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Studer CM, Linder M, Pazzagli L. A global systematic overview of socioeconomic factors associated with antidiabetic medication adherence in individuals with type 2 diabetes. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2023; 42:122. [PMID: 37936205 PMCID: PMC10631092 DOI: 10.1186/s41043-023-00459-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/21/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND Antidiabetic medication adherence is a key aspect for successful control of type 2 diabetes mellitus (T2DM). This systematic review aims to provide an overview of the associations between socioeconomic factors and antidiabetic medication adherence in individuals with T2DM. METHODS A study protocol was established using the PRISMA checklist. A primary literature search was conducted during March 2022, searching PubMed, Embase, Web of Science, as well as WorldCat and the Bielefeld Academic Search Engine. Studies were included if published between 1990 and 2022 and included individuals with T2DM. During primary screening, one reviewer screened titles and abstracts for eligibility, while in the secondary screening, two reviewers worked independently to extract the relevant data from the full-text articles. RESULTS A total of 15,128 studies were found in the primary search, and 102 were finally included in the review. Most studies found were cross-sectional (72) and many investigated multiple socioeconomic factors. Four subcategories of socioeconomic factors were identified: economic (70), social (74), ethnical/racial (19) and geographical (18). The majority of studies found an association with antidiabetic medication adherence for two specific factors, namely individuals' insurance status (10) and ethnicity or race (18). Other important factors were income and education. CONCLUSIONS A large heterogeneity between studies was observed, with many studies relying on subjective data from interviewed individuals with a potential for recall bias. Several socioeconomic groups influencing medication adherence were identified, suggesting potential areas of intervention for the improvement of diabetes treatment adherence and individuals' long-term well-being.
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Affiliation(s)
- Christian Ming Studer
- Department of Chemistry and Applied Biosciences, Institute for Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland
| | - Marie Linder
- Centre for Pharmacoepidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Laura Pazzagli
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
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Winkley K. Supporting people with type 2 diabetes who need insulin. PRACTICAL DIABETES 2022. [DOI: 10.1002/pdi.2424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Kirsty Winkley
- PhD, Reader in Diabetes & Primary Care and Diabetes Specialist Nurse for Lambeth Diabetes Intermediate Care Team. King's College London & Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, London, UK
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Lee DSU, Lee H. Adherence and persistence rates of major antidiabetic medications: a review. Diabetol Metab Syndr 2022; 14:12. [PMID: 35033161 PMCID: PMC8761325 DOI: 10.1186/s13098-022-00785-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/05/2022] [Indexed: 12/15/2022] Open
Abstract
The objective of this paper was to review the adherence and persistence rates of major antidiabetic medication classes (i.e., metformin, sulfonylureas, sodium glucose cotransporter-2 inhibitors, dipeptidyl peptidase-4 inhibitors, insulin, glucagon-like peptide-1 receptor agonists, and thiazolidinediones) by summarizing the major findings of the studies published since 2017. In addition, we reported the potential causes for low adherence and persistence of antidiabetic medications. Based on the literature, the highest rate of adherence and persistence was consistently observed in metformin users. Second to metformin were sodium glucose cotransporter-2 inhibitors. Injectable therapies such as insulin and glucagon-like peptide-1 receptor agonists trailed low on the adherence and persistence rates. To the best of our knowledge, no studies published since the year 2017 analyzed the adherence and persistence of thiazolidinediones independently. The most frequently cited cause for low adherence and persistence was the severity of adverse events. Baseline characteristics (e.g., baseline HbA1c level), demographic information (e.g., age, gender, or ethnicity), and comorbidity profiles also had significant impacts on adherence and persistence in patients with type 2 diabetes mellitus.
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Affiliation(s)
- David Seung U Lee
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea
- Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea
| | - Howard Lee
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
- Department of Applied Biomedical Engineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, 103 Daehak-ro, Jongno-gu, Seoul, 110-799, Republic of Korea.
- Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
- Advanced Institute of Convergence Technology, Suwon, 16229, South Korea.
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Sarkar S, Heyward J, Alexander GC, Kalyani RR. Trends in Insulin Types and Devices Used by Adults With Type 2 Diabetes in the United States, 2016 to 2020. JAMA Netw Open 2021; 4:e2128782. [PMID: 34636912 PMCID: PMC8511976 DOI: 10.1001/jamanetworkopen.2021.28782] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Despite rising costs and public scrutiny devoted to insulin, less is known regarding recent trends in its ambulatory use in the United States. OBJECTIVE To characterize trends in ambulatory insulin use, overall and based on insulin characteristics, among adults with type 2 diabetes in the United States from January 1, 2016, through December 31, 2020. DESIGN, SETTING, AND PARTICIPANTS This serial cross-sectional study included patients whose data were collected in IQVIA's National Disease and Therapeutic Index (NDTI), a 2-stage, all-payer, nationally representative audit of outpatient care. Approximately 4800 physicians each calendar quarter completed a form for 2 consecutive days regarding visits for each of their patients, including diagnoses, treatments, and demographic information. Data were collected from January 2016 through December 2020. EXPOSURES Ambulatory use of insulin. MAIN OUTCOMES AND MEASURES Nationally representative projections for ambulatory use of insulin (ie, treatment visits), overall and aggregated by insulin molecule (insulins regular, neutral protamine Hagedorn [NPH], lispro, glulisine, glargine, detemir, degludec, and aspart), delivery devices (vials/syringes or pens), therapeutic class (short-acting, rapid-acting, long-acting, intermediate-acting, and premixed insulin), insulin type (human, analog, and biosimilar), and date of approval (newer: before 2010; and older: after 2010). RESULTS There were 27 860 691 insulin treatment visits between 2016 and 2020. Among all patient encounters that indicated use of insulin in 2020, 1 989 154 (43.9%) were among those aged 60 to 74 years; 2 372 629 (52.4%) among men; 2 646 247 (58.4%) among White patients; 811 639 (17.9%) among Black patients; and 701 912 (15.5%) among Hispanic patients. Insulin glargine was the most frequently used insulin from 2016 to 2020, accounting for approximately half of treatment visits (eg, 2020: 2.6 of 4.9 million visits; 95% CI, 2.1-3.1 million). Among insulin classes, long-acting insulin accounted for approximately two-thirds of treatment visits during this period (eg, 2020: 3.7 million visits; 95% CI, 3.0-4.4 million). Treatment visits for insulin pens increased from 36.1% in 2016 (2.2 of 6.0 million visits; 95% CI, 1.7-2.7 million) to 58.7% in 2020 (2.9 million visits; 95% CI, 2.3-3.5 million), while use of insulin vials/syringes declined in parallel. Analog insulin use predominated and accounted for more than 80% of total treatment visits across all years (eg, 2020: 4.3 million visits; 95% CI, 3.4-5.1 million). Newer insulins were increasingly used, from 18.1% of total treatment visits in 2016 (1.1 million visits; 95% CI, 0.8-1.4 million) to 40.9% in 2020 (2.0 million visits; 95% CI, 1.5-2.5 million). The use of biosimilar insulin, which was first approved in 2015, increased from 2.6% in 2017 (0.1 of 5.3 million visits; 95% CI, 0.04-0.2 million) to 8.2% in 2020 (0.4 million visits; 95% CI, 0.2-0.6 million) of total insulin treatment visits. The total number of insulin treatment visits declined from a peak of 6.0 million visits in 2016 to a nadir of 4.9 million visits in 2020 (approximately 18% decline). CONCLUSIONS AND RELEVANCE In this study, ambulatory insulin use in the United States during the past 5 years remained dominated by the use of insulin analogs and insulin pen delivery devices, with increasing uptake of newer products as they have been brought to market.
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Affiliation(s)
- Sudipa Sarkar
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - James Heyward
- Center for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - G. Caleb Alexander
- Center for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Division of General Internal Medicine, Johns Hopkins Medicine, Baltimore, Maryland
| | - Rita R. Kalyani
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Sandig D, Grimsmann J, Reinauer C, Melmer A, Zimny S, Müller-Korbsch M, Forestier N, Zeyfang A, Bramlage P, Danne T, Meissner T, Holl RW. Continuous Glucose Monitoring in Adults with Type 1 Diabetes: Real-World Data from the German/Austrian Prospective Diabetes Follow-Up Registry. Diabetes Technol Ther 2020; 22:602-612. [PMID: 32522039 DOI: 10.1089/dia.2020.0019] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background: To analyze key indicators of metabolic control in adults with type 1 diabetes (T1D) using real-time or intermittent scanning continuous glucose monitoring (rtCGM/iscCGM) during real-life care, based on the German/Austrian/Swiss Prospective Diabetes Follow-up (DPV) registry. Methods: Cross-sectional analysis including 233 adults with T1D using CGM. We assessed CGM metrics by gender, age group (18 to <30 years vs. ≥30 years), insulin delivery method (multiple daily injections vs. continuous subcutaneous insulin infusion [CSII]) and sensor type (iscCGM vs. rtCGM), working days versus weekends, and daytime versus night-time using multivariable linear regression models (adjusted for demographic variables) or Wilcoxon signed-rank test. Results: Overall, 79/21% of T1D patients used iscCGM/rtCGM. Those aged ≥30 years spent more time in range (TIR [70-180 mg/dL] 54% vs. 49%) and hypoglycemic range <70 mg/dL (7% vs. 5%), less time in hyperglycemic range >180 mg/dL (38% vs. 46%) and had a lower glucose variability (coefficient of variation [CV] 36% vs. 37%) compared with adults aged <30 years. We found no significant differences between genders. Multivariable regression models revealed the highest Time In Range (TIR) and lowest time with sensor glucose >250 mg/dL, CV and daytime-night-time differences in those treated with CSII and rtCGM. Glucose profiles were slightly more favorable on working days. Conclusions: In our real-world data, rtCGM versus iscCGM was associated with a higher percentage of TIR and improved metabolic stability. Differences in ambulatory glucose profiles on working and weekend days may indicate lifestyle habits affecting glycemic stability. Real-life CGM results should be included in benchmarking reports in addition to hemoglobin A1c (HbA1c) and history of hypoglycemia.
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Affiliation(s)
| | - Julia Grimsmann
- Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Christina Reinauer
- Department of Pediatrics, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Andreas Melmer
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Stefan Zimny
- Department of General Internal Medicine, Endocrinology and Diabetology, Helios Clinic Schwerin, Schwerin, Germany
| | | | | | - Andrej Zeyfang
- Department of Internal Medicine, Medius-Clinic, Ostfildern-Ruit, Germany
| | - Peter Bramlage
- Institute for Pharmacology and Preventive Medicine, Cloppenburg, Germany
| | - Thomas Danne
- Diabetes Center for Children and Adolescents, Kinder-und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Thomas Meissner
- Department of Pediatrics, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Ulm, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
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Chen J, Nair R, Siadaty M, Brown K, Meah Y, Taylor AD, He X, Fan L. Treatment Patterns and Characteristics of Individuals Initiating High-Dose Insulin for Type 2 Diabetes Mellitus. J Manag Care Spec Pharm 2020; 26:839-847. [PMID: 32584684 PMCID: PMC10391183 DOI: 10.18553/jmcp.2020.26.7.839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Few studies have examined patient characteristics and treatment patterns of high-dose insulin therapy (> 200 units/day) among patients with type 2 diabetes mellitus (T2DM). OBJECTIVE To understand patient characteristics, dosing, adherence, and persistence related to high-dose insulin therapy. METHODS This was a retrospective observational study that used administrative claims from a large national health plan. Patients were identified who had been diagnosed with T2DM and who were aged 18-89 years, enrolled in a commercial or Medicare Advantage Prescription Drug plan, newly initiated on a total daily dose (TDD) > 200 units of insulin between January 2011 and August 2015. Patients were required to be enrolled 6 months before and 12 months after the index date. Patients were categorized to Regimen-100 if treated with U-100 insulin only or Regimen-500 if treated with U-500R with or without U-100. Baseline demographic and clinical characteristics were evaluated. An adjustment factor for the days supply was calculated as the ratio of median time between insulin claims, and median pharmacy reported days supply for each insulin prescription. Adjusted days supply, quantity, and concentration were used to calculate TDD for each quarter after the index date. Adherence was measured as the proportion of days covered (PDC) for each regimen. Persistence was measured in 2 ways: the percentage of patients remaining on index medications in each quarter and the proportion of patients who maintained TDD > 200 units during all 4 quarters of the 12-month post-index period. RESULTS We identified 2,339 patients newly titrated up to TDD > 200 units on either Regimen-100 (2,062, 88.2%) or Regimen-500 (277, 11.8%). Patients on Regimen-500 were slightly younger with higher prevalence of comorbidities. The mean TDD (SD) for Regimen-100 decreased from 228.6 (36.0) units during the first quarter to 194.2 (181.4) units during the last quarter. The mean TDD (SD) for Regimen-500 increased from 294.2 (102.2) units in the first quarter to 304.8 (281.6) units in last quarter. The average adherence to the high-dose insulin regimen was 68.2% (30.7; median 72.6%) for the Regimen-100 cohort and 75.5% (27.0; median 85.2%) for the Regimen-500 cohort. In the Regimen-100 and Regimen-500 cohorts, 45.3% and 55.2% had a PDC ≥ 80%, respectively. Only 23.0% and 51.6% of patients maintained TDD > 200 units for the Regimen-100 and Regimen-500 cohorts, respectively, throughout the 4 quarters after the index date. CONCLUSIONS We observed that many patients did not maintain high-dose insulin use over time, especially those on standard U-100 insulin only. This dosing pattern appears to reflect the differences in patient characteristics, insulin needs, and adherence/persistence behavior between those on Regimen-100 and those on Regimen-500. DISCLOSURES This study was supported by funding from Eli Lilly and Company to Humana as a collaborative research project involving employees of both companies. Chen, Brown, Fan, Taylor, and He are employees of Eli Lilly and Company. Nair and Meah are employees of Humana, which received funding to complete this research. Siadaty was an employee of Humana at the time of this study.
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Affiliation(s)
| | - Radhika Nair
- Humana Healthcare Research, Louisville, Kentucky
| | - Mir Siadaty
- Humana Healthcare Research, Louisville, Kentucky
| | | | | | | | - Xuanyao He
- Eli Lilly and Company, Indianapolis, Indiana
| | - Ludi Fan
- Eli Lilly and Company, Indianapolis, Indiana
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Edelman SV, Ermakova A, Xiong Y, Sieradzan R, Taylor SD. Persistence with Basal-Bolus Insulin Therapy in Patients with Type 2 Diabetes Mellitus and Effect on Clinical and Economic Outcomes: A Retrospective Claims Database Study. J Manag Care Spec Pharm 2019; 25:1420-1431. [PMID: 31550190 PMCID: PMC10398325 DOI: 10.18553/jmcp.2019.19097] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Persistence with multiple daily insulin injections (MDI) may be challenging for patients with type 2 diabetes (T2DM). However, limited information is available regarding the effect of persistence with MDI on outcomes. OBJECTIVE To evaluate persistence with basal and bolus insulin therapy and assess its relationship with clinical and economic outcomes in a real-world setting. METHODS This retrospective matched cohort study used 2012-2015 data from multiple U.S. commercial health plans (IBM MarketScan). Patients with T2DM aged 18-64 years with ≥ 2 basal and ≥ 2 bolus insulin claims during a 12-month period were eligible for inclusion if they had 18 months of continuous health plan enrollment (6-month baseline and 12-month post-index). Persistence during 12 months post-index was defined using 2 methods: (a) method 1, ≤ 90-day gaps in both basal and bolus insulin claims and (b) method 2, ≥ 1 basal and ≥ 1 bolus insulin claim every quarter (every 90 days) for 4 consecutive quarters after index bolus claim. Propensity score matching was used to match persistent and nonpersistent method 2 cohorts. Mean per-patient all-cause and diabetes-related medical costs (2015 U.S. dollars, excluding outpatient drugs) and health care resource use (HCRU) were calculated. For patients with hemoglobin A1c (A1c) values during baseline and post-index months 10-12, treatment success was defined as (a) A1c decrease from baseline of ≥ 1% and/or (b) baseline A1c ≥ 7% with post-index A1c < 7%. Baseline characteristics of matched cohorts were compared using standardized mean differences (SMDs). Outcome variables were compared using t-tests, chi-square tests, and generalized linear models. RESULTS Characteristics of 12,882 eligible patients and 12-month persistence rates were similar as defined by method 1 (22.4%) and method 2 (21.1%). After matching, the method 2 cohorts included 2,723 and 8,169 persistent and nonpersistent patients, respectively, with well-balanced baseline characteristics (mean age 53 years; 58% men; all SMDs < 0.1). All-cause annual medical costs were lower for the persistent cohort (mean $13,499 vs. $17,362; P < 0.0001), as were annual diabetes-related costs (mean $6,392 vs. $8,376; P < 0.0001). In persistent versus nonpersistent cohorts, 11% versus 15% of patients, respectively, experienced ≥ 1 hospitalization; 21% versus 24%, respectively, had ≥ 1 ED visit; 9% versus 12%, respectively, experienced ≥ 1 diabetes-related hospitalization; and 13% versus 15%, respectively, had ≥ 1 diabetes-related ED visit (P ≤ 0.005 for all). Mean baseline A1c was similar in persistent and nonpersistent cohorts (9.7% vs. 9.6%, respectively; P = 0.63). Persistence with MDI was associated with greater mean reduction in A1c (-1.3% vs. -0.8%, respectively; P = 0.006) and greater percentages of patients achieving treatment success (55% vs. 39%, respectively, for nonpersistent; P = 0.009). CONCLUSIONS Poor persistence with basal-bolus insulin therapy over 12 months of follow-up was prevalent and was associated with greater medical costs, greater HCRU, and poorer glycemic control than for patients who were persistent. Interventions are needed to improve persistence with insulin therapy and aid patients with T2DM to achieve glycemic control. DISCLOSURES Funding for this study was provided by Becton, Dickinson and Company (BD). All authors except Edelman are employees and stockholders of BD. Edelman reports board membership at Senseonics and participation in advisory board/speakers bureau at Lilly USA, MannKind, Novo Nordisk, Sanofi-Aventis U.S., Merck, and AstraZeneca, all unrelated to this study. A poster for this study was presented at the AMCP Managed Care & Specialty Pharmacy Annual Meeting 2018; April 23-26, 2018; Boston MA.
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Affiliation(s)
- Steven V Edelman
- Division of Endocrinology and Metabolism, University of California School of Medicine, San Diego; Veterans Affairs Medical Center, San Diego, California; and Taking Control of Your Diabetes, Del Mar, California
| | | | - Yan Xiong
- Becton, Dickinson and Co., Franklin Lakes, New Jersey
| | - Ray Sieradzan
- Becton, Dickinson and Co., Franklin Lakes, New Jersey
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Tibaldi J, Hadley-Brown M, Liebl A, Haldrup S, Sandberg V, Wolden ML, Rodbard HW. A comparative effectiveness study of degludec and insulin glargine 300 U/mL in insulin-naïve patients with type 2 diabetes. Diabetes Obes Metab 2019; 21:1001-1009. [PMID: 30552800 PMCID: PMC6590449 DOI: 10.1111/dom.13616] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 12/06/2018] [Accepted: 12/13/2018] [Indexed: 12/16/2022]
Abstract
AIMS To compare the real-world effectiveness of insulin degludec (degludec) and glargine 300 units/mL (glargine U300) in insulin-naïve adult patients with type 2 diabetes in routine US clinical practice. MATERIALS AND METHODS CONFIRM is a non-interventional comparative effectiveness study following US patients across the continuum of care, through electronic medical records from multiple health systems and integrated delivery networks. Propensity-score matching controlled for confounding. The primary endpoint, change in HbA1c from baseline to 180 days of follow-up, was estimated using a repeated-measure of covariance analysis with subject as random effect. Change in the rate of hypoglycaemic episodes (defined using International Classification of Diseases codes 9/10) and change in proportion of patients with hypoglycaemia were estimated using negative binomial and logistic regression, respectively. Time-to-discontinuation of the initial basal insulin/initiation with another prescribed basal insulin was analysed using a Cox Proportional Hazard model. RESULTS Data concerning 4056 patients were analysed. After matching, baseline characteristics were comparable (n = 2028 in each group). After 180 days of follow-up, degludec was associated with a larger reduction in HbA1c (estimated treatment difference, -0.27%; P = 0.03), greater reductions in change in rate (rate ratio, 0.70; P < 0.05) and greater reductions in change in the likelihood of hypoglycaemia (odds ratio, 0.64; P < 0.01]) compared with glargine U300. In addition, patients treated with degludec were 27% less likely to discontinue treatment at follow-up compared with those treated with glargine U300 (hazard ratio, 0.73; P < 0.001). CONCLUSIONS Significantly improved HbA1c, larger reductions in rates and likelihood of hypoglycaemia and lower risk of treatment discontinuation were demonstrated with degludec vs glargine U300.
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Affiliation(s)
- Joseph Tibaldi
- Fresh Meadows Diabetes and Endocrinology, New York, New York
| | | | - Andreas Liebl
- Centre for Diabetes and Metabolism, Fachklinik Bad Heilbrunn, Bad Heilbrunn, Germany
| | | | | | | | - Helena W Rodbard
- Clinical Research, Endocrine and Metabolic Consultants, Rockville, Maryland
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Goldman JD, Gill J, Horn T, Reid T, Strong J, Polonsky WH. Improved Treatment Engagement Among Patients with Diabetes Treated with Insulin Glargine 300 U/mL Who Participated in the COACH Support Program. Diabetes Ther 2018; 9:2143-2153. [PMID: 30218432 PMCID: PMC6167296 DOI: 10.1007/s13300-018-0501-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Persistence with basal insulin therapy can be suboptimal, despite recent improvements in insulin formulations and delivery systems. Patient support programs may help increase adherence. This study evaluated the impact of the Toujeo® COACH support program, which provides patients with continuing and individualized education and advice on lifestyle changes, by assessing its effect on number of refills and days on therapy. METHODS The study population included 1724 patients with diabetes who filled a first prescription for insulin glargine 300 U/mL (Gla-300) between April and December 2015 and received a welcome call from a Guide, and 1724 matched control patients from the Symphony Health Integrated Dataverse® prescription claims database. Control patients received Gla-300 but did not enroll in the program. These patients were matched based on age, gender, location, prior use of insulin, insulin dose, number of concomitant drugs, and copay tier. RESULTS The COACH and control groups comprised 52% men and 48% women; 22% were aged 18-47 years, 23% were 48-55 years, 27% 56-61 years, and 28% ≥ 62 years. Most (99%) had used insulin in the year before receiving the welcome call. At 6 months, patients in the COACH group had refilled their prescription 3.2 times on average, compared with 2.4 times for control patients (P < 0.0001); at 9 months, the average number of refills was 4.7 and 3.6, respectively (P < 0.0001). The average number of days on therapy at 6 months was 102.2 days in the COACH group and 81.5 days in the control group (P < 0.0001); at 9 months, the average number of days on therapy was 151.9 and 121.6, respectively (P < 0.0001). CONCLUSION Patients in the COACH program were significantly more likely to refill their prescriptions and stay on therapy. Patient support programs such as the COACH program could be an effective way to help improve diabetes care. FUNDING Sanofi US, Inc. and McKesson Corporation.
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Affiliation(s)
| | | | - Tony Horn
- Symphony Health, LLC, Phoenix, AZ, USA
| | - Timothy Reid
- Mercyhealth Diabetes Center, Janesville, WI, USA
| | - Jodi Strong
- Ministry Medical Group, Stevens Point, WI, USA
| | - William H Polonsky
- Behavioral Diabetes Institute, San Diego, CA, USA
- University of California San Diego, San Diego, CA, USA
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Zhou FL, Yeaw J, Karkare SU, DeKoven M, Berhanu P, Reid T. Impact of a structured patient support program on adherence and persistence in basal insulin therapy for type 2 diabetes. BMJ Open Diabetes Res Care 2018; 6:e000593. [PMID: 30622720 PMCID: PMC6307592 DOI: 10.1136/bmjdrc-2018-000593] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 11/06/2018] [Accepted: 11/27/2018] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVE Treatment adherence and persistence are essential to achieving therapeutic goals in diabetes and may be improved by patient support programs (PSPs). The COACH Program was launched in 2015 with the goal of supporting patients with diabetes who are prescribed insulin glargine 300 U/mL (Gla-300). The study objective was to assess the program's impact on persistence and adherence with therapy among patients with type 2 diabetes. RESEARCH DESIGN AND METHODS A retrospective 12-month analysis was conducted to compare treatment adherence and persistence in patients treated with Gla-300 who actively participated in the COACH PSP versus those who did not enroll using COACH engagement and claims data for the identification period from February 1, 2016 to July 31, 2016. COACH (n=544) and non-COACH (n=544) participants were matched on selected baseline characteristics. RESULTS COACH participants were more likely to be adherent to (68.0% vs 61.4%, p= 0.0201; OR: 1.81, p=0.0002) and persistent (48.5% vs 42.1%, p= 0.0309; discontinuation HR: 0.60, p<0.0001) with Gla-300 than non-COACH patients during the 12-month follow-up after controlling for clinical confounders. Additionally, both insulin-naive and basal insulin switcher COACH participants, respectively, were more likely to be adherent (OR: 2.25, p=0.0082 and OR: 1.662, p=0.0364) and persistent (discontinuation HR: 0.53, p=0.0054 and HR: 0.67, p=0.0492) than non-COACH patients. Finally, COACH participants with greater level of engagement showed better persistence. CONCLUSION These data demonstrate that participation and engagement with COACH PSPs are associated with improved persistence and adherence to Gla-300 among patients with type 2 diabetes.
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