Modeling the Impact of School-Based Universal Depression Screening on Additional Service Capacity Needs: A System Dynamics Approach

Aaron R. Lyon, Melissa A. Maras, Christina M. Pate, Takeru Igusa, Ann Vander Stoep

Research output: Contribution to journalArticle

Abstract

Although it is widely known that the occurrence of depression increases over the course of adolescence, symptoms of mood disorders frequently go undetected. While schools are viable settings for conducting universal screening to systematically identify students in need of services for common health conditions, particularly those that adversely affect school performance, few school districts routinely screen their students for depression. Among the most commonly referenced barriers are concerns that the number of students identified may exceed schools’ service delivery capacities, but few studies have evaluated this concern systematically. System dynamics (SD) modeling may prove a useful approach for answering questions of this sort. The goal of the current paper is therefore to demonstrate how SD modeling can be applied to inform implementation decisions in communities. In our demonstration, we used SD modeling to estimate the additional service demand generated by universal depression screening in a typical high school. We then simulated the effects of implementing “compensatory approaches” designed to address anticipated increases in service need through (1) the allocation of additional staff time and (2) improvements in the effectiveness of mental health interventions. Results support the ability of screening to facilitate more rapid entry into services and suggest that improving the effectiveness of mental health services for students with depression via the implementation of an evidence-based treatment protocol may have a limited impact on overall recovery rates and service availability. In our example, the SD approach proved useful in informing systems’ decision-making about the adoption of a new school mental health service.

Original languageEnglish (US)
Pages (from-to)168-188
Number of pages21
JournalAdministration and Policy in Mental Health and Mental Health Services Research
Volume43
Issue number2
DOIs
StatePublished - Mar 1 2016

Fingerprint

Depression
Students
Mental Health Services
Aptitude
School Health Services
Health Services Needs and Demand
Clinical Protocols
Mood Disorders
Decision Making
Mental Health

Keywords

  • Depression
  • Implementation
  • School mental health
  • Screening
  • System dynamics modeling

ASJC Scopus subject areas

  • Phychiatric Mental Health
  • Health Policy
  • Public Health, Environmental and Occupational Health
  • Psychiatry and Mental health

Cite this

Modeling the Impact of School-Based Universal Depression Screening on Additional Service Capacity Needs : A System Dynamics Approach. / Lyon, Aaron R.; Maras, Melissa A.; Pate, Christina M.; Igusa, Takeru; Vander Stoep, Ann.

In: Administration and Policy in Mental Health and Mental Health Services Research, Vol. 43, No. 2, 01.03.2016, p. 168-188.

Research output: Contribution to journalArticle

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