Predicting level of mental health care among children served in a delivery system in a rural state

Detection of traumatic stress in the presence of traumatic experiences: the role of resilience factors in foster care children five years or younger

BACKGROUND

Children less than five years of age comprised approximately 30% in 2020 of foster care entries in the United States, and they are consistently the largest foster care entry group. Very young children can respond differently to the same adverse life events. Detection of complex interpersonal traumas is core to providing appropriate interventions and prevention of reoccurring negative outcomes in these children.

METHODS

Children who (1) were identified as having experienced complex interpersonal trauma, but (2) who did not have traumatic stress symptoms were identified using Child and Adolescent Needs and Strengths data in a large midwestern state from 2010 to 2021. A logistic model was fit to determine the effect of cumulative traumatic exposures (e.g., adverse childhood experiences such that increased events were hypothesized to predict an increased likelihood of symptomatic detection. We conducted a latent class analysis to understand the relationship between traumatic experiences, asset-based factors, and the detection of traumatic stress in children aged five years and under who had exposure to traumatic events but did not have detectable traumatic stress symptoms.

RESULTS

We detected three classes within this population of very young children, who were described as "resilient" (demonstrating asset-based resilience when faced with traumatic experiences), "missed" (those who exhibit behavioral and mental health types like those with detected traumatic stress symptoms but who were not detected as such), and "unfolding". Very young children do demonstrate asset-based resilience when faced with traumatic experiences.

CONCLUSIONS

Detection of traumatic stress may be more difficult in young children. It is important to assess both traumatic stress and strengths to ensure that children who are resilient after exposure to traumatic experiences (i.e., do not demonstrate traumatic stress symptoms) are not referred to unnecessary interventions. Additional educational approaches are needed to help caseworkers identify symptoms of traumatic stress that mirror symptoms of other behavioral and emotional challenges. Precision medicine approaches are required to best match the interventions to specific needs of young children. Recognition of resilience in very young children is critical for designing systems that customize approaches of trauma-informed care.

Understanding trauma experiences and needs through a comprehensive assessment of transition age youth in child welfare

BACKGROUND

In the context of child welfare, Transition Age Youth (TAY) have high rates of trauma experiences (TEs) and are more likely to exhibit negative outcomes as they transition into adulthood.

OBJECTIVE

This study describes the frequency and distribution of TEs among TAY in child welfare, as a whole and across sex and race/ethnicity. This study also examines the relationship between TEs and Child and Adolescent Needs and Strengths (CANS) needs.

PARTICIPANTS AND SETTING

Participants included 3324 TAY (14.5 to 21-year-olds) who were under the care of the Illinois Department of Child and Family Services (IDCFS) and in out-of-home care for at least one year.

METHODS

The CANS was the primary measure for this study. Administrative and clinical data were examined for youth who met the identified criteria. Pearson's chi-square tests of association were conducted to determine differences in TEs across race/ethnicity and sex. Negative binomial regressions were used to determine the association between TEs and needs.

RESULTS

Most TAY had at least one TE (91%) and the majority had four or more TEs (52%). Significant differences occurred in relation to sex and race/ethnicity. Furthermore, TEs were significantly associated with needs across all CANS domains examined (e.g., behavioral/emotional needs, life domain functioning).

CONCLUSIONS

This is one of the few empirical studies to examine TEs and related functional, behavioral, and emotional needs of TAY in child welfare. Overall, findings suggest a need for improving trauma-informed approaches and interventions that serve TAY.

Using natural language processing to classify social work interventions

OBJECTIVES

Health care organizations are increasingly employing social workers to address patients' social needs. However, social work (SW) activities in health care settings are largely captured as text data within electronic health records (EHRs), making measurement and analysis difficult. This study aims to extract and classify, from EHR notes, interventions intended to address patients' social needs using natural language processing (NLP) and machine learning (ML) algorithms.

STUDY DESIGN

Secondary data analysis of a longitudinal cohort.

METHODS

We extracted 815 SW encounter notes from the EHR system of a federally qualified health center. We reviewed the literature to derive a 10-category classification scheme for SW interventions. We applied NLP and ML algorithms to categorize the documented SW interventions in EHR notes according to the 10-category classification scheme.

RESULTS

Most of the SW notes (n = 598; 73.4%) contained at least 1 SW intervention. The most frequent interventions offered by social workers included care coordination (21.5%), education (21.0%), financial planning (18.5%), referral to community services and organizations (17.1%), and supportive counseling (15.3%). High-performing classification algorithms included the kernelized support vector machine (SVM) (accuracy, 0.97), logistic regression (accuracy, 0.96), linear SVM (accuracy, 0.95), and multinomial naive Bayes classifier (accuracy, 0.92).

CONCLUSIONS

NLP and ML can be utilized for automated identification and classification of SW interventions documented in EHRs. Health care administrators can leverage this automated approach to gain better insight into the most needed social interventions in the patient population served by their organizations. Such information can be applied in managerial decisions related to SW staffing, resource allocation, and patients' social needs.

Treatment Retention Among Patients Participating in Coordinated Specialty Care for First-Episode Psychosis: a Mixed-Methods Analysis

Young adults experiencing first-episode psychosis have historically been difficult to retain in mental health treatment. Communities across the United States are implementing Coordinated Specialty Care to improve outcomes for individuals experiencing first-episode psychosis. This mixed-methods research study examined the relationship between program services and treatment retention, operationalized as the likelihood of remaining in the program for 9 months or more. In the adjusted analysis, male gender and participation in home-based cognitive behavioral therapy were associated with an increased likelihood of remaining in treatment. The key informant interview findings suggest the shared decision-making process and the breadth, flexibility, and focus on functional recovery of the home-based cognitive behavioral therapy intervention may have positively influenced treatment retention. These findings suggest the use of shared decision-making and improved access to home-based cognitive behavioral therapy for first-episode psychosis patients may improve outcomes for this vulnerable population.

The Strengths of Youth in a Public Behavioral Health System: Measurement Choices, Prevalence Rates, and Group Differences

Youth with severe emotional and behavioral problems receiving services in public behavioral health systems have strengths that are understudied in research and underutilized in practice. This study explores four alternative strategies (individual item scores, the number of "actionable" strengths, subscales, and a total composite) for summarizing the strengths of youth assessed with the Child and Adolescent Needs and Strengths (CANS) in a large, urban, public behavioral health system. The paper examines whether these summarization strategies produce divergent understandings of the prevalence of strengths across gender, age, and racial groups. Analyses suggest that youth enter this system with high levels of strengths. There are few group differences in strengths across the diverse summarization strategies. Though the practice-preferred method of using individual strengths items provides the most interpretable information about strengths, the aggregation strategies may be useful for programs and systems. Implications for policy and practice are discussed.

Obesity in rural youth: looking beyond nutrition and physical activity

Contributors to excessive obesity in rural youth include well-documented nutrition and physical activity behaviors. However, emerging research suggests that preventing excessive weight gain and smoking during pregnancy, teen pregnancy, and child abuse also could reduce obesity in this vulnerable population. These traditional and emerging, nontraditional factors need to be addressed within the confines of current challenges faced by rural communities. An enhanced ecological model provides a framework for combining traditional and nontraditional factors into a more comprehensive approach that addresses the complexity of the issues contributing to youth obesity.

Contextual and individual-level predictors of abused children's reentry into out-of-home care: a multilevel mixture survival analysis

OBJECTIVES

This study examined the effects of individual and contextual factors on reentry into out-of-home care among children who were discharged from child protective services in fiscal year 2004-2005. The objectives were to: (1) examine individual and contextual factors associated with reentry, (2) explore whether there are meaningful groups of youth who differ in terms of risk for reentry, and (3) determine whether relatively homogeneous clusters of child welfare agencies, based on contextual characteristics, differ significantly in terms of the reentry rates of the children whom they serve.

METHOD

The study design involved a multilevel longitudinal analysis of administrative data based on an exit cohort. Two Cox proportional hazards multilevel mixture models were tested. The first model included multiple individual level predictors and no agency level predictors. The second model included both levels of predictors.

RESULTS

The results of multilevel Cox regression mixture modeling indicated that at the individual level, younger age, being placed in out-of-home care because of neglect and having physical, health problems corresponded to a decreased likelihood for reentry. At the agency level, lower average expenditures per child and contracting out case management services were associated with faster reentry into out-of-home care.

CONCLUSIONS

This study demonstrates that children who reenter out-of-home care appear to be a homogeneous population and that reentry is associated with both contextual factors and individual characteristics.

PRACTICE IMPLICATIONS

The most important implication that can be drawn from the study findings is that reentry may be most effectively prevented by focusing on such factors at the organizational level as contracting out case management services and funding allocation. Child welfare agencies that are responsible for an array of services and decide to contract out case management should consider the use of performance-based contracts and emphasize and strengthen quality assurance approaches for contracted services. In addition, to compensate for lower funding allocated for children served in out-of-home care, child welfare workers should become more familiar with community resources and help connect families to these supports.

Unmet need for community-based mental health and substance use treatment among rural adolescents

This research assessed the extent of unmet service need for rural youth with mental health (MH) and/or substance use (SU) problems. All adolescents (12-18 years old) living in a three-county region of Iowa and discharged from outpatient MH or SU treatment were included (n = 177). Chart review was used to retrospectively assess service utilization and clinical characteristics at time of admission and discharge. Two-thirds (64%) of adolescents with co-occurring disorders did not receive treatment consistent with widely supported guidelines recommending that individuals with co-occurring disorders receive treatment for both their MH and SU problems. Higher severity of depression, more supports, prior MH service utilization and lower prevalence of prior abuse predicted the receipt of dual services. Finally, adolescents with co-occurring problems who received only MH treatment showed improvement on MH needs at discharge but no improvement on SU needs. Similarly, adolescents with co-occurring problems who received only SU treatment showed improvement on SU needs but not on MH needs. There is considerable unmet treatment need among rural adolescents with co-occurring disorders. Efforts to improve care must focus on adolescent, familial, program, funding and policy factors that act as barriers to unifying philosophies and practices needed to advance appropriate care.