scholarly journals Exploring variables associated with medication non-adherence in patients with type 2 diabetes mellitus

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256666
Author(s):  
Walid Al-Qerem ◽  
Anan S. Jarab ◽  
Mohammad Badinjki ◽  
Dana Hyassat ◽  
Raghda Qarqaz

Objective This study aims to assess medication adherence and explore its predictors in outpatients with type 2 diabetes. Method This cross-sectional study collected socio-demographics, disease-related information, and different biomedical variables for type 2 diabetes patients attending a Jordanian Diabetes center. The four-item medication adherence scale (4-IMAS) and the beliefs about medications questionnaire (BMQ) which includes necessity and concerns were used. Stepwise backward quartile regression models were conducted to evaluate variables associated with the Necessity and Concerns scores. Stepwise ordinal regression was conducted to evaluate variables associated with adherence. Results 287 diabetic patients participated in the study. Almost half of the participants (46.5%) reported moderate adherence and 12.2% reported low adherence. Significant predictors of the adherence were necessity score (OR = 14.86, p <0.01), concern score (OR = 0.36, p <0.05), and frequency of medication administration (OR = 0.88, p- <0.01). Education was a significant predictor of Necessity and Concerns scores (β = 0.48, -0.2, respectively). Conclusion Simplifying the medication regimen, emphasizing medication necessity and overcoming medication concerns should be targeted in future diabetes intervention programs to improve medication adherence and hence glycemic control among diabetic patients.

Author(s):  
PRATHYUSHA RANI T ◽  
PRASHANTHI B ◽  
AYESHA AMREEN FATHIMA ◽  
AYESHA FIRDOSE ◽  
SARA NASER ◽  
...  

Objective: This study was conducted to determine the adherence of medications among type 2 diabetes mellitus (DM) patients. To evaluate adherence to therapy and study factors associated with non-adherence and adherence in patients with type II DM. Methods: A cross-sectional, observational study was conducted for 6 months in three hospitals. A total of 200 type II diabetic patients, who were on anti-diabetic drug therapy for at least 6 months, were enrolled. Blood glucose was measured and details of drug therapy were noted. Medication adherence was assessed using the Morisky Medication Adherence Scale and adherence scores were calculated. Results: Only 15% had high medication adherence, while 24% had moderate and 61% had low medication adherence. Only 30% were having optimally controlled glycemic levels, whereas 70% were having uncontrolled glycemic levels. Medication adherence scores were lower (reflecting lower adherence) in type II patients with uncontrolled glycemic levels than those having optimally controlled glycemic levels, but this difference was not statistically significant. Conclusion: Overall, medication adherence was low in type II diabetic patients. The study shows that to improve medication adherence, better counseling and health education of patients are required. Although several patients were adherent to therapy, adherent patients are more preferably to achieve glycemic control than nonadherent patients. Greater efforts are needed to facilitate diabetes self-management behaviors to improve patient outcomes.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 435
Author(s):  
Ameena Asheq ◽  
Akram Ashames ◽  
Moawia Al-Tabakha ◽  
Nageeb Hassan ◽  
Ammar Jairoun

Background: Patients with chronic diseases often experience difficulty adhering to recommended treatments as instructed by their healthcare professionals. Recently, diabetes has been associated with the severity of the novel coronavirus disease (Covid-19), which raises the importance of improving medication adherence for diabetic patients to enhance the right use of antidiabetics amid the Covid-19 pandemic. Methods: This work assesses medication adherence among type 2 diabetes mellitus patients in the United Arab Emirates (UAE) and identifies the set of key demographic and health factors significantly associated with medication adherence. A descriptive cross-sectional study was conducted on an appropriate sample of type 2 diabetic patients in the UAE, with 180 patients of both genders and various social levels. A validated version of the eight-item Morisky Medication Adherence Scale (MMAS) was used for data collection. Results:  The average MMAS score was 4.88, with 95% confidence intervals (CI) 4.6 and 5.2. 61.67% (n=111), 28.89% (n=52), and 9.44% (n=17) of patients were categorized into low, medium, and high adherent groups, respectively. These findings indicate that a high level of non-compliance to antidiabetic regimens among the population in the UAE. Conclusions: Patients demonstrated low level of compliance to antidiabetic regimens. Therefore, they must receive up-to-date knowledge about the disease and the treatment and enable easy access to their health care providers to enhance medication adherence.


F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 435
Author(s):  
Ameena Asheq ◽  
Akram Ashames ◽  
Moawia Al-Tabakha ◽  
Nageeb Hassan ◽  
Ammar Jairoun

Background: Patients with chronic diseases often experience difficulty adhering to recommended treatments as instructed by their healthcare professionals. Recently, diabetes has been associated with the severity of the novel coronavirus disease (Covid-19), which raises the importance of improving medication adherence for diabetic patients to enhance the right use of antidiabetics amid the Covid-19 pandemic. Methods: This work assesses medication adherence among type 2 diabetes mellitus patients in the United Arab Emirates (UAE) and identifies the set of key demographic and health factors significantly associated with medication adherence. A descriptive cross-sectional study was conducted on an appropriate sample of type 2 diabetic patients in the UAE, with 180 patients of both genders and various social levels. A validated version of the eight-item Morisky Medication Adherence Scale (MMAS) was used for data collection. Results:  The average MMAS score was 4.88, with 95% confidence intervals (CI) 4.6 and 5.2. 61.67% (n=111), 28.89% (n=52), and 9.44% (n=17) of patients were categorized into low, medium, and high adherent groups, respectively. These findings indicate that a high level of non-compliance to antidiabetic regimens among the population in the UAE. Conclusions: Patients demonstrated low level of compliance to antidiabetic regimens. Therefore, they must receive up-to-date knowledge about the disease and the treatment and enable easy access to their health care providers to enhance medication adherence.


2019 ◽  
Vol 1 (3) ◽  
pp. 107
Author(s):  
Sulistyo Andarmoyo ◽  
Harmy Bin Mohamed Yusoff ◽  
Berhanudin Bin Abdullah ◽  
Yuzana Binti Mohd Yusop

Adherence has an important role in therapy management in patients with type 2 Diabetes Mellitus. This research is to identify and analyze factors related to medication adherence. The design used in this study was a descriptive-analytic design with a cross-sectional approach. The population is type 2 Diabetes Mellitus sufferers of Prolanis Group in Primary Health Care Facilities in the Ponorogo Regency. A sample of 180 respondents was taken by purposive sampling technique. Variable X includes age, gender, education, occupation, income, and length of suffering. Variable Y was medication compliance with type 2 Diabetes Mellitus patients. Data collection used a Morisky Medication Adherence (MMAS-8) questionnaire and was analyzed using the Chi-Square test with a significant level of α <0.05. From the results of the study, it was found that the factors of age, sex, education, employment, income and duration of suffering had a significant relationship with medication adherence for patients with type 2 diabetes mellitus. It is expected that health services develop family and community-based service management. Researchers are further advised to develop programs to improve medication adherence.


2020 ◽  
Vol 6 (1) ◽  
pp. 39-45
Author(s):  
Reny Sulistyowati ◽  
Agnes Dewi Astuti

The level of adherence usually decreases in patients with chronic conditions compared to acute conditions; this is related to the long-term nature of chronic disease due to the most rapid decrease in adherence after the first 6 months of therapy. The decline in compliance not only resulted in poor health outcomes but also had a significant impact on health costs. The purpose of this study was to determine family support for medication adherence in type 2 DM patients. This study used descriptive correlational using a cross-sectional study approach of 100 respondents. Patient demographic data and family support were obtained using a questionnaire while the level of compliance used Morisky Medication Adherence Scales. The results show that there is a relationship between family support and medication adherence in patients with type 2 diabetes, which is viewed from 4 dimensions: appreciation support, emotional support, information support, and instrumental support. Support from family can improve medication adherence in type 2 DM patients.


2017 ◽  
Vol 70 (2) ◽  
pp. 265-270 ◽  
Author(s):  
José Cláudio Garcia Lira Neto ◽  
Mayra de Almeida Xavier ◽  
José Wicto Pereira Borges ◽  
Márcio Flávio Moura de Araújo ◽  
Marta Maria Coelho Damasceno ◽  
...  

ABSTRACT Objective: to identify the prevalence of Metabolic Syndrome and its components in a population of patients with type 2 Diabetes Mellitus. Method: a cross-sectional study was conducted with 201 diabetic patients. A descriptive analysis and Chi-square and Fisher's exact tests ( p <0.05) were performed. Results: the majority of participants were females and overweight, with a mean age of 63.1 years and a low level of education, and categorized as physically inactive. Of all individuals investigated, 50.7% were diagnosed with Metabolic Syndrome and 92% had at least one of the syndrome components with values beyond those recommended. Conclusion: it is essential to take preventive actions and develop studies that help to identify the factors associated with this syndrome.


PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251506
Author(s):  
Shambel Nigussie ◽  
Nigussie Birhan ◽  
Firehiwot Amare ◽  
Getnet Mengistu ◽  
Fuad Adem ◽  
...  

Objective To assess the rate of glycemic control and associated factors among type 2 diabetes mellitus patients at Dilchora Referral Hospital, Dire Dawa, Eastern Ethiopia. Methods A cross-sectional study was conducted from 13 May to 16 August 2019. Type 2 diabetic patients on follow up at Dilchora Referral Hospital who fulfilled the inclusion criteria of the study were included. Systematic random sampling was used to select study participants. Data was collected by a face-to-face interview and review of medical records. The primary outcome was the level of blood glucose during three consecutive visits. Poor glycemic control was defined as a blood sugar level of more than 154 mg/dL based on the average of measurements from three consecutive visits. Multivariate logistic regression analysis was used to identify determinants of glycemic control. Result A total of 394 participants responded to the interview and were included in the final analysis. The overall prevalence of poor glycemic control was 45.2% (95%CI: 40.6%-50.0%). Patients who were on oral anti-diabetic drug plus insulin had more than two times greater chance of poor glycemic control than patients on oral anti-diabetic drug alone: 2.177(95%CI:1.10–4.29). The odds of poor glycemic control in patients who did not understand the pharmacist’s instructions was two times higher than patients with good understanding of instructions 1.86(95%CI: 1.10–3.13). Patients who had poor level of practice were found to have poor glycemic control: 1.69(95% CI: 1.13–2.55). Conclusion The overall prevalence of poor glycemic control was high among type 2 diabetes patients. Oral anti-diabetic drugs in combination with insulin, lack of understanding of pharmacist’s advice, and poor practice of diabetic patients were significant factors of poor glycemic control. Pharmacists should reassure the understanding of patients before discharge during counseling. Optimization of the dose of antidiabetic medications and combination of oral hypoglycemic agents should be considered.


2021 ◽  
Vol 8 ◽  
Author(s):  
Xin Wen ◽  
Zijing Li ◽  
Jianhui Xiao ◽  
Xuane Liu ◽  
Yichi Zhang ◽  
...  

Purpose: To determine the association of myopia with peripapillary and macular microvasculature in eyes with type 2 diabetes using optical coherence tomography angiography (OCTA).Methods: Diabetic patients with and without diabetic retinopathy (DR) were recruited and grouped according to myopic status in this cross-sectional study. Axial length, refractive error, and OCTA parameters were measured. OCTA parameters were analyzed with adjustment of confounding factors and further Bonferroni analysis was performed to determine the differences in multiple group comparisons.Results: Compared with the diabetic eyes without myopia, those with myopia had lower rate of DR (21.82 vs. 35.90%, χ2 = 6.190, P = 0.013), longer axial lengths (24.94 ± 0.75 vs. 23.16 ± 0.64, F = 311.055, P &lt; 0.001) and reduced whole vessel density (VD) of optic nerve head (ONH) (45.89 ± 5.76 vs. 49.14 ± 4.33, F = 19.052, P &lt; 0.001), peripapillary VD (48.75 ± 6.56 vs. 50.76 ± 4.51, F = 7.600, P = 0.006), and reduced thickness of the retinal nerve fiber layer (RNFL) (95.50 ± 12.35 vs. 100.67 ± 13.68, F = 5.020, P = 0.026). In eyes without myopia, the superficial vessel density (SVD) (46.58 ± 4.90 vs. 43.01 ± 4.25; 95% CI, 1.80–4.61; P &lt; 0.001), deep vessel density (DVD) (45.64 ± 6.34 vs. 42.15 ± 6.31; 95% CI, 1.07–5.00; P &lt; 0.001), and FD300 area density (50.31 ± 5.74 vs. 44.95 ± 6.96; 95% CI, 2.88–7.27; P &lt; 0.001) were significant reduced in eyes with DR(DR eyes) comparing to those without DR (NoDR eyes). In eyes with myopia, only SVD were significantly reduced in DR eyes comparing to NoDR eyes (41.68 ± 3.34 vs. 45.99 ± 4.17; 95% CI, 1.10–7.22; P = 0.002). In NoDR eyes, both whole VD of ONH and Peripapillary VD demonstrated a significant decrease in eyes with myopia comparing to those without myopia (49.91 ± 4.36 vs. 45.61 ± 6.32; 95% CI, 1.95–6.27; P &lt; 0.001 and 51.36 ± 4.24 vs. 48.52 ± 6.99; 95% CI, 0.56–5.11; P = 0.006, respectively).Conclusions: In diabetic patients, myopic eyes exhibited lower prevalence of DR and thinner thickness of RNFL. The refractive status could possibly impact the retinal microvascular changes from NoDR to DR stage.


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