Frequency of blood glucose testing among insulin-treated diabetes mellitus patients in the United Kingdom

The efficacy of self-monitoring of blood glucose (SMBG) intervention package through a subscription model among type-2 diabetes mellitus in Malaysia: a preliminary trial

BACKGROUND

The aim of this study was to determine the effect of a Self-Monitoring Blood Glucose (SMBG) intervention package through a subscription model in improving HbA1c and health parameters among type-2 diabetes mellitus (T2DM) individuals in Malaysia.

METHODS

This is a quasi-experimental study involving a total number of 111 individuals with T2DM (mean age 57.0 ± 11.7 years, 61% men) who were assigned to intervention (n = 51) and control (n = 60) groups. The intervention group participants were the subscribers of SugO365 program which provided a personalized care service based on self-recorded blood glucose values. Subscribers received a Contour® Plus One glucometer which can connect to Health2Sync mobile app to capture all blood glucose readings as well as physical and virtual follow up with dietitians, nutritionists, and pharmacists for 6 months. Outcome measures were body weight, body mass index (BMI), random blood glucose (RBG), glycated haemoglobin (HbA1c) and health-related quality of life (HRQoL, assessed by SF-36 questionnaire). Data were measured at baseline, third and sixth months.

RESULTS

Repeated-measure analysis of covariance showed significant improvement in HbA1c level (ƞp2 = 0.045, p = 0.008) in the intervention (baseline mean 7.7% ± 1.1%; end mean 7.3% ± 1.3%) as compared to control (baseline mean 7.7% ± 0.9%; end mean 8.1% ± 1.6%) group. Similar trend was observed for Role Emotional domain of the quality of life (ƞp2 = 0.047, p = 0.023) in the intervention (baseline mean 62.8 ± 35.1, end mean 86.3 ± 21.3) compared to control (baseline mean group 70.5 ± 33.8; end mean 78.4 ± 27.3) group. Negative association was found in HbA1c changes using Z-score and Physical Function domain (r = - 0.217, p = 0.022).

CONCLUSION

A 6 months SMBG intervention package through a subscription model improved blood glucose control as measured by HbA1c and health-related quality of life, particularly the Role Emotional domain. Elevated HbA1c levels are correlated with decreased physical function.There is a need to further examine the efficacy of SMBG intervention package using a larger sample and a longer period of intervention and to determine its cost efficacy.

Budget impact analysis of continuous glucose monitoring in individuals with type 2 diabetes on insulin treatment in England

INTRODUCTION

In 2022, updated guidance from NICE expanded the options for self-monitoring of blood glucose for patients with type 2 diabetes (T2DM), to include continuous glucose monitoring (CGM). In this budget impact analysis, the cost impact of CGM was compared with traditional self-monitoring of blood glucose (SMBG) in adults with T2DM over 1 year from the commissioner perspective in England.

RESEARCH DESIGN AND METHODS

The NICE-eligible T2DM cohort was split into 4 subgroups to enable nuanced costing by insulin administration frequency: basal human insulin, premixed insulin, basal-bolus insulin and bolus insulin. The model's cost components comprised mild and severe hypoglycaemia (SH), diabetic ketoacidosis (DKA), consumables and healthcare resource utilisation in primary and secondary care.

RESULTS

The introduction of CGM is estimated to be cost additive by approximately £4.6 million in the basecase, driven by increased spending on the CGM device. Overall, healthcare activity was reduced by approximately 20,000 attendances, due to fewer SH and DKA episodes in the CGM arm. General Practitioner (GP) practice-based activity is expected to drop after the first year as patients requiring CGM training is reduced. The budget impact could be neutralised if the CGM sensor was discounted by 13.2% (£29.76 to £25.83).

CONCLUSIONS

CGM may result in increased spending in the NICE-eligible T2DM cohort but is expected to reduce demand on secondary care services and GP time. These findings may be of interest to local decision-makers who wish to resolve the COVID-19 backlog with transformational investment in primary care to reduce secondary care activity.

Performance of the Prototype NovioSense Noninvasive Biosensor for Tear Glucose in Type 1 Diabetes

INTRODUCTION

We recently published the results of a pilot study measuring glucose in tear fluid. We now show the results of an additional 24 patients.

METHODS

Twenty-four subjects were recruited from Haaglanden Diabetes Centre. The patients reported in a fasting state and were given a meal with half the usual dose of insulin during the test. The device was applied under the lower eyelid. Glucose levels from capillary blood and interstitial fluid with a flash glucose measurement device were recorded every 15 minutes; the current from the tear glucose sensor was recorded continuously. The eye surface and tolerability were regularly checked. A calibration algorithm to convert tear glucose to blood values was built using a neural network regression model and validated.

RESULTS

No adverse events were attributed to the sensor coil placed under the lower eyelid. The mean absolute relative difference for the 24-patient subset was 16.7 (after 6 hours total time in the eye). The median absolute relative difference was 13.3. Compared to published data from Abbott (15.7 on day 1), the present device is comparable to Libre, considering that the device was allowed only one hour of equilibration time before the measurements were made.

CONCLUSION

The NovioSense Tear glucose sensor measures blood glucose values with an acceptable accuracy and may become a good alternative to invasive devices.

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.

Flash glucose monitoring reduces glycemic variability and hypoglycemia: real-world data from Spain

OBJECTIVE

Observations in real-world settings support and extend findings demonstrated in randomized controlled trials that show flash glucose monitoring improves glycemic control. In this study, Spain-specific relationships between testing frequency and glycemic parameters were investigated under real-world settings.

RESEARCH DESIGN AND METHODS

Deidentified glucose and user scanning data were analyzed and readers were rank ordered into 20 equal sized groups by daily scan frequency. Glucose parameters were calculated for each group: estimated HbA1c, time below range (<70 and ≤54 mg/dL), within range (70-180 mg/dL), and above range (>180 mg/dL). Glycemic variability (GV) metrics were described and data obtained from sensors in Spain and worldwide were compared.

RESULTS

Spanish users (n=22 949) collected 37.1 million glucose scans, 250 million automatically recorded glucose readings, and checked glucose values via a mean of 13 scans/day. Estimated HbA1c, time below 70 mg/dL, at or below 54 mg/dL, above 180 mg/dL, and GV metrics were significantly lower in the highest compared with lowest scan rate group (39.6 to 3.9 scans/day). Time-in-range was higher for the highest versus lowest scan rate group at 15.6 vs 11.5 hours/day, respectively. GV metrics correlated positively with time below 70 mg/dL, at or below 54 mg/dL, above 180 mg/dL, and negatively with time-in-range. The relationship between glucose metrics and scan rate was similar in Spain and worldwide. However, time in hypoglycemia in Spain was higher in the groups with lower scan rates.

CONCLUSIONS

As seen in clinical trials, flash glucose monitoring in real-world settings allows frequent glucose checks. High scan rates are associated with the favorable glycemic markers of increased time-in-range and reduced time in hyperglycemia and hypoglycemia, and GV. The same trends, with unique nuances, are observed in both Spanish and global data.

Clinical Evidence for Use of a Noninvasive Biosensor for Tear Glucose as an Alternative to Painful Finger-Prick for Diabetes Management Utilizing a Biopolymer Coating

Diabetes is a metabolic condition that is exponentially increasing worldwide. Current monitoring methods for diabetes are invasive, painful, and expensive. Herein, we present the first multipatient clinical trial that demonstrates clearly that tear fluid may be a valuable marker for systemic glucose measurements. The NovioSense Glucose Sensor, worn under the lower eye lid (inferior conjunctival fornix), is reported to continuously measure glucose levels in the basal tear fluid with good correlation to blood glucose values, showing clear clinical feasibility in both animals and humans. Furthermore, the polysaccharide coated device previously reported by our laboratory when worn, does not induce pain or irritation. In a phase II clinical trial, six patients with type 1 Diabetes Mellitus were enrolled and the capability of the device to measure glucose in the tear fluid was evaluated. The NovioSense Glucose Sensor gives a stable signal and the results correlate well to blood glucose values obtained from finger-prick measurements determined by consensus error grid analysis.

Cost Calculation for a Flash Glucose Monitoring System for Adults with Type 2 Diabetes Mellitus Using Intensive Insulin - a UK Perspective

Aims: Estimate the costs associated with flash glucose monitoring as a replacement for routine self-monitoring of blood glucose (SMBG) in patients with type 2 diabetes mellitus (T2DM) using intensive insulin, from a UK National Health Service (NHS) perspective. Methods: The base-case cost calculation used the frequency of SMBG and healthcare resource use observed in the REPLACE trial. Scenario analyses considered SMBG at the flash monitoring frequencies observed in the REPLACE trial (8.3 tests per day) and a real-world analysis (16 tests per day). Results: Compared with 3 SMBG tests per day, flash monitoring would cost an additional £585 per patient per year, offset by a £776 reduction in healthcare resource use, based on reductions in emergency room visits (41%), ambulance call-outs (66%) and hospital admissions (77%) observed in the REPLACE trial. Per patient, the estimated total annual cost for flash monitoring was £191 (13.4%) lower than for SMBG. In the scenarios based on acquisition cost alone, flash monitoring was cost-neutral versus 8.3 SMBG tests per day (5% decrease) and cost-saving at higher testing frequencies. Conclusion: From a UK NHS perspective, for patients with T2DM using intensive insulin, flash monitoring is potentially cost-saving compared with routine SMBG irrespective of testing frequency.

The Cost-effectiveness of a Flash Glucose Monitoring System for Management of Patients with Type 2 Diabetes Receiving Intensive Insulin Treatment in Sweden

Flash glucose monitoring, an alternative to traditional self-monitoring of blood glucose (SMBG), prevents hypoglycaemic events without impacting glycated haemoglobin (REPLACE trial). Given the potential benefits, this study assessed the cost-effectiveness of using flash monitoring versus SMBG alone in patients with type 2 diabetes (T2D) receiving intensive insulin treatment in Sweden.Methods: This study used the IQVIA CORE Diabetes Model (IQVIA CDM, v8.5) to simulate the impact of flash monitoring versus SMBG over 40 years from the Swedish societal perspective. Baseline characteristics, intervention effects, and resource utilisation were derived from REPLACE; literature and Tandvårds-Läkemedelförmånsverket (TLV) sources informed utilities and costs. Scenario analyses explored the effect of key base case assumptions. Results: In base case analysis, direct medical costs for flash monitoring use were SEK1,630,586 (€158,523) versus SEK1,459,394 (€141,902) for SMBG use. Flash monitoring led to 0.56 additional quality-adjusted life years (QALYs; 6.21 versus 5.65 SMBG) for an incremental cost-effectiveness ratio (ICER) of SEK306,082/QALY (€29,762/QALY). ICERs for all scenarios remained under SEK400,000/QALY (€38,894/QALY). Conclusions: Hypoglycaemia and health utility benefits due to flash glucose monitoring may translate into economic value compared to SMBG. With robust results across scenario analyses, flash monitoring may be considered cost-effective in a Swedish population of T2D intensive insulin users.

Cost-effectiveness Analysis of a Flash Glucose Monitoring System for Patients with Type 1 Diabetes Receiving Intensive Insulin Treatment in Sweden

Flash glucose monitoring - an alternative to traditional self-monitoring of blood glucose (SMBG) - prevents hypoglycaemic events without impacting glycated haemoglobin (HbA1c).21 Given the potential benefits, this study assessed the cost-effectiveness of using flash monitoring versus SMBG alone in patients with type 1 diabetes (T1D) receiving intensive insulin treatment in Sweden. Methods: This study used the IQVIA CORE Diabetes Model (IQVIA CDM, v9.0) to simulate the impact of flash monitoring versus SMBG over 50 years from the Swedish societal perspective. Trial data informed cohort data, intervention effects, and resource utilisation; literature and Tåndvards-Läkemedelförmånsverket (TLV) sources informed utilities and costs. Scenario analyses explored the effect of key base case assumptions. Results: In base case analysis, direct medical costs for flash monitor use were SEK1,222,333 versus SEK989,051 for SMBG use. Flash monitoring led to 0.80 additional quality-adjusted life years (QALYs; 13.26 versus 12.46 SMBG) for an incremental cost effectiveness ratio (ICER) of SEK291,130/QALY. ICERs for all scenarios remained under SEK400,000/QALY. Conclusion: Hypoglycaemia and health utility benefits due to flash glucose monitoring may translate into economic value compared to SMBG. With robust results across scenario analyses, flash monitoring may be considered cost-effective in a Swedish population of T1D intensive insulin users.

Real-world flash glucose monitoring patterns and associations between self-monitoring frequency and glycaemic measures: A European analysis of over 60 million glucose tests

AIMS

Randomised controlled trials demonstrate that using flash glucose monitoring improves glycaemic control but it is unclear whether this applies outside trial conditions. We investigated glucose testing patterns in users worldwide under real life settings to establish testing frequency and association with glycaemic parameters.

METHODS

Glucose results were de-identified and uploaded onto a dedicated database once readers were connected to an internet-ready computer. Data between September 2014 and May 2016, comprising 50,831 readers and 279,446 sensors worldwide, were analysed. Scan rate per reader was determined and each reader was sorted into twenty equally-sized rank-ordered groups, categorised by scan frequency. Glucose parameters were calculated for each group, including estimated HbA_1c, time above, below and within range identified as 3.9-10.0 mmol/L.

RESULTS

Users performed a mean of 16.3 scans/day [median (IQR): 14 (10-20)] with 86.4 million hours of readings and 63.8 million scans. Estimated HbA_1c gradually reduced from 8.0% to 6.7% (64 to 50 mmol/mol) as scan rate increased from lowest to highest scan groups (4.4 and 48.1 scans/day, respectively; p < .001). Simultaneously, time below 3.9, 3.1 and 2.5 mmol/L decreased by 15%, 40% and 49%, respectively (all p < .001). Time above 10.0 mmol/L decreased from 10.4 to 5.7 h/day (44%, p < .001) while time in range increased from 12.0 to 16.8 h/day (40%, p < .001). These patterns were consistent across different countries.

CONCLUSIONS

In real-world conditions, flash glucose monitoring allows frequent glucose checks with higher rates of scanning linked to improved glycaemic markers, including increased time in range and reduced time in hyper and hypoglycaemia.

Point-of-Care Testing and Personalized Medicine for Metabolic Disorders

This chapter describes innovations in biomarker testing that can facilitate earlier and better treatment of patients who suffer from metabolic disorders. The use of new microfluidic devices along with miniaturized biosensors and transducers enables analysis of a single drop of a blood within the time frame of a typical visit to a doctor's office. Steps are underway so that these approaches will incorporate both biochemical and clinical data, resulting in unique bioprofiles for each patient. This will allow earlier, personalized, and more effective therapeutic options. In addition, smartphone apps for self-monitoring will be used increasingly for the best possible patient outcomes.

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

BACKGROUND

The rate of glycemic control among diabetes patients in China is currently low. The current study aims at determining the effect of structured self-monitoring of blood glucose (SMBG) on blood glucose control as well as quality of life (QoL) in Chinese diabetes patients.

METHODS

In a 24-week, single-center, randomized, open-label, prospective trial, patients with glycated hemoglobin A_1c (HbA_1c) >8.0% were randomized to an intervention group for structured SMBG (n = 121) or a control group (n = 129). Patient data were analyzed separately according to treatment with or without insulin. At 0, 3rd, and 6th months, life satisfaction was assessed using the Chinese Normal Audit of Diabetes-Dependent Quality of Life (CN-ADDQoL) questionnaire.

RESULTS

The mean HbA_1c decrease from baseline to the study end was significant for both groups with insulin treatment (intervention group: -1.79% ± 1.97%, P < 0.001; control group: -1.05% ± 1.87%, P < 0.001) or without insulin treatment (intervention group: -1.91% ± 1.90%, P < 0.001; control group: -1.35% ± 1.82%, P < 0.001). Moreover, the insulin-treated patients in the intervention group showed a significantly more robust HbA_1c decrease than those in the control group (P = 0.007). Both therapeutic subgroups in the intervention group had a significantly higher frequency of SMBG than those in the control group (P < 0.001), but no strict deterioration of the QoL was detected. In addition, a significant HbA_1c reduction after 6 months of SMBG was seen for both insulin-treated patients (P = 0.027) and noninsulin-treated patients (P = 0.006) younger than 66 years.

CONCLUSIONS

Featured with no strict deterioration of QoL, structured SMBG was proven to be effective on the glycemic control in patients with insulin treatment, as well as in young and middle-aged patients without insulin treatment.

Trends in Blood Glucose Test Strip Utilization: A Population-Wide Analysis in Saskatchewan, Canada

OBJECTIVES

To describe trends in blood glucose test strip (TS) utilization and cost in Saskatchewan.

METHODS

A retrospective analysis of TS use between January 1, 1996, and December 31, 2013, was conducted using population-based health administrative databases in Saskatchewan. The prescription drug database was used to describe the annual number of TS dispensations, the number of strips dispensed, the number of unique beneficiaries and the total costs. A patient-level analysis was also carried out to describe the patterns of TS use (i.e. light, moderate or heavy) by the entire cohort and by diabetes treatments. Potential cost savings due to a newly implemented restriction policy were estimated based on the most recent data (2013).

RESULTS

TS utilization increased dramatically between 1996 and 2013 in terms of the number of users and the average number of TSs received. The percentage of TS users receiving fewer than 4 TSs per week (i.e. light users) decreased by 20%, while the percentage of heavy users (i.e. those receiving more than 8 TSs per week) increased by 19%. During the same period, the use of high-risk oral hypoglycemic medications declined by 30% among all TS users. Heavy TS use was observed in at least one-third of all users, irrespective of treatment type.

CONCLUSIONS

If Saskatchewan's newly imposed coverage limits had been applied in 2013, the costs of strips exceeding those limits would have totalled $2.5 million. Although TS use aligns with chronic disease care paradigms, the substantial costs and lack of evidence of patient outcomes demand better strategies to help reduce unnecessary use.