Understanding adherence to medications in type 2 diabetes care and clinical trials to overcome barriers: a narrative review

Bioequivalence Studies of New Generic Formulations of Vildagliptin and Fixed-Drug Combination of Vildagliptin and Metformin Versus Respective Originator Products in Healthy Volunteers

INTRODUCTION

Vildagliptin and metformin are two well-established oral antidiabetics with a complementary mechanism of action. Two new generic products, vildagliptin and its fixed-drug combination (FDC) with metformin, were tested for bioequivalence versus the approved originator reference products (Galvus® and Eucreas®).

METHODS

Three randomized studies with two-treatment, two-period, two-sequence crossover design were conducted in healthy adults. One study evaluated vildagliptin 50 mg tablets as single dose under fasting conditions. Vildagliptin-metformin FDC tablet strengths of 50/850 mg and 50/1000 mg were evaluated in separate studies as single dose under fed conditions, given 30 min after a standardized high-fat, high-calorie breakfast following 10 h overnight fasting. Blood samples for analysis were collected until 24 h after dosing in each study period. Bioequivalence between test (T) and reference (R) products required 90% confidence interval (CIs) for the geometric least square (LS) mean T/R ratio to be within 80-125% for the pharmacokinetic parameters, maximum plasma concentration (C_max), and area under the curve (AUC_0-t).

RESULTS

The 90% CIs of geometric LS means of T/R ratio for C_max and AUC_0-t with vildagliptin tablets of 50 mg were 92.22-103.94% and 99.00-102.66%, respectively; corresponding results with FDC tablets for 50/850 mg tablets were 94.81-115.41% and 95.28-106.00% for vildagliptin and 90.87-101.18% and 90.56-100.09% for metformin; for 50/1000 mg tablets C_max and AUC_0-t were 105.56-122.30% and 98.30-107.55%, respectively, for vildagliptin and 92.14-103.73% and 94.60-101.81%, respectively, for metformin. Other parameters such as AUC_0-∞, time to maximum concentration (T_max), and terminal half-life (t_1/2) were comparable between test and reference products. Adverse events (AEs), mainly vomiting, were reported without relevant difference between test and reference products in each study. AEs were generally mild and transient. No severe or serious AEs occurred.

CONCLUSIONS

The new generic drug products of vildagliptin and the FDCs of vildagliptin and metformin demonstrated bioequivalence to the approved originator products and are therefore expected to provide similar therapeutic effects.

Adherence to Hypoglycemic Agents in Type 2 Diabetes Mellitus: A Cross-Sectional Study

Aims

This study aimed to elucidate the level and determinants of adherence to oral hypoglycemic agents (OHAs) among type 2 diabetes mellitus patients and to employ patient interview as a prediction tool for suboptimal adherence, for preventing and reducing complications.

Methods

In this analytical, cross-sectional study, 383 patients with type 2 diabetes mellitus were interviewed using an electronic, self-constructed, validated questionnaire. Patients were recruited from all Ministry of Health centers across Jeddah, through stratified random sampling. Univariate and multivariate logistic regression analyses were used to evaluate the significance of the results.

Results

Suboptimal levels of adherence were reported by 74.9% of the participants. Predictors of suboptimal adherence are as follows: younger age (P = 0.003), employment [odd ratio (OR), 1.7; 95% confidence interval (CI), 1.1-3.0], unavailability of reminder (OR, 1.9; 95% CI, 1.1-3.1), and non-commitment to appointments (OR, 6.1; 95% CI, 1.1-3.1).

Conclusion

The level of adherence to OHAs was found to be suboptimal. Encountering any of the predictors of suboptimal adherence while interviewing the patient should prompt extra vigilance in the approach. Furthermore, utilizing methods to augment adherence might be prudent.

The role of patient preferences in adherence to treatment in chronic disease: a narrative review

Adherence to prescribed medication is important to the management of all diseases, especially those of chronic nature. Drug effectiveness is substantially compromised by therapy nonadherence. We reviewed the available evidences on the impact of patient preferences for therapy on adherence to a prescribed treatment in chronic diseases requiring long-term treatment. A search on PubMed retrieved 699 publications, leading to a selection of 12 publications: 6 on osteoporosis, 2 on moderate-to-severe asthma, 1 on type 1 diabetes, 1 on type 2 diabetes, 1 on kidney transplantation, and 1 on atrial fibrillation. Overall, 8 studies found a positive association between patient preference and adherence to therapy, while the others found no association. In general, overall adherence was considered to be high in the published studies. The reasons for a positive association included reduced dosing frequency, route of administration, lower costs, and favorable safety profile, which is related to the diverse nature of the pathology and its type and duration of treatment. A literature review suggests that achieving good adherence and persistence to therapy requires evaluation of patient preferences. In a period of increasingly limited resources, more effort is warranted to promote better adherence to therapy, especially when patients must self-manage their disease in the long term. Our results further highlight that insufficient attention has been given to the relationship between patient preference and adherence and point out the complex nature of adherence and the need for adequate patient education. More efforts are also needed to better understand the entity of cost savings for payers for specific treatments and the link with patient preference.

Factors influencing diabetes self-management in adults: an umbrella review of systematic reviews

OBJECTIVE

The objective of this review was to identify and describe the factors influencing diabetes self-management in adults by summarizing the available evidence concerning their types, categories, and relative importance.

INTRODUCTION

A wide range of factors, acting simultaneously, influence diabetes self-management and interfere with its actual application by patients. There is a variety of systematic reviews of these factors; however, a more thorough examination of their influences was lacking.

INCLUSION CRITERIA

Systematic reviews of qualitative or quantitative literature focusing on factors influencing adult diabetes self-management in general or on individual behaviors (ie, management of oral antidiabetic medication and insulin injections, self-monitoring of blood glucose, foot care, healthy eating, regular exercise, and smoking cessation) will be included.

METHODS

We performed an extensive search of 11 bibliographic databases, including gray literature, up to June 2019. Quantitative and qualitative findings were summarized separately and labeled according to their types (eg, facilitator/barrier, strength and direction of association), categories (eg, demographic, social), and frequency of occurrence.

RESULTS

We identified 51 types of factors within 114 systematic reviews, which mostly addressed medication-taking behavior. Thirty-two (62.7%) factors were reported in both qualitative and quantitative literature. The predominant influences were psychological factors and behavioral attributes/skills factors. The most frequently reported facilitators of diabetes self-management were motivation to diabetes self-management, a favorable attitude to diabetes self-management, knowledge about the disease, medication and behaviors associated with diabetes self-management, skills, and self-efficacy/perceived behavioral control. The predominant barriers were the presence of depression, and polypharmacy or drug regimen complexity. The demographic factor of female sex was frequently reported for its negative influence on diabetes self-management, whereas older age was a positive factor. The social/cultural and physical environment were the least-studied categories. Other factors such as social support from family, friends, or networks; interventions led by health professionals; and a strong community environment with good social services favoring diabetes self-management were reported as major facilitators of diabetes self-management.

CONCLUSIONS

Essential components of interventions to promote effective diabetes self-management should aim to help adults manage the effects of specific factors related to their psychological and practical self-management experience. Screening for depression, in particular, should become an integral part of the support for adult diabetes self-management, as depression is a particular obstacle to the effectiveness of diabetes self-management. Future studies should more deeply examine the influence of factors identified in the sociocultural and physical environment categories. Research should properly consider and invest efforts in strengthening social support and innovative community care approaches, including pharmacist- and nurse-led care models for encouraging and improving adult diabetes self-management. Finally, researchers should examine non-modifiable factors - age, sex, or socioeconomic status - in the light of factors from other categories in order to deepen understanding of their real-world patterns of action on adult diabetes self-management.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42018084665.

Potential Benefits of the Self-Administration of Subcutaneous Methotrexate with Autoinjector Devices for Patients: A Review

The role of patient adherence in improving the efficacy of any treatment is widely accepted, as well as its impact in optimizing the use of healthcare resources and associated costs. Adherence is particularly affected in chronic conditions, such as rheumatoid arthritis (RA), requiring long-term therapies and a commitment of the patient to manage his/her disease. Methotrexate (MTX) is one of the mainstays of treatment for several immune-mediated inflammatory joint and skin diseases, especially RA. The use of parenteral MTX, particularly when administered as a subcutaneous (SC) injection, has recently raised a great interest to overcome the limitations of oral MTX. For addressing this issue, new optimized self-injection systems have been developed to improve the ease of use of SC MTX. Increasing evidence shows how patients tend to opt for autoinjectors over prefilled syringes or conventional syringes in terms of easiness of use, preference and satisfaction, regardless of whether the treatment is a biologic or MTX. Additionally, positive views and beliefs of patients about treatment may contribute to increasing expectations of effectiveness and treatment adherence. Similarly, the implementation of prefilled pens in clinical practice might be a way to facilitate and simplify the self-injection of SC MTX delivery, optimizing adherence and treatment outcomes as a consequence. This article aimed to review the available literature data on the use of MTX autoinjectors and their impact on treatment adherence and patients’ perceptions.

Pooled Patient-Level Analysis of Inclisiran Trials in Patients With Familial Hypercholesterolemia or Atherosclerosis

BACKGROUND

Inclisiran is a double-stranded small interfering RNA that suppresses proprotein convertase subtilisin-kexin type 9 (PCSK9) translation in the liver, leading to sustained reductions in low-density lipoprotein cholesterol (LDL-C) and other atherogenic lipoproteins with twice-yearly dosing.

OBJECTIVES

The purpose of this study was to conduct a patient-level pooled analysis from 3 phase 3 studies of inclisiran.

METHODS

Participants with heterozygous familial hypercholesterolemia (ORION-9 [Trial to Evaluate the Effect of Inclisiran Treatment on Low Density Lipoprotein Cholesterol (LDL-C) in Subjects With Heterozygous Familial Hypercholesterolemia (HeFH)]), atherosclerotic cardiovascular disease (ASCVD) (ORION-10 [Inclisiran for Participants With Atherosclerotic Cardiovascular Disease and Elevated Low-density Lipoprotein Cholesterol]), or ASCVD and ASCVD risk equivalents (ORION-11 [Inclisiran for Subjects With ASCVD or ASCVD-Risk Equivalents and Elevated Low-density Lipoprotein Cholesterol]) taking maximally tolerated statin therapy, with or without other LDL-C-lowering agents, were randomly assigned in a 1:1 ratio to receive either inclisiran or placebo, administered by subcutaneous injection on day 1, day 90, and every 6 months thereafter for 540 days. The coprimary endpoints were the placebo-corrected percentage change in LDL-C level from baseline to day 510 and the time-adjusted percentage change in LDL-C level from baseline after day 90 to day 540. Levels of other atherogenic lipoproteins and treatment-emergent adverse events were also assessed.

RESULTS

A total of 3,660 participants (n = 482, n = 1,561, and n = 1,617 from ORION-9, -10, and -11, respectively) underwent randomization. The placebo-corrected change in LDL-C with inclisiran at day 510 was -50.7% (95% confidence interval: -52.9% to -48.4%; p < 0.0001). The corresponding time-adjusted change in LDL-C was -50.5% (95% confidence interval: -52.1% to -48.9%; p < 0.0001). Safety was similar in both groups. Treatment-emergent adverse events at the injection site were more frequent with inclisiran than placebo (5.0% vs. 0.7%), but were predominantly mild, and none were severe or persistent. Liver and kidney function tests, creatine kinase values, and platelet counts did not differ between groups.

CONCLUSIONS

These pooled safety and efficacy data show that inclisiran, given twice yearly in addition to maximally tolerated statin therapy with or without other LDL-C lowering agents, is an effective, safe, and well-tolerated treatment to lower LDL-C in adults with heterozygous familial hypercholesterolemia, ASCVD, or ASCVD risk equivalents.

Effect of the ExactCare medication care management model on adherence, health care utilization, and costs

BACKGROUND: Multimorbidity and polypharmacy are common in the United States and are associated with greater risk of disease-related complications and higher health care costs. ExactCare has implemented a high-touch approach that includes home visits, comprehensive ongoing medication reviews, patient education, medication reconciliation, medication compliance packaging, and electronic reminders and trackers. OBJECTIVE: To test whether the ExactCare program improves medication adherence and reduces health care utilization and costs. METHODS: Using a national database from a large U.S. insurer, we identified Medicare Advantage plan members in 8 states from 2007 to 2018 who had both medical and prescription drug coverage. The index year for an ExactCare patient was identified using the date of the first prescription filled by ExactCare, with the previous year being the baseline. All patients without a prescription from an ExactCare pharmacy were considered potential comparison patients. To propensity match ExactCare and comparison patients, the probability of ExactCare participation was modeled using a logistic regression based on demographics, state, year, urban status, Medicaid eligibility, low-income subsidies, comorbidities, and baseline utilization and costs. Multivariate regression analysis was conducted to generate a difference-in-differences estimate of program effect for the matched pairs as well as patient-level fixed effects, while adjusting for additional time-varying characteristics. Adherence outcomes included the proportion of days covered for oral diabetic medications, antihypertensives, and hydroxymethylglutaryl-coenzyme A reductase inhibitors (statins). Utilization outcomes included emergency department (ED) visits, hospitalizations, and skilled nursing facility (SNF) admissions, hospitalization days, and SNF days. Cost outcomes included total cost of care, prescription drug cost, hospital inpatient cost, and SNF cost. RESULTS: ExactCare patients (N = 701) were propensity-matched to comparison patients (N = 1,395) using the nearest 1:2 match approach, with an average follow-up period of 6.6 and 5.4 years for ExactCare and comparison patients, respectively. One year of ExactCare participation was associated with statistically significant increases in adherence to statins (8.4 percentage points; P < 0.001) and antihypertensive drugs (4.9 percentage points; P < 0.001), but the increase in adherence for diabetes drugs was not statistically significant. ExactCare participation was associated with statistically significant decreases in SNF admission rates (-67 SNF stays per 1,000 member-years; P = 0.011), inpatient days (-857 days per 1,000 member-years; P = 0.022), and SNF days (-1,801 days per 1,000 member-years; P = 0.002), but not with the rates of ED visits or hospital admissions. Each year of ExactCare participation was associated with increases in prescription drug costs ($30 per-member per month [PMPM]; P = 0.006) and decreases in total costs (-$196 PMPM; P = 0.023) and medical costs (-$226 PMPM; P = 0.008), largely attributable to decreases in hospital inpatient costs (-$119 PMPM; P = 0.001) and SNF costs (-$30 PMPM; P = 0.007). CONCLUSIONS: ExactCare's medication care management model was associated with improved medication adherence and an approximately $2,400 per member per year reduction in total cost of care, representing a 5% reduction in average costs. DISCLOSURES: This study was funded by ExactCare Pharmacy under a contract with RAND that grants the study authors sole responsibility for data management, study design, data analysis, manuscript drafting, and the decision to publish. The sponsor had no role in the study design and manuscript drafting. All data analysis was conducted by the study authors. A draft manuscript was reviewed by the sponsor, but the study authors made final decisions regarding the content and study conclusions. Shetty, Chen, and Liu are employed by RAND. Rose has nothing to disclose.

Adherence to Treatment and Glycemic Control in Patients with Type 2 Diabetes Mellitus: A 4-Year Follow-up PTM Bogor Cohort Study, Indonesia

PURPOSE

Large-scale evaluation of the treatment adherence in patients with type 2 diabetes mellitus (DM) in Indonesian is limited. We aim to evaluate the treatment adherence of Indonesian type 2 DM patients using national "big data" and investigate its association with glycemic parameters.

PATIENTS AND METHODS

We analyzed baseline and fourth-year data sets from 2011 to 2018 obtained from the Indonesian Ministry of Health Cohort Study of Non-Communicable Disease Risk Factors in Bogor, West Java (the PTM Bogor Cohort Study). This was a retrospective cohort study in which the sample was divided into two groups. One group adhered to treatment from primary health centers and followed the prescribed medicine/treatment regimen (treated group), while the other did not follow the treatment (untreated group). We evaluated changes in fasting blood glucose (FBG) and post-prandial blood glucose (PPBG) by controlling for other variables.

RESULTS

From 5690 subjects, 593 were type 2 DM diagnosed and 342 were eligible at the baseline. At 4-year observation, 212 eligible patients remained, consisting of 62 subjects who adhered to treatment, and more than double that number who were untreated (150 subjects). More significant decreases in FBG and PPBG were found in the treated group (FBG 80.6%, PPBG 90.3%) than in the untreated group (FBG 42.0%, PPBG 67.3%). The results of the multivariate analysis showed that after 4 years observation, treated patients have reduced FBG 3.304 times more and PPBG 3.064 times more than untreated patients, with control factors such as decrease in LDL levels and use of oral drugs.

CONCLUSION

There were less than half as many treated patients as untreated patients involved in the PTM Bogor Study Group. At the fourth-year follow-up, treated patients experienced three times more significant decreases in FBG and PPBG than those who were untreated, even after being controlled by several confounding factors. Given the importance of these findings, it is suggested that immediate strategic action be taken to improve Indonesian patients' adherence to treatment.

Skipping breakfast, late-night eating and current smoking are associated with medication adherence in Japanese patients with diabetes

AIMS

Little is known about the relationship between medication adherence for oral hypoglycemic agents (OHAs) and glycemic control after adjusting healthy adherer effect in large scale study. Thus, adjusting for health-related behaviors, we investigated the clinical variables associated with medication adherence and the relationship between medication adherence and glycemic control using a large claims database.

METHODS

Analyzed were 8805 patients with diabetes whose medication records for OHA were available for at least 1year. Medication adherence was evaluated by the proportion of days covered (PDC). Multivariate logistic regression model was used to identify clinical variables significantly associated with non-adherence. Multiple regression analysis evaluated the relationship between PDC and HbA1c after adjusting for health-related behaviors.

RESULTS

Mean PDC was 80.1% and 32.8% of patients were non-adherence. Logistic analysis indicated that older age and taking concomitant medications were significantly associated with adherence while skipping breakfast (odds ratio 0.66 [95% CI 0.57-0.76]), late-night eating (0.86 [0.75-0.98]), and current smoking (0.89 [0.80-0.99]) were significantly associated with non-adherence.

CONCLUSIONS

Skipping breakfast, late-night eating and current smoking were significantly associated with medication adherence, suggesting that clinicians pay attention to those health-related behaviors to achieve good medication adherence.

Patient decision aids in clinical practice for people with diabetes: a scoping review

Background

People with diabetes need to make regular choices that influence their long-term morbidity and mortality. Patient decision aids are validated tools and when used collaboratively between healthcare professionals, patients and carers, can help guide value-based discussions which encourage choices that are well informed and personally relevant.

Objective

To explore the use and effect of patient decision aids in the management of diabetes.

Method

A scoping review design was used. Medline, ProQuest, PsycINFO, Scopus, and Cumulative Index to Nursing and Allied Health Literature databases were searched for peer-reviewed articles published between January 1998 and December 2018.

Results

Patient decision aids are not commonly or widely used in diabetes management. They offer a suitable adjunct to practice within the domains of healthcare knowledge, active participation, and communication, and shared decision-making between patients and healthcare professionals.

Conclusion

Patient decision aids can offer a simple and easy-to-use method to potentially improve diabetes health literacy, through the process of shared decision-making and two-way conversations. However, there are current limitations on using them to positively influence clinical outcomes or long-term changes in self-care behaviors within the management of diabetes. Further research to explore the validity of using patient decision aids long term in these areas is required.

Determinants of medication adherence among Iranian patients with type 2 diabetes: An application of health action process approach

To identify determinants of medication adherence among patients with type 2 diabetes based on the health action process approach. This cross-sectional study was conducted among 734 patients with type 2 diabetes attending to south Tehran health centers during June to December 2018. Data were gathered using the Morisky Medication Adherence Scale (MMAS-8-Item) and the health action process approach questionnaire. We used Mann-Whitney, Pearson Chi-Squared, Fisher's Exact and Independent Samples Tests for comparison of adherence medication by demographic characteristics; and linear regression analysis to predict factors related to medication adherence based on HAPA. P-value less than 0.05 considered statistically significant. A total of 232 men and 502 women participated in the study, Mean age was 61.61 ± 9.74. Most participants (82.3%) reported low medication adherence (females: 68.4%). Medication adherence was significantly associated with gender (p = 0.03). Medication adherence was significantly predicted by intention (β = 0.172, p = 0.0001), task self-efficacy (β = 0.172, p = 0.01), copping planning (β = 0.6, p = 0.0001) and copping self-efficacy (β = -0.244, p = 0.001). The level of adherence to medications among type 2 diabetes patients was low. The behavior intention, task self-efficacy, copping planning and copping self-efficacy were significant determinants contributed to the medication adherence. HAPA inventory includes various factors, especially types of self-efficacy. Thus, utilization of this comprehensive model in interventional studies is suggested. These determinants should be considered in developing interventional programs to improve adherence.

Factors associated with withdrawal from insulin pump therapy: A large-population-based study

BACKGROUND

Although, number of diabetic patients received insulin pump (IP) therapy is increasing; there are limited data regarding factors associated with IP withdrawal.

METHODS

We conducted a cross-sectional study using data from an Israeli health maintenance organization. All patients, 21 or older, with type 1 (T1DM) or type 2 (T2DM) diabetes, who received IP therapy for a 7-year period were identified. Patients who did not purchase IP maintenance supplies for at least six consecutive months were defined as withdrawn (N = 355). Patients who purchased supplies were defined as adherent (N = 352).

RESULTS

In both T1DM and T2DM patients, withdrawal from IP therapy was positively associated with duration of diabetes longer than 5 years (odds ratio [OR] = 13.26 [CI, 7.16-23.34; P < .001] and OR = 10.92 [CI, 5.64-21.14; P < .001], respectively), nonadherence to dietician follow-up (OR = 5.78 [CI, 3.65-9.14; P < .001] and OR = 3.41 [CI, 1.99-5.85; P < .001], respectively), and poor glycaemic control prior to IP treatment (OR = 4.04 [CI, 2.18-7.48; P < .001] and OR = 4.59 [CI, 2.71-7.81; P < .001], respectively]. Co-morbid neuro-psychiatric disorders were also risk factors for IP withdrawal: diagnosis of depression (OR = 2.22 [CI, 1.16-4.27; P = .017] and Attention Deficit Hyperactivity Disorder (ADHD) OR = 2.45 [CI, 1.003-5.087; P = .043]) among T1DM patients; and diagnosis of depression (OR = 1.85 [CI, 1.05-5.27; P = .046] and dementia OR = 4.03 [CI, 1.03-19.77; P = .048]) among T2DM patients.

CONCLUSION

In our large real-world population-based study, we found that smoking, obesity, poor glycaemic control, and co-morbid neuro-psychiatric disorders were associated with a high rate of withdrawal from IP therapy. Health care providers ought to familiarize themselves with patient characteristics predictive of nonadherence and should intensify patient follow-up when incorporating this new, costly, and challenging technology.

Adherence to multiple medications in the TODAY (Treatment Options for type 2 Diabetes in Adolescents and Youth) cohort: effect of additional medications on adherence to primary diabetes medication

Background Non-adherence to diabetes medication leads to poor outcomes and increased healthcare costs. Multiple factors affecting adherence in adults with type 2 diabetes (T2D) have been identified, but pediatric data is sparse. We aimed to determine whether initiation of additional oral medications or insulin affects adherence to primary study medication (PSM) in the Treatment Options for type 2 Diabetes in Adolescents and Youth (TODAY) study. Methods Six hundred and ninety-nine youth (aged 10-17 years) with recent-onset T2D were randomized in the TODAY study. Participants were categorized as adherent (≥80% taken by pill count) or non-adherent (<80%), and adherence was compared between those on additional medications or not. Subgroup analyses to assess influence of race/ethnicity, gender, medication type, or depression were performed. Results At 36 months, 46.3% of participants were taking additional oral medications and 31.9% were on insulin. There was no difference in study medication adherence with additional oral medications (55.1%, 67.1%, and 56.7% at month 36 in those prescribed 0, 1, or 2+  additional medications; p = 0.16). Girls on oral contraceptives (OC) had higher adherence (65.2% vs. 55.8% at month 36; p = 0.0054). Participants on insulin had lower adherence (39.7% vs. 59.3% at 36 months; p < 0.0001). There was decreased adherence in participants with baseline depression (p = 0.008). Conclusions Additional oral medications did not influence adherence to diabetes medications in TODAY. Addition of insulin led to reduced adherence. In subgroup analyses, OC use was associated with higher adherence in girls, while baseline depression was associated with lower adherence overall. Further studies examining potentially modifiable risk factors of adherence in pediatric T2D are needed.

Predictors of in-laboratory polysomnography attendance in a cohort of patients with stroke or TIA

STUDY OBJECTIVES

After cerebrovascular events, obstructive sleep apnea (OSA) is associated with poor functional outcomes, an increased risk of recurrent stroke, and mortality. Although the significant under-diagnosis of OSA is likely multifactorial in nature, factors associated with attendance at in-laboratory polysomnography (iPSG) are poorly understood. We evaluated demographic, lifestyle, and clinical variables that predicted attendance at iPSG in a cohort of patients with stroke and transient ischemic attack (TIA) enrolled in a clinical research study.

METHODS

Demographic, lifestyle, and clinical variables were summarized for the patients who did and did not attend iPSG. Multivariable binary logistic regression analyses were performed to examine four models that thematically aggregated predictors expected to relate to attendance. Further, t-tests for continuous variables, and chi-squared tests for categorical variables, were performed to uncover differences between the two groups.

RESULTS

In the 122 participants included in our analyses, mean age was 66.6 ± 15.7 (64.8% males) with only 59.0% of participants attending iPSG. Only Model 1, which investigated the impact of demographic, lifestyle, and cognitive status, was significant (χ² = 35.31, p < 0.001). Among our variables, (1) younger age, (2) better cognition, (3) higher level of education, and (4) never-smoking status significantly predicted attendance at iPSG.

CONCLUSION

By understanding the relationship between variables that significantly predict attendance, we hope our results will translate into practices that promote iPSG attendance, which may help improve outcomes in the stroke/TIA population.

CLINICAL TRIALS

SLEep APnea Screening Using Mobile Ambulatory Recorders After TIA/Stroke (SLEAP SMART) (NCT02454023); https://clinicaltrials.gov/ct2/show/NCT02454023.

Long-term statin persistence is poor among high-risk patients with dyslipidemia: a real-world administrative claims analysis

Background

A decade ago, statin persistence was < 50% after 1 year, and recent short-term analyses have revealed very little progress in improving statin persistence, even in patients with a prior cardiovascular (CV) event. Data on longer-term statin persistence are lacking. We measured long-term statin persistence in patients with high CV risk.

Methods

This retrospective administrative claims analysis of the Optum Research Database included patients aged ≥ 45 years with diabetes and/or atherosclerotic CV disease (ASCVD) who had a statin prescription filled in 2010. It included an elevated triglycerides (TG) cohort of patients with index date in 2010 and TG ≥ 150 mg/dL (n = 23,181) and a propensity-matched comparator cohort with TG < 150 mg/dL and high-density lipoprotein cholesterol > 40 mg/dL (n = 23,181). Both cohorts were followed for ≥ 6 months up to March 2016.

Results

The probability of remaining on a prescription fill for index statin therapy was 47% after 1 year and 19% after 5 years in both cohorts. Statin persistence was worse among women than men, and among younger versus older patients (P < 0.001 for all comparisons). After 5 years, the probability of remaining on a prescription fill for index statin was < 25% across all subgroups assessed including patients with and without baseline revascularization, heart failure, peripheral artery disease and renal disease. Similar results were observed in a subcohort analysis of patients with TG 200–499 mg/dL.

Conclusions

Long-term statin persistence after 5 years is alarmingly low (< 25%) and is a public health concern.

Improved glycaemic control and lower hypoglycaemia risk with reduced prior oral antidiabetes drug therapy in patients with type 2 diabetes treated with insulin glargine 300 U/mL

AIMS

Data from the EDITION 3 randomized study and the Clinformatics claims database were analysed to determine whether insulin glargine 300 U/mL (Gla-300) could provide insulin-naive patients with type 2 diabetes (T2D) on oral antidiabetes drugs (OADs) with reductions in prior OAD therapy without compromising glycaemic control, and while preserving its known low incidence of hypoglycaemia compared with insulin glargine 100 U/mL (Gla-100).

METHODS

Patient-level data from EDITION 3 and de-identified data from the Clinformatics real-world claims database were analysed.

RESULTS

At baseline, 70% of patients in EDITION 3 were on a background of ≥2 OADs. Among the 435 and 437 patients who initiated basal insulin with Gla-300 and Gla-100, respectively, at Month 6, 336 (77%) and 338 (77%) were using ≤1 OAD. Adding Gla-300 or Gla-100 similarly allowed for a reduction in background OAD medication in the Clinformatics dataset (N = 6430), such that, at 6 months postbasal insulin initiation, 14% of patients were no longer taking any OADs. In the analysis of the EDITION 3 study, reduction in OAD burden did not compromise glycaemic benefit, and the low incidence of hypoglycaemia associated with Gla-300 compared with Gla-100 was also preserved. Documented symptomatic hypoglycaemia (blood glucose ≤70 mg/dL) occurred in 30.5% vs 41.0% of patients treated with Gla-300 and Gla-100, respectively (P = 0.0442).

CONCLUSION

Patients with T2D who initiate basal insulin with Gla-300 could potentially reduce their prior OAD use without compromising glycaemic control and with less hypoglycaemia than with Gla-100.

Implementation of the Chronic Care Model to Reduce Disparities in Hypertension Control: Benefits Take Time

BACKGROUND

The Chronic Care Model (CCM) has been endorsed by experts to reduce disparities in chronic disease outcomes but benefits may be slow to appear in low-income populations.

OBJECTIVE

To evaluate the effect of CCM implementation on systolic blood pressure (SBP) control in minority patients with diabetes mellitus (DM).

DESIGN

Retrospective study from 2012 to 2016 in two primary care clinics with primarily uninsured, Hispanic patients.

PATIENTS

Four 2-year cohorts of patients aged 18-75 with DM and SBP ≥ 140 mmHg on HTN drugs in year 1 and SBP measured 1 year later in year 2.

INTERVENTION

Implementation of CCM for DM in January 2014 involved: electronic medical record revision, a DM registry, hypertension (HTN) treatment protocol, team education, performance feedback, and case management.

MAIN MEASURE

SBP < 140 mmHg in year 2.

KEY RESULTS

Of 2354 patients, the mean age was 56.2 (SD 9.5), baseline SBP 153.8 (SD 14.9) mmHg, and 79.8% Hispanic. Last SBP < 140 mmHg was 58.4% for cohort 1 (2012-2013) and 68.5% for cohort 4 (2015-2016). Adjusted odds ratios (AORs) for SBP control versus cohort 1 were 1.35 (95% CI 1.07, 1.69) for cohort 3 (2014-2015) and 2.13 (95% CI 1.60, 2.80) for cohort 4. AORs for SBP control were reduced by 15% per HTN drug at baseline (P = 0.001), 9% per HTN drug added at last SBP (P = 0.024), and 22% for multi-dose HTN drugs (P = 0.004). Among patients with persistent elevated SBP and represented in multiple cohorts, AORs for control were still over 2-fold higher for cohort 4 versus cohort 1.

CONCLUSIONS

After adopting the CCM for primarily Hispanic patients with DM, SBP control increased significantly despite treatment with fewer HTN drugs. Yet improvement took 3-4 years, suggesting that financial rewards for using the CCM to achieve improved clinical outcomes for low-income, minority patients may be delayed.

A perspective on nonadherence to drug therapy: psychological barriers and strategies to overcome nonadherence

Medication adherence represents an inefficiency and ongoing challenge within medical care. The problem has been long-recognized - indeed, the research literature contains thousands of articles on the topic. Nonetheless, because of the complex nature of the problem, it still cannot be considered to be solved. Reasons for nonadherence are myriad but psychological barriers to adherence are most difficult to mitigate and, thus, are the focus of this paper. The present narrative review sketches a summary of theoretical models commonly utilized to understand and help address medication nonadherence; uses a patient-centered care approach to contextualize the problem of nonadherence to drug therapies; and then outlines a set of best-practice recommendations based on the extant data and framed from the perspective of the Information-Motivation-Strategy model.

Synthesizing and Appraising the Quality of the Evidence on Factors Associated with Medication Adherence in Diabetes: A Systematic Review of Systematic Reviews

BACKGROUND

Nonadherence to medications is a common phenomenon in patients with diabetes. Several studies and systematic reviews have investigated the barriers to medication adherence in diabetes. However, no study has evaluated the quality of the existing literature and synthesized the plethora of evidence with a goal to design holistic conceptual frameworks and interventions.

OBJECTIVES

The aims of this review were to systematically evaluate existing systematic reviews focusing on factors associated with medication adherence in diabetes in an effort to synthesize the evidence, determine their methodological quality, and identify the gaps in the current literature.

METHODS

Fourteen databases and gray literature sources were systematically searched through June 2016. Systematic reviews reporting factors associated with medication adherence (barriers and facilitators) in patients with diabetes were selected on the basis of predetermined criteria. Studies were appraised for quality using AMSTAR (A Measurement Tool to Assess Systematic Reviews).

RESULTS

Seventeen systematic reviews including 542 primary studies, most of which were cross-sectional quantitative studies, were included. All the reviews were rated as moderate to low quality and exhibited common methodological pitfalls. Factors influencing medication adherence identified were categorized as patient-, medication-, disease-, health care provider-, health care system-, and social-related factors.

CONCLUSIONS

Factors influencing medication adherence are multifactorial with remarkably consistent findings across the existing reviews; yet, most reviews were judged to be of low to moderate quality. Further comprehensive and well-conducted original studies and systematic reviews on this topic shall be conducted taking into consideration the drawbacks of existing ones.

Factors associated with medication adherence among patients with diabetes in the Middle East and North Africa region: A systematic mixed studies review

Multiple systematic reviews were conducted investigating factors associated with medication adherence worldwide. However, investigations from the Middle East and North Africa (MENA) region were largely underrepresented in those reviews. Therefore, the objective of this systematic review is to identify the factors influencing medication adherence among patients with diabetes in the MENA region. A systematic literature search was conducted through Cochrane Library, EBSCO, EMBASE, Google Scholar, ISI Web of Science, PubMed, ScienceDirect, SCOPUS, and ProQuest. Studies were included if they determined factors associated with medication adherence among patients with diabetes within the MENA region. Quality was assessed using Crow Critical Appraisal Tool. Thirty primary studies from 10 MENA countries were included. The factors associated with medication adherence were categorized into demographics-related; disease- and medication-related; perception, attitude and psychological feelings-related; and societal-related factors. Positively associated factors included knowledge about the disease and medications, regular follow-up visits, and patients' positive beliefs about effectiveness and motivations about medications, while negatively associated factors included forgetfulness, side effects, and polypharmacy. Factors associated with medication adherence among patients with diabetes in the MENA region are highly diverse. The identified factors can serve as potential targets for culturally-relevant interventions to improve medication adherence and overall health outcomes.

Medication adherence and persistence in type 2 diabetes mellitus: perspectives of patients, physicians and pharmacists on the Spanish health care system

OBJECTIVE

A good relationship between diabetes patients and their health care team is crucial to ensure patients' medication adherence and self-management. To this end, we aimed to identify and compare the views of type 2 diabetes mellitus (T2DM) patients, physicians and pharmacists concerning the factors and strategies that may be associated with, or could improve, medication adherence and persistence.

METHODS

An observational, cross-sectional study was conducted using an electronic self-administered questionnaire comprising 11 questions (5-point Likert scale) concerning factors and strategies related to medication adherence. The survey was designed for T2DM patients and Spanish National Health System professionals.

RESULTS

A total of 963 T2DM patients, 998 physicians and 419 pharmacists participated in the study. Overall, a lower proportion of pharmacists considered the proposed factors associated with medication adherence important as compared to patients and physicians. It should be noted that a higher percentage of physicians in comparison to pharmacists perceived that "complexity of medication" (97% vs 76.6%, respectively) and "adverse events" (97.5% vs 72.2%, respectively) were important medication-related factors affecting adherence. In addition, both patients (80.8%) and physicians (80.8%) agreed on the importance of "cost and co-payment" for adherence, whereas only 48.6% of pharmacists considered this factor important. It is also noteworthy that nearly half of patients (43%) agreed that "to adjust medication to activities of daily living" was the best strategy to reduce therapeutic complexity, whereas physicians believed that "reducing the frequency of administration" (47.9%) followed by "reducing the number of tablets" (28.5%) was the most effective strategy to improve patients' adherence.

CONCLUSION

Our results highlight the need for pharmacists to build a stronger relationship with physicians in order to improve patients monitoring and adherence rates. Additionally, these findings may help to incorporate greater patient-centeredness when developing management strategies, focusing on adjusting medication regimens to patients' daily lives.

Prevention and treatment of diabetic foot ulcers

The rising prevalence of diabetes estimated at 3.6 million people in the UK represents a major public health and socioeconomic burden to our National Health Service. Diabetes and its associated complications are of a growing concern. Diabetes-related foot complications have been identified as the single most common cause of morbidity among diabetic patients. The complicating factor of underlying peripheral vascular disease renders the majority of diabetic foot ulcers asymptomatic until latter evidence of non-healing ulcers become evident. Therefore, preventative strategies including annual diabetic foot screening and diabetic foot care interventions facilitated through a multidisciplinary team have been implemented to enable early identification of diabetic patients at high risk of diabetic foot complications. The National Diabetes Foot Care Audit reported significant variability and deficiencies of care throughout England and Wales, with emphasis on change in the structure of healthcare provision and commissioning, improvement of patient education and availability of healthcare access, and emphasis on preventative strategies to reduce morbidities and mortality of this debilitating disease. This review article aims to summarise major risk factors contributing to the development of diabetic foot ulcers. It also considers the key evidence-based strategies towards preventing diabetic foot ulcer. We discuss tools used in risk stratification and classifications of foot ulcer.