Analysis of Patient-Reported Barriers to Diabetic Retinopathy Follow-Up.

BACKGROUND AND OBJECTIVES: Close follow-up of diabetic retinopathy (DR) has been linked to improved visual outcomes. This study elucidates patient-identified barriers to DR follow-up in a diverse urban clinic population. PATIENTS AND METHODS: Patients 18 years of age or older with DR or macular edema were interviewed using a 21-question survey on attitudes and barriers toward care. Univariate and multivariate logistic analysis identified barriers associated with non-compliance to follow-up. RESULTS: Two hundred nine patients participated with mean age of 58.2 years and hemoglobin A1c of 8.5%. The most common barriers cited were long waiting times (46.4%), other medical conditions (35.9%), forgetting (28.2%), and inability to leave work (9.1%). In a multivariate analysis, forgetting (odds ratio [OR]: 4.35) and other medical conditions (OR: 1.91) were barriers independently associated with non-compliance. Having proliferative DR was associated with other medical conditions in univariate (OR: 4.60) and multivariate analysis (OR: 4.35). CONCLUSION: Patients with DR who report other medical conditions or forgetting have a higher risk of non-compliance to follow-up. [Ophthalmic Surg Lasers Imaging Retina. 2019;50:99-105.].

Factors Associated with Non-compliance for Diabetic Retinopathy Follow-up in an Urban Safety-Net Hospital.

PURPOSE: Diabetic retinopathy (DR) is the leading cause of preventable blindness in working-aged adults, and compliance in ophthalmic follow-up appointments is critical to prevent vision loss. However, barriers to follow-up care have not been well studied, especially in socio-economically disadvantaged groups. We investigated the risk factors for non-compliance to DR follow-up appointments in a safety-net county hospital. METHODS: Two hundred and nine patients who were treated for DR at the Zuckerberg San Francisco General Hospital retina clinic between 1 July 2015 and 30 January 2016 were enrolled in the study. Multivariate logistic regression analysis of demographic and medical information was used to determine independent risk factors for non-compliance to DR follow-up appointments. RESULTS: The mean patient age was 58 years. Sixty-three percent (132/209) of patients were male; the mean haemoglobin A1c level was 8.5 (SD 0.14). Forty-six percent (97/209) of patients attended <80% of their DR follow-up appoinments. Independent risk factors for non-compliance after multivariate logistic regression analysis were diabetic foot involvement [OR: 2.40, 95% CI: (1.04-5.55)] and foot/kidney involvement [OR: 3.79 (1.35-10.5)], history of major depressive disorder (MDD) [OR: 2.11 (1.05-4.26), and having Medi-Cal [OR: 5.01 (2.00-12.5)] or SF Health insurance [OR: 6.79 (2.14-21.5)]. CONCLUSIONS AND RELEVANCE: In conclusion, this is the first study to identify diabetic end organ damage and MDD as independent risk factors for non-compliance in DR follow-up appointments. It is important that health care providers identify these patient subsets and increase efforts to more deliberately encourage follow-up in these high-risk patient groups for DR.