Perspectives of patients with non-insulin-treated type 2 diabetes on self-monitoring of blood glucose: A qualitative study

Delineating and clarifying the concept of self-care monitoring: a concept analysis

AIM

To delineate and clarify the meaning of the concept of self-care monitoring from a patient perspective.

METHODS

A systematic search was performed in the databases ASSIA, CINAHL, PsycInfo, and PubMed (January 2016-September 2021). A selection of 46 peer-reviewed articles was included in the study and analysed using Rodgers' Evolutionary Method for Concept Analysis.

RESULTS

The following four attributes were identified: Tracking symptoms, signs, and actions, Paying attention, Being confident, and Needing routines, creating a descriptive definition: "Self-care monitoring is an activity that means a person has to pay attention and be confident and needs routines for tracking symptoms, signs, and action." The antecedents of the concept were shown to be Increased knowledge, Wish for independence, and Commitment. The concepts' consequences were identified as Increased interaction, Perceived burden, and Enhanced well-being.

CONCLUSIONS

This concept analysis provides extensive understanding of self-care monitoring from a patient perspective. It was shown that the concept occurs when a person practices self-care monitoring at home either with or without devices. A descriptive definition was constructed and presented with exemplars to encourage practice of the concept in various healthcare settings and could be of relevance to people with chronic illnesses or other long-term conditions.

Real-world Benefits of Diabetes Management App Use and Self-monitoring of Blood Glucose on Glycemic Control: Retrospective Analyses

Background

Among self-care measures, the self-monitoring of blood glucose (SMBG) is a critical component for checking blood glucose levels. In addition, there is growing evidence suggesting that digital technologies are being adopted as an additional method for health care systems to increase patient contact. However, for patients with non–insulin-treated diabetes mellitus type 2 (DMT2), the value of SMBG was inconsistent among studies, and the evidence for digital technologies from real-world clinical practice is still limited.

Objective

Our study aimed to assess patients with non–insulin-treated DMT2 who were receiving care from a single clinic and analyze whether the use of a diabetes management app and SMBG behavior would affect glycemic control in a real-world clinical setting.

Methods

We collaborated with a large clinic focused on diabetes care in Taiwan that had been using the Health2Sync mobile app and web-based Patient Management Platform to collect the data. The patients were divided into 2 groups (app-engaged-user group and only-data-uploader group) according to different activities in the app, and blood glucose was recorded every month from 1 to 6 months after registration in the app. A sample of 420 patients was included in the analysis, and a linear mixed model was built to investigate which factors affected the patients’ blood glucose percentage change.

Results

Using the mixed model coefficient estimates, we found that the percentage change was significantly negative when the only-data-uploader group was set as the baseline (t=–3.873, df=1.81 × 10⁴; P<.001 for the patients of the app-engaged-user group). We found that for patients with shorter diabetes duration, their blood glucose decreased more than patients with longer diabetes duration (t=2.823, df=1.71 × 10⁴; P=.005 for the number of years of diabetes duration). In addition, we found that for younger patients, their blood glucose decreased more than older patients (t=2.652, df=1.71 × 10⁴; P=.008 for the age of the patients). Furthermore, the patients with an education level of junior high school or lower saw a significantly greater decrease in blood glucose percentage change than the patients with an education level of senior high school or higher (t=4.996, df=1.72 × 10⁴; P<.001 for the patients with an education level of senior high school or higher). We also found that the count of blood glucose measured enlarged the decrease along the interaction months (t=–8.266, df=1.97 × 10⁴; P<.001 for the nth month × the count of blood glucose in the nth month). Lastly, the gender of the patients did not significantly affect the percentage change (t=0.534, df=1.74 × 10⁴; P=.59 for female patients).

Conclusions

Our analysis showed the following: the blood glucose percentage change of the patients in the app-engaged-user group dropped more than that in the only-data-uploader group; shorter diabetes duration is associated with a steeper decrease in the patients’ blood glucose percentage change; the percentage decrease in blood glucose change in younger patients is greater than older patients; the blood glucose percentage change of the patients with an education level of junior high school or lower dropped more than those with an education level of senior high school or higher; and the more frequently the patients test SMBG each month, the greater the decrease in the patients’ blood glucose percentage. Further studies can be performed to consider the differences in daily behaviors such as exercise and diet across the patients and whether these factors could have vital effects on glycemic control.

Factors Related to Diabetes Self-Management Among Patients with Type 2 Diabetes: A Chinese Cross-Sectional Survey Based on Self-Determination Theory and Social Support Theory

PURPOSE

Self-management behavior (SMB) plays a significant role in glycemic control. This study aimed to explore the factors related to SMB among patients with type 2 diabetes and how these factors interacted with each other.

PATIENTS AND METHODS

Patients diagnosed with type 2 diabetes were recruited from 18 community healthcare stations (CHSs) from six community healthcare centers (CHCs) in Beijing, China from April to May in 2017. Motivation, competence, autonomy support, social support, self-management skills, adherence to self-monitoring of blood glucose (SMBG) and haemoglobin A1c (HbA1c) measurement were tested by questionnaire. Correlation analysis and path analysis were performed so as to identify the factors associated with patients' SMB.

RESULTS

A total of 532 participants completed this study. Participants who have good compliance to SMBG got higher scores in social support (F = 7.68, p = 0.01), competence (F = 10.47, p = 0.01), and skills (F = 12.34, p < 0.01). Higher competence (β = 0.03, P < 0.001), higher social support (β = 0.01, P < 0.001), better skills(β = 0.01, P < 0.001) directly led to better adherence to SMBG. Social support had a positive effect on autonomy support (β = 0.69, P < 0.001), motivation (β = 0.45, P < 0.001), competence (β = 0.28, P < 0.001), skills (β = 0.14, P < 0.001), which was also indirectly linked to better adherence to SMBG. Better self-management skills directly led to better adherence to HbA1c measurement (β = 0.03, P < 0.001). Social support had a positive effect on autonomy support (β = 0.69, P < 0.001), motivation (β = 0.45, P < 0.001), competence (β = 0.28, P < 0.001), skills (β = 0.14, P < 0.001), which was also indirectly linked to better adherence to HbA1c measurement.

CONCLUSION

Self-determination theory and social support theory were practical in explaining SMB in Chinese population. Competence, motivation and social support played an important role in diabetic self-management. Paying attention to the promotion of individual's intrinsic motivation and self-efficacy may be able to help patients maintain self-management behavior in the long-term routine.

Glucose oxidase@zinc-doped zeolitic imidazolate framework-67 as an effective cascade catalyst for one-step chemiluminescence sensing of glucose

A chemiluminescence (CL) sensor was constructed for the one-step determination of glucose. Glucose oxidase (GOx) was successfully encapsulated into Zn-doped zeolitic imidazolate framework-67 (Zn-ZIF-67) via a simple one-pot strategy. The as-prepared GOx@Zn-ZIF-67 nanocomposite can trigger cascade reactions of glucose oxidation to generate H₂O₂ and H₂O₂-mediated luminol reaction to give an intense CL emission. The sensor responds linearly to glucose in the 20.0-400.0 μmol·L^-1 range with a limit of detection (LOD) of 4.7 μmol·L^-1. Eleven replicated measurements of 200.0 μmol·L^-1 glucose solution gives a relative standard deviation (RSD) of 1.7%. The sensor exhibits good selectivity and stability and was successfully applied to the determination of glucose in real human serum samples. Schematic representation of one-step determination of serum glucose with GOx@Zn-ZIF-67 nanocomposite triggering cascade reactions between luminol and glucose.

Process- and Outcome-Based Financial Incentives to Improve Self-Management and Glycemic Control in People with Type 2 Diabetes in Singapore: A Randomized Controlled Trial

BACKGROUND

Sub-optimally controlled diabetes increases risks for adverse and costly complications. Self-management including glucose monitoring, medication adherence, and exercise are key for optimal glycemic control, yet, poor self-management remains common.

OBJECTIVE

The main objective of the Trial to Incentivize Adherence for Diabetes (TRIAD) study was to determine the effectiveness of financial incentives in improving glycemic control among type 2 diabetes patients in Singapore, and to test whether process-based incentives tied to glucose monitoring, medication adherence, and physical activity are more effective than outcome-based incentives tied to achieving normal glucose readings.

METHODS

TRIAD is a randomized, controlled, multi-center superiority trial. A total of 240 participants who had at least one recent glycated hemoglobin (HbA1c) being 8.0% or more and on oral diabetes medication were recruited from two polyclinics. They were block-randomized (blocking factor: current vs. new glucometer users) into the usual care plus (UC +) arm, process-based incentive arm, and outcome-based incentive arm in a 2:3:3 ratio. The primary outcome was the mean change in HbA1c at month 6 and was linearly regressed on binary variables indicating the intervention arms, baseline HbA1c levels, a binary variable indicating titration change, and other baseline characteristics.

RESULTS

Our findings show that the combined incentive arms trended toward better HbA1c than UC + , but the difference is estimated with great uncertainty (difference - 0.31; 95% confidence interval [CI] - 0.67 to 0.06). Lending credibility to this result, the proportion of participants who reduced their HbA1c is higher in the combined incentive arms relative to UC + (0.18; 95% CI 0.04, 0.31). We found a small improvement in process- relative to outcome-based incentives, but this was again estimated with great uncertainty (difference - 0.05; 95% CI - 0.42 to 0.31). Consistent with this improvement, process-based incentives were more effective at improving weekly medication adherent days (0.64; 95% CI - 0.04 to 1.32), weekly physically active days (1.37; 95% CI 0.60-2.13), and quality of life (0.04; 95% CI 0.0-0.07) than outcome-based incentives.

CONCLUSION

This study suggests that both incentive types may be part of a successful self-management strategy. Process-based incentives can improve adherence to intermediary outcomes, while outcome-based incentives focus on glycemic control and are simpler to administer.

Making sense of blood glucose data and self-management in individuals with type 2 diabetes mellitus: A qualitative study

AIMS AND OBJECTIVES

To describe individuals' with type 2 diabetes mellitus sense-making of blood glucose data and other influences impacting self-management behaviour.

BACKGROUND

Type 2 diabetes mellitus prevalence is increasing globally. Adherence to effective diabetes self-management regimens is an ongoing healthcare challenge. Examining individuals' sense-making processes can advance staff knowledge of and improve diabetes self-management behaviour.

DESIGN

A qualitative exploratory design examining how individuals make sense of blood glucose data and symptoms, and the influence on self-management decisions.

METHODS

Sixteen one-on-one interviews with adults diagnosed with type 2 diabetes mellitus using a semi-structured interview guide were conducted from March-May 2018. An inductive-deductive thematic analysis of data using the Sensemaking Framework for Chronic Disease Self-Management was used. The consolidated criteria for reporting qualitative research (COREQ) checklist were used in completing this paper.

RESULTS

Three main themes described participants' type 2 diabetes mellitus sense-making and influences on self-management decisions: classifying blood glucose data, building mental models and making self-management decisions. Participants classified glucose levels based on prior personal experiences. Participants learned about diabetes from classes, personal experience, health information technology and their social network. Seven participants expressed a need for periodic refreshing of diabetes knowledge.

CONCLUSION

Individuals use self-monitored glucose values and/or HbA1C values to evaluate glucose control. When using glucose values, they analyse the context in which the value was obtained through the lens of personal parameters and expectations. Understanding how individuals make sense of glycaemic data and influences on diabetes self-management behaviour with periodic reassessment of this understanding can guide the healthcare team in optimising collaborative individualised care plans.

RELEVANCE TO CLINICAL PRACTICE

Nurses must assess sense-making processes in self-management decisions. Periodic "refresher" diabetes education may be needed for individuals with type 2 diabetes mellitus.

The impact of provision of self-monitoring of blood glucose supplies on self-care activities among patients with uncontrolled Type 2 diabetes mellitus: A prospective study

AIMS

Self-monitoring of blood glucose (SMBG) is an important self-care activity for patients with Type 2 diabetes mellitus (T2DM) to achieve glycaemic control. The aim of this study was to evaluate the impact of providing SMBG supplies on self-care among patients with uncontrolled T2DM.

METHODS

This was a six-month, prospective study conducted in two primary care institutions. Patients ≥21 years old with uncontrolled T2DM (HbA1c > 7.0%) and polypharmacy (≥5 chronic medications) were included. All participants were given a free blood glucometer, test strips, and lancets, and were invited to consult pharmacists to learn about SMBG. The Summary of Diabetes Self-Care Activities questionnaire was administered at baseline and at six months.

RESULTS

A total of 167 patients were recruited and 150 (89.8%) completed the study. At six months, significant improvements from baseline were observed for overall self-care (+0.58, p = 0.008), glycemic control (-0.41%, p < 0.001) and all specific self-care activities. The mean change in the SMBG score in all the participants was found to have a strong positive correlation with the mean change in the overall self-care score (r_s = 0.580, p = 0.01).

CONCLUSIONS

Provision of SMBG supplies was effective in improving self-care among patients with uncontrolled T2DM, including non-insulin-treated patients.

Evaluating the impact of self-monitoring of blood glucose frequencies on glucose control in patients with type 2 diabetes who do not use insulin: A systematic review and meta-analysis

AIMS

International diabetes guidelines have not established the frequencies of self-monitoring of blood glucose in patients with type 2 diabetes (T2D) who do not use insulin. The present study aimed to assess the impact of self-monitoring of blood glucose (SMBG) frequencies on the glucose control and other outcomes in non-insulin-treated patients with T2D.

METHODS

A literature search was performed in four databases. Randomised controlled trials with ≥6-month follow-up duration that compared the impact of different frequencies of SMBG on glycated haemoglobin A1c (HbA1c) were included. Studies with abstract only or reported effects of SMBG as a secondary outcome were excluded.

RESULTS

Of the 1557 studies identified, 12 RCTs with a total of 3350 patients were analysed. Overall, performing SMBG for 8 to 14 times per week was correlated with a better HbA1c control at 6 months (MD -0.46%, 95% CI -0.54 to -0.39) and 12 months (MD -0.20%, 95% CI -0.29 to -0.11). However, up to seven measurements of SMBG per week did not significantly affect glycaemic control. In addition, performing SMBG between 8 and 14 times per week was also associated with improved BMI (MD -0.46, 95% CI -0.84 to -0.08). When the results of SMBG were applied to adjust diabetes medication, a significant reduction in HbA1c levels was observed in the intervention arm compared to the control arm.

CONCLUSIONS

Eight to 14 measurements of SMBG per week were associated with an improved glycaemic control and a reduced BMI in patients with T2D not using insulin.