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

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

Abstract

Importance: The prevalence of annual major depressive disorder (MDD) episodes among adolescents in the United States rose from 8.3% in 2008 to 12.8% in 2016. Despite the US Preventive Services Task Force 2009 endorsement and 2016 reaffirmation of universal adolescent MDD screening in primary care, many adolescents are missed, as more than 60% lack annual preventive health visits and MDD screening remains inconsistent.

Objective: To compare the effectiveness of universal school-based screening for adolescent MDD vs the existing process of targeted screening based on observable behavior.

Design, setting, and participants: Screening in High Schools to Identify, Evaluate, and Lower Depression (SHIELD) is a randomized clinical trial that will take place in at least 8 Pennsylvania public high schools among at least 9650 students enrolled in 9th through 12th grade. Students will be randomized by grade to either targeted screening (current process) or universal screening (intervention). Students in the targeted screening arm will complete mandated school health screenings, which do not include an MDD screening. These students will be observed through the academic year for referral to the Student Assistance Program (SAP), required in all Pennsylvania schools. If a student exhibits behavior concerning for MDD raised by any contact (eg, teacher, parent, peer, or self-referral), SAP will triage the student and provide follow-up recommendations. Students in the universal screening arm will complete the validated Patient Health Questionnaire-9 (PHQ-9) from September through December of the academic year. The PHQ-9 includes 9 close-ended questions and is scored from 0 to 27. Students with a positive result (ie, score >10) will proceed to SAP triage. Students in the intervention arm will also be observed for behavior concerning for MDD during the school year, potentially prompting SAP triage referral. The primary outcome will be the proportion of adolescents referred to SAP triage who are recommended for additional MDD-related services and successfully engage with at least 1 SAP recommendation. Observers will not be blinded to patient groups, and an intention-to-treat analysis will be used.

Discussion: The SHIELD trial began with 3 schools during the 2018-2019 academic year. Screening in the intervention arm with the PHQ-9 is currently underway for the remaining schools, with a goal of completion of all PHQ-9 screenings by December 2019. This trial addresses the US Preventive Services Task Force call for large, high-quality randomized clinical trials to better understand the effects of MDD screening and quantify the proportion of adolescents with screen-detected MDD successfully referred and treated.

Trial registration: ClinicalTrials.gov identifier: NCT03716869.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Sekhar reported receiving grants from Pfizer through the American Academy of Pediatrics and the Highmark Foundation, owning stock in American Kidney Stone Management, having a statement of work from the Pennsylvania Department of Health for their Live Healthy PA website, receiving funding from the Penn State Clinical and Translational Science Institute on a Community Engaged Research Fellowship, receiving funding through a Kohl’s Cares gift to Penn State for the development of school staff workshops, and serving as a coinvestigator on a charitable grant from the Acts of Random Kindness Foundation outside the submitted work. Dr Waxmonsky reported receiving grants from Pfizer and Supernus Pharmaceuticals, serving on the advisory boards of Purdue Pharma and NLS Pharma, and receiving support from the National Institute of Mental Health outside the submitted work. Dr Kraschnewski reported receiving grants from the US Centers for Disease Control and Prevention, the Substance Abuse and Mental Health Services Administration, Merck and Co, the National Institutes of Health, and the Patient-Centered Outcomes Research Institute outside the submitted work. No other disclosures were reported.

Figures

Figure 1.. Screening in High Schools to…
Figure 1.. Screening in High Schools to Identify, Evaluate, and Lower Depression (SHIELD), A Randomized Clinical Trial of Universal vs Targeted Screening for Adolescent Major Depressive Disorder (MDD)
PHQ-9 indicates Patient Health Questionnaire-9; SAP, Student Assistance Program.
Figure 2.. Study Flow Diagram
Figure 2.. Study Flow Diagram
PHQ-9 indicates Patient Health Questionnaire-9; SAP, Student Assistance Program.

References

    1. Office of Disease Prevention and Health Promotion Mental health and mental disorders: MHMD-4.1 reduce the proportion of adolescents aged 12 to 17 years who experience major depressive episodes. . Accessed April 23, 2019.
    1. Avenevoli S, Swendsen J, He JP, Burstein M, Merikangas KR. Major depression in the national comorbidity survey-adolescent supplement: prevalence, correlates, and treatment. J Am Acad Child Adolesc Psychiatry. 2015;54(1):-.
    1. US Centers for Disease Control and Prevention 10 Leading causes of death by age group, United States, 2017. . Accessed April 23, 2019.
    1. Mojtabai R, Olfson M, Han B. National trends in the prevalence and treatment of depression in adolescents and young adults. Pediatrics. 2016;138(6):e20161878. doi:10.1542/peds.2016-1878
    1. Office of Disease Prevention and Health Promotion Mental health and mental disorders: MHMD-11.2 increase the proportion of primary care physician office visits where youth aged 12 to 18 years are screened for depression. . Accessed April 28, 2019.
    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. Forman-Hoffman V, McClure E, McKeeman J, et al. . Screening for major depressive disorder in children and adolescents: a systematic review for the US Preventive Services Task Force. Ann Intern Med. 2016;164(5):342-349. doi:10.7326/M15-2259
    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. Dowdy E, Ritchey K, Kamphaus RW. School-based screening: a population-based approach to inform and monitor children’s mental health needs. School Ment Health. 2010;2(4):166-176. doi:10.1007/s12310-010-9036-3
    1. Glover TAG, Albers CA. Considerations for evaluating universal screening assessments. J Sch Psychol. 2007;45(2):117-135. doi:10.1016/j.jsp.2006.05.005
    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. 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. DeSocio J, Hootman J. Children’s mental health and school success. J Sch Nurs. 2004;20(4):189-196. doi:10.1177/10598405040200040201
    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. Health Resources and Services Administration. School-based health centers. . Accessed April 28, 2019.
    1. Student Assistance Program in Pennsylvania. Mental health-drug and alcohol statistical data. . Accessed April 28, 2019.
    1. Substance Abuse and Mental Health Services Administration Help Is Down the Hall: A Handbook on Student Assistance . Accessed September 10, 2019.
    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. Anderson ER, Mayes LC. Race/ethnicity and internalizing disorders in youth: a review. Clin Psychol Rev. 2010;30(3):338-348. doi:10.1016/j.cpr.2009.12.008
    1. Carragher N, Teesson M, Sunderland M, et al. . The structure of adolescent psychopathology: a symptom-level analysis. Psychol Med. 2016;46(5):981-994. doi:10.1017/S0033291715002470
    1. Okonofua JA, Eberhardt JL. Two strikes: race and the disciplining of young students. Psychol Sci. 2015;26(5):617-624. doi:10.1177/0956797615570365
    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. 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. 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.
    1. Pennsylvania Department of Education 2018-2019 School year PA student assistance program. . Accessed April 28, 2019.
    1. Pennsylvania Department of Education Act 71. . Accessed April 28, 2019.
    1. Pfizer. Welcome to the Patient Health Questionnaire (PHQ) screeners. . Accessed April 28, 2019.
    1. Pennsylvania Department of Education Pennsylvania school performance profile. . Accessed June 20, 2019.
    1. Pennsylvania Department of Education Enrollment reports and projections. . Accessed April 28, 2019.
    1. University of Bristol, Centre for Multilevel Modeling. MLPowSim. . Accessed October 10, 2019.
    1. Agresti A. Categorical Data Analysis. 3rd ed Hoboken, NJ: John Wiley and 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. 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. Question, Persuade, Refer Institute School health professionals. . Accessed April 28, 2019.
    1. Wyman PA, Brown CH, Inman J, et al. . Randomized trial of a gatekeeper program for suicide prevention: 1-year impact on secondary school staff. J Consult Clin Psychol. 2008;76(1):104-115. doi:10.1037/0022-006X.76.1.104

Source: PubMed

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