The impact of depression medications on oral antidiabetic drug adherence in patients with diabetes and depression

Xing, Shan; Calip, Gregory S.; Leow, Alex D.; Schumock, Glen T.; Touchette, Daniel R.; Lee, Todd A.

doi:10.1016/j.jdiacomp.2017.12.008

Cited by 8 publications

(15 citation statements)

References 45 publications

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“…In addition, regular screening of patients with diabetes for depression and anxiety, and attentive listening to their concerns, which is one of the important attributes of patient-centered care, may improve patients' trust in their healthcare providers and eventually lead to better health outcomes [25]. This cannot be emphasized enough given the negative impact of depression and anxiety on a multitude of health outcomes, including medication adherence, which is crucial for preventing serious complications of diabetes, such as myocardial infarction and stroke [7,8].…”

Section: Discussionmentioning

confidence: 99%

“…This is quite evident among patients with diabetes, as they are likely to suffer from serious microvascular (diabetic nephropathy, neuropathy, and retinopathy) and macrovascular (coronary artery disease, peripheral arterial disease, and stroke) complications that worsen their disease burden and increase their risk of having both depression and anxiety [ 6 ]. Depression and anxiety are associated with lower adherence to life-saving anti-hyperglycemic medications among patients with diabetes [ 7 , 8 ]. Depression and/or anxiety also have a negative impact on patient health-related quality of life (HRQoL) and healthcare utilization and costs [ 9 – 11 ].…”

Section: Introductionmentioning

confidence: 99%

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The relationship between trust in primary healthcare providers among patients with diabetes and levels of depression and anxiety

et al. 2020

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Background Trust in healthcare providers has been shown to improve several clinical and patientreported outcomes. However, its relationship with depression and anxiety has not been investigated among patients with chronic health conditions, such as diabetes. Therefore, the aim of this study was to examine whether trust in primary care physicians among patients with diabetes is associated with their levels of depression and/or anxiety. Method Adult patients (�18 years) with a diagnosis of diabetes, confirmed through their electronic health records, were recruited and interviewed from the primary care clinics of three public hospitals. Patient trust in primary care physicians was assessed using the Health Care Relationship (HCR) Trust scale. Depression and anxiety were assessed using the Patient Health Questionnaire 9-item (PHQ-9) and Generalized Anxiety Disorder 7-item (GAD-7), respectively. Two multiple linear regression analyses were conducted to examine the association of HCR-Trust scores with PHQ-9 and GAD-7 scores controlling for age, sex, Charlson comorbidity index score, education, health literacy, annual income, nationality, duration of illness, and research site. Results The number of patients who agreed to be interviewed was 367. Most of the participants were female (61.54%) and Saudi (92.86%). High HCR-Trust scores were negatively associated with PHQ-9 scores (β =-0.18; 95%

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The relationship between trust in primary healthcare providers among patients with diabetes and levels of depression and anxiety

et al. 2020

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“…5,6 Studies examining the relationship between depression and adherence to oral antihyperglycemic medications are either cross-sectional or measure adherence following depression diagnosis. [7][8][9][10][11][12][13] However, symptoms of depression precede clinical diagnosis and could affect medication adherence earlier than currently reported. 14,15 Adherence rates can change over time and reduced willingness or capacity to take medication may facilitate identification of individuals whose medication use is influenced by underlying symptoms of depression.…”

mentioning

confidence: 87%

“…This could allow for earlier interventions to manage depression that may reduce subsequent sequalae (or the cascade effect) of non-adherence to antihyperglycemic medications. 13 Our overarching goal was to determine if medication adherence is affected in the time before a depressive episode. Our first objective was to characterize adherence to oral antihyperglycemic medications in the year before a depressive episode using a traditional proportion of days covered (PDC) 16 approach and group-based trajectory modelling (GBTM).…”

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confidence: 99%

Depression and antecedent medication adherence in a cohort of new metformin users

2020

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Aims The association between depression and poor medication adherence is based on cross‐sectional studies and cohort studies that measure adherence rates after depression status is determined. However, depressive symptoms occur well before diagnosis. This study examined adherence patterns in the year before a depressive episode. Methods This retrospective cohort study followed new metformin users identified in Alberta Health's administrative data between 2008 and 2018. Depressive episodes starting ≥1 year after metformin initiation were identified using a validated case definition. Controls were randomly assigned a pseudo depression date. Adherence to oral antihyperglycemic medications was estimated using proportion of days covered (PDC) and group‐based trajectory models to explore the association between depression and poor adherence (PDC<0.8). Results A depressive episode occurred in 17,418 (10.6%) of 165,056 new metformin users. Individuals with depression were more likely to have poor adherence compared to controls (adjusted odds ratio 1.21; 95% CI 1.17, 1.26). Five trajectories were identified: nearly perfect adherence (PDC >0.95 [34.8% of cohort]), discontinued (PDC=0 [18.3% of cohort], poor initial adherence (PDC 0.75) that declined either rapidly (9.2% of cohort) or gradually (30.1% of cohort), and poor initial adherence (PDC 0.26) that increased gradually (7.6% of cohort). Individuals with depression were more likely to be in one of the four trajectories of poor adherence compared to controls (adjusted odds ratio 1.24; 95% CI 1.19‐1.29). Conclusions Poor medication adherence occurs in the year before a depressive episode; therefore, poor medication use patterns could be used as an early warning sign for depression.

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“…Thus, various strategies, including diet therapy, physical activities, and the use of oral and intravenous drugs, are suggested for a healthy lifestyle. [17][18][19][20] and the rates of glycated hemoglobin (glycohemoglobin) are higher in people with anxiety or mood disorders (in diabetes types 1 and 2). [21][22][23] Briefly speaking, behavioral and psychosomatic factors are constantly interacting.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Biofeedback on Diabetic Patients’ Glycemia

2018

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Background: Complementary medicine claims that biofeedback affects the reduction of blood glycemia. Objective: The current study aimed to determine the effects of biofeedback on decreasing blood glucose levels and tension and increasing the quality of life in diabetic patients. Methods: The current retrospective evidence-based study used pretest-posttest accidental sampling to select a group of 30 diabetic patients admitted to Glenview Clinic in the Aghdasiyeh region, Tehran, Iran, as the sample. Participants were divided into two 15-membered groups, the experiment and the control groups, matched by age and gender. Data gathering tools included the Quality of Life questionnaire in diabetic patients by Thomas et al, the Perceived Tension Index by Cohen et al, a glucometer, and the fasting blood glucose test. Data was analyzed using analysis of covariance (ANCOVA). Results: The results showed that biofeedback training was effective in decreasing blood glucose levels in diabetic patients. Conclusion: Biofeedback can reduce tension and improve the quality of life of diabetic patients; thus, it could be used as a complementary service in healthcare centers.

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The impact of depression medications on oral antidiabetic drug adherence in patients with diabetes and depression

Abstract: Use of SGA was associated with a 1.3-1.4 times higher odds of a ≥10% decline in OAD adherence. Adherence to OAD is critical for optimal diabetes control and reductions in this magnitude may impact A1C. Close monitoring of OAD adherence after SGA initiation is warranted.

Cited by 8 publications

References 45 publications

The relationship between trust in primary healthcare providers among patients with diabetes and levels of depression and anxiety

The relationship between trust in primary healthcare providers among patients with diabetes and levels of depression and anxiety

Depression and antecedent medication adherence in a cohort of new metformin users

The Impact of Biofeedback on Diabetic Patients’ Glycemia

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