Activation, physical activity, and outcomes among individuals with T2D.

OBJECTIVES: To explore the associations among activation, physical activity, hemoglobin A1c (HbA1c), and healthy days in older adults with type 2 diabetes (T2D) who participated in wellness programs. STUDY DESIGN: Observational, longitudinal cohort study utilizing survey, claims, and wellness program data. METHODS: From January to May 2018, individuals enrolled in a commercial or Medicare Advantage and prescription drug plan with T2D (aged 55-89 years) and SilverSneakers or step count data were eligible. Three waves of surveys were mailed (n = 5000) to collect information on activation (Consumer Health Activation Index; Influence, Motivation, and Patient Activation for Diabetes) and health-related quality of life (Healthy Days). Generalized linear models and predictive models evaluated the associations of unhealthy days and HbA1c with physical activity and activation factors. Additional models tested the relationship between physical activity and future acute care visits, accounting for potential confounders via inverse probability of treatment weighting. RESULTS: Respondents to all 3 waves (n = 1147) had higher comorbidity indices but lower HbA1c than individuals with T2D without physical activity data (P < .0001). Individuals with moderate and high activation levels had 67.4% to 74.0% and 71.6% to 85.6% fewer unhealthy days, respectively, than those with lower activation (P < .01). Individuals with high (> 8000/day) step counts at baseline were predicted to have 2.04 fewer unhealthy days/month at follow-up (P < .05) and 0.19% (P < .02) lower HbA1c units, respectively, compared with those with less than 4000 steps per day. High SilverSneakers activity (> 2 activities per week) reduced subsequent acute care visits by 49%. CONCLUSIONS: Increasing patient activation levels encourages physical activity, which can help improve glycemic control and health-related quality of life, especially among older adults.

Reduced medical spending associated with increased use of a remote diabetes management program and lower mean blood glucose values.

Aims: Many new mobile technologies are available to assist people in managing chronic conditions, but data on the association between the use of these technologies and medical spending remains limited. As the available digital technology offerings to aid in diabetes management increase, it is important to understand their impact on medical spending. The aim of this study was to investigate the financial impact of a remote digital diabetes management program using medical claims and real-time blood glucose data. Materials and methods: A retrospective analysis of multivariate difference-in-difference and instrumental variables regression modeling was performed using data collected from a remote digital diabetes management program. All employees with diabetes were invited, in a phased introduction, to join the program. Data included blood glucose (BG) values captured remotely from members via connected BG meters and medical spending claims. Participants included members (those who accepted the invitation, n = 2,261) and non-members (n = 8,741) who received health insurance benefits from three self-insured employers. Medical spending was compared between people with well-controlled (BG ≤ 154 mg/dL) and poorly controlled (BG > 154 mg/dL) diabetes. Results: Program access was associated with a 21.9% (p < 0.01) decrease in medical spending, which translates into a $88 saving per member per month at 1 year. Compared to non-members, members experienced a 10.7% (p < 0.01) reduction in diabetes-related medical spending and a 24.6% (p < 0.01) reduction in spending on office-based services. Well-controlled BG values were associated with 21.4% (p = 0.03) lower medical spending. Limitations and conclusions: Remote digital diabetes management is associated with decreased medical spending at 1 year. Reductions in spending increased with active utilization. It will be beneficial for future studies to analyze the long-term effects of the remote diabetes management program and assess impacts on patient health and well-being.

A multinational observational study assessing insulin use: Understanding the determinants associated with progression of therapy.

AIMS: To describe global patterns of insulin treatment and to assess the impact of patient, provider, health system and economic influences on treatment decisions for patients with insulin-treated type 2 diabetes (T2D). METHODS: This prospective cohort study of insulin-treated patients with T2D was conducted across 18 countries categorized as high, upper-middle or lower-middle income regions. Information collected from patients included knowledge of diabetes, experiences and interactions with their healthcare provider. Physician information included specialty, practice size, availability of diabetes support services, volume of diabetes patients treated and time spent per patient. Physicians determined an individualized haemoglobin A1c (HbA1c) target for each patient by the start of the study. Changes in T2D therapies and HbA1c were recorded for 2 years. RESULTS: Complete treatment data were available for 2528 patients. Median age was 61 years and median duration of diabetes was 11.4 years. Changes to treatment regimen occurred in 90.0% of patients, but changes were less common in countries with a higher economic status (P < 0.001). Most treatment changes involved insulin, with changes in dose the most common. Overall predictors of change in insulin therapy included younger age, use of any insulin regimen other than basal only, higher mean baseline HbA1c and longer duration of T2D. HbA1c levels remained constant regardless of regional economic status. At baseline, 20.6% of patients were at their HbA1c target; at 2 years this was 26.8%. CONCLUSIONS: Among insulin-treated patients with T2D, treatment changes were common; however, only approximately one-fourth of individuals achieved their HbA1c target.

Clinical characteristics, patterns of lipid-lowering medication use, and health care resource utilization and costs among patients with atherosclerotic cardiovascular disease.

PURPOSE: The aim of this study was to investigate real-world patient characteristics, medication use, and health care resource utilization (HCRU) and costs among patients with clinical atherosclerotic cardiovascular disease (ASCVD) as defined by 2013 American College of Cardiology/American Heart Association (ACC/AHA) guidelines, to examine burden of disease and unmet needs, such as potential undertreatment. PATIENTS AND METHODS: This retrospective cohort study utilized a nationally representative managed care database to identify newly diagnosed ASCVD patients between January 1, 2007, and November 30, 2012 (index = first ASCVD diagnosis date) in the USA. Patients had ≥12-month pre-index (baseline) and ≥12-month post-index (follow-up) health plan enrollment and no baseline lipid-lowering medication (LLM). Patient characteristics, LLM utilization patterns, HCRU, and costs were examined for all patients and by subgroups based on LLM use pattern and/or follow-up low-density lipoprotein cholesterol (LDL-C) levels. RESULTS: A total of 128,017 ASCVD patients were identified with a mean (SD) age of 59 (13) years, 43.1% female, and 48.8% with ≥36-month follow-up. Within 12-month follow-up, 10.6% had high-intensity statins and 56.9% had no LLM fills. Baseline mean (SD) all-cause costs were $8,852 ($25,608). At 12-month follow-up, mean (SD) all-cause and ASCVD-related costs were $31,443 ($54,040) and $20,289 ($45,159), respectively. The 36-month analyses showed similar distributions. Multivariable analyses showed that age, gender, region, health insurance type, baseline comorbidities, baseline use of specific medications, baseline lipid profiles, and index ASCVD type were significantly associated with all-cause and ASCVD-related health care costs. CONCLUSION: Patients have nonoptimal treatment for ASCVD and substantial HCRU and costs associated with residual risk. Unmet needs and cost burdens of ASCVD patients merit additional investigation.

Comparative resource utilization and costs for patients with acute coronary syndrome managed with percutaneous coronary intervention and treated with clopidogrel or prasugrel.

PURPOSE: Results of a study of bleeding events and other inhospital outcomes with the use of clopidogrel versus prasugrel in patients with acute coronary syndrome (ACS) managed with percutaneous coronary intervention (PCI) are reported. METHODS: Demographic and clinical data on adults hospitalized for ACS, managed with PCI, and treated with clopidogrel or prasugrel during a two-year period were extracted from a large hospital claims database. Bleeding rates, hospital length of stay (LOS), and total hospital costs during the index hospitalization were evaluated. RESULTS: The study sample consisted of 75,297 patients who received clopidogrel and 9,477 who received prasugrel. The unadjusted bleeding rates were 5.7% with clopidogrel use and 3.2% with prasugrel use (p < 0.0001). After propensity score stratification to adjust for selection bias, rates of bleeding events were not significantly different between clopidogrel- and prasugrel-treated patients (odds ratio, 0.90; 95% confidence interval [CI], 0.80-1.02; p = 0.0949). The adjusted mean ± S.D. hospital LOS was 0.22 day lower (95% CI, 0.15-0.28; p < 0.001) with the use of prasugrel versus clopidogrel, and adjusted total mean hospital costs were $375 less for prasugrel-treated patients (p = 0.003). CONCLUSION: After adjustments for demographic and clinical characteristics, rates of inhospital bleeding in patients who received prasugrel and those who received clopidogrel were not significantly different. The adjusted analyses showed that the mean hospital LOS was shorter and total mean hospital costs were lower for patients treated with prasugrel.

High-Risk Atherosclerotic Cardiovascular Disease in a Real-World Employed Japanese Population: Prevalence, Cardiovascular Event Rates, and Costs.

AIM: To assess the prevalence of high-risk atherosclerotic cardiovascular disease (ASCVD, defined as history of acute coronary syndrome [hACS], cerebrovascular atherosclerotic disease [CeVAD], peripheral artery disease [PAD], or coronary artery disease w/diabetes [CADD]) and associated costs and cardiovascular (CV) events in Japan. METHODS: A retrospective analysis was conducted using the Japan Medical Data Center (JMDC) database (2006-2011). ASCVD prevalence was estimated on the basis of diagnoses for CeVAD, PAD, CADD, and hACS (ACS claim ＞ 30-≤ 365 days after ACS-related hospitalization) during 1/1/ 2008-12/31/2009. Population denominators used in the prevalence estimations were provided by JMDC. A subcohort with an insurance coverage for ≥ 12 months before and ≥ 24 months after first/index ASCVD claim during 1/1/2008-12/31/2009 were analyzed on the basis of costs (in 2012 US dollars) and events. RESULTS: ASCVD prevalence was 1,869/100,000 population. In total, 8,112 patients met inclusion criteria for the cost and CV event analyses. Among these patients, 4.0% experienced any event (myocardial infarction, stroke, coronary revascularization, hospitalization for unstable angina) in the year after ASCVD diagnosis, which decreased to 2.2% in year 2. First-year event rates were highest (22%) in patients with hACS. Mean [SD] all-cause costs per patient in year 1 were $7,031 [$14,359] for all patients with ASCVD combined. Extrapolated to the entire employed population, total first-year costs were estimated at $8.2 billion. CONCLUSIONS: ASCVD is not rare in Japan, even within a relatively young population of employed persons. Further, the total direct first-year cost burden of ASCVD in the employed Japanese population is high. These data may inform future economic assessments of new ASCVD treatments.

Relative food prices and obesity in US Metropolitan areas: 1976-2001.

This study investigates the impact of food price on obesity, by exploring the co-occurrence of obesity growth with relative food price reduction between 1976 and 2001. Analyses control for female labor participation and metropolitan outlet densities that might affect body weight. Both the first-difference and fixed effects approaches provide consistent evidence suggesting that relative food prices have substantial impacts on obesity and such impacts were more pronounced among the low-educated. These findings imply that relative food price reductions during the time period could plausibly explain about 18% of the increase in obesity among the U.S. adults in metropolitan areas.

Spatial mobility and environmental effects on obesity.

In this paper, we used a randomized experiment, the Moving to Opportunity for Fair Housing Demonstration (MTO) study, to assess whether several environmental attributes are causes of obesity. To accomplish our objective, we linked the MTO data with several external data sources that provide information on potential determinants of obesity including food prices, restaurant and food store availability, physical activity facility availability, the prevalence of crime and population density. We find that the environmental factors we examined are unable to explain the observed decrease in obesity associated with the MTO experiment among low-income minority women.

Factors associated with statin selection among privately insured commercial and Medicare patients.

OBJECTIVES: Given the availability of several statins in the United States, it is important to understand patient characteristics associated with their initiation. We analyzed demographic and clinical factors associated with statin selection among new statin users. METHODS: This retrospective cohort study examined factors associated with statin selection among patients newly initiated on therapy between 1/1/2007 and 12/31/2007. Commercial and Medicare patient cohorts were evaluated separately and comparisons were made between pravastatin (PS) and other statins including simvastatin (SS), atorvastatin (AS), or rosuvastatin (RS). Multiple logistic regression models were employed to assess factors associated with PS initiation versus other statins. RESULTS: In commercially insured patients, patients initiating PS were more likely to be older, female, and have diabetes mellitus, liver dysfunction, human immunodeficiency virus (HIV) infection, or hypertension and use calcium channel blockers, protease inhibitors, or additional lipid-modifying agents (p < 0.01 for each comparison). In Medicare-age patients, a higher percentage of PS initiators were aged 75-85, female, had atrial fibrillation, and were prescribed warfarin or triazole antifungals (p < 0.01 for each comparison). Presence of atrial fibrillation or HIV infection, or use of calcium channel blockers or additional lipid-modifying agents was associated with PS initiation compared with AS and SS. Use of warfarin was significantly associated with initiating PS compared with SS, AS, and RS in Medicare-age patients. CONCLUSION: Older age and female gender were associated with PS initiation. In addition, selected comorbidities and use of certain medications including warfarin or protease inhibitors were associated with PS initiation, which may reflect the tolerability of PS and its reduced risk of significant drug-drug interactions for certain patients. Because this study is a retrospective analysis of US healthcare claims, the findings are limited to only those factors captured within claims data and may not be generalizable to all patient populations in which statin therapy is initiated.

Medication dosing patterns associated with duloxetine and pregabalin among patients with fibromyalgia.

OBJECTIVE: To examine medication dosing patterns of duloxetine and pregabalin among patients with fibromyalgia. METHODS: From a large US administrative claims database, commercially insured fibromyalgia patients aged 18-64 who initiated duloxetine or pregabalin in 2006 were selected. Initiation was defined as a 90-day medication gap, with the dispense date of the first initiation as the index date. All patients selected had continuous enrollment over the 12-month pre- and post-index periods, and were classified into the duloxetine or pregabalin cohorts based on their index agent. Initial daily dose, average daily dose over the 12-month post-index period, mean and median daily doses and daily costs of each of the first 12 prescriptions were examined for both the duloxetine and pregabalin cohorts. RESULTS: Both the duloxetine (n = 3773) and pregabalin (n = 4189) cohorts had a mean age of 50 years (median age: 52 vs. 53). The average initial daily dose was 55.7 mg for duloxetine and 161.5 mg for pregabalin. Over the 12-month post-index period, the average daily dose per patient was 55.6 mg for duloxetine and 195.7 mg for pregabalin. The average daily doses for the first 12 duloxetine prescriptions ranged 55.7-60.3 mg, with the mean daily costs between $3.77 and $4.59. For the first 12 pregabalin prescriptions, the average daily dose increased from 161.5 mg to 282.4 mg, while the average daily costs ranged between $4.30-4.61. CONCLUSIONS: Among patients with fibromyalgia, duloxetine and pregabalin initiators had different dosing patterns. The average daily dose for duloxetine was relatively stable over time, while pregabalin patients had significant dose increase over the 12-month post-index period.

Economic burden of illness of acute coronary syndromes: medical and productivity costs.

BACKGROUND: The significant economic burden associated with acute coronary syndromes (ACS) provides a need to evaluate both medical costs and productivity costs, according to evolving guideline-driven ACS treatment strategies, medical management (MM), percutaneous coronary intervention (PCI), or coronary artery bypass graft (CABG). METHODS: Commercially insured individuals, aged 18-64, with an emergency room (ER) visit or hospitalization accompanied by an ACS diagnosis (index event) were identified from a large claims database between 01/2004 and 12/2005 with a 1-year follow-up period. Patients who had an ACS diagnosis in the 12 months prior to their index event were excluded. Patients were divided into 3 groups according to treatment strategies during the index event: MM, PCI, or CABG. A subset of patients was identified for the productivity cost analysis exploring short-term disability and absenteeism costs. Multivariate generalized linear models were performed to examine the ACS costs by 3 different treatment strategies. RESULTS: A total of 10,487 patients were identified for the medical cost analysis. The total 1-year medical costs (index event costs plus the 1-year follow-up costs) were lowest for MM patients ($34,087), followed by PCI patients ($52,673) and CABG patients ($86,914). Of the 3,080 patients in the productivity costs analysis, 2,454 patients were identified in the short-term disability cohort and 626 patients were identified in the absenteeism cohort. Both the estimated mean total 1-year short-term disability and absenteeism costs were highest for CABG patients ($17,335, $14,960, respectively) compared to MM patients ($6,048, $9,826, respectively) and PCI patients ($9,221, $9,460, respectively). CONCLUSIONS: Both total 1-year medical costs and 1-year productivity costs are substantial for working-aged individuals with ACS. These costs differ according to the type of treatment strategy, with CABG having higher costs compared to either PCI or MM.

Resource utilization and healthcare costs for acute coronary syndrome patients with and without diabetes mellitus.

OBJECTIVE: This study compared differences in healthcare costs and resource utilization for acute coronary syndrome (ACS) patients with and without diabetes mellitus (DM). METHODS: A retrospective cohort study of a large, US employer-based claims database identified adults hospitalized for ACS between 01/01/2005 and 12/31/2006 and categorized them based on DM status. Resource utilization and costs during the index hospitalization and in the 12-month follow-up period were compared for ACS patients with and without DM using the propensity score stratification bootstrapping method, adjusting for differences in demographic and clinical characteristics. RESULTS: Of 12,502 patients who met selection criteria, 3,040 (24%) had a history of DM and 9,462 (76%) did not. Patients with DM were older, female, and had higher rates of previous cardiovascular and renal diseases. After the propensity score stratification, patients with DM incurred higher index hospitalization costs ($32,577 vs. $29,150, p < 0.01) as well as higher total follow-up healthcare costs ($35,400 vs. $24,080, p < 0.01), including higher inpatient ($17,278 vs. $11,247, p < 0.01), outpatient ($12,357 vs. $8,853, p < 0.01), and pharmacy costs ($5,765 vs. $3,980, p < 0.01). LIMITATIONS: General limitations exist with any retrospective claims database analysis including potential diagnostic or procedural coding inaccuracies. Additionally, the patient population was representative of a working-age population with employer-sponsored health insurance and results may not be generalizable to other patient populations. CONCLUSIONS: DM is significantly associated with increased healthcare resource utilization and costs for ACS patients.

Food prices and fruit and vegetable consumption among young American adults.

Multivariate negative binomial count models were estimated to examine associations between young adults' fruit and vegetable (FV) consumption and the prices of FV, other food at home grocery items, and fast food and the availability of restaurants and food stores. This study used the 2002 wave of data collected from US young adults aged 18-23 years in the 1997 National Longitudinal Survey of Youth merged by geocode identifiers with food prices and restaurant and food store availability. The results showed that higher levels of FV consumption were associated with lower FV prices (price elasticity of -0.32) and that this own-price effect was robust to the inclusion of other food prices and food outlet availability. Lower income and lower educated young adults and those with lower educated mothers and middle-income parents were found to be most price sensitive. No statistically significant cross-price effects on FV consumption were found with other grocery food (meat, dairy and bread) prices or fast food prices. Fiscal policy instruments such as FV subsidies may help to increase FV intake, particularly among young adults of lower socioeconomic status.