Year of Publication

2018

Degree Name

Doctor of Nursing Practice

Committee Chair

Dr. Judi Daniels

Clinical Mentor

Dr. Laura Hiermonymus

Committee Member

Dr. Leslie Scott

Abstract

Abstract

BACKGROUND: Type 2 diabetes (T2DM) is a complicated disease process that affects more than 15 percent of adults in the state of Kentucky, with a national average of 9.4%. Individuals with diabetes are at increased risk for micro and macro neurovascular complications. Depression is a common co-morbidity and potentially affects their ability to manager this complex disease.

PURPOSE: The purpose of this study was to examine the prevalence of depression in a group of patients with T2DM, not on insulin therapy. Further, relationships between depression and blood glucose monitoring, Hgb A1c, other co-morbidities, number of medications taken, and demographics were explored.

METHODS: A retrospective chart review of patients with T2DM not on insulin was conducted. Descriptive and non-parametric statistics were used to examine the prevalence of depression in demographics, co-morbid conditions, HgbA1c levels, number of chronic medications and having a prescribed meter.

RESULTS: The sample consisted of 77 patient records. A diagnosis of depression was documented in 66 patients with 26 of those treated with an antidepressant. Only half of the sample were formally screened for depression. The only association between the variables and depression was among those who were overweight and obese (p value =.014).

CONCLUSIONS: The relationship between depression and BMI is common. From these results, the drivers of depression were not associated with diabetes, diabetes related co-morbidities or blood glucose monitoring. These findings reveal that depression is complex and may be associated with socio-economic variables. Providers must focus on the challenges depression can bring and consider those relationships in the management of those with chronic diseases.

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