Date Approved
4-15-2026
Graduate Degree Type
Dissertation
Degree Name
Nursing (D.N.P.)
Degree Program
College of Nursing
First Advisor
Dr. Kellie Riley
Second Advisor
Dr. Leda Evans
Academic Year
2025/2026
Abstract
Background: Missed diabetes follow-up contributes to suboptimal glycemic control in primary care. Health record embedded reminder systems may improve continuity of care, but process evaluation is needed to understand real-world implementation (Bugge, 2024; Rathod et al., 2024).
Objective: To evaluate fidelity, workflow processes, and reach of the Cheers automated A1c reminder program among adults with type 2 diabetes in primary care.
Methods: This retrospective process evaluation used EHR data guided by the CDC Program Evaluation Framework (CDC, 2024). Measures included reminder delivery, follow-up completion, fidelity, and contextual factors.
Results: Of 72 eligible patients, 26 met success criteria (36.1%); 92.0% completed an A1c and 88.0% a follow-up visit within 90 days. A1c declined significantly from first to second post-reminder measurement (7.74% to 7.19%; p = 0.049), and no patients remained poorly controlled (≥9.0%).
Conclusions: Cheers demonstrated value by identifying patients with worsening glycemic control and supporting follow-up associated with A1c improvement. The campaign operated without staff awareness or outcome monitoring. Organizational ownership and dashboard integration are recommended.
Implications for Nursing: Findings will inform workflow refinement and support sustainable nursing and interprofessional strategies strengthening chronic disease follow-up.
ScholarWorks Citation
Lewis, Heather E., "Process Evaluation of the Cheers Automated A1c Follow-Up Reminder System in Primary Care" (2026). Doctoral Dissertations. 84.
https://scholarworks.gvsu.edu/dissertations/84

