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Evaluation of an Adapted HOPE Program to Reduce Burnout Among Gynecologic Oncology Clinicians
Led by Fred Hutchinson Cancer Center · Updated on 2026-06-17
25
Participants Needed
1
Research Sites
N/A
Total Duration
AI-Summary
What this Trial Is About
This research aims to evaluate an adapted version of the Helping Ovarian Cancer Patients Cope HOPE intervention designed to address burnout among gynecologic oncology clinicians. Burnout and stress in these clinicians can lead to serious personal, professional, and societal impacts including distress, mental illness, poorer patient outcomes, increased errors, and reduced physician availability in this specialty. The adapted intervention, called HOPE-C, applies hope theory and social-cognitive theory to foster peer support and help clinicians reframe their challenging experiences. The study includes three main objectives. First, clinicians review the HOPE-C materials and provide feedback through interviews and questionnaires to help develop the intervention. Next, clinicians participate in weekly HOPE-C sessions for four weeks, each lasting about 30 to 45 minutes, focusing on changing their narrative, managing uncertainty, and finding meaning. After completing the sessions, clinicians complete questionnaires and may participate in follow-up interviews to optimize and assess the intervention. Participants will be assessed before, during, and after the intervention using questionnaires and interviews. Researchers will track feasibility measures such as enrollment rate, intervention completion, survey completion, as well as acceptability and satisfaction with the HOPE-C program. The study runs from the initial feedback phase through intervention delivery and follow-up, lasting several weeks, with assessments at baseline, during, and two weeks after completing sessions to understand the programs impact on clinician burnout.
CONDITIONS
Brief Title
Adapted Helping Ovarian Cancer Patients Cope Intervention to Address Burnout for Gynecologic Oncology Clinicians
Research Team
M
Megan J. Shen, PhD
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