Contribution of Structured Self-Monitoring of Blood Glucose to the Glycemic Control and the Quality of Life in Both Insulin- and Noninsulin-Treated Patients with Poorly Controlled Diabetes

The Efficacy and Frequency of Self-monitoring of Blood Glucose in Non-insulin-Treated T2D Patients: a Systematic Review and Meta-analysis

BACKGROUND

Self-monitoring of blood glucose (SMBG) is a useful tool in diabetes management, but its efficacy and optimal application in type 2 diabetes (T2D) patients treated without insulin have been controversial. We aimed to evaluate the efficacy of SMBG in controlling blood glucose levels in non-insulin-treated T2D patients and to determine the optimal frequency and the most appropriate population to benefit from SMBG.

METHODS

Eligible publications from January 2000 to April 2022 were retrieved from PubMed, Embase, Cochrane Library, and ClinicalTrials.gov databases. Randomized controlled trials comparing SMBG with no SMBG or structured SMBG (S-SMBG, SMBG with defined timing and frequency of glucose measurements) were included. Meta-analyses and sub-analyses were performed to assess the efficacy, optimal frequency, and most appropriate population for SMBG. Risk of bias was assessed regarding randomization, allocation sequence concealment, blinding, incomplete outcome data, selective outcome reporting, and other biases.

RESULTS

Twenty-two studies involving 6204 participants were identified, including 17 comparing SMBG with no SMBG and 4 comparing SMBG with S-SMBG. SMBG reduced HbA1c (MD -0.30%, 95% CI -0.42 to -0.17) compared with no SMBG, and S-SMBG performed better than SMBG (MD -0.23%, 95% CI -0.38 to -0.07). Subgroup analyses showed that HbA1c control was better with SMBG at 8-11 times weekly (MD -0.35%, 95% CI -0.51 to -0.20) compared with other frequencies and with lifestyle adjustments (MD -0.37%, 95% CI -0.50 to -0.23) than with no adjustments. No significant differences in HbA1c were observed between baseline HbA1c subgroups (≤ 8% and > 8%, P = 0.63) and between diabetes duration subgroups (≤ 6 years and > 6 years, P = 0.72), respectively.

DISCUSSION

SMBG was effective for controlling HbA1c in non-insulin-treated T2D patients, although lacking detailed monitoring design. Better outcomes were seen with SMBG at 8-11 times weekly and lifestyle adjustment based on SMBG results.

TRIAL REGISTRATION

PROSPERO (CRD42021285604).

The impact of structured self-monitoring of blood glucose on clinical, behavioral, and psychosocial outcomes among adults with non-insulin-treated type 2 diabetes: a systematic review and meta-analysis

Background

Self-monitoring of blood glucose (SMBG) is considered of little clinical benefit for adults with non-insulin-treated type 2 diabetes, but no comprehensive review of a structured approach to SMBG has been published to date.

Purpose

To conduct a systematic review and meta-analysis of the impact of sSMBG on HbA1c, treatment modifications, behavioral and psychosocial outcomes, and; examine the moderating effects of sSMBG protocol characteristics on HbA1c.

Data sources

Four databases searched (November 2020; updated: February 2022).

Study selection

Inclusion criteria: non-randomized and randomized controlled trials (RCTs) and prospective observational studies; reporting effect of sSMBG on stated outcomes; among adults (≥18 years) with non-insulin-treated type 2 diabetes. Studies excluded if involving children or people with insulin-treated or other forms of diabetes.

Data extraction and analysis

Outcome data extracted, and risk of bias/quality assessed independently by two researchers. Meta-analysis was conducted for RCTs, and moderators explored (HbA1c only).

Data synthesis

From 2,078 abstracts, k=23 studies were included (N=5,372). Risk of bias was evident and study quality was low. Outcomes assessed included: HbA1c (k=23), treatment modification (k=16), psychosocial/behavioral outcomes (k=12). Meta-analysis revealed a significant mean difference favoring sSMBG in HbA1c (-0·29%, 95% CI: -0·46 to -0·11, k=13) and diabetes self-efficacy (0.17%, 95% CI: 0.01 to 0.33, k=2). Meta-analysis revealed no significant moderating effects by protocol characteristics.

Limitations

Findings limited by heterogeneity in study designs, intervention characteristics, and psychosocial assessments.

Conclusion

A small positive effect of sSMBG on HbA1c and diabetes self-efficacy was observed. Narrative synthesis of sSMBG intervention characteristics may guide future implementation.

PROSPERO registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020208857, identifier CRD42020208857.

Diabetes Complications and Related Comorbidities Impair the Accuracy of FreeStyle Libre, a Flash Continuous Glucose Monitoring System, in Patients with Type 2 Diabetes

BACKGROUND

Although flash continuous glucose monitoring systems (FCGM) accuracy has been extensively studied in diabetes, its accuracy is still not fully evaluated in type 2 diabetes (T2D) patients in real-world settings. In the present study, we aim to assess the effects of diabetes complications and related comorbidities on FCGM accuracy in T2D patients with diabetes complications and related comorbidities in the real world.

METHODS

FCGM data were collected at eight-time points daily (3 AM, 7 AM, 9 AM, 11 AM, 1 PM, 5 PM, 7 PM, and 9 PM) from 742 patients with T2D and compared with simultaneous fingertip capillary blood glucose (reference blood glucose, REF), and the difference was evaluated using Parkes error grid (PEG), surveillance error grid (SEG), and logistic regression analysis.

RESULTS

In total, 25,579 FCGM/REF data pairs were included in the study. The FCGM values were lower than the paired REF values in 75% of the pairs. The maximum bias (-23.0%) and maximum mean absolute relative difference (24.5%) were observed at 3 AM among eight-time points. SEG analysis also demonstrated the highest percentage of paired readings in moderate and great risk zone (C and D) at 3 AM than PEG analysis (7.33% vs 0.43%, P<0.001). According to the SEG classification, hypoglycemia, infection, diabetic foot, diabetic ketoacidosis, and hypertension were independent risk factors that impaired FCGM accuracy in patients.

CONCLUSION

FCGM commonly underestimates blood glucose levels. Compared with PEG, SEG analysis seems more conducive to the analysis of FCGM performance. The present data highlights the impairment of diabetes complications and related comorbidities on the FCGM accuracy in T2D patients.

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.

Systematic Review of Self-Monitoring of Blood Glucose in Patients with Type 2 Diabetes

BACKGROUND

The benefit of self-monitoring of blood glucose in reducing HbA1c in non-insulin-treated participants remains unclear. HbA1c may be improved in this population with self-monitoring.

OBJECTIVE

To conduct a meta-analysis of the effect in non-insulin-treated participants with type 2 diabetes of self-monitoring of blood glucose versus usual care, structured versus unstructured self-monitoring of blood glucose on glycemic control, and use of self-monitoring of blood glucose readings used to adjust therapy versus usual care.

METHODS

Medline, Embase, and Cochrane Central were electronically searched to identify articles published from January 1, 2000, to June 3, 2020. Trials investigating changes in HbA1c were selected. Screening was performed independently by two investigators. Two investigators extracted HbA1c at baseline and follow-up for each trial.

RESULTS

Nineteen trials involving 4,965 participants were included. Overall, self-monitoring of blood glucose reduced HbA1c. Preplanned subgroup analysis showed that using self-monitoring of blood glucose readings to adjust therapy contributed significantly to the reduction. No significant improvement in HbA1c was shown in self-monitoring of blood glucose without therapy adjustment. The same difference was observed in structured versus unstructured self-monitoring of blood glucose.

DISCUSSION

HbA1c is improved with therapy adjustment based on structured self-monitoring of blood glucose readings. Implications are for clinicians to prescribe structured self-monitoring of blood glucose to modify therapy adjustment based on the readings and not prescribe unstructured self-monitoring of blood glucose. Participants with suboptimal glycemic control may benefit most. A self-monitoring of blood glucose regimen that improves clinical- and cost-effectiveness is presented. Future studies can investigate this regimen specifically.

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.

Self-Monitoring of Blood Glucose in Youth-Onset Type 2 Diabetes: Results From the TODAY Study

OBJECTIVE

To determine whether self-monitoring of blood glucose (SMBG) is associated with lower HbA_1c in youth with type 2 diabetes taking oral medications only or after starting insulin for persistently elevated HbA_1c.

RESEARCH DESIGN AND METHODS

Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study participants (n = 699) taking oral medications were asked to perform SMBG twice daily. After reaching primary outcome (PO) (HbA_1c ≥8% [64 mmol/mol]) over 6 months or an inability to wean from temporary insulin because of metabolic decompensation), insulin glargine was started. HbA_1c and percent of SMBG (SMBG%) (percent days when the meter was used one or more times) before and after PO were analyzed.

RESULTS

SMBG declined over time and was inversely related to HbA_1c (P < 0.0001). Of 298 youth who reached PO and started insulin, 282 had SMBG data. At PO, mean ± SD age was 15.8 ± 2.3 years, BMI 35.5 ± 7.9 kg/m², and HbA_1c 9.6 ± 2.0% (81 ± 21.9 mmol/mol); 65.3% were female. Median SMBG% was 40% at PO, which increased to 49% after 6 months and fell to 41% after 1 year on insulin. At PO, 22% of youth checked ≥80% of days, which increased to 25% and fell to 19% after 6 and 12 months using insulin, respectively. At PO, compared with those who checked <80%, youth who checked ≥80% were younger and with a lower BMI, HbA_1c, and blood pressure. SMBG ≥80% was associated with ≥1% reduction in HbA_1c at 6 and 12 months after insulin initiation.

CONCLUSIONS

Low SMBG adherence was common and associated with higher HbA_1c. Optimal SMBG frequency in youth using or not using insulin, and whether less frequent SMBG is a marker for overall worse self-care, require further study.

Contribution of structured self-monitoring of blood glucose to self-efficacy in poorly controlled diabetes patients in China

AIM

To investigate the association between structured self-monitoring of blood glucose (SMBG) and diabetes self-efficacy in Chinese patients.

METHODS

This study was a single-centre, open-label, prospective, randomized controlled trial. A total of 250 type 1 and type 2 diabetes patients were recruited and randomly assigned to the structured SMBG group and the control group in a 1:1 ratio. The main outcome observed in this subgroup analysis was a change in the diabetes self-efficacy scale (DSES) scores. A multivariate generalized estimating equation was used to evaluate factors affecting the DSES scores.

RESULTS

We found that the DSES scores tended to decrease significantly with the follow-up time in the intervention group (Wald β = 7.882, P < .001; Wald β = 3.130, P = .003; Wald β = 7.879, P < .001). However, no significant differences in the DSES scores were detected in the control group. Glycaemic control improved in both the intervention and control groups at the third month (P < .05). In the intervention group, sustained improvement of the DSES scores maintained the improvement in glycaemic control through the sixth month. In the control group, glycaemic control tended to deteriorate in the sixth month without the support of an improved DSES scores (P = .056).

CONCLUSION

Structured SMBG could contribute to the effective and persistent improvement of diabetes self-efficacy. (ClinicalTrials.gov, NCT02225691).

Prices, availability and affordability of insulin products: a cross-sectional survey in Shaanxi Province, western China

OBJECTIVE

To evaluate price, availability and affordability of insulin products in Shaanxi Province, western China.

METHODS

We used a simplified and adapted WHO/Health Action International method to obtain the availability and prices of insulin products and five oral anti-diabetic medicines as comparators in public general hospitals and private retail outlets. In addition, we investigated the price components of eight selected insulin products by tracing the supply chain.

RESULTS

All three kinds of insulin products, prandial, basal and premixed insulin, are 100% available in public hospitals, and have fairly high availability in the private sector (62.5-68.8%). The prices of most insulin products were higher than international reference prices in both sectors (ranging from 0.95 times to 2.33 times). All insulin products were unaffordable as they would cost 3.5-17.1 days' wage of the lowest-paid government workers in Shaanxi. The manufacturer's markup (selling price), which comprised more than 60% of the final price of all insulin products surveyed, was the largest price component.

CONCLUSIONS

Although availability of insulin products was high in public general hospitals and private retail pharmacies, their high price made them unaffordable to diabetes patients, especially low-income patients. The government should increase insurance compensation for those who need these life-saving medicines or decrease the cost of insulin products through negotiation with suppliers.