Sarah E Curtis

Evaluating preferences for profiles of GLP-1 receptor agonists among injection-naïve type 2 diabetes patients in the UK

Objective To use a discrete choice experiment (DCE) to evaluate preferences for the actual treatment features and overall profiles of two injectable glucagon-like peptide-1 receptor agonists (dulaglutide and liraglutide) among patients with type 2 diabetes mellitus (T2DM) in the UK. Methods In-person interviews were conducted in the UK to administer a DCE to patients with self-reported T2DM, naïve to treatment with injectable medications. The DCE examined six attributes of T2DM treatment each described by two levels: “dosing frequency,” “hemoglobin A1c change,” “weight change,” “type of delivery system,” “frequency of nausea,” and “frequency of hypoglycemia.” Part-worth utilities were estimated using random effects logit models and were used to calculate relative importance (RI) values for each attribute. A chi-square test was used to determine differences in preferences for dulaglutide versus liraglutide profiles. Results A total of 243 participants [mean age: 60.5 (standard deviation 10.9) years; 76.1% male; mean body mass index: 29.8 (standard deviation 5.4) kg/m2] completed the study. RI values for the attributes in rank order were: “dosing frequency” (41.6%), “type of delivery system” (35.5%), “frequency of nausea” (10.4%), “weight change” (5.9%), “hemoglobin A1c change” (3.6%), and “frequency of hypoglycemia” (3.0%). Significantly more participants preferred the dulaglutide profile (83.1%) compared with the liraglutide profile (16.9%; P<0.0001). Conclusion This study elicited patients’ preferences for attributes and levels representing the actual characteristics of two specific glucagon-like peptide-1 medications. In this context, dosing frequency and type of delivery system were most important, accounting for over 75% of the RI. While previous studies have identified efficacy as highly important in T2DM medication decisions, this study suggests that when differences in efficacy between medications are small, other treatment features (eg, dosing frequency and delivery system) are of much greater importance to patients.

Associations between adherence and outcomes among older, type 2 diabetes patients: evidence from a Medicare Supplemental database.

Objective To examine the association between adherence to glucose-lowering agents and patient outcomes, including costs, acute-care resource utilization, and complications, in an older, type 2 diabetic population. Data and methods The study used Truven’s Medicare Supplemental database from July 1, 2009 to June 30, 2014. Patients aged 65 years or older were included if they had at least two type 2 diabetes diagnoses and received a glucose-lowering agent from July 1, 2010 through June 30, 2011. Multivariable analyses examined the relationships among 3-year patient outcomes and levels of adherence, proxied by the proportion of days covered. Outcomes included all-cause medical costs, diabetes-related medical costs, acute-care resource utilization, and acute complications. Results In this study (N=123,235), higher adherence was linked to reduced costs and improved health outcomes. For example, comparing an individual with adherence of proportion of days covered <20% to one with proportion of days covered ≥80% illustrates an average saving of

Preference for pharmaceutical formulation and treatment process attributes.

28,824 in total 3-year costs. Furthermore, a 1% increase in adherence among 1,000 patients was associated with all-cause savings of

A model of mild hypoglycemia

65,464 over 3 years. The probability of a hospitalization, an emergency room (ER) visit, or an acute complication decreased monotonically as adherence levels got higher, as did the number of hospitalizations, ER visits, and days hospitalized (P<0.005). Conclusion Higher adherence was associated with substantially less need for acute care, as indicated by a lowered probability of hospitalization or ER use, a reduced risk of an acute complication, and a decreased number of hospitalizations, ER visits, and days hospitalized. Higher adherence was also generally associated with lower all-cause and diabetes-related total costs, despite higher drug costs. These lower total costs were driven by the diminished acute care and outpatient costs. Results suggest that higher glucose-lowering agent adherence is associated with significant benefits for payers and older patients with type 2 diabetes.

Physician perceptions of GLP-1 receptor agonists in the UK.

Purpose Pharmaceutical formulation and treatment process attributes, such as dose frequency and route of administration, can have an impact on quality of life, treatment adherence, and disease outcomes. The aim of this literature review was to examine studies on preferences for pharmaceutical treatment process attributes, focusing on research in diabetes, oncology, osteoporosis, and autoimmune disorders. Methods The literature search focused on identifying studies reporting preferences for attributes of the pharmaceutical treatment process. Studies were required to use formal quantitative preference assessment methods, such as utility valuation, conjoint analysis, or contingent valuation. Searches were conducted using Medline, EMBASE, Cochrane Library, Health Economic Evaluation Database, and National Health Service Economic Evaluation Database (January 1993–October 2013). Results A total of 42 studies met inclusion criteria: 19 diabetes, nine oncology, five osteoporosis, and nine autoimmune. Across these conditions, treatments associated with shorter treatment duration, less frequent administration, greater flexibility, and less invasive routes of administration were preferred over more burdensome or complex treatments. While efficacy and safety often had greater relative importance than treatment process, treatment process also had a quantifiable impact on preference. In some instances, particularly in diabetes and autoimmune disorders, treatment process attributes had greater relative importance than some or all efficacy and safety attributes. Some studies suggested that relative importance of treatment process depends on disease (eg, acute vs chronic) and patient (eg, injection experience) characteristics. Conclusion Despite heterogeneity in study methods and design, some general patterns of preference clearly emerged. Overall, the results of this review suggest that treatment process has a quantifiable impact on preference and willingness to pay for treatment, even in many situations where safety and efficacy were the primary concerns. Patient preferences for treatment process attributes can inform drug development decisions to better meet the needs of patients and deliver improved outcomes.

Evaluation of a patient self-directed mealtime insulin titration algorithm: a US payer perspective

Abstract Objective: To investigate the impact associated with mild hypoglycemia among patients with type 2 diabetes (T2DM) in the United States and to identify risk factors among different subpopulations. Methods: We performed a literature search to gather available data allowing estimation of rates of mild hypoglycemia. Because risk factors are interdependent, risk factors included in the model were based on those reported within multivariate analyses or judged to be biologically plausible by the medical community. Based on literature search results, we built a mathematical model predicting the rates of mild hypoglycemia in individual patients as a function of the patient’s antidiabetic medications, hemoglobin A1c levels, duration of diabetes, kidney function, and body mass index. Results: We estimated an overall average rate of mild hypoglycemia among US patients with T2DM of 2.2 ± 0.8 events per person per year. Patients taking oral antidiabetic medications only had an average rate of 1.9 ± 0.8 events per person per year. The average rate for all patients taking insulin, including those combining it with other antidiabetic medications, was 4.9 ± 2.0 events per person per year. Mild hypoglycemia rates increased with age, with 80-year-old patients experiencing 1.5 times the risk of 40-year-old patients. Based on published values for direct and indirect medical costs for mild hypoglycemia events, we determined that the economic impact in the US of mild hypoglycemic events is approximately

A literature review on the representativeness of randomized controlled trial samples and implications for the external validity of trial results

900 million per year, roughly equal to that of severe hypoglycemic events. One of the key limitations to our model is that it applies to the US population under standard medical care and not to clinical trials and does not include certain known risk factors such as rigorous exercise. Conclusions: Understanding the benefit versus risk of glycemic control and hypoglycemia is fundamental to the successful management of patients with T2DM. Our validated hypoglycemia model is an important step in addressing this issue and may be helpful to researchers, clinicians, and payers to determine the patients who are at the highest risk for hypoglycemia, whether a patient is experiencing events at ‘higher-than-expected’ rates, and the corresponding economic burden.

Evaluating Diabetes Patients' Preferences for Profiles of Glp-1 Treatments In The United Kingdom: A Discrete Choice Experiment.

Abstract Objectives Glucagon-like peptide-1 (GLP-1) receptor agonists have been used to treat type 2 diabetes for almost a decade, and new treatments in this class have recently been introduced. The purpose of this study was to examine perceptions of GLP-1 receptor agonists among physicians who treat patients with type 2 diabetes in the UK. Methods A total of 670 physicians (226 diabetes specialists; 444 general practice [GP] physicians) completed a survey in 2014. Results Almost all physicians had prescribed GLP-1 receptor agonists (95.4% total sample; 99.1% specialists; 93.5% GP), most frequently to patients whose glucose levels are not adequately controlled with oral medications (85.9% of physicians) and obese/overweight patients (83.7%). Physicians’ most common reasons for prescribing a GLP-1 receptor agonist were: associated with weight loss (65.8%), good efficacy (55.7%), less hypoglycemia risk than insulin (55.2%), not associated with weight gain (34.5%), and better efficacy than oral medications (32.7%). Factors that most commonly cause hesitation when prescribing this class were: not considered first line therapy according to guidelines (56.9%), injectable administration (44.6%), cost (36.7%), gastrointestinal side effects (33.4%), and risk of pancreatitis (26.7%). Almost all specialists (99.1%) believed they had sufficient knowledge to prescribe a GLP-1 receptor agonist, compared with 76.1% of GPs. Conclusions Results highlight the widespread use of GLP-1 receptor agonists for treatment of type 2 diabetes in the UK. However, almost a quarter of GPs reported that they do not have enough knowledge to prescribe GLP-1s, suggesting a need for increased dissemination of information to targeted groups of physicians. Study limitations were that the generalizability of the clinician sample is unknown; survey questions required clinicians to select answers from multiple response options rather than generating the responses themselves; and responses to this survey conducted in 2014 do not reflect perceptions of the most recently introduced GLP-1 receptor agonists.

A scoping literature review on the external validity of randomized controlled trial populations

Abstract Objective To model the potential economic impact of implementing the AUTONOMY once daily (Q1D) patient self-titration mealtime insulin dosing algorithm vs standard of care (SOC) among a population of patients with Type 2 diabetes living in the US. Methods Three validated models were used in this analysis: The Treatment Transitions Model (TTM) was used to generate the primary results, while both the Archimedes (AM) and IMS Core Diabetes Models (IMS) were used to test the veracity of the primary results produced by TTM. Models used data from a ‘real world’ representative sample of patients (2012 US National Health and Nutrition Examination Survey) that matched the characteristics of US patients enrolled in the randomized controlled trial ‘AUTONOMY’ cohort. The base-case time horizon was 10 years. Results The modeling results from TTM demonstrated that total costs in the base-case were reduced by

Physician Visits and Antidiabetic Medication Use among Adolescents with Type 2 Diabetes with Commercial Insurance or Medicaid

1732, with savings predicted to occur as early as year 1. Results from the three models were consistent, showing a reduction in total costs for all sensitivity analyses. Limitations Data from short-term clinical trials were used to develop long-term projections. The nature of such extrapolation leads to increased uncertainty. Conclusion The results from all three models indicate that the AUTONOMY Q1D algorithm has the potential to abate total costs as early as the first year.