Venue of receiving diabetes self-management education and training and its impact on oral diabetic medication adherence

Factors related to barriers and medication adherence in patients with type 2 diabetes mellitus: a cross-sectional study

Purpose

Evidence has shown that 50% of patients, including type 2 diabetes mellitus (DM), are non-adherent to the prescribed antidiabetic medication regimen. Some barriers lead to nonadherence in people with DM type 2. The study aimed to identify factors related to adherence in patient with DM and to assess the correlation between barriers to adherence type 2 DM patients.

Methods

The cross-sectional study was conducted in 63 primary healthcare centers in Surabaya, Indonesia. Patients with DM type 2 were recruited between April and September 2019 using convenient sampling technique. Ethics approval was obtained (80/EA/KEPK/2019).

Results

A total of 266 patients with type 2 DM participated in this study. Of the respondents, 201 (75.2%) were female. Unwanted drug effects, changes in medication regimens, and refilling the prescription when the drugs run out were most reported factors that affected adherence. Spearman correlations and linear regression tests were used to examine the relationship between barriers to medication adherence, and education with medication adherence. A significant difference was observed between the level of education and adherence (p = 0.031). The results showed an association between barriers to medication and adherence to medication (r = 0.304; p < 0.001) which was confirmed in regression analysis (R = 0.309, R square = 0.095, p <0.001).

Conclusions

Barriers to adherence are common and affect adherence to therapy. It is essential to expand the roles of health care professionals in the community to include counseling, barrier-monitoring, education, and problem-solving to improve patient medication adherence.

Delivery of healthcare provider's lifestyle advice and lifestyle behavioural change in adults who were overweight or obese in pre-diabetes management in the USA: NHANES (2013-2018)

OBJECTIVE

The purpose of this study is to examine the association between delivery of healthcare provider's advice about lifestyle management and lifestyle behavioural change in pre-diabetes management in adults who were overweight or obese.

DESIGN

This cross-sectional study included adults with body mass index (BMI) ≥25 kg/m² and reporting pre-diabetes in USA. Outcomes included the prevalence of receiving provider's advice on lifestyle management and patterns of practicing lifestyle change. The association between delivery of provider's advice and lifestyle-related behavioural change in pre-diabetes management was examined.

SETTING

US Continuous National Health and Nutrition Examination Survey (2013-2018).

PARTICIPANTS

A total of 1039 adults with BMI ≥25 kg/m² reported pre-diabetes.

RESULTS

Of eligible adults with pre-diabetes, 76.8% received provider's advice about lifestyle change. The advice group showed higher proportions of ongoing lifestyle change than no advice group, including weight reduction/control (80.1% vs 70.9%, p=0.018), exercise (70.9% vs 60.9%, p=0.013) and diet modifications (83.8% vs 61.8%, p<0.001). After adjustment, those receiving provider's advice were more likely to increase exercise (OR 1.63, 95% CI 1.12 to 2.38) and modify diet (OR 3.0, 95% CI 1.82 to 4.96).

CONCLUSION

Over 75% of US adults who were overweight or obese and reported pre-diabetes received healthcare provider's advice about reducing the risk of diabetes through lifestyle change. Provider's advice increased the likelihood of lifestyle-related behavioural change to exercise and diet.

The effects of medication adherence on study outcomes in randomized clinical trials: A role for cognitive dysfunction?

Medication nonadherence is common and has been associated with poor health outcomes. Older adults are especially likely to be non-adherent to their medications, as they often have more medications to manage and are at greater risk for cognitive dysfunction. Though less frequently examined, the association between cognitive dysfunction and nonadherence also likely extends to clinical trials research. The current study used archival data to examine the potential impact of cognitive dysfunction on adherence to a nutritional supplement as part of a 90-day randomized clinical trial in neurologically healthy middle-aged and older adults. Results showed overall cognitive performance was predictive of adherence to capsule intake when controlling for polypharmacy [F(1,157) = 6.53, p < .01]. These results suggest that cognitive dysfunction may impact findings from RCTs through its adverse impact on adherence to study protocol, possibly leading to greater treatment variance, artificially reduced treatment effects, lower study power, and distorted study outcomes and conclusions. A better understanding of methodological and statistical approaches to account for these unwanted effects are needed.

Addressing Lifestyle Management During Visits Involving Patients with Prediabetes: NAMCS 2013-2015

BACKGROUND

The gap between treatment guidelines and clinical practice in prediabetes management has been identified in previous studies. The knowledge related to addressing lifestyle change during office visits in clinical practice to manage prediabetes is limited.

OBJECTIVE

To describe patterns of lifestyle management addressed during office-based visits involving patients with prediabetes and identify factors associated with addressing lifestyle management during physician office visits in the USA.

DESIGN

Cross-sectional study PARTICIPANTS: US National Ambulatory Medical Care Survey (NAMCS) data from 2013 to 2015 were combined to identify office-based visits involving patients with prediabetes.

MAIN MEASURES

The major outcome is lifestyle management including diet/nutrition, exercise, and/or weight reduction. Patient and physician characteristics were collected for analysis. The prevalence and patterns of addressing lifestyle management during visits were estimated and described. Multivariate logistic regression model identified significant factors associated with lifestyle management. The patient visit weight was applied to all analyses to achieve nationally representative estimates.

KEY RESULTS

Among 4039 office-based visits involving patients with prediabetes between 2013 and 2015, 22.8% indicated lifestyle management was addressed during the visits. Diet/nutrition, exercise, and weight reduction accounted for 86.1%, 62.6%, and 34.1% of the visits with lifestyle management addressed, respectively. Lifestyle management was more likely to be addressed during the visits involving patients with hyperlipidemia (OR = 1.74, 95% CI 1.24-2.46) and obesity (OR = 4.03, 95% CI 2.91-5.56), seeing primary physicians (vs. other specialties, OR = 1.46, 95% CI 1.03-2.08), and living in the southern region (vs. northeast, OR = 1.96, 95% CI 1.20-3.19).

CONCLUSIONS

The prevalence of addressing lifestyle management during office visits involving patients with prediabetes remained low in the USA. Patients' clinical characteristics, geographic region, and physician's specialty were associated with addressing lifestyle management during the visits.

Developing "Aryan:" Diabetes Self-care Mobile Application

Background:

Diabetes as a chronic and progressive disease leads to multiple complications. Therefore, it is important to control and treat it. More effective control of this condition and the provision of therapeutic approaches require awareness and active participation of patients in self-care. In this regard, a smartphone that is accessible to most people at anytime and anywhere and is easily applicable can be useful in self-care diabetes, with the ability to install various applications. This study aimed to develop a diabetes self-care mobile application as a suitable solution for self-managing diabetes for Iranians.

Methods:

We conducted a mixed methods study in three Phases: (1) comparative study of existing mobile applications; (2) developed its object-oriented conceptual model; and (3) developed the initial version of “Aryan” that was approved for production.

Results:

This application was designed for the appropriate diabetes self-care, with following functionalities: The user ID and his/her personal page setting; generating self-care reports such as blood glucose, nutrition, physiological indicators, physical activities, and patient history reports; care setting; providing patient training materials; nutrition control; insulin and other medications control; blood glucose and key tests control; and other paraclinical tests.

Conclusions:

“Aryan” has been designed in compliance with Iranian experts’ opinions. It is expected “Aryan” plays an effective role in self-care of patients with diabetes.