How the Supreme Court Could Rule on the Affordable Care Act

On Nov. 10, the U.S. Supreme Court will hear arguments on whether the Affordable Care Act (ACA) is constitutional, in whole or in part. The court is expected to rule on the matter before its term ends in June 2021.

Only those justices sitting on the court when the case is heard will vote, and it is not yet known if a new Supreme Court justice will be confirmed when the case is argued. A vacancy on the nine-justice court was created by the death of Justice Ruth Bader Ginsburg on Sept. 18.

In the meantime, "the health care law remains fully in effect during the litigation, including all employer coverage obligations and reporting requirements," said Chatrane Birbal, vice president of public policy at the Society for Human Resource Management.

Complex Case History

The Supreme Court's options for deciding this case are shaped by the complicated history of litigation over the ACA.

The origins of the case go back to 2012, when the court upheld the constitutionality of the ACA's penalty on individuals who lack health coverage—the so-called individual coverage mandate—as a justifiable exercise of Congress' power to tax.

In December 2017, however, President Donald Trump signed into law a tax bill that eliminated the ACA's penalty on individuals who lack health coverage. Afterward, several Republican state attorneys general, led by the state of Texas, filed a lawsuit arguing that the health care statute itself, or at least the parts of the act closely linked to the individual mandate, were no longer valid. Democratic states and the House of Representatives, led by Democrats, stepped in to defend the statute.

In December 2018, a Texas district court struck down the ACA but stayed its ruling pending appeal, concluding that the individual mandate is so connected to the law that Congress would not have passed the ACA without it.

On appeal, in Texas v. United Statesa split panel of the 5th U.S. Circuit Court of Appeals deemed that the individual mandate was unconstitutional, but the panel instructed the district court to rehear the matter and "to employ a finer-toothed comb on remand and conduct a more searching inquiry into which provisions of the ACA Congress intended to be inseverable from the mandate."

However, on March 2, 2019, before the district court could carry out the appellate court's directive, the Supreme Court announced it would hear the case in its term beginning in the fall of 2020, blocking the lower courts from taking further action.

5th Circuit Ruling Was Narrowly Focused

When the 5th Circuit instructed the district court to rehear the matter and to focus on those ACA provisions that Congress intended to be "inseverable from the individual mandate," this suggested, legal analysts said, that the appellate court was unlikely to overturn the ACA in full.

"Only the individual mandate was declared unconstitutional, and the portion of the lower court's decision invalidating the rest of the Affordable Care Act [was] vacated," according to an analysis of the appellate ruling by Segal, an HR consultancy. As a result, "plan sponsors know that the entire Affordable Care Act will not be overturned."

Had the case proceeded at the appellate level, the 5th Circuit might have struck down those parts of the law directly related to the individual mandate. The appellate decision noted, for instance, that community rating, which prevents insurers from varying premiums within a geographic area based on age, gender, health status or other factors, might be among the provisions determined to be "inseverable" from the individual mandate, because the increase in revenue to insurers from the mandate was meant to offset the decrease from these restrictions.

The ACA's guaranteed-issue provisions, which ban insurers from rejecting coverage based on a person's pre-existing conditions, might also be inseverable, the appellate decision noted.

Supreme Court's Options

The Supreme Court has the following options when it decides the caseThe Washington Post and other sources have reported:

  • To dismiss the case on technical grounds, leaving the statute in place. The court could decide, for instance, that Texas and the individual plaintiffs lacked standing to bring the lawsuit.
  • To affirmatively uphold the ACA.
  • To uphold the statute while finding the individual mandate to be void without its penalty, essentially maintaining the status quo.
  • To uphold the statute but void both the individual mandate and other provisions closely linked to the mandate.
  • To strike down the law in full, although that option has been viewed as unlikely by legal analysts. Should it happen, however, the effect of the ruling would likely be delayed, giving Congress the opportunity to correct the statute's constitutional defects or to pass a replacement health care law.

According to an analysis by the nonprofit Kaiser Family Foundation, "If the Supreme Court adopts the position that the federal government took during the trial court proceedings and invalidates the individual mandate as well as the protections for people with pre-existing conditions, then federal funding for premium subsidies and the Medicaid expansion would stand, and it would be up to states whether to reinstate the insurance protections."

If that were to happen, Congress also could reinstate protections for people with pre-existing conditions.

Joe Biden, the Democratic presidential nominee, has voiced his support for the ACA, sometimes referred to as Obamacare, pointing out how it safeguards people who might not otherwise qualify for coverage. His campaign website says, "Because of Obamacare, over 100 million people no longer have to worry that an insurance company will deny coverage or charge higher premiums just because they have a pre-existing condition—whether cancer or diabetes or heart disease or a mental health challenge."

President Trump has also pledged to maintain these protections even as his administration supports the lawsuit that seeks to overturn the act. During his acceptance speech for the Republican presidential nomination, Trump said, "We will always, and very strongly, protect patients with pre-existing conditions, and that is a pledge from the entire Republican Party."

In Case of a Tie Vote

"If the case is heard by the current eight justices and results in a 4-4 vote, the justices could reschedule oral argument or delay consideration until [Texas vs. United States] can be reheard by a full Court," wrote Katie Keith, a former research professor at Georgetown University's Center on Health Insurance Reforms and a contributor to the Health Affairs blog. "This might mean Texas would be reheard later in the spring depending on the timing of confirmation."

Alternatively, "the Court could issue a 4-4 ruling, which would maintain the status quo and leaves the appellate decision intact. In this instance, the 5th Circuit's ruling would stand and the case would be remanded back to the district court," she noted.

If that is the outcome, "the ACA would remain in effect while the district court undertook a provision-by-provision severability analysis," Keith noted. "The litigation would continue for years as we await a new district court decision, another appeal to the 5th Circuit, and most likely a return to the Supreme Court."

 

Thinking Ahead

"Employers will be wise to give some thought to how they might react to different outcomes, Mercer, an HR consultancy, advised. "For example, if some common provisions eliminated by the ACA like annual/lifetime dollar limits on essential health benefits, ending dependent coverage at age 19/23, or the previously mentioned pre-existing condition exclusions were permitted again, would an employer reshape their plan design to curb costs? If the employer 'play-or-pay' mandate (the 30-hour rule) were struck down, would an employer move full-time eligibility back to 40 hours?"

Concluded Mercer's consultants, "There is much to consider with these possible ACA changes," should they come to pass.

SOURCE: Miller, S. (23 September 2020) "How the Supreme Court Could Rule on the Affordable Care Act" (Web Blog Post). Retrieved from https://www.shrm.org/resourcesandtools/hr-topics/benefits/pages/how-the-supreme-court-could-rule-on-the-affordable-care-act.aspx


Pre-existing Conditions and Medical Underwriting in the Individual Insurance Market Prior to the ACA

Data provided through two, large government surveys, The National Health Interview Survey (NHIS) and the Behavioral Risk Factor Surveillance System (BRFSS), Kaiser Family Foundation addresses the risk factors involved in repealing and repealing ACA.


Before private insurance market rules in the Affordable Care Act (ACA) took effect in 2014, health insurance sold in the individual market in most states was medically underwritten.1  That means insurers evaluated the health status, health history, and other risk factors of applicants to determine whether and under what terms to issue coverage. To what extent people with pre-existing health conditions are protected is likely to be a central issue in the debate over repealing and replacing the ACA. This brief reviews medical underwriting practices by private insurers in the individual health insurance market prior to 2014, and estimates how many American adults could face difficulty obtaining private individual market insurance if the ACA were repealed or amended and such practices resumed.  We examine data from two large government surveys: The National Health Interview Survey (NHIS) and the Behavioral Risk Factor Surveillance System (BRFSS), both of which can be used to estimate rates of various health conditions (NHIS at the national level and BRFSS at the state level). We consulted field underwriting manuals used in the individual market prior to passage of the ACA as a reference for commonly declinable conditions.

Estimates of the Share of Adults with Pre-Existing Conditions

We estimate that 27% of adult Americans under the age of 65 have health conditions that would likely leave them uninsurable if they applied for individual market coverage under pre-ACA underwriting practices that existed in nearly all states. While a large share of this group has coverage through an employer or public coverage where they do not face medical underwriting, these estimates quantify how many people could be ineligible for individual market insurance under pre-ACA practices if they were to ever lose this coverage. This is a conservative estimate as these surveys do not include sufficient detail on several conditions that would have been declinable before the ACA (such as HIV/AIDS, or hepatitis C).  Additionally, millions more have other conditions that could be either declinable by some insurers based on their pre-ACA underwriting guidelines or grounds for higher premiums, exclusions, or limitations under pre-ACA underwriting practices. In a separate Kaiser Family Foundation poll, most people (53%) report that they or someone in their household has a pre-existing condition. A larger share of nonelderly women (30%) than men (24%) have declinable preexisting conditions. We estimate that 22.8 million nonelderly men have a preexisting condition that would have left them uninsurable in the individual market pre-ACA, compared to 29.4 million women. Pregnancy explains part, but not all of the difference. The rates of declinable pre-existing conditions vary from state to state. On the low end, in Colorado and Minnesota, at least 22% of non-elderly adults have conditions that would likely be declinable if they were to seek coverage in the individual market under pre-ACA underwriting practices.  Rates are higher in other states – particularly in the South – such as Tennessee (32%), Arkansas (32%), Alabama (33%), Kentucky (33%), Mississippi (34%), and West Virginia (36%), where at least a third of the non-elderly population would have declinable conditions.

Table 1: Estimated Number and Percent of Non-Elderly People with Declinable Pre-existing Conditions Under Pre-ACA Practices, 2015
State Percent of Non-Elderly Population  Number of Non-Elderly Adults
Alabama 33%                   942,000
Alaska 23%                   107,000
Arizona 26%                1,043,000
Arkansas 32%                   556,000
California 24%                5,865,000
Colorado 22%                   753,000
Connecticut 24%                   522,000
Delaware 29%                   163,000
District of Columbia 23%                   106,000
Florida 26%                3,116,000
Georgia 29%                1,791,000
Hawaii 24%                   209,000
Idaho 25%                   238,000
Illinois 26%                2,038,000
Indiana 30%                1,175,000
Iowa 24%                   448,000
Kansas 30%                   504,000
Kentucky 33%                   881,000
Louisiana 30%                   849,000
Maine 29%                   229,000
Maryland 26%                   975,000
Massachusetts 24%                   999,000
Michigan 28%                1,687,000
Minnesota 22%                   744,000
Mississippi 34%                   595,000
Missouri 30%                1,090,000
Montana 25%                   152,000
Nebraska 25%                   275,000
Nevada 25%                   439,000
New Hampshire 24%                   201,000
New Jersey 23%                1,234,000
New Mexico 27%                   332,000
New York 25%                3,031,000
North Carolina 27%                1,658,000
North Dakota 24%                   111,000
Ohio 28%                1,919,000
Oklahoma 31%                   706,000
Oregon 27%                   654,000
Pennsylvania 27%                2,045,000
Rhode Island 25%                   164,000
South Carolina 28%                   822,000
South Dakota 25%                   126,000
Tennessee 32%                1,265,000
Texas 27%                4,536,000
Utah 23%                   391,000
Vermont 25%                     96,000
Virginia 26%                1,344,000
Washington 25%                1,095,000
West Virginia 36%                   392,000
Wisconsin 25%                   852,000
Wyoming 27%                     94,000
US 27%              52,240,000
SOURCE: Kaiser Family Foundation analysis of data from National Health Interview Survey and the Behavioral Risk Factor Surveillance System. NOTE: Five states (MA, ME, NJ, NY, VT) had broadly applicable guaranteed access to insurance before the ACA. What protections might exist in these or other states under a repeal and replace scenario is unclear.

At any given time, the vast majority of these approximately 52 million people with declinable pre-existing conditions have coverage through an employer or through public programs like Medicaid. The individual market is where people seek health insurance during times in their lives when they lack eligibility for job-based coverage or for public programs such as Medicare and Medicaid.  In 2015, about 8% of the non-elderly population had individual market insurance.  Over a several-year period, however, a much larger share may seek individual market coverage.2  This market is characterized by churn, as new enrollees join and others leave (often for other forms of coverage). For many people, the need for individual market coverage is intermittent, for example, following a 26th birthday, job loss, or divorce that ends eligibility for group plan coverage, until they again become eligible for group or public coverage.  For others – the self-employed, early retirees, and lower-wage workers in jobs that typically don’t come with health benefits – the need for individual market coverage is ongoing.  (Figure 1 shows the distribution of employment status among current individual market enrollees.) Prior to the ACA’s coverage expansions, we estimated that 18% of individual market applications were denied. This is an underestimate of the impact of medical underwriting because many people with health conditions did not apply because they knew or were informed by an agent that they would not be accepted.  Denial rates ranged from 0% in a handful of states with guaranteed issue to 33% in Kentucky, North Carolina, and Ohio. According to 2008 data from America’s Health Insurance Plans, denial rates ranged from about 5% for children to 29% for adults age 60-64 (again, not accounting for those who did not apply).

Figure 1: Employment Status of Non-Group Enrollees, 2016

Figure 1: Employment Status of Non-Group Enrollees, 2016

Medical Underwriting in the Individual Market Pre-ACA

Prior to 2014 medical underwriting was permitted in the individual insurance market in 45 states and DC.  Applications for individual market policies typically included lengthy questionnaires about the health and risk status of the applicant and all family members to be covered.  Typically, applicants were asked to disclose whether they were pregnant or contemplating pregnancy or adoption, and information about all physician visits, prescription medications, lab results, and other medical care received in the past year.  In addition, applications asked about personal history of a series of health conditions, ranging from HIV, cancer, and heart disease to hemorrhoids, ear infections and tonsillitis.  Finally, all applications included authorization for the insurer to obtain and review all medical records, pharmacy database information, and related information. Once the completed application was submitted, the medical underwriting process varied somewhat across insurers, but usually involved identification of declinable medical conditions and evaluation of other conditions or risk factors that warranted other adverse underwriting actions. Once enrolled, a person’s health and risk status was sometimes reconsidered in a process called post-claims underwriting. Although our analysis focuses on declinable medication conditions, each of these other actions is described in more detail below.

Declinable Medical Conditions

Before the ACA, individual market insurers in all but five states maintained lists of so-called declinable medical conditions.  People with a current or past diagnosis of one or more listed conditions were automatically denied.  Insurer lists varied somewhat from company to company, though with substantial overlap.  Some of the commonly listed conditions are shown in Table 2.

Table 2: Examples of Declinable Conditions In the Medically Underwritten Individual Market, Before the Affordable Care Act
Condition Condition
AIDS/HIV Lupus
Alcohol abuse/ Drug abuse with recent treatment Mental disorders (severe, e.g. bipolar, eating disorder)
Alzheimer’s/dementia Multiple sclerosis
Arthritis (rheumatoid), fibromyalgia, other inflammatory joint disease Muscular dystrophy
Cancer within some period of time (e.g. 10 years, often other than basal skin cancer) Obesity, severe
Cerebral palsy Organ transplant
Congestive heart failure Paraplegia
Coronary artery/heart disease, bypass surgery Paralysis
Crohn’s disease/ ulcerative colitis Parkinson’s disease
Chronic obstructive pulmonary disease (COPD)/emphysema Pending surgery or hospitalization
Diabetes mellitus Pneumocystic pneumonia
Epilepsy Pregnancy or expectant parent
Hemophilia Sleep apnea
Hepatitis (Hep C) Stroke
Kidney disease, renal failure Transsexualism
SOURCE: Kaiser Family Foundation review of field underwriting guidelines from Aetna (GA, PA, and TX), Anthem BCBS (IN, KY, and OH), Assurant, CIGNA, Coventry, Dean Health, Golden Rule, Health Care Services Corporation (BCBS in IL, TX) HealthNet, Humana, United HealthCare, Wisconsin Physician Service.  Conditions in this table appeared on declinable conditions list in half or more of guides reviewed.  NOTE: Many additional, less-common disorders also appearing on most of the declinable conditions lists were omitted from this table.

Our analysis of rates of pre-existing conditions in this brief focuses on those conditions that would likely be declinable, based on our review of pre-ACA underwriting documents. Our analysis is limited – and our results are conservative – because NHIS and BRFSS questionnaires do not address some of the conditions that were declinable, and in some cases the questions that do relate to declinable conditions were too broad for inclusion. See the methodology section for a list of conditions included in the analysis. In addition to declinable conditions, many insurers also maintained a list of declinable medications.  Current use of any of these medications by an applicant would warrant denial of coverage.  Table 3 provides an example of medications that were declinable in one insurer prior to the ACA. Our analysis does not attempt to account for use of declinable medications.

Table 3: Declinable Medications
 Anti-Arthritic Medications

  • Adalimumab/Humira
  • Cyclosporine/Sandimmune
  •  Methotrexate/Trexall
  • Ustekinumab/Stelara
  • others
 Anti-Diabetic Medications

  • Avandia/Rosiglitazone
  • Glucagon
  • Humalog/Insulin products
  • Metformin HCL
  • others
Medications for HIV/AIDS or Hepatitis

  • Abacavir/Ziagen
  • Efavirenz/Atripla
  • Interferon
  • Lamivudine/Epivir
  • Ribavirin
  • Zidovudine/Retrovir
  • others

 

Anti-Cancer Medications

  • Anastrozole/Arimidex
  • Nolvadex/Tamoxifen
  • Femara
  • others
Anti-Psychotics, Autism, Other Central Nervous System Medications

  • Abilify/Ariprazole
  • Aricept/Donepezil
  • Clozapine/Clozaril
  • Haldol/Haldoperidol
  • Lithium
  • Requip/Ropinerole
  • Risperdal/Risperidone
  • Zyprexa
  •  others
Anti-Coagulant/Anti-Thrombotic Medications

  • Clopidogrel/Plavix
  • Coumadin/Warfarin
  • Heparin
  • others
Miscellaneous Medications

  • Anginine (angina)
  • Clomid (fertility)
  • Epoetin/Epogen (anemia)
  • Genotropin (growth hormone)
  • Remicade (arthritis, ulcerative colitis)
  • Xyrem (narcolepsy)
  • others
SOURCE:  Blue Cross Blue Shield of Illinois, Product Guide for Agents

Some individual market insurers also developed lists of ineligible occupations.  These were jobs considered sufficiently high risk that people so employed would be automatically denied.  In addition, some would automatically deny applicants who engaged in certain leisure activities and sports.  Table 4 provides an example of declinable occupations from one insurer prior to the ACA.  Our analysis does not attempt to account for declinable occupations.

Table 4: Ineligible Occupations, Activities
Active military personnel Iron workers Professional athletes
Air traffic controller Law enforcement/detectives Sawmill operators
Aviation and air transportation Loggers Scuba divers
Blasters or explosive handlers Meat packers/processors Security guards
Bodyguards Mining Steel metal workers
Crop dusters Nuclear industry workers Steeplejacks
Firefighters/EMTs Offshore drillers/workers Strong man competitors
Hang gliding Oil and gas exploration and drilling Taxi cab drivers
Hazardous material handlers Pilots Window washers
SOURCE: Preferred One Insurance Company Individual and Family Insurance Application Form

Other Adverse Underwriting Actions

Beyond the declinable conditions, medications and occupations, underwriters also examined individual applications and medical records for other conditions that could generate significant “losses” (claims expenses.)  Among such conditions were acne, allergies, anxiety, asthma, basal cell skin cancer, depression, ear infections, fractures, high cholesterol, hypertension, incontinence, joint injuries, kidney stones, menstrual irregularities, migraine headaches, overweight, restless leg syndrome, tonsillitis, urinary tract infections, varicose veins, and vertigo. One or more adverse medical underwriting actions could result for applicants with such conditions, including:

  • Rate-up – The applicant might be offered a policy with a surcharged premium (e.g. 150 percent of the standard rate premium that would be offered to someone in perfect health)
  • Exclusion rider – Coverage for treatment of the specified condition might be excluded under the policy; alternatively, the body part or system affected by the specified condition could be excluded under the policy. Exclusion riders might be temporary (for a period of years) or permanent
  • Increased deductible – The applicant might be offered a policy with a higher deductible than the one originally sought; the higher deductible might apply to all covered benefits or a condition-specific deductible might be applied
  • Modified benefits – The applicant might be offered a policy with certain benefits limited or excluded, for example, a policy that does not include prescription drug coverage.

In some cases, individuals with these conditions might also be declined depending on their health history and the insurer’s general underwriting approach.  For example, field underwriting guides indicated different underwriting approaches for an applicant whose child had chronic ear infections:

  • One large, national insurer would issue standard coverage if the child had fewer than five infections in the past year or ear tubes, but apply a 50% rate up if there had been more than 4 infections in the prior year;
  • Another insurer, which used a 12-tier rate system, would issue coverage at the second most favorable rate tier if the child had just one infection in the prior year or ear tubes, at the fifth rate tier if there had been 2-3 infections during the prior year, and at the seventh tier if there had been 4 or more infections; for some conditions, this company’s rating might depend on the plan deductible – applicants with history of ear infections would be offered the second rating tier for policies with a deductible of $5,000 or higher;
  • Another insurer would issue standard coverage if the child had just one infection in the prior year or if ear tubes had been inserted more than one-year prior, apply a rate up if there were two infections in the prior year, and decline the application if there were three or more infections;
  • Another insurer would issue standard coverage if the child had fewer than 3 infections in the past year, but issue coverage with a condition specific deductible of $5,000 if there had been 3 or more infections or if ear tubes had been inserted.

In a 2000 Kaiser Family Foundation study of medical underwriting practices, insurers were asked to underwrite hypothetical applicants with varying health conditions, from seasonal allergies to situational depression to HIV.  Results varied significantly for less serious conditions. For example, the applicant with seasonal allergies who made 60 applications for coverage was offered standard coverage 3 times, declined 5 times, offered policies with exclusion riders or other benefit limits 46 times (including 3 offers that excluded coverage for her upper respiratory system), and policies with premium rate ups (averaging 25%) 6 times.

Pre-existing Condition Exclusion Provisions

In addition to medical screening of applicants before coverage was issued, most individual market policies also included more general pre-existing condition exclusion provisions which limited the policy’s liability for claims (typically within the first year) related to medical conditions that could be determined to exist prior to the coverage taking effect.3

Example of pre-existing condition exclusion Jean, an Arizona teacher whose employer provided group health benefits but did not contribute to the cost for family members, gave birth to her daughter, Alex, in 2004 and soon after applied for an individual policy to cover the baby.  Due to time involved in the medical underwriting process, the baby was uninsured for about 2 weeks. A few months later, Jean noticed swelling around the baby’s face and eyes.  A specialist diagnosed Alex with a rare congenital disorder that prematurely fused the bones of her skull.  Surgery was needed immediately to avoid permanent brain damage.   When Jean sought prior-authorization for the $90,000 procedure, the insurer said it would not be covered.  Under Arizona law, any condition, including congenital conditions, that existed prior to the coverage effective date, could be considered a pre-existing condition under individual market policies.  Alex’s policy excluded coverage for pre-existing conditions for one year.  Jean appealed to the state insurance regulator who upheld the insurer’s exclusion as consistent with state law. Source:  Wall Street Journal, May 31, 2005

The nature of pre-existing condition exclusion clauses varied depending on state law.  In 19 states, a health condition could only be considered pre-existing if the individual had actually received treatment or medical advice for the condition during a “lookback” period prior to the coverage effective date (from 6 months to 5 years).  In most states, a pre-existing condition could also include one that had not been diagnosed but that produced signs or symptoms that would prompt an “ordinarily prudent person” to seek medical advice, diagnosis or treatment.  In 8 states and DC, conditions that existed prior to the coverage effective date – including those that were undiagnosed and asymptomatic – could be considered pre-existing and so excluded from coverage under an individual market policy.  For example, a congenital condition in a newborn could be considered pre-existing to the coverage effective date (the baby’s birth date) and excluded from coverage.  About half of the states required individual market insurers to reduce pre-existing condition exclusion periods by the number of months of an enrollee’s prior coverage.

Example of policy rescission Jennifer, a Colorado preschool teacher, was seriously injured in 2005 when her car was hit by a drug dealer fleeing the police. She required months of inpatient hospitalization and rehab, and her bills reached $185,000.   Jennifer was covered by a non-group policy which she had purchased five months prior to the accident.   Shortly after her claims were submitted, the insurer re-reviewed Jennifer’s application and medical history.  Following its investigation, the insurer notified Jennifer they found records of medical care she had not disclosed in her application, including medical advice sought for discomfort from a prolapsed uterus and an ER visit for shortness of breath.  The insurer rescinded the policy citing Jennifer’s failure to disclose this history. Jennifer sued the insurer for bad faith; four years later a jury ordered the insurer to reinstate the policy and pay $37 million in damages. Source:  Westword, February 11, 2010.

Unlike exclusion riders that limited coverage for a specified condition of a specific enrollee, pre-existing condition clauses were general in nature and could affect coverage for any applicable condition of any enrollee.  Pre-existing condition exclusions were typically invoked following a process called post-claims underwriting.  If a policyholder would submit a claim for an expensive service or condition during the first year of coverage, the individual market insurer would conduct an investigation to determine whether the condition could be classified as pre-existing. In some cases, post-claims underwriting might also result in coverage being cancelled.  The investigations would also examine patient records for evidence that a pre-existing condition was known to the patient and should have been disclosed on the application.  In such cases, instead of invoking the pre-existing condition clause, an issuer might act to rescind the policy, arguing it would have not issued coverage in the first place had the pre-existing condition been disclosed.

Discussion

The Affordable Care Act guarantees access to health insurance in the individual market and ends other underwriting practices that left many people with pre-existing conditions uninsured or with limited coverage before the law. As discussions get underway to repeal and replace the ACA, this analysis quantifies the number of adults who would be at risk of being denied if they were to seek coverage in the individual market under pre-ACA rules. What types of protections are preserved for people with pre-existing conditions will be a key element in the debate over repealing and replacing the ACA. We estimate that at least 52 million non-elderly adult Americans (27% of those under the age of 65) have a health condition that would leave them uninsurable under medical underwriting practices used in the vast majority of state individual markets prior to the ACA. Results vary from state-to-state, with rates ranging around 22 – 23% in some Northern and Western states to 33% or more in some southern states. Our estimates are conservative and do not account for a number of conditions that were often declinable (but for which data are not available), nor do our estimates account for declinable medications, declinable occupations, and conditions that could lead to other adverse underwriting practices (such as higher premiums or exclusions). While most people with pre-existing conditions have employer or public coverage at any given time, many people seek individual market coverage at some point in their lives, such as when they are between jobs, retired, or self-employed. There is bipartisan desire to protect people with pre-existing conditions, but the details of replacement plans have yet to be ironed out, and those details will shape how accessible insurance is for people when they have health conditions.

Gary Claxton, Cynthia Cox, Larry Levitt, and Karen Pollitz are with the Kaiser Family Foundation. Anthony Damico is an independent consultant to the Kaiser Family Foundation.

Methods

To calculate nationwide prevalence rates of declinable health conditions, we reviewed the survey responses of nonelderly adults for all question items shown in Methods Table 1 using the CDC’s 2015 National Health Interview Survey (NHIS).  Approximately 27% of 18-64 year olds, or 52 million nonelderly adults, reported having at least one of these declinable conditions in response to the 2015 survey.  The CDC’s National Center for Health Statistics (NCHS) relies on the medical condition modules of the annual NHIS for many of its core publications on the topic; therefore, we consider this survey to be the most accurate means to estimate both the nationwide rate and weighted population. Since the NHIS does not include state identifiers nor sufficient sample size for most state-based estimates, we constructed a regression model for the CDC’s 2015 Behavioral Risk Factor Surveillance System (BRFSS) to estimate the prevalence of any of the declinable conditions shown in Methods Table 1 at the state level.  This model relied on three highly significant predictors: (a) respondent age; (b) self-reported fair or poor health status; (c) self-report of any of the overlapping variables shown in the left-hand column of Methods Table 1.  Across the two data sets, the prevalence rate calculated using the analogous questions (i.e. the left-hand column of Methods Table 1) lined up closely, with 20% of 18-64 year old survey respondents reporting at least one of those declinable conditions in the 2015 NHIS and 21% of 18-64 year olds in the 2015 BRFSS.  Applying this prediction model directly to the 2015 BRFSS microdata yielded a nationwide prevalence of any declinable condition of 28%, a near match to the NHIS nationwide estimate of 27%.

 

Methods Table 1: Declinable Medical Conditions Available in Survey Microdata
Declinable Condition Questions Available in both the 2015 National Health Interview Survey and also the 2015 Behavioral Risk Factor Surveillance System Declinable Condition Questions Available in only the 2015 National Health Interview Survey
Ever had CHD Melanoma Skin Cancer
Ever had Angina Any Other Heart Condition
Ever had Heart Attack Crohn’s Disease or Ulcerative Colitis
Ever had Stroke Epilepsy
Ever had COPD Difficulty Due to Mental Retardation
Ever had Emphysema Difficulty Due to Cerebral Palsy
Chronic Bronchitis in past 12 months Difficulty Due to Senility
Ever had Non-Skin Cancer Difficulty Due to Depression
Ever had Diabetes Difficulty Due to Endocrine Problem
Weak or Failing Kidneys Difficulty Due to Blood Forming Organ Problem
BMI > 40 Difficulty Due to Drug / Alcohol / Substance Abuse
Pregnant Difficulty Due to Schizophrenia, ADD, or Bipolar Disorder

In order to align BRFSS to NHIS overall statistics, we then applied a Generalized Regression Estimator (GREG) to scale down the BRFSS microdata’s prevalence rate and population estimate to the equivalent estimates from NHIS, 27% and 52 million.  Since the regression described in the previous paragraph already predicted the prevalence rate of declinable conditions in BRFSS by using survey variables shared across the two datasets, this secondary calibration solely served to produce a more conservative estimate of declinable conditions by calibrating BRFSS estimates to the NHIS.  After applying this calibration, we calculated state-specific prevalence rates and population estimates off of this post-stratified BRFSS sample. The programming code, written using the statistical computing package R v.3.3.2, is available upon request for people interested in replicating this approach for their own analysis.

This article was written by Gary Claxton, Cynthia Cox, Anthony Damico, Larry Levitt and Karen Pollitz on Kaiser Family Foundation. Published: Dec 12, 2016