The relationship between depressive symptoms and medication nonadherence in type 2 diabetes: the role of social support

Economic Evaluation of a Web Application Implemented in Primary Care for the Treatment of Depression in Patients With Type 2 Diabetes Mellitus: Multicenter Randomized Controlled Trial

BACKGROUND

Depressive disorder and type 2 diabetes mellitus (T2DM) are prevalent in primary care (PC). Pharmacological treatment, despite controversy, is commonly chosen due to resource limitations and difficulties in accessing face-to-face interventions. Depression significantly impacts various aspects of a person's life, affecting adherence to medical prescriptions and glycemic control and leading to future complications and increased health care costs. To address these challenges, information and communication technologies (eg, eHealth) have been introduced, showing promise in improving treatment continuity and accessibility. However, while eHealth programs have demonstrated effectiveness in alleviating depressive symptoms, evidence regarding glycemic control remains inconclusive. This randomized controlled trial aimed to test the efficacy of a low-intensity psychological intervention via a web app for mild-moderate depressive symptoms in individuals with T2DM compared with treatment as usual (TAU) in PC.

OBJECTIVE

This study aimed to analyze the cost-effectiveness and cost-utility of a web-based psychological intervention to treat depressive symptomatology in people with T2DM compared with TAU in a PC setting.

METHODS

A multicenter randomized controlled trial was conducted with 49 patients with T2DM, depressive symptoms of moderate severity, and glycosylated hemoglobin (HbA1c) of 7.47% in PC settings. Patients were randomized to TAU (n=27) or a web-based psychological treatment group (n=22). This web-based treatment consisted of cognitive behavioral therapy, improvement of diabetes self-care behaviors, and mindfulness. Cost-effectiveness analysis for the improvement of depressive symptomatology was conducted based on reductions in 3, 5, or 50 points on the Patient Health Questionnaire-9 (PHQ-9). The efficacy of diabetes control was estimated based on a 0.5% reduction in HbA1c levels. Follow-up was performed at 3 and 6 months. The cost-utility analysis was performed based on quality-adjusted life years.

RESULTS

Efficacy analysis showed that the web-based treatment program was more effective in improving depressive symptoms than TAU but showed only a slight improvement in HbA1c. Incremental cost-effectiveness ratios of 186.76 for a 3-point reduction in PHQ-9 and 206.31 for reductions of 5 and 50 percentage points were obtained. In contrast, the incremental cost-effectiveness ratio for improving HbA1c levels amounted to €1510.90 (€1=US $1.18 in 2018) per participant. The incremental cost-utility ratio resulted in €4119.33 per quality-adjusted life year gained.

CONCLUSIONS

The intervention, using web-based modules incorporating cognitive behavioral therapy tools, diabetes self-care promotion, and mindfulness, effectively reduced depressive symptoms and enhanced glycemic control in patients with T2DM. Notably, it demonstrated clinical efficacy and economic efficiency. This supports the idea that eHealth interventions not only benefit patients clinically but also offer cost-effectiveness for health care systems. The study emphasizes the importance of including specific modules to enhance diabetes self-care behaviors in future web-based psychological interventions, emphasizing personalization and adaptation for this population.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03426709; https://clinicaltrials.gov/study/NCT03426709.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/S12888-019-2037-3.

Effect of Mobile Apps on Medication Adherence of Type 2 Diabetes Mellitus: A Systematic Review of Recent Studies

Medication adherence is a critical aspect of managing type 2 diabetes mellitus (T2DM) and achieving optimal clinical outcomes. Mobile app-based interventions have emerged as a promising tool to enhance adherence and glycemic control in T2DM patients. This systematic review aims to evaluate the effectiveness of mobile app interventions in improving medication adherence and glycated hemoglobin among T2DM patients. A comprehensive search was conducted in PubMed, Cochrane Library, and Google Scholar for studies published between September 2018 and September 2023. Studies were included if they were published in English and investigated the effectiveness of mobile apps in enhancing medication adherence among patients with T2DM. Studies were excluded if they included additional interventions, such as electronic pillboxes, phone calls, or SMS text messages, or if they focused on populations with chronic illnesses other than T2DM. Five studies involving 527 participants from diverse geographic locations were included in the review. The findings from the included studies show that mobile-based app interventions can significantly improve medication adherence in patients with T2DM. From the included studies, the mean HbA1c change for the intervention group was -0.664 (95%CI -0.823 to -0.506), while the mean change in HbA1c for the control group was -0.103 (95%CI -0.305 to 0.099). Studies have demonstrated the potential of mobile app-based interventions to enhance medication adherence and improve glycemic control in T2DM; further research is needed to determine the long-term effects of these interventions.

The TELE-DD Randomised Controlled Trial on Treatment Adherence in Patients with Type 2 Diabetes and Comorbid Depression: Clinical Outcomes after 18-Month Follow-Up

Clinical depression is associated with poorer adherence to hypoglycaemic medication in patients with diabetes mellitus, leading to poorer glycaemic control, diabetes management, and increased complications. The main aim of the TELE-DD trial was to demonstrate the efficacy of a proactive and psychoeducational telephonic intervention based on motivational interviewing and collaborative care to reduce nonadherence and improve prognosis in individuals with diabetes mellitus and concurrent depression.

DESIGN

The TELE-DD project is a three-phased prospective study including a nested randomised controlled trial.

METHODS

The baseline cohort included the entire population of adult patients diagnosed with type 2 diabetes and concurrent depression. A randomised controlled trial was conducted in a selection of patients from the baseline cohort, distributed into a control group (n = 192) and an intervention group (n = 192). Monthly telephonic interventions delivered by specifically trained research nurses were centred on a psychoeducational individualised monitoring protocol including motivational interviewing and collaborative care strategies. Clinical and patient-centred data were systematically collected during an 18-month follow-up including HbA1c, Patient Health Questionnaire, and the Diabetes Distress Scale.

RESULTS

During the trial, 18-month follow-up HbA1C levels significantly (p < 0.001) decreased in the intervention group at every follow-up from an average of 8.72 (SD:1.49) to 7.03 (SD:1.09), but slightly increased in the control group from 8.65 (SD:1.40) to 8.84 (SD:1.38). Similar positive results were obtained in depression severity and diabetes distress, LDL-cholesterol, and systolic and diastolic blood pressure, but only at the 18-month follow-up in body mass index reduction.

CONCLUSIONS

This is the first trial to concurrently decrease biological and psychological outcomes with a monthly brief telephonic intervention, pointing out that a combined biopsychosocial intervention and collaborative care strategy is essential for current world health challenges.

CLINICALTRIALS

gov Identifier: NCT04097483. Patient or Public Contribution: Diabetic patients not belonging to the TELE-DD population or trial sample were consulted during the study design to review and guarantee the clarity and understanding of the trial psychoeducational materials.

Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular disease

Background

Medication nonadherence is a critical problem with severe implications in individuals at risk for atherosclerotic cardiovascular disease. Many studies have attempted to predict medication adherence in this population, but few, if any, have been effective in prediction, sug-gesting that essential risk factors remain unidentified.

Objective

This study's objective was to (1) establish an accurate prediction model of medi-cation adherence in individuals at risk for atherosclerotic cardiovascular disease and (2) identify significant contributing factors to the predictive accuracy of medication adherence. In particular, we aimed to use only the baseline questionnaire data to assess medication adherence prediction feasibility.

Methods

A sample of 40 individuals at risk for atherosclerotic cardiovascular disease was recruited for an eight-week feasibility study. After collecting baseline data, we recorded data from a pillbox that sent events to a cloud-based server. Health measures and medication use events were analyzed using machine learning algorithms to identify variables that best predict medication adherence.

Results

Our adherence prediction model, based on only the ten most relevant variables, achieved an average error rate of 12.9%. Medication adherence was closely correlated with being encouraged to play an active role in their treatment, having confidence about what to do in an emergency, knowledge about their medications, and having a special person in their life.

Conclusions

Our results showed the significance of clinical and psychosocial factors for predicting medication adherence in people at risk for atherosclerotic cardiovascular diseases. Clini-cians and researchers can use these factors to stratify individuals to make evidence-based decisions to reduce the risks.

Self-care practices and correlates among patients with type 2 diabetes in Eastern Ethiopia: A hospital-based cross-sectional study

Objective:

This study investigated the level and correlates of self-care practices among patients with type 2 diabetes on follow-up in two public hospitals in Harar, Eastern Ethiopia.

Methods:

We conducted a hospital-based cross-sectional study on adult patients with type 2 diabetes, surveying diabetes self-care practices using a 15-item Summary of Diabetes Self-Care Activities. Responses ranged from 0 to 7 days, and a composite score was computed representing the mean days of diabetes self-care practices. A generalized Poisson regression model with robust variance was used. The association between the diabetes self-care practices and correlates was examined using the incidence rate ratio with a 95% confidence level. The statistical significance was set at a p value of ⩽0.05.

Results:

This study included 879 patients with type 2 diabetes. The overall mean (standard deviation) diabetes self-care practices were 3.7 ± 1.1 days out of the recommended 7 days, indicating low self-care practices. After controlling for other variables, tertiary educational level (incidence rate ratio = 1.06; 95% confidence interval: 1.01, 1.12), adequate diabetes knowledge (incidence rate ratio = 1.04; 95% confidence interval: 1.00, 1.08), moderate (incidence rate ratio = 1.07; 95% confidence interval: 1.02, 1.11) and high perceived self-efficacy (incidence rate ratio = 1.14; 95% confidence interval: 1.09, 1.13) (incidence rate ratio = 1.07; 95% confidence interval: 1.02, 1.11), high to marginal food security (incidence rate ratio = 1.13; 95% confidence interval: 1.03, 1.24), and receiving dietary advice (incidence rate ratio = 1.11; 95% confidence interval: 0.06, 1.15) were positively correlated with diabetes self-care practices. A history of hospitalization, on the other hand, was found to be inversely correlated with diabetes self-care practices (incidence rate ratio = 0.94; 95% confidence interval: 0.88, 0.99).

Conclusion:

The study indicated that adherence of patients with type 2 diabetes to the recommended self-care practices was considerably low. Therefore, tailored diabetes self-management education to enhance self-efficacy and diabetes self-care practices must be in place. This can be achieved through the system or individual-based integrated intervention efforts.

Associations Between Personality Functioning, Childhood Trauma and Non-adherence in Cardiovascular Disease: A Psychodynamically-Informed Cross-Sectional Study

Objective

Although treatment adherence and lifestyle changes significantly improve the prognosis of cardiovascular disease, many patients do not comply with clinician recommendations. Personality functioning appears to be of importance and is hypothesized to be superior to symptom-based measures in explaining individual differences in non-adherence.

Methods

194 cardiology inpatients (mean age = 70.6 years, 60% male) were assessed using self-report measures in a cross-sectional design. Patients were assessed using the short version of the Operationalized Psychodynamic Diagnosis Structure Questionnaire (OPD-SQS) to measure personality functioning, as well as the Childhood Trauma Screener (CTS), the Patient Health Questionnaire (PHQ-9) for symptoms of depression, and the Generalized Anxiety Disorder Scale-7 (GAD-7). To assess non-adherence we introduced a brief, novel scale.

Results

Non-adherence correlated significant with personality functioning (r = 0.325), childhood trauma (r = 0.204) and depressiveness (r = 0.225). In a stepwise multiple regression analysis with socio-demographic variables inputted into the model, higher deficits in personality functioning, higher levels of childhood trauma, and male gender were associated with non-adherence (adjusted R2 = 0.149, F(3,190) = 12.225, p &lt; 0.01). Level of depressive symptoms, anxiety, age, education, and income showed no significant additional predictive value and were excluded from the model.

Conclusion

In cardiovascular disease, personality functioning, childhood trauma and male gender are associated with non-adherence and appear to be more important than symptom reports of depression and anxiety. This highlights the relevance of basic impairments in intra- and interpersonal functioning in chronic disease, where the patient’s adherence is central.

Psychosocial Determinants of Treatment Adherence in Patients with Type 2 Diabetes - A Review

Less than 50% of patients with diabetes achieve the glycaemic goals recommended by the American Diabetes Association. The set of factors associated with adherence to treatment is very broad. Evidence suggests that psychosocial factors are related to medication adherence of patients with type 2 diabetes. Due to the lack of a clear statement from researchers regarding the relationship of psychosocial factors to adherence, an electronic search was conducted in PubMed, MEDLINE, Academic Search Ultimate, CINAHL Complete, Edition and Health Source: Nursing/Academic Edition using the following keywords "adherence", "diabetes", "social support", "stress", "anxiety and depression", "beliefs about medicine", "communication", "older age", "frailty", "cognitive impairment", "addiction", "acceptance of illness", "sense of coherence" obtaining 2758 results. After a narrowing of searches and reference scanning, 36 studies were qualified. The studies analysed showed negative effects of anxiety, diabetes distress, older age, poor communication with physicians, stress, concerns about medicines and cognitive impairment on levels of self-care and medication adherence. One study did not confirm the association of depression with adherence. Self-efficacy, social and family support, and acceptance of illness had a beneficial effect on medication adherence. In conclusion, the current evidence suggests that the relationship between psychosocial factors and adherence has reliable scientific support.

Mut zur Lücke. Verantwortungszuschreibungen auf der Ebene sozialer Beziehungen als neuer Bereich der Framing-Forschung zu Gesundheitsthemen

Frames der Verantwortungszuschreibung (Responsibility Frames) in der Medienberichterstattung betonen sowohl spezifische Ursachen als auch spezifische Lösungen für ein Thema. Die Forschung zum Responsibility Framing von Medieninhalten und deren Wirkungen untersucht diese Betonung bislang zumeist auf zwei verschiedenen Ebenen: der Individualebene und der gesellschaftlichen Ebene. Diese Betrachtungsweise vernachlässigt allerdings die wichtige mittlere Ebene des sozialen Umfelds der Menschen. Hier befinden sich zentrale Akteur*innen (wie Familie, Freund*innen oder Kolleg*innen), die als Ursache oder Lösung zu einem Problem beitragen können, was insbesondere bei Gesundheitsproblemen deutlich wird. Das Ziel des Beitrags ist es daher, die Ebene sozialer Beziehungen in das Konzept des Responsibility Framings zu integrieren. Dafür verknüpfen wir zentrale Elemente der sozialen Netzwerktheorie (Akteur*innen und ihre Funktionen für das Individuum) und der Attributionstheorie mit den Framing-Konzepten. Darauf aufbauend werden Konsequenzen für die zukünftige Forschung der Kommunikationswissenschaft abgeleitet.

The relationship between depression and metabolic control parameters in type 2 diabetic patients: A cross-sectional and feasibility interventional study

BACKGROUND

Substantial evidence supports a bidirectional relationship between diabetes and clinical depression. However, little is known about the effect of treating one condition on the control of the other. Thus, this study aimed to determine the prevalence of depression among Type II diabetes mellitus (T2DM) patients and to assess the efficacy and feasibility of escitalopram treatment of depression on their metabolic control parameters.

METHODS

T2DM patients attending primary care clinics in the North of Jordan were enrolled in a cross-sectional study during the period from February to December 2019 (n = 157). Depressive symptoms were screened utilising the patient health questionnaire-9 (PHQ-9) tool. Metabolic control was assessed by measurement of glycated haemoglobin (HbA1c), triglycerides, cholesterol, low-density lipoprotein (LDL) and high-density lipoprotein (HDL). Patients with moderate to severe depressive symptoms by PHQ-9 (n = 58) were interviewed by a psychiatrist to confirm a clinical diagnosis of depression. Eligible depressed patients were administered escitalopram 10 mg orally once daily for 3 months (n = 12). Thereafter, depressive symptoms and metabolic control measures were reassessed.

RESULTS

The prevalence of moderate to severe depressive symptoms among T2DM patients, according to PHQ-9, was 36.94%, while the prevalence of clinical depression based on interview was 7.64%. Baseline PHQ-9 scores correlated significantly with baseline levels of HbA1c, HDL, cholesterol and triglycerides. Escitalopram treatment intervention resulted in significant improvement of PHQ-9 scores without significantly improving any of the metabolic control measures.

CONCLUSION

The relationship between depression and T2DM in the context of metabolic syndrome is plausible. However, our results show that escitalopram treatment may not be associated with significant improvement in metabolic control parameters among these patients. Our study has laid the groundwork for future randomised clinical trials with larger sample size and longer follow-up.

The impact of hospital-diagnosed depression or use of antidepressants on treatment initiation, adherence and HbA1c/LDL target achievement in newly diagnosed type 2 diabetes

AIMS/HYPOTHESIS

We aimed to assess whether current antidepressant therapy or a history of hospital-diagnosed depression affects diabetes treatment initiation, adherence, and HbA_1c and LDL-cholesterol target achievement.

METHODS

In this register-based study, we included all individuals from Central and Northern Denmark with newly diagnosed type 2 diabetes, defined as a first-ever HbA_1c measurement of ≥48 mmol/mol (6.5%), between 2000 and 2016. Individuals either diagnosed with depression at a psychiatric hospital in the 2 years prior to their diabetes diagnosis or currently receiving treatment with an antidepressant were compared with individuals with type 2 diabetes, but without depression treatment or previous history of depression. Outcome measures included initiation of glucose-lowering drugs and lipid-modifying agents, adherence to these medications (medication possession ratio >80%), and HbA_1c (<53 mmol/mol [7%]) and LDL-cholesterol (<2.6 mmol/l) target achievement. The assessment of association between depression or antidepressant treatment and these outcomes was conducted using regression analyses with adjustment for potential confounders.

RESULTS

We included a total of 87,650 individuals with first-ever HbA_1c-diagnosed type 2 diabetes, of whom 0.9% (n = 784) had hospital-diagnosed depression and 11.4% (n = 9963) currently received antidepressant treatment. Compared with those without depression treatment, treatment with an antidepressant was associated with increased likelihood of glucose-lowering drug initiation (HR 1.39 [95% CI 1.34, 1.44]) and adherence (OR 1.27 [95% CI 1.18, 1.36]), lipid-modifying agent initiation (HR 1.17 [95% CI 1.11, 1.23]) and adherence (OR 1.25 [95% CI 1.09, 1.43]), and achievement of LDL (OR 1.08 [95% CI 1.03, 1.14]) but not HbA_1c target (OR 0.99 [95% CI 0.93, 1.06]). The findings were similar for individuals who had hospital-diagnosed depression.

CONCLUSIONS/INTERPRETATION

In individuals with newly diagnosed type 2 diabetes, antidepressant treatment and depression were associated with improved diabetes treatment quality. Graphical abstract.

A pilot study of an integrated mental health, social and medical model for diabetes care in an inner-city setting: Three Dimensions for Diabetes (3DFD)

AIMS

We examined the effectiveness of a service innovation, Three Dimensions for Diabetes (3DFD), that consisted of a referral to an integrated mental health, social care and diabetes treatment model, compared with usual care in improving biomedical and health economic outcomes.

METHODS

Using a non-randomized control design, the 3DFD model was offered in two inner-city boroughs in London, UK, where diabetes health professionals could refer adult residents with diabetes, suboptimal glycaemic control [HbA_1c ≥ 75 mmol/mol (≥ 9.0%)] and mental health and/or social problems. In the usual care group, there was no referral pathway and anonymized data on individuals with HbA_1c ≥ 75 mmol/mol (≥ 9.0%) were collected from primary care records. Change in HbA_1c from baseline to 12 months was the primary outcome, and change in healthcare costs and biomedical variables were secondary outcomes.

RESULTS

3DFD participants had worse glycaemic control and higher healthcare costs than control participants at baseline. 3DFD participants had greater improvement in glycaemic control compared with control participants [-14 mmol/mol (-1.3%) vs. -6 mmol/mol (-0.6%) respectively, P < 0.001], adjusted for confounding. Total follow-up healthcare costs remained higher in the 3DFD group compared with the control group (mean difference £1715, 95% confidence intervals 591 to 2811), adjusted for confounding. The incremental cost-effectiveness ratio was £398 per mmol/mol unit decrease in HbA_1c , indicating the 3DFD intervention was more effective and costed more than usual care.

CONCLUSIONS

A biomedical, psychological and social criteria-based referral system for identifying and managing high-cost and high-risk individuals with poor glycaemic control can lead to improved health in all three dimensions.

An integrated model to evaluate the impact of social support on improving self-management of type 2 diabetes mellitus

BACKGROUND

Type 2 Diabetes Mellitus (T2DM) is a chronic disease closely related to personal life style. Therefore, achieving effective self-management is one of the most important ways to control it. There is evidence that social support can help to improve the self-management ability of patients with T2DM, but which social support is more effective has been rarely explored. The purpose of this study is to construct an integrated model to analyze which social support has more significant impact on self-management of T2DM, and provide reasonable suggestions to health care providers on how to effectively play the role of social support.

METHODS

We established a social support indicator evaluation system and proposed an integrated model that combines ANP (Analytical Network Process) and CRITIC (CRiteria Importance through Intercriteria Correlation) methods to evaluate the impact of social support on T2DM self-management from both subjective and objective perspectives. The weights calculated by the model will serve as the basis for us to judge the importance of different social support indicators.

RESULTS

Informational support (weighting 49.26%) is the most important criteria, followed by tangible support (weighting 39.24%) and emotional support (weighting 11.51%). Among 11 sub-criteria, guidance (weighting 23.05%) and feedback (weighting 14.68%) are two most relevant with T2DM self-management. This result provides ideas and evidence for health care providers on how to offer more effective social support.

CONCLUSION

To our knowledge, this is the first study in which Multi-Criteria Decision Making (MCDM) tools, specifically ANP and CRITIC, are used to evaluate the impact of social support on improving self-management of type 2 diabetes. The study suggests that incorporating two sub-indicators of guidance and feedback into the diabetes care programs may have great potential to improve T2DM self-management and further control patient blood glucose and reduce complications.

The prevalence of comorbid depression in patients with type 2 diabetes: an updated systematic review and meta-analysis on huge number of observational studies

AIMS

Depression is a common co-morbidity in patients with type 2 diabetes mellitus (T2DM). Untreated depression in these patients adversely affects self-care activities and other diabetes complications. The aim of this study is to estimate the prevalence of depression among patients with T2DM by conducting a meta-analysis of observational studies.

METHODS

MEDLINE, Web of Science, Science Direct, and Google Scholar databases were searched for all observational studies that assessed depression in T2DM. Relevant articles were searched using the combination of Medical Subject Heading (MeSH) terms of "depression", "depressive disorder", and "diabetes mellitus" published between January 2007 and July 2018. Random effects model was used to estimate the weighted prevalence rates and 95% CI using "metaprop program in STATA 11".

RESULTS

In total, the 248 included studies (with 273 reported prevalence) identified 83,020,812 participants; of them, 23,245,827 (28%; 95% CI 27, 29) suffered from different severity levels of depressive disorders. The prevalence of depression was separately reported in 137,372 males and 134,332 females. Of them, 31,396 males (23%, 95% CI: 20, 26) and 45,673 females (34%, 95% CI: 31, 38) were depressed. Compared with global estimate, depression prevalence was lower in Europe (24%) and Africa (27%), but higher in Australia (29%) and Asia (32%). The prevalence in America was equal to the estimated prevalence in the world (28%). Depression was more common in subjects younger than 65 compared with elderlies (31% vs. 21%).

CONCLUSION

Our findings demonstrated that almost one in four adults with T2DM experienced depression. Given the high prevalence of depressive disorders in diabetic patients, screening these patients for co-morbid depression and its relevant risk factors is highly recommended.

Trajectories of social support in adults with type 2 diabetes: Associations with depressive symptoms and functional disability

OBJECTIVES

Little is known about temporal trajectories of social support in adults with type 2 diabetes (T2D) and how they are associated with diabetes-related outcomes. This study identified and explored different trajectories of social support in a community sample of adults with T2D, as well as the extent to which different trajectories were prospectively associated with depressive symptoms and functional disability.

METHODS

Data came from five annual waves of the Evaluation of Diabetes Treatment study (N = 1077). Social support, depressive symptoms, and functional disability were assessed via self-report. Separate analyses were conducted to examine the associations between social support trajectories, depressive symptoms, and functional disability, adjusting for demographic characteristics, diabetes-related covariates, and baseline depressive symptoms and functional disability.

RESULTS

Latent class growth modeling identified four distinct social support trajectories. Trajectory Groups 1 and 2 comprised participants with persistently low and persistently moderate-low social support, respectively. Trajectory Groups 3 and 4 included participants with persistently moderate-high and persistently high social support, respectively. People with persistently low social support reported higher functional disability relative to those with persistently moderate-high and persistently high social support.

CONCLUSIONS

The findings of the present study indicate that temporal patterns of social support are a predictor of future functional disability among adults with T2D.

Barriers of medication adherence in patients with type-2 diabetes: a pilot qualitative study

Background: Patients with type-2 diabetes have poor adherence to the therapeutic regime. It can result in various complications in body systems associated with undesirable metabolic control. Purpose: The present study aimed to explore the inhibitors of medication adherence in patients with type-2 diabetes. Patients and methods: This was a qualitative study using a conventional content analysis method. Participants were 12 patients with type-2 diabetes referred to the diabetes unit in Saghez, Kurdistan Province in 2015. The purposive sampling method was used with a maximum variation in sampling, and data collection was continued until data saturation was achieved. Semi-structured interviews were used for data collection. Interviews were recorded and immediately transcribed verbatim. Results: Data analysis led to the development of four main categories including disbelief in medical explanatory/prescriptive knowledge, lived experiences of the disease, challenges of everyday life, and interactive/economic challenges. The main inhibitors were the patient's understanding of his/her own physical status and strategies used for maintaining the internal balance. Healthcare providers need to take patients' perceptions into account when they are prescribing medicinal diets. Another inhibitor was the incidents of everyday life, including economic and social challenges, and interactions to receive education and skills for living with the disease. Conclusion: Beliefs of the medical team and patients should be brought closer to each other, and patients' trust in the medical team should be increased. Nurses should consider the unique experience of every patient when giving healthcare recommendations, and try to limit the existing challenges as much as possible.

Depressive Symptoms and Coping Strategies Among Indian University Students

Depression is now the leading cause of disability worldwide, and globally more than 300 million people of all ages suffer from depression. Depression, despite its major health consequences, frequently goes unnoticed among university students, since their lives are often filled with symptoms normally associated with depression (e.g., loss of sleep, low energy, anxiety, and sadness). Successful adaptation to depression depends on the use of adequate coping strategies. The extent to which university students in India with high and low levels of depressive symptoms use adequate or inadequate coping strategies has not been evaluated. Based on the Center for Epidemiological Scale for Depression score, students were assigned to either the high depressive symptoms or the low depressive symptoms group. We used the Coping Response Inventory-Adult to determine the dominant coping strategies used by the two depressive symptoms groups. The high depressive symptom group resorted to more avoidant coping strategies than the low depressive symptom group, and women were more likely to use avoidant coping strategies than men.

Patterns of chronic physical multimorbidity in psychiatric and general population

OBJECTIVE

A growing body of evidence has demonstrated the high prevalence and complexity of chronic physical multimorbidity defined as ≥2 chronic physical illness in people with psychiatric disorders. The present study aimed to assess differences in the prevalence and patterns of self-reported chronic physical illness and multimorbidity in the general and psychiatric populations.

METHODS

We performed a latent class analysis of 15 self-reported chronic physical illnesses on a sample of 1060 psychiatric patients and 837 participants from the general population.

RESULTS

Self-reported chronic physical illness and multimorbidity were significantly more prevalent in the population of psychiatric patients than in the general population (P < .001). Psychiatric patients had 27% (CI_95% 24% - 30%) higher age-standardized relative risk for chronic physical illness and a 31% (CI_95% 28% - 34%) higher for multimorbidity (P < .001). The number of chronic physical illnesses combinations was 52% higher in the psychiatric than in general population (255 vs 161 combinations respectively; P < .001). We identified four distinct latent classes: "Relatively healthy", "Musculoskeletal", "Hypertension and obesity", and "Complex multimorbidity" with no significant differences in the nature of multimorbidity latent classes patterns. The class "Relatively healthy" was significantly less (ARI = -25% (CI_95% -30% -21%), and the class "Hypertension and obesity" was significantly more prevalent in the population of psychiatric patients (ARI = 20% (CI_95% 17% - 23%).

CONCLUSIONS

These findings indicate that mental disorders are associated with an increased risk of a wide range of chronic physical illnesses and multimorbidity. There is an urgent need for the development of the guidelines regarding the physical healthcare of all individuals with mental disorders with multimorbidity in focus.

Association of functional and structural social support with medication adherence among individuals treated for coronary heart disease risk factors: Findings from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study

Background

Functional social support has a stronger association with medical treatment adherence than structural social support in several populations and disease conditions. Using a contemporary U.S. population of adults treated with medications for coronary heart disease (CHD) risk factors, the association between social support and medication adherence was examined.

Methods

We included 17,113 black and white men and women with CHD or CHD risk factors aged ≥45 years recruited 2003–2007 from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. Participants reported their perceived social support (structural social support: being partnered, number of close friends, number of close relatives, and number of other adults in household; functional social support: having a caregiver in case of sickness or disability; combination of structural and functional social support: number of close friends or relatives seen at least monthly). Medication adherence was assessed using a 4-item scale. Multi-variable adjusted Poisson regression models were used to calculate prevalence ratios (PR) for the association between social support and medication adherence.

Results

Prevalence of medication adherence was 68.9%. Participants who saw >10 close friends or relatives at least monthly had higher prevalence of medication adherence (PR = 1.06; 95% CI: 1.00, 1.11) than those who saw ≤3 per month. Having a caregiver in case of sickness or disability, being partnered, number of close friends, number of close relatives, and number of other adults in household were not associated with medication adherence after adjusting for covariates.

Conclusions

Seeing multiple friends and relatives was associated with better medication adherence among individuals with CHD risk factors. Increasing social support with combined structural and functional components may help support medication adherence.

Barriers to medication adherence and links to cardiovascular disease risk factor control: the Framingham Heart Study

BACKGROUND

In the elderly, impaired cognition may weaken medication adherence and compromise treatment for cardiovascular disease (CVD).

AIM

We examined risk factors for medication adherence and the relationship between adherence and levels of CVD risk factors among older participants with hypertension, dyslipidaemia and diabetes in the Framingham Heart Study.

METHODS

The four-item Morisky Medication Adherence Scale was administered to 1559 participants, median age 70 years, 53% women. We created an adherence score, ranging from 0 to 4, with low adherence defined as a score ≥2. CVD risk factors were assessed using standard protocols. Cognition was measured using the Mini-Mental State Examination (MMSE) and depressive symptoms were measured using the Center for Epidemiologic Studies of Depression (CES-D) scale.

RESULTS

Among participants who self-reported taking antihypertensive, lipid-lowering and/or hyperglycaemic medication(s), 12% (n = 191) had low medication adherence. The risk of low adherence increased by 45% (95% confidence interval (CI): 25-68%, P < 0.001) per five-unit increase in CES-D score. In participants taking antihypertensive medication (n = 1017), low adherence was associated with higher mean diastolic blood pressure (73 mmHg, 95% CI: 71-75 vs 71 mmHg, 95% CI: 70-71; P = 0.04) after adjusting for covariates. Among participants taking lipid-lowering medication (n = 937), low adherence was associated with higher mean low-density lipoprotein cholesterol (92 mg/dL, 95% CI: 87-96 vs 86 mg/dL, 95% CI: 84-88; P = 0.03). Low adherence was not associated with fasting plasma glucose (P = 0.10) or haemoglobin A1c (P = 0.68) in the subgroup of participants (n = 192) taking hypoglycaemic medication.

CONCLUSIONS

Depressive symptoms might act as a barrier for medication adherence, which exacerbates CVD risk factors in older-aged adults.

Associations between Depressive Symptoms and Social Support in Adults with Diabetes: Comparing Directionality Hypotheses with a Longitudinal Cohort

BACKGROUND

Individuals with diabetes are at increased risk of elevated depressive symptoms, and social support has been identified as a key factor in the health of this population. Cross-sectional associations between depressive symptoms and social support have been demonstrated. Three classes of hypotheses differentially describe the direction of this association: (1) depressive symptoms influence social support, (2) social support influences depressive symptoms, and (3) reciprocal associations exist between depressive symptoms and social support.

PURPOSE

The aim of this study was to compare these hypotheses.

METHODS

Depressive symptoms and social support were measured via telephone survey in a large cohort study of individuals with diabetes (n = 1754) in Quebec, Canada. After baseline, data were collected annually for 4 years. Path models depicting each hypothesis, as well as a stability model containing only autoregressive effects, were generated, and model fit was compared with Akaike's Information Criterion (AIC).

RESULTS

The reciprocal model was selected as the best fitting model because it had the lowest AIC. This model demonstrated that depressive symptoms predicted subsequent social support at all time points and that social support predicted subsequent depressive symptoms at most time points.

CONCLUSIONS

It appears that the association between depressive symptoms and social support in people with diabetes is best characterized as reciprocal. Results underscore the importance of directly comparing competing hypotheses and offer a more accurate depiction of the association between depressive symptoms and social support among people with diabetes.

Association of Social Support and Medication Adherence in Chinese Patients with Type 2 Diabetes Mellitus

The prevalence of diabetes is steadily increasing in China. When diabetes is uncontrolled, it generates dire consequences for health and well-being. Numerous studies have shown that health outcomes were associated with social support and medication adherence. Previous study confirmed that social support was associated with medication adherence in patients with heart failure, HIV diseases, and first-episode psychosis. However, the relationship between social support and medication adherence in patients with type 2 diabetes mellitus (T2DM) is remains unclear. This study aims to examine whether social support is associated with medication adherence in patients with T2DM. This study was conducted in the First Affiliated Hospital of the General Hospital of the People’s Liberation Army (PLA). In Beijing, a systematic random sample of 412 patients with T2DM over 18 years was recruited at baseline, and demographic characteristics, clinical data and their assessment of social support were collected from medical records and self-reported questionnaires. 330 of these patients completed a self-report measure of medication adherence at the sixth month after baseline data collection. Regression analysis showed that social support presented a positive effect on medication adherence, additionally, support utilization and the subscale of social support exhibited a significantly strong influence on medication adherence in patients with T2DM. Although medication adherence was influenced by multiple factors, this finding confirmed that social support must be recognized as a core element in interventions aimed at improving in the management of patients with T2DM.

Independent predictors of medication adherence among Singaporean patients following an ischaemic stroke or transient ischaemic attack

OBJECTIVES

To investigate the independent predictors of medication adherence among Singaporean patients following an ischaemic stroke or transient ischaemic attack.

BACKGROUND

Secondary prevention of stroke includes optimal control over modifiable risk factors, and medication adherence is important in controlling the effect of comorbidities. However, there is a paucity of published literature on the topics of medication adherence among stroke patients, especially in the Asian population.

DESIGN

A cross-sectional, descriptive, correlational study.

METHODS

One hundred and twenty-one patients with ischaemic stroke or transient ischaemic attack were recruited from a tertiary hospital in Singapore. Data collection included the Morisky Medication Adherence Scale-8 (MMAS-8), General Self-Efficacy Survey (GSES) and Medical Outcome Study Social Support Survey. Multiple linear regression analyses were used to evaluate predictors of medication adherence, measured by MMAS-8.

RESULTS

The mean score of the MMAS-8 was 5.07 (SD = 2.20, range 0-8), and more than 80% of the participants had low (n = 65, 53.7%) or medium (n = 34, 28.1%) levels of medication adherence. Multivariate linear regression analysis showed that two factors, namely "understanding the benefits of medications" (β = 0.238, p = .010) and "having suffered from stroke twice or more" (β = 0.235, p = .014), were identified as independent predictors of medication adherence in stroke patients while the other variables were adjusted. These two factors accounted for 12.4% of the variance.

CONCLUSION

Medication adherence was poor in Singaporean patients following an ischaemic stroke or transient ischaemic attack. The independent predictors identified in this study will support healthcare professionals to develop tailored intervention to improve medication adherence among this group of patients.

RELEVANCE TO CLINICAL PRACTICE

Nurses play an important role in promoting patients' medication adherence. Helping stroke patients understand the long-term benefits of their medications is essential to enhance patients' medication adherence and results in better health outcomes.

Depressive symptoms moderate the relationship between medication regimen complexity and objectively measured medication adherence in adults with heart failure

Patients with heart failure (HF) take many medications to manage their HF and comorbidities, and 20-50% experience depression. Depressed individuals with more complex medication regimens may be at greater risk for poor adherence. The aim of this study was to assess depressive symptoms as a moderator of the relationship between medication regimen complexity and medication adherence in an observational study of patients with HF. In hierarchical linear regression with the final sample of 299, the interaction of medication regimen complexity and depressive symptoms predicted medication adherence, p < .05. For individuals with higher levels of depressive symptoms [1 standard deviation (SD) above the mean], more regimen complexity was associated with lower adherence. For individuals with low (1 SD below the mean) or average levels of depressive symptoms, regimen complexity was unrelated to medication adherence. Care management strategies, including pillboxes and caregiver involvement, may be valuable in HF patients with depression.

Improving quality of diabetes care by integrating psychological and social care for poorly controlled diabetes: 3 Dimensions of Care for Diabetes

OBJECTIVE

Many people with persistent suboptimal diabetes control also have psychiatric morbidity and social problems which interfere with their ability to self-manage their diabetes. Current models of care in the UK do not integrate these different dimensions of care or address inequalities between physical and mental health. 3DFD (3 Dimensions of Care For Diabetes) integrated medical, psychological, and social care in diabetes for patients with persistent suboptimal glycemic control (HbA1c > 75 mmol/mol) despite guideline-based routine diabetes care, to improve glycemic control, reduce psychological distress, and improve social functioning.

METHODS

The service delivered interventions including brief psychological therapies, mental health assessments, psychotropic medications, and social support, enhanced by patient-led case conferences aiming to optimize diabetes care. 3DFD measured changes in HbA1c, psychological functioning, quality of life, rates of unscheduled care, and levels of engagement with routine diabetes care at baseline and at 12 months.

CONCLUSION

At 12-month follow-up, 3DFD patients achieved significant reductions in HbA1c of 15 mmol/mol, International Federation of Clinical Chemistry (1.4% Diabetes Control and Complications Trial) and improvements in depression scores and patient satisfaction. This model of care demonstrates that integrated care can improve diabetes outcomes in people with psychological and social comorbidities.

Psychosocial Correlates of Diabetes Self-management Practices

BACKGROUND

Self-Management is a crucial regimen for patients with diabetes mellitus. Many factors have affected patients' self-management practice including psychosocial factors. Literature revealed contradictory results concerning the psychosocial correlates of patients' self-management practices. Therefore, this study assessed the psychosocial correlates of diabetes self-management practices among Jordanian diabetic patients.

METHODS

A descriptive, cross-sectional, correlational design was utilized to collect data (conducted in the middle region of Jordan in 2015) from 341 Jordanian outpatients with diabetes using self-reported questionnaires (Social Support Scale, CES-D, and Summary of Diabetes Self-Care Activities) and chart review.

RESULTS

Participants reported practice rate of 2.85/ 7 (SD=1.3), with diet practice the most (M=3.66, SD=1.5) and exercise the least (M=1.53, SD=2.1). Participants reported receiving social support (M=3.23, SD=1.3) less than needed (M=3.39, SD=1.3). High levels of depressive symptoms were reported (M=17.1, SD= 11.4). Diet practices had significant positive correlation with family support attitude (r= .266, P= .000) and negative correlation with depressive symptoms (r= - .114, P= .037). Testing blood sugar significantly correlated with both support needed (r= .144, P= .008) and support received (r= .166, P= .002).

CONCLUSION

Jordanian DM patients were found to practice less than optimum DM self-management practices, and to consider diet practices than exercise practices. This study confirmed that the subcategories of DM self-care management should be considered rather than considering the general plan.

A Reexamination of Nonpsychiatric Medication Adherence in Individuals With Bipolar Disorder and Medical Comorbidities

Individuals with bipolar disorder (BD) have high rates of nonadherence, medical illness, and premature mortality. This analysis reexamined correlates of poor adherence to nonpsychiatric medication in 73 patients with BD and medical comorbidities. The majority was female (74%) and African American (77%) with mean age of 48.08 (SD, 8.04) years, mean BD duration of 28.67 (SD, 10.24) years, mean years of education of 12.01 (SD, 1.87), and mean proportion of days with missed doses in past week of 43.25 (SD, 31.14). Sex, age, education, race, and living alone did not correlate with adherence. More BD medications and more severe psychiatric symptoms correlated with worse adherence. Specifically, poor adherence correlated with the retardation and vegetative factors of Montgomery-Åsberg Depression Rating Scale and affect factor of the Brief Psychiatric Rating Scale. Among poorly adherent patients with BD and medical comorbidities, the number of BD medications, tension/anxiety, and somatic symptoms of depression related to worse nonpsychiatric medication adherence.

Risk Factors for Fatal Hyperglycaemia Confirmed by Forensic Postmortem Examination - A Nationwide Cohort in Sweden

AIMS/HYPOTHESIS

The aim of this study was to identify risk factors associated with confirmed fatal hyperglycaemia, which could predispose potentially preventable deaths in individuals on glucose lowering drugs.

METHODS

A retrospective register-based case-control study conducted on a nationwide cohort with individuals who died due to hyperglycaemia as determined by forensic postmortem examination, in Sweden August 2006 to December 2012. Vitreous glucose was used to diagnose hyperglycaemia postmortem. The forensic findings stored in the National Forensic Medicine Database were linked to nationwide registers. Cases that died due to confirmed hyperglycemia with dispensed glucose lowering drugs were identified and living controls with dispensed glucose lowering drugs were randomly selected in the Swedish prescribed drug register and matched on age and sex. Information on comorbidities, dispensed pharmaceuticals, clinical data and socioeconomic factors were obtained for cases and controls. Adjusted multiple logistic regression models were used to identify risk factors associated with fatal hyperglycaemia.

RESULTS

During the study period 322 individuals, mostly males (79%) with the mean age of 53.9 years (SD.± 14) died due to confirmed hyperglycaemia. Risk factors for fatal hyperglycaemia included; insulin treatment (OR = 4.40; 95%CI,1.96, 9.85), poor glycaemic control (OR = 2.00 95%CI,1.23, 3.27), inadequate refill-adherence before death (OR = 3.87; 95%CI,1.99, 7.53), microvascular disease (OR = 3.26; 95% CI, 1.84, 5.79), psychiatric illness (OR = 2.30; 95% CI,1.32, 4.01), substance abuse (OR = 8.85; 95%CI,2.34, 35.0) and/or living alone (OR = 2.25; 95%CI,1.21, 4.18).

CONCLUSIONS/INTERPRETATION

Our results demonstrate the importance of clinical attention to poor glycaemic control in subjects with psychosocial problems since it may indicate serious non-adherence, which consequently could lead to fatal hyperglycaemia.

Medication Adherence in Patients with Bipolar Disorder: A Comprehensive Review

Poor medication adherence is a pervasive problem that causes disability and suffering as well as extensive financial costs among individuals with bipolar disorder (BD). Barriers to adherence are numerous and cross multiple levels, including factors related to bipolar pathology and those unique to an individual's circumstances. External factors, including treatment setting, healthcare system, and broader health policies, can also affect medication adherence in people with BD. Fortunately, advances in research have suggested avenues for improving adherence. A comprehensive review of adherence-enhancement interventions for the years 2005-2015 is included. Specific bipolar adherence-enhancement approaches that target knowledge gaps, cognitive patterns, specific barriers, and motivation may be helpful, as may approaches that capitalize on technology or novel drug-delivery systems. However, much work remains to optimally facilitate long-term medication adherence in people with BD. For adherence-enhancement approaches to be widely adapted, they need to be easily accessible, affordable, and practical.

Prevalence of medication therapy adherence in the elderly and related factors

RESUMO Objetivo: verificar a prevalência de adesão à terapêutica medicamentosa entre idosos em atendimento ambulatorial e se há associação entre tal adesão e fatores demográficos, socioeconômicos e condições de saúde. Método: estudo exploratório, descritivo, transversal, quantitativo, realizado nos ambulatórios de um hospital universitário no Rio Grande do Sul, Brasil. Participaram 107 idosos, selecionados por conveniência, que responderam a três instrumentos de coleta de dados. Realizou-se análise estatística descritiva e inferencial. Resultados: a prevalência de adesão foi de 86,9%. Houve associação estatisticamente significante entre a variável adesão e receber orientações do médico sobre como fazer uso dos medicamentos e apresentar reação adversa. Conclusão: é importante que os enfermeiros conheçam a prevalência de adesão aos medicamentos e os fatores a ela relacionados para melhor planejamento de intervenções que promovam o sucesso terapêutico.

Type D Personality Predicts Poor Medication Adherence in Chinese Patients with Type 2 Diabetes Mellitus: A Six-Month Follow-Up Study

Background

Type D personality and medication nonadherence have been shown to be associated with poor health outcomes. Type D personality is associated with poor medication adherence in patients with coronary artery disease, myocardial infarction, and heart failure. However, the relationship between type D personality and medication adherence in patients with Type 2 Diabetes Mellitus (T2DM) remains unknown. This study aims to examine whether type D personality was associated with medication adherence in patients with T2DM.

Design and Settings

A follow-up study was conducted in general hospital of the People's Liberation Army in Beijing.

Methods

412 T2DM patients (205 females), who were recruited by circular systematic random sampling, provided demographic and baseline data about medical information and completed measures of Type D personality. Then, 330 patients went on to complete a self-report measure of medication adherence at the sixth month after baseline data collection. Chi-square test, t tests, and hierarchical multiple regression analyses were conducted, as needed.

Results

Patients with type D personality were significantly more likely to have poor medication adherence (p<0.001). Type D personality predicts poor medication adherence before and after controlling for covariates when it was analyzed as a categorical variable. However, the dimensional construct of type D personality was not associated with medication adherence when analyzed as a continuous variable.

Conclusion

Although, as a dimensional construct, type D personality may not reflect the components of the personality associated with poor medication adherence in patients with T2DM, screening for type D personality may help to identify those who are at higher risk of poor medication adherence. Interventions, aiming to improve medication adherence, should be launched for these high-risk patients.

Depressive Symptoms and Social Support in Adolescents With Type 2 Diabetes

INTRODUCTION

Disease management outcomes, depressive symptoms, and levels of social support may differ between early and middle adolescents. The purpose of this study was to explore the relationships between depressive symptomatology, perceived social support, body mass index, hemoglobin A1c (A1C), and months since diagnosis for adolescents with type 2 diabetes ages 13 to 17 years.

METHODS

This cross-sectional, descriptive, correlational study surveyed adolescents at an endocrinology clinic regarding depressive symptoms and perceived social support.

RESULTS

Depressive symptoms were not significantly related to other variables; however, mean depressive symptoms scores were higher among early adolescents. Middle adolescents had lower body mass index percentiles but higher A1C levels. Early adolescents had greater mean scores of social support and reported that this support was more important compared with middle adolescents.

DISCUSSION

The results show that differences exist in perceived social support, depressive symptoms, and A1C levels among early and middle adolescents.

Medication Adherence With Diabetes Medication: A Systematic Review of the Literature

PURPOSE

The primary purpose of this systematic review is to synthesize the evidence regarding risk factors associated with nonadherence to prescribed glucose-lowering agents, the impact of nonadherence on glycemic control and the economics of diabetes care, and the interventions designed to improve adherence.

METHODS

Medline, EMBASE, the Cochrane Collaborative, BIOSIS, and the Health and Psychosocial Instruments databases were searched for studies of medication adherence for the period from May 2007 to December 2014. Inclusion criteria were study design and primary outcome measuring or characterizing adherence. Published evidence was graded according to the American Association of Clinical Endocrinologists protocol for standardized production of clinical practice guidelines.

RESULTS

One hundred ninety-six published articles were reviewed; 98 met inclusion criteria. Factors including age, race, health beliefs, medication cost, co-pays, Medicare Part D coverage gap, insulin use, health literacy, primary nonadherence, and early nonpersistence significantly affect adherence. Higher adherence was associated with improved glycemic control, fewer emergency department visits, decreased hospitalizations, and lower medical costs. Adherence was lower when medications were not tolerated or were taken more than twice daily, with concomitant depression, and with skepticism about the importance of medication. Intervention trials show the use of phone interventions, integrative health coaching, case managers, pharmacists, education, and point-of-care testing improve adherence.

CONCLUSION

Medication adherence remains an important consideration in diabetes care. Health professionals working with individuals with diabetes (eg, diabetes educators) are in a key position to assess risks for nonadherence, to develop strategies to facilitate medication taking, and to provide ongoing support and assessment of adherence at each visit.

Do pre-existing diabetes social support or depressive symptoms influence the effectiveness of a diabetes management intervention?

OBJECTIVE

Examine influences of diabetes-specific social support (D-SS) and depressive symptoms on glycemic control over time, among adults randomized to a diabetes self-management education and support (DSME/S) intervention or usual care.

METHODS

Data were from 108 African-American and Latino participants in a 6-month intervention trial. Multivariable linear regression models assessed associations between baseline D-SS from family and friends and depressive symptoms with changes in HbA1c. We then examined whether baseline D-SS or depression moderated intervention-associated effects on HbA1c.

RESULTS

Higher baseline D-SS was associated with larger improvements in HbA1c (adjusted ΔHbA1c -0.39% for each +1-point D-SS, p=0.02), independent of intervention-associated HbA1c decreases. Baseline depressive symptoms had no significant association with subsequent HbA1c change. Neither D-SS nor depression moderated intervention-associated effects on HbA1c.

CONCLUSIONS AND PRACTICE IMPLICATIONS

Diabetes self-management education and support programs have potential to improve glycemic control for participants starting with varying levels of social support and depressive symptoms. Participants starting with more support for diabetes management from family and friends improved HbA1c significantly more over 6 months than those with less support, independent of additional significant DSME/S intervention-associated HbA1c improvements. Social support from family and friends may improve glycemic control in ways additive to DSME/S.

Gender, Illness-Related Diabetes Social Support, and Glycemic Control Among Middle-Aged and Older Adults

OBJECTIVES

This study examined whether the association between illness-related diabetes social support (IRDSS) and glycemic control among middle-aged and older adults is different for men and women.

METHOD

This cross-sectional analysis included 914 adults with diabetes who completed the Health and Retirement Study's 2003 Mail Survey on Diabetes. IRDSS is a composite score of 8 diabetes self-care measures. Hemoglobin A1c levels were obtained to measure good glycemic control (<8.0%). Gender-stratified multivariate log-binomial regression models were used to estimate prevalence ratios and examine the association between IRDSS and glycemic control after controlling for sociodemographic, lifestyle, and clinical characteristics.

RESULTS

The prevalence of good glycemic control was 48.9% among women and 51.1% among men. Mean composite IRDSS scores did not differ by gender. Among women, composite IRDSS was associated with adequate glycemic control (prevalence ratio: 1.06; 95% confidence interval: 1.02, 1.08), and all individual components of IRDSS, with the exception of keeping appointments, were positively associated with adequate glycemic control. No significant associations were observed in men for composite or individual components of IRDSS.

DISCUSSION

Determining the gender-specific impact derived from IRDSS is a worthwhile approach to highlighting factors that differentially predict optimal glycemic control among middle-aged and older adults.

The role of social support on the relationship of depressive symptoms to medication adherence and self-care activities in adults with type 2 diabetes

AIM

To examine the mediating role of social support on the relationship of depressive symptoms to medication adherence and self-care activities in Korean adults.

BACKGROUND

Recent evidence suggests that higher levels of social support are associated with improved medication adherence and self-care activities; however, the role of social support on the relationship of depressive symptoms to medication adherence and self-care activities is less well understood.

DESIGN

A cross-sectional survey.

METHODS

The data were collected from 311 Korean adults with type 2 diabetes who were taking hypoglycaemic agents in the period 2012-2013. Depressive symptoms, social support, medication adherence and self-care activities were assessed using structured questionnaires. Multiple regression analysis with adjustment for covariates and the Sobel test were used to examine the mediating effect of social support on the relationship of depressive symptoms to medication adherence and self-care activities.

RESULTS

There were statistically significant differences by subgroups with and without depressive symptoms in social support, medication adherence and self-care activities of diet, physical activity and stress management. The Sobel test confirmed that social support mediated the effect of depressive symptoms on medication adherence and self-care activities of diet, physical activity and stress management.

CONCLUSION

The evidence from this study suggests that social support-enhancing interventions that also manage depressive symptoms may be more timely and effective than interventions that target depressive symptoms alone in promoting adherence to medication adherence and self-care activities in this population.

Trends in the prevalence of depression in hospitalized patients with type 2 diabetes in Spain: analysis of hospital discharge data from 2001 to 2011

BACKGROUND

This study aims to describe trends in the prevalence of depression among hospitalized patients with type 2 diabetes in Spain, 2001-2011.

METHODS

We selected patients with a discharge diagnosis of type 2 diabetes using national hospital discharge data. Discharges were grouped by depression status. Prevalence of depression globally and according to primary diagnoses based on the Charlson comorbidity index (CCI) were analyzed. We calculated length of stay (LOHS) and in-hospital mortality (IHM). Multivariate analysis was adjusted by age, year and comorbidity.

RESULTS

From 2001 to 2011, 4,723,338 discharges with type 2 diabetes were identified (4.93% with depression). Prevalence of depression in diabetic patients increased from 3.54% in 2001 to 5.80% in 2011 (p<0.05). The prevalence of depression was significantly higher in women than in men in each year studied and increased from 5.22% in 2001 to 9.24% in 2011 (p<0.01). The highest prevalence was observed in the youngest age group (35-59 years). The median LOHS decreased significantly over this period. Men with diabetes and depression had higher IHM than women in all the years studied (p<0.05). Older age and greater comorbidity were significantly associated with a higher risk of dying, among diabetic patients with concomitant depression.

CONCLUSIONS

Prevalence of depression increased significantly among hospitalized diabetic patients from 2001 to 2011 even if the health profile and LOHS have improved over this period. Programs targeted at preventing depression among persons with diabetes should be reinforced in Spain.

Health professionals' detection of depression and anxiety in their patients with diabetes: The influence of patient, illness and psychological factors

This study examines how often depression and anxiety, in patients with diabetes, are detected by health professionals; and whether detection is influenced by patient characteristics (age, gender), illness factors (duration of illness, diabetes control), and self-reported levels of depression and anxiety. Prevalence rates of clinically significant depression and anxiety were high (57% and 36%, respectively); however, of those identified, only 44 and 36 per cent, respectively, were detected by staff as depressed or anxious. The only significant predictors of detection were severity of depressive and anxious symptoms. Patient and illness characteristics did not influence whether professionals identified emotional problems in their patients.

Stress, depression and medication nonadherence in diabetes: test of the exacerbating and buffering effects of family support

Stressors and depressive symptoms have been associated with medication nonadherence among adults with type 2 diabetes (T2DM). We tested whether these associations were exacerbated by obstructive family behaviors or buffered by supportive family behaviors in a sample of 192 adults with T2DM and low socioeconomic status using unadjusted and adjusted regression models. We found support for the exacerbating hypothesis. Stressors and nonadherence were only associated at higher levels of obstructive family behaviors (interaction AOR = 1.12, p = .002). Similarly, depressive symptoms and nonadherence were only associated at higher levels of obstructive family behaviors (interaction AOR = 3.31, p = .002). When participants reported few obstructive family behaviors, neither stressors nor depressive symptoms were associated with nonadherence. We did not find support for the buffering hypothesis; stressors and depressive symptoms were associated with nonadherence regardless of supportive family behaviors. Nonadherent patients experiencing stressors and/or major depressive symptoms may benefit from interventions that reduce obstructive family behaviors.

Medication adherence in patients with diabetes and dyslipidemia: associated factors and strategies for improvement

Dyslipidemia and diabetes mellitus are commonly coincident, and together contribute to the development of atherosclerotic disease. Medication therapy is the mainstay of treatment for dyslipidemia. Optimal medication therapy for dyslipidemia in patients with diabetes reduces cardiovascular events but necessitates patients take multiple medications. As a result, sub-optimal adherence to medication therapy is common. Factors contributing to medication non-adherence in patients taking multiple medications are complex and can be grouped into patient-, social and economic-, medication therapy-, and health provider and health system-related factors. Strategies aimed at improving medication adherence may target the patient, health care providers, or health systems. Recent data suggest medication non-adherence contributes to racial health disparities. In addition, health literacy, cost-related medication non-adherence, and patient beliefs regarding medication therapy have all been recently described as factors affecting medication adherence. Data from within the last year support an important role for regular contact between patients and health care providers to effectively address these factors. Cost-related barriers to medication adherence have recently been addressed through examination of health system approaches to decreasing cost-related non-adherence.

The Relationship Between Social Support and Adherence of Dietary and Fluids Restrictions among Hemodialysis Patients in Iran

INTRODUCTION

Patient's noncompliance dietary and fluids intake can lead to a build-up of toxic fluids and metabolic end-products in the blood stream which may result in an increased morbidity and premature death. The aim of the study is investigate relationship between the social support and adherence to dietary and fluid restrictions in hemodialysis patients.

METHODS

In this correlational study upon 237 hemodialysis patients, the data was collected with the dialysis diet and fluids non-adherences hemodialysis questionnaire (DDFQ), and the multidimensional scale of perceived Social Support (MSP). Interdialytic weight gain, predialytic serum potassium levels, and predialytic serum phosphate levels was considered as biochemical indicators of dietary and fluid adherence. Data were analyzed by SPSS Ver.11.5.

RESULTS

About 41.1% of patients reported non-adherence to diet and 45.2% of them reported non-adherence to fluid. Frequency of non-adherence to fluid was more common in patients. The highest level of perceived support was the family support 11.19 (1.34). There was a significant relationship between social support and adherence to dietary and fluid restrictions. Noncompliances to dietary and fluid restrictions were related to laboratory results.

CONCLUSION

This way those patients who more supported had more adherences of diet and fluid restrictions and had lower level of phosphorus and potassium in laboratory results. Nurses have the main role to identify different methods providing social support for patients, also to encourage the families to support their hemodialysis patients.

Medication adherence part two: predictors of nonadherence and adherence

PURPOSE

This is the second of a three-part series on medication adherence in which the authors describe the continuum of adherence to nonadherence of medication usage.

DATA SOURCES

Research articles through MEDLINE and PubMed.

CONCLUSIONS

Understanding the magnitude and scope of the problem of medication nonadherence is the first step in reaching better adherence rates (described in Part One of this series). The second step is to recognize the complexities of the reasons for medication adherence/nonadherence (described here). Reasons for nonadherence include beliefs related to the benefits of medication for physical and mental disorders, complexities of systems of health care and treatment plans, and lifestyle and demographic characteristics of patients. The final step is to evaluate each patient for medication adherence, tailoring the plan of care according to patient and system specific barriers (described in Part Three of this series).

IMPLICATIONS FOR PRACTICE

Nurse practitioners must recognize a critical element of thorough care is to assess medication adherence at each patient visit, countering patient and system barriers as indicated. Nurse practitioners also need to adjust assessment and prescribing practices according to the evidence for best practices to improve medication adherence.

Mediators of adherence among adults with comorbid diabetes and depression: The role of self-efficacy and social support

Depression and diabetes have been linked in a variety of ways, and the presence of depression in those with diabetes can negatively affect adherence to care recommendations. A sample of 201 participants with Type 2 Diabetes completed a cross-sectional survey that assessed depressive symptoms, adherence, self-efficacy, social support, and personal characteristics. Multiple regression analysis was used to test whether self-efficacy and social support mediate the relationship between depressive symptoms and adherence. The findings suggest complete mediation via self-efficacy and some types of social support. Intervening to bolster self-efficacy and social support may decrease the negative effect of depression on adherence.

Patient-reported immunosuppression nonadherence 6 to 24 months after liver transplant: association with pretransplant psychosocial factors and perceptions of health status change

CONTEXT

Knowing the prevalence and risk factors of immunosuppression nonadherence after liver transplant may help guide intervention development.

OBJECTIVE

To examine whether sociodemographic and psychosocial variables before liver transplant are predictive of nonadherence after liver transplant.

DESIGN

Structured telephone interviews were used to collect self-report immunosuppression adherence and health status information. Medical record reviews were then completed to retrospectively examine the relationship between immunosuppression adherence and pretransplant variables, including sociodemographic and medical characteristics and the presence or absence of 6 hypothesized psychosocial risk factors.

SETTING AND PARTICIPANTS

A nonprobability sample of 236 adults 6 to 24 months after liver transplant at 2 centers completed structured telephone interviews.

MAIN OUTCOME MEASURE

Immunosuppressant medication nonadherence, categorized as missed-dose and altered-dose "adherent" or "nonadherent" during the past 6 months; immunosuppression medication holidays.

RESULTS

Eighty-two patients (35%) were missed-dose nonadherent and 34 patients (14%) were altered-dose nonadherent. Seventy-one patients (30%) reported 1 or more 24-hour immunosuppression holidays in the past 6 months. Missed-dose nonadherence was predicted by male sex (odds ratio, 2.46; P= .01), longer time since liver transplant (odds ratio, 1.08; P= .01), pretransplant mood disorder (odds ratio, 2.52; P=.004), and pretransplant social support instability (odds ratio, 2.25; P=.03). Altered-dose nonadherence was predicted by pretransplant mood disorder (odds ratio, 2.15; P= .04) and pretransplant social support instability (odds ratio, 1.89; P= .03).

CONCLUSION

Rates of immunosuppressant nonadherence and drug holidays in the first 2 years after liver transplant are unacceptably high. Pretransplant mood disorder and social support instability increase the risk of nonadherence, and interventions should target these modifiable risk factors.

Technology-facilitated depression care management among predominantly Latino diabetes patients within a public safety net care system: comparative effectiveness trial design

Health disparities in minority populations are well recognized. Hispanics and Latinos constitute the largest ethnic minority group in the United States; a significant proportion receives their care via a safety net. The prevalence of diabetes mellitus and comorbid depression is high among this group, but the uptake of evidence-based collaborative depression care management has been suboptimal. The study design and baseline characteristics of the enrolled sample in the Diabetes-Depression Care-management Adoption Trial (DCAT) establishes a quasi-experimental comparative effectiveness research clinical trial aimed at accelerating the adoption of collaborative depression care in safety net clinics. The study was conducted in collaboration with the Los Angeles County Department of Health Services at eight county-operated clinics. DCAT has enrolled 1406 low-income, predominantly Hispanic/Latino patients with diabetes to test a translational model of depression care management. This three-group study compares usual care with a collaborative care team support model and a technology-facilitated depression care model that provides automated telephonic depression screening and monitoring tailored to patient conditions and preferences. Call results are integrated into a diabetes disease management registry that delivers provider notifications, generates tasks, and issues critical alerts. All subjects receive comprehensive assessments at baseline, 6, 12, and 18 months by independent English-Spanish bilingual interviewers. Study outcomes include depression outcomes, treatment adherence, satisfaction, acceptance of assessment and monitoring technology, social and economic stress reduction, diabetes self-care management, health care utilization, and care management model cost and cost-effectiveness comparisons. DCAT's goal is to optimize depression screening, treatment, follow-up, outcomes, and cost savings to reduce health disparities.

Understanding social forces involved in diabetes outcomes: a systems science approach to quality-of-life research

PURPOSE

The field of quality-of-life (QOL) research would benefit from learning about and integrating systems science approaches that model how social forces interact dynamically with health and affect the course of chronic illnesses. Our purpose is to describe the systems science mindset and to illustrate the utility of a system dynamics approach to promoting QOL research in chronic disease, using diabetes as an example.

METHODS

We build a series of causal loop diagrams incrementally, introducing new variables and their dynamic relationships at each stage.

RESULTS

These causal loop diagrams demonstrate how a common set of relationships among these variables can generate different disease and QOL trajectories for people with diabetes and also lead to a consideration of non-clinical (psychosocial and behavioral) factors that can have implications for program design and policy formulation.

CONCLUSIONS

The policy implications of the causal loop diagrams are discussed, and empirical next steps to validate the diagrams and quantify the relationships are described.

Predictors of discordance between physicians' and patients' appraisals of health-related quality of life in atrial fibrillation patients: findings from the Angiotensin II Antagonist in Paroxysmal Atrial Fibrillation Trial

BACKGROUND

Assessing health status is fundamental when weighing treatment options for atrial fibrillation (AF) patients. Most health-related quality-of-life (HRQoL) data stem from self-ratings, whereas treatment decisions are based upon physicians' estimations.

METHODS

The degree of congruence between patients' and physicians' assessments of the patients' subjective health status was used as an indicator of good communication and shared understanding. A total of 334 patients with paroxysmal AF without significant concomitant heart diseases and their physicians were asked in a prospective blinded study to rate the patients' HRQoL. The Short Form-12 was used for self-ratings; the Short Form-8, for physician ratings. Using baseline data, intraclass correlations and Bland-Altman graphs were used to assess concordance; cross-sectional multivariate regression analyses assessed patient characteristics associated with discordance.

RESULTS

On average, physicians rated their patients' HRQoL higher than patients did (∆mental component score [MCS] = -3.23, P < .0001, and ∆physical component score [PCS] = -2.21, P = .0001). Intraclass correlations and Bland-Altman graphs showed unsatisfactory concordance. Physical inactivity (∆ = 4.84) had the greatest bivariate effect on PCS discordance, and major depressive disorder (∆ = 7.01), on MCS discordance. In the regression analyses, depression was significantly associated with discord in the MCS (β = -0.94, P < .001) and the PCS (β = -0.37, P < .002). Sleeping disorder was associated with discord in the MCS (β = -4.13, P < .002), and physical inactivity, with discord in the PCS (β = -1.47, P = .006).

CONCLUSIONS

In patients with AF, even in the absence of significant concomitant cardiac diseases, depression, followed by sleeping disorder and physical inactivity, was significantly associated with discordance. These findings should be considered by physicians when choosing treatment strategies.

Effect of comorbid depression on quality of life in adults with Type 2 diabetes

This review outlines the effect of depression on quality of life (QoL) in patients with Type 2 diabetes mellitus (T2DM). The prevalence and medical, psychological and financial burden of T2DM in the USA are briefly discussed, similar to the findings related to patients living with T2DM and depression in terms of health-related QoL. Recommendations for future research include studying mechanisms by which depression affects the QoL of T2DM patients, outlining effects of positive emotions on managing consequences of distress and depression in these patients, and developing interventions to address both depression and diabetes that minimize the treatment burden and costs for patients.