The novel coronavirus (COVID-19) pandemic has created an unprecedented global health challenge. There is risk that the outbreak will create a “second pandemic” of mental health crises in health systems and communities. Thus, a comprehensive public health response to the pandemic must include (a) attention to the psychological aspects of hospitalization for patients, families, and staff affected by COVID-19; (b) planning for emergency and acute psychiatric patient care if hospitals become overwhelmed with COVID-19 patients; and (c) innovations for providing mental health care in communities while social distancing is required and health system resources are strained. Nurses and nurse leaders must anticipate these mental health challenges, assist with preparedness in health systems and communities, and advocate for a coordinated response to promote mental wellness and resilience.

In December of 2019, reports emerged of pneumonia clusters of unknown cause at health facilities in Wuhan, China. These cases were linked to a wet animal wholesale market in the region and, after extensive epidemiologic investigation, led to identification of a novel coronavirus (COVID‐19). COVID‐19 is among a family of viruses—called coronaviruses—that can affect both humans and animals (Zhu et al., 2020).

OBJECTIVES: Our purpose in this study was to adapt and validate the Traumatic Events Screening Inventory (TESI) as a primary-care childhood adversity screening tool for children living in vulnerable neighborhoods using a community-partnered approach. METHODS: In this cross-sectional, descriptive study, we used a sample of 261 children (3–16 years old) who were seeking services at a Federally Qualified Health Center with colocated behavioral health services in Chicago and had a positive Pediatric Symptom Checklist screen result or received a referral for behavioral health evaluation. The TESI was adapted as a screening tool to be sensitive to adverse childhood experiences (ACEs) unique to the clinic communities. ACEs were mapped by zip code with objective neighborhood crime data, and latent class analysis was performed to identify ACE subgroups. RESULTS: The mapping validation suggested face validity for geographic overlap between participant ACEs and objective violent-crime occurrence. With latent class analysis, we identified 3 ACE subgroups: (1) high ACE (18.0% of the sample; polyvictimization and/or maltreatment), (2) moderate ACE (52.1%; violent environments), and (3) low ACE (29.9%; few adverse experiences). Membership in the high-ACE subgroup was associated with higher odds of a clinically significant Pediatric Symptom Checklist score (odds ratio = 3.83) and clinical-level attention problems (odds ratio = 3.58) even after accounting for child resilience and parent depression. CONCLUSIONS: ACEs play a significant role in predicting a need for behavioral health services among children seeking primary-care services. The community-adapted TESI is a valid ACE screening tool.