Reduced diabetes mellitus-related comorbidities by regular self-monitoring of blood glucose: Economic and quality of life implications

Mohan, Viswanathan; Mapari, J.; Karnad, Pratibha; Mann, Jasdeep; Maheshwari, Vikalp Kumar

doi:10.4103/ijem.ijem_216_17

Cited by 15 publications

(6 citation statements)

References 21 publications

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“…Negative experiences of depression and stigma may accompany the illness and further decrease long‐term motivation for commitment to glycaemic control (Saunders, 2014). Strong glycaemic control, therefore, is imperative to help maintain the individuals' work abilities, quality of life, spiritual well‐being (Mohan et al, 2018) and especially motivation to engage in long‐term diabetes self‐care (D'Souza et al, 2017). Young adults with type 2 diabetes, however, appear to engage in poor self‐care behaviours (Browne et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Glycaemic control mediates the relationships of employment status and self‐stigma with self‐care behaviours in young adults with type 2 diabetes

Lin¹,

Wang

et al. 2021

Journal of Clinical Nursing

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Aims and objectives:To investigate the relationships of sociodemographic factors, self-stigma, glycaemic control (measured by glycated haemoglobin (A1C)) and selfcare behaviours in young adults with type 2 diabetes.Background: Young adults aged 25-44 years are in their most productive period.Once diagnosed with diabetes, this population tends to experience poor glycaemic control and perform poorly in self-care activities. Such patterns may raise perceptions of self-stigma and further decrease motivations to engage in self-care behaviours in patients with diabetes.Design: A cross-sectional, correlational research design. Methods:The STROBE guidelines for cross-sectional studies were followed. A convenience sample of 115 participants was recruited from a medical centre in southern Taiwan. Instruments included the Self-Stigma Scale-Chinese version and the Diabetes Self-Care Behaviours Scale. Data were analysed using a three-step hierarchical regression analysis and the Sobel test. Results:The average age of the participants was 36.7 years. Marital status, employment status, self-stigma and A1C were significantly associated with self-care behaviours, and these four variables explained 43.6% of the variance in self-care behaviours.However, A1C (β = −.58, p < .001) was found to be the only determinant of self-care behaviours in the last regression model. The Sobel test showed that A1C had mediating effects on self-stigma and self-care behaviours as well as employment status and self-care behaviours. Conclusion:This study supports the interactive relationship among self-stigma, employment status, glycaemic control and self-care behaviours in young adults with type 2 diabetes. Strategies aimed at optimising glycaemic control can help reduce the effects of self-stigma perceptions and employment status on the self-care behaviours of such patients.Relevance to clinical practice: More effective educational programmes should be designed to improve glycaemic control, lower the effects of employment and decrease | 583 LIN et aL.

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Section: Introductionmentioning

confidence: 99%

Glycaemic control mediates the relationships of employment status and self‐stigma with self‐care behaviours in young adults with type 2 diabetes

Lin¹,

Wang

et al. 2021

Journal of Clinical Nursing

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“…The role of glycemic control in preventing the development and progression of complications has been proven in diabetes [35][36][37][38], with an especially strong relationship identified between intensive glycemic control and diabetic complications and mortality. In general, a target HbA 1c level of less than 7% is optimal, according to diabetes guidelines [14].…”

Section: Comparison With Prior Workmentioning

confidence: 99%

A Mobile-Based Intervention for Glycemic Control in Patients With Type 2 Diabetes: Retrospective, Propensity Score-Matched Cohort Study

Sun

Wang

et al. 2020

JMIR Mhealth Uhealth

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Background Mobile-based interventions appear to be promising in ameliorating huge burdens experienced by patients with type 2 diabetes. However, it is unclear how effective mobile-based interventions are in glycemic management of patients with type 2 diabetes based on real-world evidence. Objective This study aimed to evaluate the effectiveness of a mobile-based intervention on glycemic control in patients with type 2 diabetes based on real-world population data. Methods This retrospective, propensity score-matched cohort study analyzed longitudinal data from a clinical electronic health database. The study population included 37,913 patients with type 2 diabetes at cohort entry between October 1, 2016, and July 31, 2018. A total of 2400 patients were matched 1:1, using propensity score matching, into the usual care and mobile health (mHealth) groups. The primary outcomes of glycemic control included control rates of glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and postprandial 2-hour blood glucose (P2BG). Mean values and variation trends of difference with 95% CI were the secondary outcomes. The general linear model was used to calculate repeated-measures analyses of variance to examine the differences between the two groups. Subgroup and sensitivity analyses were performed. Results Of the 2400 patients included in the analysis, 1440 (60.00%) were male and the mean age was 52.24 years (SD 11.56). At baseline, the control rates of HbA1c, FBG, and P2BG in the mHealth and usual care groups were 45.75% versus 47.00% (P=.57), 38.03% versus 32.76% (P=.07), and 47.32% versus 47.89% (P=.83), respectively. At the 3-, 6-, 9-, and 12-month follow-ups, the mHealth group reported higher control rates of HbA1c than did the usual care group: 69.97% versus 46.06% (P<.001), 71.89% versus 61.24% (P=.004), 75.38% versus 53.44% (P<.001), and 72.31% versus 46.70% (P<.001), respectively. At the four follow-up sessions, the control rates of FBG in the mHealth and usual care groups were statistically different: 59.24% versus 34.21% (P<.001), 56.61% versus 35.14% (P<.001), 59.54% versus 34.99% (P<.001), and 59.77% versus 32.83% (P<.001), respectively. At the four follow-up sessions, the control rates of P2BG in the mHealth group were statistically higher than in the usual care group: 79.72% versus 48.75% (P<.001), 80.20% versus 57.45% (P<.001), 81.97% versus 54.07% (P<.001), and 76.19% versus 54.21% (P=.001), respectively. At the four follow-up sessions, the percentages of HbA1c reduction in the mHealth group were 8.66% (95% CI 6.69-10.63), 10.60% (95% CI 8.66-12.54), 10.64% (95% CI 8.70-12.58), and 8.11% (95% CI 6.08-10.14), respectively. At the four follow-up sessions, the percentages of P2BG reduction in the mHealth group were 8.44% (95% CI 7.41-10.73), 17.77% (95% CI 14.98-20.23), 16.23% (95% CI 13.05-19.35), and 16.91% (95% CI 13.17-19.84), respectively. Starting from the sixth month, the mean HbA1c and P2BG values in the two groups increased slightly. Conclusions This mobile-based intervention delivered by a multidisciplinary team can better improve glycemic control rates of patients with type 2 diabetes than usual care. These effects were best sustained within the first 6 months. Starting from the sixth month, intensive management needs to be conducted to maintain long-term effectiveness of the mobile-based intervention.

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“…Although the SMBG has not been adopted in developing countries, [ 5 ] it has the potential to reduce the comorbidities and reduce the cost of treatment in diabetes patients. [ 6 ]…”

Section: Introductionmentioning

confidence: 99%

Usefulness of YouTube™ videos in training patients for blood glucose self-monitoring in current coronavirus disease-19 pandemic

Mondal¹,

Mondal

2020

IJMS

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Objectives: During the coronavirus disease-19 pandemic, due to restricted health-care access, patients may not get hands-on training for self-monitoring of blood glucose (SMBG) from physicians. YouTube™ is a popular video-sharing web platform that can be used as a source of information for SMBG. This study aimed to assess the usefulness of YouTube™ videos on SMBG. Material and Methods: We searched the keywords “blood glucose self-monitoring,” “home blood glucose monitoring,” “blood glucose test,” and “blood sugar test” on YouTube™. The first 40 videos of each search were listed. After the two-stage screening, 49 videos were included for final data analysis. General characteristics and SMBG-specific characteristics (namely, strip handling, lancing device handling, measurement, and post- measurement action) were observed with pre-defined criteria having “yes” and “no” closed option. Data were tested statistically by the binomial test. Results: Average duration of 49 videos was 244.20 ± 72.61 s and those were online since 35.14 ± 20.52 months on YouTube™. Information about strip handling was mostly deficient, major being checking the expiry date (16.33% videos had the information). The handling of the lancing device was correct in the majority of the videos except for the disinfection of the tip of the lancing device (6.12% videos had the information). The measurement procedure was also correct in the majority of the videos except for the instruction to dry the hands (38.78% videos had the information) after washing. The post-measurement logbook entry was found in 48.98% videos. Conclusion: YouTube™ videos can be used as a potential source of information for patients’ education for SMBG. However, there are various levels of the incompleteness of the tutorials. Primary care physicians may suggest YouTube™ videos after exploring the videos and selecting the most appropriate one for their patients.

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Reduced diabetes mellitus-related comorbidities by regular self-monitoring of blood glucose: Economic and quality of life implications

Cited by 15 publications

References 21 publications

Glycaemic control mediates the relationships of employment status and self‐stigma with self‐care behaviours in young adults with type 2 diabetes

Glycaemic control mediates the relationships of employment status and self‐stigma with self‐care behaviours in young adults with type 2 diabetes

A Mobile-Based Intervention for Glycemic Control in Patients With Type 2 Diabetes: Retrospective, Propensity Score-Matched Cohort Study

Usefulness of YouTube™ videos in training patients for blood glucose self-monitoring in current coronavirus disease-19 pandemic

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