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A study to validate educational interventions and assessment tools for behavioral economics dialogue skills using AI-simulated patients in diabetes care.

Basic Information

Recruitment status	Pending
Health condition(s) or Problem(s) studied	Type 2 Diabetes Mellitus
Date of first enrollment	2026/07/01
Target sample size	43
Countries of recruitment	Japan
Study type	Interventional
Intervention(s)	A single session of behavioral economic communication training using AI-simulated patients (interaction with 3 cases and reviewing feedback, approx. 40-50 min) for three cohorts: (1) junior physicians (3-7 years post-grad), (2) specialty-trained physicians in Endocrinology and Diabetes, and (3) board-certified diabetologists.

Outcome(s)

Primary Outcome

Change in AI-generated total score for behavioral economic communication skills from Pre-test to Post-test (approximately 40-50 minutes after the start of the study).

Secondary Outcome

Change in self-efficacy (confidence levels, Q1-Q4) from Pre-test to Post-test. Change in the number of dialogue turns (rounds of conversation) required to reach a consensus with the AI patient. Mean scores of the System Usability Scale (SUS) in the post-intervention questionnaire. Comparison of baseline AI-generated scores among the three groups (junior, specialty-trained, and expert physicians) to verify construct validity.

Key inclusion & exclusion criteria

Age minimum	24years-old
Age maximum	Not applicable
Gender	Male and Female
Include criteria	Physicians who provided written informed consent. Physicians meeting any of the following: Junior physicians (3-7 years post-grad), Specialty-trained physicians in Endocrinology and Diabetes (without Diabetology Board certification), or Board-certified Diabetologists.
Exclude criteria	Those who have difficulty preparing an internet environment or device. Those judged inappropriate by the principal investigator.