that was enlisted in a province-wide implementation study of clinic-referred 6- to 18-year-olds (n = 56,825). We used confirmatory factor analysis to assess the factor structure of the BCFPI scales in different populations and to test measurement equivalence across selected groups. RESULTS: Despite the strong constraints imposed on the measurement models, estimates of model fit across the three samples were comparable in magnitude and approached the cut-offs suggested for the GFI and CFI (>.9) and RMSEA (<.05). Measurement equivalence was demonstrated between the OCHS-R clinic and provincial implementation samples. Within the implementation sample, the factor structure of the BCFPI scales was equivalent for boys versus girls and for 6- to 12- versus 13- to 18-year-olds. A companion paper examines the test-retest reliability, sensitivity, specificity, and validity of these BCFPI scales when used for screening. CONCLUSION: This project supports the feasibility and acceptability of a computer-assisted telephone interview for assessing emotional-behavioral problems of children and adolescents referred to children's mental health services.