Screening in High Schools to Identify, Evaluate, and Lower Depression Among Adolescents: A Randomized Clinical Trial

Deepa L Sekhar, Eric W Schaefer, James G Waxmonsky, Leslie R Walker-Harding, Krista L Pattison, Alissa Molinari, Perri Rosen, Jennifer L Kraschnewski, Deepa L Sekhar, Eric W Schaefer, James G Waxmonsky, Leslie R Walker-Harding, Krista L Pattison, Alissa Molinari, Perri Rosen, Jennifer L Kraschnewski

Abstract

Importance: Adolescent major depressive disorder (MDD) prevalence has nearly doubled in the past decade. The US Preventive Services Task Force endorses universal adolescent MDD screening in primary care; however, most adolescents lack preventive health care, resulting in worsening disparities in MDD screening and treatment.

Objective: To evaluate the effectiveness of universal adolescent MDD screening in the school setting in an effort to reduce disparities and improve MDD identification and treatment initiation.

Design, setting, and participants: This randomized clinical trial, conducted from November 6, 2018, to November 20, 2020, compared the usual school practice of targeted or selected screening based on observable behaviors of concern with universal MDD screening. Students within an identified school were randomized by grade to 1 of the 2 study groups. Study groups were compared using mixed-effects logistic regression. Participants included students in grades 9 through 12 enrolled at 1 of the 14 participating Pennsylvania public high schools.

Interventions: In targeted screening, students with behaviors prompting concern for MDD were referred to the Student Assistance Program (SAP), mandated in all Pennsylvania schools. The SAP determined follow-up recommendations. In universal screening, all students completed the Patient Health Questionnaire-9 (PHQ-9); students with positive scores proceeded to SAP. The universal screening group could also have targeted referral to SAP for concerning behavior independent of the PHQ-9.

Main outcomes and measures: The primary outcome was initiation of MDD treatment or services based on data collected by school SAP teams during the academic year.

Results: A total of 12 909 students were included (median age, 16 years [range, 13-21 years]; 6963 male [53.9%]), of whom 2687 (20.8%) were Hispanic, 2891 (22.4%) were non-Hispanic Black, 5842 (45.3%) were non-Hispanic White, and 1489 (11.5%) were multiracial or of other race or ethnicity. A total of 6473 students (50.1%) were randomized to universal screening, and 6436 (49.9%) were randomized to targeted screening. Adolescents in the universal screening group had 5.92 times higher odds (95% CI, 5.07-6.93) of being identified with MDD symptoms, 3.30 times higher odds (95% CI, 2.49-4.38) of SAP confirming follow-up needs, and 2.07 times higher odds (95% CI, 1.39-3.10) of initiating MDD treatment. No differences were identified in initiation for planned subgroup analyses by sex or race and ethnicity.

Conclusions and relevance: In this randomized clinical trial, universal school-based MDD screening successfully increased identification of MDD symptoms and treatment initiation among adolescents, confirming the value of this approach to address this rising public health concern.

Trial registration: ClinicalTrials.gov identifier: NCT03716869.

Conflict of interest statement

Conflict of Interest Disclosures: In the past 3 years, Dr Sekhar reported receiving funding from Pfizer through the American Academy of Pediatrics, the Penn State Clinical and Translational Science Awards Program, and a Eugene Washington Patient-Centered Outcomes Research Institute Engagement Award. In the past 3 years, Dr Waxmonsky reported receiving research funding from Supernus and consulting with Intracellular Therapeutics and Adlon Pharmaceuticals. Dr Kraschnewski reported receiving grants from Patient-Centered Outcomes Research Institute and the Agency for Healthcare Research and Quality during the conduct of the study and grants from Merck outside the submitted work, and she reported currently serving on an advisory board for Sanofi to address health disparities for influenza vaccination in primary care. No other disclosures were reported.

Figures

Figure.. Study Flow Diagram
Figure.. Study Flow Diagram

References

    1. Healthy . Mental health and mental disorders. Accessed February 24, 2021.
    1. Siu AL; US Preventive Services Task Force . Screening for depression in children and adolescents: US Preventive Services Task Force recommendation statement. Ann Intern Med. 2016;164(5):360-366. doi:10.7326/M15-2957
    1. Zenlea IS, Milliren CE, Mednick L, Rhodes ET. Depression screening in adolescents in the United States: a national study of ambulatory office-based practice. Acad Pediatr. 2014;14(2):186-191. doi:10.1016/j.acap.2013.11.006
    1. Sekhar DL, Ba DM, Liu G, Kraschnewski JL. Major depressive disorder screening remains low even among privately insured adolescents. J Pediatr. 2019;204:203-207. doi:10.1016/j.jpeds.2018.07.086
    1. Irwin CE Jr, Adams SH, Park MJ, Newacheck PW. Preventive care for adolescents: few get visits and fewer get services. Pediatrics. 2009;123(4):e565-e572. doi:10.1542/peds.2008-2601
    1. Rand CM, Goldstein NPN. Patterns of primary care physician visits for US adolescents in 2014: implications for vaccination. Acad Pediatr. 2018;18(2S):S72-S78. doi:10.1016/j.acap.2018.01.002
    1. Singh S, Roy D, Sinha K, Parveen S, Sharma G, Joshi G. Impact of COVID-19 and lockdown on mental health of children and adolescents: a narrative review with recommendations. Psychiatry Res. 2020;293:113429. doi:10.1016/j.psychres.2020.113429
    1. Sekhar DL, Pattison KL, Confair A, et al. . Effectiveness of universal school-based screening vs targeted screening for major depressive disorder among adolescents: a trial protocol for the Screening in High Schools to Identify, Evaluate, and Lower Depression (SHIELD) randomized clinical trial. JAMA Netw Open. 2019;2(11):e1914427. doi:10.1001/jamanetworkopen.2019.14427
    1. Allison VL, Nativio DG, Mitchell AM, Ren D, Yuhasz J. Identifying symptoms of depression and anxiety in students in the school setting. J Sch Nurs. 2014;30(3):165-172. doi:10.1177/1059840513500076
    1. Bhatta S, Champion JD, Young C, Loika E. Outcomes of depression screening among adolescents accessing school-based pediatric primary care clinic services. J Pediatr Nurs. 2018;38(38):8-14. doi:10.1016/j.pedn.2017.10.001
    1. McCormick E, Thompson K, Stoep AV, McCauley E. The case for school-based depression screening: evidence from established programs. Rep Emot Behav Disord Youth. 2009;9(4):91-96.
    1. Stoep AV, McCauley E, Thompson KA, et al. . Universal emotional health screening at the middle school transition. J Emot Behav Disord. 2005;13(4):213-223. doi:10.1177/10634266050130040301
    1. Husky MM, Kaplan A, McGuire L, Flynn L, Chrostowski C, Olfson M. Identifying adolescents at risk through voluntary school-based mental health screening. J Adolesc. 2011;34(3):505-511. doi:10.1016/j.adolescence.2010.05.018
    1. Guo S, Kim JJ, Bear L, Lau AS. Does depression screening in schools reduce adolescent racial/ethnic disparities in accessing treatment? J Clin Child Adolesc Psychol. 2017;46(4):523-536. doi:10.1080/15374416.2016.1270826
    1. Council on School Health . The role of the school nurse in providing school health services. J Sch Nurs. 2008;24(5):269-274. doi:10.1177/1059840508323781
    1. Fröjd SA, Nissinen ES, Pelkonen MU, Marttunen MJ, Koivisto AM, Kaltiala-Heino R. Depression and school performance in middle adolescent boys and girls. J Adolesc. 2008;31(4):485-498. doi:10.1016/j.adolescence.2007.08.006
    1. Sörberg Wallin A, Koupil I, Gustafsson JE, Zammit S, Allebeck P, Falkstedt D. Academic performance, externalizing disorders and depression: 26,000 adolescents followed into adulthood. Soc Psychiatry Psychiatr Epidemiol. 2019;54(8):977-986. doi:10.1007/s00127-019-01668-z
    1. Hivner E, Hoke A, Francis E, Ricci T, Zurlo C, Kraschnewski J.. When a “one size” model doesn't fit all: the Building Healthy Schools Program. JOPERD. 2019;90(2):8-16. doi:10.1080/07303084.2018.1546629
    1. Sekhar DL, Zalewski TR, Beiler JS, et al. . The sensitivity of adolescent hearing screens significantly improves by adding high frequencies. J Adolesc Health. 2016;59(3):362-364. doi:10.1016/j.jadohealth.2016.02.002
    1. Pennsylvania Department of Education . Pennsylvania school performance profile. Accessed September 28, 2021.
    1. Richardson LP, McCauley E, Grossman DC, et al. . Evaluation of the Patient Health Questionnaire-9 Item for detecting major depression among adolescents. Pediatrics. 2010;126(6):1117-1123. doi:10.1542/peds.2010-0852
    1. Pennsylvania Network for Student Assistance Services . What is the Student Assistance Program? Updated July 2019. Accessed February 18, 2021.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-381. doi:10.1016/j.jbi.2008.08.010
    1. Pennsylvania Department of Education . COVID-19 response efforts. March 15, 2020. Accessed March 4, 2021.
    1. Student Assistance Program . Considerations for tele-screening/assessment during COVID-19. Accessed March 4, 2021.
    1. Student Assistance Program. Student assistance program FY-2016-2017: mental health-drug and alcohol statistical data. Accessed March 4, 2021.
    1. Agresti A. Categorical Data Analysis. 3rd ed. John Wiley & Sons; 2013.
    1. Little R, Yau L. Intent-to-treat analysis for longitudinal studies with drop-outs. Biometrics. 1996;52(4):1324-1333. doi:10.2307/2532847
    1. Rubin DB, Schenker N. Multiple imputation in health-care databases: an overview and some applications. Stat Med. 1991;10(4):585-598. doi:10.1002/sim.4780100410
    1. Lipari RN, Hedden S, Blau G, Rubenstein L. The CBHSQ Report. Substance Abuse and Mental Health Services Administration; 2013.
    1. Merikangas KR, He JP, Burstein M, et al. . Service utilization for lifetime mental disorders in US adolescents: results of the National Comorbidity Survey-Adolescent Supplement (NCS-A). J Am Acad Child Adolesc Psychiatry. 2011;50(1):32-45. doi:10.1016/j.jaac.2010.10.006
    1. Lu W. Adolescent depression: national trends, risk factors, and healthcare disparities. Am J Health Behav. 2019;43(1):181-194. doi:10.5993/AJHB.43.1.15
    1. Green JG, Keenan JK, Guzmán J, Vinnes S, Holt M, Comer JS. Teacher perspectives on indicators of adolescent social and emotional problems. Evid Based Pract Child Adolesc Ment Health. 2017;2(2):96-110. doi:10.1080/23794925.2017.1313099
    1. Chartier M, Stoep AV, McCauley E, Herting JR, Tracy M, Lymp J. Passive versus active parental permission: implications for the ability of school-based depression screening to reach youth at risk. J Sch Health. 2008;78(3):157-164. doi:10.1111/j.1746-1561.2007.00278.x
    1. Pennsylvania General Assembly . Regular session 2019-2020. Senate Bill 199. Accessed March 10, 2021.
    1. Utah State Legislature . H.B. 323 School Mental Health Funding Amendments. 2020. Accessed March 8, 2021.
    1. Friedman RA. Uncovering an epidemic–screening for mental illness in teens. N Engl J Med. 2006;355(26):2717-2719. doi:10.1056/NEJMp068262
    1. Johnson JG, Harris ES, Spitzer RL, Williams JB. The patient health questionnaire for adolescents: validation of an instrument for the assessment of mental disorders among adolescent primary care patients. J Adolesc Health. 2002;30(3):196-204. doi:10.1016/S1054-139X(01)00333-0
    1. Alegría M, Chatterji P, Wells K, et al. . Disparity in depression treatment among racial and ethnic minority populations in the United States. Psychiatr Serv. 2008;59(11):1264-1272. doi:10.1176/ps.2008.59.11.1264
    1. Yang KG, Rodgers CRR, Lee E, Lê Cook B. Disparities in mental health care utilization and perceived need among Asian Americans: 2012-2016. Psychiatr Serv. 2020;71(1):21-27. doi:10.1176/appi.ps.201900126

Source: PubMed

3
Abonnieren