MedPath

Evaluating an Intervention for Physician Burnout

Phase 2
Recruiting
Conditions
Physician Burnout
Registration Number
NCT06969950
Lead Sponsor
Brown University
Brief Summary

The goals of this randomized controlled trial are 1) to test the efficacy of an app-based program in reducing physician burnout vs. no app (control) in 100 physicians; 2) to explore the role of an online live training to augment outcomes and develop an ongoing and sustainable support community with a subsample of physicians.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
100
Inclusion Criteria
  1. Being a physician
  2. Able to speak English because all study activities will be conducted in English.
  3. 18+ years
  4. Direct patient care
Exclusion Criteria
  1. If using psychotropic medication - not on a stable dosage at least 6 weeks

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Primary Outcome Measures
NameTimeMethod
Level of cynicismIt will be collected 3 times, at baseline, 2 weeks after (post-app), three months later (follow-up). For the sub-group that will attend the online virtual training intervention, it will be collected after 4 months (post online training intervention).

Maslach Burnout Inventory (MBI) cynicism. The MBI is a validated 22-item self-report measure of risk of burnout. Items are rated on a 7-point Likert scale ranging from 0 (never) to 6 (every day). The investigators will use only one single-item measure of cynicism that was included from the Maslach Burnout Inventory (MBI)-based on the research of West et al., 2009.

Secondary Outcome Measures
NameTimeMethod
Level of emotional exhaustionIt will be collected 3 times, at baseline, 2 weeks after (post-app), three months later (follow-up). For the sub-group that will attend the online virtual training intervention, it will be collected after 4 months (post online training intervention).

1.Maslach Burnout Inventory (MBI) emotional exhaustion. The MBI is a validated 22-item self-report measure of risk of burnout. Items are rated on a 7-point Likert scale ranging from 0 (never) to 6 (every day).

Level of anxietyIt will be collected 3 times, at baseline, 2 weeks after (post-app), three months later (follow-up). For the sub-group that will attend the online virtual training intervention, it will be collected after 4 months (post online training intervention).

2.Generalized Anxiety Disorder 7-items (GAD-7). The GAD-7 is a validated 7-item measure of anxiety rated on a 4-point Likert scale ranging from 0 (Not at all sure) to 3 (Nearly every day).

Level of depressionIt will be collected 3 times, at baseline, 2 weeks after (post-app), three months later (follow-up). For the sub-group that will attend the online virtual training intervention, it will be collected after 4 months (post online training intervention).

Patient Health Questionnaire 2-item scale (PHQ-2). The PHQ-2 is a validated 2-item self-report measure of depression. Items are rated on a 4-point Likert scale ranging from 0 (not at all) to 3 (nearly every day).

Level of intolerance of uncertaintyIt will be collected 3 times, at baseline, 2 weeks after (post-app), three months later (follow-up). For the sub-group that will attend the online virtual training intervention, it will be collected after 4 months (post online training intervention).

4.Intolerance of Uncertainty 12-item scale (IUS-12). The IUS-12 is a validated 12-item self-report measure of intolerance of uncertainty. Items are rated on a 5-point Likert scale ranging from 1 (not t all).

Level of self-compassionIt will be collected 3 times, at baseline, 2 weeks after (post-app), three months later (follow-up). For the sub-group that will attend the online virtual training intervention, it will be collected after 4 months (post online training intervention).

5.Self-Compassion Scale. The SCS is a validated 12-item self-report measure of self-compassion on a 5-point Likert scale ranging from 1 (almost never) to 5 (always).

Trial Locations

Locations (1)

Brown University

🇺🇸

Providence, Rhode Island, United States

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