Defining and Predicting High Cost Utilization in Children's Outpatient Mental Health Services

Examining Patterns of Psychotherapy Service Utilization Among Medicaid-Enrolled Adolescents

OBJECTIVE

Adolescents with behavioral health disorders (i.e., mental health disorders and substance use) often experience frequent recurrence of symptoms, suggesting a need for an ongoing behavioral health intervention, rather than a single course of treatment. However, little is known about mental health care service use among adolescents over longer periods. The authors examined longitudinal patterns of outpatient behavioral health service utilization in a large sample of adolescents.

METHODS

Medicaid claims for 8,197 adolescents (ages 10.0-13.9 years, mean±SD=11.5±1.2; 61% male) from one Indiana county between 2006 and 2017 were examined, with a focus on outpatient psychotherapy visits. Latent class analysis (LCA) was used to detect clusters of longitudinal patterns of outpatient psychotherapy visits across 5 years, beginning with an adolescent's first behavioral health visit.

RESULTS

A five-class LCA model emerged with unique classes of service use based on duration and level of engagement (frequency) of monthly outpatient psychotherapy visits. Most adolescents fell in the nonuse class (38.7% of the sample). Additional classes were defined as late-onset low engagement (17.1%), early-onset high engagement (15.5%), early-onset moderate engagement (16.7%), and continuously high engagement (11.9%). Statistically significant differences were found across the classes in average duration and frequency of involvement (p<0.001), as well as in demographic characteristics (race, age, gender, and ethnicity) and behavioral health diagnoses (p<0.001).

CONCLUSIONS

These findings confirm that adolescents with behavioral health diagnoses do not follow a uniform pattern of psychotherapy utilization. The distinct patterns of service use point toward the need to identify appropriate long-term service recommendations for adolescents.

Identifying Youth Problem Profiles and Predicting Remission Following Mental Health Treatment

This study utilized latent profile analysis to categorize youth served by a public mental health setting into homogenous classes. Then, associations between class membership and meeting clinical criteria by the latest assessment were examined. Caregiver responses to the Ohio Scales, Short Form, Problem Severity Scale for 1090 youth completed at entry into this public mental health system were subjected to latent profile analysis. This method classifies youth into categories based on mental health problem profiles, in order to determine the degree to which these groupings are related to later mental health outcomes. The classification of youth cases that emerged was then used to predict clinical remission at or nearest end of treatment, including final Ohio Scales Problem Severity scores and a measure of day-to-day functioning, the Child and Adolescent Functional Assessment Scale (CAFAS). A four-class model was identified as best representing the data, reflecting a relatively low-risk class (63.3% of the sample), an internalizing class (23.2%), a delinquency class (8.8%), and a high-risk class (4.7%). Individuals in the internalizing and high-risk classes had lower likelihoods of achieving problem remission than those in the low-risk and delinquency classes at the time of their last completed Ohio Scales. Additionally, youth assigned to the delinquency and high-risk classes had lower likelihoods of reaching functional impairment remission than those in the internalizing and low-risk classes. Youth membership in a class based on initial problem scores can be utilized to predict clinical remission over the course of treatment in public mental health care. Such class-based predictions support other methods of predicting outcomes and can be used by clinicians to develop more informed treatment plans and to adjust treatment based on such classifications.

Patterns of Child Mental Health Service Utilization Within a Multiple EBP System of Care

The current study (1) characterizes patterns of mental health service utilization over 8 years among youth who received psychotherapy in the context of a community implementation of multiple evidence-based practices (EBPs), and (2) examined youth-, provider- and service-level predictors of service use patterns. Latent profile analyses were performed on 5,663,930 administrative claims data furnished by the county department of mental health. Multinomial logistic regression with Vermunt’s method was used to examine predictors of care patterns. Based on frequency, course, cost, and type of services, three distinct patterns of care were identified: (1) Standard EBP Care (86.3%), (2) Less EBP Care (8.5%), and (3) Repeated/Chronic Care (5.2%). Youth age, ethnicity, primary language, primary diagnosis and secondary diagnosis, provider language and provider type, and caregiver involvement and service setting were significant predictors of utilization patterns. Although the majority of youth received care aligned with common child EBP protocols, a significant portion of youth (13.7%) received no evidence-based care or repeated, costly episodes of care. Findings highlight opportunities to improve and optimize services, particularly for youth who are adolescents or transition-aged, Asian-American/Pacific Islander, Spanish-speaking, or presenting with comorbidities.

Festschrift for Leonard Bickman: Introduction to The Future of Children's Mental Health Services Special Issue

This introductory article describes the genesis of the Festschrift for Leonard Bickman and of this Festschrift special issue entitled, The Future of Children’s Mental Health Services. The special issue includes a collection of 11 original children’s mental health services research articles, broadly organized in accordance with three themes (i.e., Improving Precision and Use of Service Data to Guide Policy and Practice, Implementation and Dissemination, and Preparing for Innovation), followed by an interview-style article with Bickman. Then follows a featured manuscript by Bickman himself, three invited commentaries, and a compilation of letters and notes in which colleagues reflect on his career and on their experiences of him. The introduction concludes with a few thoughts about the future of children’s mental health services portended by the extraordinary scholarly contributions of Bickman and those who have been inspired by him.

Value of peer mentoring for early career professional, research, and personal development: a case study of implementation scientists

Effective mentoring is a key mechanism propelling successful research and academic careers, particularly for early career scholars. Most mentoring programs focus on models pairing senior and early career researchers, with limited focus on peer mentoring. Peer mentoring may be especially advantageous within emerging areas such as implementation science (IS) where challenges to traditional mentoring may be more prevalent. This special communication highlights the value of peer mentoring by describing a case study of an early career IS peer mentoring group. We delineate our curriculum and structure; support and processes; and products and outcomes. We highlight important group member characteristics to consider during group formation and continuation. The group's long-term (6 years) success was attributed to the balance of similarities and differences among group members. Members were in a similar career phase and used similar methodologies but studied different health topics at different institutions. Group members gave and received instrumental and psychosocial support and shared resources and knowledge. Peer mentoring can serve an important function to provide emotional, logistical, and professional development support for early career scholars. Our case study highlights strategies to foster peer mentoring groups that provide a generalizable blueprint and opportunity for improved outcomes for early career professionals.