Medication adherence in type 2 diabetes mellitus patients during Covid-19 pandemic: a cross-sectional study from the United Arab Emirates

Patterns and determinants of healthcare utilization and medication use before and during the COVID-19 crisis in Afghanistan, Bangladesh, and India

BACKGROUND

COVID-19 rapidly spread through South Asian countries and overwhelmed the health systems that were unprepared for such an outbreak. Evidence from high-income countries showed that COVID-19 impacted healthcare utilization, including medication use, but empirical evidence is lacking in South Asia. This study aimed to investigate the effect of COVID-19 on healthcare utilization and medication use in South Asia.

METHOD

The current study used longitudinal data from the 'Premise Health Service Disruption Survey' 2020 and 2021. The countries of interest were limited to Afghanistan, Bangladesh, and India. In these surveys, data related to healthcare utilization and medication use were collected for three-time points; 'Pre-COVID phase', 'Initial phase of COVID-19 outbreak', and 'One year of COVID-19 outbreak'. Generalized estimating equation (GEE) along with McNemar's test, Kruskal-Wallis test and χ2 test were applied in this study following the conceptualization of Andersen's healthcare utilization model.

RESULT

The use of healthcare and medication was unevenly impacted by the COVID-19 epidemic in Afghanistan, Bangladesh, and India. Immediately after the COVID-19 outbreak, respondents in Bangladesh reported around four times higher incomplete healthcare utilization compared to pre-COVID phase. In contrast, respondents in Afghanistan reported lower incomplete utilization of healthcare in a similar context. In the post COVID-19 outbreak, non-adherence to medication use was significantly higher in Afghanistan (OR:1.7; 95%CI:1.6,1.9) and India (OR:1.3; 95%CI:1.1,1.7) compared to pre-COVID phase. Respondents of all three countries who sought assistance to manage non-communicable diseases (NCDs) had higher odds (Afghanistan: OR:1.5; 95%CI:1.3,1.8; Bangladesh: OR: 3.7; 95%CI:1.9,7.3; India: OR: 2.3; 95% CI: 1.4,3.6) of non-adherence to medication use after the COVID-19 outbreak compared to pre-COVID phase.

CONCLUSION

The present study documented important evidence of the influence of COVID-19 epidemic on healthcare utilization and medication use in three countries of South Asia. Lessons learned from this study can feed into policy responses to the crisis and preparedness for future pandemics.

Quantification of insulin adherence in adults with insulin-treated type 2 diabetes: A systematic review

AIMS

This systematic review aims to identify current methods used for the assessment of insulin adherence in adults with insulin-treated type 2 diabetes. The primary goal is to offer recommendations for clinical practice to improve quantification of adherence.

METHODS

The review was conducted in accordance with PRISMA 2020 and registered at PROSPERO (CRD42022334134). PubMed, Embase, CINAHL, and PsycINFO were searched on 15 November 2022 and included three blocks: Type 2 diabetes, insulin, and adherence. We considered primary full-text studies describing an assessment method and a threshold for assessment of insulin adherence in adults with insulin-treated type 2 diabetes.

RESULTS

A final sample of 50 studies were included. Identified methods fell into four categories: self-report, pharmacy claims, inulin count, and data from an insulin pen device. Commonly reported methods included: The Morisky Medication Adherence Scale, the (adjusted) Medication Possession Ratio, and the Proportions of Days Covered. A threshold of <80% was used to define non-adherence in nearly half of the studies. Yet, several thresholds were reported.

CONCLUSIONS

Most available methods for assessing insulin adherence in adults with insulin-treated type 2 diabetes are severely limited in providing in-depth insights into timing, dosing size, injection patterns, and adherence behavior. However, recognizing diverse types of non-adherence is crucial, as they denote unique behavioral entities requiring targeted intervention. Employing insulin injection data (e.g., from a smart insulin pen cap) to underlie an assessment method is a potential new approach to objectively assess insulin timing and dosing adherence in adults with insulin-treated type 2 diabetes.

Socio-personal factors affecting adherence to treatment in patients with type 2 diabetes: A systematic review and meta-analysis

PURPOSE

The purpose of study was to identify the socio-personal factors affecting adherence to the treatment of patients with type 2 diabetes.

METHODS

Cross-sectional articles were extracted from databases such as Web of Science, PubMed, Elsevier. A meta-analysis was performed using integrated odds ratios (OR) and 95% confidence interval (CIs) for age, BMI, depression, educational level, gender, employment status, marital status, smoking status. STATA 12.0 was used to estimate pooled RR in definite subgroups. The quality of the studies included was evaluated using the STROBE checklist.

RESULTS

Thirty-one studies out of 7407 extracted articles were finally selected for the meta-analysis. The results showed that younger people had a 17% higher risk than older people, smokers had a 22% higher risk than non-smokers, and the employed had a 15% higher risk of non-adherence to treatment.

CONCLUSION

In conclusion, older age, smoking and employment can lead to non-adherence to T2D treatment. Interventions are suggested to be made besides common health care considering the socio-personal features on type 2 diabetes patients' treatment adherence.

Impact of Lockdown Measures on Health Outcomes of Adults with Type 2 Diabetes Mellitus in Bangladesh

COVID-19 lockdown measures appreciably affected patients' lifestyles, negatively impacting on their health. This includes patients with Type 2 Diabetes Mellitus (T2DM). Care of these patients was also negatively impacted due to a priority to treat patients with COVID-19, certainly initially, within hospitals and clinics in Bangladesh, combined with a lack of access to clinics and physicians due to lockdown and other measures. This is a concern in Bangladesh with growing rates of T2DM and subsequent complications. Consequently, we sought to critically analyze the situation among patients with T2DM in Bangladesh during the initial stages of the pandemic to address this information gap and provide future direction. Overall, 731 patients were recruited by a simple random sampling method among patients attending hospitals in Bangladesh, with data collected over 3 timescales: before lockdown, during the pandemic, and after lockdown. Data extracted from patients' notes included current prescribed medicines and key parameters, including blood sugar levels, blood pressure, and comorbidities. In addition, the extent of record keeping. The glycemic status of patients deteriorated during lockdown, and comorbidities as well as complications related to T2DM increased during this period. Overall, a significant proportion of key datasets were not recorded in patients' notes by their physician before and during lockdown. This started to change after lockdown measures eased. In conclusion, lockdown measures critically affected the management of patients with T2DM in Bangladesh, building on previous concerns. Extending internet coverage for telemedicine, introduction of structured guidelines, and appreciably increasing data recording during consultations is of the utmost priority to improve the care of T2DM patients in Bangladesh.

Medication Adherence and Contributing Factors Among Type 2 Diabetes Patients at Adama Hospital Medical College in Eastern Ethiopia

Introduction

Good glycemic control and preventing early complications are the ultimate targets of diabetes management, which depends on patients' adherence to regimens. Even though highly potent and effective medications have been developed and manufactured with astonishing advancement over the past few decades, excellent glycemic control has remained elusive.

Objective

This study aimed to assess the magnitude and factors associated with medication adherence among type 2 diabetes (T2D) patients on follow-up at Adama Hospital Medical College (AHMC) in East Ethiopia.

Methods

A hospital-based cross-sectional study was conducted among 245 T2D patients on follow-up at AHMC from March 1 to March 30, 2020. Medication adherence reporting scale-5 (MARS-5) was utilized to collect information regarding patients' medication adherence. The data were entered and analyzed using SPSS (Statistical Package for Social Sciences) version 21. The level of significance was declared at a p-value of  < .05.

Results

Of the 245 respondents, the proportion of respondents who adhere to diabetes medication was 29.4%, 95% CI [confidence interval] (23.7%-35.1%). After adjusting for khat chewing and adherence to blood glucose testing as confounding factors, being married (AOR [adjusted odds ratio]  =  3.43, 95%CI [1.27-4.86]), government employee (AOR  =  3.75, 95%CI [2.12-7.37]), no alcohol drinking (AOR  =  2.25, 95%CI [1.32-3.45]), absence of comorbidity (AOR  =  1.49, 95%CI [1.16-4.32]), and having diabetes health education at health institution (AOR  =  3.43, 95%CI [1.27-4.86]) were the factors associated with good medication adherence.

Conclusion

The proportion of T2D patients who adhere to medication in the study area was remarkably low. The study also found that being married, government employee, no alcohol drinking, absence of comorbidity, and having diabetes health education at a health institution were the factors associated with good medication adherence. Therefore, imparting health education on the importance of diabetes medication adherence by health professionals at each follow-up visit should be considered. Besides, awareness creation programs regarding diabetes medication adherence should be considered using mass media (radio and television).

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.

Impact of the COVID-19 pandemic on the glycemic control, eating habits, and body compositions of people with diabetes mellitus: A retrospective longitudinal observational study

AIMS/INTRODUCTION

To evaluate the impact of the COVID-19 pandemic on the glycemic control, eating habits, and body composition of people with diabetes mellitus; to identify the determinants of worsening glycemic control in people with diabetes mellitus.

MATERIALS AND METHODS

This retrospective, longitudinal observational study was performed in outpatients with diabetes mellitus who visited our hospital between April 2019 and March 2020 (pre-COVID-19 period) and continued for follow up from April 2020 to March 2021 (COVID-19 period). We compared the glycemic control, nutritional intakes, and body composition of people with diabetes mellitus between the two periods. The changes in the HbA1c values (ΔHbA1c) and other study variables were compared between the two periods. Logistic regression analysis was performed to identify the factors associated with the increase of HbA1c levels.

RESULTS

A significant increase of HbA1c was observed during the COVID-19 period. The percent fat mass (FM) also increased, while the percent skeletal muscle mass (SMM) decreased during the COVID-19 period. After adjustments for age and sex, the ΔBMI (OR:2.33), ΔFM (OR:1.45), and ΔSMM (OR:0.51) were identified as being associated with elevated levels of HbA1c.

CONCLUSIONS

The COVID-19 pandemic had a negative impact on the glycemic control and body composition of people with diabetes mellitus. The increased body weight and FM and decreased SMM observed during the pandemic were associated with poor glycemic control in people with diabetes mellitus.