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Prim Care Diabetes ; 9(5): 346-53, 2015 Oct.
Article in English | MEDLINE | ID: mdl-25649990

ABSTRACT

AIMS: To study the frequency and intensity of depressive symptoms and associations with physician resource utilisation following insulin initiation in patients with type 2 diabetes mellitus. METHODS: SOLVE was a 24-week observational study. In this sub-analysis of data from Poland, depressive symptoms were evaluated using the Patient Health Questionnaire (PHQ)-9. RESULTS: PHQ-9 was completed by 942 of 1169 patients (80.6%) at baseline, and 751 (64.2%) at both baseline and final (24-week) visit. PHQ-9 scores indicated depressive symptoms in 45.6% (n=430) at baseline, and 27.2% (n=223) at final visit. Mean PHQ-9 change was -2.38 [95% CI -2.73, -2.02], p<0.001. Depressive symptoms at baseline (OR 6.32, p<0.001), microvascular disease (OR 2.45, p=0.016), number of physician contacts (OR 1.16, p=0.009), and change in HbA1c (OR 0.60, p=0.025) were independently associated with moderate/severe depressive symptoms at final visit. Patients with more severe depressive symptoms spent more time training to self-inject (p=0.0016), self-adjust (p=0.0023) and manage other aspects of insulin delivery (p<0.0001). Patients with persistent depressive symptoms had more telephone contacts and dose changes at final visit than those without (both p<0.05). CONCLUSIONS: Depressive symptoms are common with type 2 diabetes and associated with increased healthcare utilisation, reinforcing the need for holistic interdisciplinary management approaches.


Subject(s)
Depression/epidemiology , Diabetes Mellitus, Type 2/drug therapy , Health Resources/statistics & numerical data , Hypoglycemic Agents/therapeutic use , Insulin/therapeutic use , Aged , Biomarkers/blood , Chi-Square Distribution , Depression/diagnosis , Depression/psychology , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/diagnosis , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/psychology , Female , Glycated Hemoglobin/metabolism , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Office Visits/statistics & numerical data , Poland/epidemiology , Prevalence , Severity of Illness Index , Surveys and Questionnaires , Telephone/statistics & numerical data , Time Factors , Treatment Outcome
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