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      Effect of CGM Access Expansion on Uptake Among Patients on Medicaid With Diabetes

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          Abstract

          OBJECTIVE

          Current studies on continuous glucose monitor (CGM) uptake are revealing for significant barriers and inequities for CGM use among patients from socially underprivileged communities. This study explores the effect of full subsidies regardless of diabetes type on CGM uptake and HbA 1c outcomes in a U.S. adult patient population on Medicaid.

          RESEARCH DESIGN AND METHODS

          This retrospective cohort study examined 3,036 adults with diabetes enrolled in a U.S. Medicaid program that fully subsidized CGM. CGM uptake and adherence were assessed by CGM prescription and dispense data, including more than one fill and adherence by medication possession ratio (MPR). Multivariate logistic regression evaluated predictors of CGM uptake. Pre- and post-CGM use HbA 1c were compared.

          RESULTS

          CGM were very well received by both individuals with type 1 diabetes and individuals with type 2 diabetes with similar high fill adherence levels (mean MPR 0.78 vs. 0.72; P = 0.06). No significant difference in CGM uptake outcomes were noted among major racial/ethnic groups. CGM use was associated with improved HbA 1c among those with type 2 diabetes (−1.2% [13.1 mmol/mol]; P < 0.001) that was comparable between major racial/ethnic groups and those with higher fill adherence achieved greater HbA 1c reduction (−1.4% [15.3 mmol/mol]; P < 0.001) compared with those with lower adherence (−1.0% [10.9 mmol/mol]; P < 0.001).

          CONCLUSIONS

          CGM uptake disparities can largely be overcome by eliminating CGM cost barriers. CGM use was associated with improved HbA 1c across all major racial/ethnic groups, highlighting broad CGM appeal, utilization, and effectiveness across an underprivileged patient population.

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          Most cited references19

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          Continuous Glucose Monitoring Versus Usual Care in Patients With Type 2 Diabetes Receiving Multiple Daily Insulin Injections

          Continuous glucose monitoring (CGM), which studies have shown is beneficial for adults with type 1 diabetes, has not been well-evaluated in those with type 2 diabetes receiving insulin.
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            A Decade of Disparities in Diabetes Technology Use and HbA 1c in Pediatric Type 1 Diabetes: A Transatlantic Comparison

            OBJECTIVE As diabetes technology use in youth increases worldwide, inequalities in access may exacerbate disparities in hemoglobin A 1c (HbA 1c ). We hypothesized that an increasing gap in diabetes technology use by socioeconomic status (SES) would be associated with increased HbA 1c disparities. RESEARCH DESIGN AND METHODS Participants aged <18 years with diabetes duration ≥1 year in the Type 1 Diabetes Exchange (T1DX, U.S., n = 16,457) and Diabetes Prospective Follow-up (DPV, Germany, n = 39,836) registries were categorized into lowest (Q1) to highest (Q5) SES quintiles. Multiple regression analyses compared the relationship of SES quintiles with diabetes technology use and HbA 1c from 2010–2012 to 2016–2018. RESULTS HbA 1c was higher in participants with lower SES (in 2010–2012 and 2016–2018, respectively: 8.0% and 7.8% in Q1 and 7.6% and 7.5% in Q5 for DPV; 9.0% and 9.3% in Q1 and 7.8% and 8.0% in Q5 for T1DX). For DPV, the association between SES and HbA 1c did not change between the two time periods, whereas for T1DX, disparities in HbA 1c by SES increased significantly ( P < 0.001). After adjusting for technology use, results for DPV did not change, whereas the increase in T1DX was no longer significant. CONCLUSIONS Although causal conclusions cannot be drawn, diabetes technology use is lowest and HbA 1c is highest in those of the lowest SES quintile in the T1DX, and this difference for HbA 1c broadened in the past decade. Associations of SES with technology use and HbA 1c were weaker in the DPV registry.
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              American Association of Clinical Endocrinology Clinical Practice Guideline: The Use of Advanced Technology in the Management of Persons With Diabetes Mellitus

              To provide evidence-based recommendations regarding the use of advanced technology in the management of persons with diabetes mellitus to clinicians, diabetes-care teams, health care professionals, and other stakeholders.
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                Author and article information

                Journal
                Diabetes Care
                Diabetes Care
                diabetes care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                February 2023
                8 December 2022
                8 December 2022
                : 46
                : 2
                : 391-398
                Affiliations
                [1 ]Medicine Service–Endocrinology, Denver Health, Denver, CO
                [2 ]Department of Medicine, University of Colorado, Aurora, CO
                Author notes
                Corresponding author: Rocio I. Pereira, rocio.pereira@ 123456dhha.org
                Author information
                https://orcid.org/0000-0003-3471-0820
                Article
                221287
                10.2337/dc22-1287
                9887615
                36480729
                ac59a173-fb05-4197-aafd-7ea8c35a4e0d
                © 2023 by the American Diabetes Association

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/journals/pages/license.

                History
                : 30 June 2022
                : 07 November 2022
                Funding
                Funded by: NIH/NHLBI, USA;
                Award ID: 1F30HL136169-03
                Funded by: Robert Wood Johnson Foundation, DOI 10.13039/100000867;
                Award ID: 77887
                Funded by: Denver Health DOM AEF;
                Award ID: 40150831
                Categories
                Emerging Technologies: Data Systems and Devices

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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