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Introduction: Information on morbidity-related productivity losses attributable to cigarette smoking, an important component of the economic burden of cigarette smoking, is limited. This study fills this gap by estimating these costs in the U.S. and by state.Methods: A human capital approach was used to estimate the cost of the morbidity-related productivity losses (absenteeism, presenteeism, household productivity, and inability to work) attributable to cigarette smoking among adults aged ≥18 years in the U.S. and by state. A combination of data, including the 2014-2018 National Health Interview Survey, 2018 Current Population Survey Annual Social and Economic Supplement, 2018 Behavioral Risk Factor Surveillance System, 2018 value of daily housework, and literature-based estimate of lost productivity while at work (presenteeism), was used. Costs were estimated for 2018, and all analyses were conducted in 2021.Results: Estimated total cost of morbidity-related productivity losses attributable to cigarette smoking in the U.S. in 2018 was $184.9 billion. Absenteeism, presenteeism, home productivity, and the inability to work accounted for $9.4 billion, $46.8 billion, $12.8 billion, and $116.0 billion, respectively. State-level total costs ranged from $291 million to $16.9 billion with a median cost of $2.7 billion.Conclusions: The cost of morbidity-related productivity losses attributable to cigarette smoking in the U.S. and in each state was substantial in 2018 and varied across the states. These estimates can guide public health policymakers and practitioners planning and evaluating interventions designed to alleviate the burden of cigarette smoking at the state and national levels. [ABSTRACT FROM AUTHOR]

Background Information on the costs of inpatient care for patients with coronavirus disease 2019 (COVID-19) is very limited. This study estimates the per-patient cost of inpatient care for adult COVID-19 patients seen at >800 US hospitals. Methods Patients aged ≥18 years with ≥1 hospitalization during March 2020–July 2021 with a COVID-19 diagnosis code in a large electronic administrative discharge database were included. We used validated costs when reported; otherwise, costs were calculated using charges multiplied by cost-to-charge ratios. We estimated costs of inpatient care per patient overall and by severity indicator, age, sex, underlying medical conditions, and acute complications of COVID-19 using a generalized linear model with log link function and gamma distribution. Results The overall cost among 654673 patients hospitalized with COVID-19 was $16.2 billion. Estimated per-patient hospitalization cost was $24 826. Among surviving patients, estimated per-patient cost was $13 090 without intensive care unit (ICU) admission or invasive mechanical ventilation (IMV), $21 222 with ICU admission alone, and $59 742 with IMV. Estimated per-patient cost among patients who died was $27 017. Adjusted cost differential was higher among patients with certain underlying conditions (eg, chronic kidney disease [$12 391], liver disease [$8878], cerebrovascular disease [$7267], and obesity [$5933]) and acute complications (eg, acute respiratory distress syndrome [$43 912], pneumothorax [$25 240], and intracranial hemorrhage [$22 280]). Conclusions The cost of inpatient care for COVID-19 patients was substantial through the first 17 months of the pandemic. These estimates can be used to inform policy makers and planners and cost-effectiveness analysis of public health interventions to alleviate the burden of COVID-19. [ABSTRACT FROM AUTHOR]

Objective: Studies examining the use of smoking cessation treatment and related spending among enrollees with employer-sponsored health insurance are dated and limited in scope. We assessed changes in annual receipt of and spending on cessation medications approved by the US Food and Drug Administration (FDA) among tobacco users with employer-sponsored health insurance from 2010 to 2017. Methods: We analyzed data on 439 865 adult tobacco users in 2010 and 344 567 adult tobacco users in 2017 from the IBM MarketScan Commercial Database. We used a negative binomial regression to estimate changes in receipt of cessation medication (number of fills and refills and days of supply). We used a generalized linear model to estimate spending (total, employers', and out of pocket). In both models, covariates included year, age, sex, residence, and type of health insurance plan. Results: From 2010 to 2017, the percentage of adult tobacco users with employer-sponsored health insurance who received any cessation medication increased by 2.4%, from 15.7% to 16.1% (P <.001). Annual average number of fills and refills per user increased by 15.1%, from 2.5 to 2.9 (P <.001) and days of supply increased by 26.4%, from 81.9 to 103.5 (P <.001). The total annual average spending per user increased by 53.6%, from $286.40 to $440.00 (P <.001). Annual average out-of-pocket spending per user decreased by 70.9%, from $70.80 to $20.60 (P <.001). Conclusions: Use of smoking cessation medications is low among smokers covered by employer-sponsored health insurance. Opportunities exist to further increase the use of cessation medications by promoting the use of evidence-based cessation treatments and reducing barriers to coverage, including out-of-pocket costs. [ABSTRACT FROM AUTHOR]

Introduction: Since 2012, the Centers for Disease Control and Prevention has conducted the national Tips From Former Smokers® public education campaign, which motivates smokers to quit by featuring people living with the real-life health consequences of smoking. Cost effectiveness, from the healthcare sector perspective, of the Tips From Former Smokers® campaign was compared over 2012-2018 with that of no campaign.Methods: A combination of survey data from a nationally representative sample of U.S. adults that includes cigarette smokers and literature-based lifetime relapse rates were used to calculate the cumulative number of Tips From Former Smokers® campaign‒associated lifetime quits during 2012-2018. Then, lifetime health benefits (premature deaths averted, life years saved, and quality-adjusted life years gained) and healthcare sector cost savings associated with these quits were assessed. All the costs were adjusted for inflation in 2018 U.S. dollars. The Tips From Former Smokers® campaign was conducted and the survey data were collected during 2012-2018. Analyses were conducted in 2019.Results: During 2012-2018, the Tips From Former Smokers® campaign was associated with an estimated 129,100 premature deaths avoided, 803,800 life years gained, 1.38 million quality-adjusted life years gained, and $7.3 billion in healthcare sector cost savings on the basis of an estimated 642,200 campaign-associated lifetime quits. The Tips From Former Smokers® campaign was associated with cost savings per lifetime quit of $11,400, per life year gained of $9,100, per premature deaths avoided of $56,800, and per quality-adjusted life year gained of $5,300.Conclusions: Mass-reach health education campaigns, such as Tips From Former Smokers®, can help smokers quit, improve health outcomes, and potentially reduce healthcare sector costs. [ABSTRACT FROM AUTHOR]

Objective: We examined changes in glucose-lowering medication spending and quantified the magnitude of factors that are contributing to these changes.Research Design and Methods: Using the Medical Expenditure Panel Survey, we estimated the change in spending on glucose-lowering medications during 2005-2007 and 2015-2017 among adults aged ≥18 years with diabetes. We decomposed the increase in total spending by medication groups: for insulin, by human and analog; and for noninsulin, by metformin, older, newer, and combination medications. For each group, we quantified the contributions by the number of users and cost-per-user. Costs were in 2017 U.S. dollars.Results: National spending on glucose-lowering medications increased by $40.6 billion (240%), of which insulin and noninsulin medications contributed $28.6 billion (169%) and $12.0 billion (71%), respectively. For insulin, the increase was mainly associated with higher expenditures from analogs (156%). For noninsulin, the increase was a net effect of higher cost for newer medications (+88%) and decreased cost for older medications (-34%). Most of the increase in insulin spending came from the increase in cost-per-user. However, the increase in the number of users contributed more than cost-per-user in the rise of most noninsulin groups.Conclusions: The increase in national spending on glucose-lowering medications during the past decade was mostly associated with the increased costs for insulin, analogs in particular, and newer noninsulin medicines, and cost-per-user had a larger effect than the number of users. Understanding the factors contributing to the increase helps identify ways to curb the growth in costs. [ABSTRACT FROM AUTHOR]

OBJECTIVE While diabetic ketoacidosis (DKA) is common in youth at the onset of the diabetes, the excess costs associated with DKA are unknown. We aimed to quantify the health care services use and medical care costs related to the presence of DKA at diagnosis of diabetes. RESEARCH DESIGN AND METHODS We analyzed data from the U.S. MarketScan claims database for 4,988 enrollees aged 3–19 years insured in private fee-for-service plans and newly diagnosed with diabetes during 2010–2016. Youth with and without DKA at diabetes diagnosis were compared for mean health care service use (outpatient, office, emergency room, and inpatient visits) and medical costs (outpatient, inpatient, prescription drugs, and total) for 60 days prior to and 60 days after diabetes diagnosis. A two-part model using generalized linear regression and logistic regression was used to estimate medical costs, controlling for age, sex, rurality, health plan, year, presence of hypoglycemia, and chronic pulmonary condition. All costs were adjusted to 2016 dollars. RESULTS At diabetes diagnosis, 42% of youth had DKA. In the 60 days prior to diabetes diagnosis, youth with DKA at diagnosis had less health services usage (e.g., number of outpatient visits: −1.17; P < 0.001) and lower total medical costs (−$635; P < 0.001) compared with youth without DKA at diagnosis. In the 60 days after diagnosis, youth with DKA had significantly greater health care services use and health care costs ($6,522) compared with those without DKA. CONCLUSIONS Among youth with newly diagnosed diabetes, DKA at diagnosis is associated with significantly higher use of health care services and medical costs. [ABSTRACT FROM AUTHOR]

Objective: To examine changes in diabetes-related preventable hospitalization costs and to determine the contribution of each underlying factor to these changes.Research Design and Methods: We used data from the 2001-2014 U.S. National (Nationwide) Inpatient Sample (NIS) for adults (≥18 years old) to estimate the trends in hospitalization costs (2014 USD) in total and by condition (short-term complications, long-term complications, uncontrolled diabetes, and lower-extremity amputation). Using regression and growth models, we estimated the relative contribution of following underlying factors: total number of hospitalizations, rate of hospitalization, the number of people with diabetes, mean cost per admission, length of stay, and cost per day.Results: During 2001-2014, the estimated total cost of diabetes-related preventable hospitalizations increased annually by 1.6% (92.9 million USD; P < 0.001). Of this 1.6% increase, 75% (1.2%) was due to the increase in the number of hospitalizations, which is a result of a 3.8% increase in diabetes population and a 2.6% decrease in the hospitalization rate, and 25% (0.4%) was due to the increase in cost per admission, for a net result of a 1.6% increase in cost per day and a 1.3% decline in mean length of stay. By component, the cost of short-term complications, lower-extremity amputations, and long-term complications increased annually by 4.2, 1.9, and 1.5%, respectively, while the cost of uncontrolled diabetes declined annually by 2.6%.Conclusions: The total cost of diabetes-related preventable hospitalizations had been increasing during 2001-2014, mainly resulting from increases in number of people with diabetes and cost per hospitalization day. The underlying factors identified in our study could lead to efforts that may lower future hospitalization costs. [ABSTRACT FROM AUTHOR]

Objective: We assessed the excess medical expenditures for adults newly diagnosed with diabetes, for up to 10 years before and after diabetes diagnosis.Research Design and Methods: Using the 2001-2013 MarketScan data, we identified people with newly diagnosed diabetes among adults aged 25-64 years (diabetes cohort) and matched them with people who did not have diagnosed diabetes (control cohort) using 1:1 propensity score matching. We followed these two cohorts up to ±10 years from the index date, with annual matched cohort sizes ranging from 3,922 to 39,726 individuals. We estimated the yearly and cumulative excess medical expenditures of the diabetes cohorts before and after the diagnosis of diabetes.Results: The per capita annual total excess medical expenditure for the diabetes cohort was higher for the entire 10 years prior to their index date, ranging between $1,043 in year -10 and $4,492 in year -1. Excess expenditure spiked in year 1 ($8,109), declined in year 2, and then increased steadily, ranging from $4,261 to $6,162 in years 2-10. The cumulative excess expenditure for the diabetes cohort during the entire 20 years of follow-up was $69,177 ($18,732 before and $50,445 after diagnosis).Conclusions: People diagnosed with diabetes had higher medical expenditures compared with their counterparts, not only after diagnosis but also up to 10 years prior to diagnosis. Managing risk factors for type 2 diabetes and cardiovascular disease before diagnosis, and for diabetes-related complications after diagnosis, could alleviate medical expenditure in people with diabetes. [ABSTRACT FROM AUTHOR]

Objective: To estimate direct medical and indirect costs attributable to diabetes in each U.S. state in total and per person with diabetes.Research Design and Methods: We used an attributable fraction approach to estimate direct medical costs using data from the 2013 State Health Expenditure Accounts, 2013 Behavioral Risk Factor Surveillance System, and the Centers for Medicare & Medicaid Services' 2013-2014 Minimum Data Set. We used a human capital approach to estimate indirect costs measured by lost productivity from morbidity (absenteeism, presenteeism, lost household productivity, and inability to work) and premature mortality, using the 2008-2013 National Health Interview Survey, 2013 daily housework value data, 2013 mortality data from the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research, and mean wages from the 2014 Bureau of Labor Statistics. Costs were adjusted to 2017 U.S. dollars.Results: The estimated median state economic cost was $5.9 billion, ranging from $694 million to $55.5 billion, in total and $18,248, ranging from $15,418 to $30,915, per person with diabetes. The corresponding estimates for direct medical costs were $2.8 billion (range $0.3-22.9) and $8,544 (range $6,591-12,953) and for indirect costs were $3.0 billion (range $0.4-32.6) and $9,672 (range $7,133-17,962). In general, the estimated state median indirect costs resulting from morbidity were larger than costs from mortality both in total and per person with diabetes.Conclusions: Economic costs attributable to diabetes were large and varied widely across states. Our comprehensive state-specific estimates provide essential information needed by state policymakers to monitor the economic burden of the disease and to better plan and evaluate interventions for preventing type 2 diabetes and managing diabetes in their states. [ABSTRACT FROM AUTHOR]

Background: In recent decades, the United States experienced increasing prevalence and incidence of diabetes, accompanied by large disparities in county-level diabetes prevalence and incidence. However, whether these disparities are widening, narrowing, or staying the same has not been studied. We examined changes in disparity among U.S. counties in diagnosed diabetes prevalence and incidence between 2004 and 2012. Methods: We used 2004 and 2012 county-level diabetes (type 1 and type 2) prevalence and incidence data, along with demographic, socio-economic, and risk factor data from various sources. To determine whether disparities widened or narrowed over the time period, we used a regression-based β-convergence approach, accounting for spatial autocorrelation. We calculated diabetes prevalence/incidence percentage point (ppt) changes between 2004 and 2012 and modeled these changes as a function of baseline diabetes prevalence/incidence in 2004. Covariates included county-level demographic and, socio-economic data, and known type 2 diabetes risk factors (obesity and leisure-time physical inactivity). Results: For each county-level ppt increase in diabetes prevalence in 2004 there was an annual average increase of 0.02 ppt (p<0.001) in diabetes prevalence between 2004 and 2012, indicating a widening of disparities. However, after accounting for covariates, diabetes prevalence decreased by an annual average of 0.04 ppt (p<0.001). In contrast, changes in diabetes incidence decreased by an average of 0.04 ppt (unadjusted) and 0.09 ppt (adjusted) for each ppt increase in diabetes incidence in 2004, indicating a narrowing of county-level disparities. Conclusions: County-level disparities in diagnosed diabetes prevalence in the United States widened between 2004 and 2012, while disparities in incidence narrowed. Accounting for demographic and, socio-economic characteristics and risk factors for type 2 diabetes narrowed the disparities, suggesting that these factors are strongly associated with changes in disparities. Public health interventions that target modifiable risk factors, such as obesity and physical inactivity, in high burden counties might further reduce disparities in incidence and, over time, in prevalence. [ABSTRACT FROM AUTHOR]

Introduction Most e-cigarettes contain highly addictive nicotine. This study assessed trends in nicotine strength in e-cigarettes sold in the United States during January 2017–March 2022. Aims and Methods We obtained January 2017–March 2022 national retail e-cigarette sales data from NielsenIQ. We assessed monthly average nicotine strength overall, by e-cigarette product and flavor type, and manufacturer. A Joinpoint regression model assessed the magnitude and significance of changes in nicotine strength. Results During January 2017–March 2022, monthly average nicotine strength of e-cigarette products increased from 2.5% to 4.4%, an average of 0.8% per month (p  < .001). Monthly average nicotine strength of disposable e-cigarettes increased the most (average monthly percentage change [AMPC] = 1.26%, p  < .001) as compared to prefilled pods (AMPC = 0.6%, p  < .001) and e-liquids (AMPC = 0.5%, p  = .218). Monthly average nicotine strength for all flavors of e-cigarette products increased except for mint-flavored products. Increases were greatest for beverage-flavored products (AMPC = 2.1%, p  < .001), followed by menthol-flavored products (AMPC = 1.2%, p  < .001). Among the top 10 e-cigarette manufacturers assessed, monthly average nicotine strength decreased for Juul Labs products from 5% to 4.7% (AMPC = −0.1%, p  < .001) but increased significantly for five manufacturers' products and remained unchanged at 5%–6% for four manufacturers' products. Conclusions Monthly average nicotine strength of e-cigarette products increased overall, for most product and flavor types, and for some manufacturers in the United States during the study period. Imposing maximum limits on nicotine strength of e-cigarettes together with other evidence-based tobacco control strategies can help reduce the use of e-cigarettes among youth and increase tobacco product cessation among adults. Implications From January 2017 to March 2022, the monthly average nicotine strength of disposable e-cigarettes increased substantially and exceeded prefilled pods since May 2020. E-cigarettes with menthol flavor and youth-appealing flavors, like fruit, also had sharp increases in monthly average nicotine strength. Among the top 10 e-cigarette manufacturers, monthly average nicotine strength increased or remained unchanged at a high nicotine level for all manufacturers' products, except Juul Lab's products. Comprehensive strategies including restricting sales of all flavored e-cigarettes, restricting youth tobacco product access, and imposing maximum limits on nicotine strength may help reduce youth e-cigarette use and increase tobacco cessation. [ABSTRACT FROM AUTHOR]

The article discusses the results of a study on the participation of privately insured adults in diabetes self-management education and training (DSMT) after early diagnosis of diabetes in the U.S. Topics highlighted include the barriers to participation in DSMT, additional quality indicators for diabetes care, rates of participation in DMST, characteristics of participants, and limitations of the study.

Abstract: Aim: We aimed at estimating excess medical expenditures associated with major depressive disorder (MDD) among working-age adults diagnosed with diabetes, disaggregated by treatment mode: insulin-treated diabetes (ITDM) or non-insulin-treated diabetes (NITDM). Methods: We analyzed data for over 500,000 individuals with diagnosed diabetes from the 2008 U.S. MarketScan claims database. We grouped diabetic patients first by treatment mode (ITDM or NITDM), then by MDD status (with or without MDD), and finally by whether those with MDD used antidepressant medication. We estimated annual mean excess outpatient, inpatient, prescription drug, and total expenditures using regression models, controlling for demographics, types of health coverage, and comorbidities. Results: Among persons having ITDM, the estimated annual total mean expenditure for those with no MDD (the comparison group) was $19,625. For those with MDD, the expenditures were $12,406 (63%) larger if using antidepressant medication and $7322 (37%) larger if not using antidepressant medication. Among persons having NITDM, the corresponding estimated expenditure for the comparison group was $10,746, the excess expenditures were $10,432 (97%) larger if using antidepressant medication and $5579 (52%) larger if not using antidepressant medication, respectively. Inpatient excess expenditures were the largest of total excess expenditure for those with ITDM and MDD treated with antidepressant medication; for all others with diabetes and MDD, outpatient expenditures were the largest excess expenditure. Conclusions: Among working-age adults with diabetes, MDD was associated with substantial excess medical expenditures. Implementing the effective interventions demonstrated in clinical trials and treatment guidelines recommended by professional organizations might reduce the economic burden of MDD in this population. [Copyright &y& Elsevier]

In April 2009, the United States began a response to the emergence of a pandemic influenza virus strain: A(H1N1) pdm09. Vaccination began in October 2009. By using US surveillance data (April 12, 2009-April 10, 2010) and vaccine coverage estimates (October 3, 2009-April 18, 2010), we estimated that the A(H1N1)pdm09 virus vaccination program prevented 700,000-1,500,000 clinical cases, 4,000-10,000 hospitalizations, and 200-500 deaths. We found that the national health effects were greatly influenced by the timing of vaccine administration and the effectiveness of the vaccine. We estimated that recommendations for priority vaccination of targeted priority groups were not inferior to other vaccination prioritization strategies. These results emphasize the need for relevant surveillance data to facilitate a rapid evaluation of vaccine recommendations and effects. [ABSTRACT FROM AUTHOR]

OBJECTIVE--To estimate, among privately insured youth in the U.S., medical expenditures associated with diabetes and the difference in medical expenditures between individuals with insulin-treated diabetes mellitus (ITDM) and with non-ITDM (NITDM). RESEARCH DESIGN AND METHODS--Using the 2007 MarketScan commercial claims and encounter database, we analyzed data for 49,356 youth (aged ≤ 19 years) who were continuously enrolled in fee-for-service health plans. Youth with diabetes (cases) were identified from inpatient, outpatient, and pharmaceutical drug claims. Each case was matched with five controls (without diabetes) by age (± 2 years), sex, census region, and urban versus rural residence. We used regression models to estimate medical expenditures in total and by component (inpatient, outpatient, and medication). RESULTS--The predicted mean annual total per-person medical expenditures were $9,061 for youth with diabetes and $1,468 for those without, an excess of $7,593 for those with diabetes: of which, 43% was for prescription drugs. The predicted mean annual total expenditures were $9333 for ITDM youth and $5,683 for NITDM youth, respectively, an excess of $3,650 for those with ITDM diabetes, of which 59%,6 was for prescription drugs. CONCLUSIONS--The excess medical expenditures associated with diabetes, ITDM in particular, among youth are substantial. Our estimates of excess expenditures can be used to assess the economic burden of diabetes overall and by diabetes treatment mode. Our estimated excess expenditure for NITDM may be used for evaluating the economic efficiency of interventions aimed at preventing type 2 diabetes in U.S. youth. [ABSTRACT FROM AUTHOR]

OBJECTIVE -- To estimate medical expenditures attributable to diabetes ketoacidosis (DKA) and severe hypoglycemia among privately insured insulin-treated U.S. youth with diabetes. RESEARCH DESIGN AND METHODS -- We analyzed the insurance claims of 7,556 youth, age ≤19 years, with insulin-treated diabetes. The youth were continuously enrolled in fee-for-service health plans, and claims were obtained from the 2007 U.S. MarketScan Commercial Claims and Encounter database. We used regression models to estimate total medical expenditures and their subcomponents: outpatient, inpatient, and drug expenditures. The excess expenditures associated with DKA and severe hypoglycemia were estimated as the difference between predicted medical expenditures for youth who did/did not experience either DKA or severe hypoglycemia. RESULTS -- For youth with and without DKA, respectively, predicted mean annual total medical expenditures were $14,236 and $8,398 (an excess of $5,837 for those with DKA). The excess was statistically greater for those with one or more episodes of DKA ($8,455) than among those with only one episode ($3,554). Predicted mean annual total medical expenditures were $12,850 and $8,970 for youth with and without severe hypoglycemia, respectively (an excess of $3,880 for those with severe hypoglycemia). The excess was greater among those with one or more episodes ($5,929) than among those with only one ($2,888). CONCLUSIONS -- Medical expenditures for potentially preventable DKA and severe hypoglycemia in U.S. youth with insulin-treated diabetes are substantial. Improving the quality of care for these youth to prevent the development of these two complications could avert substantial U.S. health care expenditures. [ABSTRACT FROM AUTHOR]

Abstract: Pediatric vaccine stockpiles have been in place in the U.S. since 1983 to address the potential disruption in supply of routine pediatric vaccines. Increases in the number of vaccines recommended for pediatric and adolescent patients have increased the cost of stocking and maintaining the stockpile. Based on a spreadsheet-based model (VacStockpile) we developed, we estimated potential supply shortages of 14 stockpiled vaccines as of August 1, 2008 and its health and financial impacts under various shortage and stockpile scenarios. To illustrate the implications of policy options, we compared “high” to “low” stockpile scenarios. The high stockpile scenario ensures a 6-month vaccine supply to vaccinate all children according to recommended schedules. The low scenario comprised of 50% of the high scenario or existing stocks, whichever is smaller. For each vaccine, we used a weighted average of five shortage scenarios ranging from 0% to 100%, in 25% increments. Demand for each vaccine was based on current distribution or birth cohort size. The probabilities of shortages were based on number of manufacturers, market stability, history of manufacturing problems, and production complexity. CDC contract prices were used to estimate costs. Expert opinion and literature provided estimates of health impacts due to shortages. Applying the probabilities of shortages to all vaccines in a single year, the “low” scenario could cost $600 million, with 376,000 vaccine-preventable cases occurring and 1774 deaths. The “high” scenario could cost $2 billion, with an additional $1.6 billion initial stocking, and result in 7100 vaccine-preventable cases occurring and 508 deaths. Based on the assumptions in the model, there is the potential for large differences in outcomes between the scenarios although some outcomes could potentially be averted with measures such as catch-up campaigns after shortages. Using the VacStockpile policy makers can readily evaluate the implications of assumptions and decide which set of assumptions they wish to use in planning. [Copyright &y& Elsevier]

Objectives. Two powerful socioeconomic innovations are sweeping the nation, led by Wal-Mart Stores, Inc. and Starbucks Corp. These innovations both affect and are driven by profound labor market changes, but exactly how they affect self-employment or entrepreneurship has not been investigated. We examine the independent effects of these phenomena on the returns to self-employment, which is itself an underresearched topic in labor economics. Methods. We apply spatial econometric analysis to data from more than 3,000 U.S. counties to analyze how big-boxes and drinking places that facilitate social networking affect self-employment earnings. Findings. The presence of Wal-Mart stores is associated with higher returns to self-employment, whereas the results for coffee shops and drinking places are mixed. A negative interaction effect on earnings emerges when Wal-Mart stores and drinking places exist in the same county. Conclusions. We confirm both Schumpeter's and Putnam's assertions about the importance of creative destruction and social networking in raising the productivity of entrepreneurs, although the latter effect is not as clear-cut as the former. [ABSTRACT FROM AUTHOR]

Despite the surging interest in entrepreneurship as an economic development strategy, studies of the independent relationship between proprietorship formations and job growth are virtually nonexistent. We find that self-employment or proprietorship rates are associated with faster job growth in the wage-and-salary sector, and the effect is statistically significant. The relative magnitude of this effect varies with the business cycle, being stronger during economic expansions and weaker during contractions. Further, the effect is stronger in metropolitan than in non-metropolitan counties. [ABSTRACT FROM AUTHOR]

Introduction: Cigarette smoking continues to be the leading cause of preventable disease and death in the U.S. Smoking also carries an economic burden, including smoking-attributable healthcare spending. This study assessed smoking-attributable fractions in healthcare spending between 2010 and 2014, overall and by insurance type (Medicaid, Medicare, private, out-of-pocket, other federal, other) and by medical service (inpatient, non-inpatient, prescriptions).Methods: Data were obtained from the 2010-2014 Medical Expenditure Panel Survey linked to the 2008-2013 National Health Interview Survey. The final sample (n = 49,540) was restricted to non-pregnant adults aged 18 years or older. Estimates from two-part models (multivariable logistic regression and generalized linear models) and data from 2014 national health expenditures were combined to estimate the share of and total (in 2014 dollars) annual healthcare spending attributable to cigarette smoking among U.S. adults. All models controlled for socio-demographic characteristics, health-related behaviors, and attitudes.Results: During 2010-2014, an estimated 11.7% (95% CI = 11.6%, 11.8%) of U.S. annual healthcare spending could be attributed to adult cigarette smoking, translating to annual healthcare spending of more than $225 billion dollars based on total personal healthcare expenditures reported in 2014. More than 50% of this smoking-attributable spending was funded by Medicare or Medicaid. For Medicaid, the estimated healthcare spending attributable fraction increased more than 30% between 2010 and 2014.Conclusions: Cigarette smoking exacts a substantial economic burden in the U.S. Continuing efforts to implement proven population-based interventions have been shown to reduce the health and economic burden of cigarette smoking nationally. [ABSTRACT FROM AUTHOR]

Objective: While diabetic ketoacidosis (DKA) is common in youth at the onset of the diabetes, the excess costs associated with DKA are unknown. We aimed to quantify the health care services use and medical care costs related to the presence of DKA at diagnosis of diabetes.Research Design and Methods: We analyzed data from the U.S. MarketScan claims database for 4,988 enrollees aged 3-19 years insured in private fee-for-service plans and newly diagnosed with diabetes during 2010-2016. Youth with and without DKA at diabetes diagnosis were compared for mean health care service use (outpatient, office, emergency room, and inpatient visits) and medical costs (outpatient, inpatient, prescription drugs, and total) for 60 days prior to and 60 days after diabetes diagnosis. A two-part model using generalized linear regression and logistic regression was used to estimate medical costs, controlling for age, sex, rurality, health plan, year, presence of hypoglycemia, and chronic pulmonary condition. All costs were adjusted to 2016 dollars.Results: At diabetes diagnosis, 42% of youth had DKA. In the 60 days prior to diabetes diagnosis, youth with DKA at diagnosis had less health services usage (e.g., number of outpatient visits: -1.17; P < 0.001) and lower total medical costs (-$635; P < 0.001) compared with youth without DKA at diagnosis. In the 60 days after diagnosis, youth with DKA had significantly greater health care services use and health care costs ($6,522) compared with those without DKA.Conclusions: Among youth with newly diagnosed diabetes, DKA at diagnosis is associated with significantly higher use of health care services and medical costs. [ABSTRACT FROM AUTHOR]

Introduction: The coexistence of diabetes among people with acute myocardial infarction (AMI) or acute ischemic stroke (AIS) is common. However, little is known about the extent of excess medical expenditures associated with having diabetes among AMI and AIS patients.Methods: Data on 3,307 AMI patients and 2,460 AIS patients aged ≥18 years from the 2008 to 2014 Medical Expenditure Panel Survey were analyzed. Per capita annual medical expenditures associated with diabetes were separately estimated by healthcare components with generalized linear models and two-part models. Excess expenditure associated with diabetes is the difference between estimated expenditure conditional on having both diabetes and AMI (or AIS) and the estimated expenditure conditional on having AMI (or AIS) but not diabetes. All expenditures were adjusted to 2014 U.S. dollars. The analysis was conducted in 2017.Results: Per capita annual total excess expenditures associated with diabetes were $5,117 (95% CI=$4,989, $5,243) for AMI patients and $5,734 (95% CI=$5,579, $5,887) for AIS patients. Of the total excess expenditures, prescription drugs accounted for 40% among AMI patients and 42% among AIS patients. Higher expenditures associated with diabetes were explained more by higher volume of utilization than higher per unit expenditures.Conclusions: Excess expenditures associated with diabetes were substantial among both AMI and AIS patients. These results highlight the needs for both prevention and better management of diabetes among AMI and AIS patients, which in turn may lower the financial burden of treating these conditions. [ABSTRACT FROM AUTHOR]

Rationale & objective: As the prevalence of obesity continues to rise in the United States, it is important to understand its impact on the lifetime risk of chronic kidney disease (CKD). Study design: The CKD Health Policy Model was used to simulate the lifetime risk of CKD for those with and without obesity at baseline. Model structure was updated for glomerular filtration rate (GFR) decline to incorporate new longitudinal data from the Chronic Renal Insufficiency Cohort (CRIC) study. Setting and population: The updated model was populated with a nationally representative cohort from National Health and Nutrition Examination Survey (NHANES). Outcomes: Lifetime risk of CKD, highest stage and any stage. Model, perspective, & timeframe: Simulation model following up individuals from current age through death or age 90 years. Results: Lifetime risk of any CKD stage was 32.5% (95% CI 28.6%–36.3%) for persons with normal weight, 37.6% (95% CI 33.5%–41.7%) for persons who were overweight, and 41.0% (95% CI 36.7%–45.3%) for persons with obesity at baseline. The difference between persons with normal weight and persons with obesity at baseline was statistically significant (p<0.01). Lifetime risk of CKD stages 4 and 5 was higher for persons with obesity at baseline (Stage 4: 2.1%, 95% CI 0.9%–3.3%; stage 5: 0.6%, 95% CI 0.0%–1.1%), but the differences were not statistically significant (stage 4: p = 0.08; stage 5: p = 0.23). Limitations: Due to limited data, our simulation model estimates are based on assumptions about the causal pathways from obesity to CKD, diabetes, and hypertension. Conclusions: The results of this study indicate that obesity may have a large impact on the lifetime risk of CKD. This is important information for policymakers seeking to set priorities and targets for CKD prevention and treatment. [ABSTRACT FROM AUTHOR]

To calculate the burden of 2009 pandemic influenza A (pH1N1) in the United States, we extrapolated from the Centers for Disease Control and Prevention's Emerging Infections Program laboratory-confirmed hospitalizations across the entire United States, and then corrected for underreporting. From 12 April 2009 to 10 April 2010, we estimate that approximately 60.8 million cases (range: 43.3–89.3 million), 274 304 hospitalizations (195 086–402 719), and 12 469 deaths (8868–18 306) occurred in the United States due to pH1N1. Eighty-seven percent of deaths occurred in those under 65 years of age with children and working adults having risks of hospitalization and death 4 to 7 times and 8 to 12 times greater, respectively, than estimates of impact due to seasonal influenza covering the years 1976–2001. In our study, adults 65 years of age or older were found to have rates of hospitalization and death that were up to 75% and 81%, respectively, lower than seasonal influenza. These results confirm the necessity of a concerted public health response to pH1N1. [ABSTRACT FROM PUBLISHER]

Aims: To estimate the prevalence and medical expenditures of diabetes-related complications (DRCs) among adult Medicaid enrollees with diabetes.Methods: We estimated the prevalence and medical expenditures for 12 diabetes-related complications by Medicaid eligibility category (disability-based vs. non-disability-based) in eight states. We used generalized linear models with log link and gamma distribution to estimate the total per-person annual medical expenditures for DRCs, controlling for demographics, and other comorbidities.Results: Among non-disability-based enrollees (NDBEs), 40.1% (in California) to 47.5% (in Oklahoma) had one or more DRCs, compared to 53.6% (in Alabama) to 64.8% (in Florida) among disability-based enrollees (DBEs). The most prevalent complication was neuropathy (16.1%-27.1% for NDBEs; 20.2%-30.4% for DBEs). Lower extremity amputation (<1% for both eligibilities) was the least prevalent complication. The costliest per-person complication was dialysis (per-person excess annual expenditure of $22,481-$41,298 for NDBEs; $23,569-$51,470 for DBEs in 2012 USD). Combining prevalence and per-person excess expenditures, the three costliest complications were nephropathy, heart failure, and ischemic heart disease (IHD) for DBEs, compared to neuropathy, nephropathy, and IHD for NDBEs.Conclusions: Our study provides data that can be used for assessing the health care resources needed for managing DRCs and evaluating cost-effectiveness of interventions to prevent and management DRCs. [ABSTRACT FROM AUTHOR]

The article reports on the diabetes-related out of pocket expenses (OOPEs) for families of adolescents and young adults with type 1 diabetes from the SEARCH for Diabetes in Youth (SEARCH) study and their association with demographic, socioeconomic, clinical, and health care characteristics. Topics discussed include adjusted association of OOPEs presented as an OOPE rate relative to the reference group, finding on most adolescents and youth with type 1 diabetes, and limitations of the study.

Objective: To estimate the diabetes-attributable nursing home costs for each state.Research Design and Methods: We used a diabetes-attributable fraction (AF) approach to estimate nursing home costs attributable to diabetes (in 2013 dollars) in aggregate and per person with diabetes in each state. We calculated the AFs as the difference in diabetes prevalence between nursing homes and the community. We used the Centers for Medicare & Medicaid Services 2013-2015 Minimum Data Set to estimate the prevalence of diabetes in nursing homes and to adjust for the intensity of care among people with diabetes in nursing homes. Community prevalence was estimated using the Behavioral Risk Factor Surveillance System (BRFSS). State nursing home expenditures were from the 2013 State Health Expenditure Accounts.Results: The fraction of total nursing home expenditures attributable to diabetes ranged from 12.3% (Illinois) to 22.5% (Washington, DC; median AF of 15.6%, New Jersey). The median AF was highest in the 19-64 years age-group and lowest in the 85 years or older age-group. Nationally, diabetes-attributable nursing home costs were $18.6 billion. State-level diabetes-attributable costs ranged from $21 million in Alaska to $2.0 billion in California. Diabetes-attributable nursing home costs per person ranged from $374 in New Mexico to $1,610 in Washington, DC (median of $799 in Maine).Conclusions: Our estimates provide state policymakers with an improved understanding of the economic burden of diabetes in each state's nursing homes. These estimates could serve as critical inputs for planning and evaluating diabetes prevention and management interventions that can keep people healthier and living longer in their communities. [ABSTRACT FROM AUTHOR]

Background: Although major guidelines uniformly recommend iron supplementation and erythropoietin stimulating agents (ESAs) for managing chronic anemia in persons with chronic kidney disease (CKD), there are differences in the recommended hemoglobin (Hb) treatment target and no guidelines consider the costs or cost-effectiveness of treatment. In this study, we explored the most cost-effective Hb target for anemia treatment in persons with CKD stages 3–4. Methods and Findings: The CKD Health Policy Model was populated with a synthetic cohort of persons over age 30 with prevalent CKD stages 3–4 (i.e., not on dialysis) and anemia created from the 1999–2010 National Health and Nutrition Examination Survey. Incremental cost-effectiveness ratios (ICERs), computed as incremental cost divided by incremental quality adjusted life years (QALYs), were assessed for Hb targets of 10 g/dl to 13 g/dl at 0.5 g/dl increments. Targeting a Hb of 10 g/dl resulted in an ICER of $32,111 compared with no treatment and targeting a Hb of 10.5 g/dl resulted in an ICER of $32,475 compared with a Hb target of 10 g/dl. QALYs increased to 4.63 for a Hb target of 10 g/dl and to 4.75 for a target of 10.5 g/dl or 11 g/dl. Any treatment target above 11 g/dl increased medical costs and decreased QALYs. Conclusions: In persons over age 30 with CKD stages 3–4, anemia treatment is most cost-effective when targeting a Hb level of 10.5 g/dl. This study provides important information for framing guidelines related to treatment of anemia in persons with CKD. [ABSTRACT FROM AUTHOR]