ACA Enrollment and Adverse Selection Pressures – An Update

The age-mix of health insurance exchange (HIE) enrollees (Exhibit 1, green columns) skews older than the age-mix we believe is necessary (Exhibit 1, grey columns) to avoid adverse selection, i.e. for premiums and claims to balance. Our independently derived estimate of ‘balanced’ age-mix – specifically the need for roughly 40pct of enrollees to fall in the 18-34 age range – is consistent with estimates[1] made by others – including CBO – before the enrollment process began

exh1

At present only 25% of HIE enrollees fall into the 18-34 age range, which strongly suggests the current enrollment mix will result in adverse selection, forcing policy changes in the near-term

The argument has been made that the age mix of enrollees is less relevant than the health of enrollees[2]. Despite being technically correct this argument is hopelessly evasive. It relies on the exceedingly narrow possibility that actual claims will be sufficiently different from normal age-related patterns (specifically that the enrolled are healthier than those that don’t enroll) for premiums and claims to balance. This begs the question of just how different actual claims would have to be from typical age-related patterns; quantifying that difference is the simple point of this research note

We estimated relative demand for health care by age and income using Medical Expenditure Panel Survey (MEPS) data for 2011 (the most recent year available). To quantify relative demand, we relied on variables that would not be affected by the presence or absence of health insurance, e.g. odds of illness or injury, body mass index (BMI), and self-assessed measures of health

Using age and subsidy-eligibility data from the most recent report on HIE enrollment[3], we then calculated enrollment weighted averages for each MEPS health-status variable, assuming in this calculation that HIE enrollees are a random grab of health risks, i.e. that HIE enrollees are no more or less healthy than their age- and income-matched peers in the general population[4]. The results are in columns (b) (all ages) and (d) (18-34 y.o.) of Exhibit 2. For reference, column (a) provides weighted average values that we would expect if the targeted age mix (e.g. 40pct of enrollees aged 18-34) were enrolled

exh2

Because the currently enrolled population is on average older than the targeted age mix, the age- and income-weighted health measures for the enrolled population obviously imply worse health (column (b)) than would be expected under the targeted age mix (column (a))

The question then simply becomes how much healthier than average the enrollees must be in order for these enrollees’ claims to be no greater than the claims that would have been expected under the targeted age mix. Specifically, we calculated how much healthier the enrolled 18-34 y.o.’s would have to be as compared to their age- and income-matched peers in the general population, assuming that 35-64 y.o. enrollees are a random draw from their age- and income-matched counterparts in the general population.  We express the result in two forms: as the value the MEPS health status variables would have to reach for the 18-34 y.o.’s to be sufficiently healthy to pull the enrolled population’s health status in line with that of the targeted age mix (column (e)) ; and, as the required percentage change in each MEPS health status variable (column (f))

Our results indicate that in order for the enrolled age-mix to have claims (and thus a relationship between premiums and claims) on par with that of the targeted age-mix, enrolled 18-34 y.o.’s would have to be 21pct less likely to incur an injury or have an illness that required urgent care, have an 11pct lower body mass index (BMI – N.B. this implies being 17 lbs. lighter on average), have a 28pct lower rate of obesity, have no physical limitations, and to rate their health an average of 25pct higher on an 5-point Likert self-assessment scale, all as compared to age- and income-matched peers

It is wholly unrealistic to expect HIE enrollees to be at all healthier than non-enrollees, much less by the degree necessary to overcome the current skew in enrollment toward older beneficiaries. We believe health insurance exchanges are a crucial structural feature of any truly efficient health system; as such if we have any subjective bias, it takes the form of a genuine hope that the HIEs succeed. Despite this hope, we see no reason to ignore the considerable objective evidence pointing to failure of the HIEs in their current form, and believe that otherwise credible sources simply reduce the odds of righting the HIEs by suggesting enrollment is on track

 



[1] See, among many examples, http://kff.org/health-reform/perspective/the-numbers-behind-young-invincibles-and-the-affordable-care-act/

[2] http://www.commonwealthfund.org/Publications/Fund-Reports/2014/Feb/Young-Adult-Participation-in-the-Health-Insurance-Marketplace.aspx

[3] http://aspe.hhs.gov/health/reports/2014/MarketPlaceEnrollment/Feb2014/ib_2014feb_enrollment.pdf

[4] If anything, we believe HIE enrollees are less healthy than non-enrollees. However by assuming the HIE enrollees have the same average health as the general population (on an age- and income-adjusted basis), we stack the odds in favor of the analysis finding less potential for adverse selection, thus the assumption is conservative

Richard Evans

Dr. Richard Evans, a 20 year industry veteran, leads SSR Health. As a senior executive in the pharmaceuticals industry, Dr. Evans responsibilities ranged from corporate strategy to the pricing and distribution of the company’s products. As an analyst with Sanford C. Bernstein, he was ranked #1 by both Bloomberg and Institutional Investor for his U.S. pharmaceuticals coverage – across all industries and coverage he was ranked one of the top 20 analysts worldwide. Dr. Evans is the author of “Health and Capital” published in August of 2009. He is a co-founder of SSR Health, LLC