Evaluation of Nutrition Training Augmented With Digital Technology in Graduate Medical Education

Study Overview
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Brief Summary
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We will conduct a randomized controlled evaluation of standard nutrition education vs. standard education + Nutri, and interactive clinical software that automates diet assessment and guides resident physicians through personalized and evidence-based diet counseling. We will evaluate differences in resident-reported diet counseling competence and self-efficacy using survey measures. We will evaluate skills using a simulated patient appointment and coding scheme described in prior work.

Official Title
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Evaluation of Nutrition Training Augmented With Digital Technology in Graduate Medical Education

Conditions
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Chronic Disease

Intervention / Treatment
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* Behavioral: Nutri Training
* Behavioral: Standard Nutrition Education


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Dell Medical School Internal Medicine Residents Dell Medical School Family Medicine Residents Exclusion Criteria: N/A

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 65 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Health Services Research
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Single


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Nutri Training<br>Nutri Training will begin with 1) a presentation of diet counseling evidence and best practices for advising patients, along with information about nutrition recommendations for patients with chronic illness and 2) tools supporting the patient for follow-up. This content will be delivered via a live demonstration of the Nutri interactive software and case demonstration, a novel approach to delivering the learning objectives of standard nutrition education for residents. | Behavioral: Nutri Training<br>* Nutri Training will begin with 1) a presentation of diet counseling evidence and best practices for advising patients, along with information about nutrition recommendations for patients with chronic illness and 2) tools supporting the patient for follow-up. This content will be delivered via a live demonstration of the Nutri interactive software and case demonstration, a novel approach to delivering the learning objectives of standard nutrition education for residents.<br>|
| Active Comparator: Standard Nutrition Education<br>Standard Nutrition Training will present an overview of 1) nutrition recommendations for patients with chronic disease and 2) cover the role of a registered dietitian and referrals. | Behavioral: Standard Nutrition Education<br>* Standard Nutrition Education Standard Nutrition Training will present an overview of 1) nutrition recommendations for patients with chronic disease and 2) cover the role of a registered dietitian and referrals.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Diet Counseling Competence | Self-report of diet counseling competency; 4-point Likert-like scale scale; higher score means better outcome | Resident pre-assessment and post-assessment, expected to be 2 weeks after enrollment | 
| Diet Counseling Self-Efficacy | Self-report of confidence (self-efficacy) in diet counseling; 4-point Likert-like scale scale; higher score means a better outcome. | Resident pre-assessment and post-assessment, expected to be 2 weeks after enrollment | 
| Diet Counseling Skills | We will also use an observation checklist to systematically capture resident shared decision-making and diet counseling skills. We will create this checklist based on a literature review of similar tools, such as the Shared Decision Making (SDM) SDM-9 and the coding scheme described in Alexander 2011. | Post-hoc analysis of simulation activity, expected to be at 2 weeks after training intervention | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Medical Education, Nutrition Counseling, Technology