Estimating the Economic Burden Related to Older Adult Falls by State.

OBJECTIVE: Unintentional falls in older adults (persons 65 years of age and older) impose a significant economic burden on the health care system. Methods for calculating state-specific health care costs are limited. This study describes 2 methods to estimate state-level direct medical spending due to older adult falls and explains their differences, advantages, and limitations. DESIGN: The first method, partial attributable fraction, applied a national attributable fraction to the total state health expenditure accounts in 2014 by payer type (Medicare, Medicaid, and private insurance). The second method, count applied to cost, obtained 2014 state counts of older adults treated and released from an emergency department and hospitalized because of a fall injury. The counts in each state were multiplied by the national average lifetime medical costs for a fall-related injury from the Web-based Injury Statistics Query and Reporting System. Costs are reported in 2014 US dollars. SETTING: United States. PARTICIPANTS: Older adults. MAIN OUTCOME MEASURE: Health expenditure on older adult falls by state. RESULTS: The estimate from the partial attributable fraction method was higher than the estimate from the count applied to cost method for all states compared, except Utah. Based on the partial attributable fraction method, in 2014, total personal health care spending for older adult falls ranged from $48 million in Alaska to $4.4 billion in California. Medicare spending attributable to older adult falls ranged from $22 million in Alaska to $3.0 billion in Florida. For the count applied to cost method, available for 17 states, the lifetime medical costs of 2014 fall-related injuries ranged from $68 million in Vermont to $2.8 billion in Florida. CONCLUSIONS: The 2 methods offer states options for estimating the economic burden attributable to older adult fall injuries. These estimates can help states make informed decisions about how to allocate funding to reduce falls and promote healthy aging.

The Economic Burden of Prescription Opioid Overdose, Abuse, and Dependence in the United States, 2013.

IMPORTANCE: It is important to understand the magnitude and distribution of the economic burden of prescription opioid overdose, abuse, and dependence to inform clinical practice, research, and other decision makers. Decision makers choosing approaches to address this epidemic need cost information to evaluate the cost effectiveness of their choices. OBJECTIVE: To estimate the economic burden of prescription opioid overdose, abuse, and dependence from a societal perspective. DESIGN, SETTING, AND PARTICIPANTS: Incidence of fatal prescription opioid overdose from the National Vital Statistics System, prevalence of abuse and dependence from the National Survey of Drug Use and Health. Fatal data are for the US population, nonfatal data are a nationally representative sample of the US civilian noninstitutionalized population ages 12 and older. Cost data are from various sources including health care claims data from the Truven Health MarketScan Research Databases, and cost of fatal cases from the WISQARS (Web-based Injury Statistics Query and Reporting System) cost module. Criminal justice costs were derived from the Justice Expenditure and Employment Extracts published by the Department of Justice. Estimates of lost productivity were based on a previously published study. EXPOSURE: Calendar year 2013. MAIN OUTCOMES AND MEASURES: Monetized burden of fatal overdose and abuse and dependence of prescription opioids. RESULTS: The total economic burden is estimated to be $78.5 billion. Over one third of this amount is due to increased health care and substance abuse treatment costs ($28.9 billion). Approximately one quarter of the cost is borne by the public sector in health care, substance abuse treatment, and criminal justice costs. CONCLUSIONS AND RELEVANCE: These estimates can assist decision makers in understanding the magnitude of adverse health outcomes associated with prescription opioid use such as overdose, abuse, and dependence.

Changes in the medical management of patients on opioid analgesics following a diagnosis of substance abuse.

PURPOSE: When providers recognize that patients are abusing prescription drugs, review of the drugs they are prescribed and attempts to treat the substance use disorder are warranted. However, little is known about whether prescribing patterns change following such a diagnosis. METHODS: We used national longitudinal health claims data from the Market Scan® commercial claims database for January 2010-June 2011. We used a cohort of 1.85 million adults 18-64 years old prescribed opioid analgesics but without abuse diagnoses during a 6-month "preabuse" period. We identified a subset of 9009 patients receiving diagnoses of abuse of non-illicit drugs (abuse group) during a 6-month "abuse" period and compared them with patients without such a diagnosis (nonabuse group) during both the abuse period and a subsequent 6-month "postabuse" period. RESULTS: During the abuse period 5.78% of the abuse group and 0.14% of the nonabuse group overdosed. Overdose rates declined to 2.12% in the abuse group in the postabuse period. Opioid prescribing rates declined 13.5%, and benzodiazepine rates declined 12.3% in the abuse group in the post-abuse period. Antidepressants and gabapentin were prescribed to roughly one half and one quarter of the abuse group, respectively, during all three periods. Daily opioid dosage did not decline in the abuse group following diagnosis. CONCLUSIONS: Prescribing to people who abuse drugs changes little after their abuse is documented. Actions such as tapering opioid and benzodiazepine prescriptions, maximizing alternative treatments for pain, and greater use of medication-assisted treatment such as buprenorphine could help reduce risk in this population. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.

Costs of Fatal and Nonfatal Firearm Injuries in the U.S., 2019 and 2020.

INTRODUCTION: Firearm-related injuries are among the five leading causes of death for people aged 1-44 years in the U.S. The immediate and long-term harms of firearm injuries pose an economic burden on society. Fatal and nonfatal firearm injury costs in the U.S. were estimated providing up-to-date economic burden estimates. METHODS: Counts of nonfatal firearm injuries were obtained from the 2019-2020 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample. Data on nonfatal injury intent were obtained from the National Electronic Injury Surveillance System - Firearm Injury Surveillance System. Counts of deaths (firearm as underlying cause) were obtained from the 2019-2020 multiple cause-of-death mortality data from the National Vital Statistics System. Analyses were conducted in 2023. RESULTS: The total cost of firearm related injuries and deaths in the U.S. for 2020 was $493.2 billion, a 16 percent increase compared with 2019. There are significant disparities in the cost of firearm deaths in 2019-2020, with non-Hispanic Black people, males, and young and middle-aged groups being the most affected. CONCLUSIONS: Most of the nonfatal firearm injury-related costs are attributed to hospitalization. These findings highlight the racial/ethnic differences in fatal firearm injuries and the disproportionate cost burden to urban areas. Addressing this important public health problem can help ameliorate the costs to our society from the rising rates of firearm injuries.

Impact of business cycles on US suicide rates, 1928-2007.

OBJECTIVES: We examined the associations of overall and age-specific suicide rates with business cycles from 1928 to 2007 in the United States. METHODS: We conducted a graphical analysis of changes in suicide rates during business cycles, used nonparametric analyses to test associations between business cycles and suicide rates, and calculated correlations between the national unemployment rate and suicide rates. RESULTS: Graphical analyses showed that the overall suicide rate generally rose during recessions and fell during expansions. Age-specific suicide rates responded differently to recessions and expansions. Nonparametric tests indicated that the overall suicide rate and the suicide rates of the groups aged 25 to 34 years, 35 to 44 years, 45 to 54 years, and 55 to 64 years rose during contractions and fell during expansions. Suicide rates of the groups aged 15 to 24 years, 65 to 74 years, and 75 years and older did not exhibit this behavior. Correlation results were concordant with all nonparametric results except for the group aged 65 to 74 years. CONCLUSIONS: Business cycles may affect suicide rates, although different age groups responded differently. Our findings suggest that public health responses are a necessary component of suicide prevention during recessions.

Medical Costs of Fatal and Nonfatal Falls in Older Adults.

OBJECTIVES: To estimate medical expenditures attributable to older adult falls using a methodology that can be updated annually to track these expenditures over time. DESIGN: Population data from the National Vital Statistics System (NVSS) and cost estimates from the Web-based Injury Statistics Query and Reporting System (WISQARS) for fatal falls, quasi-experimental regression analysis of data from the Medicare Current Beneficiaries Survey (MCBS) for nonfatal falls. SETTING: U.S. population aged 65 and older during 2015. PARTICIPANTS: Fatal falls from the 2015 NVSS (N=28,486); respondents to the 2011 MCBS (N=3,460). MEASUREMENTS: Total spending attributable to older adult falls in the United States in 2015, in dollars. RESULTS: In 2015, the estimated medical costs attributable to fatal and nonfatal falls was approximately $50.0 billion. For nonfatal falls, Medicare paid approximately $28.9 billion, Medicaid $8.7 billion, and private and other payers $12.0 billion. Overall medical spending for fatal falls was estimated to be $754 million. CONCLUSION: Older adult falls result in substantial medical costs. Measuring medical costs attributable to falls will provide vital information about the magnitude of the problem and the potential financial effect of effective prevention strategies.

Pediatric health care costs attributable to exposure to second-hand smoke: an exploratory analysis.

Estimates of the excess health care costs from the exposure of children to tobacco smoke are not available in the United States. We use two nationally representative databases and current econometric techniques to estimate annual health care costs attributable to secondhand exposure by adults in the household. The point estimate closest to significance (p = .11) indicates annual smoking attributable costs equal $890 in 2003 dollars and approximately 2 percent of total annual neonatal and pediatric health care costs. Our inability to find a statistically significant effect appears driven by the negative relationship found between the child's exposure and any use/expense for the child. Unobserved caregiver characteristics are likely to be positively associated with smoking but negatively associated with children's health care utilization. This is consistent with evidence from observational studies that indicate adult smokers' lower orientation toward preventive care contributes to a decreased use of discretionary health services.

Effects of primary care case management (PCCM) on Medicaid children in Alabama and Georgia: provider availability and race/ethnicity.

This study analyzes the 4-year phase-in of Medicaid Primary Care Case Management (PCCM) in Georgia and Alabama. The effect of PCCM implementation on children's primary and preventive care, independent of changes in Medicaid participating providers, was measured by race. Accounting for provider supply, PCCM was associated with lower use of primary care for all children except white non-Hispanics in urban Georgia. In urban Alabama, PCCM reduced preventive care for white and black non-Hispanic children. This held only for blacks in urban Georgia, while PCCM was associated with increased preventive care among all children in rural Georgia. The negative effect of PCCM was further compounded by negative effects of reduced provider availability. Reductions in office-based Medicaid providers affected Alabama children more often, while reductions in hospital-based physicians had a negative effect for Georgia children. Implementation of PCCM without fee increases may have had unexpected negative effects that differentially affected minority children.

Will choice-based reform work for Medicare? Evidence from the Federal Employees Health Benefits Program.

OBJECTIVE: . To examine the effect of premiums and benefits on the health plan choices of older enrollees who choose Federal Employees Health Benefits Program (FEHBP) health plans as their primary payer. DATA SOURCES: Administrative enrollment data from the Office of Personnel Management (OPM) and plan premiums and benefits data taken from the Checkbook Guide to health plans. STUDY DESIGN: We estimate individual plan choice models where the choice of health plan is a function of out-of-pocket premium, actuarial value, plan attributes, and individual characteristics. Plan attributes include plan structure (fee-for-service/preferred provider organization, point-of-service, or health maintenance organization), drug benefit structure, and whether or not the plan covers other types of spending such as dental services and diabetic supplies. The models are estimated by conditional logit. Our study focuses on three populations that currently choose FEHBP as their primary health care coverage and are similar to the Medicare population: current employees and retirees who are approaching the age of Medicare eligibility (ages 60-64) and current federal employees age 65+. Current employees age 65+ are eligible for Medicare, but their FEHBP plan is their primary payer. Retirees and employees 60-64 are not yet eligible for Medicare but are similar in many respects to recently age-eligible Medicare beneficiaries. We also estimate our model for current employees age 55 and younger as a comparison group. DATA COLLECTION METHODS: We select a random sample of retirees and employees age 60-64, as well as all current employees age 65+, from the OPM administrative database for the calendar year 2001. The plan choices available to each person are determined by the plans participating in their metropolitan statistical area. We match plan premium and attribute information from the Checkbook Guide to each plan in the enrollee's list of choices. PRINCIPAL FINDINGS: We find that current workers 65+, 60-64, and non-Medicare eligible retirees are sensitive to variation in plan premiums. The premium elasticities for these groups are similar in magnitude to those of the age 55 and under employee group. Older workers and retirees not yet eligible for Medicare are willing to pay a substantial amount for plans with open provider networks. The willingness to pay for open networks is significantly greater for these groups than for younger employees. Willingness to pay for open network plans varies significantly by income, but varies little by age within group. CONCLUSIONS: Our finding that older workers and non-Medicare eligible retirees are sensitive to plan premiums suggests that choice-based reform of Medicare would lead to cost-conscious choices by Medicare beneficiaries. However, our finding that these groups are willing to pay more for open network plans than younger employees suggest that higher risk individuals may migrate toward higher benefit, higher cost plans. Our findings on the relationship between income and willingness to pay for open network plans suggest that means testing is a viable reform for lowering Medicare program costs.

SCHIP structure and children's use of care.

This study explores the impact of program structure on children's use of care by comparing care use in State Children's Health Insurance Program (SCHIP) and Medicaid covered populations in a State where children share the same provider network and are both in a primary care case management system with the same Medicaid fee structure. We then compare care use in this system to care use in an SCHIP structured as a fee-for-service (FFS) system using a private insurance provider network and fee schedule. Where SCHIP and Medicaid Programs share a primary care case management (PCCM) system, we find more use of well-child care among Medicaid covered children, but more use of office-based physician care among SCHIP covered children. Across the Medicaid PCCM-based and the private insurance FFS-based system, we find more use of primary and specialty care in the FFS system, and more use of well-child care and less use of emergency departments for non-urgent care in the PCCM-based system.

Payments For Opioids Shifted Substantially To Public And Private Insurers While Consumer Spending Declined, 1999-2012.

Deaths from opioid pain reliever overdose in the United States quadrupled between 1999 and 2013, concurrent with an increase in the use of the drugs. We used data from the Medical Expenditure Panel Survey to examine trends in opioid pain reliever expenditures, financing by various payers, and use from 1999 to 2012. We found major shifts in expenditures by payer type for these drugs, with private and public insurers paying a much larger share than patients in recent years. Consumer out-of-pocket spending on opioids per 100 morphine milligram equivalents (a standard reference measure of strength for various opioids) declined from $4.40 to $0.90 between 2001 and 2012. Since the implementation of Medicare Part D in 2006, Medicare has been the largest payer for opioid pain relievers, covering about 20-30 percent of the cost. Medicare spends considerably more on these drugs for enrollees younger than age sixty-five than it does for any other age group or than Medicaid or private insurance does for any age group. Further research is needed to evaluate whether payer strategies to address the overuse of opioids could reduce avoidable opioid-related mortality.

The rising prevalence of treated disease: effects on private health insurance spending.

In this paper we present a new framework for understanding the factors driving the growth in private health insurance spending. Our analysis estimates how much of the rise in spending is attributable to a rise in treated disease prevalence and spending per treated case. Our results reveal that the rise in treated disease prevalence, rather than the rise in spending per treated case, was the most important determinant of the growth in private insurance spending between 1987 and 2002. A rise in population risk factors and the introduction of new technologies underlie these trends.

Children's service use during the transition to PCCM in two states.

This study examines whether use of primary, preventive, or emergency care changed as primary care case management (PCCM) programs for children were implemented in Alabama and Georgia. Using claims data we track the same children over time, and control for geographic availability of Medicaid providers, which also changed over this period. A decline in use of all three types of care was found to be associated with PCCM implementation, with use of primary and preventive care falling below national averages and recommended use rates. Family difficulties in shifting to exclusive use of unfamiliar providers is the primary reason for the decline in use rates.

A cost-benefit analysis of three older adult fall prevention interventions.

INTRODUCTION: One out of three persons aged 65 and older falls annually and 20% to 30% of falls result in injury. The purpose of this cost-benefit analysis was to identify community-based fall interventions that were feasible, effective, and provided a positive return on investment (ROI). METHODS: A third-party payer perspective was used to determine the costs and benefits of three effective fall interventions. Intervention effectiveness was based on randomized controlled trial results. National data were used to estimate the average annual benefits from averting the direct medical costs of a fall. The net benefit and ROI were estimated for each of the interventions. RESULTS: For the Otago Exercise Program delivered to persons aged 65 and older, the net benefit was $121.85 per participant and the ROI was 36% for each dollar invested. For Otago delivered to persons aged 80 and older, the net benefit was $429.18 and the ROI was 127%. Tai chi: Moving for Better Balance had a net benefit of $529.86 and an ROI of 509% and Stepping On had a net benefit of $134.37 and an ROI of 64%. CONCLUSIONS: All three fall interventions provided positive net benefits. The ROIs showed that the benefits not only covered the implementation costs but also exceeded the expected direct program delivery costs. These results can help health care funders and other community organizations select appropriate and effective fall interventions that also can provide positive returns on investment.

How does the employer contribution for the federal employees health benefits program influence plan selection?

Market reform of health insurance is proposed to increase coverage and reduce growth in spending by providing an incentive to choose low-cost plans. However, having a choice of plans could result in risk segmentation. Risk-adjusted payments have been proposed to address risk segmentation but are criticized as ineffective. An alternative to risk adjustment is to subsidize premiums, as in the Federal Employees Health Benefits Program (FEHBP). Subsidizing premiums may also increase total premium spending. We find that there is little risk segmentation in the FEHBP and that reducing the premium subsidy would lower government premium spending and slightly increase risk segmentation.

Which medical conditions account for the rise in health care spending?

We calculate the level and growth in health care spending attributable to the fifteen most expensive medical conditions in 1987 and 2000. Growth in spending by medical condition is decomposed into changes attributable to rising cost per treated case, treated prevalence, and population growth. We find that a small number of conditions account for most of the growth in health care spending--the top five medical conditions accounted for 31 percent. For four of the conditions, a rise in treated prevalence, rather than rising treatment costs per case or population growth, accounted for most of the spending growth.

The impact of obesity on rising medical spending.

Obese people incur higher health care costs at a given point in time, but how rising obesity rates affect spending growth over time is unknown. We estimate obesity-attributable health care spending increases between 1987 and 2001. Increases in the proportion of and spending on obese people relative to people of normal weight account for 27 percent of the rise in inflation-adjusted per capita spending between 1987 and 2001; spending for diabetes, 38 percent; spending for hyperlipidemia, 22 percent; and spending for heart disease, 41 percent. Increases in obesity prevalence alone account for 12 percent of the growth in health spending.

Preventive care: female cancer screening, 1996-2000.

BACKGROUND: Low-income and uninsured women have lower odds of receiving age-appropriate cancer screens that can detect cancers earlier and reduce morbidity/mortality. A key question is whether federal/state public health programs aimed at increasing screening and other public policies (e.g., welfare reform, managed care) have affected their receipt of these preventive services. METHODS: Data from the Behavioral Risk Factor Surveillance System (BRFSS) were used to estimate the effects of public programs, income, and insurance status on the odds that women received mammography, clinical breast examination (CBE), or Papanicolaou (Pap) smears from 1996 to 2000. State fixed-effects models are estimated. Effects of the age (measured in years) of states' National Breast and Cervical Cancer Early Detection Programs (NBCCEDPs) and level of federal funding are presented. RESULTS: Adjusted odds of uninsured women reporting female cancer screens were lower than for those privately insured, and did not change between 1996 and 2000 despite welfare reform and increasing numbers of uninsured. The age of states' NBCCEDPs were associated with increased odds of mammography, CBE, and Pap smear screens for non-elderly women. For example, the aging of a state's program from 0 to 5 years was associated with an increase in the percentage of women receiving mammography from 52.7% to 55.1%. CONCLUSIONS: Despite efforts to increase screening among low-income uninsured women, their average rates remain below those with higher incomes and/or insurance. However, initiation and maintenance of the states' NBCCEDPs over long periods is associated with increased screening. After accounting for program age, increased federal dollars are associated with slight increases in screening for women aged >65.

The impact of S-CHIP enrollment on physician participation in Medicaid in Alabama and Georgia.

OBJECTIVE: To assess whether increasing enrollment in State Children's Health Insurance Programs (S-CHIPs) has an impact on the number of office physicians participating in Medicaid and the extent of their participation. Effects are measured for a freestanding S-CHIP program with an open provider panel and an S-CHIP program that uses the state's Medicaid provider panel. DATA SOURCES: Children's Medicaid claims data for primary care services were used to measure physician participation in the program; census and enrollment data were used to describe market area characteristics. Study Design. This is a time series study of communities in two states, measuring physician Medicaid participation quarterly between 1998 and 2001, controlling for changes in community characteristics and children's program enrollment as well as other factors by quarter. DATA COLLECTION/EXTRACTION: Office physician participation is measured by practice site. Claims data are aggregated to the level of the community and reflect the number of limited practice sites, the ratio of Medicaid office sites to the number of primary care physicians in the community as reported by the American Medical Association (AMA), and the mean number of Medicaid office visits made to physician sites in the community in the quarter. FINDINGS: In Alabama, the state with a freestanding S-CHIP program, there is little association between increased S-CHIP enrollment and physician participation in Medicaid. In Georgia, where the same provider network serves both programs, increases in S-CHIP enrollment are associated with a decline in office-based physician participation in Medicaid in urban areas. CONCLUSION: Linkage of S-CHIP and Medicaid programs through the use of the same provider network, in the absence of market conditions that encourage the expansion of the network, can lead to a negative impact on access for Medicaid enrollees.

The impact of Medicaid primary care case management on office-based physician supply in Alabama and Georgia.

The success of the "primary care case management (PCCM)" form of managed care implemented in many state Medicaid programs over the past several years depends in part on the expanded availability of primary care physician sites to substitute for hospital-based outpatient care and to provide a medical home for enrollees. However, the PCCM requirement for physicians to accept assignment of a caseload of patients and to provide all of their primary care likely conflicts with the approach of limited Medicaid participation favored by many Medicaid physician participants. This study examines the early impact of PCCM implementation, in the absence of physician reimbursement level increases, on the patterns of Medicaid participation by physicians in communities in Georgia and Alabama. We find that the implementation of PCCM under these conditions often was associated with reductions in the proportion of physicians participating in Medicaid, reductions in the number of very small Medicaid practices, and declines in Medicaid visit volumes across all participating physicians. We also find evidence of an overall reduction in the number of primary care visits per Medicaid enrollee, but an increase in the proportion of these visits that were for preventive care services associated with initial PCCM implementation.