Defect-Based Scenario Simulation: error-embedded high-fidelity simulation for specialized skills training¶

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description¶

DBSS is an instructional method that uses simulation technology to create highly realistic, immersive clinical environments in which procedural flaws or latent risks are deliberately embedded. The article defines it as one where "the deliberate embedding of procedural flaws or latent risks within high-fidelity clinical simulations" compels learners to identify, analyze, and resolve problems. It aligns with Kolb's experience–reflection–conceptualization–application cycle and reflective learning theory, moving trainees from passive execution to active thinking. The article notes DBSS currently lacks an independent theoretical framework.

Design Implications¶

Context¶

Requirements¶

A scenario development team to design defect-based scripts grounded in standard operating procedures, real clinical cases and teaching goals

Constraints¶

DBSS currently lacks an independent theoretical framework, per the article

Target Learners¶

practicing nurse anesthetists with at least one year of anesthesia nursing experience

Learning Goals¶

specialized anesthesia nursing skills
clinical judgment and risk prevention awareness
critical thinking disposition

Claims¶

Examples¶

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Key Sources¶

Ma Yanli, Li Han, Zhang Huan, Gao Fengli, Ma Xiaobei. (2026). Defect-based scenario simulation teaching in the specialized skills training of nurse anesthetists: a before–after within-subject design. BMC Medical Education. https://doi.org/10.1186/s12909-026-09098-7

Page metadata

Field	Value
`type`	`design`
`id`	`dbss-teaching-method-framework`
`title`	`Defect-Based Scenario Simulation: error-embedded high-fidelity simulation for specialized skills training`
`description`	`DBSS is an instructional method that uses simulation technology to create highly realistic, immersive clinical environments in which procedural flaws or latent risks are deliberately embedded.`
`status`	`review`
`generated`	by `process:settle-candidates` on `2026-11-05`
`trust`	unverified — no one has confirmed this page's content
`sources`	1 — `ma-yanli-2026`

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