Adherence to self-monitoring of blood glucose in Chinese patients with type 2 diabetes: current status and influential factors based on electronic questionnaires

Impact of Self-Monitoring Blood Glucose on Glycaemic Control Among Insulin-Treated Patients With Diabetes Mellitus in Northeastern Tanzania: A Randomised Controlled Trial

Introduction: Tracking of blood glucose levels by patients and care providers remains an integral component in the management of diabetes mellitus (DM). Evidence, primarily from high-income countries, has illustrated the effectiveness of self-monitoring of blood glucose (SMBG) in controlling DM. However, there is limited data on the feasibility and impact of SMBG among patients in the rural regions of sub-Saharan Africa. This study is aimed at assessing SMBG, its adherence, and associated factors on the effect of glycaemic control among insulin-treated patients with DM in northeastern Tanzania. Materials and Methods: This was a single-blinded, randomised clinical trial conducted from December 2022 to May 2023. The study included patients with DM who had already been on insulin treatment for at least 3 months. A total of 85 participants were recruited into the study and categorised into the intervention and control groups by a simple randomization method using numbered envelopes. The intervention group received glucose metres, test strips, logbooks, and extensive SMBG training. The control group received the usual care at the outpatient clinic. Each participant was followed for a period of 12 weeks, with glycated haemoglobin (HbA1c) and fasting blood glucose (FBG) being checked both at the beginning and at the end of the study follow-up. The primary and secondary outcomes were adherence to the SMBG schedule, barriers associated with the use of SMBG, and the ability to self-manage DM, logbook data recording, and change in HbA1c. The analysis included descriptive statistics, paired t-tests, and logistic regression. Results: Eighty participants were analysed: 39 in the intervention group and 41 in the control group. In the intervention group, 24 (61.5%) of patients displayed favourable adherence to SMBG, as evidenced by tests documented in the logbooks and glucometer readings. Education on SMBG was significantly associated with adherence. Structured SMBG improved glycaemic control with a HbA1c reduction of -1.01 (95% confidence interval (CI) -1.39, -0.63) in the intervention group within 3 months from baseline compared to controls of 0.18 (95% CI -0.07, 0.44) (p < 0.001). Conclusion: Structured SMBG positively impacted glycaemic control among insulin-treated patients with DM in the outpatient clinic. The results suggest that implementing a structured testing programme can lead to significant reductions in HbA1c and FBG levels. Trial Registration: Pan African Clinical Trials Registry identifier: PACTR202402642155729.

Current status and influential factors associated with adherence to self-monitoring of blood glucose with type 2 diabetes mellitus patients in grassroots communities: a cross-sectional survey based on information-motivation-behavior skills model in China

Objective

Self-monitoring of blood glucose (SMBG) plays a vital role in the maintenance of blood glucose with type 2 diabetes mellitus(T2DM) and pre-diabetes patients. The study was intended to describe the current status of SMBG with T2DM and pre-diabetes patients in grassroots communities, explore the relationship between SMBG frequency and blood glucose level and apply information-motivation-behavior(IMB) model to analyze the potential influencing factors of SMBG compliance based on electronic questionnaires.

Methods

A cross-sectional study was conducted with 1388 T2DM and pre-diabetes patients who completed electronic questionnaires composed of demographics and IMB model content. Chi-square test, Mann-Whitney U test and multivariable logistic regression model analysis were utilized to explore deeply causes of SMBG compliance.

Results

The results of this study showed that among 1388 T2DM patients, only 26.2% (363/1388) patients reached SMBG standard, indicating low compliance with SMBG. Given that SMBG is one of the individual predictors of type 2 risk in prediabetes patients, this result suggests that the SMBG compliance rate needs to be improved. Patients with fixed occupation (OR=1.989, P=0.035), BMI in normal range (OR=1.336, P=0.049), smoking habit(OR=1.492, P=0.019), understanding SMBG frequency (OR=1.825, P<0.001), understanding control goal of blood glucose (OR=1.414, P<0.001), knowing all the functions of the blood glucose meter (OR=1.923, P<0.001), buying a blood glucose meter/test paper conveniently(OR=2.329, P=0.047), taking supplementary measurement when forgetting blood glucose test(OR=2.044, P=0.005), rotating all the fingers when measuring blood glucose (OR=1.616, P<0.001) and less pain at the needling site(OR=2.114, P<0.001)were independently promoting factors of adherence to SMBG. However, the lack of accessibility and convenience of blood glucose meter or heavy financial burden were blocking factors of adherence to SMBG. Moreover, there were still bottlenecks such as lack of health care knowledge and needle pricking pain.

Conclusion

This study verified the practicability of applying IMB model to SMBG with T2DM and pre-diabetes patients. Adherence to SMBG still remained to improved, and putting more emphasis in improvement of individual information, motivation and behavioral skills with patients might be beneficial to maintain better adherence to SMBG in long-term routine of diabetes self-management.

Predictive model for diabetic retinopathy under limited medical resources: A multicenter diagnostic study

Background

Comprehensive eye examinations for diabetic retinopathy is poorly implemented in medically underserved areas. There is a critical need for a widely available and economical tool to aid patient selection for priority retinal screening. We investigated the possibility of a predictive model for retinopathy identification using simple parameters.

Methods

Clinical data were retrospectively collected from 4, 159 patients with diabetes admitted to five tertiary hospitals. Independent predictors were identified by univariate analysis and least absolute shrinkage and selection operator (LASSO) regression, and a nomogram was developed based on a multivariate logistic regression model. The validity and clinical practicality of this nomogram were assessed using concordance index (C-index), area under the receiver operating characteristic curve (AUROC), calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC).

Results

The predictive factors in the multivariate model included the duration of diabetes, history of hypertension, and cardiovascular disease. The three-variable model displayed medium prediction ability with an AUROC of 0.722 (95%CI 0.696-0.748) in the training set, 0.715 (95%CI 0.670-0.754) in the internal set, and 0.703 (95%CI 0.552-0.853) in the external dataset. DCA showed that the threshold probability of DR in diabetic patients was 17-55% according to the nomogram, and CIC also showed that the nomogram could be applied clinically if the risk threshold exceeded 30%. An operation interface on a webpage (https://cqmuxss.shinyapps.io/dr_tjj/) was built to improve the clinical utility of the nomogram.

Conclusions

The predictive model developed based on a minimal amount of clinical data available to diabetic patients with restricted medical resources could help primary healthcare practitioners promptly identify potential retinopathy.

Use of the Self- and Family Management Framework in quantitative studies

BACKGROUND

The Self- and Family Management Framework (SFMF) identifies factors and outcomes of patient and family management of chronic illness. In a previous citation analysis, we reported the frequency and nature of use of the SFMF.

PURPOSE

We conducted a sub-analysis of quantitative articles in the citation analysis to examine testing of relationships depicted in the SFMF.

METHODS

We analyzed study purposes, independent and dependent variables, study implications, and text that referred to the SFMF in 40 articles.

FINDINGS

The SFMF has been used largely to explore factors affecting SFM behaviors, focusing on patient versus family self-management. Independent variables included all categories of facilitators/barriers specified in the SFMF. Dependent variables included all SFMF components (Facilitators/Barriers, Processes, Proximal and Distal Outcomes). Racial/ethnic diversity was limited among study participants. Study implications pertained mostly to psychosocial outcomes. Most studies referred to the SFMF generally.

DISCUSSION

Findings will contribute to revision of the SFMF.

Clinical application guidelines for blood glucose monitoring in China (2022 edition)

Glucose monitoring is an important component of diabetes management. The Chinese Diabetes Society (CDS) has been producing evidence-based guidelines on the optimal use of glucose monitoring since 2011. In recent years, new technologies in glucose monitoring and more clinical evidence, especially those derived from Chinese populations, have emerged. In this context, the CDS organised experts to revise the Clinical application guidelines for blood glucose monitoring in China in 2021. In this guideline, we focus on four methods of glucose monitoring that are commonly used in clinical practice, including capillary glucose monitoring, glycated haemoglobin A1c, glycated albumin, and continuous glucose monitoring. We describe the definitions and technical characteristics of these methods, the factor that may interfere with the measurement, the advantages and caveats in clinical practice, the interpretation of glucose metrics, and the relevant supporting evidence. The recommendations for the use of these methods are also provided. The various methods of glucose monitoring have their strengths and limitations and cannot be replaced by one another. We hope that these guidelines could aid in the optimal application of common methods of glucose monitoring in clinical practice for better diabetes care.

The Association Between General Self-Efficacy and Depressive Symptoms in People with Type 2 Diabetes Mellitus: The Mediating Role of Coping Styles Preference

Background

Depressive symptoms are prevalent in persons with type 2 diabetes mellitus and related with poor disease outcomes. Both general self-efficacy and coping style are associated with depressive symptoms. A model about proactive coping indicates that coping style plays a mediation role between general self-efficacy and depressive symptoms. But, empirical evidence is missing about this potential mediation relationship which may be a barrier of taking precise strategies for relieving depressive symptoms.

Objective

This study aims to investigate the prevalence of elevated depressive symptoms in persons with type 2 diabetes mellitus and explore whether coping style preference mediates the association between general self-efficacy and depressive symptoms.

Methods

This was a secondary data analysis of a cross-sectional survey (June-July 2017) among 721 persons with type 2 diabetes mellitus (45.4% male and 54.6% female) aged from 22 to 96 years old. Data on general self-efficacy, coping style preference and depressive symptoms were collected using validated questionnaires in hospital setting. The mediation model was tested using the bootstrapping (K=5000) in the MPlus program version 7.4. The results were reported following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

Results

The prevalence of elevated depressive symptoms was 58% (n = 418) among persons with type 2 diabetes mellitus at hospital setting. A higher level of general self-efficacy was related to less depressive symptoms via positive coping preference (p < 0.01).

Discussion

About two-thirds of persons with type 2 diabetes mellitus experienced elevated depressive symptoms during hospitalization. The intervention elements, including strengthening general self-efficacy and promoting positive coping, are promising to decrease their depressive symptoms.

Frailty in Community-Dwelling Adults Aged 40 Years and over with Type 2 Diabetes: Association with Self-Management Behaviors

Background: Evidence is lacking on risk factors for frailty and prefrailty and their relationship with self-management behaviors in patients ≥40 years of age with type 2 diabetes. Methods: Participants were selected as a cross-sectional cohort at five communities in Shanghai, China during January−March 2021. The modified FRAIL scale and the Summary of Diabetes Self-Care Activities (SDSCA) measure were used. Results: Of the 558 participants, 10.2% were classified as frailty and 34.1% as prefrailty. The prevalence of frailty was higher in males than in females (p = 0.009), whereas females were associated with higher odds of prefrailty (aOR 1.67, 95% CI [1.08−2.60]). Multimorbidity, ≥3 chronic diseases, and hospitalization in the past year were considered risk factors for both frailty and prefrailty. Each point earned on SDSCA and physical activity were associated with lower odds of frailty (aOR 0.95, 95% CI [0.92−0.98]) and prefrailty (aOR 0.52, 95% CI [0.31−0.85]), respectively. Frail participants performed significantly worse self-care practice than prefrail and non-frail ones, especially on diet, physical activity, and medication adherence (p < 0.001). Conclusions: Frail patients ≥40 years of age with type 2 diabetes reported poorer self-care performance. Further interventional studies are warranted to clarify their causal relationship.

Self-Monitoring of Blood Glucose as an Integral Part in the Management of People with Type 2 Diabetes Mellitus

For decades, self-monitoring of blood glucose (SMBG) has been considered a cornerstone of adequate diabetes management. Structured SMBG can follow different monitoring patterns, and it results in improved glycemic control, reduced hypoglycemia, and a better quality of life of people with diabetes. The technology, usability, and accuracy of SMBG systems have advanced markedly since their introduction a few decades ago. Current SMBG systems are small and easy to use, require small (capillary) blood sample volumes, and provide measurement results within seconds. In addition, devices are increasingly equipped with features such as connectivity to other devices and/or digital diaries and diabetes management tools. Although measurement quality can come close to or equal that of the glucose monitoring systems used by healthcare professionals, several available SMBG systems still do not meet internationally accepted accuracy standards, such as the International Organization for Standardization 15197 standard. Reports from China, India, and Brazil based on local experience suggest that in addition of the accuracy issues of SMBG systems, other obstacles also need to be overcome to optimize SMBG usage. Nonetheless, adequate usage of SMBG data is of high relevance for the management of people with type 2 diabetes mellitus.

Cost-Effectiveness of Flash Glucose Monitoring for the Management of Patients with Type 1 and Patients with Type 2 Diabetes in China

INTRODUCTION

To compare the cost-effectiveness of flash glucose monitoring versus self-monitoring of blood glucose/point of care testing (SMBG/POCT) in both patients with type 1 and patients with type 2 diabetes (T1D/T2D) receiving insulin therapy.

METHODS

The IQVIA CORE Diabetes Model (version 9.5) was used to project the lifetime costs and health outcomes of flash glucose monitoring and SMBG/POCT from a Chinese societal perspective. We considered both hospital and individual version flash glucose monitoring to reflect the clinical practice in China. The clinical inputs leveraged the outcomes from both clinical trials and real-world studies. Cohort characteristics, intervention costs, treatment-related disutility and mortality were extracted from the literature. We also conducted scenario analyses and probabilistic sensitivity analyses to test the robustness of results.

RESULTS

Compared with SMBG/POCT using efficacy results from clinical trial, flash glucose monitoring brought the incremental costs of Chinese yuan (CNY) 58,021 and CNY 90,997 and additional quality-adjusted life years (QALYs) of 1.22 and 0.65 for patients with T1D and patients with T2D, respectively. According to the "WHO-CHOICE threshold" of three times the gross domestic product per capita in China (CNY 217,341 in 2020) as cost-effectiveness threshold, flash glucose monitoring was cost-effective for both patients with T1D and patients with T2D with incremental cost-effectiveness ratios (ICER) of CNY 47,636 and CNY 140,297 per QALY gained, respectively. According to the real-world effectiveness data, flash glucose monitoring was dominant for patients with T1D (lower costs and better effectiveness) and cost-effective for patients with T2D with an ICER of CNY 124,169 per QALY gained compared with SMBG/POCT. Scenario analyses and probabilistic sensitivity analyses confirmed the robustness of the results.

CONCLUSION

Flash glucose monitoring is likely to be considered as a cost-effective strategy compared to SMBG/POCT for Chinese patients with T1D and patients with T2D receiving insulin therapy.

Self-management behavior and fasting plasma glucose control in patients with type 2 diabetes mellitus over 60 years old: multiple effects of social support on quality of life

OBJECTIVE

Elderly patients with type 2 diabetes mellitus are highly vulnerable due to severe complications. However, there is a contradiction in the relationship between social support and quality of life, which warrants further exploration of the internal mechanism. This study assessed the quality of life and its interfering factors in this patient population.

METHODS

In total, 571 patients with type 2 diabetes mellitus over 60 years old were recruited from two community clinics in Heilongjiang Province, China. We collected data on health status, quality of life, self-management behavior, fasting plasma glucose (FPG) level, and social support. Structural equation modeling and the bootstrap method were used to analyze the data.

RESULTS

The average quality of life score was - 29.25 ± 24.41. Poorly scored domains of quality of life were "Psychological feeling" (- 8.67), "Activity" (- 6.36), and "Emotion" (- 6.12). Of the 571 patients, 65.32% had normal FPG, 9.8% had high-risk FPG, 15.94% had good self-management behavior, and 22.07% had poor social support. Significant correlations among social support, self-management behavior, FPG level, and quality of life were noted. A multiple mediator model revealed that social support influenced quality of life in three ways: (1) directly (c' = 0.6831); (2) indirectly through self-management behavior (a1*b1 = 0.1773); and (3) indirectly through FPG control (a2*b2 = 0.1929). Self-management behavior influenced the quality of life directly and indirectly through FPG control.

CONCLUSION

Improving self-management behavior and monitoring hypoglycemia should become priority targets for future intervention. Scheduled social support to self-management projects should be put into the standardized management procedure. Physicians should provide substantial and individualized support to the elderly patients with type 2 diabetes mellitus regarding medication, blood glucose monitoring, and physical exercise.

Use of the self- and family management framework and implications for further development

BACKGROUND

The Self- and Family Management Framework (SFMF) was created in 2006 and revised in 2015 to guide research on self- and family management of chronic conditions. There has been no review of use of the SFMF.

PURPOSE

We reviewed articles citing the SFMF to identify the frequency and nature of use.

METHOD

We conducted a citation analysis, searching Web of Science, Scopus, and Google Scholar databases and extracted key data from identified articles.

FINDINGS

Of 126 articles, 84(66%) cited the 2006 SFMF, 37(29%) cited the 2015 SFMF, and 6(5%) cited both. The SFMF was used most to inform study design. Users noted strengths (e.g., considers family context) and limitations (e.g., non-specification of patient- family caregiver synergies) of the framework.

DISCUSSION

The SFMF has been used broadly to guide research on self- and family management of chronic conditions. Findings will inform development of a third version of the SFMF.

Factors related to hospital-to-home transitional self-monitoring blood glucose behaviour among patients with diabetes-related foot ulcer

AIMS

To explore the factors related to hospital-to-home transitional self-monitoring blood glucose behaviour among patients with diabetes-related foot ulcer.

BACKGROUND

The 30-day readmission rate of patients with diabetes-related foot ulcer can be reduced when good glycaemic control is achieved. The practice of self-monitoring blood glucose promotes optimal glycaemic control.

DESIGN

A comparative descriptive study.

METHODS

In this study, 200 participants, who had been hospitalized due to diabetes-related foot ulcer, were recruited from August 2017 to July 2018. Before participants were discharged from the hospital, psychosocial factors (family support, threat belief, self-efficacy and knowledge) and pre-hospitalization self-monitoring blood glucose behaviour were collected using a structured questionnaire. Then, after discharge, self-monitoring blood glucose behaviour delivery was collected again.

RESULTS

Five variables explained 47% of the variance in the delivery of self-monitoring of blood glucose at home. The delivery of hospital-to-home transitional self-monitoring blood glucose behaviour was more likely for individuals with higher pre-discharge self-efficacy, higher post-discharge self-efficacy, more attention to pre-hospitalization glycaemic status and post-discharge insulin usage and those without an insensitive foot.

CONCLUSION

Self-monitoring blood-glucose behaviour should be promoted among post-discharge patients with diabetes-related foot ulcer. The modifiable factors identified in this study can be integrated into the discharge plan.

Understanding the Profiles of Blood Glucose Monitoring Among Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study in Shandong, China

BACKGROUND

Blood glucose monitoring is essential in diabetic care and management. Monitoring using glucometers in home and in laboratories by professionals in certain health institutes were the common methods of blood glucose monitoring in clinical practice. This study aimed to characterize the profiles of blood glucose monitoring in the view of the discrepancy in methods and frequency conducted by the patients with type 2 diabetes mellitus (T2DM) in China, and to explore factors influencing the profiles.

METHODS

A cross-sectional, community-based study was conducted in Shandong province, China, with a multi-stage stratified sampling. A total of 2166 T2DM patients completed the structured questionnaires about the real-world status of blood glucose monitoring and other questions composed of demographic and clinical characteristic as well as the diabetes-related cognitive scales. Latent profile analysis (LPA) was used to identify the underlying profiles of blood glucose monitoring based on self-reported frequency of blood glucose monitoring through different methods. Univariate and multivariate logistic regression were used to analyze the characteristics of the profiles and to explore the factors associated with it.

RESULTS

Among the 2166 participants, the mean frequency of blood glucose monitoring was 2.77 times (standard deviation: 7.67) per month. LPA indicated that five-class model was the best solution for classifying the latent groups of blood glucose monitoring: Class 1 "Low frequency in all", Class 2 "High frequency in hospitals", Class 3 "High frequency in primary health institutes", Class 4 "High frequency in pharmacies", and Class 5 "High frequency in self-monitoring". The proportions of the patients in class 1, class 2, class 3, class 4, and class 5 were 88.1% (n=1909), 1.3% (n=28), 3.1% (n=67), 6.1% (n=133) and 1.3% (n=29), respectively. Multivariate logistic regression showed that participants who had higher income (OR: 1.58, 95% CI: 1.04~2.41, p<0.05), had diabetes complication(s) (OR=1.37, 95% CI: 1.03~1.02, p=0.03) and had a good knowledge of blood glucose control (OR=1.59, 95% CI: 1.17~2.16, p<0.01) were more likely to have high frequency of blood glucose monitoring (in class 2, 3, 4, 5), and the rural patients were less likely to had high frequency of blood glucose monitoring (OR=0.47, 95% CI: 0.35~0.63, p<0.01).

CONCLUSION

Low frequency dominates the characteristics of the profiles of blood glucose monitoring among T2DM patients in China, though distinct blood glucose monitoring groups can be identified by LPA. Educational and financial supports were recommended to increase the frequency of blood glucose monitoring in patients with T2DM, focusing on the patients with low socioeconomic status.