Accelerating Innovation in Primary Care to Support Adolescent Health Discussions.

BACKGROUND AND OBJECTIVES: Adolescent strengths and risks are not routinely captured in systematized and actionable ways in pediatric primary care. To address this problem, we developed a comprehensive adolescent health questionnaire (AHQ) integrated within the electronic health record and evaluated the AHQ's impact on collection of information on prioritized health-related domains. METHODS: We developed and pilot tested the AHQ. We then scaled and assessed the AHQ's impact on data collection. AHQ development used innovation methods and measured feasibility and acceptability outcomes. Scaling and postscaling outcomes included Reach, Effectiveness, Adoption, Implementation, Maintenance and Sustainability measures: Reach (total questionnaires completed), Effectiveness (capture of key information across health domains pre- vs post-AHQ scaling), Adoption (proportion of practices that adopted the AHQ), Implementation (proportion of eligible adolescents who completed the AHQ), and Maintenance (monthly completion rates). RESULTS: AHQ development led to a tool that was feasible and acceptable for use. During scaling (October 2020-December 2021), 22 147 questionnaires were completed by 20 749 unique adolescents aged 13 to 21 years at their preventive visit. Comparing pre- versus post-AHQ scaling data, use of the AHQ increased collection of information across domains, especially for strengths, gun safety, substance use, sexual activity, sexual orientation, and gender identity, from ranges of 0%-25% to 92%-95%. All 31 practices adopted the AHQ with completion at 88.7% of visits (n = 24 968). Two years postscaling, completion rates were >91% per month. CONCLUSIONS: We successfully developed, scaled, and maintained an AHQ in a widely-used electronic health record system, a model for improving adolescent care and foundation for developing future interventions.

The Role of Family Support in Moderating Mental Health Outcomes for LGBTQ+ Youth in Primary Care.

Importance: Lesbian, gay, bisexual, transgender, queer, and/or questioning (LGBTQ+) youth face worse mental health outcomes than non-LGBTQ+ peers. Family support may mitigate this, but sparse evidence demonstrates this in clinical settings. Objectives: To compare depression and suicide risk between LGBTQ+ and non-LGBTQ+ youth in primary care settings and to investigate whether family support mitigates these negative mental health outcomes. Design, Setting, and Participants: This cross-sectional study uses data from well care visits completed by adolescents aged 13 to 19 years from February 2022 through May 2023, including the Patient Health Questionnaire-9 Modified for Teens (PHQ-9-M) and the Adolescent Health Questionnaire (AHQ; an electronic screener assessing identity, behaviors, and guardian support), at 32 urban or suburban care clinics in Pennsylvania and New Jersey. Exposures: The primary exposure was self-reported LGBTQ+ status. Family support moderators included parental discussion of adolescent strengths and listening to feelings. Race and ethnicity (determined via parent or guardian report at visit check-in), sex, payer, language, age, and geography were covariates. Main Outcomes and Measures: PHQ-9-M-derived mental health outcomes, including total score, recent suicidal ideation, and past suicide attempt. Results: The sample included 60 626 adolescents; among them, 9936 (16.4%) were LGBTQ+, 15 387 (25.5%) were Black, and 30 296 (50.0%) were assigned female sex at birth. LGBTQ+ youth, compared with non-LGBTQ+ youth, had significantly higher median (IQR) PHQ-9-M scores (5 [2-9] vs 1 [0-3]; P < .001) and prevalence of suicidal ideation (1568 [15.8%] vs 1723 [3.4%]; P < .001). Fewer LGBTQ+ youth endorsed parental support than non-LGBTQ+ youth (discussion of strengths, 8535 [85.9%] vs 47 003 [92.7%]; P < .001; and listening to feelings, 7930 [79.8%] vs 47 177 [93.1%]; P < .001). In linear regression adjusted for demographic characteristics and parental discussion of strengths, LGBTQ+ status was associated with a higher PHQ-9-M score (mean difference, 3.3 points; 95% CI, 3.2-3.3 points). In logistic regression, LGBTQ+ youth had increased adjusted odds of suicidal ideation (adjusted odds ratio, 4.3; 95% CI, 4.0-4.7) and prior suicide attempt (adjusted odds ratio, 4.4; 95% CI, 4.0-4.7). Parental support significantly moderated the association of LGBTQ+ status with PHQ-9-M score and suicidal ideation, with greater protection against these outcomes for LGBTQ+ vs non-LGBTQ+ youth. Conclusions and Relevance: Compared with non-LGBTQ+ youth, LGBTQ+ youth at primary care visits had more depressive symptoms and higher odds of suicidal ideation and prior suicide attempt. Youth-reported parental support was protective against these outcomes, suggesting potential benefits of family support-focused interventions to mitigate mental health inequities for LGBTQ+ youth.