This cross-sectional study assesses inquiries to a child distress hotline during the COVID-19 pandemic compared with inquiries during the same period the previous year.

The purpose of this study was to identify changes in family conflict and abuse dynamics during COVID-19 stay-at-home orders from the perspectives of youth calling a national child abuse hotline. We analyzed text and chat transcripts from Childhelp’s National Child Abuse Hotline from May–June 2020 that were flagged as coming from a child with a COVID-19-related concern (N = 105). Thematic analysis was used to identify COVID-19 related influences of family conflict as well as how COVID-19 constraints influenced coping and survival for youth reporting distress or maltreatment to the hotline. Family conflict most commonly disclosed stemmed from parental or child mental health concerns, often manifesting in escalated child risk taking behaviors, parental substance use, and violence in the home. Conflict was also mentioned surrounding caregiver issues with child productivity while sheltering-in-place, commonly related to school or chores. Youth often voiced feeling unable to find relief from family conflict, exacerbated from physical distance from alternative social supports, technological isolation, and limited contact with typical safe places or supportive adults. To cope and survive, youth and crisis counselors found creative home-based coping skills and alternative reporting mechanisms. Understanding the unique impact of COVID-19 on youth in homes with family conflict and abuse can point to areas for intervention to ensure we are protecting the most vulnerable as many continue to shelter-in-place. In particular, this study revealed the importance of online hotlines and reporting mechanisms to allow more youth to seek out the help and professional support they need.

Background The coronavirus disease 2019 (COVID-19) pandemic has exacerbated multiple stressors for caregivers of children in the United States, raising concern for increased family conflict, harsh parenting, and child maltreatment. Little is known regarding children's perceptions and experiences of caregiver stress during the COVID-19 pandemic. Objective To examine how children and adolescents identify and experience caregiver stress during the early COVID-19 pandemic. Methods We analyzed 105 de-identified helpline text and online chat transcripts from children under age 18 who submitted inquiries to the Childhelp National Child Abuse Hotline from March to June of 2020, with COVID-19 as a presenting issue. Inductive, thematic analysis was used to identify how child helpline users: 1) perceived and experienced drivers of caregiver stress and 2) used words to describe manifestations of caregiver stress during the COVID-19 pandemic. Results Children experienced multiple drivers of caregiver stress during COVID-19, including intrapersonal (e.g. caregiver health concerns), interpersonal (e.g. parental discord, perceived dislike of child), and extrapersonal (e.g. financial insecurity, sheltering in place) stressors. Regardless of the driver, caregivers' stress was internalized by children. “Anger,” “control,” and “blame” were most commonly used to label manifestations of caregiver stress, which were often externalizing behaviors, including yelling, name calling, and blaming of others. Conclusion In text and online chat inquiries to a national child helpline during the COVID-19 pandemic, children described multiple drivers of caregiver stress, often feeling as though they were to blame. Providers serving children should address household stress spillover effects by including caregivers and directly acknowledging children's concerns using their own words.

Background: There is strong evidence supporting implementation of the Collaborative Care Model within primary care. Fee-for-service payment codes, published by Current Procedural Terminology in 2018, have made collaborative care separately reimbursable for the first time. These codes (ie, 99492–99494) reimburse for time spent per month by any member of the care team engaged in Collaborative Care, including behavioral care managers, primary care providers, and consulting psychiatrists. Time-based billing for these codes presents challenges for providers delivering Collaborative Care services. Objectives: Based on experience from multiple health care organizations, we reflect on these challenges and provide suggestions for implementation and future refinement of the codes. Conclusions: Further refinements to the codes are encouraged, including moving from a calendar month to a 30-day reimbursement cycle. In addition, we recommend payers adopt the new code proposed by the Centers for Medicare and Medicaid Services to account for smaller increments of time.

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Background: As the burden of mental health disorders continues to increase worldwide, there is significant need to describe the cultural variations in presentation, diagnosis and treatment of these diseases. An understanding of these variations can lead to the development of more effective programs to manage these conditions. In Guatemala, depression is the second-leading cause of disability and yet mental health treatment resources are scarce, particularly for indigenous individuals. Aims: The primary research aim was to describe primary care nurses’ explanatory models of depression in their clinical work in indigenous communities in Guatemala. A secondary research aim was to describe training and resources which would support and empower these nurses, in order to lessen risk for burnout. Methods: A cross-sectional mixed methods survey was designed to elicit nurses’ perspectives on the presentation, cause and treatment of depression in the communities they serve, as well as their clinical and emotional comfort in working with depressed individuals. Two subsequent focus groups gathered qualitative commentary which informed training and resource recommendations. Theoretical thematic analysis was used to generate codes and themes from focus group transcripts and survey responses. Results: Guatemalan primary care nurses described symptoms of depression in their cultural context, identified socioeconomic factors which contribute to depression in their communities, and detailed treatment preferences. Limited referral options and concern for privacy made connecting patients to mental health care difficult. Nurses emphasized the need for community education on depression and for supplemental mental health resources which would increase their capacity to identify and treat depression. Conclusions: Primary care nurses in Guatemala identify and treat depression despite limited resources. Further investigations should focus on creating training modalities which include front-line nurses, given their critical role in the health system.

Introduction: Violence against women (VAW) can result in long-term and varied sequela for survivors, making it difficult to evaluate healthcare intervention. This study seeks to improve understanding of the healthcare experiences of women survivors prior to a violence-related diagnosis, allowing healthcare systems to better design strategies to meet the needs of this population. Methods: Using population-based data from 2016 to 2019, this cross-sectional observational study presents healthcare spending, utilization, and diagnostic patterns of privately insured women, age 18 or older, in the 10-months prior to an episode of care for a documented experience of violence (DEV). Results: Of 12 624 764 women meeting enrollment criteria, 10 980 women had DEV. This group had higher general medical complexity, despite being 10 years younger than the comparison group (mean age 32.7 vs 43.5). These relationships held up when comparing participants in each cohort by age. Additional key findings including higher numbers of medical visits across clinical settings and higher total cost ($10 138-$4585). Conclusions: The study utilized population-based data, to describe specific areas of health and medical cost for women with DEV. Increased medical complexity and utilization patterns among survivors broaden the understanding of the health profiles and healthcare touchpoints of survivors to inform and optimize strategies for medical system engagement and resource allocation for this public health crisis.

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