Health Literacy and Quality of Life in Patients With Type 1 Diabetes Mellitus

Relationship between diabetes health literacy, distress, burnout, social support, complications, self-care behaviors, and quality of life among patients with type 2 diabetes: a path analysis study

INTRODUCTION

Improving the quality of life (QOL) is the most important goal of early diagnosis and treatment in patients with type 2 diabetes (T2D). Numerous studies have indicated the positive effects of health literacy, social support and self-care behaviors and the negative effects of diabetes distress and burnout on the QOL of patients with T2D. Understanding these factors is crucial for people with diabetes. However, no study has investigated the simultaneous effects of these variables on QOL. In this study, our goals were to find out how these variables are related to each other, in addition, which variables play the role of mediating variables, and finally, what is the cumulative effect of these variables in predicting the QOL of patients with T2D. So, this study aimed to examine the relationship between diabetes health literacy (DHL), distress, burnout, social support, complications of diabetes, self-care behaviors, and QOL among patients with T2D by application Path analysis method.

METHODS

In this study 929 participants were entered to study by cluster sampling method and finally, data were analyzed among 820 participants. Data were gathered by self-report and with seven tools of Demographic section, DHL Scale, Diabetes distress scale, Diabetes Burnout scale, Diabetes Self-Management Questionnaire (DSMQ), Perceived social support, Diabetes Quality of Life (DQOL) Questionnaire. The software's of SPSS version 24 and AMOS version 24 were used for analysis.

RESULTS

The variables of DHL, social support, diabetes distress, and complications of diabetes predicted 38% variance in diabetes burnout (R2 = 0.38). Greatest impact on diabetes burnout was related to diabetes distress (estimate total effect = 0.539). The variables of DHL, social support, diabetes distress, complications of diabetes, and diabetes burnout predicted 24% variance in self- care behaviors (R2 = 0.24). Greatest impact on self- care behaviors was related to DHL (estimate total effect = 0.354). The variables of DHL, social support, diabetes distress, diabetes burnout, complications of diabetes, and self- care behaviors predicted 49% variance in DQOL (R2 = 0.49). Greatest impact on DQOL was related to variables of diabetes distress (estimate total effect = -0.613), DHL (estimate total effect = 0.225), diabetes burnout (estimate total effect = -0.202), complications of diabetes (estimate total effect = - 0.173), social support (estimate total effect = 0.149), and self -care (estimate total effect = 0.149), respectively.

CONCLUSION

To improve QOL in patients with T2D, health care providers must develop interventions that increase DHL of diabetic. Because DHL can decrease distress and burnout, enhance self -care skills, create supportive networks, and ultimately improve QOL in patients with type 2 diabetes.

The Relationship Between Health Literacy and Quality of Life, Attitudes and Perceptions of Covid-19 and Vaccination Among Patients with Systemic Autoimmune Diseases

We aimed to evaluate health literacy in a population of patients with systemic autoimmune diseases (SAD), and to analyze their potential relationships with health-related quality of life (HRQoL), attitudes and beliefs of Covid-19 and vaccination, and perceptions of changes in medical care during the pandemic. A cross-sectional study was conducted among 395 patients (81.1% were living in Spain). An anonymous online survey was distributed to an online SAD association. Health literacy was measured using the European Health Literacy Survey Questionnaire (HLS-EU-Q16) and the SF-36 tool was used to assess HRQoL. More than half of patients (57.7%) have inadequate health literacy and the mean health literacy level was 9.63(5.66). Patients with inadequate health literacy levels presented the lowest HRQoL scores in all SF-36 domains (p < .001). Health literacy scores were positively correlated with all SF-36 domains (p < .001). The reservations to get vaccinated against Covid-19 were linked to health literacy level (p = 0.024). There are high levels of inadequate health literacy among patients with SAD and it is associated with worse HRQoL and risk attitudes about Covid-19 vaccination and medical care during the pandemic.

Development and Psychometric Assessment of a Manufacturer Independent Knowledge Questionnaire on Real Time Continuous Glucose Monitoring for insulin-treated People with Diabetes

Background To benefit from real-time continuous glucose monitoring (rtCGM), users need practical skills and in-depth knowledge to analyze the glucose data appropriately and adapt insulin therapy accordingly. To assess the user’s knowledge about rtCGM, a psychometric knowledge test was developed and evaluated.

Method Experts on the use of rtCGM systems defined central knowledge contents in a Delphi process and developed a knowledge test comprising 40 multiple-choice items. For test-statistical review, people with insulin-treated diabetes and members of diabetes teams answered the knowledge test.

Results The 122 diabetes team members (age 46 (11) years; mean (SD)) and the 111 people with insulin-treated diabetes (age 42 (14) years, diabetes duration 20 (14) years, users of insulin pumps 64 %, previous usage of rtCGM 38 %, HbA1c 8.0 % [95 % CI 7.7–8.3] (64 mmol/mol [60–67]) had different levels of experiences using rtCGM systems. The internal consistency (Cronbach’s alpha) of the knowledge test was 0.92 for the whole sample, for people with diabetes 0.94, and for diabetes team members 0.84. Item difficulty ranged between 0.12 and 0.88 in people with diabetes and between 0.27 and 0.97 among diabetes team members. On average, people with diabetes answered 24.1 (9.9) items correctly, diabetes team members 29.2 (5.2) (p < 0.001); people with diabetes and previous rtCGM-experience had a higher knowledge compared to people without previous experience (29.2 (6.2) vs. 21.0 (10.4) (p = 0.001)). The quality of glucose control (measured by HbA1c) of the people with diabetes was significantly associated with the sum-score of the questionnaire (rho = –0.48, p < 0.001).

Conclusion The “rtCGM-Profi-Check” knowledge test provides high internal consistency, high selectivity, and content validity. It is suitable for objective, reliable, and valid assessment of the indispensable knowledge of people with diabetes to use different rtCGM systems successfully. The questionnaire is manufacturer-independent and is suitable to evaluate the needs and success of rtCGM education among persons with diabetes.