Medication adherence and its impact on glycemic control in type 2 diabetes mellitus patients with comorbidity: A multicenter cross-sectional study in Northwest Ethiopia

Impact of Ramadan Fasting on Medication Adherence in Patients with Diabetes Mellitus: Evidence from Indonesia

Background

Diabetes mellitus is a chronic disease that requires long-term drug use and medication compliance to achieve optimal disease control. Indonesia's population is predominantly muslim. Fasting during Ramadan presents unique challenges for patients with diabetes mellitus in maintaining medication adherence due to lifestyle changes, such as mealtimes and medication schedules.

Objective

This study aimed to compare the medication adherence levels among diabetes mellitus patients in Indonesia who fast during the month of Ramadan with those in other regular months.

Methods

A longitudinal study was conducted using a survey of patients with diabetes at the Central Naval Hospital (RSPAL) Dr. Ramelan Surabaya. Data were collected from February to March 2024 using the picture pill count method. Data were analyzed using the chi-square test to determine the differences in medication adherence between the groups recruited during Ramadan and the other months.

Results

In both groups, there was a predominance of single-drug and two-drug combination therapies, with metformin being the most widely used drug. The level of adherence to treatment during Ramadan was significantly lower than that during the regular month (p=0.005). In total, 96.5% of patients showed high levels of compliance during the regular month compared to 89% during Ramadan.

Conclusion

The level of adherence to diabetes treatment among patients with diabetes mellitus during Ramadan was lower than during regular months.

Prediction Models of Medication Adherence in Chronic Disease Patients: Systematic Review and Critical Appraisal

AIMS AND OBJECTIVES

To summarise the currently developed risk prediction models for medication adherence in patients with chronic diseases and evaluate their performance and applicability.

BACKGROUND

Ensuring medication adherence is crucial in effectively managing chronic diseases. Although numerous studies have endeavoured to construct risk prediction models for predicting medication adherence in patients with chronic illnesses, the reliability and practicality of these models remain uncertain.

DESIGN

Systematic review.

METHODS

We conducted searches on PubMed, Web of Science, Cochrane, CINAHL, Embase and Medline from inception until 16 July 2023. Two authors independently screened risk prediction models for medication adherence that met the predefined inclusion criteria. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was employed to evaluate both the risk of bias and clinical applicability of the included studies. This systematic review adhered to the 2020 PRISMA checklist.

RESULTS

The study included a total of 11 risk prediction models from 11 studies. Medication regimen and age were the most common predictors. The use of PROBAST revealed that some essential methodological details were not thoroughly reported in these models. Due to limitations in methodology, all models were rated as having a high-risk for bias.

CONCLUSIONS

According to PROBAST, the current models for predicting medication adherence in patients with chronic diseases exhibit a high risk of bias. Future research should prioritise enhancing the methodological quality of model development and conducting external validations on existing models.

RELEVANCE TO CLINICAL PRACTICE

Based on the review findings, recommendations have been provided to refine the construction methodology of prediction models with an aim of identifying high-risk individuals and key factors associated with low medication adherence in chronic diseases.

PATIENT OR PUBLIC CONTRIBUTION

This systematic review was conducted without patient or public participation.

Based on the multi-theory model perspective, what are the influencing factors of health behavior change among community-dwelling elderly patients with type 2 diabetes in China? A qualitative study

BACKGROUND

The high prevalence of chronic diseases in the elderly, especially type 2 diabetes, poses a major challenge to the global health system. In China, elderly patients with type 2 diabetes mainly rely on family and community for long-term management. In view of the importance of health behavior change in improving the health of patients with chronic diseases, the multi-theory model (MTM), as the fourth generation of theoretical model in the field of health behavior change, provides a new perspective for promoting patients' behavior change in chronic disease management and has been widely used in many health fields. However, from the perspective of research methods, the application of multi-theory model in qualitative research is less, accounting for only 6 % of the total research. In terms of research objects, there is no research applied to diabetes patients. Therefore, this study adopts qualitative research methods and takes MTM theory as the guiding framework to deeply analyze the factors of health behavior change in elderly patients with type 2 diabetes in the community. This paper aims to provide a basis for the development of targeted intervention strategies, explore and optimize MTM constructs, provide a reference for future empirical research, and promote a better understanding and application of MTM.

METHODS

This study used semi-structured interviews and MTM theory as the guiding framework to deeply analyze the factors of health behavior change in elderly patients with type 2 diabetes in the community. Thematic analysis and topic modeling (python machine learning) were used to analyze the interview data simultaneously. By comparing the results of thematic analysis and topic modeling, the key factors for health behavior change with community elderly patients with type 2 diabetes were identified.

RESULTS

This study combined thematic analysis with machine learning and provided a comprehensive and nuanced picture of the key factors for health behavior change among older people with type 2 diabetes in the community. Thematic analysis yielded eight key factors and 19 influencing factors, and python topic modeling yielded eight key factors and eight influencing factors. By comparing the similarities and differences between the results of thematic analysis and python topic modeling, this study finally determined 9 key factors and 20 influencing factors of health behavior change in elderly patients with type 2 diabetes in the community, including The Science of Dietary Rationing and Exercise, Internal self-confidence, Convenience and accessibility of fitness facilities, etc. CONCLUSIONS: In this study, two analytical methods (thematic analysis and topic modeling) were used to analyze the interview results. Nine different key factors and 20 influencing factors were finally identified. In the future, targeted interventions can be carried out based on these related factors to more accurately and efficiently promote the health behavior management of elderly patients with type 2 diabetes in the community and improve the health status of elderly patients with diabetes.

Psychological distress and its impact on glycemic control in patients with diabetes, Northwest Ethiopia

Background

Diabetes distress is the emotional and mental burden of living with diabetes. It can include feelings of frustration, guilt, anxiety, and worry. Understanding the factors contributing to psychological distress and how it affects glycemic control can be crucial for improving patient outcomes. Therefore, this study investigated the association between psychological distress levels and glycemic control in patients with diabetes. It also identified factors associated with severity of psychological distress.

Methods

A multicentre cross-sectional study was conducted among patients with diabetes at selected hospitals in Northwest Ethiopia. Psychological risk distress was measured using the Kessler 10 (K10) questionnaire, validated for this population. Glycemic control was categorized as poor and good based on patients' current glucose records and following recommended guidelines. Logistic regression examined the association between psychological distress levels and glycemic control. Linear regression assessed the association between psychological distress score and other independent variables. p-value <0.05 was considered statistically significant.

Results

More than half (218, 54.2%) of the participants had severe psychological distress with a 27.4 (±4.6) mean score. Patients with moderate [AOR = 1. 85, 95% CI: 1.05-3.76] and severe [AOR = 2.84, 95% CI: 1.32-7.31] distress levels significantly had poor glycemic control compared to those with no distress. BMI [β = 0.61, 95% CI: 0.42, 71], monthly salary [β = -0.41, 95% CI: -67, -0.25], source of healthcare cost [β = -0.75, 95% CI: -2.36, -0.03], SMBG practicing [β = -0.85, 95% CI: -1.93, -0.25], lifestyle modifications [β = -1.66, 95% CI: -3.21, -0.18], number of medical conditions [β = 0.72, 95% CI: 0.57, 2.81], number of medications [β = 2.26, 95% CI: 1.05, 4.57], hypoglycaemia perception [β = 2.91, 95% CI: 1.32, 7.01], and comorbidity and/or complications [β = 3.93, 95% CI: 1.08, 6.72] were significantly associated with severity of psychological distress.

Conclusion

Most patients reported having moderate to severe psychological distress, which in turn, negatively impacted their glycemic control. Interventions incorporating mental health and psychosocial support should be implemented to relieve psychological distress and improve glycemic control.

Machine learning applications to classify and monitor medication adherence in patients with type 2 diabetes in Ethiopia

Background

Medication adherence plays a crucial role in determining the health outcomes of patients, particularly those with chronic conditions like type 2 diabetes. Despite its significance, there is limited evidence regarding the use of machine learning (ML) algorithms to predict medication adherence within the Ethiopian population. The primary objective of this study was to develop and evaluate ML models designed to classify and monitor medication adherence levels among patients with type 2 diabetes in Ethiopia, to improve patient care and health outcomes.

Methods

Using a random sampling technique in a cross-sectional study, we obtained data from 403 patients with type 2 diabetes at the University of Gondar Comprehensive Specialized Hospital (UoGCSH), excluding 13 subjects who were unable to respond and 6 with incomplete data from an initial cohort of 422. Medication adherence was assessed using the General Medication Adherence Scale (GMAS), an eleven-item Likert scale questionnaire. The responses served as features to train and test machine learning (ML) models. To address data imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. The dataset was split using stratified K-fold cross-validation to preserve the distribution of adherence levels. Eight widely used ML algorithms were employed to develop the models, and their performance was evaluated using metrics such as accuracy, precision, recall, and F1 score. The best-performing model was subsequently deployed for further analysis.

Results

Out of 422 enrolled patients, 403 data samples were collected, with 11 features extracted from each respondent. To mitigate potential class imbalance, the dataset was increased to 620 samples using the Synthetic Minority Over-sampling Technique (SMOTE). Machine learning models including Logistic Regression (LR), Support Vector Machine (SVM), K Nearest Neighbor (KNN), Decision Tree (DT), Random Forest (RF), Gradient Boost Classifier (GBC), Multilayer Perceptron (MLP), and 1D Convolutional Neural Network (1DCNN) were developed and evaluated. Although the performance differences among the models were subtle (within a range of 0.001), the SVM classifier outperformed the others, achieving a recall of 0.9979 and an AUC of 0.9998. Consequently, the SVM model was selected for deployment to monitor and detect patients' medication adherence levels, enabling timely interventions to improve patient outcomes.

Conclusions

This study highlights a variety of machine learning (ML) models that can be effectively used to monitor and classify medication adherence in diabetic patients in Ethiopia. However, to fully realize the potential impact of digital health applications, further studies that include patients from diverse settings are necessary. Such research could enhance the generalizability of these models and provide insights into the broader applicability of digital tools for improving medication adherence and patient outcomes in varying healthcare contexts.

Medication Adherence and Treatment Satisfaction With Lipid-Lowering Drugs Among Patients With Diabetes and Dyslipidemia

BACKGROUND

Poor adherence to lipid-lowering drugs in diabetic patients with dyslipidemia increases has been linked with an increased cardiovascular risk. A better understanding of the determinants of adherence to lipid-lowering drugs and treatment satisfaction among people with diabetes and dyslipidemia is crucial.

OBJECTIVE

We aimed to assess the prevalence of adherence to lipid-lowering drugs, identify its determinant factors, and evaluate treatment satisfaction among users of lipid-lowering drugs who have diabetes and dyslipidemia.

METHODS

We surveyed 398 adult patients with diabetes and dyslipidemia, using a validated medication adherence survey (Adherence to Refills and Medications Scale) and a validated treatment satisfaction survey (Treatment Satisfaction Questionnaire for Medication, TSQM). Sociodemographic and medical history data were collected through questionnaires.

RESULTS

The prevalence of poor medication adherence was 36%. Factors associated with poor adherence included adverse reactions to medications, lack of medication availability, and lack of family support. Adherent patients reported lower low-density lipoprotein-cholesterol (LDL-C) and total cholesterol levels, higher treatment satisfaction, and a higher prevalence of cardiovascular disease and comorbidities. Having a family history of dyslipidemia was negatively associated with adherence, while the number of comorbidities positively influenced it. The scores of TSQM components such as effectiveness, global satisfaction, and convenience were significantly higher in people who were adherent or achieved the LDL-C target.

CONCLUSION AND RELEVANCE

Our findings highlight the need for interventions targeting several factors impacting adherence to lipid-lowering drugs in patients with diabetes and dyslipidemia. Managing adverse effects, leveraging family support, and ensuring medication access represent crucial aspects of improving adherence and potentially mitigating cardiovascular risks in this high-risk population.

Insulin therapy adherence and its associated factors among diabetic patients in a Ghanaian primary care hospital

BACKGROUND

Diabetes mellitus (DM) is a global health problem. Adherence to intensive insulin therapy is necessary to achieve better glycemic control in types 1 and 2 DM. This study aimed to evaluate the extent of adherence to insulin therapy, its predictors and to identify barriers to its adherence.

METHOD

This was a cross-sectional survey among adult (≥18 years) diabetic patients who are currently using insulin, either alone or in combination with an oral antidiabetic regimen, and seeking primary care at Kwame Nkrumah University of Science and Technology Hospital in Ghana. A total of one hundred and eight-six patients were conveniently sampled, and interviewed. Insulin adherence was determined using the Medication Adherence Reporting Scale-5. Descriptive statistics, a chi-square test of independence, and a multiple logistic regression analysis were performed using STATA version 14 (StataCorp, TX USA).

RESULTS

The majority of the patients interviewed were over 60 years (40.32%); female (61.83%); married (68.82%); and had completed secondary education (48.39%). 67.20% of the patients were adherent to insulin therapy. Adherence level was associated with age (p = 0.020), marital status (p = 0.001), employment status (p = 0.012), type of DM (p<0.001), regular follow-up (p = 0.007) and comorbidities (p = 0.002) and was only predicted by the type of DM (aOR = 14.82 C.I 1.34-163.50, p-value = 0.028).

CONCLUSION

Adherence to insulin therapy among our study population was suboptimal, which is a concern considering the associated increased risk of complications. Adherence assessment and counselling by healthcare professionals to address barriers to poor adherence must be continually undertaken to achieve optimal glycemic control.

IMPACT OF FINDINGS ON PRACTICE STATEMENTS

Continuous adherence assessment and counselling must be offered to all diabetes mellitus patients on insulin therapy as part of their ambulatory care to help improve outcomes.Using the Medication Adherence Reporting Scale-5 to determine patient adherence levels is an easy-to-use and an inexpensive method; however, it should be used with caution due to the potential for misclassification.Efforts must be made to provide appropriate strategies to deal with barriers to insulin adherence at ambulatory care clinics as part of the individualized comprehensive diabetic care to reduce diabetic complications.

Developing and assessing the "MultiLife" intervention: a mobile health-based lifestyle toolkit for cardiometabolic multimorbidity in diabetes and hypertension management - a type 1 hybrid effectiveness-implementation trial protocol

BACKGROUND

Cardiometabolic multimorbidity (CMM), characterized by the coexistence of diabetes, hypertension, and cardiovascular disease, poses a major health challenge in India, particularly in rural areas with limited healthcare resources. Lifestyle interventions can manage cardiometabolic risk factors, yet adherence remains suboptimal. Mobile health (mHealth) interventions offer a scalable approach for managing CMM by promoting behaviour change and medication adherence. We will develop and evaluate the MultiLife intervention, a mHealth-based lifestyle toolkit aimed at improving CMM management among individuals receiving primary care in Eastern India in the year 2025.

METHODS

This study is a two-arm, cluster-randomized controlled trial with a hybrid Type 1 design involving 840 participants across 18 primary health centres in Odisha and Jharkhand. Using the Health Belief Model as a conceptual framework, the MultiLife intervention will deliver daily digital reminders, weekly health education broadcasts, and ongoing primary care support in the intervention arm, while the control group will receive the standard ongoing primary care support care. The trained healthcare workers will recruit 50 CMM patients, with a 6-month intervention period, during routine visits in each cluster. Primary outcomes include changes in HbA1c from baseline (T0) to end-line (T6). Secondary outcomes include blood pressure, body mass index, physical activity, and dietary habits. Qualitative assessments will explore intervention barriers and facilitators. Implementation outcomes, assessed through the RE-AIM QuEST framework, will evaluate MultiFrame's acceptability, adoption, fidelity, and maintenance. A random-effects regression model will be used for difference-in-difference analysis, adjusting for covariates and within-cluster correlations.

DISCUSSION

The MultiLife trial may provide valuable insights into how mHealth-enabled primary care can enhance patient engagement, adherence, and cardiovascular risk reduction in resource-constrained settings. By integrating patient perspectives, this study could inform scalable digital health strategies for comprehensive CMM management, providing a model for future interventions in similar contexts.

TRIAL REGISTRATION

CTRI.nic.in, CTRI/2024/10/074559, Registered on 1 October 2024.

Adherence to antihypertensive medications and associated factors in patients with hypertension, Oromia, Ethiopia: a multicenter study

Interventions designed to improve medication adherence, and blood pressure control have not been effective globally. There is limited comprehensive understanding regarding the level of drug adherence to antihypertensive medications in Ethiopia, particularly in the study area. This study aimed to assess adherence to antihypertensive medication and associated factors among patients with hypertension on follow-up at public health facilities of Adama town, Oromia, Ethiopia. A multicenter cross-sectional study was conducted among 402 patients with hypertension from January 1 to February 30, 2022. The objectives of the study were explained to participants in the local language and written informed consent was obtained. The level of adherence was measured by Morisky Medication Adherence Scale. Data were entered into Epidata and exported to Statistical Package for the Social Science for analysis. Bivariable and multivariable logistic regression analyses were conducted to determine associations between independent variables and medication adherence. Adjusted Odds ratios with 95% confidence interval were estimated to assess the strength of associations. Statistical significance was declared at a P-value < 0.05. The proportion of adherence to antihypertensive medication was 63.4% (95% CI: 59.1-66.9). Respondents under the age of 49 years ( (AOR = 2.3, 95% CI: 1.009-5.459), ages 49-59 years (AOR = 3.2, 95% CI: 1.452-7.396), and ages 60-71 years (AOR = 2.7,95% CI: 1.207-6.066), who were married (AOR = 2.1, 95% CI: 1.056-4.19), urban residents (AOR = 3.9, 95% CI: 1.486-10.949), and patients with a monthly income between 5500 and 8249 Ethiopian Birr (AOR = 4.150, CI: 1.083-15.097) were more likely to be adherent to antihypertensive medications. : The adherence to the antihypertensive drug in this study was lower compared to the expected index, 80%. Education and counseling should focus on older age, rural residents, single, and patients with higher monthly incomes.

Perceived Barriers to Healthy Lifestyle Adherence and Associated Factors Among Patients with Type 2 Diabetes Mellitus: Implications for Improved Self-Care

Background

Many patients with type 2 diabetes mellitus (T2DM) face barriers to maintain a healthy lifestyle. This study investigated the perceived barriers to healthy eating and physical activity and compared them by demographic and diabetes-related characteristics among patients with T2DM.

Methods

A cross-sectional study was conducted among 534 patients with T2DM attending primary healthcare centers in Hail City from January to June 2023. Data analyzed at a significance level of <0.05.

Results

Barriers to healthy eating and physical activity were perceived by 34.9% and 28% of patients, re-spectively. Personal and environmental barriers to healthy eating were perceived more frequently than social barriers (43.0% and 26.9%, respectively). Personal and environmental barriers to physical activity were perceived by 28.0% of patients, followed by social barriers (27.9%). The most frequently perceived barrier to healthy eating was a lack of motivation (61.6%), followed by insufficient information about healthy diets (32.2%). Regarding physical activity, a lack of motivation was the most frequently perceived personal barrier (32.0%), while a lack of a supportive work environment was the most frequently perceived social barrier (33.7%). Patients who were aged between 30 and 40 years, were highly educated, were diagnosed with DM within less than five years, and used insulin injections as a strategy to manage DM reported significantly higher levels of perceived barriers to healthy eating compared to their counterparts. In contrast, patients who were female, married, had poor financial status, and used insulin injections reported significantly higher levels of perceived barriers to physical activity compared to their counterparts.

Conclusion

Over one-third of patients with T2DM seeking medical care in Hail City perceive barriers to healthy eating, mainly a lack of motivation, insufficient diet information. Educational programs that consider the unique characteristics of patients should be developed.

Racial Comparison of the Pharmacokinetics and Safety of Fixed-dose Combination of Dapagliflozin/Sitagliptin in Western and Korean Healthy Adults

PURPOSE

We evaluated the pharmacokinetics, safety, and tolerability of a fixed-dose combination (FDC) of dapagliflozin/sitagliptin versus individual component (IC) tablets in healthy Western and Korean participants. The combination of these antihyperglycemic drugs provides efficient glucose control, and the use of FDC has generally been shown to improve medication adherence in individuals with type 2 diabetes mellitus (T2DM).

METHODS

Two randomized, open-label, two-period, two-treatment, single-dose, single-center, crossover bioequivalence studies conducted on healthy fasted German participants (aged 18-55 years; Western study) and South Korean participants (aged 19-55 years; Korean study) were included. In both studies, pharmacokinetic parameters (maximum [peak] plasma concentration [Cmax], area under the plasma concentration-time curve from zero to the last quantifiable concentration [AUClast], and area under the plasma concentration-time curve from zero to infinity [AUCinf]) were used to assess the bioequivalence of 10 mg dapagliflozin/100 mg sitagliptin FDC (Treatment A) with their ICs (Treatment B) under fasted conditions. Safety and tolerability were assessed throughout the study.

FINDINGS

Forty-six healthy participants (male, 60.9%; mean age, 39.5 years; mean body mass index [BMI], 23.9 kg/m2) were randomized in the Western study, and 51 healthy participants (male, 100.0%; mean age, 24.6 years; mean BMI, 23.9 kg/m2) were randomized in the Korean study. In both studies, the participants were randomized 1:1 into treatment sequence AB and treatment sequence BA. Dapagliflozin/sitagliptin FDC was bioequivalent to IC tablets in both Western and Korean studies, as the 90% confidence interval of the FDC to IC ratios of the geometric least-squares means of the pharmacokinetic parameters for both dapagliflozin and sitagliptin was within the 0.8000-1.2500 bioequivalence criterion limit. The observed differences in pharmacokinetic parameters, such as Cmax, AUClast, and AUCinf, between the Western and Korean studies were not clinically meaningful. Dapagliflozin/sitagliptin FDC and their ICs were well tolerated, with no serious adverse events reported in any of the study populations.

IMPLICATIONS

The 10 mg dapagliflozin/100 mg sitagliptin FDC and IC formulations were bioequivalent in fasted healthy Western and Korean participants, with no new safety concerns identified, thus offering a useful alternative for patients currently receiving individual medications as part of their treatment regimen.

CLINICAL TRIAL REGISTRATION

Western study (clinicaltrials.gov: NCT05266404) and Korean study (clinicaltrials.gov: NCT05453786).

Adherence to Self-Monitoring of Blood Glucose and Its Related Factors Among Type 2 Diabetic Patients Attending Al-Ahsa Primary Health Care Centers in Saudi Arabia

BACKGROUND

Self-monitoring of blood glucose (SMBG) is a crucial component of diabetes management, but adherence remains suboptimal. This study aimed to evaluate adherence to SMBG among type 2 diabetic patients in Al-Ahsa, Saudi Arabia.

METHODS

A cross-sectional study was conducted among 398 type 2 diabetic patients attending primary healthcare centers. Data were collected through face-to-face or virtual interviews and electronic health records. Adherence levels were categorized as low, moderate, and high.

RESULTS

The majority of participants exhibited moderate adherence to SMBG (58.5%), while 27.1% had low adherence, and 14.3% were highly adherent. The use of oral hypoglycemic medications and insulin injections was associated with higher adherence (p<0.001). Comorbidities, physical exercise, diet, frequency of medical visits, and attendance at diabetes education sessions did not significantly influence adherence.

CONCLUSIONS

Suboptimal adherence to SMBG was observed among type 2 diabetic patients in Al-Ahsa. Targeted interventions addressing individual barriers and integrating technology may improve SMBG adherence and diabetes management.

Level of Adherence to Glaucoma Medication and Its Associated Factors Among Adult Jordanian Patients

BACKGROUND

Glaucoma is considered the second most common cause of blindness in patients above the age of 50. Lack of adherence to glaucoma medications frequently results in undesirable complications, specifically blindness and disability.

PURPOSE

The study's objectives are to evaluate the level of adherence to glaucoma topical medications and factors associated with adherence to glaucoma medications.

PATIENTS AND METHODS

In total, 348 patients, of whom 48.6% were above the age of 65, were recruited. A cross-sectional study from August 2018 to March 2020 was conducted on glaucoma patients who were referred to the Department of Ophthalmology in Royal Medical Services in Amman, Jordan. A questionnaire was employed to collect patients' demographic data, level of adherence, and factors associated with medication adherence. The inclusion criteria include the following: age above 20 years, diagnosis of glaucoma, currently under medical treatment, and willingness to participate in the study. Exclusion criteria include the following: patients who were hospitalized for glaucoma treatment, patients who had unstable medical conditions, and any patients for whom ophthalmologists had determined that they should be excluded for any other reasons.

RESULTS

Almost half (47.1%) of the patients adhered to their personal glaucoma medications, and the most frequent cause of nonadherence was forgetfulness (39.9%), whereas the least common was stopping the drug after feeling better (7.0%).

CONCLUSION

Proper patient education and explanation of the seriousness of medication adherence and its association with treatment outcomes, along with assisting old and disabled patients when applying ophthalmic medications, may positively improve the adherence of patients to glaucoma and other related visual impairment medications.

Medication regimen complexity and its impact on medication adherence in patients with multimorbidity at a comprehensive specialized hospital in Ethiopia

Background

Medication regimen complexity (MRC) is suspected to hinder medication adherence in patients with multiple illnesses. Despite this, the specific impact on Ethiopian patients with multimorbidity is unclear. This study assessed MRC and its impact on medication adherence in patients with multimorbidity.

Methods

A hospital-based cross-sectional study was conducted on patients with multimorbidity who had been followed at the University of Gondar Comprehensive and Specialized Hospital (UoGCSH), Ethiopia, from May to July 2021. Medication complexity was measured using the validated Medication Regimen Complexity Index (MRCI) tool, and the Adherence in Chronic Diseases Scale (ACDS) was used to measure medication adherence. Pearson's chi-square test was used to examine associations between MRCI levels and medication adherence. Ordinal logistic regression analysis was used to determine the impact of MRC and other associated variables on medication adherence. Statistical significance was determined using the adjusted odds ratio (AOR) at p-value <0.05 and its 95% confidence range.

Results

Out of 422 eligible patients, 416 (98.6%) were included in the study. The majority of participants (57.2%) were classified as having a high MRCI score with a mean (±SD) score of 9.7 (±3.4). Nearly half of the patients (49.3%) had low medication adherence. Patients with medium (AOR = 0.43, 95% CI: 0.04, 0.72) and higher (AOR = 0.31, 95% CI: 0.07, 0.79) MRCI levels had lower odds of medication adherence. In addition, monthly income (AOR = 4.59, 95% CI: 2.14, 9.83), follow-up durations (AOR = 2.31, 95% CI: 1.09, 4.86), number of medications (AOR = 0.63, 95% CI: 0.41, 0.97), and Charlson comorbidity index (CCI) (AOR = 0.36, 95% CI: 0.16, 0.83) were significantly associated with medication adherence.

Conclusion

Medication regimen complexity in patients with multimorbidity was found to be high and negatively impacted the levels of medication adherence. Healthcare providers and other stakeholders should seek interventions aimed at simplifying drug regimen complexity and improving adherence.

Insulin therapy in type 2 diabetes: Insights into clinical efficacy, patient-reported outcomes, and adherence challenges

Insulin therapy plays a crucial role in the management of type 2 diabetes as the disease progresses. Over the past century, insulin formulations have undergone significant modifications and bioengineering, resulting in a diverse range of available insulin products. These products show distinct pharmacokinetic and pharmacodynamic profiles. Consequently, various insulin regimens have em-erged for the management of type 2 diabetes, including premixed formulations and combinations of basal and bolus insulins. The utilization of different insulin regimens yields disparate clinical outcomes, adverse events, and, notably, patient-reported outcomes (PROs). PROs provide valuable insights from the patient's perspective, serving as a valuable mine of information for enhancing healthcare and informing clinical decisions. Adherence to insulin therapy, a critical patient-reported outcome, significantly affects clinical outcomes and is influenced by multiple factors. This review provides insights into the clinical effectiveness of various insulin preparations, PROs, and factors impacting insulin therapy adherence, with the aim of enhancing healthcare practices and informing clinical decisions for individuals with type 2 diabetes.

The short- and long-term effects of community-family-doctor-based type 2 diabetes self-management interventions

OBJECTIVES

The popularity of contracted family doctor services in China has been growing in recent years, but community-family-doctor-based type 2 diabetes mellitus (T2DM) intervention programs have yet to be adequately studied. This study was to evaluate the short- and long-term effects of community-family-doctor-based self-management interventions for T2DM and to explore strategies for long-term glycemic control.

STUDY DESIGN

This was a randomized controlled trial.

METHODS

A total of 144 eligible participants were randomly assigned to intervention and control groups. The control group received only routine community diabetes care, and the intervention group received community-family-doctor-based interventions involving the same standard of care. The interventions lasted for 3 months, and the follow-up was continued for 15 months. Intention-to-treat analysis and generalized estimation equations were then used to determine the short- and long-term effects of the interventions on glycated hemoglobin (HbA1c), diabetes self-management, and medication adherence.

RESULTS

There were statistically significantly greater improvements in all aspects of the intervention group after 3 months of intervention. Compared with baseline, changes in the attitude (β = 0.384, 95% confidence interval [CI; 0.194, 0.574], P < 0.001), practice (β = 1.751, 95% CI [0.762, 2.739], P = 0.001), and knowledge, attitudes, practice total scores (β = 2.338, 95% CI [0.682, 3.995], P = 0.006) of patients in the intervention group were statistically significant after 15 months, and the HbA1c (8.19 ± 1.73%), knowledge (16.42 ± 3.21), and medication adherence (5.53 ± 1.76) scores were slightly better than those at baseline, although not statistically significant (P > 0.05).

CONCLUSIONS

T2DM self-management interventions based on community family doctors improved patients' HbA1c, diabetes self-management, and medication adherence, did not do so significantly in the long term.

Non-adherence to Anti-diabetic Prescriptions Among Type 2 Diabetes Mellitus Patients in the Kurdistan Region of Iraq

BACKGROUND

Treatment adherence is a primary key in controlling diabetes disease. The study aims to determine the prevalence of treatment adherence in type 2 diabetes mellitus (T2DM) patients, investigate the potential influence of adherence on elevated blood glucose levels, and identify the key factors which play a role in non-adherence to the prescribed drugs.

METHOD

A cross-sectional study method was utilized to collect data from all T2DM patients at the Diabetic and Endocrine Centre and Shar Hospital in Sulaymaniyah city in the Kurdistan region of Iraq from February 2022 to April 2022. The data collection was performed through a structured questionnaire. The prevalence of drug adherence was assessed using the Morisky Medication-Taking Adherence Scale (4-item), and the glycated hemoglobin test (A1C) was used to determine the blood glucose level.

RESULT

A total of 300 participants were studied, and more than half of them (192; 64%) revealed that they did not adhere to their anti-diabetic medications. Non-adherence was significantly associated with higher A1C. Several barriers to non-adherence were identified as multiple medications, feeling the dose given is high, lack of finance, and side effects by 209 (70%), 116 (39%), 113 (38%), and 103 (34%), respectively.

CONCLUSION

The current study's result revealed that most T2DM patients have no adherence to their medication. This non-adherence is significantly linked to higher A1C levels, emphasizing the critical role of medication compliance in managing diabetes effectively. The study also sheds light on the multiple barriers such as taking multiple prescriptions, the perception that the dose is excessive, lack of finances, and experiencing side effects, which contribute to non-adherence among diabetes patients. These findings underscore the need for healthcare providers to address these barriers and develop tailored strategies to enhance medication adherence among individuals with diabetes.

The effect of health quotient and time management skills on self-management behavior and glycemic control among individuals with type 2 diabetes mellitus

Objective

The aim of this study was to evaluate the present status of self-management behavior and glycemic control in individuals diagnosed with Type 2 Diabetes Mellitus (T2D), as well as to examine the impact of health quotient (HQ) and time management skills on both self-management behavior and glycemic control.

Methods

Between October 2022 and March 2023, a purposive sampling method had been utilized to select 215 participants with type T2D. The survey concluded a general information questionnaire, an HQ scale, a diabetes time management questionnaire and a self-management behavior questionnaire. The health quotient(HQ)encompasses the individuals' knowledge, attitude toward health, and the ability to maintain their own well-being. The diabetes time management questionnaire was reverse-scored, with higher scores indicating an enhanced competence in time management. The path among variables was analyzed using structural equation modeling(SEM).

Results

SEM showed that the direct effect of HQ on time management was -0.566 (p < 0.05), the direct effect of time management on the effect of self-management was -0.617 (p < 0.05), the direct effect of HQ on self-management was 0.156, and the indirect effect was 0.349 (p < 0.05); the relationship between health quotient and self-management was partially mediated by time management, with a mediating effect size of 68.8%. In addition, self-management had a direct effect on HbAlc, with a size of -0.394 (p < 0.05); The impacts of both HQ and time management on HbAlc were found to be mediated by self-management, with HQ demonstrating an indirect effect of -0.199 (p < 0.05) and time management showing an indirect effect of 0.244 (p < 0.05).

Conclusion

Health quotient and time management in patients with T2D serve as catalysts for self-management behavior. They affect HbAlc level indirectly through self-management practices. The suggestion is to prioritize the cultivation of rational time organization and management skills in T2D patients, as well as enhance their health quotient level. This can facilitate a more effective improvement in patients' self-management behaviors, ultimately achieving the objective of maintaining optimal glycemic control.

Low medication adherence and its associated factors among patients with type 2 diabetes mellitus attending Amana Hospital in Dar es Salaam, Tanzania: a cross-sectional study

BACKGROUND

Low medication adherence among patients with type 2 diabetes mellitus (T2DM) is associated with significant morbidity and mortality globally. We investigated the prevalence of low medication adherence and its associated factors among patients with T2DM.

METHODS

We used the Bengali version of the 8-item Morisky Medication Adherence Scale (MMAS-8) in measuring medication adherence among patients with T2DM who were attending the diabetes clinic at Amana Regional Referral Hospital in Dar es Salaam, Tanzania, from December 2021 to May 2022. Binary logistic regression analysis under multivariate analysis was used to determine the predictors of low medication adherence after controlling for confounders. A two-tailed p-value <0.05 was considered significant.

RESULTS

The prevalence of low medication adherence was 36.7% (91/248) of the subjects included in the study. Lack of formal education (adjusted odds ratio [AOR] 5.3 [95% confidence interval {CI} 1.717 to 16.312], p=0.004), having comorbidities (AOR 2.1 [95% CI 1.134 to 3.949], p=0.019) and drinking alcohol (AOR 3.5 [95% CI 1.603 to 7.650], p=0.031) were the independent predictors of low medication adherence.

CONCLUSION

More than one-third of the patients with T2DM in this study had low medication adherence. Our study also showed that a lack of formal education, having comorbidities and drinking alcohol were significantly associated with low medication adherence.

Factors influencing medication adherence in co-morbid hypertension and diabetes patients: A scoping review

Introduction

Interest in medication adherence has expanded significantly, especially in relation to the management of hypertension or diabetes in recent years. A scoping review that focuses on medication adherence in the co-morbidity of hypertension and diabetes provides crucial guidance for effective management of these interrelated diseases.

Aim

To conduct a scoping review of factors associated with medication adherence among individuals with co-morbid hypertension and diabetes.

Methods

The evaluation was conducted in accordance with the PRISMA-ScR guidelines to ensure the quality of the study. We searched three databases (Scopus, CINAHL, Medline) and one search engine (Google Scholar) from April 2023 to July 2023 on studies related to medication adherence in co-morbid hypertension and diabetes. Except for reviews there were no restrictions on design, location, and time of study.

Results

In total, 972 studies that were not duplicated were obtained. After eligibility and screening procedures were completed, 31 articles were ultimately included in the scoping review. Medication adherence was significantly affected by patient, condition, therapy, socio-economic and health related factors. Intervention trials revealed that education and counselling by pharmacists, nurses, physicians, diabetes educators, community health workers and the use of telephone to motivate patients significantly improved medication adherence.

Conclusion

This review shows the intricate factors influencing medication adherence in patients with co-morbid hypertension and diabetes, emphasizing the need for tailored interventions involving healthcare professionals, policymakers, and researchers.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

The Effectiveness of Telehealth Interventions on Medication Adherence Among Patients with Type 2 Diabetes: A Meta-Analysis

Objective: Diabetes mellitus (DM) is a global health issue with an increasing frequency across the world and is an important disease in which medication adherence is a priority component for disease management. Several interventions are implemented to increase medication adherence in patients with type 2 DM, and telehealth interventions have become widespread thanks to technological advancements. This meta-analysis aims at reviewing the telehealth interventions applied to patients with type 2 DM and examining their effects on medication adherence. Methods: Relevant studies published in ScienceDirect, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL) and PubMed from 2000 to December 2022 were searched in this meta-analysis. Their methodological quality was assessed using the Modified Jadad scale. Total score for each study ranged from 0 (low quality) to 8 (high quality). Studies with four or more were of good quality. Standardized mean difference (SMD) and 95% confidence intervals (CI) were used for statistical analysis. Publication bias was assessed using the funnel plot and Egger regression test. Both subgroup analysis and meta-regression analysis were performed in the study. Results: A total of 18 studies were analyzed in this meta-analysis. All studies scored 4 or above in their methodological quality assessment and were of good quality. The combined results have shown that telehealth interventions significantly increased medication adherence in the intervention group (SMD = 0.501; 95% CI 0.231-0.771; Z = 3.63, p < 0.001). Our subgroup analysis has revealed that HbA1c value, mean age, and duration of intervention significantly affected the study results. Conclusion: Telehealth interventions are an effective method to increase medication adherence in patients with type 2 DM. It is recommended that telehealth interventions be expanded in clinical practices and included in disease management.

Association between illness perception and medication adherence in patients with diabetes mellitus in North Shoa, Zone: cross-sectional study

Background

Although the impact of illness perception on medication adherence is well-established, its specific influence on medication adherence in Ethiopia remains unclear. Consequently, the objective of this study was to examine the association between illness perception and medication adherence among patients with diabetes mellitus in the North Shoa Zone.

Methods

An institution-based cross-sectional study was conducted from 24 May to 25 June 2022 in the North Shoa zone. The study included a random sample of 552 individuals with diabetes from four public hospitals. Data was collected and entered into Epi Data V.3.1, and analysis was performed using SPSS version 22. Descriptive statistics were used to summarize continuous variables as means with standard deviations, while categorical variables were presented as percentages. The study variables were analyzed using binary logistic regression models to assess the associations between illness perception and medication adherence. In the bivariable analysis, variables with p-values less than 0.20 were entered into a multivariable logistic regression model. Associations with a p-value ≤0.05 and an odds ratio with a 95% confidence interval were considered statistically significant.

Results

The study results revealed that medication adherence was 64.4% (95% CI: 60.1, 67.9), while illness perception was 54.7% (95% CI, 41.2, 49.4). There was a significant and strong association between illness perception and medication adherence (p < 0.0001). In the adjusted model, the illness perception components of consequence showed a significant association with medication adherence (AOR = 3.10, 95% CI: 2.11, 4.55). Similarly, personal control (AOR = 1.77, 95% CI: 1.20, 2.61) and emotional representation of diabetes (AOR = 2.26, 95% CI: 1.54, 3.32) were also significantly associated with medication adherence in patients with diabetes.

Conclusion

The findings of this study indicate a positive association between higher illness perception and increased medication adherence and practice. Therefore, when engaging in discussions about diabetic self-management, diabetes educators should employ psychoeducational approaches that take into account the illness perceptions of patients.

Prevalence and the association between clinical factors and Diabetes-Related Distress (DRD) with poor glycemic control in patients with type 2 diabetes: A Northern Thai cross-sectional study

BACKGROUND

Glycemic control is important to prevent diabetic complications. However, evidence linking factors such as diabetes-related distress (DRD) to poor glycemic outcomes is lacking in Thailand. Therefore, this study aimed to investigate the prevalence and associated factors of poor glycemic control type 2 diabetes.

METHODS

A cross-sectional study was conducted on 127 type 2 diabetic patients between December 2021 and March 2022 at Maharaj Nakorn Chiang Mai Hospital, Thailand. Data collection included demographic data, clinical data (duration of being type 2 diabetes, diabetic treatment modalities, weight, height, blood pressure, FBS, and HbA1c), behavioral data (self-care behavior, physical activity, dietary assessment, smoking, alcohol consumption, and sleep quality), and psycho-social data (depression and DRD). Poor glycemic control was defined as not achieving the target HbA1c based on the 2021 American Diabetes Association (ADA) Guideline. Multivariable logistic regression was used to explore the associations between potential factors including DRD, and poor glycemic control.

RESULTS

The prevalence of poor glycemic control in patients with type 2 diabetes was 29.1%. Our analysis revealed that age under 65 years old (OR 6.40, 95% CI 2.07-19.77, p = 0.001), obesity (BMI ≥ 25 kg/m2) (OR 2.96, 95% CI 1.05-8.39, p = 0.041), and DRD (OR 14.20, 95% CI 3.76-53.64, p<0.001) were significantly associated with poor glycemic control. Three dimensions of DRD were associated with poor glycemic control, including emotional distress (OR 4.23, 95% CI 1.51-11.85, p = 0.006), regimen-related distress (OR 6.00, 95% CI 1.88-19.18, p = 0.003), and interpersonal distress (OR 5.25, 95% CI 1.39-20.02, p = 0.015).

CONCLUSION AND RECOMMENDATION

Age, obesity, and DRD are associated with poor glycemic control. A holistic approach that includes addressing DRD is crucial for improving glycemic outcomes in patients with type 2 diabetes. Further studies in broader populations using a cohort design are recommended.

Cross-sectional analysis of factors associated with medication adherence in western Kenya

OBJECTIVES

Poor medication adherence in low-income and middle-income countries is a major cause of suboptimal hypertension and diabetes control. We aimed to identify key factors associated with medication adherence in western Kenya, with a focus on cost-related and economic wealth factors.

SETTING

We conducted a cross-sectional analysis of baseline data of participants enrolled in the Bridging Income Generation with Group Integrated Care study in western Kenya.

PARTICIPANTS

All participants were ≥35 years old with either diabetes or hypertension who had been prescribed medications in the past 3 months.

PRIMARY AND SECONDARY OUTCOME MEASURES

Baseline data included sociodemographic characteristics, wealth and economic status and medication adherence information. Predictors of medication adherence were separated into the five WHO dimensions of medication adherence: condition-related factors (comorbidities), patient-related factors (psychological factors, alcohol use), therapy-related factors (number of prescription medications), economic-related factors (monthly income, cost of transportation, monthly cost of medications) and health system-related factors (health insurance, time to travel to the health facility). A multivariable analysis, controlling for age and sex, was conducted to determine drivers of suboptimal medication adherence in each overarching category.

RESULTS

The analysis included 1496 participants (73.7% women) with a mean age of 60 years (range 35-97). The majority of participants had hypertension (69.2%), 8.8% had diabetes and 22.1% had both hypertension and diabetes. Suboptimal medication adherence was reported by 71.2% of participants. Economic factors were associated with medication adherence. In multivariable analysis that investigated specific subtypes of costs, transportation costs were found to be associated with worse medication adherence. In contrast, we found no evidence of association between monthly medication costs and medication adherence.

CONCLUSION

Suboptimal medication adherence is highly prevalent in Kenya, and primary-associated factors include costs, particularly indirect costs of transportation. Addressing all economic factors associated with medication adherence will be important to improve outcomes for non-communicable diseases.

TRIAL REGISTRATION NUMBER

NCT02501746.

Determinants of treatment satisfaction among patients with diabetes: multicentre cross-sectional study in Northwest Ethiopia

OBJECTIVE

Treatment satisfaction is a significant determinant of quality of care, especially for patients with chronic diseases such as diabetes. Identifying factors that contribute to treatment satisfaction may improve patient outcomes. This study examined treatment satisfaction and determinant factors in patients with diabetes.

DESIGN AND SETTING

A multicentre hospital-based cross-sectional study was conducted between April and July 2022 at selected hospitals in Northwest Ethiopia.

PARTICIPANTS

Eligible adult patients with diabetes were included in the study.

MAIN OUTCOME MEASURES

Treatment satisfaction was the main outcome and was measured using the Diabetes Treatment Satisfaction Questionnaire, which was valid and reliable in the current sample. A linear regression analysis was used to determine the association between treatment satisfaction scores and independent variables.

RESULTS

Out of the 422 patients approached, 402 (95.3%) participated in the study. Overall, the mean treatment satisfaction score was 17.13 (±3.3) out of 30. Most of the participants had a lower degree of satisfaction with the current treatment (>52%) and its convenience (>63%). More than half of the participants (51.2%) perceived hyperglycaemia most of the time and hypoglycaemia some of the time (64.9%). Treatment satisfaction was influenced by body mass index (BMI) (p<0.01), number of medical conditions and medications (p<0.001), hyperglycaemia perception (p<0.001), healthcare cost coverage (p<0.001), monthly salary (p<0.001), self-monitoring blood glucose (SMBG) (p=0.017), lifestyle modification status (p<0.01), and comorbidity and/or complications (p<0.001).

CONCLUSION

Treatment satisfaction was low among patients with a higher BMI, a higher number of medical conditions and medications, comorbidities and/or complications, a frequent perception of hyperglycaemia and a lower monthly salary. Interventions addressing specific independent variables might enhance treatment satisfaction.

A hospital-based assessment of glycemic control and medication adherence in type 2 diabetes mellitus in Eastern Nepal

Background

Poor glycemic control in type 2 diabetes mellitus (T2DM) causes damage to various organs and leads to the development of disabling and life-threatening complications.

Objectives

To find out the prevalence of glycemic control and medication adherence (MA) and the factors affecting them.

Methods

A cross-sectional study was conducted among patients with T2DM. The patients were categorized as good glycemic control (HbA1c <7.0%) and poor glycemic control (HbA1c ≥7.0%). MA was categorized as low (score <6), medium (score 6 or 7), and high (score 8). The Statistical Package for Social Science (version 11.5) was used for statistical analysis at a P value less than 0.05.

Results

Of 129 patients, 65 (50.39%) were females. The mean age was 48.33 ± 12.86 years. The combination of metformin and glimepiride was prescribed to 37 (28.68%) patients. Diabetic knowledge was poor in 84 (65.12%) patients. Glycemic control was good in 108 (83.72%) patients. MA was medium in 72 (55.81%) patients. Patients taking regular fruit, having shorter duration of drug therapy, and having good diabetic knowledge had good glycemic control and were statistically significant (P value < 0.05). Patients having family support, nonalcoholic, taking regular fruit, being involved in daily jogging, having shorter duration of drug therapy, and having good diabetic knowledge had high MA and were statistically significant (P value < 0.05).

Conclusion

The majority of the diabetic patients had good glycemic control and medium MA. Patients taking regular fruit, being involved in daily jogging, having a shorter duration of drug therapy, and having good diabetic knowledge were identified as factors that affect both glycemic control and MA.

Determinants of poor glycemic control among type 2 diabetes mellitus patients at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia: Unmatched case-control study

BACKGROUND

Poor glycemic control is one of the most determinant factors for type 2 diabetes-related morbidity and mortality. The proportion of type 2 diabetes mellitus patients with poor glycemic control remains high. Yet evidence on factors contributing to poor glycemic control remains scarce. The aim of this study is to identify determinants of poor glycemic control among type 2 diabetes mellitus patients at a diabetes mellitus clinic in University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia Determinants of Poor Glycemic Control among Type 2 Diabetes mellitus Patients at University of Gondar Comprehensive Specialized Hospital, Northwest Ethiopia: Unmatched Case-Control Study.

METHODS

A hospital-based case-control study was conducted from June to September 2020. Using convenience sampling techniques, a total of 90 cases and 90 controls with type 2 diabetes were recruited. The data were entered into Epidata version 4.6.0.2 and analyzed by Stata version 14. A multivariable logistic regression analysis was performed to assess the association between independent variables and glycemic control. Both 95% CI and p-value<0.05 were used to determine the level and significance, respectively.

RESULTS

The mean age ( ± standard deviations) for the cases and controls were 57.55± 10.42 and 61.03± 8.93% respectively. The determinants of poor glycemic control were age (Adjusted odd ratio (AOR)= 0.08; 95% CI= 0.02-0.33), inadequate physical exercise (AOR = 5.05; 95% CI = 1.99-11.98), presence of comorbidities (AOR = 5.50; 95% CI = 2.06-14.66), non-adherence to anti-diabetes medications (AOR= 2.76; 95% CI= 1.19-6.40), persistent proteinuria (AOR=4.95; 95% CI=1.83-13.36) and high-density lipoprotein less than 40 mg/dl (AOR=3.08; 95% CI= 1.30-7.31).

CONCLUSIONS

Age less than 65 years, inadequate physical exercise, presence of comorbidities, non-adherence to anti-diabetes medications, persistent proteinuria, and high-density lipoprotein less than 40 mg/dl were the determinants of poor glycemic control. Therefore, targeted educational and behavioral modification programs on adequate exercise and medication adherence should be routinely practiced. Furthermore, early guideline-based screening and treatment of comorbidities and complications is required to effectively manage diabetes mellitus.

Misunderstanding of dosing regimen instructions among patients with chronic diseases receiving polypharmacy at the University of Gondar comprehensive specialized hospital

BACKGROUND

Misunderstanding dosage instructions in terms of dose, frequency, duration, or any other instruction with patients on polypharmacy is a common problem that leads to the irrational use of medications. This study aimed to assess the level of misunderstanding of dosing instructions among patients with chronic diseases receiving polypharmacy at the chronic outpatient pharmacy of the University of Gondar Compressive Specialized Hospital (UoGCSH).

METHODS

An institutional-based cross-sectional survey was conducted from September to November 2021 at the UoGCSH chronic outpatient pharmacy in Northwest Ethiopia. Study subjects were selected by a systematic random sampling method. Drug-drug and drug-food interactions were also checked by Medscape and drug.com to evaluate the significance of interactions. Frequency, percentage, and mean standard deviation (SD) were used to describe the distributions of variables. With a statistical significance level of p < 0.05, the Chi-square test was used to assess the association of variables with the primary outcome.

RESULTS

From a total of 400 participants, more than half (59%) were females, with a mean (SD) age of 57 (±16.3) years old. The study revealed that almost half (50.8%) of the participants misunderstood at least one dosage instruction, and around two-fifths (38.5%) misunderstood the frequency of drug administration. More than 90% of patients had no understanding of drug-drug interactions (DDIs). Sex (X2 = 16.837; P<0.0001), educational level (X2 = 50.251; P < 0.0001), residence (X2 = 5.164; P < 0.023) and duration of stay on medication (X2 = 13.806; P < 0.0003) were significantly associated with misunderstanding of dosage regimen instructions.

CONCLUSION

The study showed that a significant number of patients did not understand their medication dosage regimen instructions. To address these significant drug-related issues, healthcare providers could effectively engage in interventions such as written instructions accompanying patients and additional counseling.

Factors Associated With Achievement of Blood Pressure, Low-Density Lipoprotein Cholesterol (LDL-C), and Glycemic Targets for Primary Prevention of Cardiovascular Diseases Among High Cardiovascular Risk Malaysians in Primary Care

INTRODUCTION

Cardiovascular diseases (CVD) remain the world's leading cause of death. About half of Malaysian adults have at least 2 risk factors; thus, rigorous primary preventions are crucial to prevent the first cardiovascular (CV) event. This study aimed to determine the achievement of treatment targets and factors associated with it among high CV risk individuals.

METHODS

This cross-sectional study included 390 participants from a primary care clinic in Selangor, Malaysia, between February and June 2022. The inclusion criteria were high-CV risk individuals, that is, Framingham risk score >20%, diabetes without target organ damage, stage 3 kidney disease, and very high levels of low-density lipoprotein cholesterol (LDL-C) >4.9 mmol/L or blood pressure (BP) >180/110 mmHg. Individuals with existing CVD were excluded. The treatment targets were BP <140/90 mmHg (≤135/75 for diabetics), LDL-C <2.6 mmol/L, and HbA1c ≤6.5%. Multiple logistic regressions determined the association between sociodemographic, clinical characteristics, health literacy, and medication adherence with the achievements of each target.

RESULTS

About 7.2% achieved all treatment targets. Of these, 35.1% reached systolic and diastolic (46.7%) BP targets. About 60.2% and 28.2% achieved optimal LDL-C and HbA1c, respectively. Working participants had lower odds of having optimal systolic (aOR = 0.34, 95% CI: 0.13-0.90) and diastolic (aOR = 0.41, 95% CI: 0.17-0.96) BP. Those who adhered to treatments were more likely to achieve LDL-C and HbA1c targets; (aOR = 1.72, 95% CI: 1.10-2.69) and (aOR = 2.46, 95% CI: 1.25-4.83), respectively.

CONCLUSIONS

The control of risk factors among high CV risk patients in this study was suboptimal. Urgent measures such as improving medication adherence are warranted.