Factors Influencing Therapeutic Non-Adherence Behavior Among Patients with Type 2 Diabetes in Two Public Hospitals in the Gambia: A Cross-Sectional Study

Background

Type 2 Diabetes Mellitus (DM) is a significant public health problem in The Gambia. While therapeutic non-adherence is widely recognized as a common and costly problem, very little is known about therapeutic adherence behavior among patients with diabetes in The Gambia.

Purpose

The objective of this study was to determine the prevalence and factors that influence diabetic therapeutic non-adherence behavior among patients with type 2 diabetes in The Gambia.

Methods

A cross-sectional study design was used, and participants were recruited from Edward Francis Small Teaching Hospital (EFSTH) and Kanifing General Hospital (KGH). The sample size of 145 patients with type 2 diabetes was included and data was collected using a structured questionnaire. Adherence to anti-diabetic medications was measured using the Morisky Medications Adherence Scale (MMAS-8). Logistic regression was used to determine the factors associated with diabetic therapeutic non-adherence.

Results

The prevalence of non-adherence to anti-diabetic treatment was 27.6%. Perceived barrier (forgetfulness, long-term medication use, and medication side effects) to diabetic treatment (OR = 0.265, 95% CI: 0.113-0.621, p = 0.041) was statistically significantly associated with non-adherence to anti-diabetic treatment. However, the frequency of doctor's visits (OR = 0.310, 95% CI: 0.046-2.111) was not significantly associated with non-adherence to anti-diabetic treatment.

Conclusion

The rate of non-adherence to antidiabetic treatment in this study was high. Perceived barriers to antidiabetic treatment such as forgetfulness, long-term medication use, and medication side effects influenced therapeutic non-adherence to antidiabetic treatment. While interventions should focus on how to eliminate these barriers, health education on diabetic self-care may help reinforce the importance of medication adherence to prevent complications.

Adherence to Oral Antidiabetic Drugs in Patients with Type 2 Diabetes: Systematic Review and Meta-Analysis

Poor adherence to oral antidiabetic drugs (OADs) in patients with type 2 diabetes (T2D) can lead to therapy failure and risk of complications. The aim of this study was to produce an adherence proportion to OADs and estimate the association between good adherence and good glycemic control in patients with T2D. We searched in MEDLINE, Scopus, and CENTRAL databases to find observational studies on therapeutic adherence in OAD users. We calculated the proportion of adherent patients to the total number of participants for each study and pooled study-specific adherence proportions using random effect models with Freeman-Tukey transformation. We also calculated the odds ratio (OR) of having good glycemic control and good adherence and pooled study-specific OR with the generic inverse variance method. A total of 156 studies (10,041,928 patients) were included in the systematic review and meta-analysis. The pooled proportion of adherent patients was 54% (95% confidence interval, CI: 51-58%). We observed a significant association between good glycemic control and good adherence (OR: 1.33; 95% CI: 1.17-1.51). This study demonstrated that adherence to OADs in patients with T2D is sub-optimal. Improving therapeutic adherence through health-promoting programs and prescription of personalized therapies could be an effective strategy to reduce the risk of complications.

Health literacy levels in patients with type 2 diabetes in an affluent Gulf country: a cross-sectional study

OBJECTIVES

To identify health literacy levels in patients with type 2 diabetes mellitus in the United Arab Emirates (UAE).

INTERVENTION

Nationwide cross-sectional survey.

SETTING AND PARTICIPANTS

Individuals with type 2 diabetes mellitus attending outpatient diabetes clinics in all emirates of the UAE were surveyed between January 2019 and May 2020. Out of 832 patients approached, 640 met the inclusion criteria and agreed to participate.

OUTCOME VARIABLES

The outcome variable of interest was the health literacy level, which was measured using the Eastern-Middle Eastern Adult Health Literacy 13 Questionnaire. The association of health literacy level with age, gender and education was conducted using the Χ² test.

RESULTS

Only 11% of respondents had adequate health literacy levels. Age and education were directly correlated with health literacy levels. Patients under age 50 years had statistically significant higher rates of marginal (106 of 238, 44.5%) and adequate literacy (67 of 238, 28.2%, p<0.001) than the older population. Participants with bachelor's or postgraduate degrees also had significantly higher adequate health literacy levels (24 of 79, 30.4%, p<0.001).

CONCLUSIONS

The low health literacy levels found in outpatients with diabetes may be a major challenge to optimising diabetes care in the UAE. In addition to health services strategies, targeted educational and behavioural interventions for the older population and those with less formal education are necessary.

Clinical and Pharmacotherapeutic Profile of Patients with Type 2 Diabetes Mellitus Admitted to a Hospital Emergency Department

Type 2 diabetes mellitus (T2DM) is closely associated with other pathologies, which may require complex therapeutic approaches. We aim to characterize the clinical and pharmacological profile of T2DM patients admitted to an emergency department. Patients aged ≥65 years and who were already using at least one antidiabetic drug were included in this analysis. Blood glycemia, creatinine, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and hemoglobin were analyzed for each patient, as well as personal pathological history, diagnosis(s) at admission, and antidiabetic drugs used before. Outcome variables were analyzed using Pearson's Chi-Square, Fisher's exact test, and linear regression test. In total, 420 patients were randomly selected (48.6% male and 51.4% female). Patients with family support showed a lower incidence of high glycemia at admission (p = 0.016). Higher blood creatinine levels were associated with higher blood glycemia (p = 0.005), and hyperuricemia (HU) (p = 0.001), as well as HU, was associated with a higher incidence of acute cardiovascular diseases (ACD) (p = 0.007). Hemoglobin levels are lower with age (p = 0.0001), creatinine (p = 0.009), and female gender (p = 0.03). The lower the AST/ALT ratio, the higher the glycemia at admission (p < 0.0001). Obese patients with (p = 0.021) or without (p = 0.027) concomitant dyslipidemia had a higher incidence of ACD. Insulin (p = 0.003) and glucagon-like peptide-1 agonists (GLP1 RA) (p = 0.023) were associated with a higher incidence of decompensated heart failure, while sulfonylureas (p = 0.009), metformin-associated with dipeptidyl peptidase-4 inhibitors (DPP4i) (p = 0.029) or to a sulfonylurea (p = 0.003) with a lower incidence. Metformin, in monotherapy or associated with DPP4i, was associated with a lower incidence of acute kidney injury (p = 0.017) or acute chronic kidney injury (p = 0.014). SGLT2i monotherapy (p = 0.0003), associated with metformin (p = 0.026) or with DPP4i (p = 0.007), as well as insulin and sulfonylurea association (p = 0.026), were associated with hydroelectrolytic disorders, unlike GLP1 RA (p = 0.017), DPP4i associated with insulin (p = 0.034) or with a GLP1 RA (p = 0.003). Insulin was mainly used by autonomous and institutionalized patients (p = 0.0008), while metformin (p = 0.003) and GLP1 RA (p < 0.0001) were used by autonomous patients. Sulfonylureas were mostly used by male patients (p = 0.027), while SGLT2 (p = 0.0004) and GLP1 RA (p < 0.0001) were mostly used by patients within the age group 65-85 years. Sulfonylureas (p = 0.008), insulin associated with metformin (p = 0.040) or with a sulfonylurea (p = 0.048), as well as DPP4i and sulfonylurea association (p = 0.031), were associated with higher blood glycemia. T2DM patients are characterized by great heterogeneity from a clinical point of view presenting with several associated comorbidities, so the pharmacotherapeutic approach must consider all aspects that may affect disease progression.

Factors Associated With Medication Compliance in Elderly Patients With Type 2 Diabetes Mellitus: A Cross-Sectional Study

The average age of patients with type 2 diabetes in Japan is over 70 years. Elderly patients tend to have poor medication compliance, therefore, it is important to understand their individual situations to improve medication compliance, the treatment of their diabetes, and their quality of life (QOL). This study aimed to identify factors associated with medication compliance in elderly type 2 diabetic patients. A cross-sectional study based on questionnaires was conducted on type 2 diabetes patients aged 65 years or older. The participants were recruited from patients who visited three dispensing pharmacies in the Shinagawa area of Tokyo between March 1 and September 30, 2019. The questionnaire consisted of patient information (sex, age, medication compliance status, knowledge of drug effects, and side effects), 12-Item Short Form Survey quality of life rating scale (SF-12), and Diabetes Treatment Satisfaction Questionnaire (DTSQ). Factors related to medication compliance were then evaluated. In all, there were 47 respondents: 31 males and 16 females. Four factors were found to be associated with medication compliance in elderly type 2 diabetic patients: medication storage (P = 0.01), knowledge of drug effects (P < 0.001), knowledge of side effects (P = 0.026), and physical functioning: (PF) (P = 0.045), a subscale of SF-12. Furthermore, the strength of the association between these four factors and medication compliance was calculated using Cramer's V coefficient of association. Knowledge of drug effects was the most strongly associated (knowledge of drug effects: V = 0.559; knowledge of side effects: V = 0.464; medication storage: V = 0.451; PF: V = 0.334). Because diabetes mellitus has no subjective symptoms and treatment effects are not felt to a great extent, it is difficult to motivate patients to consistently adhere to medication. When pharmacists provide medication guidance to elderly patients with type 2 diabetes mellitus, it is important to provide sufficient information to ensure they fully understand the drug effects to maintain medication compliance.

Metformin adherence in patients with type 2 diabetes and its association with glycated haemoglobin levels

INTRODUCTION Metformin is the initial medication of choice for most patients with type 2 diabetes. Non-adherence results in poorer glycaemic control and increased risk of complications. AIM The aim of this study was to characterise metformin adherence and association with glycated haemoglobin (HbA1c) levels in a cohort of patients with type 2 diabetes. METHODS Prescription and dispensing data were used for this study. Primary care clinical and demographic data were collected from 10 general practices (October 2016-March 2018) and linked to pharmaceutical dispensing information. Metformin adherence was initially measured by calculating the proportion of patients who had optimal medication cover for at least 80% of days (defined as a medication possession ratio (MPR) of ≥0.8), calculated using dispensing data. Prescription adherence was assessed by comparing prescription and dispensing data. The association between non-adherence (MPR <0.8) and HbA1c levels was also assessed. RESULTS Of the 1595 patients with ≥2 metformin prescriptions, the mean MPR was 0.87. Fewer Māori had an MPR ≥0.8 than New Zealand European (63.8% vs. 81.2%). Similarly, Māori received fewer metformin prescriptions (P=0.02), although prescription adherence did not differ by ethnicity. Prescription adherence was lower in younger patients (P=0.002). Mean HbA1c levels were reduced by 4.8 and 5.0mmol/mol, respectively, in all and Māori patients with an MPR ≥0.8. Total prescription adherence reduced HbA1c by 3.2mmol/mol (all P<0.01). DISCUSSION Ethnic disparity exists for metformin prescribing, leading to an overall reduction in metformin coverage for Māori patients. This needs to be explored further, including understanding whether this is a patient preference or health system issue.

An examination of the socio-demographic correlates of patient adherence to self-management behaviors and the mediating roles of health attitudes and self-efficacy among patients with coexisting type 2 diabetes and hypertension

BACKGROUND

Patients with coexisting type 2 diabetes and hypertension generally exhibit poor adherence to self-management, which adversely affects their disease control. Therefore, identification of the factors related to patient adherence is warranted. In this study, we aimed to examine (i) the socio-demographic correlates of patient adherence to a set of self-management behaviors relevant to type 2 diabetes and hypertension, namely, medication therapy, diet therapy, exercise, tobacco and alcohol avoidance, stress reduction, and self-monitoring/self-care, and (ii) whether health attitudes and self-efficacy in performing self-management mediated the associations between socio-demographic characteristics and adherence.

METHODS

We performed a secondary analysis of data collected in a randomized controlled trial. The sample comprised 148 patients with coexisting type 2 diabetes mellitus and hypertension. Data were collected by a questionnaire and analyzed using logistic regression.

RESULTS

Female patients were found to be less likely to exercise regularly (odds ratio [OR] = 0.49, P = 0.03) and more likely to avoid tobacco and alcohol (OR = 9.87, P < 0.001) than male patients. Older patients were found to be more likely to adhere to diet therapy (OR = 2.21, P = 0.01) and self-monitoring/self-care (OR = 2.17, P = 0.02). Patients living with family or others (e.g., caregivers) were found to be more likely to exercise regularly (OR = 3.44, P = 0.02) and less likely to avoid tobacco and alcohol (OR = 0.10, P = 0.04) than those living alone. Patients with better perceived health status were found to be more likely to adhere to medication therapy (OR = 2.02, P = 0.03). Patients with longer diabetes duration (OR = 2.33, P = 0.01) were found to be more likely to adhere to self-monitoring/self-care. Self-efficacy was found to mediate the association between older age and better adherence to diet therapy, while no significant mediating effects were found for health attitudes.

CONCLUSIONS

Adherence to self-management was found to be associated with socio-demographic characteristics (sex, age, living status, perceived health status, and diabetes duration). Self-efficacy was an important mediator in some of these associations, suggesting that patient adherence may be improved by increasing patients' self-management efficacy, such as by patient empowerment, collaborative care, or enhanced patient-physician interactions.

Young-onset diabetes, nutritional therapy and novel insulin delivery systems: a report from the 21st Hong Kong Diabetes and Cardiovascular Risk Factors - East Meets West Symposium

The prevalence and incidence of young-onset diabetes are increasing in many parts of the world, with the most rapid increase occurring in Asia, where one in five people with diabetes are diagnosed below the age of 40 years. Accumulation of glycaemic burden from an early age significantly increases the lifetime risks of developing complications from diabetes. Despite impending health threats, young people fare worse in the control of blood glucose and other metabolic risk factors. Challenges in the management of young-onset diabetes are compounded by heterogeneity of the underlying causes, pathophysiology and clinical phenotypes in this group. Effective characterization of people with diabetes has implications in steering the choice of glucose-lowering drugs, which, in turn, determines the clinical outcome. Medical nutritional therapy is key to effective management of people with diabetes but dietary adherence is often suboptimal among younger individuals. A recently published consensus report on nutritional therapy addresses dietary management in people with prediabetes as well as diabetes, and summarizes clinical evidence regarding macronutrient and micronutrient composition as well as eating patterns in people with diabetes. For people with type 1 diabetes, automated insulin delivery systems have rapidly evolved since the concept was first introduced at the National Institute of Health and the Juvenile Diabetes Research Foundation in 2005. The subsequent development of a type 1 diabetes simulator, developed using detailed human physiology data on carbohydrate metabolism replaced the need for pre-clinical animal studies and facilitated the seamless progression to artificial pancreas human clinical trials.

Sex differences in the risk of vascular disease associated with diabetes

Diabetes is a strong risk factor for vascular disease. There is compelling evidence that the relative risk of vascular disease associated with diabetes is substantially higher in women than men. The mechanisms that explain the sex difference have not been identified. However, this excess risk could be due to certain underlying biological differences between women and men. In addition to other cardiometabolic pathways, sex differences in body anthropometry and patterns of storage of adipose tissue may be of particular importance in explaining the sex differences in the relative risk of diabetes-associated vascular diseases. Besides biological factors, differences in the uptake and provision of health care could also play a role in women’s greater excess risk of diabetic vascular complications. In this review, we will discuss the current knowledge regarding sex differences in both biological factors, with a specific focus on sex differences adipose tissue, and in health care provided for the prevention, management, and treatment of diabetes and its vascular complications. While progress has been made towards understanding the underlying mechanisms of women’s higher relative risk of diabetic vascular complications, many uncertainties remain. Future research to understanding these mechanisms could contribute to more awareness of the sex-specific risk factors and could eventually lead to more personalized diabetes care. This will ensure that women are not affected by diabetes to a greater extent and will help to diminish the burden in both women and men.

Oral antidiabetic medication adherence and glycaemic control among patients with type 2 diabetes mellitus: a cross-sectional retrospective study in a tertiary hospital in Saudi Arabia

OBJECTIVES

The purpose of this study is to measure the adherence rates of oral antidiabetic drugs (OADs) in patients with type 2 diabetes mellitus (T2DM) and assess the relationship of glycaemic control and adherence to OADs after controlling for other associated factors.

DESIGN

Cross-sectional retrospective study.

SETTING

Large tertiary hospital in the central region of Saudi Arabia.

PARTICIPANTS

5457patients aged 18 years and older diagnosed with T2DM during the period from 1 January 2016 to 31 December 2016.

PRIMARY AND SECONDARY OUTCOME MEASURES

The modified medication possession ratio (mMPR) was calculated as a proxy measure for adherence of OADs. The factors associated with OADs non-adherence and medication oversupply were assessed using multinomial logistic regression models. The secondary outcomes were to measure the association between OADs adherence and glycaemic control.

RESULTS

Majority of patients with T2DM were females (n=3400, 62.3%). The average glycated haemoglobin was 8.2±1.67. Among the study population, 48.6% had good adherence (mMPR >0.8) and 8.6% had a medication oversupply (mMPR >1.2). Good adherence was highest among those using repaglinide (71.0%) followed by pioglitazone (65.0%) and sitagliptin (59.0%). In the multivariate analysis, women with T2DM were more likely to have poor adherence (adjusted OR (AOR)=0.76, 95% CI=0.67, 0.86) compared with men. Also, medication oversupply was more likely among patients with hyperpolypharmacy (AOR=1.88, 95% CI=1.36, 2.63), comorbid osteoarthritis (AOR=1.72, 95% CI=1.20, 02.45) and non-Saudi patients (AOR=1.53, 95% CI=1.16, 2.01). However, no association was found between glycaemic control and adherence to OADs.

CONCLUSION

The study findings support the growing concern of non-adherence to OADs among patients with T2DM in Saudi Arabia. Decision makers have to invest in behavioural interventions that will boost medication adherence rates. This is particularly important in patients with polypharmacy and high burden of comorbid conditions.

Early-onset diabetes: an epidemic in China

Although type 2 diabetes is a disease often associated with aging, the global prevalence of early-onset diabetes has been increasing due to man's sedentary lifestyle, low-physical activity, obesity, and some nonmodifiable risk factors. Many studies have found that individuals with early-onset type 2 diabetes were at higher risk of developing vascular complications than those with late-onset diabetes. Individuals with early-onset diabetes are usually unwilling to visit hospital and have more confidence in their health, which results in poor glycemic control and the delayed detection of diabetes-related complications. Few studies have focused on the treatment and prevention of complications in specific population of individuals with early-onset type 2 diabetes. Therefore, focusing on this particular population is critical for the government and academic societies. Screening for T2DM is imminent for young adults with a family history of diabetes, obesity, markers of insulin resistance, or alcohol consumption. More data are definitely required to establish a reasonable risk model to screen for early-onset diabetes.

Possible associations of personality traits representing harm avoidance and self-directedness with medication adherence in Japanese patients with type 2 diabetes

BACKGROUND

Insufficient medication adherence in diabetes patients, of which numbers continue to increase globally, remains a critical issue. Medication adherence is multifactorial and determined by interactions among factors including socioeconomic status, health care team and system, condition, therapy, and patient-specific factors. On the other hand, personality traits have been studied in adherence other than to medication. Using the instruments of Temperament and Character Inventory (TCI), Harm Avoidance (TCI-HA) and Self-directedness (TCI-SD) showed distinguishing associations with adherence of health-related programs. However, few studies have been performed to elucidate psychometric properties related to medication adherence. We investigated how TCI-HA and TCI-SD of patients with diabetes are related to medication adherence.

METHOD

A cross-sectional survey was conducted among type 2 diabetes patients recruited at medical institutions or via an online research company. Medication adherence was measured using the 8-item Morisky Medication Adherence Scale (MMAS-8). Personality traits were assessed using the established scales of TCI-HA and TCI-SD. Univariate and multivariate regression analyses of the MMAS-8 scores were performed in addition to assessing demographic and disease characteristics and TCI-HA and TCI-SD.

RESULTS

A total of 358 responses were analyzed. Multivariate regression analysis of MMAS-8 scores revealed that higher TCI-SD was related to better adherence and experiencing drug-related side effects was related to poor adherence. Aging was significantly associated with better medication adherence in univariate regression analysis but became insignificant in multivariate regression.

CONCLUSIONS

In diabetes patients, the anxiety reflected in TCI-HA tends to lower and the self-control reflected in TCI-SD tends to promote medication adherence. TCI-SD has a greater effect than TCI-HA.

Young onset type 2 diabetic patients might be more sensitive to metformin compared to late onset type 2 diabetic patients

It is unknown whether YOD (young onset diabetes) and LOD (late onset diabetes) require similar insulin doses for intensive insulin therapy with a metformin add-on to achieve glycemic control. We analyzed data from our two previously performed randomized, controlled open-label trials. Patients were randomized to receive either continuous subcutaneous insulin infusion (CSII) therapy or CSII combined with metformin therapy for 4 weeks. The studies concentrated on the differences in the insulin doses used for the two groups. We included 36 YOD (age < 40 yrs) and 152 LOD (age > 40 yrs) patients. YOD patients who received metformin combined with CSII therapy required significantly lower insulin doses to maintain euglycemic control compared to patients with LOD. A multivariate analysis, controlled for gender and the fasting blood concentration, was performed to determine the significance of the differences between groups, particularly with respect to the total and basal insulin doses. There was a trend toward improvement in β-cell function and insulin resistance in terms of ΔHOMA-B and ΔHOMA-IR in patients with YOD compared to those with LOD. Newly diagnosed T2D patients with YOD required significantly lower insulin doses, particularly basal insulin doses, to maintain glycemic control compared to the LOD patients.

Medications Adherence and Associated Factors among Patients with Type 2 Diabetes Mellitus in the Gaza Strip, Palestine

AIM

The aim of this study was to evaluate the adherence to anti-diabetic medications among patients with type 2 diabetes mellitus (DM) seeking medical care in the Gaza Strip, Palestine.

METHODS

A cross-sectional study was conducted among 369 primary care patients with type 2 DM from October to December 2016. Adherence to medications was measured using the Morisky Medication Adherence Scale (MMAS-4). Socio-demographic and clinical variables, provider-patient relationship, health literacy, and health belief were examined for each patient. Univariate, binary logistic regression and multiple linear regression were applied to determine the independent factors influencing adherence to anti-diabetic medications using SPSS version 22.

RESULTS

Of all the respondents, 214 (58%), 146 (39.5%), and nine (2.5%) had high (MMAS score = 0), medium (MMAS score = 1 + 2), and low (MMAS score ≥ 3) adherence to anti-diabetic medications, respectively. Factors that were independently associated with adherence to anti-diabetic medications were as follows: female gender [odds ratio (OR): 1.657, 95% confidence interval (CI): 1.065-2.578] and perception of disease's severity (OR: 1.510, 95% CI: 0.410-5.560). Elderly (t = 1.345) and longer duration of DM (t = 0.899) were also predictors of adherence but showed no statistical significance (p > 0.05).

CONCLUSION

The level of complete adherence to anti-diabetic medications was sub-optimal. New strategies that aim to improve patients' adherence to their therapies are necessary taking into consideration the influencing factors and the importance of having diabetes educators in the primary care centers.

Medication-taking behaviour in New South Wales patients with type 2 diabetes: an observational study

This study aimed to (1) determine adherence to diabetes medication in type 2 diabetes (T2D) patients; (2) describe respondents' attitudes and beliefs about medications, and barriers to adherence; and (3) to model predictors of non-adherence. Data were collected using online and postal surveys. Diabetes patients aged 18 years who were members of the Australian Diabetes Council were invited to participate. Main outcome measures were adherence to diabetes medication using 8-item Morisky Medication Adherence Score (MMAS-8) and beliefs about medication using the Beliefs about Medicines Questionnaire. A total of 543 T2D patients responded to the survey. The median (interquartile range) MMAS-8 score was 6.8 (5.0-7.0). The prevalence of adherence (MMAS-8 score 6) was 64.6%. The proportion of respondents who expressed concern about taking medications was 53.6%. Potential predictors of adherence included age (OR, 1.83; 95% CI, 1.19-2.82), concern about medication (OR, 0.91; 95% CI, 0.87-0.96), knowledge of diabetes (OR, 0.85, 95% CI, 0.73-0.99), having difficulty in paying for medication (OR, 0.51; 95% CI, 0.33-0.79), having more than one regular pharmacy (OR, 0.59; 95% CI, 0.36-0.95), and using insulin (OR, 0.49; 95% CI, 0.30-0.81). Adherence to taking diabetes medication in a sample of the Australian T2D patient population was suboptimal. An understanding of medication-taking behaviour will assist health-care professionals to deliver appropriate and effective interventions to enhance adherence and optimise diabetes control in T2D patients.

Predicting Noninsulin Antidiabetic Drug Adherence Using a Theoretical Framework Based on the Theory of Planned Behavior in Adults With Type 2 Diabetes: A Prospective Study

Understanding the process behind noninsulin antidiabetic drug (NIAD) nonadherence is necessary for designing effective interventions to resolve this problem. This study aimed to explore the ability of the theory of planned behavior (TPB), which is known as a good predictor of behaviors, to predict the future NIAD adherence in adults with type 2 diabetes. We conducted a prospective study of adults with type 2 diabetes. They completed a questionnaire on TPB variables and external variables. Linear regression was used to explore the TPB's ability to predict future NIAD adherence, which was prospectively measured as the proportion of days covered by at least 1 NIAD using pharmacy claims data. The interaction between past NIAD adherence and intention was tested. The sample included 340 people. There was an interaction between past NIAD adherence and intention to adhere to the NIAD (P = 0.032). Intention did not predict future NIAD adherence in the past adherers and nonadherers groups, but its association measure was high among past nonadherers (β = 5.686, 95% confidence interval [CI] -10.174, 21.546). In contrast, intention was mainly predicted by perceived behavioral control both in the past adherers (β = 0.900, 95% CI 0.796, 1.004) and nonadherers groups (β = 0.760, 95% CI 0.555, 0.966). The present study suggests that TPB is a good tool to predict intention to adhere and future NIAD adherence. However, there was a gap between intention to adhere and actual adherence to the NIAD, which is partly explained by the past adherence level in adults with type 2 diabetes.

Adherence to diabetes medication: a systematic review

AIMS

To investigate the extent of and factors associated with adherence to Type 2 diabetes medication.

METHODS

The CINAHL, Embase, International Pharmaceutical Abstracts, Medline, PubMed and PsychINFO databases were searched for the period January 2004 to July 2013. Papers were included in the present review if they reported the prevalence of adherence (the percentage of the study population that is classified as adherent) to Type 2 diabetes medication and used validated adherence measures with a defined cut-off point to indicate adherence. Reported factors were classified as potential predictors if the studies that examined that particular variable reported consistent findings.

RESULTS

Of the 27 studies included in the present review, the prevalence of adherence ranged from 38.5 to 93.1%. Only six out of 27 studies (22.2%) reported prevalence of adherence of ≥ 80% among their study population. Depression and medication cost were found to be consistent and potentially modifiable predictors for diabetes medication-taking behaviour. The associations between adherence and other factors were inconsistent among the reviewed studies.

CONCLUSIONS

Adherence to diabetes medication remains an ongoing problem. This review has highlighted the urgent need to develop consensus about what constitutes good adherence in diabetes. Further research is needed to clarify modifiable factors, in addition to depression and medication cost, that influence adherence and may provide a focus for targeted interventions to promote adherence, optimize diabetes control and limit the progression of diabetes.

Adherence to anti diabetic medication among patients with diabetes in eastern Uganda; a cross sectional study

BACKGROUND

Lack of adherence to anti diabetic medication causes suboptimal blood sugar control among patients with diabetes and can lead to treatment failures, accelerated development of complications and increased mortality. This study assessed factors associated with adherence to anti diabetic medication in rural eastern Uganda.

METHODS

A cross sectional study was conducted among 521 patients with diabetes in Iganga and Bugiri hospitals between October 2012 and January 2013. Respondents were patients who were18 years and above and had been on diabetic treatment for not less than a month. Pretested questionnaires were used. Variables that were collected included socio-demographic characteristics, possible barriers to adherence, and self management efforts. Adherence was assessed using self reports. Descriptive and inferential statistics were done to determine adherence to anti diabetic medication and the associated factors.

RESULTS

The level of adherence to anti diabetic medication was 83.3% and factors that were independently associated with adherence were; having been on anti diabetic drugs for at least three years (OR = 1.89, 95% CI = 1.11 - 3.22), availability of diabetic drugs (OR = 2.59, 95% CI = 1.54 - 3.70), and having ever had diabetic health education (OR = 4.24, 95% CI =1.15 - 15.60).

CONCLUSION

About four in five patients adhere to anti-diabetic treatment. Strategies aimed at improving anti diabetic drug availability and providing health education could improve adherence.

Prescribing patterns and adherence to medication among South-Asian, Chinese and white people with type 2 diabetes mellitus: a population-based cohort study

AIM

To determine the prescribing of and adherence to oral hypoglycaemic agents, insulin, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers and statin therapy among South-Asian, Chinese and white people with newly diagnosed diabetes.

METHODS

The present study was a population-based cohort study using administrative and pharmacy databases to include all South-Asian, Chinese and white people aged ≥ 35 years with diabetes living in British Columbia, Canada (1997-2006). Adherence to each class of medication was measured using proportion of days covered over 1 year with optimum adherence defined as ≥ 80%.

RESULTS

The study population included 9529 South-Asian, 14 084 Chinese and 143 630 white people with diabetes. The proportion of people who were prescribed angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, statin or oral hypoglycaemic agents was ≤ 50% for all groups. South-Asian and Chinese people had significantly lower adherence for all medications than white people, with the lowest adherence to angiotensin-converting enzyme inhibitor treatment (South-Asian people: adjusted odds ratio 0.37, 95% CI 0.34-0.39; P<0.0001; Chinese people: adjusted odds ratio 0.50, 95% CI 0.47-0.54; P<0.0001) and statin therapy (South-Asian people: adjusted odds ratio 0.47, 95% CI 0.41 - 0.53, P < 0.0001; Chinese people: adjusted odds ratio 0.72, 95% CI 0.67 - 0.77; P<0.0001) compared with white people.

CONCLUSION

Adherence to evidence-based pharmacotherapy was substantially worse among the South-Asian and Chinese populations. Care providers need to be alerted to the high levels of non-adherence in these groups and the underlying causes need to be investigated.

Metabolic profiles and treatment gaps in young-onset type 2 diabetes in Asia (the JADE programme): a cross-sectional study of a prospective cohort

BACKGROUND

The prevalence of diabetes is increasing in young adults in Asia, but little is known about metabolic control or the burden of associated complications in this population. We assessed the prevalence of young-onset versus late-onset type 2 diabetes, and associated risk factors and complication burdens, in the Joint Asia Diabetes Evaluation (JADE) cohort.

METHODS

JADE is an ongoing prospective cohort study. We enrolled adults with type 2 diabetes from 245 outpatient clinics in nine Asian countries or regions. We classified patients as having young-onset diabetes if they were diagnosed before the age of 40 years, and as having late-onset diabetes if they were diagnosed at 40 years or older. Data for participants' first JADE assessment was extracted for cross-sectional analysis. We compared clinical characteristics, metabolic risk factors, and the prevalence of complications between participants with young-onset diabetes and late-onset diabetes.

FINDINGS

Between Nov 1, 2007, and Dec 21, 2012, we enrolled 41,029 patients (15,341 from Hong Kong, 9107 from India, 7712 from Philippines, 5646 from China, 1751 from South Korea, 705 from Vietnam, 385 from Singapore, 275 from Thailand, 107 from Taiwan). 7481 patients (18%) had young-onset diabetes, with age at diagnosis of mean 32·9 years [SD 5·7] versus 53·9 years [9·0] with late-onset diabetes (n=33,548). Those with young-onset diabetes had longer disease duration (median 10 years [IQR 3-18]) than those with late-onset diabetes (5 years [2-11]). Fewer patients with young-onset diabetes achieved HbA1c concentrations lower than 7% compared to those with late-onset diabetes (27% vs 42%; p<0·0001) Patients with young-onset diabetes had higher mean concentrations of HbA1c (mean 8·32% [SD 2·03] vs 7·69% [1·82]; p<0·0001), LDL cholesterol (2·78 mmol/L [0·96] vs 2·74 [0·93]; p=0·009), and a higher prevalence of retinopathy (1363 [20%] vs 5714 (18%); p=0·011) than those with late-onset diabetes, but were less likely to receive statins (2347 [31%] vs 12,441 [37%]; p<0·0001) and renin-angiotensin-system inhibitors (1868 [25%] vs 9665 [29%]; p=0·006).

INTERPRETATION

In clinic-based settings across Asia, one in five adult patients had young-onset diabetes. Compared with patients with late-onset diabetes, metabolic control in those with young-onset diabetes was poor, and fewer received organ-protective drugs. Given the risk conferred by long-term suboptimum metabolic control, our findings suggest an impending epidemic of young-onset diabetic complications.

FUNDING

The Asia Diabetes Foundation (ADF) and Merck.

Association between the 8-item Morisky medication adherence scale (MMAS-8) score and glycaemic control among Chinese diabetes patients

Adherence with oral hypoglycaemic agent is crucial to achieve optimal glycaemic control. The 8-item Morisky Medication Adherence Scale (MMAS-8) has been frequently used, yet the association between MMAS-8 score and glycaemic control among Chinese diabetes patients is largely unknown. Two general out-patient clinics were randomly selected in a district with socio-demographic characteristics representative of the entire Hong Kong population. A consecutive sample of adult type-2 diabetes patients currently taking oral hypoglycaemic agents was included. The glycaemic control was reflected by the level of hemoglobin A1c (HbA1c) taken within the previous 6 months. Factors associated with poor glycaemic control (HbA1c ≥ 7.0%) were evaluated by linear regression analysis. From 565 eligible Chinese patients with an average age of 63.2 years (SD 9.7) and male proportion of 46.5%, the average HbA1c was 7.1% (SD 1.1%), and 52.0% had poor glycaemic control. The proportion of poor medication adherence (MMAS-8 ≤ 6) was 32.2%. After controlling for socio-demographics, lifestyle, medication use, and health characteristics, the MMAS-8 score was correlated with better glycaemic control (beta -0.095; 95%CI -0.164 to -0.026, P = .007). The MMAS-8 score had a weak and negative correlation with HbA1c level. The instrument should be applied with caution when predicting glycaemic control in clinical practice.

The association between multimorbidity and poor adherence with cardiovascular medications

Multimorbidity, defined as the presence of two or more chronic conditions, leads to a substantial public health burden. This study evaluated its association with adherence with cardiovascular medications in a Chinese population. A proportional stratified sampling was adopted to draw a representative sample of residents living in Henan Province, China. Interviewer-administered surveys were conducted by trained researchers. The outcomes included the number of chronic medical conditions, adherence with long-term medications (MMAS-8), and depressive symptoms (CESD-20). Binary logistic regression analysis was conducted to evaluate if medication adherence was associated with the presence of multimorbidity. From a total of 3866 completed surveys, the proportion of subjects having 0, 1 and ≥2 chronic conditions was 62.6%, 23.8% and 13.5%, respectively. Among 27.6% who were taking chronic medications, 66.6% had poor medication adherence (MMAS-8 score≤6). From binary logistic regression analysis, subjects with poor medication adherence were significantly associated with multimorbidity (adjusted odds ratio [AOR]: 1.35, 95% C.I. 1.02-1.78, p=0.037). Other associated factors included older age (AOR=1.04, 95% C.I. 1.03-1.05, p<0.001), smoking (AOR=1.63, 95% C.I. 1.16-2.30, p=0.005), family history of hypertension (AOR=1.51, 95% C.I. 1.19-1.93, p=0.001), and fair to poor self-perceived health status (AOR=2.15, 95% C.I. 1.69-2.74, p<0.001). Using medication adherence as the outcome variable, multimorbidity was significantly associated with poor drug adherence (AOR=1.34, 95% C.I. 1.02-1.77, p=0.037). Multimorbidity was associated with poorer medication adherence. This implies the need for closer monitoring of the medication taking behavior among those with multiple chronic conditions.

An evaluation of patients' adherence with hypoglycemic medications among Papua New Guineans with type 2 diabetes: influencing factors

PURPOSE

The aims of this study were to evaluate the extent of adherence to hypoglycemic medications, assess the relationship between adherence and glycemic control, and evaluate factors affecting adherence.

RESEARCH DESIGN AND METHODS

This was a cross-sectional study of patients with established type 2 diabetes attending the Port Moresby General Hospital Diabetes Clinic. Face-to-face interviews were conducted using a questionnaire designed for the study and data were collected concerning the 3 months prior to interview. The questionnaire covered demographic details, lifestyle, biochemical and physical measurements, and medication management. Glycemic control was investigated among patients adhering to their medications (not missing doses) to different degrees (100%, 95%, 90%, and 80%).

RESULTS

Of a total of 356 participants who were prescribed hypoglycemic medications, 59.6% omitted some of their doses. Age appeared to have a significant impact on adherence at some levels of adherence, with those aged >60 years being more likely to be adherent (logistic regression). Those who were 95%-99% and those who were <80% adherent had a statistically significant risk of a high glycated hemoglobin of >10% (85.5 mmol/mol). Multiple factors were identified as contributors to nonadherence, with patient-based issues (86.0%) and the health care system (21.7%) being the most common.

CONCLUSION

This study showed a significant level of nonadherence among patients with type 2 diabetes in Papua New Guinea. Nonadherence to medication appeared to be associated with poor glycemic control and was due to a variety of reasons. Future interventions aimed at improving adherence will need to take these into account.

Pharmacy effect on adherence to antidiabetic medications

BACKGROUND

There have been a number of studies relating medication adherence to patient characteristics. There is less research on influence of health care providers on patients' medication-taking behavior.

OBJECTIVES

To evaluate the pharmacy-level effect on medication adherence for patients receiving antidiabetic medications.

RESEARCH DESIGN

This was a hypothesis-driven retrospective study using cross-sectional design and insurance claims data. The main analytical interest was the pharmacy-level effect on proportion of days covered as the measure of medication adherence. Multilevel random and mixed-effect models were used to tease out the pharmacy-level effect on patient outcomes.

SUBJECTS

The study population consisted individuals aged 18-64 years, insured under employer-sponsored private health plans.

RESULTS

We estimated models with and without covariates. In both models, pharmacy cluster effect was statistically significant (P<0.001). In the model without covariates, pharmacy cluster effect accounted for 12.8% (95% confidence interval, 12.4%-13.1%) of total variance in adherence, whereas in the model with covariates pharmacies accounted for 12.1% (95% confidence interval, 11.6%-12.4%) of total variance. Covariates associated significantly with adherence were age, sex, mail order pharmacy, and prescription drug copay.

CONCLUSIONS

The results suggest significant variation in medication adherence attributable to pharmacy factor, independent of other effects. The underlying reason could be varying level of influence from pharmacies' efforts to inform or influence patients to take medications in prescribed manners. More research is necessary to better understand the effect of specific pharmacy characteristics and practice styles differences.

Predictors of medication adherence postdischarge: the impact of patient age, insurance status, and prior adherence

BACKGROUND

Optimizing postdischarge medication adherence is a target for avoiding adverse events. Nevertheless, few studies have focused on predictors of postdischarge medication adherence.

METHODS

The Pharmacist Intervention for Low Literacy in Cardiovascular Disease (PILL-CVD) study used counseling and follow-up to improve postdischarge medication safety. In this secondary data analysis, we analyzed predictors of self-reported medication adherence after discharge. Based on an interview at 30-days postdischarge, an adherence score was calculated as the mean adherence in the previous week of all regularly scheduled medications. Multivariable linear regression was used to determine the independent predictors of postdischarge adherence.

RESULTS

The mean age of the 646 included patients was 61.2 years, and they were prescribed an average of 8 daily medications. The mean postdischarge adherence score was 95% (standard deviation [SD] = 10.2%). For every 10-year increase in age, there was a 1% absolute increase in postdischarge adherence (95% confidence interval [CI] 0.4% to 2.0%). Compared to patients with private insurance, patients with Medicaid were 4.5% less adherent (95% CI -7.6% to -1.4%). For every 1-point increase in baseline medication adherence score, as measured by the 4-item Morisky score, there was a 1.6% absolute increase in postdischarge medication adherence (95% CI 0.8% to 2.4%). Surprisingly, health literacy was not an independent predictor of postdischarge adherence.

CONCLUSIONS

In patients hospitalized for cardiovascular disease, predictors of lower medication adherence postdischarge included younger age, Medicaid insurance, and baseline nonadherence. These factors can help predict patients who may benefit from further interventions.

Pharmacoepidemiological profiles of oral hypoglycemic agents among 28,773 Chinese patients with diabetes

AIMS

This study examined the rates of discontinuation of Oral Hypoglycemic Agents (OHAs) in diabetes patients, and to evaluate the associations between discontinuation of OHAs, socioeconomic status and the number of comorbidities.

METHODS

A cohort study from January 2004 to June 2007 was conducted and followed up through December 2007. We included all primary care clinics in one large territories of Hong Kong involving 28,773 Chinese diabetes patients. Multivariate regression analyses controlled for age, gender, payment status (fee-payers vs. fee waivers; fee-waivers represented those less able to pay for consultation fees and were regarded as having lower socioeconomic status), service type delivered by the clinics, district of residence, visit type (new vs. follow-up), the number of comorbidities and the drug class (sulphonylureas vs. biguanide vs. combination therapy).

RESULTS

9.9% discontinued their medications within 180 days of their prescriptions. Fee waivers (adjusted odds ratio [AOR] for fee payers=0.81, 95% C.I. 0.73-0.89, p<0.001) and the absence of comorbidities (AOR for ≥one morbidity=0.59-0.62, p<0.001) were associated with medication discontinuation.

CONCLUSIONS

Diabetes patients with lower ability to pay and without comorbidities were significantly associated with OHAs discontinuation. They should be the target groups for medication counseling programmes.