Understanding and Addressing the Needs of Students in Special Education Through a Trauma-Informed Resilience Curriculum.

This school program evaluation aims to highlight the mental health needs of students in special education with behavioral and emotional challenges and describe the implementation of a resilience curriculum with this population. We evaluated district mental health data from a convenience sample of 814 students in grades 5-12 special education to identify risk for mental health symptoms, violence exposure, and substance use. School social workers provided feedback on the implementation of the resilience curriculum to inform program evaluation. Students reported significant risk for traumatic stress, anxiety, and depressive symptoms, and high rates of violence exposure and substance use. School social workers described adaptations to the resilience curriculum and gave recommendations for future implementation. Students receiving special education services for behavioral and emotional challenges had high mental health need, including high rates of violence exposure, and may benefit from a trauma-informed school-based resilience curriculum adapted for their needs.

Department of Anesthesiology Skilled Peer Support Program Outcomes: Second Victim Perceptions.

BACKGROUND: Most anesthesia providers experience an adverse event during their training or career. Limited evidence suggests skilled peer support programs (SPSPs) reduce initial distress and support adaptive functioning and coping. This study evaluated second victim perceptions of a voluntary SPSP. METHODS: An SPSP was developed and implemented for all clinical and administrative personnel in the Department of Anesthesiology and Perioperative Medicine in three hospitals and six outpatient surgery centers in December 2017. The program incorporated the Scott Three-Tiered Interventional Model of Second Victim Support. Surveys were offered to clinicians in the department prior to implementation of the SPSP and again 18 months after implementation. Among the subset of respondents who experienced a serious adverse patient event, the authors used multiple logistic regression models that adjusted for role and number of night shifts per month to examine differences in perceived resource availability and post-event support received following implementation of the program. RESULTS: There were 94 surveys (83 complete; 11 partially complete) collected prior to implementation and 84 surveys (67 complete; 17 partially complete) collected after implementation. A total of 25 individuals took the survey at both pre and post (19 complete). After implementation, 62.5% of respondents indicated that institutional support had improved since the occurrence of their serious adverse patient event. Statistical models identified a significant improvement in the probability that a clinician agreed with the statement "I think that the organization learned from the event and took appropriate steps to reduce the chance of it happening again" at post vs. pre (adjusted odds ratio [aOR] 3.9, 95% confidence interval [CI] 1.01-15.1. A statistically significant increase from pre to post in the perceived availability of formal emotional support was identified (aOR 5.2, 95% CI 1.9-22.5). CONCLUSION: Implementation of a skilled peer support program within a large department of anesthesiology can improve institutional-based emotional support.

Multiple Informant Cluster Analysis Findings: Which Military-Connected Preschool Aged Children Are Doing Well and Why?

Informed by models of resilience in military families, we explored factors theorized to be associated with social-emotional resilience and risk among young military-connected children. Our secondary analysis of cross-sectional data from 199 military-connected families (n = 346 parents) with at least one preschool-age child in the home (n = 199) led to the empirical identification of two distinct clusters: families with children demonstrating healthy social-emotional functioning and those showing indicators of poor social-emotional functioning. We then identified factors associated with membership in each cluster to determine which deployment and parental wellbeing variables were salient for young child adjustment. Parent psychological health symptoms, parenting, child behavior, and parent-child relationships were measured by parent report and observed interaction. Children with healthier social-emotional functioning were found to be residing with families experiencing less stress and distress. The importance of maternal trauma history is highlighted in our study, as elevated maternal symptoms across all three posttraumatic stress disorder symptom domains were associated with child social-emotional risk. Basic family demographic characteristics did not contribute significantly to the cluster distinctions, nor did military service factors such as active duty, reserve or veteran status, military rank or parent deployment history. These findings are important as the results deemphasize the importance of military service characteristics and highlight the importance of parent wellbeing when considering social-emotional risk and resilience of young children within military families.

Implementing depression care in under-resourced communities: a school-based family resilience skill-building pilot randomized controlled trial in the United States.

Introduction: Youth in under-resourced communities are more likely to have greater social risk factors for mental health needs yet have less access to needed care. School-based mental health services are effective in treating common disorders such as adolescent depression; however, few have a family-centered approach, which may especially benefit specific populations. Methods: Utilizing a community-partnered approach, we adapted an established, trauma-informed, resilience skill-building family intervention for adolescents with depression. We conducted a small randomized controlled feasibility pilot of an adapted intervention in a large school district that serves predominately low-income, Latinx students in the Southwest United States between 2014-2017. Youth between the ages of 12-18 years old with a Patient Health Questionnaire (PHQ-8) score of 10 or higher, who spoke English or Spanish, were recruited from 12 school mental health clinics. Twenty-five eligible adolescents with depression and their participating caregivers were enrolled and randomly assigned to receive either the adapted intervention, Families OverComing Under Stress for Families with Adolescent Depression (FOCUS-AD), or usual care, Cognitive Behavioral Therapy (CBT) only. Most of the sample was Latinx and female. We evaluated feasibility, acceptability, and preliminary effectiveness. Results: Among participants who completed standardized assessments administered at baseline and approximately five months post-randomization (n = 10 FOCUS-AD, n = 11 CBT only), effectiveness was explored by identifying significant changes over time in adolescent mental health within the FOCUS-AD and CBT only groups and comparing the magnitude of these changes between groups. Nonparametric statistical tests were used. We found the FOCUS-AD intervention to be feasible and acceptable; participant retention was high. Adolescent symptoms of depression (measured by the PHQ-8) improved significantly from baseline to follow-up for youth in both FOCUS-AD (median decrease [MD] = 10, p = 0.02) and control (MD = 6, p = 0.01) groups, with no significant difference across the two groups. Results were similar for symptoms of PTSD (measured by the Child PTSD Symptom Scale; FOCUS-AD MD = 12.5, p = 0.01; CBT only MD = 7, p = 0.04; no significant difference between groups). Conclusion: Family-centered approaches to depression treatment among adolescents living in under-resourced communities may lead to improved mental health, although further research is warranted.

Hybrid delivery of behavioral health screening and prevention intervention for pediatric heart transplant recipients and families: A randomized pilot study.

BACKGROUND: A significant number of pediatric heart transplant recipients and their families experience post-traumatic stress symptoms following transplantation, which can impact recipient behavioral and medical health outcomes. Preventive behavioral health interventions may improve outcomes, especially if interventions can be delivered at a distance to decrease barriers to mental health care. This pilot study examined the acceptability and accessibility of an evidence-informed resilience training program delivered using a video telehealth platform. A secondary aim was to assess the preliminary efficacy of the intervention on recipient behavioral health outcomes, perceived barriers to recipient medication adherence, parent behavioral health outcomes, and family functioning. METHODS: Seventeen heart transplant recipients (8-18 years old) and their families were recruited and randomly assigned to a treatment as usual (n = 8) or an intervention group (n = 9). Baseline assessment data collected included demographic information and validated behavioral health measures. Follow-up assessments included the validated measures and acceptability and satisfaction ratings. RESULTS: The study demonstrated that the program has high acceptability by recipients and parents, and a positive impact on recipients and parents, including significant reductions in youth behavioral difficulties as well as parent depression and post-traumatic stress symptoms. CONCLUSIONS: Results of this study are promising and call for further evaluation of hybrid delivery models for behavioral health screening and prevention interventions for pediatric heart transplant recipients and their families.

A semi-Markov multistate cure model for estimating intervention effects in stepped wedge design trials.

Multistate models are useful for studying exposures that affect transitions among a set of health states. However, they can be challenging to apply when exposures are time-varying. We develop a multistate model and a method of likelihood construction that allows application of the model to data in which interventions or other exposures can be time-varying and an individual may to be exposed to multiple intervention conditions while progressing through states. The model includes cure proportions, reflecting the possibility that some individuals will never leave certain states. We apply the approach to analyze patient vaccination data from a stepped wedge design trial evaluating two interventions to increase uptake of human papillomavirus vaccination. The states are defined as the number of vaccine doses the patient has received. We model state transitions as a semi-Markov process and include cure proportions to account for individuals who will never leave a given state (e.g. never receive their next dose). Multistate models typically quantify intervention effects as hazard ratios contrasting the intensities of transitions between states in intervention versus control conditions. For multistate processes, another clinically meaningful outcome is the change in the percentage of the study population that has achieved a specific state (e.g. completion of all required doses) by a specific point in time due to an intervention. We present a method for quantifying intervention effects in this manner. We apply the model to both simulated and real-world data and also explore some conditions under which such models may give biased results.

Creating a Statistical Analysis Plan to Continually Evaluate Intervention Adaptations that Arise in Real-World Implementation.

Evidence-based health interventions are frequently translated into real-world settings where practical needs drive changes to intervention protocols. Due to logistical and resource constraints, these naturally arising adaptations are rarely assessed for comparative effectiveness using a randomized trial. Nevertheless, when observational data are available, it is still possible to identify beneficial adaptations using statistical methods that adjust for differences among intervention groups. As implementation continues and more data are collected and assessed, we also require analysis methods that ensure low statistical error rates as multiple comparisons are made over time. This paper describes how to create a statistical analysis plan for evaluating adaptations to an intervention during ongoing implementation. This can be done by combining methods commonly used in platform clinical trials with methods used for real-world data. We also demonstrate how to use simulations based on previous data to decide the frequency with which to conduct statistical analyses. The illustration uses data from large-scale implementation of a school-based resilience and skill-building preventive intervention to which several adaptations were made. The proposed statistical analysis plan for evaluating the school-based intervention has potential to improve population-level outcomes as implementation scales up further and additional adaptations are anticipated.

Evaluating the KidCOPE for Children in Active Duty Military Families.

The KidCOPE is a widely used measure designed to examine how children cope in the face of stressful events. The current study aimed to replicate the factor structure of the KidCOPE found in four prior studies. KidCOPE responses from children of military families (2256 children, ages 7-12 years, 47.9% female, Age M = 8.90, SD = 1.62) enrolled in the Families OverComing Under Stress (FOCUS) at baseline were used. No prior factor structure could be replicated. The sample was then split, and exploratory and confirmatory factor analyses were conducted. A 2-factor model including factors for generally positive and negative coping was identified; but not confirmed. Overall, this study supports prior research suggesting limitations of the KidCOPE as a valid measure of coping style.

The role of resilience and gender: Understanding the relationship between risk for traumatic stress, resilience, and academic outcomes among minoritized youth.

OBJECTIVE: Minoritized students experience high trauma rates which can impact academic outcomes, and experiences may differ between males and females. We investigated the relationship between traumatic stress and academic outcomes by gender among predominantly minoritized students, and whether resilience-building assets can mediate the relationship between traumatic stress and academic outcomes. METHOD: School administrative data were linked to survey data from 9th graders in 2016-2018 across 37 West Coast schools. We examined the association between traumatic stress risk and academic outcomes by gender. Where significant associations were found, mixed effects regression models accounting for school-level variation were fit to assess the role of resilience-building assets as potential mediators of the relationship between traumatic stress risk and academic outcomes. RESULTS: Among 1,750 female and 2,036 male students, we found no significant association between traumatic stress risk and low attendance (<96% days attended). The odds of low grade point average (GPA <2.0) were significantly higher among female students with traumatic stress risk (OR = 1.46, 95% CI [1.16, 1.84]), with no association among males. In models controlling for resilience-building assets, the magnitude of the association between traumatic stress risk and GPA <2.0 among females was reduced. We identified significant mediation for 3 resilience measures: self-efficacy (21.20%; p < .05), school support (18.97%; p < .05), and total internal assets (27.84%; p < .01). CONCLUSIONS: Resilience-building assets may partially mediate the effect of traumatic stress on GPA among females. Resilience initiatives, especially among minoritized female students, may protect against the effect of trauma on academics. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Non-pharmaceutical interventions and covid-19 burden in the United States: retrospective, observational cohort study.

Objective: To evaluate the adoption and discontinuation of four broadly used non-pharmaceutical interventions on shifts in the covid-19 burden among US states. Design: Retrospective, observational cohort study. Setting: US state data on covid-19 between 19 January 2020 and 7 March 2021. Participants: US population with a diagnosis of covid-19. Main outcome measures: Empirically derived breakpoints in case and mortality velocities (ie, rate of change) were used to identify periods of stable, decreasing, or increasing covid-19 burden. Associations between adoption of non-pharmaceutical interventions and subsequent decreases in case or death rates were estimated by use of generalised linear models accounting for weekly variability across US states. State level case and mortality counts per day were obtained from the Covid-19 Tracking Project. State level policies on non-pharmaceutical interventions included stay-at-home orders, indoor public gathering bans (mild >10 or severe ≤10 people), indoor restaurant dining bans, and public mask mandates. National policies were not included in statistical models. Results: 28 602 830 cases and 511 899 deaths were recorded during the study. Odds of a reduction in covid-19 case velocity increased for stay-at-home orders (odds ratio 2.02, 95% confidence interval 1.63 to 2.52), indoor dining bans (1.62, 1.25 to 2.10), public mask mandates (2.18, 1.47 to 3.23), and severe indoor public gathering bans (1.68, 1.31 to 2.16) in univariate analysis. In mutually adjusted models, odds remained elevated for orders to stay at home (adjusted odds ratio 1.47, 95% confidence interval 1.04 to 2.07) and public mask mandates (2.27, 1.51 to 3.41). Stay-at-home orders (odds ratio 2.00, 95% confidence interval 1.53 to 2.62; adjusted odds ratio 1.89, 95% confidence interval 1.25 to 2.87) was also associated with a greater likelihood of decrease in death velocity in unadjusted and adjusted models. Conclusions: State level non-pharmaceutical interventions used in the US during the covid-19 pandemic, in particular stay-at-home orders, were associated with a decreased covid-19 burden.

A Trauma-Informed, Family-Centered, Virtual Home Visiting Program for Young Children: One-Year Outcomes.

Military-connected families face many challenges associated with military life transitions, including deployment separations. We report on a randomized controlled trial to evaluate the efficacy of Families OverComing Under Stress-Early Childhood (FOCUS-EC) delivered through an in-home, virtual telehealth platform. FOCUS-EC is a trauma-informed, family-centered preventive intervention designed to promote family resilience and well-being. Military-connected families with 3- to 6-year-old children (194 mothers; 155 fathers; 199 children) were randomized to FOCUS-EC or an online education condition. Parent psychological health symptoms, child behavior, parenting, and parent-child relationships were examined by parent-report and observed interaction tasks for up to 12 months. Longitudinal regression models indicated that FOCUS-EC families demonstrated significantly greater improvements than online education families in parent-reported and observational measures of child behavior, parenting practices, and parent-child interaction, as well as greater reductions in parent posttraumatic stress symptoms. Findings provide support for the benefit of a virtually-delivered preventive intervention for military-connected families.

Non-Pharmaceutical Interventions and COVID-19 Burden in the United States.

BACKGROUND: Non-pharmaceutical interventions (NPIs) are mitigation strategies used to reduce the spread of transmissible diseases. The relative effectiveness of specific NPIs remains uncertain. METHODS: We used state-level Coronavirus disease 2019 (COVID-19) case and mortality data between January 19, 2020 and March 7, 2021 to model NPI policy effectiveness. Empirically derived breakpoints in case and mortality velocities were used to identify periods of stable, decreasing, or increasing COVID-19 burden. The associations between NPI adoption and subsequent decreases in case or death velocities were estimated using generalized linear models accounting for weekly variability shared across states. State-level NPI policies included: stay at home order, indoor public gathering ban (mild >10 or severe ≤10), indoor restaurant dining ban, and public mask mandate. RESULTS: 28,602,830 cases and 511,899 deaths were recorded. The odds of a decrease in COVID-19 case velocity were significantly elevated for stay at home (OR 2.02, 95% CI 1.63-2.52), indoor dining ban (OR 1.62, 95% CI 1.25-2.10), public mask mandate (OR 2.18, 95% CI 1.47-3.23), and severe gathering ban (OR 1.68, 95% CI 1.31-2.16). In mutually adjusted models, odds remained elevated for stay at home (AOR 1.47, 95% CI 1.04-2.07) and public mask mandate (AOR = 2.27, 95% CI 1.51-3.41). Stay at home (OR 2.00, 95% CI 1.53-2.62; AOR 1.89, 95% CI 1.25-2.87) was also associated with greater likelihood of decrease in death velocity in unadjusted and adjusted models. CONCLUSIONS: NPIs employed in the U.S. during the COVID-19 pandemic, most significantly stay at home orders, were associated with decreased COVID-19 burden.

Factors associated with response and remission from depression at 6-months of treatment in a retrospective cohort treated within an integrated care program.

BACKGROUND: Depression causes significant morbidity, which impacts mental health, overall general health outcomes, everyday functioning and quality of life. This study aims to contribute to knowledge in the field through enhanced understanding of factors that influence depression response and remission, with consideration for design of treatment services to optimize depression outcomes within integrated care programs. METHODS: Using routine behavioral health screening and electronic health record data, we identified a retrospective cohort consisting of 615 adult patients receiving depression treatment within an integrated care program. Cohort member Patient Health Questionnaire (PHQ-9) data was analyzed for the 6 months following initiation of treatment. Multinomial regression models were estimated to identify factors associated with depression treatment response (PHQ-9 < 10) and remission (PHQ-9 < 5). RESULTS: At 6 months, 47% of patients demonstrated treatment response and 16% demonstrated remission. Baseline trauma symptoms and suicidal ideation were significantly associated with decreased odds of achieving remission (Odds Ratio (95% CI) [OR] = 0.45 (0.23, 0.88) and OR = 0.49 (0.29, 0.82), respectively). In fully adjusted models, baseline suicidal ideation remained significant (OR = 0.53 (0.31, 0.89)) and some evidence of an association persisted for baseline trauma symptoms (OR = 0.51 (0.25, 1.01)). CONCLUSIONS: After controlling for baseline depression symptoms, the presence of suicidal ideation is associated with reduced likelihood of remission. Increased understanding of factors associated with depression treatment outcomes may be employed to help guide the delivery and design of clinical services. Alongside routine screening for co-morbid anxiety, suicidal ideation and traumatic stress should be assessed and considered when designing depression treatment services.

Implementing a School-Based, Trauma-Informed Resilience Curriculum for Parents.

"Families OverComing Under Stress" (FOCUS) Resilience Curriculum for Parents (FRC-P) is a trauma-informed group parenting program adapted for school social workers to deliver to parents of racial/ethnic minority urban public schoolchildren, an under-researched group of parents in the literature. The objective was to describe implementation of the pilot FRC-P in terms of possible effectiveness, feasibility, and acceptability. Social workers delivered FRC-P to parents at 16 schools. We analyzed (1) changes in parent well-being; (2) parent satisfaction; and (3) a focus group of participating social workers. Ninety-six of 261 parents (37%) who attended FRC-P completed pre and post surveys. Parents reported significant improvements (p < .01) in family functioning (Cohen's d = 0.41), parent connectedness (d = 0.71), and social support (d = 0.66). Social workers linked parents to needed services. Parents and social workers found FRC-P feasible and acceptable. With refinement, FRC-P could help schools foster resilience in under-resourced parents.

Maternal Prenatal Smoking and Autism Spectrum Disorder in Offspring: A California Statewide Cohort and Sibling Study.

We examined associations between maternal smoking and autism spectrum disorder (ASD) in children in a statewide population-based cohort and sibling-comparison design using California birth records (n = 2,015,104) with information on maternal smoking, demographic factors, and pregnancy (2007-2010). ASD cases (n = 11,722) were identified through California Department of Developmental Services records with diagnoses based on the Diagnostic and Statistical Manual of Mental Disorders-IV-TR. We estimated odds ratios for ASD with and without intellectual disability in the full cohort using logistic regression and in a sibling comparison using conditional logistic regression. In the full cohort, the adjusted odds ratio for ASD and maternal smoking 3 months before/during pregnancy compared with nonsmoking was 1.15 (95% confidence interval (CI): 1.04, 1.26), and it was similar in cases with (odds ratio = 1.12, 95% CI: 0.84, 1.49) and without intellectual disability (odds ratio = 1.15, 95% CI: 1.04, 1.27). Heavy prenatal smoking (≥20 cigarettes/day in any trimester) was related to an odds ratio of 1.55 (95% CI: 1.21, 1.98). In the sibling comparison, the odds ratio for heavy smoking was similarly elevated but the confidence interval was wide. Our findings are consistent with an increased risk for ASD in offspring of mothers who smoked ≥20 cigarettes/day during pregnancy; associations with lighter smoking were weaker.

Parental Wartime Deployment and Socioemotional Adjustment in Early Childhood: The Critical Role of Military Parents' Perceived Threat During Deployment.

Infants, toddlers, and preschool-aged children have unique developmental needs that render them vulnerable to challenges associated with parental military service. We used a sample of military-connected families with 3-6-year-old children (N = 104) to examine associations among children's socioemotional development and fathers' trauma-related deployment experiences, including perceived threat during deployment and exposure to combat and the aftermath of battle. Of these potential stressors, only paternal perceived threat during deployment was significantly associated with measures of mother-reported child adjustment. Fathers' perceived threat during deployment was associated with child behavior problems even after accounting for demographic variables and current paternal symptoms of posttraumatic stress, depression, and anxiety, ß = .36, p = .007. The association between fathers' perceived threat during deployment and child behavior problems was mediated by several family processes related to emotion socialization, including father-reported sensitive parenting, indirect effect (IE) B = 0.106, 95% CI [0.009, 0.236]; parent-child dysfunctional interaction, IE B = 0.119, 95% CI [0.014, 0.252]; and mother-reported family emotional responsiveness, IE B = 0.119, 95% CI [0.011, 0.258]. Implications for future research on the intergenerational transmission of traumatic stress as well as prevention and intervention efforts for military-connected families with young children are discussed.

Education Research: Evaluation of curriculum to teach resilience skills to neurology residents.

OBJECTIVE: To evaluate feasibility and acceptability of a health professional resilience skills training program with neurology residents. METHODS: The curriculum consists of five 1-hour-long modules that included the following skills: reflective narrative practices, emotion regulation, communication with highly distressed individuals, boundary management, and the identification of depression and trauma. Using a web-based survey tool, we administered the Brief Resilience Scale (BRS) and Abbreviated Maslach Burnout Inventory (aMBI) at baseline, in addition to a pre- and post-survey assessing change in beliefs and self-efficacy, as well as satisfaction with the intervention. Means were compared using the Wilcoxon rank-sum and signed rank tests. RESULTS: Twenty-two residents representing each year of training completed the pre-survey; 41% were women. Subscale scores on the aMBI revealed that 50% had moderate or high emotional exhaustion, 41% had moderate depersonalization, and 37% had moderate or low personal accomplishment, though 77.3% reported high career satisfaction. Female residents had lower scores on the BRS (mean 3.26 vs 3.88, p < 0.05), though scores on aMBI subscales did not differ by sex. Scores did not differ by year of training. Sixteen residents completed both the pre- and post-survey. Significant increases were detected in 4 of 9 self-efficacy statements. Seventy-one percent of residents were satisfied or extremely satisfied with the training. CONCLUSIONS: Residents were satisfied with the curriculum and reported improved ability to identify and cope with work-related stress. Further study is needed to evaluate the influence of skills adoption and practice on resilience and burnout.

A stochastic estimation procedure for intermittently-observed semi-Markov multistate models with back transitions.

Multistate models provide an important method for analyzing a wide range of life history processes including disease progression and patient recovery following medical intervention. Panel data consisting of the states occupied by an individual at a series of discrete time points are often used to estimate transition intensities of the underlying continuous-time process. When transition intensities depend on the time elapsed in the current state and back transitions between states are possible, this intermittent observation process presents difficulties in estimation due to intractability of the likelihood function. In this manuscript, we present an iterative stochastic expectation-maximization algorithm that relies on a simulation-based approximation to the likelihood function and implement this algorithm using rejection sampling. In a simulation study, we demonstrate the feasibility and performance of the proposed procedure. We then demonstrate application of the algorithm to a study of dementia, the Nun Study, consisting of intermittently-observed elderly subjects in one of four possible states corresponding to intact cognition, impaired cognition, dementia, and death. We show that the proposed stochastic expectation-maximization algorithm substantially reduces bias in model parameter estimates compared to an alternative approach used in the literature, minimal path estimation. We conclude that in estimating intermittently observed semi-Markov models, the proposed approach is a computationally feasible and accurate estimation procedure that leads to substantial improvements in back transition estimates.