PLEASE NOTE: PDFs of the 2018 survey can be purchased here.
The 2018 Milliman Long Term Care Insurance Survey is the 20th consecutive annual review of long-term care insurance (LTCI) published by Broker World magazine. It analyzes the marketplace, reports sales distributions, and details available products.
This year, in addition to individual policies sold directly to individuals or through multi-life groups (primarily small groups) with discounts and/or underwriting concessions, the survey also includes Genworth group sales as part of the multi-life sales. (Genworth is the only insurer issuing new LTCI policies on group policies and certificates.)
More analysis of worksite sales will appear in the August issue of Broker World magazine.
Unless otherwise indicated, references are solely to U.S. stand-alone LTCI sales, excluding exercised future purchase options or other changes to existing coverage. “Stand-alone” refers to LTCI policies that do not include death benefits (other than returning premiums upon death or waiving a surviving spouse’s premiums), annuity, or disability income benefits.
Highlights from This Year’s Survey
Ten carriers participated broadly in this survey. Seven others provided sales information so we could report more accurate aggregate industry individual and multi-life sales.
CalPERS (the California Public Employees’ Retirement System) is a first-time participant. As shown in the Product Exhibit, its product is comparable to others. However, CalPERS is unique in the long term care space in that it is not an insurance company or a third-party administrator.
As noted above, Genworth’s group line is new to the survey. Genworth’s individual and group lines are counted as a single participant.
The two carriers which sell the most worksite LTCI reported statistical distributions last year but not this year, so this year’s distributions are over-weighted toward individual sales. The inclusion of Genworth’s group product reduces that shift in distribution.
State Farm discontinued stand-alone LTCI sales in May 2018, hence is no longer included in the Product Exhibit.
Although not displaying products, Northwestern LTC provided background statistical information. Auto-Owners, John Hancock, LifeSecure, National Guardian, State Farm, Transamerica and United Security Life contributed to the sales total but did not provide broad statistical information.
Participants’ individual claims rose 6.1 percent and group claims rose 10.3 percent. Overall, the stand-alone LTCI industry incurred $11.1 billion in claims in 2016 based on companies’ statutory annual filings, raising total incurred claims from 1991 through 2016 to $118.9 billion. (Note: 2016 was the most recent year available when this article was written.) Most of these claims were incurred by insurers that no longer sell LTCI. This compares with $9.5 billion of incurred claims in 2015, a 14 percent increase. Combo LTC claims are in their infancy and amounted to $5.9 million. The claim figures are even more startling considering that only 4 percent of 7 million covered individuals were on claim at the end of 2016.
Only 59.0 percent of applications resulted in active policies. This low success ratio contributes to financial advisors’ reluctance to recommend that clients apply for LTCI.
About the Survey
This article is arranged in the following sections:
Market Perspective (more detail in subsequent parts of the article)
LTCI claims paid by insurers no longer selling LTCI might differ significantly from data reported below because their claimants might be more likely to have facility-only coverage, be older, etc.
Table 1 shows claim distribution based on dollars of payments, whereas Table 2 shows distribution based on number of claims.
Individual claims shifted significantly away from nursing homes (from 37.4 percent to 32.1 percent) to ALFs (31.2 percent to 35.3 percent). We’ve expected on-going shift away from nursing homes (because of consumer preferences and because an increasing percentage of claims are on comprehensive policies), but about 60 percent of the change in Table 1 is attributable to different insurers providing 2017 claims information than in 2016.
In the distribution based on number of claims (Table 2), a person who received care in more than one venue is counted once for each venue, but not double-counted in the total line.
Eight carriers reported their number of open claims at year-end. Six of the eight insurers reported that their pending number of claims at year-end was between 67 percent and 82 percent of the number of claims they paid during the year.
Table 3 shows average size individual and group claims since inception. Because claimants can submit claims from more than one type of venue, the average total claim should generally be larger than the average claim paid relative to a particular venue. Nonetheless, ALFs consistently show high average size individual claims, probably because:
a) ALF claims appear to last longer compared with other venues.
b) Nursing home costs are more likely than ALF costs to exceed the policy maximum. Hence the maximum daily benefit negates part of the additional daily cost of nursing homes. (Quantified below.)
c) If people maximize the use of their maximum monthly benefits, they’ll spend nearly the same on an ALF as on a nursing home.
d) Although some surveys report that ALFs cost about half as much as nursing homes on average, ALFs often charge more for a memory unit or more substantial care for levels of assistance that align more closely with care provided in a nursing home. Also upscale ALFs seem to cost a higher percentage of upscale nursing home costs than is true of the average ALF.
Some people may have expected that ALF claims would be less expensive than nursing home claims because ALFs cost less per month. But that has not been the case.
Except for home care, the individual average claims rose about one-third in 2017. These increases were also significantly attributable to a change in participants.
The following factors cause our average claim sizes to be understated:
Past average claim data understates the value of buying LTCI because the many small claims drive down the average claim. LTCI can provide significant financial return for people who need care one year or longer. The purpose of insurance is to protect against a non-average result, so the amount of protection, as well as average claim, is important.
The average group claim is smaller than the average individual claim, but closer this year than in the past due to a change in insurers providing the data. Group claims tend to be smaller because of shorter benefit periods, lower maximum daily benefits, fewer benefit increase features, and more common reduced maximums for home care.
Only two participants were able to answer our one-time questions to study what percentage of claims use the full maximum monthly benefit. One had a higher percentage of claims use the maximum benefit in each cell, especially for ALFs and community care (home care and adult day care), but the two insurers showed the following consistent patterns:
Home care claims with monthly determination of benefits are more likely to pay the maximum monthly benefit than home care claims with daily maximums. We did not distinguish claims based on that characteristic, but believe the insurer with fewer community care claims using the full maximum had a higher percentage of policies with daily determination.
Table 5 conveys the false impression that home and adult day care (“community care”) claims are more likely to use the maximum if they have increasing benefits. That result occurred because the insurer with fewer policies using maximum benefits, sold mostly flat community care benefits, while the insurer with more policies using maximum benefits sold mostly increasing community care benefits. As noted above, both insurers found that flat benefits were more likely to be entirely used.
We also asked one-time questions about the average monthly benefit paid by venue. To control the fact that ALF coverage is more common on more recent policies, we limited the question to policies issued between 2000 and 2005 which were on claim in 2017. Three insurers responded:
Six insurers were able to provide data regarding their current monthly exposure. The average current monthly maximum benefit per inforce policy ranged from $5,008 to $6,989, with a weighted average of $6,117. Expressed as a percentage of monthly inforce premium, the range was 2433 percent to 3948 percent, with a weighted average of 3148 percent. That means that the maximum monthly (annual) benefit is about 31.5 times the average monthly (annual) premium. Based on past studies, we believe the average inforce benefit period is more than four years, suggesting that the average protection is 126 times as large as the average annual premium, including premium increases which have occurred and ignoring future benefit increases.
While we were putting this article together, a state regulator expressed concern that payment of unjustified claims contributes to LTCI rate increases. We don’t think such claims have had a major impact on rate increases, but we have been glad to see the industry’s strong focus in recent years on ferreting out and resisting fraudulent claims.
Sales Statistical Analysis
Ten insurers contributed significant background data, but some were unable to contribute data in some areas. Seven other insurers (Auto-Owners, John Hancock, LifeSecure, National Guardian, State Farm, Transamerica and United Security) contributed their number of policies sold and new annualized premium, distinguishing worksite from other sales.
Sales characteristics vary significantly among insurers. Year-to-year variations in policy feature distributions may reflect changes in participants, participant practices and designs, participant or worksite market shares and industry trends.
Table 6 lists the top 11 carriers in 2017 new premium among those still offering LTCI. Mutual of Omaha continued its surge, moving into first place, with Northwestern a strong second. Together, they produced more than 50 percent of annualized first year premium in 2017. They are followed by five insurers with five percent to 10 percent market share each.
Worksite Market Share
Worksite business produced 22.0 percent of new insureds (see Table 7), but only 13.9 percent of premium because of its younger issue age distribution and less robust coverage. We’ve restated 2016 sales to include Genworth group, demonstrating that the percentage of sales from worksite sales has not changed much from 2016. Worksite sales consist of three different markets:
The amount of worksite sales reported and the distribution of worksite sales among the three sub-markets significantly impact product feature sales distributions. This year’s distributions underweight the voluntary and core/buy-up markets because carriers in those markets shared less statistical data than in the past. More information about worksite sales will appear in the August issue of Broker World magazine.
We asked a one-time question: Recognizing that combo life/LTCI policies are available in the worksite on a guaranteed issue basis (if there is satisfactory participation), do you envision offering worksite stand-alone LTCI policies on a guaranteed issue basis or with underwriting concessions within the next five years? No participant envisioned guaranteed issue, but three insurers envisioned instituting worksite health liberalizations.
Affinity Market Share
Reported affinity sales produced 7.3 percent of new insureds (see Table 8), but only 6.8 percent of premium. About 75 percent of the lower affinity average premium is attributable to the affinity discount. The balance may be due to younger issue age or less robust coverage. Prior to 2016, affinity sales did not include AARP sales.
Characteristics of Policies Sold
As shown in Table 9, the average premium per new insured ranged between $2,322 and $2,497 between 2011 and 2016, then surged to $2,596 in 2017. If we had had the same participants each year, the increase would have been larger. The increase was partly attributable to FPOs, hence overstates the average new sale premium. Three insurers reported average premiums below $1,600, while four insurers were over $3,000, with another at $2,995. The average premium per new purchasing unit (i.e., one person or a couple) also rose, from $3,496 to $3,734 (also inflated by FPOs). The lowest average premium was in Kansas ($2,278) followed by Louisiana ($2,310), while the highest average premium was in New York ($3,942) followed by Connecticut ($3,888). The average inforce premium jumped 8.5 percent to $2,296, due to rate increases and, to a much lower extent, FPO elections and termination of older policies.
Table 10 summarizes the distribution of sales by issue age band based on insured count. The average issue age rose to 56.7, the highest since 2013. The change in participants explains about 25 percent of the increase. Two participants have a minimum issue age of 40, one won’t issue below 30, and two won’t issue below 25.
Table 11 summarizes the distribution of sales by benefit period. The average notional benefit period dropped from 4.07 to 3.73, about 40 percent of which was attributable to the change in participants. Because of shared care benefits, total coverage was higher than the 3.73 average suggests. Nearly 62 percent of the sales had two-year or three-year benefit periods.
We asked a one-time question: How likely is it that your company might offer a lifetime/endless benefit period within the next five years, assuming that you could price it as conservatively as you might like? All nine respondents said it was unlikely, eight saying it was too risky, five each saying it was too expensive to generate many sales and would require too much risk-based capital or reserves, and three being concerned about anti-selection. However, one non-respondent has begun to offer a lifetime benefit period.
Maximum Monthly Benefit
Table 12 shows that monthly determination applied to 77.9 percent of 2017 policies, down from 81.0 percent in 2016. Without the change in carriers, the use of monthly determination would likely have increased. With monthly determination, low-expense days can leave more benefits to cover high-expense days. It was included automatically in 49.0 percent of policies (vs. 69.6 percent in 2016). Where it was optional, 56.7 percent purchased monthly determination (vs. only 37.5 percent in 2016).
Table 13 summarizes the distribution of sales by maximum monthly benefit at issue. The average maximum benefit decreased 1.5 percent to about $4,700 per month. It would have dropped more had the participants not changed.
Benefit Increase Features
Table 14 summarizes the distribution of sales by benefit increase feature. “Other compound” has grown a lot in the past two years. Many of those policies have compounding that stops after a fixed number of years. Some of the changes in distribution from 2016 are related to changes in participants.
Five percent compounded for life, which represented 56 percent of sales in 2003 and more than 47.5 percent of sales each year from 2006 to 2008, now accounts for only 1.5 percent of sales. Simple five percent increases were 19 percent of 2003 sales, but are now 0.2 percent of sales. All simple increase designs together account for one percent of sales (not shown in the table).
“Indexed Level Premium” policies are priced to have a level premium, but the benefit increase is tied to an index such as the consumer price index (CPI).
We project the age 80 maximum daily benefit by increasing the average daily benefit purchased from the average issue age to age 80, according to the distribution of benefit increase features, using current future purchase option (FPO) election rates and assuming a long term three percent CPI. The maximum benefit at age 80 (in 2040) for our 2017 average 57-year-old purchaser projects to $254/day. Had our average buyer bought an average 2016 policy at age 56, her/his age 80 benefit would be $281/day.
Five insurers provided both the number of available FPOs (at attained age rates) in 2017 and the number exercised, with 34.7 percent of insureds exercising FPOs (Table 15). By insurer, election rates varied from 13 percent to 73 percent. Insurers at the high end use a “negative election” approach; i.e., the increase applies unless specifically rejected. Insurers at the low end use “positive election” (the increase occurs only if specifically requested). Approximately half of the increase from 2016 is due to different participants.
Table 16 summarizes the distribution of sales by facility elimination period. As an overwhelming percentage of policies opt for 90-day elimination periods, we may see reduced flexibility offered in the future.
Table 17 shows that the percentage of policies with zero-day home care elimination period (but a longer facility elimination period) has dropped from 38.9 percent in 2013 to 13.4 percent in 2017 and that the percentage of policies with a calendar-day elimination period (EP) definition jumped to 43.7 percent. Those changes are caused by a change in sales distribution among carriers. For insurers which offer calendar-day EP, 45.5 percent of policies had the feature; in some cases it was automatic. It is important to understand that most calendar-day EP provisions do not start counting until a paid-service day has occurred.
Sales to Couples and Gender Distribution
Table 18 summarizes the distribution of sales by gender and couples status. The data in this table was not affected by the change in participants.
The biggest change was that 67.6 percent of healthy partners completed her/his purchase when the unhealthy partner was declined, compared to 71.4 percent in 2016. The drop is attributable to an insurer which shifted to a new product which removed the couples’ discount entirely under such circumstances. Their previous product had left the couples’ discount intact.
Among couples, 51.0 percent are females. Five participants reported 49.9 percent to 50.4 percent, with the full range being 49.2 percent to 53.8 percent. When only one of a couple buys, 55.9 percent are females, probably because the male partner is likely to be older and less likely to be insurable.
Shared Care and Other Couples’ Features
Table 19 summarizes sales of shared care and other couples’ features. The percentages are based on the number of policies sold to couples who both buy. Some insurers which do not offer Shared Care are also unable to tell us how many couples both buy, hence are not reflected in these calculations.
Changes in distribution by carrier can greatly impact year-to-year comparisons in Table 19, because some insurers embed survivorship or joint waiver automatically (sometimes only in some circumstances) while others offer it for an extra premium or don’t offer the feature.
Table 19 also shows the (higher) percentage that results from dividing the number of buyers by sales of insurers that offer the feature.
Table 20 provides additional breakdown on the characteristics of shared care sales. As shown on the right-hand side of Table 20, three-year and four-year benefit period policies are most likely (roughly 30 percent) to add shared care, although the percentages of shared care dropped for each benefit period, partly due to a change in participants. Partly because three-year benefit periods comprise 49.0 percent of sales, most policies with shared care are three-year benefit period policies (as shown on the left side of Table 20).
Above, we stated that shared care is selected by 37.4 percent of couples who both buy limited benefit period policies. However, Table 20 shows shared care comprised no more than 30.8 percent of any benefit period. Table 20 has lower percentages because Table 19 denominators are limited to people who buy with their spouse/partner whereas Table 20 denominators include all buyers. The concentration of shared care is more toward the two- and three-year benefits periods (76.4 percent of sales) than is true of all sales (61.7 percent are two- or three-year benefit periods). It appears that couples are more likely to buy short benefit periods than single buyers perhaps because couples plan to help provide care to each other, because shared care makes shorter benefit periods more acceptable and because single buyers are more likely to be female, hence opt for a longer benefit period.
Existence and Type of Home Care Coverage
One participant reported home-care-only policies, which accounted for 0.9 percent of industry sales. Four participants reported sales of facility-only policies, which accounted for 1.3 percent of total sales. Ninety-seven percent (96.8 percent) of the comprehensive policies included home care benefits at least equal to the facility benefit. These percentages are similar to 2016.
Partial cash alternative features (which allow claimants, in lieu of any other benefit that month, to use between 30 percent and 40 percent of their benefits for whatever purpose they wish) were included in 40.4 percent of sales. The two insurers that dominate such sales include these features automatically, making it easier for us to reflect the whole industry. Another insurer covers some family care that is part of the plan of care. Overall, therefore, the percentage of 2017-issued policies that cover some family-provided care was 44.1 percent.
As shown in Table 21, return of premium (ROP) features were included in 12.3 percent of all policies (a sharp drop from 26.7 percent in 2016). ROP returns some or all premiums (usually reduced by paid LTCI benefits) when a policyholder dies. Approximately 85 percent of policies with ROP arise from ROP features embedded automatically in the product, compared to 93 percent in 2016. Embedded features are designed to raise premiums minimally, typically decreasing the ROP benefit to $0 by age 75. Three factors contributed to the sharp drop in sales: Change in participants, a new product which replaced one that had an embedded ROP and change in distribution among carriers.
Ten percent (10.5 percent) of policies with limited benefit periods included a restoration of benefits (ROB) provision, which typically restores used benefits when the insured does not need services for at least six months. Approximately 83 percent of policies with ROB arose from ROB features automatically embedded, compared with 79 percent in 2016.
Shortened benefit period (SBP) nonforfeiture option was included in 1.6 percent of policies. SBP makes limited future LTCI benefits available to people who stop paying premiums after three or more years. However, five participants reported between two percent and 5.5 percent of their policies having SBP and one insurer reported 10.5 percent. None of the other participants reported any SBP, so SBP might be understated in our totals.
Only one insurer issued non-tax-qualified (NTQ) policies, which accounted for 0.2 percent of industry sales.
“Captive” (dedicated to one insurer) agents produced 47.3 percent of the policies. At one time, “captive” agents who sold LTCI tended to specialize in LTCI. Now many are agents of mutual companies.
Sales distribution by jurisdiction is posted on the Broker World website.
Only two insurers sold 10-year-pay, 20-year-pay, paid-to-65, or paid-to-75 policies in 2017, and one insurer offers single pay, collectively accounting for 0.3 percent of sales (compared to 0.7 percent in 2016). In 2018, more limited pay policies likely will be purchased, as a carrier has entered the market with single pay and 10-year pay.
With pricing from today’s policies expected to be more stable, premium increases are less likely, possibly reducing the attractiveness of limited pay. Furthermore, the add-on for 10-year-pay is greater it was in the past.
Nonetheless, limited-pay and single-pay policies are attractive to minimize post-retirement outflow and to accommodate §1035 exchanges.
We asked one-time questions about the prospects of more limited-pay products being developed. Only one of nine participants envisioned possible expansion of limited pay offerings. Seven of the eight companies that consider limited-pay to be unlikely in their future explained their hesitance. Five cited that guaranteeing the policy to be paid-up is too risky; four said the high price would limit sales (and another said that paid-up-at-65 does not generate sales, without attributing it to price); three were concerned about reserve strain; and two each expressed concern about investing reserves to get sufficient yield and about anti-selection.
An increasing percentage of inforce policies are becoming "paid-up," due to nonforfeiture features, having completed a limited premium period, survivorship features or other reasons. Eight participants reported that 3.0 percent of their combined inforce policies are paid-up. For those same participants, 2.8 percent of their policies have open claims (hence are likely to have premiums waived). So premium rate increases may not immediately apply up to roughly 6 percent of their policies.
When someone applies to Medicaid for long term care services, states with Partnership programs disregard assets up to the amount of benefits received from a Partnership-qualified policy. Partnership sales were reported in 44 jurisdictions in 2017, all but Alaska, District of Columbia, Hawaii, Massachusetts, Mississippi, Utah, and Vermont, where Partnership programs do not exist. Massachusetts has a somewhat similar program (MassHealth).
Two participants sold Partnership policies in 40 jurisdictions and another sold in 39. One participant has never certified Partnership conformance and insurers sometimes delay certifying policy forms as Partnership because of other priorities (e.g., needing time to comply with state-specific requirements to notify existing policyholders or offer an exchange). Such delay is not harmful, as certification is retroactive to policies already issued on that policy form if the policies have the required characteristics.
Few insurers sell Partnership policies in the original four Partnership states because of their different regulations. The number of insurers and percentage of total sales in those states that qualify for the Partnership are: California (two insurers, 0.1 percent of sales), Connecticut (three, 3.9 percent), Indiana (four, 1.5 percent), and New York (two, 3.6 percent).
In the other Partnership states, 61.9 percent of policies qualified for Partnership status.
In past survey articles, we noted that Partnership programs could be more successful if states broadened the eligibility requirements. Now 22 states allow one percent compounding to qualify for Partnership, which can help low-budget buyers qualify for Partnership and also enables worksite core programs to be Partnership-qualified. A higher percentage of policies should qualify for Partnership in the future if insurers and advisors leverage these opportunities.
Partnership programs could be more successful if:
Ten insurers contributed application case disposition data to Table 22. In 2017, 59.0 percent of applications were placed, including those that were modified, a record low. Less than half of the reduction in placement rate from last year was attributable to different participants.
Two insurers had a placement rate of about 40 percent and one reported a very high placement rate. The others placed 51 percent to 61 percent of their resolved applications. Low placement rates can be problematic for insurers, as cost per placed policy increases. In addition, low placement rates make it much harder to encourage advisors to discuss LTCI with their clients. In addition to wasting time and effort encouraging clients to apply for LTCI, advisors create disappointment for clients who are rejected.
As noted in the Market Perspective summary, insurers hope a higher placement rate will result from eApps and speedier processing resulting from reduced requirements for medical records. It is important for advisors and general agents to find ways to improve pre-qualification prior to app submission.
Decline rates set a new record, 25.3 percent of applications and 28.4 percent of insurer’s decisions, despite the lower decline rate for eApps and reduction in medical records and paramedicals.
Our placed percentages reflect the insurers’ perspective. A higher percentage of applicants secure coverage because applicants denied by one carrier may be issued either stand-alone or combination coverage by another carrier or may receive coverage with the same insurer after a deferral period.
Ten insurers contributed data to Table 23, which divides the number of uses of each underwriting tool by the number of applications processed. For example, the number of medical records was 88 percent of the number of applications. That does not mean that 88 percent of the applications involved medical records, because some applications resulted in more than one set of medical records being requested.
Insurers are trying to speed underwriting to increase placement rates. Thus phone interviews, prescription profiles and MIB2 have replaced some requests for medical records. An insurer which had used a lot of paramedicals decided to reduce such use substantially.
The huge increase in MIB requests was despite the change in participants. One carrier started using MIB and another increased use of MIB substantially.
Year-to-year changes in distribution of sales among insurers significantly impacts results. Lower maximum ages result in fewer face-to-face exams. Note: an insurer might underreport the use of an underwriting tool because it may lack a good source for that statistic.
Table 24 shows that the average time from receipt of application to mailing the policy increased back to the 2015 average, despite the underwriting changes mentioned above and the increased use of eApps. About one-third of the difference between our corrected 2016 figure and the 2017 result is due to difference in participants.
Table 25 shows that a higher percentage of policies was issued in the most favorable rating classification (and in the top two most favorable rating classifications) than in any year since 2012. However, about 75 percent of the increase in the most favorable classification percentage, compared to 2016, was attributable to change in participants, as work-site cases generally don’t qualify for a preferred health discount. Most of the rest was attributable to discontinuation of preferred discount, resulting in the “standard” classification being the “best” class for the carrier.
Tables 26 and 27 summarize by issue age for fully underwritten policies the percentage of applications that were placed in the most favorable class (Table 26) and the percentage which were declined or deferred (Table 27). More participants were able to contribute to Table 25 than to Tables 26 and 27. Change of participants had less impact on these tables than on Table 25, but removal of preferred rating class had significant impact on Table 26.
We asked two one-time questions to determine insurer concern about consumer access to genetic testing. On a scale of 1 (negligible) to 10 (incredibly serious), the average level of concern regarding anti-selective purchases in the next five years was 5.5, while the average level of concern regarding anti-selective lapses was 4.1. Half of the responders ranked both risks equally, while the other half ranked anti-selective lapses on average 2.8 slots lower in significance.
Asked how the industry could protect itself, participants suggested: a) educate regulators and legislators regarding the importance of disclosing all information impacting morbidity or mortality; b) maintain legislation permitting access to consumers’ known genetic results; c) maintain current cognitive screening protocols; d) tight underwriting; e) do not issue below an age by which some genetic diseases become evident (for example, Huntington’s generally manifests by age 50); and, f) educate advisors about the importance of LTCI (hence presumably getting a higher percentage of the public insured). Item b) appears to be the key defense, yet may be inadequate.
The two issues may merge as people may be advised to apply for LTCI before pursuing genetic testing. If the result is unfavorable, the client keeps the policy. If it is favorable, the client is likely to lapse the policy.
Subsequent to our questionnaire, at the 2018 Intercompany Long Term Care Insurance Conference, Wayne Heidenreich cited data demonstrating genetic-test-result anti-selection:
Regarding the following conditions, the insurers were evenly split between anxiety underwriting getting tighter, staying the same or being loosened. For the other conditions, tightening was seen as more likely than loosening up, but 22 percent of the insurers envisioned possibly loosening up relative to bipolar, depression, OCD, and non-insulin-dependent diabetes. One insurer even envisioned loosening up the classification of insulin-dependent diabetes, as shown in Table 28.
If insurers tighten up their underwriting standards, the placement rate might drop. Furthermore, the American College of Physicians recently published a guidance statement in the Annals of Internal Medicine, recommending that Type 2 diabetics not take medication to reduce their A1C levels if their A1C levels are in the seven percent to eight percent range. This recommendation could lead to a higher decline rate in the future.
Please CLICK HERE to find the following additional information:
Product Details, a row-by-row definition of the product exhibit entries, with a little commentary.
Premium Exhibit, which shows lifetime annual premiums for each insurer’s most common underwriting class, for issue ages 40, 50, 60, and 70 for single females, single males, and heterosexual couples (assuming both buy at the same age), based on $100 per day (or closest equivalent weekly or monthly) benefit, 90-day facility and default home care elimination period (other aspects vary), three-year and five-year benefit periods or $100,000 and $200,000 maximum lifetime buckets, with and without Shared Care and with flat benefits or automatic five percent annual compound benefit increases for life. The exhibit includes facility-only policies, as well as comprehensive policies. Worksite products do not reflect any worksite-specific discount.
Premium Adjustments (from our published prices) by underwriting class for each participant.
Distribution by underwriting class for each participant.
State-by-state results: Percentage of sales by state, average premium by state and percentage of policies qualifying for Partnership by state.
We thank insurance company staff for submitting the data and responding to questions promptly. We also thank Nicole Gaspar and Alex Geanous of Milliman for managing the data expertly.
We reviewed data for reasonableness and insurers reviewed their product exhibit displays. Nonetheless, we cannot assure that all data is accurate.
If you have suggestions for improving this survey (including new entrants in the market), please contact one of the authors.
founded Thau, Inc. to help build a sound long term care insurance industry. He does that by: wholesaling LTCI through financial advisors nationwide in conjunction with Target Insurance Services; consulting for insurers, other consulting firms, employers, regulators, etc., (for example, he was a consultant to the Federal LTCI program); and by doing pro bono work related to LTCI and long term care. He believes LTCI is a secondary industry, as there is no purpose to LTCI if people can’t get good quality care. Thau’s LTCI experience is unusually broad and deep. After a career as an actuary, he accepted responsibility for a major company's LTCI division, which then grew five times as fast as the rest of the LTCI industry for each of three consecutive years. When the entire company was sold, he set up his own company in 2000. Since 2005, he has been the lead author of the annual LTCI surveys printed in Broker World. In 2007, he was named one of the 10 “Power People” in the LTCI industry by Senior Market Advisor. A former inner-city public school teacher, Thau enjoys mentoring financial advisors to help them decide how they can grow their business and educate their clients. He can be reached by telephone at 913-403-5824. Fax: 913-384-3781. Email: email@example.com.
Allen Schmitz, FSA, MAAA
Schmitz, FSA, MAAA, is a principal and consulting actuary with the Milwaukee office of Milliman. Schmitz can be reached at 15800 Bluemound Rd., Brookfield, WI 53005. Telephone: 262-796-3477. Email: firstname.lastname@example.org.
FSA, MAAA, is a principal and consulting actuary in the Milwaukee office of Milliman, Inc. He can be reached at 15800 Bluemound Road, Suite 100, Brookfield, WI 53005. Telephone: 262-796-3407. Email: email@example.com.