Child Health Needs and the Adolescent Medicine Workforce Supply: 2020-2040.

Adolescent medicine (AM) subspecialists provide primary, subspecialty, and consultative care to adolescents and young adults (AYAs). Given insufficient numbers of AM subspecialists to care for all AYAs, the workforce supports AYAs health care capacity through education, research, advocacy, and the development of policies and programs sensitive to their unique needs. A modeling project funded by the American Board of Pediatrics Foundation was developed to forecast the pediatric subspecialty workforce in the United States from 2020 to 2040 on the basis of current trends in each subspecialty. The model predicts workforce supply at baseline and across alternative scenarios, and reports results in headcount and headcount adjusted for percentage of time spent in clinical care, termed "clinical workforce equivalent." For the AM subspecialty, several scenarios were considered that modified the number of fellows and/or clinical time. The baseline model predicted low growth nationally (27% and 13% increase in total AM subspecialists and AM subspecialists per 100 000 children, respectively) and declines in AM workforce relative to population growth in census divisions with existing geographic workforce disparities. In the alternative scenarios, fellow number and clinical time changes did not significantly change predictions relative to the baseline model, but a 12.5% decrease in fellows predicted a 40% reduction in the workforce from baseline with a widening of geographic workforce disparities. On the basis of the expansive clinical and nonclinical roles of AM subspecialists and these forecasted workforce challenges, significant educational, practice, and policy changes will be necessary to bolster the supply of well-trained clinicians addressing the dynamic health care needs of AYAs.

Upholding Our PROMISE: Underrepresented in Medicine Pediatric Residents' Perspectives on Interventions to Promote Belonging.

PURPOSE: Underrepresented in medicine (UIM) residents experience challenges during training that threaten their sense of belonging in medicine; therefore, residency programs should intentionally implement interventions to promote belonging. This study explored UIM pediatric residents' perspectives on current residency program measures designed to achieve this goal. METHOD: The authors conducted a secondary qualitative analysis as part of a national cross-sectional study, PROmoting Med-ed Insight into Supportive Environments (PROMISE), which explored pediatric residents' experiences and perspectives during training in relation to their self-identities. A 23-item web-based survey was distributed through the Association of Pediatric Program Directors Longitudinal Educational Research Assessment Network from October 2020 to January 2021. Participants provided free-text responses to the question "What are current measures that promote a sense of belonging for the UIM community in your training program?" The authors used conventional content analysis to code and identify themes in responses from UIM participants. RESULTS: Of the 1,748 residents invited to participate, 931 (53%) residents from 29 programs completed the survey, with 167 (18%) identifying as UIM. Of the 167 UIM residents, 74 (44%) residents from 22 programs responded to the free-text question. The authors coded more than 140 unique free-text responses and identified 7 major themes: (1) critical mass of UIM residents; (2) focused recruitment of UIM residents; (3) social support, including opportunities to build community among UIM residents; (4) mentorship; (5) caring and responsive leadership; (6) education on health disparities, diversity, equity, inclusion, and antiracism; and (7) opportunities to serve, including giving back to the local community and near-peer mentorship of UIM premedical and medical students. CONCLUSIONS: This is the first national study to describe UIM pediatric residents' perspectives on interventions that promote a sense of belonging. Programs should consider implementing these interventions to foster inclusion and belonging among UIM trainees.

Evaluation of a Tool to Identify Child Sex Trafficking Victims in Multiple Healthcare Settings.

PURPOSE: Estimate the prevalence of child sex trafficking (CST) among patients seeking care in multiple healthcare settings; evaluate a short screening tool to identify victims in a healthcare setting. METHODS: This cross-sectional observational study involved patients from 16 sites throughout the U.S.: five pediatric emergency departments, six child advocacy centers, and five teen clinics. Participants included English-speaking youth ages 11-17 years. For emergency department sites, inclusion criteria included a chief complaint of sexual violence. Data on several domains were gathered through self-report questionnaires and examiner interview. Main outcomes included prevalence of CST among eligible youth; sensitivity, specificity, positive/negative predictive values, and positive/negative likelihood ratios for a CST screening tool. RESULTS: Eight hundred and ten participants included 91 (11.52%) youth from emergency departments, 395 (48.8%) from child advocacy centers, and 324 (40.0%) from teen clinics. Overall prevalence of CST was 11.1%: 13.2% among emergency department patients, 6.3% among child advocacy center patients, and 16.4% among teen clinic patients, respectively. The screen had a sensitivity, specificity, and positive likelihood ratio of 84.44% (75.28, 91.23), 57.50% (53.80, 61.11), and 1.99% (1.76, 2.25), respectively. CONCLUSIONS: This study demonstrates a significant rate of CST among patients presenting to emergency departments (for sexual violence complaints), child advocacy centers, and teen clinics. A six-item screen showed relatively good sensitivity and moderate specificity. Negative predictive value was high. Intervention for a "positive" screen may identify victims and help prevent high-risk youth from becoming victimized. This is one of the first CST screening tools specifically developed and evaluated in the healthcare setting.