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Potential Approaches to Calculating Actuarial Value

Potential Approaches to Calculating Actuarial Value. Cori E. Uccello, FSA, MAAA, MPP Senior Health Fellow American Academy of Actuaries Creating a Useable Measure of Actuarial Value Washington, DC October 17, 2011. What is actuarial value?.

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Potential Approaches to Calculating Actuarial Value

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  1. Potential Approaches to Calculating Actuarial Value Cori E. Uccello, FSA, MAAA, MPP Senior Health Fellow American Academy of Actuaries Creating a Useable Measure of Actuarial Value Washington, DC October 17, 2011

  2. What is actuarial value? • A health insurance plan’s actuarial value indicates the average share of medical spending that is paid by the plan, as opposed to being paid out of pocket by the consumer • The calculation takes into account various plan features: • Cost-sharing elements, such as deductibles, coinsurance, copayments, and out-of-pocket limits, and • The range of services covered by the plan • For example, an actuarial value of 70% means that, on average, the plan pays for 70% of medical spending and consumers pay the remaining 30% out of pocket

  3. Limitations of using actuarial value when choosing a health insurance plan Actuarial values do not predict out-of-pocket costs for any individual Actuarial values do not provide a precise measure of the extent of coverage under a health plan Actuarial values do not incorporate information about provider networks and quality

  4. Actuarial value under the ACA • Under the Affordable Care Act (ACA), actuarial value will be used to categorize plans by benefit tiers • Platinum = 90% actuarial value • Gold = 80% actuarial value • Silver = 70% actuarial value • Bronze = 60% actuarial value • There is no uniform method of determining an actuarial value • The appropriate method will vary depending on the goal of the calculation

  5. Identifying potential primary goals • Option 1: Plans with identical coverage and cost-sharing provisions should have the same actuarial values • Actuarial value differences between plans would reflect only plan design differences • Option 2: A plan’s actuarial value should correspond more directly with the expected share of spending paid by the plan • Provider discounts and utilization patterns of each plan would be incorporated into the actuarial value calculation

  6. How provider payment rates and utilization patterns could affect actuarial values • Actuarial values are higher when health spending is higher • Any fixed dollar deductibles and out-of-pocket limits are more likely to be exceeded, above which the plan pays a greater share of spending • Plans with lower total spending—through lower provider payments or use of less costly services (e.g., generic drugs)—would pay a lower share of total spending, all else equal • Under Option 1, no impact on actuarial value • Under Option 2, lower actuarial value

  7. Neither approach provides guidance on out-of-pocket dollar amounts • Option 1 ignores provider payment rates and utilization management differences between plans • Total allowed costs, and therefore the actual cost-sharing requirements, could be under- or over-stated • Even under Option 2, the share of costs paid by the plan won’t necessarily be correlated with the out-of-pocket dollar amounts • For instance, plans with lower provider payment rates could have lower actuarial values and lower out-of-pocket dollar costs

  8. Defining a standard population • ACA requires that coverage levels be determined based on a standard population • Using a standard population means actuarial values won’t be skewed if a plan enrolls a disproportionately high- or low-cost population • ACA does not provide details on how a standard population is defined or what data are used

  9. Data options • Option 1: Use common standardized dataset • Would facilitate goal of achieving similar actuarial values for plans with similar plan designs • Standard assumptions may be needed regarding how utilization changes under differing cost-sharing requirements • Considerable effort required to develop appropriate dataset • Option 2: Allow plans to use their own data, normalized using risk scores • Would facilitate goal of better reflecting the expected share of spending paid by the plan • Could be more administratively feasible

  10. Other considerations • Defining medical spending • Medical spending is defined according to the essential benefits package • The more broadly the essential benefits package requirements are defined, the less clear it becomes regarding which spending is included in the actuarial value calculation • Geographic variations • Incorporating regional variations in health spending would result in actuarial values that better reflect local markets, • But cross-area comparisons of plan designs would be more difficult

  11. Final thoughts • Method for calculating actuarial value needs to strike a balance between helping distinguish plans by coverage tiers and administrative simplicity • Because actuarial value calculations are done on an average basis for a given population, different plans may be more or less valuable to any particular individual, even among plans in the same benefit tier

  12. For more information Additional resources from the American Academy of Actuaries, available at www.actuary.org: “Actuarial Value Under the Affordable Care Act” (July 2011) “Critical Issues in Health Reform: Actuarial Equivalence” (May 2009) Contact information for Cori Uccello Uccello@actuary.org (202) 223-8196

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