Assessment of yield gaps on global grazed-only permanent pasture using climate binning

To meet rising demands for agricultural products, existing agricultural lands must either produce more or expand in area. Yield gaps (YGs)-the difference between current and potential yield of agricultural systems-indicate the ability to increase output while holding land area constant. Here, we assess YGs in global grazed-only permanent pasture lands using a climate binning approach. We create a snapshot of circa 2000 empirical yields for meat and milk production from cattle, sheep, and goats by sorting pastures into climate bins defined by total annual precipitation and growing degree-days. We then estimate YGs from intra-bin yield comparisons. We evaluate YG patterns across three FAO definitions of grazed livestock agroecosystems (arid, humid, and temperate), and groups of animal production systems that vary in animal types and animal products. For all subcategories of grazed-only permanent pasture assessed, we find potential to increase productivity several-fold over current levels. However, because productivity of grazed pasture systems is generally low, even large relative increases in yield translated to small absolute gains in global protein production. In our dataset, milk-focused production systems were found to be seven times as productive as meat-focused production systems regardless of animal type, while cattle were four times as productive as sheep and goats regardless of animal output type. Sustainable intensification of pasture is most promising for local development, where large relative increases in production can substantially increase incomes or "spare" large amounts of land for other uses. Our results motivate the need for further studies to target agroecological and economic limitations on productivity to improve YG estimates and identify sustainable pathways toward intensification.

An Evaluation of the Clinical and Economic Burden Among Older Adult Medicare-Covered Beneficiaries With Treatment-Resistant Depression

OBJECTIVE

To compare the clinical and economic burden of treatment-resistant depression (TRD) among older adult patients with major depressive disorder (MDD) to non-TRD MDD and non-MDD patients.

METHODS

Retrospective cohort study using 5% Medicare data (January 1, 2012-December 31, 2015) for MDD patients aged ≥65 years who were defined as TRD if they received ≥2 antidepressant treatments in the current episode. MDD patients not meeting TRD criteria were deemed non-TRD MDD; those without an MDD diagnosis were categorized as non-MDD. All were required to have continuous health plan enrollment for ≥6 months pre- and ≥12 months postindex date (index: first antidepressant claim/random [non-MDD]). Three cohorts were matched, and generalized linear and Cox proportional hazards models were used to compare medication use, healthcare resource utilization, costs, and risks of initial hospitalization and readmission ≤30 days postdischarge from initial hospitalization.

RESULTS

After matching, 178 patients from each cohort were analyzed. During 12 months of follow-up, TRD patients had higher use of different antidepressants and antipsychotics, higher inpatient and emergency room visits, longer inpatient stays, and higher total healthcare costs ($24,543 versus $16,059, $8,058) than non-TRD MDD and non-MDD cohorts, respectively (all p <0.05). Risk of initial hospitalization was higher in the TRD (hazard ratio [HR] = 3.60, 95% confidence interval [CI] = 2.08-6.23) and non-TRD MDD cohorts (HR = 1.82, 95% CI = 1.02-3.25) than the non-MDD cohort.

CONCLUSIONS

The burden of MDD among older adult Medicare beneficiaries is substantial, and even greater among those with TRD compared to non-TRD MDD, demonstrating the need for more effective treatments than those currently available.

US Integrated Delivery Networks Perspective on Economic Burden of Patients with Treatment-Resistant Depression: A Retrospective Matched-Cohort Study

OBJECTIVE

Our objective was to assess healthcare resource utilization (HRU) and costs among patients with major depressive disorder (MDD) with and without treatment-resistant depression (TRD) and those without MDD in US Integrated Delivery Networks (IDNs).

METHODS

This was a retrospective matched-cohort study. The Optum© Integrated Claims Electronic Health Record de-identified database was used to identify adult patients with TRD (January 2011-June 2017) across US IDNs. TRD patients were propensity score matched 1:1 with non-TRD MDD and non-MDD patients on demographics. Rates of HRU and costs were compared up to 2 years following the first antidepressant pharmacy claim (or randomly imputed date for non-MDD patients) using negative binomial and ordinary least squares regressions, respectively, with 95% confidence intervals (CIs) from nonparametric bootstraps (costs only) adjusted for baseline comorbidity index and costs.

RESULTS

All 1582 TRD patients were matched to non-TRD MDD and non-MDD patients and evaluated. TRD patients were on average 46 years old, and 67% were female. Mean duration of observation was 20.1, 19.6, and 17.9 months in the TRD, non-TRD MDD, and non-MDD cohorts, respectively. Patients with TRD had significantly higher rates of HRU than did non-TRD MDD patients (inpatient visits 0.35 vs. 0.16 per patient per year [PPPY]; adjusted incidence rate ratio [IRR] 2.04 [95% CI 1.74-2.39]) and non-MDD patients (0.35 vs. 0.09 PPPY, adjusted IRR 3.05 [95% CI 2.54-3.66]). TRD patients incurred significantly higher costs PPPY than did non-TRD MDD patients ($US25,807 vs. 13,701, adjusted cost difference $US9479 [95% CI 7071-11,621]) and non-MDD patients ($US25,807 vs. 8500, adjusted cost difference $US11,433 [95% CI 8668-13,876]).

CONCLUSIONS

HRU and costs associated with TRD are significant in US IDNs.

Descriptive analysis of the economic burden of treatment resistance in a major depressive episode

Objectives: To assess characteristics and healthcare costs associated with pharmacologically treated episodes of treatment-resistant depression (TRD) in patients with major depressive disorder (MDD).Methods: Patients aged ≥18 years with continuous health plan enrollment for ≥12 months before and after a newly observed MDD diagnosis (observed between 1 January 2010 and 31 December 2015) were included in this retrospective claims-based analysis. A pharmacologically treated episode was defined as beginning at the date of the first MDD diagnosis and ending when a gap of 180 days occurred between MDD diagnoses, or when a gap of 180 days occurred following the end of the antidepressant (AD)/antipsychotic (AP) drug supply. When such a gap occurred, the episode end date was determined to be either the date of the last MDD diagnosis or date of the end of AD/AP drug supply, whichever was later. An episode was considered TRD if ≥3 AD regimens occurred. Episode duration, medication regimens used, and relapse hospitalization were reported for TRD and non-TRD MDD episodes. Total all-cause and per-patient-per-month (PPPM) healthcare costs (in 2016 $) were estimated.Results: Of 48,440 patients identified with ≥1 AD-treated MDD episode, the mean (SD) age was 39 (15) years, and 62% were female. Of all episodes, 7% were TRD, with a mean duration of 571 (285) days vs. 200 (198) days for non-TRD MDD episodes. Mean total all-cause costs were $19,626 ($44,160) for TRD and $7440 ($25,150) for non-TRD MDD episodes.Conclusions: Results show TRD episodes are longer and costlier than non-TRD MDD episodes, and that higher costs are driven by episode duration. Longer episodes imply protracted suffering for patients with TRD and increased burden on caregivers. Effective intervention to shorten TRD episodes may lessen disease burden and reduce costs.

Burden of treatment-resistant depression in Medicare: A retrospective claims database analysis

Background

Previous studies have assessed the incremental economic burden of treatment-resistant depression (TRD) versus non-treatment-resistant major depressive disorder (i.e., non-TRD MDD) in commercially-insured and Medicaid-insured patients, but none have focused on Medicare-insured patients.

Objective

To assess healthcare resource utilization (HRU) and costs of patients with TRD versus non-TRD MDD or without major depressive disorder (MDD; i.e., non-MDD) in a Medicare-insured population.

Methods

Adult patients were retrospectively identified from the Chronic Condition Warehouse de-identified 100% Medicare database (01/2010-12/2016). MDD was defined as ≥1 MDD diagnosis and ≥1 claim for an antidepressant. Patients initiated on a third antidepressant following two antidepressant treatment regimens of adequate dose and duration were considered to have TRD. The index date was defined as the date of the first antidepressant claim for the TRD and non-TRD MDD cohorts, and as a randomly imputed date for the non-MDD cohort. Patients with TRD were matched 1:1 to non-TRD MDD patients and randomly selected non-MDD patients based on propensity scores. Analyses were also performed for a subset of patients aged ≥65.

Results

Of 29,543 patients with MDD, 3,225 (10.9%) met the study definition of TRD; 157,611 were included in the non-MDD cohort. Matched patients with TRD and non-TRD MDD were, on average, 58.9 and 59.0 years old, respectively. The TRD cohort had higher per-patient-per-year (PPPY) HRU than the non-TRD MDD (e.g., inpatient visits: incidence rate ratio [IRR] = 1.36) and non-MDD cohorts (e.g., inpatient visits: IRR = 1.84, all P<0.001). The TRD cohort had significantly higher total PPPY healthcare costs than the non-TRD MDD cohort ($25,517 vs. $20,425, adjusted cost difference = $3,385) and non-MDD cohort ($25,517 vs. $14,542, adjusted cost difference = $4,015, all P<0.001). Similar results were found for the subset of patients ≥65.

Conclusion

Among Medicare-insured patients, those with TRD had higher HRU and costs compared to those with non-TRD MDD and non-MDD.

Economic Burden of Treatment-Resistant Depression Among Patients Hospitalized for Major Depressive Disorder in the United States

Objectives

This study aimed to evaluate hospital length of stay (LOS) and cost as well as readmission risk and the associated economic burden among patients hospitalized for treatment-resistant and non-treatment-resistant major depressive disorder.

Methods

Adult patients with a primary hospital discharge diagnosis of major depressive disorder were identified from the Premier Hospital Database (January 1, 2012-September 30, 2015). Patients were stratified into two cohorts: those whose hospital treatment was suggestive of treatment-resistant depression and those with non-treatment-resistant depression. Hospital LOS and cost during the initial admission and readmissions rates, LOS, and cost within the 6-month follow-up were compared between cohorts with a propensity score-matched sample.

Results

After matching, 45,066 patients were included in each cohort. For index hospitalizations, mean hospital LOS was longer (7.4 vs. 5.9 days, p<0.001) and mean hospital cost higher ($8,681 vs. $6,632, p<0.001) for patients with treatment-resistant depression vs. non-treatment-resistant depression. Rates for all-cause (24.4% vs. 20.0%, p<0.001), major depressive disorder-related (17.0% vs. 13.3%, p<0.001), and suicidal ideation/suicide attempt-related (12.8% vs. 9.5%, p<0.001) readmissions were higher for patients with treatment-resistant depression. Mean LOS and total hospital costs per patient for readmissions were also greater for patients with treatment-resistant depression vs. non-treatment-resistant depression. Correspondingly, the combined hospital cost (index hospitalization+all-cause readmissions) was greater for patients with treatment-resistant depression ($12,370 vs. $9,429, p<0.001).

Conclusions

Treatment-resistant depression was associated with substantial economic burden among patients hospitalized for major depressive disorder. More-effective treatment and care for this patient population may reduce the hospital burden of patients with treatment-resistant depression.

An episode level evaluation of the treatment journey of patients with major depressive disorder and treatment-resistant depression

Background

Many patients with major depressive disorder (MDD) fail to respond to antidepressant (AD) pharmacotherapy. The objectives of this study were to characterize MDD and treatment-resistant depression (TRD) at the level of pharmacologically treated episodes and to describe the sequential treatment patterns by lines of therapy (LOT) in the first two episodes.

Methods

Adults (≥18 years of age) with continuous enrollment ≥12 months before and after the first MDD diagnosis and treated with an AD, with or without an MDD-indicated antipsychotic (AP), were identified (1/1/2010-12/31/2015). The MDD episode started on the date of MDD diagnosis that was preceded by a clean period without any MDD diagnosis. The MDD episode ended on the last MDD diagnosis or the end of the days’ supply of AD/AP medication, whichever came last. TRD was defined as an MDD episode with ≥3 AD/AP regimens. Measured outcomes included episode duration, number of LOT, relapse hospitalization, and sequential treatment patterns of MDD episode stratified by TRD and non-TRD episodes.

Results

Of 48,440 patients who received AD/AP in the 1^st MDD episode, 3,317 (6.8%) of episodes were considered TRD. Mean duration of 1^st TRD episodes was 571 days, mean number of AD/AP LOTs was 3.47, and 13.7% involved relapse hospitalization. Mean duration of 1^st non-TRD episodes was 200 days, mean number of AD/AP LOTs was 1.21, and 9.6% involved relapse hospitalization. Among 1^st MDD episodes, 25.5% had a second LOT; 7.3% had a third LOT. Most patients received selective serotonin reuptake inhibitors (SSRIs) as the first LOT (63.0%), and the plurality of regimens were SSRIs in second (44.9%) and third LOT (41.1%).

Conclusions

Compared to non-TRD episodes, TRD episodes were longer and more often involved relapse hospitalizations. SSRIs were the most common treatment; treatment changes and potential treatment unresponsiveness were frequent among MDD patients.

Is clinician impression of depression symptom severity associated with incremental economic burden in privately insured US patients with treatment resistant depression?

BACKGROUND

Among patients with major depressive disorder (MDD), those with treatment-resistant depression (TRD) have a higher economic burden. However, the healthcare resource utilization (HRU) and costs may vary by severity status in TRD patients. This study quantified the incremental economic burden of severity status in TRD patients.

METHODS

In a US database of privately insured employees and dependents (07/01/2009-03/31/2015), a claims-based algorithm identified adult TRD patients who were stratified into mild, moderate, and severe cohorts based on the information in the last observed MDD ICD-9-CM code. HRU and costs of moderate and severe cohorts were compared to those of the mild cohort during the 2-year follow-up after the first antidepressant claim.

RESULTS

Among 6411 TRD patients, 455 (7.1%) were identified as mild, 2153 (33.6%) as moderate, and 1455 (22.7%) as severe. Moderate and severe patients compared to mild had 45% and 150% more inpatient admissions, 65% and 164% more inpatient days, 18% and 54% more emergency department visits and 8% and 10% more outpatient visits per-patient-per-year (PPPY), respectively (all-cause; all p < 0.05). Mean all-cause direct total healthcare costs were $12,123, $16,885, and $18,911 PPPY in mild, moderate, and severe patients, respectively. The all-cause total healthcare cost differences adjusted for baseline characteristics amounted to $3455 in moderate and $5150 in severe versus mild patients, respectively (PPPY; all p < 0.05).

LIMITATIONS

Not all TRD patients had a severity specifier; the severity specifier was not cross-validated against a depression scale.

CONCLUSIONS

Increased severity status is associated with incremental economic burden in TRD patients.

Medicaid spending burden among beneficiaries with treatment-resistant depression

Aim: To evaluate Medicaid spending and healthcare resource utilization (HRU) in treatment-resistant depression (TRD). Materials & methods: TRD beneficiaries were identified from Medicaid claims databases (January 2010–March 2017) and matched 1:1 with major depressive disorder (MDD) beneficiaries without TRD (non-TRD-MDD) and randomly selected patients without MDD (non-MDD). Differences in HRU and per-patient-per-year costs were reported in incidence rate ratios (IRRs) and cost differences (CDs), respectively. Results: TRD beneficiaries had higher HRU than 1:1 matched non-TRD-MDD (e.g., inpatient visits: IRR = 1.41) and non-MDD beneficiaries (N = 14,710 per cohort; e.g., inpatient visits: IRR = 3.42, p < 0.01). TRD beneficiaries incurred greater costs versus non-TRD-MDD (CD = US$4382) and non-MDD beneficiaries (CD = US$8294; p < 0.05). Conclusion: TRD is associated with higher HRU and costs versus non-TRD-MDD and non-MDD. TRD poses a significant burden to Medicaid.

All-cause mortality in patients with treatment-resistant depression: a cohort study in the US population

BACKGROUND

Treatment-resistant depression (TRD) may represent a substantial proportion of major depressive disorder (MDD); however, the risk of mortality in TRD is still incompletely assessed.

METHODS

Data were obtained from Optum Clinformatics™ Extended, a US claims database. Date of the first antidepressant (AD) dispensing was designated as the index date for study entry and 6 months prior to that was considered the baseline period. Patients with MDD aged ≥ 18 years, index date between January 1, 2008 and September 30, 2015, no AD claims during baseline, and continuous enrollment in the database during baseline were included. Patients who started a third AD regimen after two regimens of appropriate duration were included in the TRD cohort. All-cause mortality was compared between patients with TRD and non-TRD MDD using a proportional hazards model and Kaplan-Meier estimate with TRD status being treated as a time-varying covariate. The model was adjusted for study year, age, gender, depression diagnosis, substance use disorder, psychiatric comorbidities, and Charlson comorbidity index.

RESULTS

Out of 355,942 patients with MDD, 34,176 (9.6%) met the criterion for TRD. TRD was associated with a significantly higher mortality compared with non-TRD MDD (adjusted HR: 1.29; 95% CI 1.22-1.38; p < 0.0001). Survival time was significantly shorter in the TRD cohort compared with the non-TRD MDD cohort (p < 0.0001).

CONCLUSIONS

Patients with TRD had a higher all-cause mortality compared with non-TRD MDD patients.

Assessment of the relationship between diabetes treatment intensification and quality measure performance using electronic medical records

AIMS

Assess the relationship between timely treatment intensification and hemoglobin A1C (HbA1C) control quality-of-care performance measures, i.e., HbA1C levels, among patients with uncontrolled type 2 diabetes.

MATERIALS AND METHODS

Electronic medical records and diabetes registry data from a large, accountable care organization (ACO) were used to isolate a sample of adult patients with type 2 diabetes who received at least one oral antidiabetes agent and had at least one HbA1C level measurement ≥8.0% (64 mmol/mol; i.e., uncontrolled diabetes) between 7/1/2011 and 6/30/2015. Treatment intensification status was evaluated for each patient during a 120-day treatment intensification window following the index HbA1c measure. Two-level hierarchical generalized linear models, with patients aggregated at the physician level, were used to assess the association between treatment intensification and achieving HbA1C quality performance measures.

RESULTS

547 patients met study selection criteria and 480 patients had at least one HbA1C test after the treatment intensification window and were used for the statistical analyses. About 40% of patients who had uncontrolled diabetes received treatment intensification during the 120-day window. Greater index HbA1C, greater patient body mass index, and fewer unique pre-index oral antidiabetes agents were significantly associated with greater likelihood of receiving timely treatment intensification. The odds of receiving treatment intensification were about 1.8 times higher (P = 0.0027) among patients with poor index HbA1C control (HbA1c level >9.0% [75 mmol/mol]) compared to other patients (index HbA1c 8.0% - 9.0%). Hispanic patients (compared to White patients) were significantly more likely to exhibit poor control after treatment intensification (odds ratio [OR] 2.91, P = 0.0304), underscoring the difficulty of controlling diabetes in this vulnerable group. In contrast, being male and being treated primarily by an internist (compared to primary treatment by a family medicine specialist) were both significantly associated with achieving superior control (HbA1c level <8.0%) after treatment intensification (OR 0.53 [P = 0.0165]; OR 0.41 [P = 0.0275], respectively).

CONCLUSIONS

Timely treatment intensification was significantly associated with greater likelihood of patients achieving superior HbA1C control (<8.0%) and better HbA1C control quality performance for the practice. Even in an ACO with resources dedicated to diabetes control, it is incumbent upon clinicians to readily identify and open dialogues with patients who may benefit from closely supervised, individualized attention.

Recent trends in the prevalence of type 2 diabetes and the association with abdominal obesity lead to growing health disparities in the USA: An analysis of the NHANES surveys from 1999 to 2014

AIM

To assess whether the secular trends in type 2 diabetes prevalence differ between abdominally obese and non-obese individuals.

METHODS

Data from the National Health and Nutrition Examination Surveys (NHANES) were used to estimate the prevalence of type 2 diabetes and abdominal obesity among individuals aged ≥20 years in the USA from 1999/2000 to 2013/2014, after standardization to the age, sex and ethnicity population distribution estimates on January 1, 2014, as published by the US Census Bureau.

RESULTS

The prevalence of abdominal obesity in the US population increased from 47.4% (95% confidence interval [CI] 42.6-52.2) in 1999/2000 to 57.2% (95% CI 55.9-58.5) in 2013/2014. A significant increase was observed in all age groups: 20 to 44, 45 to 64, and ≥65 years. The prevalence of type 2 diabetes has also increased from 8.8% (95% CI 7.2-10.4) in 1999/2000 to 11.7% (95% CI 10.9-12.6) in 2013/2014, with no substantial change in trend over the recent years. However, the increase in the prevalence of type 2 diabetes was limited to individuals with abdominal obesity, and more specifically to individuals aged ≥45 years with abdominal obesity, with no significant change in prevalence in the non-obese group and in individuals aged <45 years.

CONCLUSION

These findings highlight the critical importance of abdominal obesity-both as a likely key contributor to the continuing epidemic of type 2 diabetes in the USA and as a priority target for public health interventions.

Healthcare costs among adults with type 2 diabetes initiating saxagliptin or linagliptin: a US-based claims analysis

OBJECTIVE

To compare healthcare costs of adults with type 2 diabetes (T2D) after initiation of saxagliptin or linagliptin, two antidiabetic medications in the dipeptidyl peptidase-4 inhibitor medication class.

METHODS

Patients with T2D who were at least 18 years old and initiated saxagliptin or linagliptin (index date) between 1 June 2011 and 30 June 2014 were identified in the MarketScan Commercial and Medicare Supplemental Databases. All-cause healthcare costs and diabetes-related costs (T2D diagnosis on a medical claim and/or an antidiabetic medication claim) were measured in the 1 year follow-up period. Saxagliptin and linagliptin initiators were matched using propensity score methods. Cost ratios (CRs) and predicted costs were estimated from generalized linear models and recycled predictions.

RESULTS

There were 34,560 saxagliptin initiators and 18,175 linagliptin initiators identified (mean ages 57 and 59; 55% and 56% male, respectively). Before matching, saxagliptin initiators had significantly lower all-cause total healthcare costs than linagliptin initiators (mean = $15,335 [SD $28,923] vs. mean = $20,069 [SD $48,541], p < .001) and significantly lower diabetes-related total healthcare costs (mean = $6109 [SD $13,851] vs. mean = $7393 [SD $26,041], p < .001). In matched analyses (n = 16,069 per cohort), saxagliptin initiators had lower all-cause follow-up costs than linagliptin initiators (CR = 0.953, 95% CI = 0.932-0.974, p < .001; predicted costs = $17,211 vs. $18,068). There was no significant difference in diabetes-related total costs after matching; however, diabetes-related medical costs were significantly lower for saxagliptin initiators (CR = 0.959, 95% CI = 0.927-0.993, p = 0.017; predicted costs = $3989 vs. $4159).

CONCLUSIONS

Adult patients with T2D initiating treatment with saxagliptin had lower total all-cause healthcare costs and diabetes-related medical costs over 1 year compared with patients initiating treatment with linagliptin.

Influence of buttermilk powder or buttermilk addition on phospholipid content, chemical and bio-chemical composition and bacterial viability in Cheddar style-cheese

The effect of buttermilk powder addition post-curd formation or buttermilk addition to cheese milk on total and individual phospholipid content, chemical composition, enzyme activity, microbial populations and microstructure within Cheddar-style cheese was investigated. Buttermilk or buttermilk powder addition resulted in significant increases in total phospholipid content and their distribution throughout the cheese matrix. Addition of 10% buttermilk powder resulted in higher phospholipid content, moisture, pH and salt in moisture levels, and lower fat, fat in dry matter, L. helveticus and non-starter bacteria levels in cheeses. Buttermilk powder inclusion resulted in lower pH4.6/Soluble Nitrogen (SN) levels and significantly lower free amino acid levels in 10% buttermilk powder cheeses. Buttermilk addition provided a more porous cheese microstructure with greater fat globule coalescence and increased free fat pools, while also increasing moisture and decreasing protein, fat and pH levels. Addition of buttermilk in liquid or powdered form offers potential for new cheeses with associated health benefits.

Value-Based Payments and Incentives to Improve Care: A Case Study of Patients with Type 2 Diabetes in Medicare Advantage

OBJECTIVES

To estimate the impact of increased glycated hemoglobin (A1C) monitoring and treatment intensification for patients with type 2 diabetes (T2D) on quality measures and reimbursement within the Medicare Advantage Star (MA Star) program.

METHODS

The primary endpoint was the share of patients with T2D with adequate A1C control (A1C ≤ 9%). We conducted a simulation of how increased A1C monitoring and treatment intensification affected this end point using data from the National Health and Nutrition Examination Survey and clinical trials. Using the estimated changes in measured A_1C levels, we calculated corresponding changes in the plan-level A_1C quality measure, overall star rating, and reimbursement.

RESULTS

At baseline, 24.4% of patients with T2D in the average plan had poor A1C control. The share of plans receiving the highest A1C rating increased from 27% at baseline to 49.5% (increased monitoring), 36.2% (intensification), and 57.1% (joint implementation of both interventions). However, overall star ratings increased for only 3.6%, 1.3%, and 4.8% of plans, respectively, by intervention. Projected per-member per-year rebate increases under the MA Star program were $7.71 (monitoring), $2.66 (intensification), and $10.55 (joint implementation).

CONCLUSIONS

The simulation showed that increased monitoring and treatment intensification would improve A1C levels; however, the resulting average increases in reimbursement would be small.

Delays in treatment intensification with oral antidiabetic drugs and risk of microvascular and macrovascular events in patients with poor glycaemic control: An individual patient simulation study

AIMS

To use the Archimedes model to estimate the consequences of delays in oral antidiabetic drug (OAD) treatment intensification on glycaemic control and long-term outcomes at 5 and 20 years.

MATERIALS AND METHODS

Using real-world data, we modelled a cohort of hypothetical patients with glycated haemoglobin (HbA1c) ≥8%, on metformin, with no history of insulin use. The cohort included 3 strata based on the number of OADs taken at baseline. The first add-on in the intensification sequence was a sulphonylurea, next was a dipeptidyl peptidase-4 inhibitor, and last, a thiazolidinedione. The scenarios included either no delay or delay, based on observed and extrapolated times to intensification.

RESULTS

At 1 year, HbA1c was 6.8% for patients intensifying without delay, and 8.2% for those delaying intensification. For no delay vs delay, risks of major adverse cardiac events, myocardial infarction, heart failure and amputations were reduced by 18.0%, 25.0%, 13.7%, and 20.4%, respectively, at 5 years; severe hypoglycaemia risk, however, increased to 19% for the no delay scenario vs 12.5% for delay. At 20 years, the results showed similar trends to those at 5 years.

CONCLUSIONS

Timing of intensification of OAD therapy according to guideline recommendations led to greater reductions in HbA1c and lower risks of complications, but higher risks of hypoglycaemia than delaying intensification. These results highlight the potential impact of timely treatment intensification on long-term outcomes.

Change in HbA1c associated with treatment intensification among patients with type 2 diabetes and poor glycemic control

OBJECTIVE

We conducted a retrospective cohort study to investigate the HbA1c change associated with treatment intensification in a real-world population of patients with type 2 diabetes (T2D).

METHODS

Using a large US insurance claims database, patients aged ≥18 years with a T2D diagnosis and HbA1c ≥8.0% (64 mmol/mol) after ≥3 months of oral pharmacotherapy with metformin (± other oral antidiabetes agents) were identified (index date). Continuous enrollment was required for ≥12 months before (baseline) and after the index date with no baseline use of injectable antidiabetes drugs. We defined treatment intensification as prescriptions for injectable or additional oral antidiabetes drugs. Time to intensification was classified as timely (within 6 months) or not (≥6 months or not intensified). Linear regression models with propensity score 1:1 matching were performed to assess the effect of timely intensification on HbA1c.

RESULTS

Of the 11,525 patients meeting the inclusion criteria, only 37% had treatment intensified within 6 months. Mean age at index date was 57 years, 40% of the sample was female. The mean baseline A1C was 9.4% and 9.0%, while post-index A1C was 7.9% and 8.2% for timely intensified patients versus not, respectively. Patients with timely intensification had significantly greater HbA1c reduction compared with others (-0.33%, 95% CI: -0.41% to -0.25%) within 1 year of follow up.

CONCLUSIONS

In this analysis of patients with T2D and treatment failure in a real-world setting, earlier treatment intensification was associated with better glycemic control as indicated by lower HbA1c values.

The relationship between adherence and total spending among Medicare beneficiaries with type 2 diabetes

OBJECTIVES

This study examined the relationship between medication adherence, cost sharing measured as out-of-pocket spending, and total annual spending in Medicare beneficiaries with type 2 diabetes (T2D) to evaluate whether pharmacy cost-sharing programs have the potential to decrease adherence. These programs may unintentionally increase the risk of medical complications and may result in higher spending overall.

STUDY DESIGN

This retrospective study used 2006 to 2009 Medicare claims data. The sample included patients 65 years or older with T2D (at least 1 claim with International Classification of Diseases, 9th Revision, Clinical Modification codes 250.x0 and 250.x2 and at least 1 antidiabetes drug claim).

METHODS

Medication adherence was measured as proportion of days covered over the first 12 months of observation. Spending and adherence outcomes were defined in deciles.

RESULTS

The sample included 12,305 patient-year observations. Pharmacy spending for patients in the most adherent (10th) decile was 59% higher than that for patients in the least adherent (1st) decile ($4839 vs $3046). Yet, patients in the 10th decile had 49% lower total ($12,531 vs $24,468) and 64% lower medical spending ($7692 vs $21,421) than patients in the 1st decile. Greater out-of-pocket spending was correlated with lower adherence and higher total and medical spending.

CONCLUSIONS

This study describes a widespread variation in medication adherence, pharmacy cost sharing, and medical spending in a sample of Medicare beneficiaries with T2D. We found that lower adherence was correlated with higher cost sharing in the Medicare population, perhaps because of unobserved confounding factors. However, the existing literature on patients with employer-sponsored insurance suggests some of this correlation may be indicative of causal relationships.

Abstract 135: Assessing the Personalization of Glycemic Management Strategies Through the Diabetes Collaborative Registry

Background: Although practice guidelines stress individualization of glucose management in patients with type 2 diabetes (T2D), the extent to which providers take patient factors into account when selecting medications is not well known. We used data from DCR to evaluate the current real-world landscape of glucose-lowering drugs in key subsets of patients with T2D.

Methods: DCR is the first large-scale US outpatient registry of patients with diabetes recruited from cardiology, endocrinology, and primary care practices and currently encompasses 374 practices and 5114 providers. T2D medications were grouped as those which are suboptimal for patients with 1) obesity: insulin, sulfonylurea, TZD; 2) elderly (i.e., high hypoglycemia risk): insulin, sulfonylurea; 3) CKD 4/5: metformin, sulfonylurea; and 4) CV disease: sulfonylurea. We examined patient factors associated with use of these groups of meds using 4 hierarchical (for both specialty and site) modified Poisson models, adjusting for HbA1c, number of T2D meds, and insurance.

Results: Overall, 157,551 patients with T2D were prescribed a med for glycemic control: metformin 75%, sulfonylurea 34%, insulin 28%, DPP-4i 18%, TZD 11%, GLP-1 RA 6.4%, SGLT2i 4.8%. After adjusting patient factors, glycemic control, and insurance status, patients with higher BMIs were more likely treated with medications prone to cause weight gain (obesity class I/II: rate ratio [RR] 1.02, 95% CI 1.00-1.03; obesity class III: RR 1.09, 95% CI 1.05-1.12). Older patients were more likely to be treated with meds with increased risk of hypoglycemia (RR 1.04 per 5 years, 95% CI 1.03-1.05). Patients with GFR <30 were less likely to be treated with meds with known risk in patients with CKD (RR 0.72, 95% CI 0.68-0.76). Patients with CAD were less likely to be treated with meds with known CV harm (RR 0.97, 95% CI 0.96-1.00).

Conclusion: In a large US-based registry of T2D patients, we observed some targeted use of glucose-lowering therapy—in particular, patients with advanced CKD and CAD were not given meds known to be harmful to these patients. However, risk of hypoglycemia and risk of weight gain did not appear to factor substantially into decision making. As these are among several factors that go into drug selection for complicated patients with T2D, conclusions from these data are limited. Nonetheless, in an era of increasing number and complexity of medication choices with varying risk/benefits, databases like the DCR may allow investigators to assess these trends and to highlight potential areas for improvement in pharmacologic personalization, particularly as the use of newer drug classes grows.

Quality measure attainment with dapagliflozin plus metformin extended-release as initial combination therapy in patients with type 2 diabetes: a post hoc pooled analysis of two clinical studies

Background

The use of quality measures attempts to improve safety and health outcomes and to reduce costs. In two Phase III trials in treatment-naive patients with type 2 diabetes, dapagliflozin 5 or 10 mg/d as initial combination therapy with metformin extended-release (XR) significantly reduced glycated hemoglobin (A_1C) from baseline to 24 weeks and allowed higher proportions of patients to achieve A_1C <7% vs dapagliflozin or metformin monotherapy.

Objective

A pooled analysis of data from these two studies assessed the effect of dapagliflozin 5 or 10 mg/d plus metformin XR (combination therapy) compared with placebo plus metformin XR (metformin monotherapy) on diabetes quality measures. Quality measures include laboratory measures of A_1C and low-density lipoprotein cholesterol (LDL-C) as well as vital status measures of blood pressure (BP) and body mass index (BMI). The proportion of patients achieving A_1C, BP, and LDL-C individual and composite measures was assessed, as was the proportion with baseline BMI ≥25 kg/m² who lost ≥4.5 kg. Subgroup analyses by baseline BMI were also performed.

Results

A total of 194 and 211 patients were treated with dapagliflozin 5- or 10-mg/d combination therapy, respectively, and 409 with metformin monotherapy. Significantly higher proportions of patients achieved A_1C ≤6.5%, <7%, or <8% with combination therapy vs metformin monotherapy (P<0.02). Significantly higher proportions of patients achieved BP <140/90 mmHg (P<0.02 for each dapagliflozin dose) and BP <130/80 mmHg (P<0.02 with dapagliflozin 5 mg/d only) with combination therapy vs metformin monotherapy. Similar proportions (29%–33%) of patients had LDL-C <100 mg/dL across treatment groups. A higher proportion of patients with baseline BMI ≥25 kg/m² lost ≥4.5 kg with combination therapy. Combination therapy had a more robust effect on patients with higher baseline BMI.

Conclusion

Initial combination therapy with dapagliflozin 5 or 10 mg/d and metformin improved quality measures relevant to clinical outcomes and diabetes care.

Treatment intensification for patients with type 2 diabetes and poor glycaemic control

AIMS

To identify the time to and patient characteristics associated with treatment intensification in patients with type 2 diabetes (T2D) and poor glycaemic control.

METHODS

Using a large US insurance claims database, we conducted a retrospective cohort study among adult patients with T2D and glycated haemoglobin (HbA1c) ≥8% (index date) after ≥3 months of therapy including metformin. Patients were required to have continuous enrolment for at least 12 months before (baseline) and after index date, and no injectable antidiabetes medications. We defined treatment intensification as prescription fill for injectable or additional oral antidiabetic drugs (OADs). Cox modelling was performed to identify factors associated with time to treatment intensification.

RESULTS

For the 11 525 patients meeting the inclusion criteria, the mean age at index date was 57 years, 40% were female and the mean index HbA1c was 9.1%. Overall, 37% of patients had their treatment intensified <6 months after, 11% had their treatment intensified 6-12 months after, and 52% did not have their treatment intensified <12 months after the index date. A higher index HbA1c was associated with early intensification [hazard ratio (HR) 1.18 for HbA1c ≥9 to <10% and HR 1.41 for HbA1c ≥10% compared with HbA1c ≥8 to <9%; p < 0.0001), and later line of therapy was associated with late intensification (HR 0.78 for metformin with one OAD and HR 0.68 for metformin with ≥2 OADs compared with metformin monotherapy; p < 0.0001).

CONCLUSIONS

Fewer than half of patients with T2D and treatment failure received intensification within 12 months in a real-world US population. Factors associated with treatment inertia can be used to target clinical care for these patients.

Incremental increases in economic burden parallels cardiometabolic risk factors in the US

OBJECTIVE

Estimate the economic burden associated with incremental increases in the number of cardiometabolic risk factors (CMRFs) in the US.

METHODS

We used the nationally representative Medical Expenditure Panel Survey from 2010 to 2012 to create a retrospective cohort of people based on the number of CMRFs (one, two, and three or four), and a comparison cohort of people with zero CMRFs. CMRFs included abdominal obesity, elevated blood pressure, elevated triglycerides, and elevated glucose and were defined using diagnostic codes, prescribed medications, and survey responses. Adjusted regression analysis was developed to compare health expenditures, utilization, and lost-productivity differences between the cohorts. Generalized linear regression was used for health care expenditures, and negative binomial regression was used for utilization and productivity, controlling for individual characteristics.

RESULTS

The number of CMRFs was associated with significantly more annual utilization, health care expenditures, and reduced productivity. As compared with people with zero CMRFs, people with one, two, and three or four CMRFs had 1.15 (95% confidence interval [CI]: 1.06, 1.24), 1.37 (95% CI: 1.25, 1.51), and 1.39 (95% CI: 1.22, 1.57) times higher expected rate of emergency room visits, respectively. Compared with people with zero CMRFs, people with one, two, and three or four CMRFs had increased incremental health care expenditures of US$417 (95% CI: $70, $763), US$2,326 (95% CI: $1,864, $2,788), and US$4,117 (95% CI: $3,428, $4,807), respectively. Those with three or four CMRFs reported employment of 60%, compared with 80% in patients with zero CMRFs. People with three or four CMFRs had 1.75 (95% CI: 1.42, 2.17) times higher expected rate of days missed at work due to illness, compared with people with zero CMRFs.

CONCLUSION

Our findings demonstrate a direct association between economic burden and number of CMRFs. Although this was expected, the increase in burden that was independent from the cost of cardiovascular disease was surprising.