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Improving Patient-Centered Care for Veterans With Treatment-Resistant Depression Using Shared Decision-Making Tools
Cheyenne M Allen1, Carla Bray2
1Cheyenne M. Allen, DNP, PMHNP-BC, Clarion University of Pennsylvania, Clarion, PA, USA.
Journal of the American Psychiatric Nurses Association
|December 13, 2022
Summary
Treatment-resistant depression (TRD) care improved significantly in veterans, reaching 99.6% after implementing patient-centered strategies. This quality improvement project enhanced veteran care beyond the initial 80% goal.
Area of Science:
- Psychiatry
- Quality Improvement
- Healthcare Management
Background:
- Treatment-resistant depression (TRD) affects 50-60% of patients, with higher rates and comorbidities in military populations.
- A chart audit revealed 68% of veterans met TRD criteria, yet only 25% received adequate treatment, and none were offered alternatives.
- No standardized guidelines exist for TRD identification, complicating patient care.
Purpose of the Study:
- To enhance patient-centered TRD care within a veteran's hospital.
- To improve TRD care to 80% within 90 days.
- To implement and evaluate a quality improvement project for TRD management.
Main Methods:
- A quality improvement project utilizing plan-do-study-act (PDSA) cycles over 8 weeks.
- Four core interventions: TRD screening, right-care case management, shared decision-making (SDM), and team engagement.
- Rapid-cycle testing of improvements in screening, patient education, surveys, and team collaboration.
Main Results:
- Achieved an overall mean score of 99.6% for patient-centered TRD care.
- Exceeded the project's aim of 80% improvement within 90 days.
- Demonstrated significant improvement from a baseline right-care score of 25%.
Conclusions:
- Patient-centered TRD care was substantially improved through shared decision-making (SDM) and enhanced inter-clinic teamwork.
- The project successfully demonstrated a scalable model for improving TRD management in a veteran population.
- Effective teamwork and communication are crucial for optimizing treatment outcomes in TRD.
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