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

[Association between therapeutic adherence and phases of grief in patients with type 2 diabetes mellitus]

OBJECTIVE

To evaluate the association between therapeutic adherence and the phases of grief in patients with type 2 diabetes mellitus.

DESIGN

Cross-sectional observational study. SITE: Family Medicine Unit No. 53 of the Mexican Institute of Social Security in the State of Guanajuato.

PARTICIPANTS

A total of 354 patients with type 2 diabetes mellitus were recruited, of whom 236 corresponded to the group without therapeutic adherence and 118 to the group with therapeutic adherence.

INTERVENTIONS

Two structured surveys were administered to both groups.

MAIN MEASUREMENTS

The Morisky 8 scale was used to measure therapeutic adherence and the phases of grief scale (EFD-66) to measure grief due to loss of health.

RESULTS

The median denial phase and depression phase scores were higher in the nonadherence group than in the adherence group (p=.000). The median negotiation phase and acceptance phase score was higher in the adherence group than in the nonadherence group (p=.000). Multivariate analysis identifies that denial is the main factor associated with non-adherence (OR=1.25; 95% CI: 1.14-1.37); while negotiation (OR=0.88; 95% CI: 0.82-0.94) and acceptance are associated with adherence (OR=0.79; 95% CI: 0.75-0.83).

CONCLUSIONS

There is an association between therapeutic adherence and phases of grief.

Food insecurity and medication restricting behavior among persons with diabetes in the United States

BACKGROUND

Medication restricting behaviours are common among persons with diabetes increasing risk for poor health outcomes. Persons with diabetes are more likely to experience food insecurity than persons without diabetes.

AIM

This study aimed to assess the relationship between food insecurity and medication restricting behaviour among persons with diabetes in the United States.

METHODS

Data from the 2019 National Health Interview Survey (NHIS) data conducted in the United States was used for this analysis. Medication restricting behaviour was assessed by questions asking whether four restricting behaviours were present (skipped medication, took less medication, delayed filling a prescription and/or took less medication due to cost). Food insecurity status was obtained through a 10-item scale and participants were categorized as either food secure, low food security, or very low food security. Poisson regression evaluated the relationship between medication restricting behaviour and food insecurity controlling for confounders.

RESULTS

Participants with very low food security had a significantly higher mean number of medication restricting behaviours than participants who were food secure (adjusted mean ratio (AMR) = 4.01; 95% confidence interval (CI) = (3.09, 5.21)). Similarly, participants with low food security had a significantly higher mean ratio than participants who were food secure (AMR = 3.76; 95% CI = (2.86. 4.94).

CONCLUSION

Persons with diabetes who have low or very low food security are at an increased risk for engaging in medication restricting behaviours.

Opportunities to overcome underutilization of enhanced insulin delivery technologies in people with type 2 diabetes: a narrative review

Use of innovative technologies such as continuous glucose monitoring (CGM) and insulin delivery systems have been shown to be safe and effective in helping patients with diabetes achieve significantly improved glycemic outcomes compared to their previous therapies. However, these technologies are underutilized in many primary care practices. This narrative review discusses some of the clinical and economic benefits of tubeless insulin delivery devices and discusses how this technology can overcome the main obstacles inherent to use of conventional insulin delivery devices.

Association of Anxiety and Depressive Symptoms and Treatment Adherence Among Patients With Type 2 Diabetes Mellitus in Jazan, Saudi Arabia: A Cross-Sectional Study

BACKGROUND

Diabetes mellitus is a serious public health concern. It is associated with many psychological problems, such as depression, anxiety, and eating disorders. These co-morbidities are associated with improper adherence to treatment, self-care, poor glycemic control, more complications, and worse outcomes.

METHODS

This study aimed to measure the level of medication adherence among type 2 diabetics in Jazan, Saudi Arabia, and to find its association with their psychological status (specifically, depression and anxiety). A cross-sectional descriptive design was used among adults with type 2 diabetes at the Diabetes and Endocrinology Center in Jazan, Saudi Arabia. The estimated sample size was 480 patients. The General Medication Adherence Scale and Patient Health Questionnaire-4 (PHQ-4) were used as tools to achieve the study objectives.

RESULTS

A total of 449 diabetic patients completed the survey (93.5% response rate). Patients with poor, low, and partial adherence account for 337 (75%) of patients and only 112 (25%) have good and high medication adherence. Employment and duration of illness were highly significant with a positive relationship to treatment adherence (p = 0.010 and 0.000, respectively). On the other hand, age and disease duration had a significant relationship with psychological disorders (p = 0.029 and 0.002, respectively). Of the patients, 64 (14.3%) had high scores on the PHQ-4, with depressive symptoms in 46 (10.24%) and anxiety symptoms in 75 (16.7%). Correlation analysis reveals that there is a highly significant negative correlation between psychological disorders and adherence to medications (r = -0.288, p = 0.000).

CONCLUSION

A negative correlation between psychological disorders and adherence to medications was found. The findings indicate the importance of psychological support for diabetic patients for better treatment adherence.

Social determinants of health and diabetes: using a nationally representative sample to determine which social determinant of health model best predicts diabetes risk

OBJECTIVES

Social determinants of health (SDOH) research demonstrates poverty, access to healthcare, discrimination, and environmental factors influence health outcomes. Several models are commonly used to assess SDOH, yet there is limited understanding of how these models differ regarding their ability to predict the influence of social determinants on diabetes risk. This study compares the utility of four SDOH models for predicting diabetes disparities.

STUDY DESIGN

We utilized The National Longitudinal Study of Adolescent to Adulthood (Add Health) to compare SDOH models and their ability to predict risk of diabetes and obesity.

METHODS

Previous literature has identified the World Health Organization (WHO), Healthy People, County Health Rankings, and Kaiser Family Foundation as the conventional SDOH models. We used these models to operationalize SDOH using the Add Health dataset. Add Health data were used to perform logistic regressions for HbA1c and linear regressions for body mass index (BMI).

RESULTS

The Kaiser model accounted for the largest proportion of variance (19%) in BMI. Race/ethnicity was a consistent factor predicting BMI across models. Regarding HbA1c, the Kaiser model also accounted for the largest proportion of variance (17%). Race/ethnicity and wealth was a consistent factor predicting HbA1c across models.

CONCLUSION

Policy and practice interventions should consider these factors when screening for and addressing the effects of SDOH on diabetes risk. Specific SDOH models can be constructed for diabetes based on which determinants have the largest predictive value.

Routine health data describe adherence and persistence patterns for oral diabetes medication for a virtual cohort in the Khayelitsha sub-district of Cape Town, South Africa

Type 2 diabetes mellitus (T2DM) is managed with combined lifestyle modifications and antidiabetic drugs, but people on treatment often fail to reach glycaemic control. Adherence is important for achieving optimal glycaemic control, and management of diabetes with drugs is a lifelong process, so understanding adherence through analysis of longitudinal medications data is important. Using retrospective routine health data and metformin dispensing records as a proxy for medication use, we describe longitudinal persistence and adherence to oral diabetes medication in a virtual cohort of 10541 people with diabetes (PLWD) in Khayelitsha subdistrict, Cape Town. Adherence was measured in 120-day sliding windows over two years and used to estimate metformin adherence trajectories. Multinomial logistic regression identified factors influencing these trajectories. Analysis of pharmacy dispensing records showed varying medication refill patterns: while some PLWD refilled prescriptions consistently, others had treatment gaps with periods of non-persistence and multiple treatment episodes-from one to five per individual across two years. There was a general trend of decreasing adherence over time across all sliding windows in the two-year period, with only 25% of the study population achieved medication adherence (> = 80% adherence) after two years. Four adherence trajectories; 'low adherence gradual decline (A), 'high adherence rapid decline' (B), 'low adherence gradual increase (C) and 'adherent' (D) were identified. Only trajectory D represented participants who were adherent at treatment start and remained adherent after two years. Taking HIV antiretroviral treatment before or concurrently with diabetes treatment and taking metformin in combination with sulphonylurea and/or insulin were associated with the long-term adherence (trajectory D). Routine data shows real life medication implementation patterns which might not be seen under controlled study conditions. This study illustrates the utility of these data in describing longitudinal adherence patterns at both an individual and population level.

Assessment of Gastrointestinal Adverse Effects during the First Six Months of "Biktarvy" Antiretroviral Therapy: Age-Related Patterns and Their Relation with Changes of 5 kg Weight Loss/Gain in the Initial Treatment Period

BACKGROUND

The battle against HIV has led to the development of antiretroviral therapy (ART), including BIKTARVY®, which combines three potent agents. However, concerns about gastrointestinal side effects during the early phases of treatment have emerged, potentially impacting patient adherence and outcomes.

MATERIALS AND METHODS

This retrospective cohort study, conducted over four years in Romania, examined 222 patients initiated on BIKTARVY® therapy. Data were collected from electronic medical records, and stringent inclusion and exclusion criteria were applied to ensure data accuracy and relevance. Statistical analysis was performed to assess age-related patterns in gastrointestinal symptoms and their relation with significant weight loss.

RESULTS

This study revealed significant differences in the prevalence of gastrointestinal symptoms between age groups, with older patients experiencing more symptoms. Notably, diarrhea did not exhibit a statistically significant age-related difference. Furthermore, weight loss exceeding 5 kg was more common in older patients. Of the patients who continued BIKTARVY® therapy, 84.9% showed an increase in CD4 cell counts, and most expressed satisfaction with treatment.

CONCLUSION

Understanding age-related patterns and gastrointestinal side effects of BIKTARVY® is crucial for optimizing HIV patient care. Future research should aim to corroborate and expand upon these findings, potentially leading to improved therapeutic approaches in the ongoing fight against HIV.

Barriers and enablers to maintaining self-management behaviours after attending a self-management support intervention for type 2 diabetes: a systematic review and qualitative evidence synthesis

Attendance at type 2 diabetes self-management interventions is associated with improved outcomes. However, difficulties maintaining self-management behaviours attenuate long-term impact. This review aimed to identify and synthesise qualitative research on barriers and enablers to maintaining type 2 diabetes self-management behaviours after attending a self-management intervention. Eight electronic databases were searched to identify relevant peer-reviewed and grey literature studies. Data were synthesised using the best-fit framework synthesis approach guided by the themes and constructs identified by Kwasnicka et al. (2016) on their review of theoretical explanations for behaviour change maintenance. Study methodological limitations and confidence in findings were assessed using an adapted version of the Critical Appraisal Skills Programme (CASP) tool and the GRADE-CERQual approach respectively. Eleven articles reporting on 10 studies were included. Twenty-eight barriers and enablers were coded to the a priori themes. Barriers were commonly coded to the themes self-regulation, resources, and environmental and social influences. Enablers were commonly coded to the themes habits and maintenance motives. Methodological limitations of included studies varied, leading to moderate or low confidence in most findings. Interventions may improve behavioural maintenance by providing post-intervention support, promoting positive behaviour change motives, self-regulation, habit formation, and facilitating access to resources and support.

Therapeutic Inertia and Delays in Insulin Intensification in Type 2 Diabetes: A Literature Review

Background

Therapeutic inertia leading to delays in insulin initiation or intensification is a major contributor to lack of optimal diabetes care. This report reviews the literature summarizing data on therapeutic inertia and delays in insulin intensification in the management of type 2 diabetes.

Methods

A literature search was conducted of the Allied & Complementary Medicine, BIOSIS Previews, Embase, EMCare, International Pharmaceutical Abstracts, MEDLINE, and ToxFile databases for clinical studies, observational research, and meta-analyses from 2012 to 2022 using search terms for type 2 diabetes and delay in initiating/intensifying insulin. Twenty-two studies met inclusion criteria.

Results

Time until insulin initiation among patients on two to three antihyperglycemic agents was at least 5 years, and mean A1C ranged from 8.7 to 9.8%. Early insulin intensification was linked with reduced A1C by 1.4%, reduction of severe hypoglycemic events from 4 to <1 per 100 person-years, and diminution in risk of heart failure (HF) by 18%, myocardial infarction (MI) by 23%, and stroke by 28%. In contrast, delayed insulin intensification was associated with increased risk of HF (64%), MI (67%), and stroke (51%) and a higher incidence of diabetic retinopathy. In the views of both patients and providers, hypoglycemia was identified as a primary driver of therapeutic inertia; 75.5% of physicians reported that they would treat more aggressively if not for concerns about hypoglycemia.

Conclusion

Long delays before insulin initiation and intensification in clinically eligible patients are largely driven by concerns over hypoglycemia. New diabetes technology that provides continuous glucose monitoring may reduce occurrences of hypoglycemia and help overcome therapeutic inertia associated with insulin initiation and intensification.

Treatment adherence and associated factors in older people with type 2 diabetes: A qualitative study

PATIENT CONTRIBUTION

Older people with T2D participated in this study to achieve the objective of the study.

AIM

Treatment adherence is an important indicator for evaluating successful diabetes control and overall disease management. It is necessary to identify the hidden themes of the concept of treatment adherence and related factors based on the experiences of older people with T2D. Therefore, the present study was conducted to identify the concept of treatment adherence and its associated factors in older people with type 2 diabetes (T2D).

DESIGN

The study was conducted as a qualitative study using a content analysis approach.

METHODS

Semi-structured interviews were conducted with 20 older people with T2D, between May and September 2021. Data were organized using MAXQDA-10 software and analysed using the Elo and Kyngas qualitative content analysis method. We followed the COREQ Checklist to ensure rigour in our study.

RESULTS

Three themes emerged from the analysis of the data, including: 'Health literacy', 'Support umbrella' and 'responsibility'.

Psychological Support Strategies for Adults With Type 2 Diabetes in a Very Low-Carbohydrate Web-Based Program: Randomized Controlled Trial

BACKGROUND

A very low-carbohydrate (VLC) nutritional strategy may improve glycemic control and weight loss in adults with type 2 diabetes (T2D). However, the supplementary behavioral strategies that might be able to improve outcomes using this nutritional strategy are uncertain.

OBJECTIVE

This study aims to compare the impact of adding 3 different supplementary behavioral strategies to a web-based VLC diet intervention. To our knowledge, this is the first trial to randomize participants to different frequencies of dietary self-monitoring.

METHODS

The study included 112 overweight adults with T2D (hemoglobin A1c ≥6.5%) taking no antiglycemic medications or only metformin. They received a remotely delivered 12-month VLC diet intervention. Participants were randomly assigned through a full factorial 2×2×2 design to supplementary strategies: either daily or monthly dietary self-monitoring, either mindful eating training or not, and either positive affect skills training or not. Our research goal was to determine whether 3 different supplemental strategies had at least a medium effect size (Cohen d=0.5).

RESULTS

Overall, the VLC intervention led to statistically significant improvements in glycemic control (-0.70%, 95% CI -1.04% to -0.35%; P<.001), weight loss (-6.82%, 95% CI -8.57% to -5.08%; P<.001), and depressive symptom severity (Cohen d -0.67, 95% CI -0.92 to -0.41; P<.001). Furthermore, 30% (25/83) of the participants taking metformin at baseline reduced or discontinued their metformin. Only 1 Cohen d point estimate reached 0.5; daily (vs monthly) dietary self-monitoring had a worse impact on depressive symptoms severity (Cohen d=0.47, 95% CI -0.02 to 0.95; P=.06). None of the strategies had a statistically significant effect on outcomes. For changes in our primary outcome, hemoglobin A1c, the daily (vs monthly) dietary self-monitoring impact was 0.42% (95% CI -0.28% to 1.12%); for mindful eating, it was -0.47% (95% CI -1.15% to 0.22%); and for positive affect, it was 0.12% (95% CI -0.57% to 0.82%). Other results for daily (vs monthly) dietary self-monitoring were mixed, suggesting an increase in weight (0.98%) and depressive symptoms (Cohen d=0.47), less intervention satisfaction (Cohen d=-0.20), more sessions viewed (3.02), and greater dietary adherence (Cohen d=0.24). For mindful eating, the results suggested a benefit for dietary adherence (Cohen d=0.24) and intervention satisfaction (Cohen d=0.30). For positive affect, the results suggested a benefit for depressive symptoms (Cohen d=-0.32), the number of sessions viewed (3.68), dietary adherence (Cohen d=0.16), and intervention satisfaction (Cohen d=0.25).

CONCLUSIONS

Overall, our results support the use of a VLC diet intervention in adults with T2D. The addition of monthly (not daily) dietary self-monitoring, mindful eating, and positive affect skills training did not show a definitive benefit, but it is worth further testing.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03037528; https://clinicaltrials.gov/ct2/show/NCT03037528.

How to optimize the adherence to a guideline-directed medical therapy in the secondary prevention of cardiovascular diseases: a clinical consensus statement from the European Association of Preventive Cardiology

A key factor to successful secondary prevention of cardiovascular disease (CVD) is optimal patient adherence to treatment. However, unsatisfactory rates of adherence to treatment for CVD risk factors and CVD have been observed consistently over the last few decades. Hence, achieving optimal adherence to lifestyle measures and guideline-directed medical therapy in secondary prevention and rehabilitation is a great challenge to many healthcare professionals. Therefore, in this European Association of Preventive Cardiology clinical consensus document, a modern reappraisal of the adherence to optimal treatment is provided, together with simple, practical, and feasible suggestions to achieve this goal in the clinical setting, focusing on evidence-based concepts.

Barriers to Treatment Adherence Among Older Adults With Type 2 Diabetes: A Qualitative Study

The current qualitative study aimed to determine the barriers to treatment adherence among older adults with type 2 diabetes (T2D). This study was performed using a content analysis approach. Semi-structured interviews were conducted with 25 older adults with T2D between May and September 2021. Data were organized using MAXQDA-10 software and analyzed using the Elo and Kyngäs qualitative content analysis method. Three themes emerged from the analysis: Patient-Specific Barriers, Health Care Provider- and Heath Care System-Specific Barriers, and Social-Specific Barriers. Results of this study can be used to develop targeted interventions to promote and facilitate treatment adherence among older adults with T2D. [Journal of Gerontological Nursing, 49(1), 42-49.].

Adherence to Medication in Older Adults with Type 2 Diabetes Living in Lubuskie Voivodeship in Poland: Association with Frailty Syndrome

Purpose: Diabetic patients aged 65 years or older are more likely to be frail than non-diabetic older adults. Adherence to therapeutic recommendations in the elderly suffering from diabetes and co-existent frailty syndrome may prevent complications such as micro- or macroangiopathy, as well as significantly affect prevention and reversibility of frailty. The study aimed at assessing the impact of frailty syndrome (FS) on the level of adherence to medication in elderly patients with type 2 diabetes (DM2). Patients and Methods: The research was carried out among 175 DM2 patients (87; 49.71% women and 88; 50.29% men) whose average age amounted to 70.25 ± 6.7. Standardized research instruments included Tilburg frailty indicator (TFI) to assess FS and adherence in chronic disease scale questionnaire (ACDS) to measure adherence to medications. Results: The group of 101 (57.71%) patients displayed medium, 39 (22.29%)—low, and 35 (20.00%)—high adherence. As many as 140 of them (80.00%) were diagnosed with frailty syndrome. The median of the average result of TFI was significantly higher in the low adherence group (p ˂ 0.001) (Mdn = 9, Q1–Q3; 7–10 pt.) than in the medium (Mdn = 6, Q1–Q3; 5–9 pt.) or high adherence (Mdn = 6.00, Q1–Q3; 4.5–8 pt.) ones. The independent predictors of the chance to be qualified to the non-adherence group included three indicators: TFI (OR 1.558, 95% CI 1.245–1.95), male gender (OR 2.954, 95% CI 1.044–8.353), and the number of all medications taken daily (each extra pill decreased the chance of being qualified to the non-adherence group by 15.3% (95% CI 0.728–0.954). Conclusion: Frailty syndrome in elderly DM2 patients influenced medical adherence in this group. The low adhesion group had higher overall TFI scores and separately higher scores in the physical and psychological domains compared to the medium and high adhesion groups.

Adherence to Antidiabetic Medications among Women with Gestational Diabetes

BACKGROUND

Optimal adherence to prescribed medications in women with gestational diabetes is relevant for perinatal outcomes.

OBJECTIVE

To summarize available information on the prevalence and factors contributing to medication adherence in women with gestational diabetes from the biological and psychosocial perspectives.

METHODS

A literature search on adherence in gestational diabetes was conducted in PubMed/MEDLINE, CINAHL, Scopus, and the Directory of Open Access Journals for studies published on the topic. The Arksey and O'Malley framework for scoping reviews was used to explore and summarize the evidence.

RESULTS

A total of 2395 studies were retrieved of which 13 fully met the eligibility criteria. The studies were reported in Zimbabwe (n = 5), Iran (n = 1), Mexico (n = 1), South India (n = 1), the United States of America (n = 4), and one multinational study covering Australia, Europe, North and South America. The main types of antidiabetic medications used were insulin (n = 6), metformin (n = 4), and glyburide (n = 2). The prevalence of adherence ranged from 35.6% to 97%, with the assessment tool being self-report measures (n = 8). The main factors associated with nonadherence included worsening pregnancy symptoms, side effects of medications, perceived risks, mental health symptoms, poor social support, and socioeconomic status. Recommendations that evolved from the studies to improve adherence included education, counselling, improved support networks, and social interventions, while the main reported interventional study employed continuous education on the impact of adherence on perinatal outcomes.

CONCLUSION

Medication nonadherence in gestational diabetes seems to be influenced by multiple factors with some educational interventions positively impacting adherence behaviours. Thus, future research in women with gestational diabetes could consider interventions from a multifactorial perspective to improve therapeutic outcomes.