Table 4.

OPT Model Rating Scale

OPT Model Concept	Evident √	Partially Evident √	Not Evident √
Client-in-Context Story: accurate to assessment
Cue Logic: significant evidence listed	Example: Defining characteristics of Nursing Diagnosis listed	Example: Only some defining characteristics of Nursing Diagnosis listed	Example: Nursing Diagnosis without defining characteristics
Keystone Issue: derived appropriately from clinical reasoning web
Present State: accurately reflects client story
Outcome State: appropriate NOC choices	Example: NOC choices are appropriate for Keystone Nursing Diagnosis	Example: Some NOC choices are not appropriate for Keystone Nursing Diagnosis	Example: None of the NOC choices are appropriate for the Keystone Nursing Diagnosis
Testing: appropriate tests to fill gap
Framing: suitable for client story
Decision Making: appropriate NIC choices
Judgments: evaluation of testing reveals a realistic critique of client care situation
Clinical reasoning web: diagnoses are appropriate and sufficient in number	Example: Nursing Diagnoses are appropriate to the case and cover all patient need areas	Example: Nursing Diagnoses are appropriate but do not cover all patient needs	Example: Nursing Diagnoses are too few and do not cover patient needs
Clinical reasoning web: cue data are evident and support nursing diagnoses
Clinical reasoning web: Connections between diagnoses are appropriate and sufficient in number