U.S. Department of Health and Human Services
A Comparative Analysis of the Socio-Demographic and
Attitudinal Characteristics of Active Buyers and Non-Buyers of Long-Term Care
Insurance in the Federal, Private and Public Sectors
LifePlans, Inc.
August 25, 2004
PDF Version (35 PDF pages)
This data brief was prepared under contract between the U.S.
Department of Health and Human Services (HHS), Office of Disability, Aging and
Long-Term Care Policy (DALTCP) and Abt Associates. The brief was written by
LifePlans, Inc. For additional information about the study, you may visit the
DALTCP home page at http://aspe.hhs.gov/_/office_specific/daltcp.cfm or contact
the ASPE Project Officer, Hunter McKay, at HHS/ASPE/DALTCP, Room 424E, H.H.
Humphrey Building, 200 Independence Avenue, SW, Washington, DC 20201. His
e-mail address is: Hunter.McKay@hhs.gov.
I. BACKGROUND
One of the more ambitious proposals for encouraging growth in the
private insurance market was passage of the Long Term Care Security Act (Public
Law 106-265). This Act was passed in the summer of 2000 and was signed into law
on September 19th of that year. It authorized the U.S. Office of Personnel
Management (OPM) to contract for a long-term care (LTC) insurance program for
federal employees. Coverage would be available to active federal employees and
annuitants (civilian retirees), as well as active and retired members of the
uniformed services. "Qualified relatives" of active workers and military
personnel including spouses, adult children, parents, and parents-in-law would
also be covered by the program. OPM expected that, like the health and life
insurance programs it administers, the Federal Long-Term Care Insurance Program
(FLTCIP) would become the largest employer-sponsored LTC insurance program in
the nation.
The development of the program was in part meant to send a message to
other employers around the country that a "progressive" employer is one that
offers LTC insurance to its employees. Naturally it was expected that
implementation of the program would spur additional interest and growth in the
market. The program began in earnest in July 2002, which constituted the
beginning of the open enrollment period. The carriers underwriting the program
-- John Hancock and MetLife -- formed a joint venture called Long Term Care
Partners, LLC, which is devoted exclusively to administering the program.
Long Term Care Partners conducted one of the largest LTC educational
campaigns ever. More than one million people requested enrollment kits. As of
August 2004, more than 300,000 applications had been received and more than
210,000 policies issued. About 64% of enrollees were active employees and
spouses, 31% annuitants and their spouses, and another 5% surviving spouses,
parents/in-laws and adult children. Thus, in relatively short order, the FLTCIP
became one of the largest group programs in the United States. In part this was
due to the significant marketing and enrollment activities including more than
2,100 educational meetings, briefings to human resources staff and outreach
programs to affinity groups.
The large number of enrollments affords a unique opportunity to better
understand the attitudes and perspectives of both working and retired
individuals regarding LTC concerns, the importance of planning, and the role
that insurance may (or may not) play in meeting the needs of disabled
individuals. An examination of such attitudes can assist policymakers as well
as insurers to better understand marketplace opportunities and barriers, and
devise strategies to encourage growth in the market.
II. PURPOSE
This is the seventh in a series of data briefs based on the information
collected from active buyers and non-buyers of the federal program, other
public LTC insurance programs, and private employer group insurance plans. The
purpose of this data brief is to analyze survey data collected from members of
the federal family and compare their attitudes and opinions to those of
individuals offered coverage in other public programs as well as those offered
coverage in private sector employer-group settings. The analysis focuses on the
attitudes, opinions and motivations of individuals who purchased and did not
purchase policies, and on their experience with LTC, and opinions about LTC
insurance. Relevant research questions answered in this brief include (but are
not limited to) the following:
- How do the demographic and characteristics of active buyers and
non-buyers differ across these market segments?
- What are the attitudes and opinions about retirement planning among
active buyers and non-buyers across these market segments?
- What are the similarities and/or differences in knowledge of LTC and
insurance among the samples?
III. METHOD AND SAMPLE
Long Term Care Partners used mail surveys to collect information from
active buyers and non-buyers. For purposes of this research, the active sample
consists of employees who are actively working. A "buyer" is someone who
has purchased the insurance plan and paid premiums beyond the free look period.
A "non-buyer" is defined as someone who expressed interest in a program
but had not purchased the plan at the time that the survey was completed.
Three market segments are analyzed: (1) The Federal Long-Term Care
Insurance Program "(FLTCIP)"; (2) The Employer Group market "(Private
Programs)"; and (3) Other Public LTC Insurance Programs "(Public Programs)".
Table 1 shows the number of active buyer and non-buyer
respondents in each market segment. As shown, roughly 3,700 individuals
participated in the various surveys of actives, all of which have been
conducted within the last five years.1 The number of employers represented in the
"Private Programs" sample is nine and there are four large state programs
represented in the "Public Market" category. It should be noted that not all of
these interviewees have responded to all of the questions that are presented
here and in a number of cases, comparability issues preclude direct comparisons
of responses across surveys.
| Table 1: Buyer and Non-Buyer
Respondents by Market Segment |
| |
Federal Program "FLTCIP" |
Nine Employer Groups "Private
Programs" |
Four State Sponsored Programs "Public
Programs" |
| Active
Buyers |
642 |
501 |
1,061 |
| Active
Non-Buyers |
575 |
164 |
762 |
| Total |
1,217 |
665 |
1,823 |
| NOTE:
The state programs include the North Carolina State Teachers, Minnesota Public
Employees, the California Public Employees Retirement System (CALPERS) and
Michigan Public Employees. |
The analyses are conducted separately for active buyers and non-buyers
and unless otherwise noted, all of the differences among the samples described
in this brief are statistically significant at the 5% level or better. Also
note that the reference group to which most comparisons are made is the FLTCIP.
IV. FINDINGS
A. Socio-Demographic Characteristics
Figure 1 summarizes important demographic
characteristics of the active sample by market segment. As shown, compared to
other market segments, buyers of the FLTCIP tend to be somewhat older, are less
likely to be married, and more likely to be male than buyers in the other
market segments. The average age of buyers of the FLTCIP is 53 years whereas
for other public programs it is 50 years; the private programs examined have
the youngest average age -- 47 years. FLTCIP buyers also tend to have higher
income levels, which may reflect the fact that they are also older, hence have
more years of experience in the labor force. On the other hand, compared to
buyers in the private market they are less likely to have accumulated high
levels of liquid assets and they are also less likely to have children living
nearby. This suggests that many of the FLTCIP and Public Program buyers may
view having LTC insurance as enabling them to purchase services that would
otherwise have been provided by family members. In contrast, private program
buyers, who are more likely to be married and have children living nearby, may
view the role of the insurance as protecting higher levels of accumulated
assets or as meeting other objectives.
| Figure 1:
Demographic Characteristics of Active Buyers by Market Segment |
 |
| Source: Analysis of data from the
FLTCIP, 2003; America's Health Insurance Plans, 2000; MetLife, 2001;
MedAmerica, 2000. |
Figure 2 compares the demographic characteristics
of individuals who chose not to purchase a policy by market segment. As shown,
non-buyers of the FLTCIP tend to be older than those in other market segments
-- 53 years compared to 49 years in public programs and 45 years in private
programs. They also tend to be more male and have higher levels of income yet
lower levels of assets. In contrast to active buyers there are no significant
differences in the proportion that are married and have children living nearby
across the market segments.
| Figure 2:
Demographic Characteristics of Active Non-Buyers by Market
Segment |
 |
| Source: Analysis of data from the
FLTCIP, 2003; America's Health Insurance Plans, 2000; MetLife, 2001;
MedAmerica, 2000. |
When we examine and compare buyers to non-buyers across market segments,
we find that the greatest variable of difference that is consistent across
markets is wealth: non-buyers tend to have lower levels of assets and lower
incomes than buyers.
B. Attitudes and Opinions about Retirement Planning and
Long-Term Care
One thing that we know from previous briefs is that federal employees as
a whole seem to be active in planning for their retirement and understand the
potential LTC risks associated with later life. One would expect that buyers
would at least be most likely to feel confident about their planning for both
retirement and LTC, and more likely to be concerned about being prepared for
future LTC needs. We asked a series of questions designed to illuminate
differences across markets and between buyers and non-buyers regarding these
issues.
Figure 3 shows how buyers across market segments
feel about retirement and LTC planning. Many of the questions were not asked of
Private Program buyers so comparisons to this group are somewhat more limited.
What is striking is the very high percentage of FLTCIP buyers who have done
retirement planning and who have given a great deal of thought to paying for
LTC when compared with buyers of other public programs. This may reflect the
very targeted and focused marketing and education campaign to which the FLTCIP
buyers were exposed.
| Figure 3: Attitudes
about Retirement Planning among Buyers by Market Segment |
 |
| Source: Analysis of data from the
FLTCIP, 2003; America's Health Insurance Plans, 2000; MetLife, 2001;
MedAmerica, 2000. |
Somewhat surprisingly, private program buyers are more likely to express
concern about how they will pay for LTC expenses than are FLTCIP buyers. This
may reflect an underlying uncertainty about the continued value of the product
or about the stability of the company offering the product. Given the very
strong affinity among federal employees, the fact that they are somewhat less
concerned about paying for LTC may reflect their belief that the government
will continue to protect their interests well into the future. Alternatively,
that relatively high percentages of buyers in each market segment continue to
worry about paying for LTC suggests that there may remain uncertainty about the
product or about the level of coverage chosen.
The insurance industry has invested heavily in educating consumers about
LTC financing. Buyers were asked who would pay for LTC expenses in the absence
of insurance. Somewhat surprisingly, private market buyers were most likely to
understand that the liability would fall on their shoulders. A smaller
percentage of FLTCIP and other public program buyers believed that they would
have to pay for LTC in the absence of their policy; they were more likely to
believe that other insurance or other government programs would pay for the
care. As well, many were unsure about how such costs would be paid (in the
absence of their insurance).
Figure 4 displays similar results for non-buyers
across each of the market segments. As shown, FLTCIP non-buyers are much more
likely to have engaged in retirement planning than other public program
non-buyers. They are, however, less concerned about paying for LTC. This may be
explained in part by the fact that they are also more likely to believe that
other insurance or government programs will pay for LTC if it is needed. Also,
private program non-buyers are much more likely to be concerned about paying
for LTC; they have a better understanding that the liability would be theirs
and would not be covered by other programs or insurance.
| Figure 4: Attitudes
about Retirement Planning among Non-Buyers by Market Segment |
 |
| Source: Analysis of data from the
FLTCIP, 2003; America's Health Insurance Plans, 2000; MetLife, 2001;
MedAmerica, 2000. |
When comparing buyers and non-buyers across the market segments, a
fairly consistent pattern emerges. Buyers are more likely to have done
retirement planning, are more confident that they will have adequate resources
to enjoy their retirement, have given more thought to paying for LTC, and are
more likely to understand that without private insurance, the LTC liability
will fall on their shoulders.
C. The Purchase Process
Prior research has shown that most individuals who purchase LTC
insurance consult with others before doing so. This is also true of buyers
across these three market segments. Buyers of the FLTCIP were, however, more
likely to have consulted with a financial planner, work colleague, and children
than were buyers in either of the other two market segments.
Non-buyers in the FLTCIP and public program samples were asked how
likely they thought it was that they would buy insurance when they requested
information about their respective programs. A significant proportion in both
groups -- 70% of FLTCIP non-buyers and 80% of public program non-buyers --
thought that they would buy a policy. Obviously, something along the way
changed their mind or their initial purchase commitment was weak. When asked
about the application process itself, similar proportions of both market
segments -- roughly 25% -- indicated that they found the application difficult
to understand. This may explain in part, why they did not proceed to buy a
policy. Also, as shown below in Figure 5, for the most
part, non-buyers in each of the two market segments were less likely to have
actively engaged in activities designed to educate and reinforce the need for
insurance protection against the cost of LTC.
| Figure 5: Exposure
to Promotional Activities by Market Segment and Purchase Status |
 |
| Source: Analysis of data from the
FLTCIP, 2003; America's Health Insurance Plans, 2000; MetLife, 2001;
MedAmerica, 2000. |
D. Motivations Behind the Purchase and Non-Purchase
Decision by Market Segment
We have already demonstrated that there are a number of
socio-demographic and attitudinal differences among buyers across each of the
market segments and among non-buyers in the different segments.
Figure 6 below highlights the single most important
reason why buyers in each of the market segments chose to purchase a policy. As
shown there are significant differences across market segments. Among FLTCIP
buyers, assuring that care is affordable when needed is the most important
purchase motivation. Among buyers of public programs, being able to avoid
having to rely on relatives for care is the most important reason for having a
policy. Finally, the most important purchase reason for private market buyers
is to avoid having to use family resources to pay for care.
| Figure 6: Single
Most Important Reason for Buying a Policy by Market Segment |
 |
| Source: Analysis of data from the
FLTCIP, 2003; America's Health Insurance Plans, 2000; MetLife, 2001;
MedAmerica, 2000. |
An important point worth noting is that there is less variation in
purchase reasons for FLTCIP and public program buyers compared to buyers in the
private market. This suggests that the targeted marketing and education
campaigns that accompany public program rollouts do focus the attention of
buyers on a number of key points regarding the value of the insurance.
Figure 7 below shows the reasons cited by
non-buyers as relevant to their decision not to buy a policy. As shown, across
each market segment, cost remains the largest barrier to purchase. Between 48%
and 72% of respondents cited this as a reason for non-purchase. Roughly
one-in-six FLTCIP non-buyers and one-in-four public program non-buyers believe
that they do not need the insurance because Medicare or Medicaid will pay. In
contrast, the overwhelming majority of non-buyers from public programs do not
have this belief: almost none of them believe that the presence of Medicaid or
Medicare is a sufficient reason not to buy the insurance.
| Figure 7: Reasons
for Not Buying a Policy by Market Segment |
 |
| Source: Analysis of data from the
FLTCIP, 2003; America's Health Insurance Plans, 2000; MetLife, 2001;
MedAmerica, 2000. |
An interesting finding is that roughly equal proportions of non-buyers
across each of these market segments indicate that they are planning to buy the
insurance at a later time. Clearly, these "first-time" non-buyers represent a
future marketing opportunity. A marketing campaign designed to stress the value
of a policy relative to its cost as well as the advantages of purchasing at
younger ages, may be particularly effective at "turning" these reluctant
potential buyers into actual purchasers.
V. CONCLUSIONS
For the most part, the differences between buyers and non-buyers across
each of the market segments are those one would expect. On the other hand, not
all "buyers" are the same and neither are all "non-buyers". There are
differences in attitudes, socio-demographic characteristics and decision-making
that are a function of market segment. Such differences underscore the
importance of a highly targeted marketing campaign with a discrete number of
messages about LTC, insurance and retirement planning.
NOTES
-
The Appendix also
summarizes information about the retiree sample, of which there are an
additional 5,000 respondents.
Notes for Tables
Unless otherwise indicated, the analysis of the data is based on the
responses of 642 active buyers, 575 active non-buyers, 1114 retired buyers, and
586 retired non-buyers from the FLTCIP; 501 active buyers, 164 active
non-buyers, 1841 retired buyers, and 360 retired non-buyers from employer group
plans; 232 active buyers from North Carolina State Teachers; 198 active buyers,
102 active non-buyers, 162 retired buyers, and 138 retired non-buyers from the
California Public Employees Retirement System (CALPERS); 504 active buyers and
326 active non-buyers from the State of Minnesota public employees, and 127
active buyers, 334 active non-buyers, 63 retired buyers, and 279 retired
non-buyers from the State of Michigan public employees. It should be noted that
not all of these interviewees have responded to all of the questions that we
have presented here.
All significance tests are based on 5% level or better. Notations for
significance are as follows: If one category out of three contains the symbol
(*), then the category starred is statistically different from each of the
other two categories, but the non-starred categories are not different from
each other. If two categories out of the three contain the symbol (*), then
those two categories are statistically different from each other, but each of
those categories is not statistically different from the third one. If all
three categories contain the symbol (*), then all three are statistically
different from each other.
Unless otherwise specified, only the response category that has a
notation of significance was tested against all other categories. In some
cases, it was determined that a combination of categories would be tested.
These are indicated in the footnotes. It also may be the case that if
categories were or were not combined, it could change the results of the test
of significance.
Unless otherwise indicated, the first response category (i.e., strongly
agree, very important, very likely, etc.) or the yes response was tested.
Therefore, if there are no notations for significance, the test was not
significant at the 5% level.
| TABLE A-1: Socio-Demographic
Characteristics of Active Buyers1 |
| Socio-Demographic Characteristics |
FLTCIP |
Private Programs |
Public Programs |
| Average
age |
53* |
47* |
50* |
| Less than 50 |
27% |
57% |
43% |
| 50 to 54 |
25 |
25 |
25 |
| 55 to 59 |
26 |
13 |
20 |
| 60 to 64 |
15 |
4 |
9 |
| 65 and over |
7 |
1 |
3 |
| Gender |
| Male |
50* |
47 |
37* |
| Female |
50 |
43 |
63 |
| Marital
status |
| Never Married |
17 |
18 |
14 |
| Married |
59* |
66 |
68* |
| Divorced/separated |
18 |
14 |
12 |
| Widowed |
4 |
2 |
3 |
| Domestic Partner |
2 |
0 |
3 |
| Presence of
children living within 25 miles2 |
| Yes |
42 |
43 |
42 |
| No |
58 |
47* |
58 |
| Education
level2 |
| Less than high school graduate |
0 |
0 |
0 |
| High school graduate |
6 |
9 |
5 |
| Technical/trade/business school |
4 |
5 |
6 |
| Some college |
20 |
21 |
17 |
| College graduate3 |
37 |
44 |
37 |
| Graduate degree |
33 |
21 |
35 |
| Income |
| Less than $30,000 |
3 |
8* |
3 |
| $30,000 to $69,999 |
29 |
32 |
42 |
| $70,000 or more |
68* |
60 |
55 |
| Assets2 |
| Less than $60,000 |
25 |
25 |
38* |
| $60,000 to $139,999 |
34 |
15 |
24 |
| $140,000 and above |
41 |
60* |
38 |
| Home
ownership4 |
| Yes |
90 |
|
87 |
| No |
10 |
|
13 |
- It should be noted that not all of these
interviewees have responded to all of the questions that we have presented
here.
- For this category, Public Programs include only
the CALPERS and the Minnesota databases.
- Here, having a college degree or better is
tested for significance against not having a college degree.
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-2: Socio-Demographic Characteristics of Active
Non-Buyers |
| Socio-Demographic Characteristics |
FLTCIP |
Private Programs |
Public Programs |
| Average
age |
53* |
45* |
49* |
| Less than 50 |
34% |
53% |
52% |
| 50 to 54 |
24 |
29 |
22 |
| 55 to 59 |
19 |
13 |
17 |
| 60 to 64 |
10 |
4 |
5 |
| 65 and over |
13 |
1 |
4 |
| Gender |
| Male |
59* |
37 |
44 |
| Female |
41 |
63 |
56 |
| Marital
status |
| Never Married |
10 |
17 |
12 |
| Married |
70 |
65 |
72 |
| Divorced/separated |
16 |
16 |
12 |
| Widowed |
3 |
2 |
2 |
| Domestic Partner |
1 |
0 |
2 |
| Presence of
children living within 25 miles1 |
| Yes |
59 |
57 |
52 |
| No |
41 |
43 |
48 |
| Education
level1 |
| Less than high school graduate |
1 |
1 |
0 |
| High school graduate |
13 |
12 |
9 |
| Technical/trade/business school |
5 |
9 |
9 |
| Some college |
30 |
18 |
16 |
| College graduate2 |
28* |
37 |
31* |
| Graduate degree |
23 |
23 |
35 |
| Income |
| Less than $30,000 |
7 |
14* |
6 |
| $30,000 to $69,999 |
43 |
48 |
50 |
| $70,000 or more |
50* |
38* |
44 |
| Assets1 |
| Less than $60,000 |
44 |
50 |
44 |
| $60,000 to $139,999 |
32 |
22 |
25 |
| $140,000 and above |
24* |
28 |
31* |
| Home
ownership3 |
| Yes |
86 |
|
80 |
| No |
14 |
|
20 |
- For this category, Public Programs include only
the CALPERS and the Minnesota databases.
- Here, having a college degree or better is
tested for significance against not having a college degree.
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-3: Socio-Demographic
Characteristics of Retired Buyers |
| Socio-Demographic Characteristics |
FLTCIP |
Private Programs |
Public Programs |
| Average
age |
66* |
67* |
63* |
| Less than 50 |
1% |
1% |
0% |
| 50 to 54 |
3 |
4 |
13 |
| 55 to 59 |
14 |
10 |
17 |
| 60 to 64 |
24 |
22 |
31 |
| 65 and over |
58 |
63 |
39 |
| Gender |
| Male |
70* |
43 |
42 |
| Female |
30 |
57 |
58 |
| Marital
status |
| Never Married |
9 |
4 |
7 |
| Married |
68 |
72* |
61* |
| Divorced/separated |
10 |
5 |
18 |
| Widowed |
12 |
19 |
13 |
| Domestic Partner |
1 |
0 |
1 |
| Presence of
children living within 25 miles1 |
| Yes |
51* |
62* |
58 |
| No |
49 |
38 |
42 |
| Education
level1 |
| Less than high school graduate |
1 |
5 |
0 |
| High school graduate |
14 |
22 |
5 |
| Technical/trade/business school |
5 |
7 |
1 |
| Some college |
22 |
19 |
29 |
| College graduate2 |
30 |
24* |
21 |
| Graduate degree |
28 |
23 |
44 |
| Income |
| Less than $30,000 |
12 |
34* |
11 |
| $30,000 to $69,999 |
51 |
41 |
54 |
| $70,000 or more |
37 |
25* |
35 |
| Assets1 |
| Less than $60,000 |
17 |
18 |
23 |
| $60,000 to $139,999 |
30 |
22 |
33 |
| $140,000 and above |
53* |
60* |
44 |
| Home
ownership3 |
| Yes |
92* |
|
98 |
| No |
8 |
|
2 |
- For this category, Public Programs include only
the CALPERS and the Minnesota databases.
- Here, having a college degree or better is
tested for significance against not having a college degree.
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-4: Socio-Demographic
Characteristics of Retired Non-Buyers |
| Socio-Demographic Characteristics |
FLTCIP |
Private Programs |
Public Programs |
| Average
age |
71* |
70 |
69* |
| Less than 50 |
2% |
1% |
2% |
| 50 to 54 |
3 |
3 |
4 |
| 55 to 59 |
7 |
4 |
11 |
| 60 to 64 |
12 |
17 |
20 |
| 65 and over |
76 |
75 |
63 |
| Gender |
| Male |
74* |
41 |
34 |
| Female |
26 |
59 |
66 |
| Marital
status |
| Never Married |
4 |
3 |
6 |
| Married |
70* |
66 |
59* |
| Divorced/separated |
8 |
9 |
14 |
| Widowed |
18 |
22 |
21 |
| Domestic Partner |
0 |
0 |
0 |
| Presence of
children living within 25 miles1 |
| Yes |
55 |
62 |
53 |
| No |
45 |
38 |
47 |
| Education
level1 |
| Less than high school graduate |
4 |
7 |
0 |
| High school graduate |
17 |
29 |
3 |
| Technical/trade/business school |
8 |
9 |
2 |
| Some college |
29 |
20 |
23 |
| College graduate2 |
24* |
21* |
21* |
| Graduate degree |
18 |
14 |
51 |
| Income |
| Less than $30,000 |
29 |
60* |
22 |
| $30,000 to $69,999 |
50 |
30 |
54 |
| $70,000 or more |
21 |
10* |
24 |
| Assets1 |
| Less than $60,000 |
36 |
41 |
33 |
| $60,000 to $139,999 |
26 |
24 |
25 |
| $140,000 and above |
38 |
35 |
42 |
| Home
ownership3 |
| Yes |
90 |
|
88 |
| No |
10 |
|
12 |
- For this category, Public Programs include only
the CALPERS and the Minnesota databases.
- Here, having a college degree or better is
tested for significance against not having a college degree.
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-5: Attitudes and Opinions
About Retirement Planning and LTC Among Active Buyers |
| Attitudes and Opinions |
FLTCIP |
Private Programs |
Public Programs |
| Done
retirement planning1 |
| Yes |
87%* |
|
52% |
| No |
13 |
|
48 |
| Confident
that there is enough money to live comfortably in
retirement1 |
| Very confident |
17* |
|
36 |
| Somewhat confident |
66 |
|
57 |
| Not very confident |
13 |
|
4 |
| Not at all confident |
4 |
|
3 |
| Thought given
to paying for LTC expenses1 |
| A great deal |
60* |
|
40 |
| Some |
36 |
|
45 |
| Not much thought |
4 |
|
13 |
| No thought at all |
0 |
|
2 |
| I worry how
to pay for LTC |
| Strongly agree |
19* |
24 |
|
| Agree |
50 |
53 |
|
| Disagree |
26 |
22 |
|
| Strongly disagree |
5 |
1 |
|
| It is
important to plan now for the possibility of needing LTC services in the
future1 |
| Strongly agree |
54 |
53 |
52 |
| Agree |
45 |
44 |
46 |
| Disagree |
1 |
2 |
1 |
| Strongly disagree |
0 |
1 |
1 |
| LTC insurance
programs sold today will cover the cost of LTC services needed in the
future1 |
| Strongly agree |
10 |
|
11 |
| Agree |
73 |
|
74 |
| Disagree |
15 |
|
14 |
| Strongly disagree |
2 |
|
1 |
| How would LTC
costs be paid2,3 |
| My own income or my children will help
pay |
41* |
53* |
34* |
| Other sources will pay |
59 |
47 |
66 |
- For this category, Public Programs include only
the CALPERS database.
- The different surveys had different response
categories for "If you needed LTC and had no LTC insurance how would the cost
of LTC services be paid?" Here we report the percentage of those who said that
they will pay with own income or that they children will help them pay and
group all other responses in one category.
- For this category, Public Programs include only
the CALPERS and the Minnesota databases.
|
| TABLE A-6: Attitudes and Opinions
About Retirement Planning and LTC Among Active Non-Buyers |
| Attitudes and Opinions |
FLTCIP |
Private Programs |
Public Programs |
| Done
retirement planning1 |
| Yes |
78%* |
|
55% |
| No |
22 |
|
45 |
| Confident
that there is enough money to live comfortably in
retirement1 |
| Very confident |
14* |
|
24 |
| Somewhat confident |
55 |
|
54 |
| Not very confident |
24 |
|
16 |
| Not at all confident |
7 |
|
6 |
| Thought given
to paying for LTC expenses1 |
| A great deal |
28 |
|
23 |
| Some |
47 |
|
48 |
| Not much thought |
21 |
|
23 |
| No thought at all |
4 |
|
6 |
| I worry how
to pay for LTC |
| Strongly agree |
18* |
36 |
|
| Agree |
44 |
47 |
|
| Disagree |
32 |
17 |
|
| Strongly disagree |
6 |
0 |
|
| It is
important to plan now for the possibility of needing LTC services in the
future1 |
| Strongly agree |
27 |
31 |
35 |
| Agree |
57 |
59 |
57 |
| Disagree |
14 |
10 |
8 |
| Strongly disagree |
2 |
0 |
0 |
| LTC insurance
programs sold today will cover the cost of LTC services needed in the
future1 |
| Strongly agree |
3* |
|
8 |
| Agree |
41 |
|
51 |
| Disagree |
47 |
|
31 |
| Strongly disagree |
9 |
|
10 |
| How would LTC
costs be paid2,3 |
| My own income or my children will help
pay |
21 |
37* |
24 |
| Other sources will pay |
79 |
63 |
76 |
- For this category, Public Programs include only
the CALPERS database.
- The different surveys had different response
categories for "If you needed LTC and had no LTC insurance how would the cost
of LTC services be paid?" Here we report the percentage of those who said that
they will pay with own income or that they children will help them pay and
group all other responses in one category.
- For this category, Public Programs include only
the CALPERS and the Minnesota databases.
|
| TABLE A-7: Attitudes and Opinions
About Retirement Planning and LTC Among Retired Buyers |
| Attitudes and Opinions |
FLTCIP |
Private Programs |
Public Programs |
| Done
retirement planning1 |
| Yes |
87%* |
|
52% |
| No |
13 |
|
48 |
| Confident
that there is enough money to live comfortably in
retirement1 |
| Very confident |
33* |
|
54 |
| Somewhat confident |
59 |
|
43 |
| Not very confident |
7 |
|
2 |
| Not at all confident |
1 |
|
1 |
| Thought given
to paying for LTC expenses1 |
| A great deal |
63 |
|
58 |
| Some |
35 |
|
35 |
| Not much thought |
2 |
|
4 |
| No thought at all |
0 |
|
3 |
| I worry how
to pay for LTC |
| Strongly agree |
18* |
22 |
|
| Agree |
55 |
48 |
|
| Disagree |
23 |
24 |
|
| Strongly disagree |
4 |
6 |
|
| It is
important to plan now for the possibility of needing LTC services in the
future1 |
| Strongly agree |
47 |
64* |
45 |
| Agree |
53 |
34 |
51 |
| Disagree |
0 |
1 |
4 |
| Strongly disagree |
0 |
1 |
0 |
| LTC insurance
programs sold today will cover the cost of LTC services needed in the
future1 |
| Strongly agree |
10 |
|
14 |
| Agree |
71 |
|
74 |
| Disagree |
17 |
|
11 |
| Strongly disagree |
2 |
|
1 |
| How would LTC
costs be paid1,2 |
| My own income or my children will help
pay |
63 |
59 |
14*3 |
| Other sources will pay |
37 |
41 |
86 |
- For this category, Public Programs include only
the CALPERS database.
- The different surveys had different response
categories for "If you needed LTC and had no LTC insurance how would the cost
of LTC services be paid?" Here we report the percentage of those who said that
they will pay with own income or that they children will help them pay and
group all other responses in one category.
- Thirty-three percent of the responders said
that "Medigap" will pay for LTC, 21% said that "Other" will pay and 15% said
"Don't know."
|
| TABLE A-8: Attitudes and Opinions
About Retirement Planning and LTC Among Retired Non-Buyers |
| Attitudes and Opinions |
FLTCIP |
Private Programs |
Public Programs |
| Done
retirement planning1 |
| Yes |
72%* |
|
38% |
| No |
28 |
|
62 |
| Confident
that there is enough money to live comfortably in
retirement1 |
| Very confident |
22* |
|
41 |
| Somewhat confident |
56 |
|
48 |
| Not very confident |
14 |
|
6 |
| Not at all confident |
8 |
|
5 |
| Thought given
to paying for LTC expenses1 |
| A great deal |
36 |
|
36 |
| Some |
48 |
|
41 |
| Not much thought |
13 |
|
16 |
| No thought at all |
3 |
|
7 |
| I worry how
to pay for LTC |
| Strongly agree |
19* |
33 |
|
| Agree |
44 |
47 |
|
| Disagree |
30 |
17 |
|
| Strongly disagree |
7 |
3 |
|
| It is
important to plan now for the possibility of needing LTC services in the
future1 |
| Strongly agree |
30* |
33 |
41* |
| Agree |
56 |
58 |
54 |
| Disagree |
12 |
8 |
5 |
| Strongly disagree |
2 |
1 |
0 |
| LTC insurance
programs sold today will cover the cost of LTC services needed in the
future1 |
| Strongly agree |
3* |
|
11 |
| Agree |
37 |
|
43 |
| Disagree |
45 |
|
35 |
| Strongly disagree |
15 |
|
11 |
| How would LTC
costs be paid1,2 |
| My own income or my children will help
pay |
35 |
42 |
41 |
| Other sources will pay |
65 |
58 |
59 |
- For this category, Public Programs include only
the CALPERS database.
- The different surveys had different response
categories for "If you needed LTC and had no LTC insurance how would the cost
of LTC services be paid?" Here we report the percentage of those who said that
they will pay with own income or that they children will help them pay and
group all other responses in one category.
|
| TABLE A-9: Experience with LTC Among
Active Buyers |
| Experiences with LTC |
FLTCIP |
Private Programs |
Public Programs |
| Respondent/spouse or parent needed LTC |
| Yes |
62% |
65% |
50%* |
| No |
38 |
35 |
50 |
| TABLE A-10: Experience with LTC Among
Active Non-Buyers |
| Experiences with LTC |
FLTCIP |
Private Programs |
Public Programs |
| Respondent/spouse or parent needed LTC |
| Yes |
62% |
64% |
39%* |
| No |
38 |
36 |
61 |
| TABLE A-11: Experience with LTC Among
Retired Buyers |
| Experiences with LTC |
FLTCIP |
Private Programs |
Public Programs |
| Respondent/spouse or parent needed LTC |
| Yes |
69%* |
76%* |
28%* |
| No |
31 |
24 |
72 |
- For this category, Public Programs include only
the CALPERS and the Michigan databases.
|
| TABLE A-12: Experience with LTC Among Retired
Non-Buyers |
| Experiences with LTC |
FLTCIP |
Private Programs |
Public Programs |
| Respondent/spouse or parent needed LTC |
| Yes |
66% |
73% |
31%* |
| No |
34 |
27 |
69 |
- For this category, Public Programs include only
the CALPERS and the Michigan databases.
|
| TABLE A-13: Self-Assessed Risk of
Needing LTC Among Active Buyers |
| Type of LTC |
FLTCIP |
Private Programs |
| How likely is it that: |
| a) the
respondent thinks he/she will need home care services for more than three
months |
| Very likely |
12%* |
20% |
| Likely |
64 |
47 |
| Somewhat likely |
20 |
28 |
| Not at all likely |
4 |
5 |
| b) the
respondent thinks he/she will need nursing home care for more than three
months |
| Very likely |
12* |
21 |
| Likely |
58 |
45 |
| Somewhat likely |
24 |
28 |
| Not at all likely |
6 |
6 |
| c) the
respondent thinks he/she will need care provided in assisted living facility
for more than three months |
| Very likely |
15* |
20 |
| Likely |
62 |
50 |
| Somewhat likely |
19 |
25 |
| Not at all likely |
4 |
5 |
| TABLE A-14: Self-Assessed Risk of
Needing LTC Among Active Non-Buyers |
| Type of LTC |
FLTCIP |
Private Programs |
| How likely is it that: |
| a) the
respondent thinks he/she will need home care services for more than three
months |
| Very likely |
11% |
14% |
| Likely |
54 |
43 |
| Somewhat likely |
27 |
38 |
| Not at all likely |
8 |
5 |
| b) the
respondent thinks he/she will need nursing home care for more than three
months |
| Very likely |
11 |
14 |
| Likely |
49 |
37 |
| Somewhat likely |
29 |
40 |
| Not at all likely |
11 |
9 |
| c) the
respondent thinks he/she will need care provided in assisted living facility
for more than three months |
| Very likely |
12 |
13 |
| Likely |
53 |
44 |
| Somewhat likely |
26 |
35 |
| Not at all likely |
9 |
8 |
| TABLE A-15: Self-Assessed Risk of
Needing LTC Among Retired Buyers |
| Type of LTC |
FLTCIP |
Private Programs |
| How likely is it that: |
| a) the
respondent thinks he/she will need home care services for more than three
months |
| Very likely |
6%* |
18% |
| Likely |
65 |
51 |
| Somewhat likely |
23 |
28 |
| Not at all likely |
6 |
3 |
| b) the
respondent thinks he/she will need nursing home care for more than three
months |
| Very likely |
5* |
17 |
| Likely |
60 |
48 |
| Somewhat likely |
28 |
30 |
| Not at all likely |
7 |
5 |
| c) the
respondent thinks he/she will need care provided in assisted living facility
for more than three months |
| Very likely |
7* |
12 |
| Likely |
66 |
50 |
| Somewhat likely |
21 |
33 |
| Not at all likely |
6 |
5 |
| TABLE A-16: Self-Assessed Risk of
Needing LTC Among Retired Non-Buyers |
| Type of LTC |
FLTCIP |
Private Programs |
| How likely is it that: |
| a) the
respondent thinks he/she will need home care services for more than three
months |
| Very likely |
12% |
12% |
| Likely |
58 |
44 |
| Somewhat likely |
23 |
37 |
| Not at all likely |
7 |
7 |
| b) the
respondent thinks he/she will need nursing home care for more than three
months |
| Very likely |
11 |
12 |
| Likely |
54 |
42 |
| Somewhat likely |
25 |
39 |
| Not at all likely |
10 |
7 |
| c) the
respondent thinks he/she will need care provided in assisted living facility
for more than three months |
| Very likely |
11 |
9 |
| Likely |
56 |
41 |
| Somewhat likely |
24 |
42 |
| Not at all likely |
9 |
8 |
| TABLE A-17: Beliefs About LTC Among
Active Non-Buyers |
| Experiences with LTC |
FLTCIP |
Private Programs |
Public Programs |
| It is
important to avoid using own income and savings to pay for LTC |
| Strongly agree |
33% |
|
29% |
| Agree |
45 |
|
49 |
| Disagree |
19 |
|
19 |
| Strongly disagree |
3 |
|
3 |
| There are
public programs that will pay the cost of LTC1 |
| Strongly agree |
3 |
5* |
1* |
| Agree |
23 |
11 |
13 |
| Disagree |
59 |
48 |
49 |
| Strongly disagree |
15 |
36 |
37 |
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-18: Beliefs About LTC Among
Retired Non-Buyers |
| Experiences with LTC |
FLTCIP |
Private Programs |
Public Programs |
| It is
important to avoid using own income and savings to pay for LTC |
| Strongly agree |
32%* |
|
22% |
| Agree |
45 |
|
51 |
| Disagree |
19 |
|
22 |
| Strongly disagree |
4 |
|
5 |
| There are
public programs that will pay the cost of LTC1 |
| Strongly agree |
4 |
15* |
3 |
| Agree |
19 |
17 |
5 |
| Disagree |
57 |
35 |
62 |
| Strongly disagree |
20 |
33 |
30 |
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-19: Opinions about LTC
Insurance Among Active Non-Buyers |
| Opinions about LTC Insurance |
FLTCIP |
Private Programs |
Public Programs |
| Do you
currently have LTC insurance1 |
| Yes |
11% |
|
11% |
| No |
89 |
|
89 |
| Did you buy
your LTC insurance after you heard about the current
program2,3 |
| Yes |
47 |
|
59 |
| No |
36 |
|
41 |
| Insurance
companies sell adequate coverage for LTC services |
| Strongly agree |
5 |
4 |
|
| Agree |
42 |
51 |
|
| Disagree |
41 |
36 |
|
| Strongly disagree |
12 |
9 |
|
- For this category, Public Programs include only
the CALPERS and the Michigan databases.
- Responders to the FLTCIP surveys had the option
to say "I did not know about the FLTCIP" and as a result the reported
percentages do not add up to 100.
- For this category, Public Programs included
only the CALPERS database.
|
| TABLE A-20: Opinions about LTC
Insurance Among Retired Non-Buyers |
| Opinions about LTC Insurance |
FLTCIP |
Private Programs |
Public Programs |
| Do you
currently have LTC insurance1 |
| Yes |
20% |
|
18% |
| No |
80 |
|
82 |
| Did you buy
your LTC insurance after you heard about the current
program2,3 |
| Yes |
13 |
|
40 |
| No |
60 |
|
60 |
| Insurance
companies sell adequate coverage for LTC services |
| Strongly agree |
5 |
4 |
|
| Agree |
43 |
46 |
|
| Disagree |
39 |
36 |
|
| Strongly disagree |
13 |
14 |
|
- For this category, Public Programs include only
the CALPERS and the Michigan databases.
- Responders to the FLTCIP surveys had the option
to say "I did not know about the FLTCIP" and as a result the reported
percentages do not add up to 100.
- For this category, Public Programs included
only the CALPERS database.
|
| TABLE A-21: Decision Making Process
of Active Buyers |
| Decision Making Process |
FLTCIP |
Private Programs |
Public Programs |
| I would have
bought LTC insurance if the current agency had not offered
it1 |
| Yes |
33% |
55% |
|
| No |
17 |
45 |
|
| I discussed LTC insurance purchase with: |
| a)
spouse2 |
| Yes |
63 |
65 |
68 |
| No |
37 |
35 |
32 |
| b)
children2 |
| Yes |
27* |
12 |
11 |
| No |
73 |
88 |
89 |
| c) HR
officer3 |
| Yes |
13* |
19 |
22 |
| No |
87 |
81 |
78 |
| d)
colleagues/other relatives/friends2 |
| Yes |
83* |
46* |
67* |
| No |
17 |
54 |
33 |
| e) financial
planner3 |
| Yes |
22* |
17* |
8* |
| No |
78 |
83 |
92 |
| f) insurance
agent2 |
| Yes |
15 |
10 |
12 |
| No |
85 |
90 |
88 |
- Responders to the FLTCIP surveys had the option
to say "Not sure" and as a result the reported percentages do not add up to
100.
- For this category, Public Programs include only
the CALPERS and the Minnesota databases.
- For this category, Public Programs include only
the Minnesota database.
|
| TABLE A-22: Decision Making Process
of Retired Buyers |
| Decision Making Process |
FLTCIP |
Private Programs |
Public Programs |
| I discussed LTC insurance purchase with: |
| a)
spouse1 |
| Yes |
71%* |
84%* |
61%* |
| No |
29 |
16 |
39 |
| b)
children1 |
| Yes |
40 |
50* |
32 |
| No |
60 |
50 |
68 |
| c)
colleagues/other relatives/friends1 |
| Yes |
57* |
48* |
54 |
| No |
43 |
52 |
46 |
| d) financial
planner |
| Yes |
22* |
42* |
|
| No |
78 |
58 |
|
| e) insurance
agent1 |
| Yes |
13 |
82* |
19 |
| No |
87 |
18 |
81 |
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-23: People Who Had the Most
Influence on Decision to Purchase of Insurance Among Active
Buyers |
| Decision Making Process |
FLTCIP |
Private Programs |
| Person who
had most influence over insurance decision1 |
| Spouse |
52 |
60 |
| Colleagues/other relatives/friends |
31 |
19 |
| Financial planner |
6 |
8 |
- There are different answer categories to this
question in the different surveys and that is why the reported percentages do
not add up to 100.
|
| TABLE A-24: People Who Had the Most
Influence on Decision to Purchase of Insurance Among Retired
Buyers |
| Decision Making Process |
FLTCIP |
Private Programs |
| Person who
had most influence over insurance decision |
| Spouse |
69 |
43 |
| Colleagues/other relatives/friends |
13 |
--- |
| Children |
8 |
--- |
| Insurance agent |
--- |
28 |
| Financial planner |
--- |
12 |
| TABLE A-25: Decision Making Process
of Active Non-Buyers |
| Decision Making Process |
FLTCIP |
Public Programs |
| How likely
did you think it was that you would buy the FLTCIP when you requested the
application |
| Very likely |
18% |
23% |
| Likely |
52 |
57 |
| Not very likely |
28 |
17 |
| Not at all likely |
2 |
3 |
| TABLE A-26: Decision Making Process
of Retired Non-Buyers |
| Decision Making Process |
FLTCIP |
Public Programs |
| How likely
did you think it was that you would buy the FLTCIP when you requested the
application |
| Very likely |
11% |
15% |
| Likely |
43 |
52 |
| Not very likely |
40 |
24 |
| Not at all likely |
6 |
9 |
| TABLE A-27: Experience with the
Application Process Among Active Non-Buyers |
| Experience with the Application
Process |
FLTCIP |
Public Programs |
| Was
understanding the application easy/difficult for you1 |
| Easy to understand the application |
75% |
78% |
| Difficult to understand the application |
25 |
22 |
- Percentages for the FLTCIP are based only on
those who read the application.
|
| TABLE A-28: Experience with the
Application Process Among Retired Non-Buyers |
| Experience with the Application
Process |
FLTCIP |
Public Programs |
| Was
understanding the application easy/difficult for you1 |
| Easy to understand the application |
77% |
79% |
| Difficult to understand the application |
23 |
21 |
- Percentages for the FLTCIP are based only on
those who read the application.
|
| TABLE A-29: Exposure to Promotional
Activities Among Active Buyers |
| Promotional Activities |
FLTCIP |
Public Programs |
| Did you find any of the following helpful1 |
| a) read
advertisements |
| Found them to be helpful |
45%* |
30% |
| Did not find them to be helpful |
55 |
70 |
| b) visit
websites describing the federal program |
| Found them to be helpful |
69* |
50 |
| Did not find them to be helpful |
31 |
50 |
| c) read
general brochures |
| Found them to be helpful |
82 |
84 |
| Did not find them to be helpful |
18 |
16 |
| d) call
toll-free number |
| Found it to be helpful |
33* |
18 |
| Did not find it to be helpful |
67 |
82 |
| e) attend
educational meetings at work |
| Found them to be helpful |
34* |
43 |
| Did not find them to be helpful |
66 |
57 |
| f) view
satellite broadcasts |
| Found them to be helpful |
17* |
3 |
| Did not find them to be helpful |
83 |
97 |
- The "Not helpful" category encompasses "No, did
not do this", "Did it, but did not find it helpful" and "Did not know about
this."
|
| TABLE A-30: Exposure to Promotional
Activities Among Active Non-Buyers |
| Promotional Activities |
FLTCIP |
Public Programs |
| Did you find any of the following helpful |
| a) read
advertisements |
| Did not read advertisements |
38%* |
17% |
| Yes, helpful |
38 |
12 |
| Yes not helpful |
13 |
7 |
| Did not know about the advertisements |
11 |
64 |
| b) visit
websites describing the federal program |
| Did not visit websites |
51* |
12 |
| Yes, helpful |
32 |
9 |
| Yes not helpful |
7 |
7 |
| Did not know abuot the websites |
10 |
72 |
| c) read
general brochures |
| Did not read general brochures |
18* |
26 |
| Yes, helpful |
63 |
50 |
| Yes not helpful |
14 |
15 |
| Did not know about the general
brochures |
5 |
10 |
| d) attend
educational meetings at work |
| Did not attend educational meetings |
66* |
27 |
| Yes, helpful |
18 |
20 |
| Yes not helpful |
4 |
6 |
| Did not know about the educational
meetings |
12 |
48 |
| e) view
satellite broadcasts |
| Did not view satellite broadcasts |
76* |
12 |
| Yes, helpful |
5 |
2 |
| Yes not helpful |
3 |
2 |
| Did not know about the satellite
broadcasts |
16 |
84 |
| TABLE A-31: Exposure to Promotional
Activities Among Retired Buyers |
| Promotional Activities |
FLTCIP |
Public Programs |
| Did you find any of the following helpful1 |
| a) read
advertisements |
| Found them to be helpful |
57%* |
13% |
| Did not find them to be helpful |
43 |
87 |
| b) visit
websites describing the federal program |
| Found them to be helpful |
40* |
17 |
| Did not find them to be helpful |
60 |
83 |
| c) read
general brochures |
| Found them to be helpful |
85* |
60 |
| Did not find them to be helpful |
15 |
40 |
| d) call
toll-free number |
| Found it to be helpful |
42* |
21 |
| Did not find it to be helpful |
58 |
79 |
- The "Not helpful" category encompasses "No, did
not do this", "Did it, but did not find it helpful" and "Did not know about
this."
|
| TABLE A-32: Reasons for Buying LTC
Insurance: Active Buyers |
| Reasons for Buying |
FLTCIP |
Private Programs |
Public Programs |
| Single most
important reason for buying LTC insurance1 |
| Avoid using own income |
22% |
23% |
10%* |
| Assure that care is affordable |
28* |
18 |
18 |
| Assure greater freedom in choosing service
providers |
5 |
3 |
10 |
| Avoid having to rely on relatives for
care |
19 |
19 |
31* |
| Assure that spouse's standard of living will not
decline if individual needs care |
7 |
14 |
10 |
| Avoid relying on Medicaid |
2 |
2 |
3 |
- Responders in all groups had indicated other
reasons, in addition to the ones presented here, for which they bought LTC
insurance. Presented here are only the common reasons and that is why the
reported percentages do not add up to 100.
|
| TABLE A-33: Reasons for Buying LTC
Insurance: Retired Buyers |
| Reasons for Buying |
FLTCIP |
Private Programs |
Public Programs |
| Single most
important reason for buying LTC insurance1 |
| Avoid using own income |
25%* |
21% |
12% |
| Assure that care is affordable |
23* |
15 |
9 |
| Assure greater freedom in choosing service
providers |
3 |
5 |
14 |
| Avoid having to rely on relatives for
care |
17 |
19 |
33* |
| Assure that spouse's standard of living will not
decline if individual needs care |
10 |
12 |
11 |
| Avoid relying on Medicaid |
2 |
2 |
3 |
- Responders in all groups had indicated other
reasons, in addition to the ones presented here, for which they bought LTC
insurance. Presented here are only the common reasons and that is why the
reported percentages do not add up to 100.
|
| TABLE A-34: Comparison of Current LTC
Insurance Program to Other Programs Among Active Buyers |
| Reasons for Buying |
FLTCIP |
Private Programs |
Public Programs |
| Was the
current FLTCIP compared to other programs1 |
| Yes |
54% |
|
33% |
| No |
46 |
|
66 |
| Why was the current FLTCIP purchased instead of a different
program2 |
| a) lower
rates |
| Yes |
31 |
|
39 |
| No |
69 |
|
61 |
| b) better
benefits |
| Yes |
25 |
|
34 |
| No |
75 |
|
66 |
| c)
recommended by others |
| Yes |
9 |
|
9 |
| No |
91 |
|
91 |
| d) easier to
qualify |
| Yes |
40* |
|
3 |
| No |
60 |
|
97 |
| e) easier to
get benefits |
| Yes |
15* |
|
4 |
| No |
85 |
|
96 |
| f) easier to
understand coverage |
| Yes |
22* |
|
5 |
| No |
78 |
|
95 |
| g) Federal
Government sponsorship |
| Yes |
74* |
|
13 |
| No |
26 |
|
87 |
- Responders from CALPERS had the option of
saying "Don't know" to this question and that is why the reported percentages
in the Public Programs group do not add up to 100.
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-35: Comparison of Current LTC
Insurance Program to Other Programs Among Retired Buyers |
| Reasons for Buying |
FLTCIP |
Private Programs |
Public Programs |
| Was the
current FLTCIP compared to other programs1 |
| Yes |
67% |
68% |
67% |
| No |
33 |
32 |
31 |
| Why was the current FLTCIP purchased instead of a different
program2 |
| a) lower
rates |
| Yes |
44 |
|
54 |
| No |
56 |
|
46 |
| b) better
benefits |
| Yes |
33* |
|
45 |
| No |
67 |
|
55 |
| c)
recommended by others |
| Yes |
7 |
|
6 |
| No |
93 |
|
94 |
| d) easier to
qualify |
| Yes |
18* |
|
3 |
| No |
82 |
|
97 |
| e) easier to
get benefits |
| Yes |
7* |
|
0 |
| No |
93 |
|
100 |
| f) easier to
understand coverage |
| Yes |
21* |
|
9 |
| No |
79 |
|
91 |
| g) Federal
Government sponsorship |
| Yes |
84* |
|
17 |
| No |
16 |
|
83 |
- Responders from CALPERS had the option of
saying "Don't know" to this question and that is why the reported percentages
in the Public Programs group do not add up to 100.
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-36: Reasons for Not Buying
the Current LTC Insurance Program: Active Non-Buyers |
| Reasons for Not Buying |
FLTCIP |
Private Programs |
Public Programs |
| Were the following reasons not to buy the current FLTCIP: |
| a) do not
think LTC services wil ever be needed1 |
| Yes, a reason |
8% |
25%* |
14% |
| No, not a reason |
92 |
75 |
86 |
| b)
Medicare/Medicaid will pay for LTC services2 |
| Yes, a reason |
16* |
25* |
1* |
| No, not a reason |
84 |
75 |
99 |
| c)
family/relatives will take care of individual3 |
| Yes, a reason |
7 |
19* |
12 |
| No, not a reason |
93 |
81 |
88 |
| d) FLTCIP is
too expensive1 |
| Yes, a reason |
66 |
72 |
48* |
| No, not a reason |
34 |
28 |
52 |
| e) do not
mind using own income to pay for LTC2 |
| Yes, a reason |
15* |
28* |
2* |
| No, not a reason |
85 |
72 |
98 |
| f) have other
insurance like FEHB3 |
| Yes, a reason |
13 |
24* |
9 |
| No, not a reason |
87 |
76 |
91 |
| g) do not
believe insurance companies will pay benefits |
| Yes, a reason |
18* |
37 |
|
| No, not a reason |
82 |
63 |
|
| h) will buy
the LTC insurance later1,4 |
| Yes, a reason |
52 |
44 |
45 |
| No, not a reason |
48 |
56 |
55 |
| i)
information about the FLTCIP too confusing |
| Yes, a reason |
22* |
|
0 |
| No, not a reason |
78 |
|
100 |
| j) not happy
with the features |
| Yes |
17* |
|
1 |
| No |
83 |
|
99 |
- For this category, Public Programs include only
the CALPERS database.
- For this category, Public Programs include only
the Michigan database.
- For this category, Public Programs include only
the CALPERS and the Michigan databases.
- The "No, not a reason" category combines "Don't
know" and "No, not a reason."
|
| TABLE A-37: Reasons for Not Buying
the Current LTC Insurance Program: Retired Non-Buyers |
| Reasons for Not Buying |
FLTCIP |
Private Programs |
Public Programs |
| Were the following reasons not to buy the current
FLTCIP:1 |
| a) do not
think LTC services wil ever be needed |
| Yes, a reason |
11% |
34%* |
18% |
| No, not a reason |
89 |
66 |
82 |
| b)
Medicare/Medicaid will pay for LTC services2 |
| Yes, a reason |
14* |
32* |
3* |
| No, not a reason |
86 |
68 |
97 |
| c)
family/relatives will take care of individual3 |
| Yes, a reason |
11* |
21 |
23 |
| No, not a reason |
89 |
79 |
77 |
| d) FLTCIP is
too expensive1 |
| Yes, a reason |
62 |
84* |
60 |
| No, not a reason |
38 |
16 |
40 |
| e) do not
mind using own income to pay for LTC2 |
| Yes, a reason |
25* |
43* |
6* |
| No, not a reason |
75 |
57 |
94 |
| f) have other
insurance like FEHB3 |
| Yes, a reason |
19 |
|
13 |
| No, not a reason |
81 |
|
87 |
| g) do not
believe insurance companies will pay benefits |
| Yes, a reason |
13* |
44 |
|
| No, not a reason |
87 |
56 |
|
| h) will buy
the LTC insurance later1 |
| Yes, a reason |
22* |
|
36 |
| No, not a reason |
78 |
|
64 |
| i)
information about the FLTCIP too confusing |
| Yes, a reason |
19* |
|
0 |
| No, not a reason |
81 |
|
100 |
| j) not happy
with the features2 |
| Yes |
16* |
|
1 |
| No |
84 |
|
99 |
- For this category, Public Programs include only
the CALPERS database.
- For this category, Public Programs include only
the Michigan database.
- For this category, Public Programs include only
the CALPERS and the MetLife databases.
|
| TABLE A-38: Three Most Important
Common Reasons for Not Buying the Current Program Among Active
Non-Buyers |
| Reasons for Not Buying |
FLTCIP |
Private Programs |
Public Programs |
| Three most
important reasons not to buy the current program1,2 |
| Cannot afford the current program |
30% |
44% |
37% |
| Current program is too expensive |
24 |
--- |
--- |
| Will buy the current program later |
13 |
8 |
5 |
| I don't think I will ever need LTC
insurance |
--- |
4 |
--- |
| My family will take care for me |
--- |
--- |
2 |
- For this category, Public Programs include only
the CALPERS and the MetLife databases.
- In addition to the common among all files
categories, 14% of ANB from Michigan responded that it is too early to plan and
16% of RNB from CALPERS responded that they want to use their money for other
purposes.
|
| TABLE A-39: Three Most Important
Common Reasons for Not Buying the Current Program Among Retired
Non-Buyers |
| Reasons for Not Buying |
FLTCIP |
Private Programs |
Public Programs |
| Three most
important reasons not to buy the current program1,2 |
| Cannot afford the current program |
33% |
--- |
--- |
| Current program is too expensive |
15 |
45 |
38 |
| Will buy the current program later |
7 |
--- |
--- |
| I don't mind using own income/assets |
--- |
7 |
4 |
| I don't think I will ever need LTC
insurance |
--- |
4 |
--- |
| I have other insurance |
--- |
--- |
4 |
- For this category, Public Programs include only
the CALPERS and the MetLife databases.
- In addition to the common among all files
categories, 17% of RNB from Michigan responded that there is no reason for not
buying and 14% of RNB from CALPERS responded that it is too confusing to know
which is the right policy for them.
|
| TABLE A-40: Factors that Would Make
Active Non-Buyers More Interested in Buying the Current Program |
| Factors |
FLTCIP |
Private Programs |
Public Programs |
| More interested in buying the current program if: |
| a) there was
a guarantee that premiums will not increase in the future |
| Agree |
83% |
91% |
|
| Disagree |
17 |
9 |
|
| b) premiums
were tax deductible1 |
| Agree |
87* |
93 |
97* |
| Disagree |
13 |
7 |
3 |
- For this category, Public Programs include only
the CALPERS database.
|
| TABLE A-41: Factors that Would Make
Retired Non-Buyers More Interested in Buying the Current
Program |
| Factors |
FLTCIP |
Private Programs |
Public Programs |
| More interested in buying the current program if: |
| a) there was
a guarantee that premiums will not increase in the future |
| Agree |
76% |
79% |
|
| Disagree |
24 |
21 |
|
| b) premiums
were tax deductible1 |
| Agree |
77 |
80 |
81 |
| Disagree |
23 |
20 |
19 |
- For this category, Public Programs include only
the CALPERS database.
|
| This data brief was prepared under contract
between the U.S. Department of Health and Human Services, Office of the
Assistant Secretary for Planning and Evaluation, Office of Disability, Aging
and Long-Term Care Policy (DALTCP) and Abt Associates. The brief was written by
LifePlans, Inc. For additional information on this subject, or to view the
other briefs in this series, you can visit the ASPE home page at
http://aspe.hhs.gov, the DALTCP home page at
http://aspe.hhs.gov/_/office_specific/daltcp.cfm
or contact the ASPE Project Officer, Hunter McKay, at HHS/ASPE/DALTCP, Room
424E, H.H. Humphrey Building, 200 Independence Avenue, S.W., Washington, D.C.
20201, Hunter.McKay@hhs.gov. |
| Data Briefs on Federal
Long-Term Care Insurance Buyers/Non-Buyers |
A total of nine Data Briefs are available from the Office of Disability,
Aging and Long-Term Care on this subject: