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Insights Into Veterans' Perspectives on a Peer Support Program for Glycemic Management
Briana D Lott1,2, Tanisha N Dicks2, Shimrit Keddem1,3
1Veterans Integrated Service Network 4, Center for Evaluation of PACT (CEPACT), Philadelphia, Pennsylvania.
Peer mentoring for veterans with type 2 diabetes showed benefits like improved self-care and accountability. Successful pairings involved strong connections and structured interactions, highlighting the value of well-supported peer support programs.
Area of Science:
- Health Services Research
- Diabetes Management
- Veteran Health
Background:
- Type 2 diabetes is a significant health concern for veterans.
- Effective self-management support is crucial for improving glycemic control.
- Peer mentoring offers a potential avenue for enhancing diabetes self-care.
Purpose of the Study:
- To explore the dynamics of mentor-mentee relationships in veterans with type 2 diabetes.
- To identify factors contributing to successful peer mentoring pairings.
- To understand the impact of peer mentoring on diabetes self-care behaviors.
Main Methods:
- Qualitative semistructured interviews were conducted within a peer mentoring randomized controlled trial.
- Purposive sampling ensured representation of mentees with varying glycemic outcomes.
- Interview data were audio-recorded, transcribed, and analyzed for thematic content.
Main Results:
- The peer mentoring intervention was generally well-received and perceived as valuable.
- Benefits included accessible support, enhanced self-confidence, accountability, and improved glycemic management.
- More successful mentees reported stronger connections, structured interactions, and greater satisfaction with mentors.
Conclusions:
- Large-scale peer support programs can be effective for veterans with type 2 diabetes.
- Optimizing programs involves selecting suitable mentors, providing training for structured interactions, and considering mentee comorbidities.
- Peer mentoring shows promise for improving diabetes self-care and outcomes in veteran populations.
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