The Impact of Time Since Menarche for Depressive and Anxiety Symptom Severity in Adolescence and Young Adulthood.

PURPOSE: The study mapped depressive and anxiety symptom trajectories throughout adolescence and early adulthood, arrayed by time since menarche, a novel indicator of pubertal change and examined the effect of age of menarche and pubertal timing, more frequently used variables, on depressive and anxiety symptom severity trajectories. METHODS: Secondary analysis of a cross-sequential prospective longitudinal investigation included a community sample of 262 US, adolescent females. Participants were enrolled in age cohorts of 11, 13, 15, and 17 years. Four annual waves of data were collected. Self-report of age at menarche was categorized into pubertal timing categories. A novel measure "time since menarche" (chronological age at each wave minus age at menarche), was measured along with depressive and anxiety symptom severity. Two-piece growth curve modeling with landmark registration examined depressive and anxiety symptom severity trajectories according to time since menarche. RESULTS: There was no change (p > .05) in depression and anxiety symptom severity before menarche; however, in the years leading away from menarche, depression and anxiety symptom severity decreased (p < .05). Age at menarche was not associated with change in depressive and anxiety symptom severity (p > .05) and there were no moderating effects of pubertal timing. DISCUSSION: Depressive and anxiety symptoms decrease in the years leading away from menarche, suggesting puberty-related psychopathology may be transitory in some individuals. Time since menarche may be a clinically relevant indicator of psychological functioning in pubescent adolescent females. Future studies should examine this variable in larger samples, including more adolescents in the earlier stages of puberty.

Racial and Ethnic Disparities in the Physical Health Outcomes of Children in Foster Care: A Systematic Review.

Children of color-especially Black and Indigenous children-are disproportionately overrepresented in foster care and experience barriers in accessing services and receiving physical and behavioral healthcare compared to their White counterparts. Although racial disparities in mental health outcomes of children in foster care have been examined systematically, less is known about racial disparities in their physical health outcomes. This systematic review aimed to examine disparities in physical health outcomes (i.e., general health, developmental delays and disability, chronic illness, health-compromising behaviors, all-cause mortality) of children in foster care by their race and ethnicity (PROSPERO ID: CRD42021272072). Systematic literature searches were conducted in PubMed, EMBASE, PsycINFO, CINAHL, Cochrane Library, and Psychology and Behavioral Sciences Collection. Of the 6,102 unique studies identified, 24 met inclusion criteria: peer-reviewed journal article; published from 1991 to 2021; written in English; involved children in the U.S. foster care system; children were primarily in family-based placements; included health outcomes; included children's race and ethnicity; conducted quantitative analyses; and had an observational study design. There was limited evidence to suggest racial disparities among physical health domains examined, in part, due to the small number of studies, variability across study measures and designs, how race and ethnicity were categorized, and how related results were reported. Research that disaggregates results by more nuanced race and ethnicity categories, goes beyond including race and ethnicity as control variables, and uses more robust study designs to understand where racial disparities lie is necessary to inform practice and policy efforts to attain race and health equity in child welfare.

Patterns of substance use among adolescents in and out of foster care: An analysis of linked health and child welfare administrative data.

BACKGROUND: Young adults with a history of foster care have higher risk for substance use disorders. Social systems can deliver substance use prevention to youth; however, the timing of intervention delivery and how needs differ for youth in foster care are unclear. OBJECTIVE: To compare initiation and rates of substance use among adolescents in foster care to demographically similar adolescents never in foster care as identified by the healthcare system, and identify factors associated with increased substance use. PARTICIPANTS AND SETTING: Youth in foster care (n = 2787, ages 10-20, inclusive) and demographically matched youth never in foster care (n = 2787) were identified using linked child welfare and electronic health records from a single pediatric children's hospital and county over a five-year period (2012-2017). METHODS: All healthcare encounters were reviewed and coded for substance use by type (alcohol, tobacco, cannabis, other). Age of first reported or documented substance use was also captured. Demographic and child welfare information was extracted from administrative records. Survival and logistic regression models were estimated. RESULTS: In adjusted models, youth in foster care initiated substance use at earlier ages (HR = 2.50, p < .01) and had higher odds of engaging in use (AOR = 1.54; p < .01) than youth never in care. By age 12, substance use initiation was more likely while youth were in foster care than when they were not in foster care (HR = 1.42, p < .01). Placement stability and family care settings reduced odds of lifetime substance use. CONCLUSIONS: Foster care placement is associated with substance use. Screening may be important for prevention.

Mental Health Diagnoses, Health Care Utilization, and Placement Stability on Antipsychotic Prescribing Among Foster Care Youth.

OBJECTIVE: This study sought to examine how mental health diagnoses, health care utilization and foster care placement instability affect antipsychotic prescribing and how these factors may contribute to disproportionate antipsychotic prescribing among youth in foster care. METHODS: This retrospective cohort study utilized EHR data that were linked to administrative child welfare data. Two outcome variables were analyzed: 1) any antipsychotic prescription documented and 2) number of antipsychotic prescriptions documented. Predictor variables included foster care status, number of unique mental health diagnoses, counts of health care encounters over the study period, and counts of foster care placements. Covariates included gender, persons of color, and age in years. Models were estimated using logistic regression for the dichotomous outcome and Poisson regression for the count outcome. RESULTS: Increased antipsychotic prescribing among children in foster care persists even after accounting for mental health diagnoses and health care utilization. However, the number of placements modified the effect of foster care involvement on antipsychotic prescribing such that after 2 placement changes, the odds of being prescribed an antipsychotic surpassed the effect of foster care involvement. More mental health diagnoses, more inpatient and emergency health care encounters, and more foster care placements were associated with an increased odds of being prescribed an antipsychotic and an increased count of antipsychotic prescriptions. Decreased primary care encounters were associated with increased odds of antipsychotic prescriptions, and decreased specialty encounters were associated with higher counts of antipsychotic prescriptions. CONCLUSIONS: Placement instability is associated with disproportionate antipsychotic prescribing among youth in foster care.

Careful: An administrative child welfare and electronic health records linked dataset.

Between 2012 and 2017, N = 2814 youth between the ages of 4 and 20 were in child protective services (CPS) custody in Hamilton County, Ohio, and placed in out-of-home care. Child welfare administrative records were extracted and linked to electronic health records for all encounters at Cincinnati Children's Hospital Medical Center, with n = 2787 (99.1%) of records successfully linked prior to de-identifying the data for research purposes. Child welfare administrative data fields in the dataset include demographics, dates of entry into and exit from protective custody and out-of-home care, reasons for entry into custody, dates of placement changes, reasons for placement changes, and types of placement (e.g., foster home, kinship home, group home, residential treatment, independent living). Electronic health records (EHR) data fields include demographics, all inpatient and outpatient encounters with medications, diagnoses, screening results, laboratory test results, flowsheet data, and problem list entries. Data have been coded to capture broader categories of health needs and encounter details, medications, and other health concerns. Due to the high representation of children in CPS custody and out-of-home care who are also represented in the EHR data, this dataset provides a comprehensive view of the medical needs and health concerns for school-aged children in CPS custody in an entire county. As a result, these data can be useful for understanding the emergence of global and specific health concerns, frequency of healthcare use, and placement stability for all youth in CPS custody in this community, accounting for variation due to other health and child welfare factors. These data are likely generalizable to other mid-sized urban communities where academic medical centers provide healthcare for children in CPS custody. De-identified data may be made available to other researchers with approved data transfer agreements between academic institutions in place.

Child Protective Custody Placement for Children with Developmental Disorders.

OBJECTIVE: The purpose of this study was to determine whether children with developmental disorders (DDs) in protective custody are more likely to experience specific placement types and stay in care longer than their typically developing peers. Furthermore, in the DD-only group, we examined whether the likelihood of each placement type differed by specific DD diagnosis. METHODS: This observational retrospective study used child welfare administrative data linked to electronic health records in a large Ohio county. Participants were aged 5 to 20 years (N = 2787). DD diagnoses were determined using problem list and encounter diagnosis codes. RESULTS: Children with versus without DD were less likely to be in kinship placement (adjusted odds ratio [aOR], 0.79; 95% confidence interval [CI]: 0.66-0.94) and more likely to be in congregate care (aOR, 1.26; 95% CI: 1.04-1.53) and nonrelative foster care (aOR, 1.20; 95% CI: 1.00-1.45). A likelihood of independent living placement did not differ for those with and without DD. Those with versus without DD had longer lengths of stay in protective custody ( p ≤ 0.001), but the number of placement changes did not differ after accounting for length of stay. The pattern of results differed somewhat by individual DD diagnosis. CONCLUSION: Compared with their typically developing peers, children with DD are less likely to be in kinship care and tend to have longer lengths of stay in protective custody. If replicated, these findings suggest the need to identify and address mechanisms to support children with DD across placement settings and to better understand factors prolonging their protective custody stay.

Understanding the impact of COVID-19 on stress and Access to Services for Licensed and Kinship Caregivers and Youth in Foster Care.

Children in foster care in the United States face unique challenges related to access to health and education services. With the COVID-19 pandemic, many of those services were temporarily disrupted, adding burden to an already strained system. This observational study describes the experiences of licensed and kinship caregivers (N = 186) during the peak of COVID-19 stay-at-home orders and as restrictions to services were lifted, to understand the overall impact of COVID-19 on this already vulnerable population. Purposive sampling methods were used, where caregivers known to have received placement of children prior to, during, and following COVID-19 stay-at-home orders were identified and recruited to complete a 45-minute phone-administered survey assessing stress, risks for contracting COVID-19, strain resulting from COVID-19, and access to services for children in foster care in their care across five domains: healthcare, mental health, education, child welfare, and family visitation. Differences by caregiver type (licensed, kinship) and timing in the pandemic were examined. Licensed and kinship caregivers reported similar social and economic impacts of COVID-19, including similar rates of distress for themselves and the youth placed with them. Almost half of caregivers experienced challenges accessing mental health services, with access to services more disrupted during COVID-19 stay-at-home orders. Caregiver reports regarding the social and economic impacts of COVID-19 were similar across the study, suggesting that lessened restrictions have not alleviated strain for this population.

Impact of Automated Information Sharing on Health Care Delivery to Youths in Foster Care.

Children in foster care have higher health care costs and poor care coordination, often due to inconsistent information exchanged between health care and child welfare systems. This study implemented secure automated information sharing and detected improvements in time spent gathering information, health care services delivered, and billing practices at participating health care systems.

Development and Preliminary Validation of a Multidimensional Psychosocial Assessment Strategy for Young Adults With Cancer.

OBJECTIVE: Regular psychosocial assessment is a best-practice guideline for young adult oncology care, but multipurpose, multidimensional, developmentally appropriate patient-reported outcome measurement strategies for young adults with cancer are lacking. This study reported on the development and preliminary validation of the Young Adult Psychosocial Assessment Strategy (YA-PAS), a tool designed to meet this clinical need. METHODS: The YA-PAS was developed based on the literature and clinician feedback. 20 young adults with cancer participated in cognitive interviews to provide feedback on complexity, readability, and applicability to inform measure refinement. Following refinements, 100 young adults with a history of cancer participated in an observational study including a preliminary evaluation of YA-PAS factor structure, internal consistency, test-retest reliability, construct and criterion validity, feasibility, and acceptability. RESULTS: Cognitive interviews and psychometric evaluation informed modifications and resulted in a measure with 9 domains (anxiety, depression, cognitive functioning, post-traumatic stress, family stressors, support, social isolation, self-efficacy for symptom management, and self-efficacy for medication management) and nonscoring items assessing substance use, life stressors, resources, educational/vocational status, and relationship status. 8 of 9 domains demonstrated acceptable internal consistency (Cronbach's α ≥ 0.70), substantial (r = 0.61-0.80) or almost perfect (r > 0.80) test-retest reliability, and evidence of domain and cut-point validity. 89% of participants were able to complete the YA-PAS within 20 min and 87% were satisfied with the measure. CONCLUSIONS: The YA-PAS demonstrated promising psychometric properties, feasibility, and acceptability. Clinical implications and research recommendations are discussed.

Opportunities for Enhanced Transition of Care Preparation for Adolescents and Emerging Adults With Type 1 Diabetes: Use of the READDY Transition Tool.

There is an ongoing need to determine best practices for effective transition from pediatric to adult care for adolescents and emerging adults (EAs) with type 1 diabetes given the potential for poor health outcomes post-transfer. This study evaluated self-reported confidence ratings as measured by the Readiness of Emerging Adults with Diabetes Diagnosed in Youth (READDY) tool among adolescents and EAs with type 1 diabetes and the association of the confidence ratings with clinical and demographic characteristics, as well as provider documentation of relevant anticipatory guidance topics. The READDY is a diabetes-specific tool used to collect patient-reported confidence in transition preparation topics to target educational interventions. These interventions are divided into four domains: Diabetes Knowledge, Health System Navigation, Insulin Self-Management, and Health Behaviors. A retrospective chart review was conducted of patients 15-24 years of age with type 1 diabetes who completed the READDY survey between January 2017 and January 2018 at a single center. Overall patient-reported confidence levels were high. However, adolescents and EAs endorsed their lowest levels of confidence on items assessing knowledge of alcohol, tobacco, sexual health, and the impact of diabetes on pregnancy (females only), with the percentages of low scores of 20.7, 25.9, 35.9, and 42.9%, respectively. Documentation of provider counseling about screening and prevention of diabetes comorbidities, alcohol use, and tobacco use was associated with scores in the higher range for the corresponding item in the READDY survey. These findings highlight an opportunity to create interventions related to developmentally important topics for adolescents and EAs with type 1 diabetes to enhance successful transition preparation.

Patterns of healthcare utilization with placement changes for youth in foster care.

BACKGROUND: Children in foster care experience poor health and high healthcare use. Child welfare agencies frequently require healthcare visits when children enter foster care; subsequent placement changes also disrupt healthcare. Studies of healthcare use have not accounted for placement changes. OBJECTIVE: To understand patterns of healthcare use throughout the time a child enters foster care and with placement changes, accounting for mandated visits when children enter foster care or experience a placement change. PARTICIPANTS AND SETTING: Children 4 and older in foster care between 2012 and 2017 (N = 2787) with linked child welfare administrative data from one county child welfare agency and one Midwest pediatric healthcare system. METHODS: Negative binomial models predicted healthcare days per month that were planned (e.g., scheduled primary/specialty care), unplanned (e.g., emergency care), or missed. RESULTS: Planned healthcare days increased as a function of placement changes (Incident Rate Ratio [IRR] =1.69, p < .05) and decreased with placement stability (IRR = 0.92, p < .01). Mandated visits that occurred later in a placement were associated with fewer planned (IRR = 0.81, p < .01) and unplanned (IRR = 0.82, p < .01) healthcare days during that placement. CONCLUSIONS: Patterns of planned healthcare over the time children are in one placement and move between placements suggest more can be done to ensure youth remain connected to primary and specialty care throughout placements and placement transitions, s that children are seen as clinically appropriate rather than a function of placement disruption. Findings regarding the timing of mandated visits suggest that delays in mandated care may also reflect lower healthcare use overall.

Effects of Child Protective Custody Status and Health Risk Behaviors on Health Care Use Among Adolescents.

OBJECTIVE: To determine whether current protective custody status (ie, youth currently in the temporary or permanent custody of child protective services, eg, foster and kinship care) contributes to increased health care utilization compared to youth never in protective custody. Health characteristics (eg, mental health diagnoses) and behaviors (eg, substance use) were expected to account for differences in health care use among the two groups. METHODS: Retrospective child welfare administrative data and linked electronic health records data were collected from a county's child welfare system and affiliated freestanding children's hospital between 2012 and 2017. Youth currently in protective custody (n = 2787) were identified and demographically matched to peers never in custody (n = 2787) who received health care from the same children's hospital. Health care use, health risk behaviors, and social, demographic, and diagnostic data were extracted and compared for both cohorts. RESULTS: In baseline models, health care use was higher for youth in protective custody compared to peers. In adjusted models that included health risk behaviors and patient characteristics, protective custody status was associated with decreased primary and missed care, and no longer a significant predictor of other types of health care use. CONCLUSIONS: Youth had significantly higher utilization while in protective custody than their demographically similar peers; however, health risk behaviors appear to account for most group differences. Identification of current custody status in pediatric settings and addressing health risk behaviors in this population may be important for health care systems interested in altering health care use and/or cost for this population.

Resilience factors in youth transitioning out of foster care: A systematic review.

OBJECTIVE: Youth who emancipate from the foster care system often experience poor outcomes during their transition into independent living (e.g., criminal justice involvement and homelessness). Yet, some youth are resilient and achieve positive outcomes. The purpose of this study is to review the resilience factors identified in the literature for youth transitioning out of care. METHOD: A systematic review of the literature was conducted using PsycINFO, PubMed, and EMBASE databases. A total of 12 studies met our inclusion criteria. RESULTS: A total of 38 different resilience factors were identified across the studies reviewed. From these resilience factors, 18 were statistically significant, including four assets and 14 resources. CONCLUSION: Understanding the assets and resources that promote resilience can aid clinicians in assessing and capitalizing on youths' strengths and can help researchers develop effective interventions and target gaps in the literature. Further, it can assist policymakers in generating legislation to improve outcomes for foster youth transitioning out of care. To assist in this process, we systematically reviewed studies to provide a summary of resilience factors currently identified in the literature. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Modeling changes in adolescent health risk behaviors approaching and just after the time of emancipation from foster care.

BACKGROUND: Emancipated foster youth frequently engage in behaviors that contribute to poor health. Whether health risk behaviors increase following emancipation or are established while in foster care remains unclear. OBJECTIVE: This secondary data analysis examined substance use and attitudes toward sexual risk behaviors to understand continuity in risk behaviors among foster youth before emancipation and following emancipation. PARTICIPANTS AND SETTING: Youth ages 16-20 (N = 151) who had been in foster care for at least 12 months and were expected to emancipate were recruited. The urban county where the study was conducted allowed youth to remain in foster care until 21 years of age. METHODS: Participants completed surveys assessing substance use and attitudes toward sexual risk behaviors at baseline, 6 and 12 months. Multilevel models estimated trajectories of health behaviors and attitudes, with emancipation timing as the primary predictor. Individual and child welfare characteristics were included as covariates. RESULTS: Substance use did not change with emancipation (Bs = 0.01, p = 0.81) and positive attitudes about risky sexual behavior significantly decreased as youth approached emancipation (Bs = 1.67, p < 0.01). Placement instability and adversity were not associated with either outcome (ps > 0.08). Females reported more positive attitudes about higher-risk sexual behavior than males (B = 3.09, p < 0.01) and less substance use (B = -1.15, p = 0.03). CONCLUSIONS: Substance use and attitudes about sexual risk behaviors are established before emancipation; interventions prior to emancipation are necessary to improve health outcomes.

Systematic Review of Substance Use Measurement Tools in Adolescent and Young Adult Childhood Cancer Survivors.

Substance use among adolescents and young adults (AYAs) is associated with an increased risk of poor physical and mental health outcomes. For AYA childhood cancer survivors (CCSs), substance use may also increase their likelihood of experiencing late effects. As a result, professional organizations recommend that AYA CCSs be regularly screened for risk behaviors, including substance use. The best methods for assessing these behaviors as part of clinical care for AYA CCSs, however, remain unclear. To begin to address this gap, the purpose of this study was to systematically review written substance use measures that have been used with AYA CCSs and published between 2000 and 2020. A search of PubMed, PsycINFO, and CINAHL using terms related to substance use and AYA CCSs identified 47 articles representing 20 different written substance use measures that evaluated current substance use (i.e., use of alcohol, tobacco, marijuana, prescription medications taken in a manner other than as prescribed, and/or other illicit substances within the 12 months). Measures varied in domains assessed, item formats, and response formats. Results are presented alongside recommendations for selecting screening tools for use with AYA CCS populations in both clinical and research settings.

Developmental Service Referrals and Utilization Among Young Children in Protective Custody.

Children in foster care are at high risk for developmental delay. In this retrospective cohort study of young children presenting to a foster care clinic, 77% were not receiving developmental services and 75% failed developmental screening. Of those potentially eligible, 60% were not referred for developmental services.

Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.

Numerous tutorial publications are available to researchers seeking the procedures needed to analyze longitudinal count response variable data. However, most of the available tutorial publications have drawbacks that limit their usefulness to applied researchers, and to the best of our knowledge, very few publications make both the sample data and the data analysis syntax scripts available to readers to allow an interactive replication of analyses. The purpose of this article is to provide readers a systematic tutorial for analyzing longitudinal count data that involves a discontinuity, or an intervening event that alters the count change trajectory, using multilevel generalized linear mixed models. The longitudinal count data analysis model options and their assumptions, how the linear model equations for each can be used to correctly specify and analyze each model using Mplus or R, how to select the best-fitting longitudinal count model, and how to interpret and present results, are all described. The example data, analysis syntax scripts, and additional files are all available to readers as online supplemental materials. (PsycInfo Database Record (c) 2021 APA, all rights reserved).