Diabetes diagnosis and management among insured adults across metropolitan areas in the U.S.

This study provides diabetes-related metrics for the 50 largest metropolitan areas in the U.S. in 2012-including prevalence of diagnosed and undiagnosed diabetes, insurance status of the population with diabetes, diabetes medication use, and prevalence of poorly controlled diabetes. Diabetes prevalence estimates were calculated using cross-sectional data combining the Behavioral Risk Factor Surveillance System, American Community Survey, National Nursing Home Survey, Census population files, and National Health and Nutrition Examination Survey. Analysis of medical claims files (2012 de-identified Normative Health Information database, 2011 Medicare Standard Analytical Files, and 2008 Medicaid Analytic eXtract) produced information on treatment and poorly controlled diabetes by geographic location, insurance type, sex, and age group. Among insured adults with diagnosed type 2 diabetes in 2012, the proportion receiving diabetes medications ranged from 83% in Oklahoma City, Oklahoma, to 65% in West Palm Beach, Florida. The proportion of treated patients with medical claims indicating poorly controlled diabetes was lowest in Minneapolis, Minnesota (36%) and highest in Texas metropolitan areas of Austin (51%), San Antonio (51%), and Houston (50%). Estimates of diabetes detection and management across metropolitan areas often differ from state and national estimates. Local metrics of diabetes management can be helpful for tracking improvements in communities over time.

Future Health and Economic Impact of Comprehensive Tobacco Control in DoD: A Microsimulation Approach.

Background: Tobacco use is a major concern to the Military Health System of the Department of Defense (DoD). The 2011 DoD Health Related Behavior Survey reported that 24.5% of active duty personnel are current smokers, which is higher than the national estimate of 20.6% for the civilian population. Overall, it is estimated that tobacco use costs the DoD $1.6 billion a year through related medical care, increased hospitalization, and lost days of work, among others. Methods: This study evaluated future health outcomes of Tricare Prime beneficiaries aged 18-64 yr (N = 3.2 million, including active duty and retired military members and their dependents) and the potential economic impact of initiatives that DoD may take to further its effort to transform the military into a tobacco-free environment. Our analysis simulated the future smoking status, risk of developing 25 smoking-related diseases, and associated medical costs for each individual using a Markov Chain Monte Carlo microsimulation model. Data sources included Tricare administrative data, national data such as Centers for Disease Control and Prevention mortality data and National Cancer Institute's cancer registry data, as well as relative risks of diseases obtained from a literature review. Findings: We found that the prevalence of active smoking among the Tricare Prime population will decrease from about 24% in 2015 to 18% in 2020 under a status quo scenario. However, if a comprehensive tobacco control initiative that includes a 5% price increase, a tighter clean air policy, and an intensified media campaign were to be implemented between 2016 and 2020, the prevalence of smoking could further decrease to 16%. The near 2 percentage points reduction in smoking prevalence represents an additional 81,240 quitters and translates to a total lifetime medical cost savings (in 2016 present value) of $968 million, with 39% ($382 million) attributable to Tricare savings. Discussion: A comprehensive tobacco control policy within the DoD could significantly decrease the prevalence and lifetime medical cost of tobacco use. If the smoking prevalence among Prime beneficiaries could reach the Healthy People 2020 goal of 12%, through additional measures, the lifetime savings could mount to $2.08 billion. To achieve future savings, DoD needs to pay close attention to program design and implementation issues of any additional tobacco control initiatives.

Association Between Hospital Participation in a Medicare Bundled Payment Initiative and Payments and Quality Outcomes for Lower Extremity Joint Replacement Episodes.

IMPORTANCE: Bundled Payments for Care Improvement (BPCI) is a voluntary initiative of the Centers for Medicare & Medicaid Services to test the effect of holding an entity accountable for all services provided during an episode of care on episode payments and quality of care. OBJECTIVE: To evaluate whether BPCI was associated with a greater reduction in Medicare payments without loss of quality of care for lower extremity joint (primarily hip and knee) replacement episodes initiated in BPCI-participating hospitals that are accountable for total episode payments (for the hospitalization and Medicare-covered services during the 90 days after discharge). DESIGN, SETTING, AND PARTICIPANTS: A difference-in-differences approach estimated the differential change in outcomes for Medicare fee-for-service beneficiaries who had a lower extremity joint replacement at a BPCI-participating hospital between the baseline (October 2011 through September 2012) and intervention (October 2013 through June 2015) periods and beneficiaries with the same surgical procedure at matched comparison hospitals. EXPOSURE: Lower extremity joint replacement at a BPCI-participating hospital. MAIN OUTCOMES AND MEASURES: Standardized Medicare-allowed payments (Medicare payments), utilization, and quality (unplanned readmissions, emergency department visits, and mortality) during hospitalization and the 90-day postdischarge period. RESULTS: There were 29 441 lower extremity joint replacement episodes in the baseline period and 31 700 in the intervention period (mean [SD] age, 74.1 [8.89] years; 65.2% women) at 176 BPCI-participating hospitals, compared with 29 440 episodes in the baseline period (768 hospitals) and 31 696 episodes in the intervention period (841 hospitals) (mean [SD] age, 74.1 [8.92] years; 64.9% women) at matched comparison hospitals. The BPCI mean Medicare episode payments were $30 551 (95% CI, $30 201 to $30 901) in the baseline period and declined by $3286 to $27 265 (95% CI, $26 838 to $27 692) in the intervention period. The comparison mean Medicare episode payments were $30 057 (95% CI, $29 765 to $30 350) in the baseline period and declined by $2119 to $27 938 (95% CI, $27 639 to $28 237). The mean Medicare episode payments declined by an estimated $1166 more (95% CI, -$1634 to -$699; P < .001) for BPCI episodes than for comparison episodes, primarily due to reduced use of institutional postacute care. There were no statistical differences in the claims-based quality measures, which included 30-day unplanned readmissions (-0.1%; 95% CI, -0.6% to 0.4%), 90-day unplanned readmissions (-0.4%; 95% CI, -1.1% to 0.3%), 30-day emergency department visits (-0.1%; 95% CI, -0.7% to 0.5%), 90-day emergency department visits (0.2%; 95% CI, -0.6% to 1.0%), 30-day postdischarge mortality (-0.1%; 95% CI, -0.3% to 0.2%), and 90-day postdischarge mortality (-0.0%; 95% CI, -0.3% to 0.3%). CONCLUSIONS AND RELEVANCE: In the first 21 months of the BPCI initiative, Medicare payments declined more for lower extremity joint replacement episodes provided in BPCI-participating hospitals than for those provided in comparison hospitals, without a significant change in quality outcomes. Further studies are needed to assess longer-term follow-up as well as patterns for other types of clinical care.

Geographic Variation in Antidiabetic Agent Adherence and Glycemic Control Among Patients with Type 2 Diabetes.

BACKGROUND: Medication nonadherence is an imperative public health concern. Among patients with type 2 diabetes mellitus (T2DM), poor adherence to antidiabetic agents is strongly associated with suboptimal glycemic control. Poor adherence and hyperglycemia greatly increase diabetes-related morbidity and mortality. At a national level, diabetes drug adherence using average proportion of days covered (PDC) is estimated to range between 36% and 81%, with an estimated range for diabetes control between 38% and 47%. At a state level no such studies exist. OBJECTIVE: To estimate the level of medication adherence to antidiabetic agents and of diabetes control, and their association among patients with T2DM receiving medication treatment at the state and the Metropolitan Statistical Area (MSA) levels among the populations covered by commercial insurance, Medicare, or Medicaid. METHODS: The study population included adults with T2DM aged ≥18 years who were identified using ICD-9-CM code 250.xx, who received diabetes medication, and who were covered by private insurance, Medicare, or Medicaid in each state, the District of Columbia, and the top 50 MSAs. Medication adherence was measured by average PDC and the percentage of population that had a PDC ≥ 80%. Diabetes control was identified using ICD-9-CM diagnosis codes. Patients who were not diagnosed with uncontrolled diabetes (250.x2 and 250.x3) were identified as being under control. The administrative claims databases used for this study included the 2012 medical and pharmacy claims from a large U.S. health plan, the complete 2011 Medicare Standard Analytical File linked with Part D claims, and the 2008 Mini-Medicaid Analytic eXtract (Mini-Max). Medication adherence and diabetes control were adjusted for age and sex to allow comparison across insurance coverage, states, and MSAs. RESULTS: For an insured patient population with T2DM that received diabetic drug treatment, average PDC was 79%. However, 35% of patients did not achieve an adherence of at least 80% of PDC. In addition, at least 40% of patients did not have their diabetes under control. Across insurance types, we found that patients insured with Medicare had relatively high average PDC and adherence levels (83% and 71%) in comparison with the commercially insured population (77% and 60%) and Medicaid patients (75% and 57%). In contrast, commercially insured patients had relatively better diabetes control (69%) than those insured with Medicare and Medicaid (54% and 53%, respectively). At a state level, we found that commercially insured and Medicare populations have relatively smaller geographic variation in drug adherence than the Medicaid population. CONCLUSIONS: This study identified gaps in T2DM drug adherence and pinpointed geographic areas that lag in terms of diabetes drug adherence or diabetes control and would benefit from implementing strategies to increase drug adherence.