Medical Expenditures Associated With Diabetes Among Youth With Medicaid Coverage

Increase Access, Reduce Disparities: Recommendations for Modifying Medicaid CGM Coverage Eligibility Criteria

Numerous studies have demonstrated the clinical value of continuous glucose monitoring (CGM) in type 1 diabetes (T1D) and type 2 diabetes (T2D) populations. However, the eligibility criteria for CGM coverage required by the Centers for Medicare & Medicaid Services (CMS) ignore the conclusive evidence that supports CGM use in various diabetes populations that are currently deemed ineligible. In an earlier article, we discussed the limitations and inconsistencies of the agency's CGM eligibility criteria relative to current scientific evidence and proposed practice solutions to address this issue and improve the safety and care of Medicare beneficiaries with diabetes. Although Medicaid is administered through CMS, there is no consistent Medicaid policy for CGM coverage in the United States. This article presents a rationale for modifying and standardizing Medicaid CGM coverage eligibility across the United States.

Development and Validation of a Diabetes Questionnaire for Middle School Students

OBJECTIVE

To develop and validate a questionnaire to assess diabetes knowledge, attitudes, beliefs, and intent to change among middle school students.

DESIGN

A cross-sectional validation analysis.

SETTING

Students in 3 urban middle schools in Utah participated in this study.

PARTICIPANTS

The 25-item questionnaire was validated in independent samples of 277 and 304 students in the seventh and eighth grades.

VARIABLES MEASURED

The questionnaire includes the following variables: diabetes knowledge, attitudes, beliefs, and intent to change dietary and physical activity behaviors.

ANALYSIS

Rigorous statistical approaches, including Cronbach's α (goodness of fit) calculation, test-retest reliability, and exploratory and confirmatory factor analyses, were employed to examine the reliability and construct validity.

RESULTS

The Cronbach's α coefficients were 0.7 for both subscales demonstrating acceptable internal consistency. All factor loadings were > 0.4, revealing close relations between factors and items. The confirmatory factor analysis model fit was 0.9 for the comparative fit index and Tucker-Lewis Index, indicating a reasonable model-data fit.

CONCLUSIONS AND IMPLICATIONS

This study demonstrated the validity of a diabetes questionnaire for middle school students. Future work is needed to validate its use in a diabetes prevention program, given the growing need for diabetes education among young adolescents.

Utility of plasma beta-hydroxybutyrate to define resolution of diabetic ketoacidosis

BACKGROUND

Diabetic ketoacidosis (DKA) is a common, life-threatening complication of type 1 diabetes (T1D) characterized by unregulated ketogenesis caused by relative or absolute insulin deficiency. DKA management requires frequent biochemical monitoring. Plasma ß-hydroxybutyrate (BOHB) has not been included in traditional definitions of DKA resolution.

OBJECTIVE

The aim of this study was to determine a cut-point level of BOHB to define DKA resolution in patients with T1D treated with intravenous (IV) insulin.

SUBJECTS

We identified patients with T1D receiving IV insulin for DKA treatment at a quaternary children's hospital from January 1, 2017 through December 31, 2020 who had plasma measurements of BOHB after DKA onset and whose DKA resolved by traditional laboratory criteria (venous pH (vpH) ≥ 7.3, serum bicarbonate (HCO3 ) ≥ 15 mmol/L, and/or anion gap (AG) ≤ 14 mmol/L).

METHODS

Associations between plasma BOHB and vpH, HCO3 , and AG were evaluated via scatterplots. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate BOHB cut-points to predict DKA resolution.

RESULTS

We analyzed 403 patients with 471 unique encounters. Plasma BOHB showed the most robust relationship with AG. The ROC curve comparing plasma BOHB to the accepted definition of DKA resolution, AG ≤14 mmol/L, had an AUC of 0.92. A BOHB value of <1.5 mmol/L had a sensitivity of 83% and specificity of 87%; this cut-point correctly classified 86% of the observations.

CONCLUSIONS

A plasma BOHB value of <1.5 mmol/L can be used to define resolution of DKA.

Impact of type 1 diabetes on the composition and functional potential of gut microbiome in children and adolescents: possible mechanisms, current knowledge, and challenges

Diabetes prevalence and incidence among youth have been increasing globally. Type 1 Diabetes (T1D) in children or adolescents accounts for 5-10% of all diagnosed cases of diabetes. Emerging evidence indicates that genetic factors, especially genes in the human leukocyte antigen region, are not the only factors involved in the predisposition of an individual to T1D. The pathogenesis and development of T1D is driven by both genetic predisposition and environmental factors. Studies indicate that gut microbiota is one of the potential environmental influencers involved in the pathophysiology of TID. Gut microbiota mediates the development of diabetes by altering intestinal permeability, modifying intestinal immunity, and molecular mimicry. The gut microbial diversity, taxonomic profile, and functional potential of gut microbes are significantly altered in individuals with T1D as compared to healthy individuals. However, studies are still needed to identify the specific microbes and microbial metabolites that are involved in the development and pathogenesis of T1D. This will help the development of microbiome-based therapeutic strategies for the prevention and treatment of T1D. The present review article highlights the following: (i) the current knowledge and knowledge gaps in understanding the association between T1D and gut microbiome specifically focusing on the composition and functional potential of gut microbiome in children and adolescents, (ii) the possible mechanisms involved in gut microbiome-mediated T1D pathogenesis, and (iii) challenges and future direction in this field.Abbreviations: B/F ratio: Bacteroidetes to Firmicutes ratio; F/B ratio: Firmicutes to Bacteroidetes ratio; FDR: First-degree relatives; GPR: G protein-coupled receptors; HLA: human leucocyte antigen; IL: interleukin; IFN- γ: interferon-γ; KEGG: Kyoto Encyclopedia of Genes and Genomes; LPS: lipopolysaccharide; mTOR: mammalian target of rapamycin; PICRUSt: Phylogenetic Investigation of Communities by Reconstruction of Unobserved States; SCFA: short chain fatty acids; T1D: Type 1 diabetes; T2D: Type 2 diabetes; TJ: tight junction; T_regs: regulatory T cells.

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.

Medical expenditures for hypertensive disorders during pregnancy that resulted in a live birth among privately insured women

OBJECTIVE

To estimate the excess maternal health services utilization and direct maternal medical expenditures associated with hypertensive disorders during pregnancy and one year postpartum among women with private insurance in the United States.

STUDY DESIGN

We used 2008-2014 IBM MarketScan® Commercial Databases to identify women aged 15-44 who had a pregnancy resulting in live birth during 1/1/09-12/31/13 and were continuously enrolled with non-capitated or partially capitated coverage from 12 months before pregnancy through 12 months after delivery. Hypertensive disorders identified by diagnosis codes were categorized into three mutually exclusive types: preeclampsia and eclampsia, chronic hypertension, and gestational hypertension. Multivariate negative binomial and generalized linear models were used to estimate service utilization and expenditures, respectively.

MAIN OUTCOME MEASURES

Per person excess health services utilization and medical expenditures during pregnancy and one year postpartum associated with hypertensive disorders (in 2014 US dollars).

RESULTS

Women with preeclampsia and eclampsia, chronic hypertension, and gestational hypertension had $9,389, $6,041, and $2,237 higher mean medical expenditures compared to women without hypertensive disorders ($20,252), respectively (ps < 0.001). One-third (36%) of excess expenditure associated with hypertensive disorders during pregnancy was attributable to outpatient services.

CONCLUSIONS

Hypertensive disorders during pregnancy were associated with significantly higher health services utilization and medical expenditures among privately insured women with hypertensive disorders. Medical expenditures varied by types of hypertensive disorders. Stakeholders can use this information to assess the potential economic benefits of interventions that prevent these conditions or their complications.

Prevalence and medical expenditures of diabetes-related complications among adult Medicaid enrollees with diabetes in eight U.S. states

AIMS

To estimate the prevalence and medical expenditures of diabetes-related complications (DRCs) among adult Medicaid enrollees with diabetes.

METHODS

We estimated the prevalence and medical expenditures for 12 diabetes-related complications by Medicaid eligibility category (disability-based vs. non-disability-based) in eight states. We used generalized linear models with log link and gamma distribution to estimate the total per-person annual medical expenditures for DRCs, controlling for demographics, and other comorbidities.

RESULTS

Among non-disability-based enrollees (NDBEs), 40.1% (in California) to 47.5% (in Oklahoma) had one or more DRCs, compared to 53.6% (in Alabama) to 64.8% (in Florida) among disability-based enrollees (DBEs). The most prevalent complication was neuropathy (16.1%-27.1% for NDBEs; 20.2%-30.4% for DBEs). Lower extremity amputation (<1% for both eligibilities) was the least prevalent complication. The costliest per-person complication was dialysis (per-person excess annual expenditure of $22,481-$41,298 for NDBEs; $23,569-$51,470 for DBEs in 2012 USD). Combining prevalence and per-person excess expenditures, the three costliest complications were nephropathy, heart failure, and ischemic heart disease (IHD) for DBEs, compared to neuropathy, nephropathy, and IHD for NDBEs.

CONCLUSIONS

Our study provides data that can be used for assessing the health care resources needed for managing DRCs and evaluating cost-effectiveness of interventions to prevent and management DRCs.

Association between clinical outcomes and metformin use in adults with sickle cell disease and diabetes mellitus

Metformin was recently found to increase fetal hemoglobin, which is protective in sickle cell disease (SCD). We tested the hypothesis that, among adults with SCD and diabetes mellitus (DM), metformin use is associated with fewer adverse SCD clinical outcomes and lower health care utilization. This is a retrospective cohort study using the MarketScan Medicaid claims database for 2006 to 2016, comparing metformin users and nonusers. Patients on hydroxyurea, insulin, or iron chelation were excluded. Main outcomes included annual rates of all-cause inpatient encounters, all-cause emergency department (ED) encounters, inpatient and ED encounters with SCD codes, vaso-occlusive episodes (VOEs), strokes, acute chest syndrome (ACS), avascular necrosis (AVN), and gallstones. Of 457 adults (median age [interquartile range], 43 years [33-52 years]; 72% female), 142 (31%) were treated with metformin. Adjusted for age, sex, and Charlson Comorbidity Index, metformin users had significantly lower rate ratios of all-cause inpatient encounters (0.68; 95% confidence interval [CI], 0.52-0.88; P < .01), inpatient encounters with SCD codes (0.45; 95% CI, 0.30-0.66; P < .01), ED encounters with SCD codes (0.34; 95% CI, 0.21-0.54; P < .01), VOE (0.22; 95% CI, 0.12-0.41; P < .01), ACS (0.17; 95% CI, 0.05-0.60; P = .01), and AVN (0.30; 95% CI, 0.11-0.87; P = .03). A subgroup analysis of 54 enrollees preinitiation and postinitiation of metformin did not indicate significant changes in rates of clinical events. Metformin was associated with significantly fewer inpatient and ED SCD encounters in adults with SCD and DM; however, confounding of underlying SCD severity cannot be excluded.

Developing "Aryan:" Diabetes Self-care Mobile Application

Background:

Diabetes as a chronic and progressive disease leads to multiple complications. Therefore, it is important to control and treat it. More effective control of this condition and the provision of therapeutic approaches require awareness and active participation of patients in self-care. In this regard, a smartphone that is accessible to most people at anytime and anywhere and is easily applicable can be useful in self-care diabetes, with the ability to install various applications. This study aimed to develop a diabetes self-care mobile application as a suitable solution for self-managing diabetes for Iranians.

Methods:

We conducted a mixed methods study in three Phases: (1) comparative study of existing mobile applications; (2) developed its object-oriented conceptual model; and (3) developed the initial version of “Aryan” that was approved for production.

Results:

This application was designed for the appropriate diabetes self-care, with following functionalities: The user ID and his/her personal page setting; generating self-care reports such as blood glucose, nutrition, physiological indicators, physical activities, and patient history reports; care setting; providing patient training materials; nutrition control; insulin and other medications control; blood glucose and key tests control; and other paraclinical tests.

Conclusions:

“Aryan” has been designed in compliance with Iranian experts’ opinions. It is expected “Aryan” plays an effective role in self-care of patients with diabetes.

Medical Expenditures Associated With Diabetes Among Adult Medicaid Enrollees in Eight States

Introduction

Little information is available on state-specific financial burdens of diabetes in the Medicaid population, yet such information is essential for state Medicaid programs to plan diabetes care and evaluate the benefits of diabetes prevention. We estimated medical expenditures associated with diabetes among adult Medicaid enrollees in 8 states.

Methods

We analyzed the latest available 2012 CMS Medicaid claims data for 1,193,811 adult enrollees aged 19–64 years in 8 states: Alabama, California, Connecticut, Florida, Illinois, Iowa, New York, and Oklahoma. For each state, we stratified the study population by Medicaid eligibility criteria: disability and nondisability. For each group, we estimated per capita annual medical expenditures on outpatient care, inpatient care, and prescription drugs by using a 2-part model, adjusted for age, sex, race/ethnicity, and comorbidities. We calculated the expenditures associated with diabetes as the difference in predicted expenditures for enrollees with and without diabetes. Analyses were done in 2017.

Results

For disability-based enrollees, the estimated total per capita annual diabetes expenditures ranged from $6,183 in Alabama to $15,319 in New York (all P < .001). For nondisability-based enrollees, the corresponding estimates ranged from $4,985 in Alabama to $15,366 in New York (all P < .001). The proportion of individual components varied by state and eligibility criteria.

Conclusion

Medical expenditures associated with diabetes among adults on Medicaid were substantial and varied across studied states. Our estimates can be used by the 8 state Medicaid programs to prepare health care resources needed for diabetes care and assess the financial benefits of diabetes prevention programs.