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Behavioral Health Screening Graph Model

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Description

This explorer contrasts three branches from one patient node. The blue-to-orange behavioral-health paths carry instrument scores and example screening results. The purple neurodiversity and green palliative-care branches use dashed, unscored relationships. Select any node or edge to inspect the evidence for that structural difference.

Lesson Plan

Audience: undergraduate students and healthcare data practitioners. Allow 10–15 minutes. Prerequisites: nodes, directed edges, labels, properties, and the distinction between screening and diagnosis.

Learning objective: Differentiate a screened-and-diagnosed behavioral-health pathway from the structurally separate neurodiversity and palliative-care categories, and classify each screening instrument by the condition it screens for.

  1. Predict: Before selecting anything, identify which edges appear to carry a measured result and which do not.
  2. Compare: Inspect PHQ-9, GAD-7, AUDIT-C, and their SCREENS_FOR edges. Record the instrument, target, sample score, and result shown for each.
  3. Differentiate: Collapse and expand the clusters. Explain why Autism, ADHD, and Palliative Care do not use the same score-bearing edge pattern in this model.

Assessment: ask learners to classify each of the three screening instruments and cite two visible graph features that distinguish the scored branch from the unscored branches. A complete response also states that a positive screen does not establish a diagnosis by itself.

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<iframe src="https://dmccreary.github.io/modeling-healthcare-data/sims/behavioral-health-screening-graph-model/main.html" width="100%" height="882px" scrolling="no"></iframe>

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Quality Checks

Validated September 7, 2026. Completeness rubric: 100/100. Browser interaction tests passed at 400, 800, and 1200 pixels; iframe visibility and visual layout checks passed; no JavaScript errors were observed.

Specification

The specification is recorded in the TODO entry and Chapter 11.

References