Publications

The State of Washington, as part of a State Innovation Model (SIM) grant, is changing the payment model within state employee health insurance plans. The system is moving away from traditional fee-for-service reimbursement to value-based payment, through insurance design (the creation of accountable care network insurance products) and bundled payment strategies. New plans were rolled out in January 2016 (enrollment occurred in late 2015), with the stated goal of getting 80% of state employees covered by plans that contain value-based purchasing within the next 5 years. The goal of payment reform is to improve member experience, member health, and cut costs. However, changing health insurance during employment can, directly and indirectly, change labor market outcomes. Decreasing costs of insurance could lead people to remain in the state-employment sector longer. However, it could also influence retirement timing, by changing the relative costs of insurance through improving health.

This paper examines who switches to value-based insurance, where the insurance explicitly decreases premiums without changing out-of-pocket costs. We find that the peak age for switching insurance plans is 35–45, even among the subsample of individuals who would not need to change their usual sources of care. Second, we look at the labor market activity – both leaving the state-employee sector and retiring from state-employment – and find that younger workers with value-based insurance plans are less likely to leave state employment. Further, we find evidence of value-based insurance, available at a reduced cost to both employees and retirees, leads to a shifting downward in the distribution of retirement age. While these findings support the existence of both the price and income effects, the effect sizes are rather small.

This article details the ways in which financial burden imposed by work-related injury/illness, and points out areas which are under-researched to focus policy efforts where improvement is most needed.

Research on home‐based long‐term care has centered almost solely on the costs; there has been very little, if any, attention paid to the relative benefits. This study exploits the randomization built into the Cash and Counseling Demonstration and Evaluation program that directly impacted the likelihood of having family involved in home care delivery. They find that some family involvement in home‐based care significantly decreases health‐care utilization: lower likelihood of emergency room use, Medicaid‐financed inpatient days, any Medicaid hospital expenditures, and fewer months with Medicaid‐paid inpatient use. We find that individuals who have some family involved in home‐based care are less likely to have several adverse health outcomes within the first 9 months of the trial, including lower prevalence of infections, bedsores, or shortness of breath, suggesting that the lower utilization may be due to better health outcomes.

This article estimates dementia's incremental cost to the traditional Medicare program. The authors compared Medicare expenditures for 60 months following a claims-based dementia diagnosis to those for a randomly selected, matched comparison group.   Dementia's five-year incremental cost to the traditional Medicare program is approximately $15 700 per patient, nearly half of which is incurred in the first year after diagnosis. Increased costs for individuals with dementia were driven by more intensive use of Medicare part A covered services.

This article examines how patient outcomes and Medicare spending are affected by the decision to discharge patients to home with home health care vs to a skilled nursing facility for postacute care. The authors find that among Medicare beneficiaries eligible for postacute care at home or in a skilled nursing facility, discharge to home with home health care was associated with higher rates of readmission, no detectable differences in mortality or functional outcomes, and lower Medicare payments.

This article estimates out-of-pocket costs in the last year of life for individuals who required intensive care in the months prior to death and examine how these costs vary by insurance coverage.