Factors related to recruitment and retention of patients into diabetes group visits in Federally Qualified Health Centers

RATIONALE, AIMS AND OBJECTIVES: To examine factors related to recruitment of eligible patients and retention of enrolled patients in diabetes group visits (GVs). METHOD: As part of a cluster randomized trial, 272 eligible patients were contacted and 75 patients were eventually enrolled in GVs at six community health centers (CHC). Fisher's exact tests and χ (2) tests were used to compare enrolled and nonenrolled patients by patient recruitment method, gender and preferred language. Linear mixed models were used to evaluate characteristics associated with GV attendance such as diabetes self‐empowerment and diabetes‐associated distress. Content analysis was used to analyse patients' open‐ended survey responses, and template analysis was used to analyse CHC staff interviews. RESULTS: In terms of recruitment and enrollment analysis, patients who received in‐person contact only and both phone and in‐person contact comprised a greater fraction of the enrolled than unenrolled group, while those who received phone only and both phone and mail comprised a smaller fraction of the enrolled than unenrolled group (p = 0.004). In terms of retention analysis, 70 of the 75 enrolled patients attended at least one GV (93%). The average number of GVs was 3.2 out of 6 visits. Higher GV attendance was associated with lower baseline diabetes empowerment (p = 0.03). Patients' most common self‐reported motivating factors to attend GVs were to learn more about diabetes, gain improved blood glucose control and find support from peers. CONCLUSION: In‐person recruitment for GVs at CHCs was more effective than recruitment by telephone/mail. Patients who felt less empowered to manage their diabetes were most motivated to attend GVs. These findings could help clinicians implement targeted recruitment of patient populations who are more likely to attend diabetes GVs and tailor self‐management education interventions to their patient populations, particularly for underserved patients who face disparate clinical outcomes.