Relationship Between Diabetes Knowledge, Glycemic Control, and Associated Health Conditions

Phillips, Emily Wolfe; Rahman, Rabia; Mattfeldt-Beman, M.

doi:10.2337/ds17-0058

Cited by 20 publications

(20 citation statements)

References 11 publications

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“…Therefore, level of controlling for baseline HbA 1c and other measures of diabetes severity highly depends on physicians’ characteristics 31–33. As well, a patient who followed the advice of a physician regarding medication, meal plan and exercises had better control over diabetes in our population parallel with other studies 34,35. Regular monitoring of blood sugar may encourage the physician to manage and provide confidence to their patients for the better management of the glycaemic control.…”

Section: Discussionsupporting

confidence: 52%

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<p>Self-Care Adherence And Barriers To Good Glycaemic Control In Nepalese Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study</p>

Pokhrel

Shrestha

Timilsina

et al. 2019

JMDH

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PurposeThe patient believes in adherence to medication rather than to self-care adherence and lifestyle changes for the management of diabetes. This study was carried out to establish the association of self-care adherence and their barriers in poor glycemic control in our diabetic population.Patients and methodsThis cross-sectional study was conducted among 480 already diagnosed diabetes outpatients attended in our two hospitals. Glycaemic control was defined by levels of HbA1c. Socio-demographic data, lifestyle variables and anthropometric measurements were recorded using a standard questionnaire. Fasting blood glucose, HbA1c and lipid profiles were estimated using the manufacturer’s guideline. Student’s t-test and one-way ANOVA were used for comparison between different groups and the correlation was established by Spearman correlation. Risk factors associated with poor glycaemic control were verified by logistic regression analysis.ResultsThe mean HbA1c of the study population was 7.4±1.3% and 65.4% had poor glycaemic control with mean 8.0±1.1%. Higher HbA1c levels were significantly associated with duration of diabetes, a number of drugs used, patient–physician relationship and knowledge about diabetes. The poor glycaemic control was significantly associated with low adherence of following the meal plan, regular medication and regular exercising (p<0.001). Among all the barriers, a too busy schedule for following the meal plan, taking medications and exercising regularly was significantly correlated with HbA1c levels. Multivariable logistic regression analysis showed irregular meal plan (OR=5.27), irregular exercise (OR=2.25), number of medication used (OR= 0.19) and lesser extent patient–physician relationship (OR=2.68) were independent risk factors for poor glycaemic control.ConclusionThe poor glycaemic control was associated with poor adherence to self-care adherence and their barriers in our diabetic population. Integrated knowledge on diabetes management should be targeted to improve glycaemic control in our communities.

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Section: Discussionsupporting

confidence: 52%

“…The long duration of hyperglycemia and hyperinsulinemia impairs the sensitivity and secretion of insulin, and the body becomes more resistant to insulin. Thus, this decreases the GLUT4 transportation and utilization, which results in an increment of carbohydrate in circulation, leads to its attachment to HbA 1c 26–28…”

Section: Discussionmentioning

confidence: 99%

<p>Self-Care Adherence And Barriers To Good Glycaemic Control In Nepalese Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study</p>

Pokhrel

Shrestha

Timilsina

et al. 2019

JMDH

View full text Add to dashboard Cite

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“…[4][5][6][7][8] Studies have shown that diabetes knowledge correlates with glycemic control so the use of a knowledge assessment tool may be useful to educators when developing individualized education plans for patients. [9][10][11][12][13] Use of a psychometrically validated multiple-choice questionnaire to guide diabetes education sessions has resulted in improvements in clinical biomarkers, receiving preventative services related to diabetes, patient satisfaction, and healthcare costs, however, this tool is not available for use by providers. [15][16][17][18] The purpose of this study was to demonstrate that use of a curriculum-specific knowledge assessment may have clinical importance in this population.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have shown that an increase in diabetes knowledge correlates to a decrease in fasting glucose, cholesterol, and A1C, and has shown to improve selfcare behaviors. [9][10][11][12][13] Validated diabetes knowledge scales and assessments are available for educators to utilize but they tend to measure different aspects of self-care making it challenging to determine which is most appropriate to use. 14 Other pilot programs have used a psychometrically validated tool, not yet available nationally to providers, to assess a patient's knowledge of their diabetes, lifestyle requirements, and medication-taking strategies.…”

Section: Introductionmentioning

confidence: 99%

Impact of a Pilot Baseline Diabetes Knowledge Assessment on Clinical Biomarkers in a Diabetes Education Program

Schroeder¹,

Johnson²

2019

IJMP

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Background: Research has shown the benefits of Diabetes Self-Management Education and Support (DSMES) but there is little guidance given on how to best individualize an education plan. Diabetes knowledge tends to correlate to improvements in health outcomes. Incorporating a baseline knowledge assessment may be one approach. Objectives: Describe the impact of incorporating a baseline knowledge assessment in individual DSMES on health outcomes in persons with diabetes. Methods: This single-center, quality improvement study included adult participants enrolled in a DSMES program. Participants completed a knowledge assessment at their first individual education appointment. The score determined specific areas of focus for education. Hemoglobin A1C (A1C), lipid panel, and blood pressure (BP) were recorded at baseline and at least 3 months after study entry. Baseline and follow-up results for the intervention group were compared to a control group who received DSMES but did not take the knowledge assessment. The study was IRB approved. Results: There was a significant reduction in A1C and systolic BP from baseline in the intervention group. Conclusion: DSMES had an impact on lowering A1C from baseline, but the use of the knowledge assessment at baseline did not make a larger impact on clinical biomarkers than DSMES alone.

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“…Health literacy affects people's ability to navigate the healthcare system, engage in self-care and chronicdisease management, and may, in turn, also affect the way knowledge about diabetes is understood and remembered for application at a later time (Powell, Hill & Clancy, 2007;Bains & Egede, 2011). Patients with diabetes who lack adequate health literacy and knowledge have a higher risk of poor glycaemic control and microvascular complications (Phillips, Rahman & Mattfeldt-Beman, 2018;Saeed et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Diabetes literacy and knowledge among patients with type 2 diabetes mellitus attending a primary care clinic in Seremban, Malaysia

et al. 2020

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Introduction: Good health literacy and knowledge are associated with improved outcomes in diabetes. The purpose of this study was to determine diabetes-specific literacy and knowledge levels, and its associated socio-demographic factors, among adults with type 2 diabetes mellitus (T2DM). Methods: This cross-sectional study was conducted among 196 adults from the Indian, Chinese, and Malay ethnic groups with T2DM who attended a primary care clinic in Seremban, Malaysia. The Literacy Assessment for Diabetes and Diabetes Knowledge Test 2 were used to assess diabetes-specific literacy and knowledge, respectively. Results: The majority of participants (75.0%) had literacy scores that corresponded to Ninth Grade Level but only 3.6% of participants had a good knowledge of diabetes. Literacy scores explained up to 19.8% of the variance in knowledge scores (r=0.445, p<0.01). Indian participants had the lowest literacy and knowledge scores when compared to Chinese and Malays (p<0.05). Participants with higher education had better literacy and knowledge scores (p<0.05). Educational level was more likely than ethnicity to predict both literacy and knowledge scores (p<0.001), while gender and age did not significantly predict either score. The majority of participants could answer general questions about physical activity, diabetes-related complications and healthy eating. Knowledge of diabetes and its relation to specific foods and the effect of diet on glucose control were limited among the participants. Conclusion: Education and ethnicity were associated with literacy and knowledge on diabetes. There existed a deficit of diabetes-related nutrition knowledge among the participants. These findings may help healthcare providers tailor individualised patient educational interventions.

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Relationship Between Diabetes Knowledge, Glycemic Control, and Associated Health Conditions

Cited by 20 publications

References 11 publications

<p>Self-Care Adherence And Barriers To Good Glycaemic Control In Nepalese Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study</p>

<p>Self-Care Adherence And Barriers To Good Glycaemic Control In Nepalese Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study</p>

Impact of a Pilot Baseline Diabetes Knowledge Assessment on Clinical Biomarkers in a Diabetes Education Program

Diabetes literacy and knowledge among patients with type 2 diabetes mellitus attending a primary care clinic in Seremban, Malaysia

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