Impact of Reducing Glycated Hemoglobin on Healthcare Costs Among a Population with Uncontrolled Diabetes

Health outcomes reported by healthcare providers and clients of a community-based medically tailored meal program

BACKGROUND

Medically tailored meal (MTM) programs provide home-delivered meals to people living with serious illness and poor nutritional status. Client outcome studies have found evidence of decreased healthcare utilization and cost savings associated with MTM program participation, and inconclusive evidence of change in health measures. The purpose of this study was to use a novel observational framework to describe the client profile and change in health outcomes using routinely collected health and program data from a community-based MTM program at MANNA (Philadelphia, PA).

METHODS

Clients reported their self-rated health and experiences of food insecurity and malnutrition. Healthcare providers reported clients' body mass index, systolic blood pressure, and hemoglobin A1C. These health outcomes, measured at program intake and 3-6 months later, were linked with administrative data for 1,959 clients who completed at least two months of MTM services in 2020, 2021, and 2022.

RESULTS

Clients exhibited substantial heterogeneity in demographics and health status at intake. Self-reported malnutrition risk decreased significantly over program duration (p < .001). Nearly one-third of clients with poor health reported improvement over time. Over 60% of clients with obesity experienced stable BMI. Clients with hypertension experienced significant improvements in systolic blood pressure (p < .001). Clients with diabetes and available data (n = 45) demonstrated significant reduction in hemoglobin A1C (p = .005).

CONCLUSION

We found evidence that participation in MANNA's MTM program was associated with favorable health outcomes for clients with serious illness and nutritional risk. Community-based organizations can maximize the completeness of their data by focusing on routinely collected internal data like validated health screeners and surveys.

Continuous glucose monitoring for the routine care of type 2 diabetes mellitus

Although continuous glucose monitoring (CGM) devices are now considered the standard of care for people with type 1 diabetes mellitus, the uptake among people with type 2 diabetes mellitus (T2DM) has been slower and is focused on those receiving intensive insulin therapy. However, increasing evidence now supports the inclusion of CGM in the routine care of people with T2DM who are on basal insulin-only regimens or are managed with other medications. Expanding CGM to these groups could minimize hypoglycaemia while allowing efficient adaptation and escalation of therapies. Increasing evidence from randomized controlled trials and observational studies indicates that CGM is of clinical value in people with T2DM on non-intensive treatment regimens. If further studies confirm this finding, CGM could soon become a part of routine care for T2DM. In this Perspective we explore the potential benefits of widening the application of CGM in T2DM, along with the challenges that must be overcome for the evidence-based benefits of this technology to be delivered for all people with T2DM.

An Economic Evaluation of the Relationship Between Glycemic Control and Total Healthcare Costs for Adults with Type 2 Diabetes: Retrospective Cohort Study

INTRODUCTION

Glycemic control is associated with better outcomes among individuals with type 2 diabetes (T2D). This research examines total US all-cause medical costs for adults with T2D with recommended glycemic control (HbA1c < 7%) compared to poor glycemic control (HbA1c ≥ 7%).

METHODS

The study used administrative claims data linked to HbA1c laboratory test results from January 1, 2015 through June 30, 2021 to identify adults with T2D with a recorded HbA1c test. Patients with recommended glycemic control at index date were propensity score matched to patients with poor glycemic control. General linear models and two-part models were used to compare all-cause outpatient, drug, acute care and total costs for 1 year post index date.

RESULTS

The study included 59,830 propensity-matched individuals. Results indicate that recommended glycemic control, compared to poor glycemic control, was associated with statistically significantly lower all-cause acute care ($23,868 ± $21,776 vs. $24,352 ± $22,223), drug ($10,277 ± $14,671 vs. $10,540 ± $14,928), and total medical costs ($41,381 ± $42,757 vs. $42,054 ± $43,422) but significantly higher outpatient costs ($7290 ± $12,028 vs. $7026 ± $11,587) (all p < 0.0001). Sensitivity analyses examined results based upon alternative HbA1c thresholds of ≤ 6.5% and < 8%. Results were generally robust to alternative HbA1c thresholds, with higher HbA1c thresholds associated with higher all-cause total costs as well as increased savings for having HbA1c below threshold.

CONCLUSIONS

Glycemic control was associated with significantly lower all-cause total, drug, and acute care medical costs. Given the high prevalence of T2D in the USA, our results suggest potential economic benefits associated with glycemic control for healthcare providers.

Cost-effectiveness of Lifestyle Africa: an adaptation of the diabetes prevention programme for delivery by community health workers in urban South Africa

BACKGROUND

Lifestyle Africa is an adapted version of the Diabetes Prevention Program designed for delivery by community health workers to socioeconomically disadvantaged populations in low- and middle-income countries (LMICs). Results from the Lifestyle Africa trial conducted in an under-resourced community in South Africa indicated that the programme had a significant effect on reducing haemoglobin A1c (HbA1c).

OBJECTIVE

To estimate the cost of implementation and the cost-effectiveness (in cost per point reduction in HbA1c) of the Lifestyle Africa programme to inform decision-makers of the resources required and the value of this intervention.

METHODS

Interviews were held with project administrators to identify the activities and resources required to implement the intervention. A direct-measure micro-costing approach was used to determine the number of units and unit cost for each resource. The incremental cost per one point improvement in HbA1c was calculated.

RESULTS

The intervention equated to 71 United States dollars (USD) in implementation costs per participant and a 0.26 improvement in HbA1c per participant.

CONCLUSIONS

Lifestyle Africa reduced HbA1c for relatively little cost and holds promise for addressing chronic disease in LMIC. Decision-makers should consider the comparative clinical effectiveness and cost-effectiveness of this intervention when making resource allocation decisions.

TRIAL REGISTRATION

Trial registration is at ClinicalTrials.gov (NCT03342274).

Lisdexamphetamine versus methylphenidate for paediatric patients with attention-deficit hyperactivity disorder and type 1 diabetes (LAMAinDiab): protocol for a multicentre, randomised cross-over clinical trial in an outpatient telemedicine-supported setting

INTRODUCTION

Attention deficit hyperactivity disorder (ADHD) affects 5%-10% of paediatric population and is reportedly more common in children with type 1 diabetes (T1D), exacerbating its clinical course. Proper treatment of ADHD in such patients may thus provide neurological and metabolic benefits. To test this, we designed a non-commercial second phase clinical trial comparing the impact of different pharmacological interventions for ADHD in children with T1D.

METHODS AND ANALYSIS

This is a multicentre, randomised, open-label, cross-over clinical trial in children and adolescents with ADHD and T1D. The trial will be conducted in four reference paediatric diabetes centres in Poland. Over 36 months, eligible patients with both T1D and ADHD (aged 8-16.5 years, T1D duration >1 year) will be offered participation. Patients' guardians will undergo online once-weekly training sessions behaviour management for 10 weeks. Afterward, children will be randomised to methylphenidate (long-release capsule, doses 18-36-54 mg) versus lisdexamphetamine (LDX, 30-50-70 mg). Pharmacotherapy will continue for 6 months before switching to alternative medication. Throughout the trial, the participants will be evaluated every 3 months by their diabetologist and online psychological assessments. The primary endpoint (ADHD symptom severity, Conners 3.0 questionnaire) will be assessed by a blinded investigator. Secondary endpoints will include HbA1c, continuous glucose monitoring indices and quality-of-life (PedsQL).

ETHICS AND DISSEMINATION

The trial is approved by Bioethical Committee at Medical University of Lodz and Polish regulatory agency (RNN/142/22/KE, UR/DBL/D/263/2022). The results will be communicated to the research and clinical community, and Polish agencies responsible for healthcare policy. Patient organisations focused on paediatric T1D will be notified by a consortium member. We hope to use the trial's results to promote collaboration between mental health professionals and diabetes teams, evaluate the economic feasibility of using LDX in patients with both diseases and the long run improve ADHD treatment in children with T1D.

TRIAL REGISTRATION NUMBERS

EU Clinical Trials Register (EU-CTR, 2022-001906-24) and NCT05957055.

Group-based trajectory analysis identifies varying diabetes-related cost trajectories among type 2 diabetes patients in Texas: an empirical study using commercial insurance

BACKGROUND

The trend of Type 2 diabetes-related costs over 4 years could be classified into different groups. Patient demographics, clinical factors (e.g., A1C, short- and long-term complications), and rurality could be associated with different trends of cost. Study objectives are to: (1) understand the trajectories of cost in different groups; (2) investigate the relationship between cost and key factors in each cost trajectory group; and (3) assess significant factors associated with different cost trajectories.

METHODS

Commercial claims data in Texas from 2016 to 2019 were provided by a large commercial insurer and were analyzed using group-based trajectory analysis, longitudinal analysis of cost, and logistic regression analyses of different trends of cost.

RESULTS

Five groups of distinct trends of Type 2 diabetes-related cost were identified. Close to 20% of patients had an increasing cost trend over the 4 years. High A1C values, diabetes complications, and other comorbidities were significantly associated with higher Type 2 diabetes costs and higher chances of increasing trend over time. Rurality was significantly associated with higher chances of increasing trend over time.

CONCLUSIONS

Group-based trajectory analysis revealed distinct patient groups with increased cost and stable cost at low, medium, and high levels in the 4-year period. The significant associations found between the trend of cost and A1C, complications, and rurality have important policy and program implications for potentially improving health outcomes and constraining healthcare costs.

Real-World Clinical and Economic Outcomes Among Persons With Multiple Sclerosis Initiating First- Versus Second- or Later-Line Treatment With Ocrelizumab

INTRODUCTION

Prior research has demonstrated that early treatment with high-efficacy disease-modifying therapies (DMTs), including ocrelizumab (OCR), can reduce relapses and delay disease progression among persons with multiple sclerosis (pwMS) compared with escalation from low-/moderate-efficacy DMTs. However, there is a lack of research examining the impact of early use of OCR on real-world clinical and economic outcomes. This study aimed to evaluate differences in events often associated with a relapse (EOAR) as well as non-DMT healthcare resource use (HCRU) and costs among pwMS who received OCR as a first-line treatment compared with later-line treatment after diagnosis.

METHODS

Newly diagnosed adult pwMS were selected from deidentified Optum Market Clarity claims data (study period: January 1, 2015-June 30, 2021). All pwMS were required to have initiated OCR after diagnosis and have 12 months of continuous eligibility prior to diagnosis. The index date was the date of initiation of the first-line DMT after diagnosis. pwMS who initiated OCR as first-line (1L OCR cohort) or a second- or later-line treatment (2L + OCR cohort) were matched 1:1 based on length of continuous eligibility after the first-line DMT and weighted using stabilized inverse probability of treatment. In the follow-up period, differences in outcomes, including annualized EOAR, non-DMT HCRU and costs, were evaluated for pwMS in the 1L vs. 2L + OCR cohorts.

RESULTS

The sample included 748 pwMS. During the follow-up period, pwMS in the 1L OCR cohort had a significantly lower annual rate of EOAR compared with pwMS in the 2L + OCR cohort (0.37 vs. 0.56; difference: 0.20 [95% CI 0.08, 0.32]). pwMS in the 1L OCR cohort had a significantly lower probability of any hospitalization within 1 year, fewer non-DMT outpatient visits and lower all-cause and MS-related, non-DMT costs compared with pwMS in the 2L + OCR cohort.

CONCLUSIONS

First-line initiation OCR was associated with improvements in clinical and non-DMT economic outcomes compared with later-line initiation of OCR, suggesting that early initiation may benefit both patients and the healthcare system.

A Payer-Provider Partnership for Endocrine Targeted Automatic eConsults: Implementation and Early Impact on Diabetes and Cost Outcomes

In the United States, many individuals with diabetes mellitus (DM) do not achieve treatment goals despite the availability of effective interventions. Provider clinical inertia is one cause of these unfavorable outcomes. Targeted automatic eConsults (TACos) are an emerging technology-based intervention with potential to address clinical inertia in primary care (PC). TACos prospectively identify at-risk patients and use unsolicited specialist recommendations to prompt treatment intensification. Through a payer-provider collaboration, a TACos intervention was piloted for adults with uncontrolled DM (HbA1c >8%) to understand impact on DM clinical inertia and outcomes. Clinical inertia was assessed by measuring whether a PC provider implemented recommended therapeutic changes. Six-month changes in HbA1c and health care costs per member per month were evaluated using an observational matched design and intention-to-treat (ITT) analysis. The analysis included 196 individuals who received a TACos between February 2021 and August 2021 (ITT group) matched to 392 controls based on clinical and demographic criteria. TACos recommendations were implemented 65% of the time. Median percent change in HbA1c was significantly greater for the ITT group versus controls (-10.9% vs. -10.2%; P = 0.0359). Median total costs were 7.9% lower in the ITT group (P = 0.0900). A per protocol analysis was done to examine effects between ITT group individuals with an implemented TACos recommendation (n = 126) and controls. Median percent change in HbA1c was significantly greater (-19.5% vs. -10.2%; P < 0.0001), but there was no difference in total costs (-7.9%; P = 0.1753). TACos may feasibly address clinical inertia in PC and improve HbA1c for uncontrolled DM.

Budget Impact Analysis of Empagliflozin in the Treatment of Patients With Type 2 Diabetes With Established Cardiovascular Disease in South Africa

OBJECTIVES

This study aimed to estimate the budget impact and affordability of empagliflozin added to usual care compared with usual care alone, in a diabetic population with established cardiovascular disease, from a private healthcare payer perspective in South Africa.

METHODS

A budget impact model was adapted and localized. Epidemiological data were obtained from the South African Council for Medical Schemes. Clinical event rates were sourced from the EMPA-REG OUTCOME trial and drug costs from list prices. Clinical event costs were derived from a claims data analysis of the South African private healthcare sector and microcosting. Scenario analyses were performed on select inputs. The modeled outcomes included annual budget impact of empagliflozin, the incremental cost per life per month, cardiovascular deaths averted, and incremental cost per life saved, over 3 years.

RESULTS

A total of 9 503 patients were eligible for empagliflozin (year 1), 12 670 (year 2), and 16 947 (year 3). The incremental cost was $1 272 297, $1 764 705, and $2 455 235, for years 1 to 3, respectively. The incremental cost per beneficiary per month was calculated as $0.012 (year 1), $0.016 (year 2), and $0.023 (year 3). The model estimated a 38.6% reduction in cardiovascular deaths, 305 lives saved, and an incremental cost per life saved of $17 999.

CONCLUSIONS

Adding empagliflozin to usual care has a marginal budget implication and is highly affordable for private healthcare payers, with an acceptable incremental cost based on clinical outcomes.

Glycemic outcomes in patients with type 2 diabetes after bariatric surgery compared with routine care: a population-based, real-world cohort study in the United Kingdom

BACKGROUND

Clinical trials have shown that bariatric surgery (BS) is associated with better glycemic control and diabetes remission in patients with type 2 diabetes (T2D) compared with routine care.

OBJECTIVE

We conducted a real-world population-based study examining the impact of BS on glycemic control and medications in patients with T2D.

SETTING AND METHODS

This was a retrospective, matched, controlled cohort study conducted between January 1, 1990, and January 31, 2018, using IQVIA Medical Research Data, a primary care electronic records database. Adults with body mass index (BMI) ≥30 kg/m² and T2D who had BS (surgical) were matched for age, sex, BMI, and diabetes duration to two controls (with T2D and no BS).

RESULTS

A total of 1126 patients in the surgical group and 2219 patients in the control group were analyzed. Mean (standard deviation) age was 50.0 (9.3) years, 67.6% were women, baseline glycocylated hemoglobin (HbA1C) was 7.8% (1.7 mmol/mol), and diabetes duration was 4.7 years (range, 2.0-8.4 years). Over a median (interquartile range) follow-up of 3.6 years (1.7-5.9 years), a higher proportion of patients in the surgical group achieved an HbA1C of ≤6.0% than the control group (65.8% versus 22.8%). The surgical group showed a decrease in mean HbA1C of 1.5% (95% confidence interval [CI]: 1.4%-1.7%), 1.4% (1.2%-1.5%), and 1.3% (1.1%-1.5%) at 1-, 2-, and 3-year follow-up, respectively, whereas HbA1C increased in the control group. The proportion of patients receiving glucose-lowering medications decreased in the surgical group (92.2% to 66.5%) but increased in the control group (85.3% to 90.2%).

CONCLUSION

BS is associated with significant improvement in glycemic control, achievement of normal HbA1C levels, and reduced need for glucose-lowering therapy in patients with T2D.

[The Economic Evaluation of the GLICEMIA 2.0 Study as an Example of a Complex Intervention]

BACKGROUND

A piggyback approach was used to evaluate the cost-effectiveness of the prevention program delivered at the point of care pharmacy in the GLICEMIA 2.0 study that sought to guide participants in the intervention group to improved glycemic control in type 2 diabetes with sustained incentivization of lifestyle changes, therapeutic compliance, and adherence. The control group received passive medication management and monitoring.

METHODS

Primary endpoint of the GLICEMIA 2.0 study was the stabilization of HbA1c values. For health economic evaluation, incremental differences in output changes were examined, defined as the difference in the distribution of the HbA1c values between both groups over time. Direct program costs and anticipated indirect costs of service utilization were used as cost parameters. A net monetary benefit approach was used to validate cost-effectiveness thresholds via the formation of ICER values.

RESULTS

The intervention group had significantly higher reductions in HbA1c-values. Risk stratification of initial HbA1c showed (short-term) cost effectiveness for initially higher HbA1c values. Due to the limited study period, no long-term differences in medical resource utilization could be assessed.

CONCLUSION

The GLICEMIA program indicates considerable effectiveness potentials, especially for high-risk patients. The study design seems to have assisted the intervention group's adherence in contrast to the control group. Detailed impacts within the complex intervention could not be validated due to restrictions of the study design as a complex intervention. Overall, statements about effect sustainability and further utilization rates progressions are limited due to a lack of follow-up.

Bridge to Health/Puente a la Salud: a pilot randomized trial to address diabetes self-management and social needs among high-risk patients

Social needs contribute to persistent diabetes disparities; thus, it is imperative to address social needs to optimize diabetes management. The purpose of this study was to determine determine the feasibility and acceptability of health system-based social care versus social care + behavioral intervention to address social needs and improve diabetes self-management among patients with type 2 diabetes. Black/African American, Hispanic/Latino, and low-income White patients with recent hemoglobin A1C (A1C) ≥ 8%, and ≥1 social need were recruited from an integrated health system. Patients were randomized to one-of-two 6-month interventions: (a) navigation to resources (NAV) facilitated by a Patient Navigator; or (b) NAV + evidence-based nine-session diabetes self-management support (DSMS) program facilitated by a community health worker (CHW). A1C was extracted from the electronic health record. We successfully recruited 110 eligible patients (54 NAV; 56 NAV + DSMS). During the trial, 78% NAV and 80% NAV + DSMS participants successfully connected to a navigator; 84% NAV + DSMS connected to a CHW. At 6-month follow-up, 33% of NAV and 34% of NAV + DSMS participants had an A1C < 8%. Mean reduction in A1C was clinically significant in NAV (-0.65%) and NAV + DSMS (-0.72%). By follow-up, 89% of NAV and 87% of NAV + DSMS were successfully connected to resources to address at least one need. Findings suggest that it is feasible to implement a health system-based social care intervention, separately or in combination, with a behavioral intervention to improve diabetes management among a high-risk, socially complex patient population. A larger, pragmatic trial is needed to test the comparative effectiveness of each approach on diabetes-related outcomes.

Impact of pharmacist participation in the patient care team on value-based health measures

DISCLAIMER

In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

PURPOSE

To evaluate whether pharmacist engagement on the interdisciplinary team leads to improved performance on diabetes-related quality measures.

METHODS

This was a retrospective observational study of patients seen in primary care and specialty clinics from October 2014 to October 2020. Patients were included if they had a visit with a physician, nurse practitioner, physician's assistant, or clinical pharmacist practitioner (CPP) within the study period and had a diagnosis of diabetes. The intervention group included patients with at least one visit with a CPP, while the control group consisted of patients who were exclusively managed by non-CPP providers. The primary outcome of this study was the median change in glycosylated hemoglobin (HbA1c) from baseline to follow-up at 3, 6, and 12 months. The secondary outcome was the probability of achieving the HbA1c targets of <7% and <8% at 3, 6, and 12 months.

RESULTS

Patients referred to a CPP had higher HbA1c levels at baseline and were more likely to have concomitant hypertension (P < 0.01). Patients seen by a CPP had 0.31%, 0.41%, and 0.44% greater reductions in HbA1c compared to patients in the control group at 3, 6, and 12 months, respectively (P < 0.01). Patients managed by a CPP were also more likely to achieve the identified HbA1c targets of <7% and <8%.

CONCLUSION

Patients referred to a CPP were more complex, but had greater reductions in HbA1c and were more likely to achieve HbA1c goals included in the organization's quality measures. This study demonstrates the value of pharmacists in improving patient care and their role in supporting an organization's achievement of value-based quality measures.

Predicting Glycated Hemoglobin Through Continuous Glucose Monitoring in Real-Life Conditions: Improved Estimation Methods

BACKGROUND

The adoption of continuous glucose monitoring (CGM) already helps to improve glycemic control in diabetes. When coupled with appropriate data analysis techniques, CGM also provides dependable estimates for significant metrics, like glycated hemoglobin (HbA1c). Findings from the REALISM-T1D study can boost HbA1c estimation methods in diabetes care and stimulate their use in clinical practice.

METHODS

Continuous glucose monitoring data of 27 adults affected by type-1 diabetes were acquired by means of G6 (Dexcom, San Diego, CA) sensors for a time span of 120 days. Glycated hemoglobin laboratory assays were performed during the concluding follow-up visits. Data were then analyzed to derive estimates of assay results, taken as the gold standard.

RESULTS

Bland-Altman (BA) plots show that smart interpolation to patch missing data and a wise choice of interstitial glucose (IG) weighting function, besides a proper mean interstitial glucose (MIG) to HbA1c regression equation, improve HbA1c estimation quality with respect to methods relying on MIG alone. A decrease in the BA plot-related variance of differences with respect to the gold standard confirms the improvement. Wilcoxon signed-rank tests on the bias-compensated mean squared error (MSE) with respect to conventional MIG-based methods show that the improvement is statistically significant with a confidence level better than 95% (P = .0179).

CONCLUSIONS

Improved HbA1c estimation methods result in better HbA1c prediction quality with respect to those based on MIG alone, thus providing quick, but still relatively accurate feedback to diabetologists. They alleviate the discordances reported in literature and, with further improvements, may become a viable complement/alternative to HbA1c assays.

Effectiveness and economic impact of a diabetes education program among adults with type 2 diabetes in South Texas

BACKGROUND

The long-term growth and sustained high prevalence of obesity in the US is likely to increase the burden of Type 2 diabetes. Hispanic individuals are particularly burdened by a larger share of diabetes than non-Hispanic White individuals. Given the existing health disparities facing this population, we aimed to examine the effectiveness and potential cost savings of the Diabetes Education Program (DEP) offered as part of Healthy South Texas, a state-legislated initiative to reduce health disparities in 27 counties in South Texas with a high proportion of Hispanic adults.

METHODS

DEP is an 8-h interactive workshop taught in English and Spanish. After the workshop, participants receive quarterly biometric screenings and continuing education with a health educator for one year. Data were analyzed from 3859 DEP participants with Type 2 diabetes living in South Texas at five time points (baseline, 3-months, 6-months, 9-months, 12-months). The primary outcome variable of interest for study analyses was A1c. A series of independent sample t-tests and linear mixed-model regression analyses were used to identify changes over time. Two methods were then applied to estimate healthcare costs savings associated with A1c reductions among participants.

RESULTS

The majority of participants were ages 45-64 years (58%), female (60%), Hispanic (66%), and had a high school education or less (75%). At baseline, the average hemoglobin A1c was 8.57%. The most substantial reductions in hemoglobin A1c were identified from baseline to 3-month follow-up (P < 0.001); however, the reduction in A1c remained significant from baseline to 12-month follow-up (P < 0.001). The healthcare cost savings associated with improved A1c for the program was estimated to be between $5.3 to $5.6 million over a two to three year period.

CONCLUSION

Findings support the effectiveness of DEP with ongoing follow-up for sustained diabetes risk management. While such interventions foster clinical-community collaboration and can improve patient adherence to recommended lifestyle behaviors, opportunities exist to complement DEP with other resources and services to enhance program benefits. Policy makers and other key stakeholders can assess the lessons learned in this effort to tailor and expand similar initiatives to potentially at-risk populations.

TRIAL REGISTRATION

This community-based intervention is not considered a trial by ICMJE definitions, and has not be registered as such.

Budget Impact of the Flash Continuous Glucose Monitoring System in Medicaid Diabetes Beneficiaries Treated with Intensive Insulin Therapy

Objective: We assessed the economic impact of using the newest flash continuous glucose monitoring (CGM) among Medicaid beneficiaries with diabetes treated with intensive insulin therapy (IIT). Research Design and Methods: A budget impact analysis was created to assess the impact of increasing the proportion of Medicaid beneficiaries with diabetes on IIT, who use flash CGM by 10%. The analysis included glucose monitoring device costs, cost savings due to reductions in glycated hemoglobin, severe hypoglycemia events, and hyperglycemic emergencies such as diabetic ketoacidosis. The net change in costs per person to adopt flash CGM for three populations treated with IIT (adults with type 1 diabetes [T1D] or type 2 diabetes [T2D], and children and adolescents with T1D or T2D) was calculated; these costs were used to estimate the impact of increasing flash CGM use by 10% to the U.S. Medicaid budget over 1-3 years. Results: The analysis found that flash CGM demonstrated cost savings in all populations on a per patient basis. Increasing use of flash CGM by 10% was associated with a $19.4 million overall decrease in costs over the year and continued to reduce costs by $25.3 million in years 2 and 3. Conclusions: Our results suggest that the new flash CGM system can offer cost savings compared to blood glucose monitoring in Medicaid beneficiaries treated with IIT, especially T1D adults, and children and adolescents. These findings support expanding access to CGM by Medicaid plans.

Effect of Group Patient Education on Glycemic Control Among People Living with Type 2 Diabetes in Vietnam: A Randomized Controlled Single-Center Trial

INTRODUCTION

In low- to middle-income countries such as Vietnam, urgent measures are required to prevent and control type 2 diabetes and its complications. This study measured the effect of a 3-month patient education and self-management intervention in a low-resource setting on diabetes knowledge and levels of blood glucose control.

METHODS

This was a single-center randomized controlled study among adult outpatients with type 2 diabetes. Patients were randomly assigned to 3-month community intervention consisting of group education for type 2 diabetes knowledge, diet, exercise in combination with usual diabetes care, or to usual diabetes care alone (control). Diabetes knowledge was measured with a modified Michigan University Diabetes Knowledge Test (MDKT). Other study outcomes included change in mean HbA1c, fasting blood glucose (FBG), and systolic blood pressure (SBP).

RESULTS

A total of 364 patients were randomized, 182 to the intervention group and 182 to control. The two groups were similar regarding main baseline characteristics. The male/female ratio was 45.1%/54.9% and mean age was 62.2 ± 9.3 years. Approximately half the patients (48.1%) were overweight and 15.7% were obese, mean baseline HbA1c was 8.21 ± 1.92%, and only 29.9% of participants had a baseline HbA1c < 7.0%. At baseline, diabetes knowledge was "very poor" or "poor" in 63.7% of patients. After a 3-month follow-up, the proportion achieving the target MDKT score increased from 37.4% to 81.3% in the intervention group and from 35.2% to 51.7% in the control (between-group difference P < 0.001). The estimate (SD) of the difference between intervention and control groups was - 1.63 (2.16), 95% CI - 2.07 to - 1.18. Mean changes from baseline HbA1c were - 0.54 ± 1.41% and - 0.18 ± 1.33% in the intervention and control groups, respectively (P = 0.012). Among those with poor glycemic control (HbA1c ≥ 7%) at baseline, mean changes at 3 months were - 0.80 ± 1.52% vs 0.41 ± 1.47%, respectively, (P = 0.013). Statistically significant decreases in FBG and SBP were also observed in the intervention group at 3 months, but not in the control group. Multivariate analysis revealed the variables with the strongest influence on blood glucose control at 3 months were study group, baseline MDKT score, diabetes duration, and baseline HbA1c (all P ≤ 0.05).

CONCLUSION

Provision of a structured educational program to Vietnamese people living with type 2 diabetes is effective at improving disease knowledge and is associated with better glycemic control. Larger and longer-term studies are now warranted to confirm these findings.

TRIAL REGISTRATION

This trial was retrospectively registered on 27 May 2020 through the https://clinicaltrials.gov site with the following identifier: NCT04403841.

Flash Continuous Glucose Monitoring: A Summary Review of Recent Real-World Evidence

Optimizing glycemic control remains a shared challenge for clinicians and their patients with diabetes. Flash continuous glucose monitoring (CGM) provides immediate information about an individual's current and projected glucose level, allowing users to respond promptly to mitigate or prevent pending hypoglycemia or hyperglycemia. Large randomized controlled trials (RCTs) have demonstrated the glycemic benefits of flash CGM use in both type 1 and type 2 diabetes. However, whereas RCTs are mostly focused on the efficacy of this technology in defined circumstances, real-world studies can assess its effectiveness in wider clinical settings. This review assesses the most recent real-world studies demonstrating the effectiveness of flash CGM use to improve clinical outcomes and health care resource utilization in populations with diabetes.

Healthcare resource utilization and cost among patients with type 1 diabetes in the United States

BACKGROUND: Approximately 5%-10% of patients with diabetes are diagnosed with type 1 diabetes mellitus (T1DM), the incidence and prevalence of which is projected to increase through 2050. Despite this, T1DM-related health care resource utilization (HCRU) and economic burden in the United States have not been adequately assessed, since previous studies used various cost definitions and underlying methods to examine these outcomes. OBJECTIVE: To assess HCRU and costs incurred by patients with T1DM in the United States. METHODS: This retrospective cohort study used IBM Watson MarketScan data from 2011 to 2015 and Optum's electronic medical record (EMR) and integrated data (i.e., linked EMR and administrative claims data) from 2011 to 2016. Included patients had ≥ 1 T1DM diagnosis (the earliest diagnosis date was designated as the index date), were continuously enrolled for ≥ 6 months during their pre-index baseline periods, and had ≥ 1 pharmacy claim for insulin or an insulin pump within ± 90 days of the index date. Baseline demographic and clinical characteristics were summarized descriptively. Average monthly HCRU and costs per patient per month (PPPM) paid by the health plan and patient were assessed. Costs were adjusted for inflation to 2018 U.S. dollars. RESULTS: We identified 181,423 patients with T1DM who met the selection criteria in MarketScan, 84,759 in the Optum EMR, and 8,948 in the Optum integrated databases. Most patients were male (range across databases: 52.6%-53.1%), relatively young (medians: 33-35 years, overall range: 0-100 years), and had a Charlson Comorbidity Index score of 1 (69.2%-73.0%) across all databases. Total all-cause and diabetes-related costs ranged from $1,482 to $1,522 and $733 to $780 PPPM, respectively, during the follow-up period. Pharmacy costs contributed most to the total cost of care, accounting for 55.3% ($431) to 61.1% ($448) of total diabetes-related costs. On an annualized basis, patients had an average of 0.2-0.9 all-cause hospitalizations and 0.1-0.3 diabetes-related hospitalizations during follow-up. The median costs per diabetes-related hospitalization ranged from $6,548 to $8,439, accounting for 4%-7% of total monthly diabetes-related costs. Patients had an average of 0.4-0.5 all-cause and 0.1-0.2 diabetes-related emergency department (ED) visits annually; the median costs of ED visits were $972-$1,499, contributing about 2% of monthly diabetes-related costs during follow-up. CONCLUSIONS: In this large, retrospective, observational study of pediatric and adult patients with T1DM, diabetes-related costs totaled nearly $800 per month. Pharmacy costs contributed to over half of diabetes-related costs, indicating the substantial economic burden associated with the treatment of T1DM. Additional research is needed to determine risk factors associated with costly events (e.g., hospitalizations and ED visits) and indirect costs associated with T1DM. DISCLOSURES: JDRF International provided funding for this project and manuscript. JDRF International also contracted with Evidera, a research and consulting firm for the biopharma industry, for its participation in the project and in the development of this manuscript. The Leona M. and Harry B. Helmsley Charitable Trust provided JDRF International with funding. Simeone, Shah, and Ganz are employed by Evidera and do not receive any payment or honoraria directly from Evidera's clients. LeGrand is an employee of JDRF International. Bushman was employed by JDRF International during the conduct of the study and development of this manuscript. Sullivan and Koralova are employees of The Leona M. and Harry B. Helmsley Charitable Trust.

Implementing a Diabetes Education Program to Reduce Health Disparities in South Texas: Application of the RE-AIM Framework for Planning and Evaluation

Health disparities in diabetes management and control are well-documented. The objective of this study is to describe one diabetes education program delivered in the United States in terms of the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) Planning and Evaluation Framework. Questionnaires, clinical data, and administrative records were analyzed from 8664 adults with diabetes living in South Texas, an area characterized by high health disparities. The Diabetes Education Program delivered was a professionally led 12-month program involving 8 h of in-person workshop education followed by quarterly follow-up sessions. Changes in average blood glucose levels over the past 3 months (e.g., A1c levels) were the primary clinical outcome. Descriptive and multiple generalized linear mixed models were performed. This community-based initiative reached a large and diverse population, and statistically significant reductions in A1c levels (p < 0.01) were observed among participants with Type 2 diabetes at 3 months. These reductions in A1c levels were sustained at 6-, 9-, and 12-month follow-up assessments (p < 0.01). However, considerable attrition over time at follow-up sessions indicate the need for more robust strategies to keep participants engaged. For this diabetes education program, the RE-AIM model was a useful framework to present study processes and outcomes.

The Association Between Poor Glycemic Control and Health Care Costs in People With Diabetes: A Population-Based Study

OBJECTIVE

To analyze the differences in health care costs according to glycemic control in people with type 2 diabetes.

RESEARCH DESIGN AND METHODS

Data on health care resource utilization from 100,391 people with type 2 diabetes were extracted from the electronic database used at the Catalan Health Institute. Multivariate regression models were carried out to test the impact of glycemic control (HbA_1c) on total health care, hospital admission, and medication costs; model 1 adjusted for a variety of covariates, and model 2 also included micro- and macrovascular complications. Glycemic control was classified as good for HbA_1c <7%, fair for ≥7% to <8%, poor for ≥8% to <10%, and very poor for ≥10%.

RESULTS

Mean per patient annual direct medical costs were €3,039 ± SD €6,581. Worse glycemic control was associated with higher total health care costs: compared with good glycemic control, health care costs increased by 18% (€509.82) and 23% (€661.35) in patients with very poor and poor glycemic control, respectively, when unadjusted and by €428.3 and €395.1, respectively, in model 2. Medication costs increased by 12% in patients with fair control and by 28% in those with very poor control (model 2). Patients with poor control had a higher probability of hospitalization than those with good control (5% in model 2) and a greater average cost when hospitalization occurred (€811).

CONCLUSIONS

Poor glycemic control was directly related to higher total health care, hospitalization, and medication costs. Preventive strategies and good glycemic control in people with type 2 diabetes could reduce the economic impact associated with this disease.

Impact of an Advanced Practice Pharmacist Type 2 Diabetes Management Program: A Pilot Study

BACKGROUND

The purpose of this study was to describe the impact of an Advanced Practice Pharmacist (APh) on lowering hemoglobin A1c (HbA1c) in patients with type 2 diabetes within a patient centered medical home (PCMH) and to classify the types of therapeutic decisions made by the APh.

METHODS

This was a retrospective study using data from electronic health records. The study evaluated a partnership between Chapman University School of Pharmacy and Providence St. Joseph Heritage Healthcare that provided diabetes management by an Advanced Practice Pharmacist in a PCMH under a collaborative practice agreement. Change in the HbA1c was the primary endpoint assessed in this study. The type of therapeutic decisions made by the APh were also evaluated. Descriptive analysis and Wilcoxon signed ranktest were used to analyze data.

RESULTS

The study included 35 patients with diagnosis of type 2 diabetes mellitus managed by an APh from May 2017 to December 2017. Most of the patients were 60-79 years old (68.5%), 45.7% were female, and 45.7% were of Hispanic/Latino ethnicity. The average HbA1cwas 8.8%±1.4% (range=6.0%-12.4%) and 7.5%±1.4% (range=5.5%-12.4%) at the initial and final APh visit, respectively (p<0.0001). Therapeutic decisions made by the APh included drug dose increase (35.5% of visits), drug added (16.4%), drug dose decrease (6.4%), drug switch (5.5%), and drug discontinuation (1.8%).

CONCLUSION

The Advanced Practice Pharmacist's interventions had a significant positive impact on lowering HbA1c in patients with type 2 diabetes mellitus in a PCMH. The most common therapeutic decisions made by the APh included drug dose increase and adding a new drug.

Disease management in diabetes care: When involving GPs improves patient compliance and health outcomes

Although the study of the association between interventions in primary care and health outcomes continues to produce mixed findings, programs designed to promote the greater compliance of General Practitioners and their diabetic patients with guidelines have been increasingly introduced worldwide, in an attempt to achieve better quality diabetes care through the enhanced standardisation of patient supervision. In this study, we use clinical data from the Diabetes Register of one large Local Health Authority (LHAs) in Italy's Emilia-Romagna Region for the period 2012-2015. Firstly, we investigate whether GPs' participation in the local Diabetes Management Program (DMP) leads to improved patient compliance with regional guidelines. Secondly, we test whether the monitoring activities prescribed for diabetics by the Regional diabetes guidelines have a positive impact on patients' health outcomes and increase appropriateness in health care utilization. Our results show that such a Program, which aims to increase GPs' involvement and cooperation in following the Regional guidelines, achieves its goal of improved patient compliance with the prescribed actions. In turn, through the implementation of the DMP and the greater involvement of physicians, Regional policies have succeeded in promoting better health outcomes and improved appropriateness of health care utilization.