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Sources of Geographic Variation in Health Care Spending Among Individuals With Employer Sponsored Insurance.

ABSTRACT: We use health care claims data from the Health Care Cost Institute to estimate the share of geographic variation in health care spending attributable to person-specific (demand) and place-specific (supply) factors. We exploit patient migration across 112 metropolitan areas between 2012 and 2016. Using an event study approach, we find that moving to an area with 10% higher (lower) spending leads to a 4.2% increase (decrease) in individual medical spending. Our estimate implies that 42% of variation in health care spending among the commercially insured is attributable to place-specific factors. We show that variation in both price and utilization jointly determine the place-specific impact on individual spending. All else equal, we find that moving to an area with 10% higher (lower) prices, on average leads to a 5% increase (decrease) in spending, while moving to an area with 10% higher (lower) utilization leads to a 3.6% increase (decrease).

SUBMITTER: Johnson WC

PROVIDER: S-EPMC8414822 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Sources of Geographic Variation in Health Care Spending Among Individuals With Employer Sponsored Insurance.

Johnson William C WC Biniek Jean Fuglesten JF

Medical care research and review : MCRR 20200706 5

We use health care claims data from the Health Care Cost Institute to estimate the share of geographic variation in health care spending attributable to person-specific (demand) and place-specific (supply) factors. We exploit patient migration across 112 metropolitan areas between 2012 and 2016. Using an event study approach, we find that moving to an area with 10% higher (lower) spending leads to a 4.2% increase (decrease) in individual medical spending. Our estimate implies that 42% of variati ...[more]

PMID: 32633204

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Project description:ObjectiveWe investigate the factors driving the downward trend in employer sponsored health insurance (ESI) coverage between 1999 and 2002 for low- and middle-income workers, and assess their insurance options in the absence of ESI coverage.DataWe use the 1999 and 2002 rounds of the National Survey of America's Families (NSAF), supplemented with ESI premiums from the Medical Expenditure Panel Survey, as well as other state- and county-level data from a variety of sources. The sample includes workers between the ages of 19 and 64.Study designWe first estimate linear probability models of the probability of having an ESI offer and, for those with an offer, the probability of taking up ESI coverage, using two-stage least square regression on the 2002 worker sample. We then use Oaxaca-Blinder regression-based decomposition methods to identify the factors that explain the changes in ESI offer and take-up between 1999 and 2002.Principal findingsWe find that while low-income workers are more likely to be uninsured and are most vulnerable to the loss of ESI coverage, many middle-income workers are also in a precarious position when faced with the loss of ESI coverage. Many low- and middle-income workers have few coverage options in the absence of ESI. This is particularly problematic for low-income workers: only 13 percent have a spouse with an ESI offer and the nongroup premium they face increased at a much higher rate than for middle-income workers. Finally, we find that the drop in ESI offers between 1999 and 2002 was driven largely by changes in nature of the workers' jobs, while the drop in ESI take-up was driven largely by rising ESI premiums.ConclusionsPolicies that shore up the ESI system are important for both low- and middle-income workers, as both are vulnerable to a loss of insurance coverage in the absence of ESI. Over time, the potential coverage options available to low- and middle-income workers in the absence of ESI have narrowed as nongroup premiums have increased. While public coverage has provided some protection from that increase for low-income workers, middle-income workers are much less likely to have access to public protection.

Project description:ImportanceCosts of employer-sponsored health care benefits have increased faster than workers' wages for several decades, with important implications for disparities in earnings and wage stagnation.ObjectiveTo quantify how growth in employer-sponsored health insurance (ESI) premiums may have been associated with reduced annual wages, disparities in earnings by race and ethnicity and wage level, and wage stagnation among US families with ESI.Design, setting, and participantsIn this economic evaluation, serial cross-sectional analyses were performed of US families receiving ESI from 1988 to 2019 based on data from the Consumer Expenditure Survey, Kaiser Employer Health Benefits Survey, US Census Bureau's Current Population Survey, and federal payroll taxation rates. Statistical analysis was conducted from February 2022 to July 2023.Main outcomes and measuresPercentage of annual compensation associated with health care premiums (after accounting for tax deductibility) and lost wages associated with growth in cost of premiums from 1989 to 2019 based on 1988 compensation. To assess disparities, analyses were stratified by race and ethnicity and wage level.ResultsIn 1988, 44.7 million individuals (head of household: mean [SD] age, 43.3 [13.1] years; 30.1% were female; and 2.4% identified as Asian, 6.2% as Hispanic, 8.6% as non-Hispanic Black, and 82.8% as non-Hispanic White) were covered by ESI family plans; this number remained similar in 2019 at 44.8 million individuals (head of household: mean [SD] age, 47.1 [12.9] years; 41.3% were female; and 1.3% identified as Asian, 9.9% as Hispanic, 9.9% as non-Hispanic Black, and 78.9% as non-Hispanic White). In 1988, the mean (SD) household size was 3.3 (1.3) people, and in 2019, it was 3.4 (1.3) people. If ESI costs had remained at the same proportion of the 1988 average compensation package, then in 2019, the median US family with ESI could have earned $8774 (95% CI, $8354-$9195) more in annual wages. During all 32 years, health care premiums as a percentage of compensation were greater for non-Hispanic Black and Hispanic families than for non-Hispanic White families. By 2019, 13.8% (95% CI, 13.5%-14.1%) of compensation among non-Hispanic White families with ESI went to premium costs compared with 19.2% (95% CI, 18.8%-19.7%) among non-Hispanic Black families and 19.8% (19.3%-20.3%) among Hispanic families with ESI. In 2019, health care premiums as a percentage of compensation at the 95th percentile of earnings for families with ESI were 3.9% (95% CI, 3.8%-4.0%) compared with 28.5% (95% CI, 27.8%-29.2%) at the 20th percentile of earnings. From 1988 to 2019, the mean cumulative lost earnings associated with growth in health care premiums for the median US family with ESI was $125 340 (95% CI, $120 155-$130 525) in 2019 dollars, 4.7% of earnings over the 32-year period.Conclusions and relevanceThis economic evaluation of US families receiving ESI suggests that 3 decades of increasing health care premiums were likely associated with reduced annual earnings and increased earnings inequality by race and ethnicity and wage level and were meaningfully associated with wage stagnation.

Dataset Information

Sources of Geographic Variation in Health Care Spending Among Individuals With Employer Sponsored Insurance.

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Sources of Geographic Variation in Health Care Spending Among Individuals With Employer Sponsored Insurance.

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