Pre-surgical factors related to latent trajectories of 5-year weight loss for a diverse bariatric surgery population.

BACKGROUND: Analyzing trajectories of weight loss may address how particular groups of patients respond to metabolic and bariatric surgery. OBJECTIVES: The Bariatric Experience Long Term (BELONG) study was designed to use a theoretical model to examine determinants of weight loss and recurrence. SETTING: Large integrated health system in Southern California with 11 surgical practices and 23 surgeons. METHODS: A total of n = 1338 patients who had metabolic and bariatric surgery were surveyed before surgery to measure factors related to median percent total weight loss (%TWL) over 5 years. Longitudinal weight data were available for n = 1024 (76.5% of the sample). Data were analyzed using latent growth mixture models (GMM) to estimate trajectories of weight change separately for gastric sleeve and bypass operations. These trajectories were then described using relevant variables from the baseline survey. RESULTS: For both gastric sleeve (n = 733) and bypass (n = 291) operations, 3 latent trajectories of median %TWL were found corresponding to most, moderate, and least %TWL. Sleeve trajectories were distinguished by body mass index at surgery and geocoded environmental factors. Bypass trajectories varied by self-reported and geocoded environmental factors, comorbidity burden, race, experiential avoidance, and weight control strategies. CONCLUSIONS: Future research should examine the role of the built and perceived environment in surgical weight loss. Bariatric practices should focus less on the presurgical period for predictors of long-term weight loss and begin efforts to monitor real-time patient-reported outcomes to help tailor intervention strategies for patients who either do not lose an expected amount of weight or who begin to experience weight recurrence.

Patient Perspectives on Mental Health and Pain Management Support Needed Versus Received During Opioid Deprescribing.

Prescription opioid tapering has increased significantly over the last decade. Evidence suggests that tapering too quickly or without appropriate support may unintentionally harm patients. The aim of this analysis was to understand patients' experiences with opioid tapering, including support received or not received for pain control or mental health. Patients with evidence of opioid tapering from 6 health care systems participated in semi-structured, in-depth interviews; family members of suicide decedents with evidence of opioid tapering were also interviewed. Interviews were analyzed using thematic analysis. Participants included 176 patients and 16 family members. Results showed that 24% of the participants felt their clinicians checked in with them about their taper experiences while 41% reported their clinicians did not. A majority (68%) of individuals who experienced suicide behavior during tapering reported that clinicians did check in about mood and mental health changes specifically; however, 27% of that group reported no such check-in. More individuals reported negative experiences (than positive) with pain management clinics-where patients are often referred for tapering and pain management support. Patients reporting successful tapering experiences named shared decision-making and ability to adjust taper speed or pause tapering as helpful components of care. Fifty-six percent of patients reported needing more support during tapering, including more empathy and compassion (48%) and an individualized approach to tapering (41%). Patient-centered approaches to tapering include reaching out to monitor how patients are doing, involving patients in decision-making, supporting mental health changes, and allowing for flexibility in the tapering pace. PERSPECTIVE: Patients tapering prescription opioids desire more provider-initiated communication including checking in about pain, setting expectations for withdrawal and mental health-related changes, and providing support for mental health. Patients preferred opportunities to share decisions about taper speed and to have flexibility with pausing the taper as needed.

Adverse childhood experiences screening in healthcare settings: A focus on pediatric primary care.

BACKGROUND: Adverse Childhood Experiences (ACEs) screening in healthcare settings is emerging as one of the tangible responses to address the consistent evidence linking ACEs with health. Kaiser Permanente Southern California (KPSC) began ACEs screening in pediatric primary care in 2018 and has developed screening and referral processes based on continued feedback from stakeholders as well as data driven assessment. OBJECTIVE: We give an overview of the state of ACEs screening in pediatric healthcare settings, challenges facing pediatric providers, and suggestions to address them. We then describe the development of our ACEs screening and referral process within KPSC as an example of how a large healthcare system has implemented and adapted ACEs screening from pilot testing, to phased expansion, to complete implementation. PARTICIPANTS AND SETTING: Children aged 2-18 years old who were members of KPSC 2018-2023. RESULTS: We present data on the tailored screening and referral workflows we have developed, rates of positive screens and referrals, and how the initiation of ACEs screening may affect the rates of visit to behavioral health as a treatment option. We also integrate qualitative data to demonstrate the perspective of parents, with the goal of understanding what might help or hinder receipt of behavioral health treatment after ACEs screening. CONCLUSIONS: We close with future directions for ACEs screening in healthcare settings and considerations for pediatric healthcare providers who may want to begin ACEs screening or adapt their screening and referral processes.

Implementation and Evaluation of Adverse Childhood Experiences Screening in Pediatrics and Obstetrics Settings.

BACKGROUND: Screening for adverse childhood experiences (ACEs) in prenatal and pediatric populations is recommended by the California ACEs Aware initiative and is a promising practice to interrupt ACEs in children and mitigate ACEs-related health complications in children and families. Yet, integrating ACEs screening into clinical practice poses several challenges. OBJECTIVE: The objective of this report was to evaluate the Kaiser Permanente Northern California and Kaiser Permanente Southern California pilots and implementation of ACEs screening into routine prenatal (Kaiser Permanente Northern California) and pediatric (Kaiser Permanente Southern California) care. MATERIALS AND METHODS: These pilots were evaluated and compared to identify common challenges to implementation and offer promising practices for negotiating these challenges. Evaluation methods included feedback from staff, clinicians, and patients, as well as comparisons of methods to overcome various barriers to screening implementation. RESULTS: Implementing ACEs screening, like implementation of any new component of clinical care, takes careful planning, education, creation of content and workflows, and continuous integration of feedback from both patients and staff. CONCLUSION: This evaluation can serve as support for care teams who are considering implementing ACEs screening or who are already screening for ACEs. More research is needed regarding the relationship between ACEs and preventable and treatable health outcomes to improve health for patients and their families.

Impact of Opioid Dose Reductions on Patient-Reported Mental Health and Suicide-Related Behavior and Relationship to Patient Choice in Tapering Decisions.

Mental health and suicide-related harms resulting from prescription opioid tapering are poorly documented and understood. Six health systems contributed opioid prescribing data from January 2016 to April 2020. Patients 18 to 70 years old with evidence of opioid tapering participated in semi-structured interviews. Individuals who experienced suicide attempts were oversampled. Family members of suicide decedents who had experienced opioid tapering were also interviewed. Interviews were analyzed using thematic analysis. The study participants included 176 patients and 16 family members. Patients were 68% female, 80% White, and 15% Hispanic, mean age 58. All family members were female spouses of White, non-Hispanic male decedents. Among the subgroup (n = 60) who experienced a documented suicide attempt, reported experiencing suicidal ideation during tapering, or were family members of suicide decedents, 40% reported that opioid tapering exacerbated previously recognized mental health issues, and 25% reported that tapering triggered new-onset mental health concerns. Among participants with suicide behavior, 47% directly attributed it to opioid tapering. Common precipitants included increased pain, reduced life engagement, sleep problems, withdrawal, relationship dissolution, and negative consequences of opioid substitution with other substances for pain relief. Most respondents reporting suicide behavior felt that the decision to taper was made by the health care system or a clinician (67%) whereas patients not reporting suicide behavior were more likely to report it was their own decision (42%). This study describes patient-reported mental health deterioration or suicide behavior while tapering prescription opioids. Clinicians should screen for, monitor, and treat suicide behavior while assisting patients in tapering opioids. PERSPECTIVE: This work describes changes in patient-reported mental health and suicide behavior while tapering prescription opioids. Recommendations for improving care include mental health and suicide risk screening during and following opioid tapering.

Types of diabetes during pregnancy and risk of depression and anxiety in offspring from childhood to young adulthood.

AIMS: To assess maternal pre-existing type 1 diabetes (T1D), type 2 diabetes (T2D), gestational diabetes mellitus (GDM) during pregnancy and risk of depression and anxiety from childhood to young adulthood in offspring. MATERIALS AND METHODS: This birth cohort included singletons born during 1995-2015, followed using electronic medical records through 2020. Cox regression was used to estimate hazard ratio (HR) of depression or anxiety diagnosis during follow-up associated with in-utero exposure to maternal diabetes. RESULTS: Among 439 590 offspring, 29 891 (6.8%) had depression and 51 918 (11.8%) had anxiety. T1D, followed by T2D and GDM requiring antidiabetes medication were associated with risk of depression and anxiety in offspring. Compared with no diabetes during pregnancy, the adjusted HRs (95% confidence interval) of depression in offspring associated with T1D, T2D or GDM requiring medications were 1.44 (1.09-1.91), 1.30 (1.15-1.47) and 1.18 (1.11-1.26) respectively; conversely, HRs were 0.97 (0.82-1.15) for T2D and 0.99 (0.94-1.04) for GDM without medications. The associations with anxiety followed similar patterns. The significant associations were observed for offspring ages 5-12 and >12-18 years and attenuated for 18-25 years. CONCLUSION: These data suggest that the severity of diabetes (T1D vs. T2D requiring medications vs. GDM requiring medications) during pregnancy may increase the vulnerability of offspring for depression or anxiety.

Maltreatment type differences in cortisol stress response trajectories across adolescence.

This study examined cortisol stress response trajectories across adolescence in 454 maltreated and comparison youth recruited from Los Angeles County between 2002 and 2005 (66.7% maltreated; 46.7% girls; 39.0% Latino; 37.7% Black; 12.3% Mixed or Biracial; 11.0% White; Mage = 10.9 years, SD = 1.2). Adolescents' peak activation and cortisol reactivity and recovery slopes following the Trier Social Stress Test for Children were calculated at four waves, then used to model peak activation and cortisol reactivity and recovery trajectories arrayed by age. Maltreated youth had blunted cortisol reactivity at age 9 relative to comparison youth (b = -.19, p = .02). Sexually and physically abused youth showed blunted cortisol reactivity and recovery trajectories relative to emotionally abused and neglected youth.

Trends in firearm injury in a southern California health care system from 2010 to 2020.

BACKGROUND: Firearm injury is a significant public health concern in the United States. METHODS: Data on fatal and nonfatal firearm injuries were obtained from a cohort of N = 7,473,650 members of Kaiser Permanente Southern California, a large integrated healthcare system between 2010 and 2020. Age-adjusted rates of combined fatal and nonfatal firearm injury per 100,000 members were calculated by year, with the 2010 US census as the reference population. Trends were evaluated using Poisson or negative binomial regression. RESULTS: There was an increasing trend in overall firearm injuries between 2010 and 2020 among adults in this large integrated healthcare system (p < .0001), primarily driven by non-self-inflicted firearm injuries (p < .0001). Self-inflicted injuries decreased during this time (p = .01). Injuries among youth showed no significant change. CONCLUSION: There was an increasing trend in firearm injuries between 2010 and 2020 among adults in this large integrated healthcare system, primarily driven by non-self-inflicted firearm injuries; however, self-inflicted injuries decreased during this time. Injuries among youth showed no significant change.

Prenatal Exposure to Gestational Diabetes Mellitus is Associated with Mental Health Outcomes and Physical Activity has a Modifying Role.

Background: Studies suggest a link between prenatal gestational diabetes mellitus (GDM) exposure and poor mental health outcomes. We examined associations between prenatal GDM exposure and depressive and anxiety symptoms in children and assessed physical activity as a potential modifier of these associations. Method: Seventy children (AgeM(SD): 12(2.0), 56% GDM, 59% female) and their parents completed surveys: Center for Epidemiological Studies Depression Scale for Children (CES-DC), State-Trait Anxiety Inventory for Children (STAIC), Child Behavior Checklist (CBCL), and 3-day physical activity recall (3DPAR). Associations between mental health measures with GDM exposure and interactions between GDM exposure and child moderate-to-vigorous physical activity (MVPA) were assessed using regression. Results: GDM-exposed children had higher anxiety (p = 0.03) and internalizing symptoms (CBCL) (p = 0.04) than unexposed children. There was an interaction between GDM exposure and child MVPA on anxiety (p = 0.02), internalizing (p = 0.04) and externalizing symptoms (p = 0.004). In the low MVPA group, GDM exposed children had more depressive (p = 0.03), anxiety (p = 0.003), and internalizing symptoms (p = 0.03) than unexposed children. In the high MVPA group, there were no group differences except with externalizing symptoms (p = 0.04). Conclusion: Prenatal GDM is associated with higher anxiety and internalizing symptoms in children. Child MVPA modified the relationship between GDM exposure and mental health outcomes suggesting that physical activity during childhood could mitigate the negative mental health outcomes associated with prenatal GDM exposure.

Baseline Psychosocial, Environmental, Health, and Behavioral Correlates of 1- and 3-Year Weight Loss After Bariatric Surgery.

PURPOSE: Weight loss surgery is an effective, long-term treatment for severe obesity but individual response to surgery varies widely. The purpose of this study was to test a comprehensive theoretical model of factors that may be correlated with the greatest surgical weight loss at 1-3 years following surgery. Such a model would help determine what predictive factors to measure when patients are preparing for surgery that may ensure the best weight outcomes. MATERIALS AND METHODS: The Bariatric Experience Long Term (BELONG) study collected self-reported and medical record-based baseline information as correlates of 1- and 3-year % total weight loss (TWL) in n = 1341 patients. Multiple linear regression was used to determine the associations between 120 baseline variables and %TWL. RESULTS: Participants were 43.4 ± 11.3 years old, Hispanic or Black (52%; n = 699), women (86%; n = 1149), and partnered (72%; n = 965) and had annual incomes of ≥ $51,000 (60%; n = 803). A total of 1006 (75%) had 3-year follow-up weight. Regression models accounted for 10.1% of the variance in %TWL at 1-year and 13.6% at 3 years. Only bariatric operation accounted for a clinically meaningful difference (~ 5%) in %TWL at 1-year. At 3 years after surgery, only bariatric operation, Black race, and BMI ≥ 50 kg/m2 were associated with clinically meaningful differences in %TWL. CONCLUSIONS: Our findings combined with many others support a move away from extensive screening and selection of patients at the time of surgery to a focus on improving access to this treatment.

Using natural language processing to identify child maltreatment in health systems.

BACKGROUND: Rates of child maltreatment (CM) obtained from electronic health records are much lower than national child welfare prevalence rates indicate. There is a need to understand how CM is documented to improve reporting and surveillance. OBJECTIVES: To examine whether using natural language processing (NLP) in outpatient chart notes can identify cases of CM not documented by ICD diagnosis code, the overlap between the coding of child maltreatment by ICD and NLP, and any differences by age, gender, or race/ethnicity. METHODS: Outpatient chart notes of children age 0-18 years old within Kaiser Permanente Washington (KPWA) 2018-2020 were used to examine a selected set of maltreatment-related terms categorized into concept unique identifiers (CUI). Manual review of text snippets for each CUI was completed to flag for validated cases and retrain the NLP algorithm. RESULTS: The NLP results indicated a crude rate of 1.55 % to 2.36 % (2018-2020) of notes with reference to CM. The rate of CM identified by ICD code was 3.32 per 1000 children, whereas the rate identified by NLP was 37.38 per 1000 children. The groups that increased the most in identification of maltreatment from ICD to NLP were adolescents (13-18 yrs. old), females, Native American children, and those on Medicaid. Of note, all subgroups had substantially higher rates of maltreatment when using NLP. CONCLUSIONS: Use of NLP substantially increased the estimated number of children who have been impacted by CM. Accurately capturing this population will improve identification of vulnerable youth at high risk for mental health symptoms.

Associations between HPA axis reactivity and PTSD and depressive symptoms: Importance of maltreatment type and puberty.

The functioning of the hypothalamic-pituitary-adrenal (HPA) axis is implicated in the etiology and maintenance of depressive and posttraumatic stress disorder (PTSD) symptoms. However, different maltreatment experiences as well as the increased sensitivity of the HPA axis during puberty may alter associations between the HPA axis and mental health. To address these gaps, the current study examined the potential bidirectional associations between cortisol reactivity to a stressor, PTSD symptoms, and depressive symptoms among early adolescents across two time points, 1 year apart (n = 454; Mage = 10.98 at Time 1 and Mage = 12.11 at Time 2). Multiple-group path models tested the pathways between cortiol reactivity and mental health prior to and during puberty, for different types of maltreatment . Overall, the results showed that associations between cortisol output and symptoms of PTSD and depression were driven by those in the midst of puberty. Specifically, higher cortisol output at Time 1 was linked with higher levels of subsequent PTSD and depressive symptoms for neglected youth who had reached puberty. However, depressive symptoms predicted subsequent lower cortisol output for the physical abuse and emotional abuse groups. These findings demonstrate longitudinal links between cortisol, depressive symptoms, and PTSD symptoms among youth with different types of maltreatment histories and highlight the need to consider the reorganization of the stress system during puberty in order to advance our understanding of the HPA axis and mental health.

Factors Associated With Firearm Injury Among Pediatric Members of a Large Integrated Healthcare System.

BACKGROUND AND OBJECTIVES: Few studies have tested multiple socio-ecological risk factors assocated with firearm injury among pediatric populations and distinguished self-inflicted from non-self-inflicted injury. To address this gap, the current study examined demographic, individual psychosocial, and neighborhood variables as risk factors for firearm injury among a large cohort of children and adolescents. METHODS: Retrospective cohort study. Data were obtained from the electronic health records of a large integrated healthcare system. The cohort included children <18 years with at least one clinical encounter between January 1, 2010 and December 31, 2018. Poisson regression was used to examine demographic (age, gender, race and ethnicity, Medicaid status), psychosocial (depression, substance use disorder, medical comorbidities), and neighborhood education variables as potential risk factors for non-self-inflicted and self-inflicted firearm injuries. RESULTS: For non-self-inflicted injury, the highest relative risk was found for children age 12-17 years old compared to 0-5 year olds (RR = 37.57); other risk factors included male gender, Black and Hispanic race and ethnicity (compared to White race), being a Medicaid recipient, lower neighborhood education, and substance use disorder diagnosis. For self-inflicted injury, only age 12-17 years old and male gender were associated with increased risk. CONCLUSIONS: These results reinforce the established higher risk for firearm injury among adolescent males, highlight differences between self-inflicted and non-self-inflicted injuries, and the need to consider demographic, psychosocial, and neighborhood variables as risk factors to inform interventions aimed to reduce firearm injuries among children and adolescents.

Assessment of Screening for Adverse Childhood Experiences and Receipt of Behavioral Health Services Among Children and Adolescents.

Importance: Screening for adverse childhood experiences (ACEs) in primary care settings has been increasing as a response to the overwhelming and consistent evidence of the deleterious associations between ACEs and later physical and mental health. However, there is little empirical guidance on the appropriate implementation of ACEs screening in pediatric primary care. Objective: To test the use of a pilot intervention for ACEs screening and referral on the receipt of behavioral health care for children and adolescents within a large integrated health care delivery system. Design, Setting, and Participants: A retrospective cohort study was conducted in a large integrated health care system serving Southern California. Child and adolescent members of the target health care system younger than 18 years between July 1, 2018, and November 30, 2021, who received a positive screening for ACEs at the pilot clinic were included. This pilot clinic implemented an intervention that included additional screening questions and incorporated social workers into the process of evaluation and referral for behavioral health needs following ACEs screening. Exposures: ACEs screening. Main Outcomes and Measures: Visit to a behavioral health care service within 90 days of a positive ACEs screen determined as a score of 1 or higher and behavioral symptoms. Results: The cohort consisted of 4030 children (mean [SD] age, 9.94 [4.55] years) with positive ACEs screening, 48% adolescents (11-17.99 years), approximately equal gender (51% females), 73% Hispanic, and 33% with Medicaid insurance. After the intervention, children were more likely to have a behavioral health services visit within 90 days of the screening than before the intervention (from 4.33% to 32.48%; incidence rate ratio, 7.50; 95% CI, 1.55-36.2). Conclusions and Relevance: In this cohort study, the implementation of a new ACEs screening and referral process was associated with increased receipt of behavioral health services among children with a positive ACEs screening. This could be useful strategy for other health care systems responding to state and local mandates to screen and provide care for children with ACEs.

Opioid-related variables did not improve suicide risk prediction models in samples with mental health diagnoses.

Background: Suicide risk prediction models derived from machine learning of electronic health records and insurance claims are an innovation in suicide prevention. Some models do not include opioid-related variables despite the relationship between opioids and suicide. This study evaluated whether inclusion of opioid-related variables improved suicide risk prediction models developed by the Mental Health Research Network. Methods: Approximately 630 opioid-related variables and interactions terms were introduced into existing suicide prediction models run in datasets of patient visits in mental health care (n = 27,755,401 visits) or primary care when a mental health diagnosis was given (n = 19,340,461 visits). Training and validation datasets were created. LASSO regression with 10-fold validation identified variables to be added to the models. Results: The new models predicting suicide attempts and suicide deaths in the mental health specialty visit sample performed as well as the existing models (new C-statistic for attempts model = 0.855, CI: 0.853-0.857 versus original C-statistic = 0.851, CI 0.848-0.853; death model = 0.868, CI: 0.856-0.879 versus 0.861, CI 0.848-0.875). The new model for suicide death in the primary care sample improved (0.855, CI: 0.837-0.874 versus 0.833, CI 0.813-0.853) while performance of the new model for suicide attempt in that sample degraded (0.843, CI: 0.839-0.847 versus 0.853, CI 0.849-0.857). Limitations: Analyses did not include patients without recent care, data did not include illicit opioid use or unrecognized opioid use disorder. Conclusions: Among patients with mental health diagnoses, inclusion of opioid-related variables did not improve prediction of suicide risk beyond mental health predictors.

Using machine learning to determine the shared and unique risk factors for marijuana use among child-welfare versus community adolescents.

OBJECTIVE: This study used machine learning (ML) to test an empirically derived set of risk factors for marijuana use. Models were built separately for child welfare (CW) and non-CW adolescents in order to compare the variables selected as important features/risk factors. METHOD: Data were from a Time 4 (Mage = 18.22) of longitudinal study of the effects of maltreatment on adolescent development (n = 350; CW = 222; non-CW = 128; 56%male). Marijuana use in the past 12 months (none versus any) was obtained from a single item self-report. Risk factors entered into the model included mental health, parent/family social support, peer risk behavior, self-reported risk behavior, self-esteem, and self-reported adversities (e.g., abuse, neglect, witnessing family violence or community violence). RESULTS: The ML approaches indicated 80% accuracy in predicting marijuana use in the CW group and 85% accuracy in the non-CW group. In addition, the top features differed for the CW and non-CW groups with peer marijuana use emerging as the most important risk factor for CW youth, whereas externalizing behavior was the most important for the non-CW group. The most important common risk factor between group was gender, with males having higher risk. CONCLUSIONS: This is the first study to examine the shared and unique risk factors for marijuana use for CW and non-CW youth using a machine learning approach. The results support our assertion that there may be similar risk factors for both groups, but there are also risks unique to each population. Therefore, risk factors derived from normative populations may not have the same importance when used for CW youth. These differences should be considered in clinical practice when assessing risk for substance use among adolescents.

Incidence of child maltreatment diagnosis in electronic health records of a large integrated healthcare system: 2001-2018.

The purpose of this study was to identify the number of children (<18years old) with an International Classification of Disease (ICD) diagnosis code for child maltreatment each year from 2001-2018 and examine differences by age, gender, and race/ethnicity. Data were drawn from the electronic health records of children (birth to <18years old) who were members of a large integrated healthcare system in California. We calculated the incidence rate (1 per 1000 children) for each year from 2001-2018 separately by age groups, gender, and race/ethnicity. Adolescents (11-15years old) had the overall highest incidence of all ages groups. Females had nearly twice the rate of males for the past 5years. Lastly, for race/ethnicity Black children had the highest incidence and Asian children the lowest. The findings demonstrate that maltreatment diagnosis in medical settings may be underused. Understanding the trends of these ICD codes by demographic characteristics yields information that health care providers may use to both increase the identification and documentation of child maltreatment.

The impact of stay-at-home orders on the rate of emergency department child maltreatment diagnoses.

BACKGROUND: There is limited data regarding the rates and severity of child maltreatment in medical settings during the COVID-19 pandemic, and the reports are somewhat contradictory. OBJECTIVE: To examine the rates of emergency department (ED) child maltreatment (CM) diagnosis before and after the California statewide stay-at-home order, as well as potential disparities by age, gender, race/ethnicity, and Medicaid status. METHODS: A retrospective pre-post interrupted time series was conducted using data from the electronic health records of children (<18 years) with at least one emergency department visit between January 1, 2019 and September 30, 2021. Enactment of the stay-at-home order in California, March 2020 was used to determine a change in trend of rates of diagnosis of CM in the ED. RESULTS: Overall the study included 407,228 pediatric ED visits. There was a significant change in the percentage of CM visits immediately after the stay-at-home order, followed by small month to month decreases returning to near pre-stay-at-home order levels. This significant increase was driven by higher risk for children <4 years old. The increased rate of CM in the first month after the stay-at-home order was also elevated for female, Black, and Hispanic children. CONCLUSIONS: Our results indicated the rates of CM diagnoses in the ED doubled after the March 2020 stay-at-home order in California. Additionally, our findings suggest that some children may be at higher risk than others, which supports the importance of social safety nets for children in times of national emergency.

Does the source matter? Social support and suicide attempts among homeless youth.

The impact of social support on suicide is understudied among youth experiencing homelessness (YEH). This is problematic because assumptions about the protectiveness of relationships may not generalize to conflictive YEH environments. This study, which included 1047 YEH, used path modeling with a logistic regression estimator to examine associations between social support from family, home-based friends, and street-based friends and past-year suicide attempt. Social support from home-based friends but not family or street-based friends decreased suicide attempt risk. Moreover, social support from home-based friends moderated the association between depression and attempt risk. Targeted programming strengthening home-based-friend relationships represents a valuable endeavor.

Injuries Associated With Subsequent Child Maltreatment Diagnosis: By Age, Race, Gender, and Medicaid Status.

This study examined injuries that may precede a child maltreatment (CM) diagnosis, by age, race/ethnicity, gender, and Medicaid status using a retrospective case-control design among child members of a large integrated healthcare system (N = 9152 participants, n = 4576 case). Injury categories based on diagnosis codes from medical visits were bruising, fractures, lacerations, head injury, burns, falls, and unspecified injury. Results showed that all injury categories were significant predictors of a subsequent CM diagnosis, but only for children < 3 years old. Specifically, fracture and head injury were the highest risk for a subsequent CM diagnosis. All injury types were significant predictors of maltreatment diagnosis for Hispanic children < 3 years, which was not the case for the other race/ethnicities. Overall, these findings suggest that all types of injury within these specific categories should have a more thorough assessment for possible abuse for children under 3 years. This work can inform the development of clinical decision support tools to aid healthcare providers in detecting abusive injuries.