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14 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 •
Statistics Canada, Catalogue no. 82-003-X
Health-adjusted life expectancy in Canada • Research Article
Abstract
Background: Over the past century, life expectancy at birth in
Canada has risen substantially. However, these gains in the
quantity of life say little about gains
in the quality of life.
Methods: Health-adjusted life expectancy (HALE), an indicator
of quality of life, was estimated for the household and
institutional populations combined every
four years from 1994/1995 to 2015. Health status was measured
by the Health Utilities Index Mark 3 instrument in two national
population health surveys, and
was used to adjust life expectancy. The percentage of the
population living in health-related institutions was estimated
based on the Census of Population.
Attribute-deleted HALE was calculated to determine how
various aspects of health status contributed to the differences
between life expectancy and HALE.
Results: HALE has increased in Canada. Greater gains among
males have narrowed the gap between males and females. The
ratio of HALE to life
expectancy changed little for males, and a marginal
improvement was observed for females aged 65 or older.
Mobility problems and pain, the latter mainly
among females, accounted for an increased share of the burden
of ill health over time. Exclusion of the institutional population
significantly increased the
estimates of HALE and yielded higher ratios of HALE to life
expectancy.
Interpretation: Although people are living longer, the share of
years spent in good functional health has remained fairly
constant. Data for both the household
and institutional populations are necessary for a complete
picture of health expectancy in Canada.
Keywords: Gender differences, health expectancy, Health
Utility Index, morbidity, mortality, summary measures of health
Authors: Tracey Bushnik ([email protected]) and Michael
Tjepkema are with the Health Analysis Division and Laurent
Martel is with the Demography
Division at Statistics Canada, Ottawa, Ontario.
Health-adjusted life expectancy in Canada
by Tracey Bushnik, Michael Tjepkema and Laurent Martel
Over the past century, life expectancy at birth in Canada has
risen substantially to 79.8 years for males, and 83.9 years
for females.1,2 These increases in the quantity of life say little
about the quality of life. How quality of life is keeping pace
with the increase in life expectancy is an important health
indicator.3,4
Health expectancy is a summary indicator that incorporates
information on mortality (such as life expectancy) and health
status (such as morbidity) into a single estimate that can be
considered a measure of quality of life.5-7 Health expectancy
rep-
resents the number of years of life lived in good health that
could
be expected,4 based on the average experience in a population if
current patterns of mortality and health states persisted.3,7,8
Several Canadian studies have estimated health expectancy
using various measures of health status (such as health utility
indices, prevalence of disability, incidence of disease) and data
sources.3,9-15 The most recent study found that, in general, the
health expectancy of the population living in private households
was relatively stable from 1994 to 2010, and that absolute gains
in health expectancy were due mainly to a decrease in mortality
with little change in morbidity.14 However, a limitation of this
and many other studies is exclusion of the institutional popula-
tion, who are more likely to be in ill health; excluding them
may
create an overly optimistic picture of population health.16
This study calculates health-adjusted life expectancy (HALE)
for the combined household and institutional population every
four years from 1994/1995 to 2015. Trends over time in health
status, life expectancy, and HALE are examined. Health status
is
estimated using the Health Utilities Index Mark 3 (HUI3)
instru-
ment,17 which has been used for previous estimates of HALE in
Canada.10,12-15 The study also discusses how HALE has
changed
relative to life expectancy. To better understand how specific
aspects of health status contribute to differences between HALE
and life expectancy, attribute-deleted HALE is estimated and
assessed over time.
Methods
Data sources
National Population Health Survey and Canadian
Community Health Survey
Estimates for the HUI3 are derived from responses to the
1994/1995 and 1998/1999 National Population Health Survey
(NPHS), and the 2001, 2005, 2009/2010 and 2015 Canadian
Community Health Survey (CCHS). Information about the
NPHS and the CCHS is available at www.statcan.gc.ca, and is
summarized briefly here.
The target population of the NPHS Household component was
residents of private households in the ten provinces, excluding
residents of Indian Reserves, Crown Lands, some remote areas
in Ontario and Quebec and health institutions, and full-time
members of the Canadian Forces. The selected household/
selected person response rates for the 1994/1995 and 1998/1999
NPHS were 88.7%/96.1% and 87.6%/98.5%, respectively. The
target population of the 1994/1995 NPHS Institution component
consisted of residents of health institutions (long-term, at least
four beds, and residents not autonomous) sampled in five geo-
graphic regions (Atlantic Provinces, Quebec, Ontario, Prairie
Provinces, and British Columbia) from three types of institu-
tion: institutions for the aged; cognitive institutions; and other
rehabilitative institutions. The selected institution/selected resi -
dent response rates in 1994/1995 were 95.5%/93.6%.
The CCHS covers the population aged 12 or older in the ten
provinces and three territories. Residents of Indian Reserves,
Crown lands, certain remote regions and institutions and full -
time members of the Canadian Forces are excluded; together
these exclusions represent less than 3% of the target population.
The combined household/selected person response rates for the
2001, 2005, 2009/2010, and 2015 CCHS were: 84.7%; 78.9%;
72.3% and 57.5%.
mailto:[email protected]
http://www.statcan.gc.ca
15Statistics Canada, Catalogue no. 82-003-X • Health Reports,
Vol. 29, no. 4, pp. 14-22, April 2018
Health-adjusted life expectancy in Canada • Research Article
What is already
known on this
subject?
■ Life expectancy has increased
substantially in Canada over the past
century
■ Life expectancy describes quantity
of life, whereas health-adjusted life
expectancy (HALE) describes quality
of life
■ As of 2010, there has been little
evidence of a faster increase in
HALE than in life expectancy among
the household population.
What does this study
add?
■ Between 1994/1995 and 2015, HALE
increased in Canada.
■ The gap between males and females
in life expectancy and in HALE
narrowed because of greater gains
by males.
■ Males spent a larger share of their
years of life in good functional health,
compared with females.
■ The percentage of years in good
functional health was relatively
unchanged over time for males, with
a marginal improvement for females
aged 65 or older.
■ The importance of sensory problems
declined, while mobility problems
and pain accounted for an increased
share of the burden of ill health.
■ Excluding the institutional population
significantly increased estimates of
HALE, resulting in higher ratios of
HALE to life expectancy, particularly
for people aged 65 or older.
49,747 (2015 - excludes the territories).
As well, 2,283 out of 2,287 institu-
tional respondents had a valid HUI3
in 1994/1995, 713 of which had been
imputed.
Census of Population
The Census of Population enumerates
the entire population, which consists
of Canadian citizens (by birth and by
naturalization), landed immigrants and
non-permanent residents and their fam-
ilies living with them in Canada (detailed
information is available at www12.
statcan.gc.ca/census-recensement/2016/
ref/index-eng.cfm). The census collected
information on dwelling type (private or
collective); type of collective dwelling
was used to estimate the percentage of
the population living in health-related
institutions in 1996, 2001, 2006, 2011,
and 2016.
Life tables
Life tables use provincial and territorial
mortality data from the Vital Statistics–
Death Database and population estimates
to calculate life expectancy at birth and at
different ages, death probabilities, prob-
abilities of survival between two ages,
years of life lived, and the number of
survivors at different ages.18 Life expect-
ancy and HALE were estimated for each
survey year using complete (by single-
year-of-age) life table data for males and
females for 1993-to-1995, 1997-to-1999,
2000-to-2002, 2004-to-2006, 2009-to-
2011, and 2013-to-2015.2
Measures
Health Utilities Index Mark 3 (HUI3)
The Health Utilities Index Mark 3
(HUI3) measures eight attributes of
self-reported health status: vision,
hearing, speech, ambulation, dex-
terity, emotion, cognition, and pain.17
A respondent’s attribute levels—from
normal to highly impaired—are sum-
marized by a weighted scoring function
into a single value representing their
overall health state. The value can range
from -0.36 (state worse than death; death
represented by 0) to 1.00 (best possible
health state).
This study uses data from respondents
with a valid HUI3. In general, the
household non-response rate for HUI3
was less than 1% in any survey year,
resulting in the following sample sizes
for this analysis: 15,989 (1994/1995);
16,408 (1998/1999); 129,834 (2001);
30,809 (2005); 121,606 (2009/2010) and
Institutional population
For this study, the institutional popula-
tion was defined as individuals living in
the following types of health-related col-
lective dwellings on census day: general
and specialty hospitals (including
chronic care, short- or long-term care);
nursing homes; residences for senior cit-
izens; group homes or institutions for the
physically handicapped and treatment
centres; and group homes and institutions
or residential care facilities for people
with psychiatric disorders or develop-
mental disabilities. Individuals not living
in such dwellings were considered to be
in the household population.
Statistical analysis
Health-adjusted life expectancy
(HALE)
To estimate HALE, mean HUI3 scores
by sex and age group were tabulated
for the household population in each
survey year and the institutional popu-
lation in 1994/1995. Age groups were:
0 to 11 (for the household population
in 1994/1995 and 1998/1999, the mean
value for 4- to 11-year-olds was assigned
to the entire 0-to-11 age group, and the
mean value from 1998/1999 was carried
forward to all subsequent years), 12 to 14
(HUI3 is available in the CCHS starting
at age 12), 15 to 24, 25 to 34, 35 to 44,
45 to 54, 55 to 64, 65 to 74, 75 to 84, and
85 or older. Survey weights were applied
so that the mean HUI3 estimates were
representative of the health status of the
underlying target populations by sex and
age group, and bootstrap weights were
applied so that the standard errors were
estimated taking into account each sur-
vey’s complex design.19
The percentages of people living in
private households and in health-related
institutions were estimated by sex and
age group using census data. Mean HUI3
scores (by sex and age group) for the
household population (HUI3 household)
in each survey year were multiplied by the
percentage in households by sex and age
group estimated from each census year
as follows (survey year*census year):
1994/1995*1996; 1998/1999*1996;
2001*2001; 2005*2006; 2009/2010*2011
www12.statcan.gc.ca/census-recensement/2016/ref/index-
eng.cfm
www12.statcan.gc.ca/census-recensement/2016/ref/index-
eng.cfm
www12.statcan.gc.ca/census-recensement/2016/ref/index-
eng.cfm
16 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 •
Statistics Canada, Catalogue no. 82-003-X
Health-adjusted life expectancy in Canada • Research Article
and 2015*2016. For the institutional
population, the mean HUI3 scores (by
sex and age group) in 1994/1995 (HUI3
institution) were carried forward to all
subsequent survey years, multiplied by
the percentage by sex and age group in
health-related institutions estimated from
each census year as shown above. The
resulting two values—HUI3 household
and HUI3 institution—were summed to
provide overall HUI3 scores by sex and
age group for each survey year. The vari-
ance of the overall HUI3 score by sex
and age group was estimated from the
sum of the variance of HUI3 household
multiplied by the square of the percentage
in households and the variance of HUI3
institution multiplied by the square of the
percentage in institutions.
HALE was estimated for each survey
year using a modified version of the
Sullivan method.20 The life expectancy
information from each three-year set of
complete life tables by sex was weighted
by the number of life-years lived at a par-
ticular age x using the mean HUI3 for that
age. The sum of the adjusted life-years
beyond age x was then divided by the
number of survivors at that age to yield
HALE by age and sex.6 The variance of
HALE was estimated using the method
proposed by Mathers,21 which takes sto-
chastic fluctuations in the observed death
probabilities and the mean global HUI3
scores into account.
Attribute-deleted HALE
Attribute-deleted HALE for the house-
hold and institutional populations was
estimated for 1994/1995 and 2015 to
determine how much of the difference
between HALE and life expectancy
was ascribed to each HUI attribute. To
produce attribute-deleted HALE, the
overall HUI3 score was recalculated for
the household and institutional popu-
lations separately six times, each time
assigning a perfect score (1.0) to one
attribute but leaving the others at their
actual levels. Vision, hearing, and speech
were combined into “sensory.”
There were no missing values for the
household population in 1994/1995 or
2015, but for the 1994/1995 institutional
population, missing values for each
attribute—vision (n = 271), hearing (n =
117), speech (n = 60), ambulation (n =
20), dexterity (n = 50), emotion (n = 185),
cognition (n = 95), and pain (n = 137)—
were assigned the average score by sex
and age group from those with complete
data for that attribute. The HUI3 esti-
mates for the institutional population in
1994/1995 were carried forward to 2015.
The attribute-deleted HUI3 estimates
for the household and institutional popu-
lations in each survey year were summed
to provide an overall attribute-deleted
HUI3 score by sex and age group in
1994/1995 and 2015.
Sensitivity analyses
The estimates of HUI3 for the insti-
tutional population that were used to
calculate HALE in 2015 were adjusted to
reflect three scenarios: 0.03 added to each
institutional respondent’s HUI3 score
from 1994/1995; 0.03 subtracted from
each HUI3 score; and the score replaced
by HUI3 values derived from the 2012
interRAI assessments of the nursing
home population in Ontario.22 The
amount 0.03 was selected because it is the
smallest difference in HUI3 that reflects
a meaningful change.23 Adjusted mean
values of HUI3 (up, down, and replaced)
were estimated by sex and age group, and
then multiplied by the percentage of the
population living in institutions in 2016
and combined with the HUI3 values for
the CCHS household population in 2015
for an overall HUI3 estimate. HALE in
2015 was then recalculated. A second
sensitivity analysis excluded the HUI3
estimates for the institutional population
from the HALE estimated at each period,
thereby limiting the results to the house-
hold population.
Results
Health status of household and
institutional populations
In 2015, the average HUI3 of men and
women in the household population
who were younger than 65 was similar
to that in 1994/1995 (Table 1). For those
aged 65 or older, the average HUI3 in
2015 was higher than in 1994/1995.
Owing to the increased likelihood of
institutionalization with advancing age,
estimates for household residents are less
representative of the older population. In
Table 1
Mean HUI3 scores, by sex and age group, household and
institutional population,
Canada, 1994/1995, 1998/1999, 2001, 2005, 2009/2010 and
2015
Sex/Age
group
Household population
Institutional
population
1994/1995 1998/1999 2001 2005 2009/2010 2015 1994/1995
Mean SE Mean SE Mean SE Mean SE Mean SE Mean SE Mean
SE
Males
15 to 24 0.889 0.007 0.940 0.005 0.915 0.002 0.897 0.005 0.913
0.002 0.892 0.006 0.556 0.192
25 to 34 0.900 0.006 0.943 0.004 0.919 0.003 0.915 0.004 0.916
0.003 0.902 0.004 0.193 0.060
35 to 44 0.897 0.006 0.922 0.006 0.903 0.002 0.900 0.006 0.904
0.003 0.898 0.004 0.331 0.050
45 to 54 0.872 0.007 0.894 0.006 0.879 0.003 0.883 0.007 0.882
0.003 0.873 0.004 0.308 0.081
55 to 64 0.847 0.010 0.873 0.008 0.858 0.004 0.861 0.007 0.865
0.004 0.852 0.006 0.345 0.072
65 to 74 0.816 0.010 0.806 0.011 0.832 0.004 0.856 0.007 0.850
0.003 0.849 0.006 0.219 0.038
75 to 84 0.753 0.019 0.740 0.023 0.753 0.008 0.771 0.013 0.788
0.006 0.782 0.010 0.146 0.024
85 or older 0.592 0.053 0.644 0.056 0.591 0.019 0.619 0.042
0.627 0.024 0.614 0.033 0.170 0.030
Females
15 to 24 0.882 0.007 0.933 0.004 0.907 0.002 0.895 0.005 0.906
0.003 0.872 0.005 0.584 0.181
25 to 34 0.895 0.006 0.912 0.009 0.908 0.002 0.904 0.005 0.918
0.002 0.900 0.004 0.138 0.070
35 to 44 0.889 0.006 0.910 0.005 0.888 0.002 0.898 0.005 0.898
0.003 0.878 0.005 0.155 0.065
45 to 54 0.839 0.009 0.875 0.009 0.862 0.003 0.874 0.005 0.863
0.004 0.850 0.007 0.305 0.079
55 to 64 0.828 0.009 0.849 0.009 0.845 0.003 0.850 0.006 0.849
0.003 0.836 0.006 0.265 0.070
65 to 74 0.787 0.014 0.823 0.009 0.826 0.004 0.836 0.007 0.832
0.003 0.825 0.006 0.196 0.038
75 to 84 0.708 0.016 0.727 0.016 0.729 0.006 0.758 0.012 0.762
0.006 0.762 0.009 0.157 0.025
85 or older 0.571 0.036 0.572 0.033 0.588 0.014 0.584 0.028
0.629 0.012 0.620 0.019 0.097 0.016
HUI3 = Health Utility Index Mark 3
SE = standard error
Sources: 1994/1995 and 1998/1999 National Population Health
Survey; 2001, 2005, 2009/2010 and 2015 Canadian Community
Health Survey.
17Statistics Canada, Catalogue no. 82-003-X • Health Reports,
Vol. 29, no. 4, pp. 14-22, April 2018
Health-adjusted life expectancy in Canada • Research Article
2016, 5.7% of men and 9.1% of women
aged 75 to 84, and 23.1% of men and
35.6% of women aged 85 or older lived
in health-related institutions.
According to the 1994/1995 NPHS,
the average HUI3 of the institutional
population was substantially lower
than that of the household population
(Table 1). For men aged 75 to 84, average
HUI3 was .146 for the institutional popu-
lation versus .753 for the household
population; for men aged 85 or older, the
figures were .170 versus .592. Similar
differences were observed for women in
these age groups: .157 versus .708, and
.097 versus .571.
Life expectancy and HALE
Between 1994/1995 and 2015, life
expectancy and HALE increased among
both sexes and at all ages (Appendix
Table A). Male life expectancy at birth
rose from 74.9 to 79.8 years, and HALE,
from 65.0 to 69.0 years (Figure 1).
Females’ life expectancy at birth
Figure 1
Life expectancy and health-adjusted life expectancy (HALE) at
birth, by sex, household and institutional populations combined,
Canada, 1994/1995, 1998/1999, 2001, 2005, 2009/2010 and
2015
Sources: 1994/1995 and 1998/1999 National Population Health
Survey; 2001, 2005, 2009/2010 and 2015 Canadian Community
Health Survey; 1996, 2001, 2006, 2011 and 2016 Census
of Population; life tables for 1993-to-1995, 1997-to-1999, 2000-
to-2002, 2004-to-2006, 2009-to-2011 and 2013-to-2015.
years
Males
years
Females
Life expectancy HALE
60
64
68
72
76
80
84
1994/1995 1998/1999 2001 2005 2009/2010 2015
60
64
68
72
76
80
84
1994/1995 1998/1999 2001 2005 2009/2010 2015
Figure 2
Increase in life expectancy and health-adjusted life expectancy
(HALE) between 1994/1995 and 2015 at selected ages, by sex,
household and institutional populations combined, Canada
Sources: 1994/1995 National Population Health Survey; 2015
Canadian Community Health Survey; 1996 and 2016 Census of
Population; life tables for 1993-to-1995 and 2013-to-2015.
age
Males
age
Females
Life expectancy HALE
Increase in years Increase in years
0 1 2 3 4 5
At birth
20
35
45
55
65
75
85
0 1 2 3 4 5
At birth
20
35
45
55
65
75
85
18 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 •
Statistics Canada, Catalogue no. 82-003-X
Health-adjusted life expectancy in Canada • Research Article
increased from 80.9 to 83.9 years, and
HALE, from 67.8 to 70.5 years.
Among males, the absolute increase
was greater for life expectancy than for
HALE (Figure 2). For example, during
the past 20 years, at age 65, men gained
3.3 years of life expectancy and 2.7 years
of HALE. By contrast, among females,
the absolute increase in life expectancy
and HALE was similar but lower than for
males. Consequently, the gap between
males and females in years of life expect-
ancy and HALE has narrowed over time.
HALE relative to life expectancy
The ratio of HALE to life expectancy—
the percentage of years spent in good
functional health—changed marginally
between 1994/1995 and 2015 (Figure 3).
Change among males was negligible
at all ages, whereas among females, a
modest gain was apparent at age 65 or
older. Nevertheless, at all ages and at all
time points, a smaller share of females’
remaining years was spent in good health
compared with males. For example,
in 1994/1995 and in 2015, at age 20,
females could expect to spend 81% of
their remaining years in good health; the
percentage for males was 85%.
Attribute-deleted HALE
The HUI3 is comprised of six health
attributes: sensory, mobility, dexterity,
emotion, cognition, and pain. The rela-
tive importance of each in explaining
the difference between HALE and life
expectancy (years of ill health) varied by
age and sex, and over time. At age 20,
for both sexes, pain was a greater source
of diminished health in 2015 than it had
been in 1994/1995 (Table 2). The relative
importance of mobility also increased
slightly, while that of sensory problems
declined.
At age 65, mobility became a more
important source of diminished health for
males; mobility and pain became more
important for females (Table 2). Sensory
problems declined in relative importance
for seniors of both sexes.
When estimates of attribute-deleted
HALE were restricted to the household
population, in both periods (1994/1995
and 2015), the percentage of years in ill
health due to pain was higher at both ages
(at age 20 and at age 65), while the per-
centage assigned to the combined effect
of multiple attributes (the residual) was
lower (results not shown).
Sensitivity analyses
Recalculating HALE in 2015 by
assuming a 0.03 increase or a 0.03
decrease in individual HUI3 for the insti-
tutional population from 1994/1995, or
by using the HUI3 based on the 2012
interRAI assessments, had little effect on
HALE, even at the oldest ages (results not
shown). Recalculating HALE excluding
the institutional population, however,
resulted in increased values, particularly
among females (results not shown). It
also yielded higher ratios of HALE to
life expectancy for both sexes (Figure 4).
The exclusion had little effect on ratios
at birth or at age 20, but at older ages,
it resulted in a larger share of remaining
years in good functional health.
Figure 3
Ratio of health-adjusted life expectancy (HALE) to life
expectancy (LE) at selected
ages, by sex, household and institutional populations combined,
Canada, 1994/1995,
1998/1999, 2001, 2005, 2009/2010 and 2015
HALE/LE
Sources: 1994/1995 and 1998/1999 National Population Health
Survey; 2001, 2005, 2009/2010 and 2015 Canadian
Community Health Survey; 1996, 2001, 2006, 2011 and 2016
Census of Population; life tables for 1993-to-1995, 1997-to-
1999,
2000-to-2002, 2004-to-2006, 2009-to-2011 and 2013-to-2015.
Males
At birth
Age 20
Age 35
Age 45
Age 55
Age 65
Age 75
Age 85+
Females
At birth
Age 20
Age 35
Age 45
Age 55
Age 65
Age 75
Age 85+
0.35
0.45
0.55
0.65
0.75
0.85
1994/1995 1998/1999 2001 2005 2009/2010 2015
0.35
0.45
0.55
0.65
0.75
0.85
1994/1995 1998/1999 2001 2005 2009/2010 2015
19Statistics Canada, Catalogue no. 82-003-X • Health Reports,
Vol. 29, no. 4, pp. 14-22, April 2018
Health-adjusted life expectancy in Canada • Research Article
Table 2
Difference (years) between life expectancy and health-adjusted
life expectancy at
ages 20 and 65, by sex and HUI3 attribute, household and
institutional population
combined, Canada, 1994/1995 and 2015
Attribute
and sex
Age 20
Attribute
and sex
Age 65
1994/1995 2015 1994/1995 2015
Years % Years % Years % Years %
Males Males
Overall† 8.6 100.0 9.4 100.0 Overall† 4.1 100.0 4.7 100.0
Cognition 2.3 26.7 2.4 25.5 Sensory 1.0 24.4 1.0 21.3
Pain 1.8 20.9 2.2 23.4 Pain 0.8 19.5 0.9 19.1
Sensory 1.7 19.8 1.5 16.0 Cognition 0.8 19.5 0.9 19.1
Emotion 1.2 14.0 1.1 11.7 Mobility 0.4 9.8 0.6 12.8
Mobility 0.5 5.8 0.7 7.4 Emotion 0.3 7.3 0.3 6.4
Dexterity 0.1 1.2 0.1 1.1 Dexterity 0.1 2.4 0.1 2.1
Residual‡ 1.0 11.6 1.4 14.9 Residual‡ 0.7 17.1 0.9 19.1
Females Females
Overall† 11.9 100.0 12.1 100.0 Overall† 6.6 100.0 6.7 100.0
Cognition 2.7 22.7 2.8 23.1 Sensory 1.4 21.2 1.0 14.9
Pain 2.6 21.8 3.2 26.4 Pain 1.2 18.2 1.4 20.9
Sensory 2.2 18.5 1.7 14.0 Cognition 1.2 18.2 1.1 16.4
Emotion 1.3 10.9 1.1 9.1 Mobility 0.8 12.1 1.1 16.4
Mobility 0.9 7.6 1.2 9.9 Emotion 0.4 6.1 0.4 6.0
Dexterity 0.2 1.7 0.1 0.8 Dexterity 0.1 1.5 0.1 1.5
Residual‡ 1.9 16.8 2.0 16.5 Residual‡ 1.5 22.7 1.6 23.9
† sum of differences assigned to each attribute, plus residual
‡ contribution of combined effects of multiple attributes
HUI3 = Health Utilities Index Mark 3
Note: Percentages may not add up to 100 due to rounding.
Sources: 1994/1995 National Population Health Survey and
2015 Canadian Community Health Survey; 1996 and 2016
Census
of population; life tables for 1993-to-1995 and 2013-to-2015.
The present study measured health
expectancy using the Health Utilities
Index Mark 3 (HUI3) instrument, which
assigns an overall score to a respondent’s
self-reported level of impairment associ-
ated with sensory (vision, hearing, and
speech), ambulation, dexterity, emotion,
cognition, and pain. Over time, sensory
problems accounted for a smaller share
of the burden of ill health for both sexes,
while mobility problems increased in
relative importance. A decline in the
prevalence of sensory problems has also
been reported in the United States,31 as
has an increase in mobility disability.32
The present study found that pain
accounted for a greater share of ill health
among females, whereas Stewart et al.27
reported a decrease in pain prevalence
between 1987 and 2008. This differ-
ence might reflect how pain was defined.
The Stewart study pertained to pain that
interfered with normal work, but pain in
the present study prevented activities in
general.
If morbidity is compressed into a
shorter period before death, the impact
is less severe than if longer life involved
many years of costly care and treat-
ment of illness and disability.31 The
present study found that the ratio of
HALE to life expectancy remained rela-
tively stable for people younger than
65, which suggests neither compression
nor expansion of morbidity relative to
life expectancy. For females aged 65 or
older, the ratio increased marginally, as
their self-reported health status improved
slightly over time. Cutler et al. reported
an improvement in the ratio of disabil-
ity-free life expectancy to life expectancy
between 1991 and 2009 for men and
women aged 65 or older in the U.S., with
greater improvements among women.31
Findings from other studies are mixed.
Although it has been suggested that more
populations worldwide are spending
more time with functional health loss,5
Freedman et al. reported improvements
between 1982 and 2011 in the percentage
of years expected to be lived without a
disability for males in the United States
and little change for females.26 By con-
trast, in Canada, Steensma et al. found
little change for either sex in the per-
centage of life spent in an unhealthy state
Discussion
Over the past 20 years, life expectancy
and HALE increased in Canada, and the
gap between the sexes narrowed because
of greater gains by males. In 2015,
HALE at birth was 69.0 years for males
and 70.5 years for females, increases
of 4.0 and 2.7 years, respectively, since
1994/1995. Throughout the period, the
ratio of HALE to life expectancy—the
share of years in good functional health—
was higher for males than for females.
However, there was little change in this
ratio over time for males, but a marginal
improvement among women aged 65 or
older. The importance of sensory prob-
lems as a source of diminished health
declined for both sexes, while mobility
and pain, the latter among females,
accounted for a higher percentage of the
burden of ill health.
The well-documented increase in
life expectancy in Canada is due in
large part to a decline in late-life mor-
tality since the 1950s.24,25 That HALE
also increased has been reported in
Canada and elsewhere,14,26,27 although
how much of the improvement that can
be attributed to reductions in morbidity
versus mortality depends on the health
expectancy indicator. A study based on
the HUI3 reported that gains in HALE
came primarily through improvements in
mortality,14 whereas studies using other
measures found that declines in symp-
toms and impairments27 or in disability
prevalence26 accounted for some of the
improvement.
The present study found differences
in life expectancy and HALE between
males and females. Narrowing of the life
expectancy gap between the sexes has
been attributed to factors that include a
reduction in violent deaths among male
teenagers and young adults, better treat-
ment for cardiovascular diseases, and
increasing similarity in women’s and
men’s behaviour, notably, smoking,
drinking, and work-related stress.1 That
males spend a greater share of their lives
in good functional health compared with
females has been reported in many coun-
tries.26,28-30 Women may live longer with
illness because their health problems are
less lethal, whereas men may be more
likely to suffer from conditions that lead
to earlier death.29
20 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 •
Statistics Canada, Catalogue no. 82-003-X
Health-adjusted life expectancy in Canada • Research Article
between 1994 and 2010.14 Data from the
Canadian Chronic Disease Surveillance
System, on the other hand, suggest that
from 2000 to 2011, a growing percentage
of people were living with diseases
including ischemic heart disease, chronic
obstructive pulmonary disorder, and dia-
betes, all of which decreased in incidence
among those 50 or older, but increased
in prevalence.33 These seemingly con-
tradictory findings point to the difficulty
of drawing definitive conclusions from
studies with different data sources, target
populations, reference periods, and indi-
cators of health expectancy.34
Strengths and limitations
This study has many strengths. HUI3 is
a continuous scale, which makes it less
sensitive to measurement error than
dichotomous estimates of health status
such as prevalence of disability. Data
were available over a 20-year period.
HALE was estimated not only for the
household population, but also incorpor-
ated the health status and the percentage
of people in health-related institutions,
thereby providing a more complete
picture of health expectancy. Without the
institutional population, HALE would
have been significantly higher, particu-
larly at age 65 or older.
At the same time, the lack of recent
estimates of the health status of the
institutional population is a limitation
and a major data gap. Although this
population is included in administrative
databases that collect information about
diseases and chronic conditions, national
information about their health-related
quality of life is not regularly collected.
Life expectancy and HALE for the year
2015 were based on life table data for the
2013-to-2015 period, which was the most
recent available. Variations in the collec-
tion modes of the NPHS and the CCHS,
and declining CCHS response rates
could affect health-related estimates over
time.35,36 Although applying the survey
weights ensured that the sample was rep-
resentative of the target population, bias
might exist if non-respondents differed
systematically from respondents.
Conclusion
Life expectancy and HALE have
increased over time in Canada. The gap
between males and females has narrowed
because of greater gains by males during
the past 20 years. The ratio of HALE
to life expectancy has remained stable,
which suggests neither a reduction nor
improvement in overall functional health
relative to life expectancy. Mobility prob-
lems and pain, the latter mainly among
females, now account for a greater per-
centage of the burden of ill health. Future
years of data for both the household and
institutional populations are necessary to
provide further insight into the compon-
ents of and trends in health expectancy.
Acknowledgements
The authors gratefully acknowledge the
help of Philippe Finès who provided the
syntax to produce the variance estimates
for HALE. ■
Figure 4
Ratio of health-adjusted life expectancy (HALE) to life
expectancy (LE) at selected
ages, with and without institutional population, by sex, Canada,
1994/1995,
1998/1999, 2001, 2005, 2009/2010 and 2015
HALE/LE
Sources: 1994/1995 and 1998/1999 National Population Health
Survey; 2001, 2005, 2009/2010 and 2015 Canadian
Community Health Survey; 1996, 2001, 2006, 2011 and 2016
Census of Population; life tables for 1993-to-1995, 1997-to-
1999, 2000-to-2002, 2004-to-2006, 2009-to-2011 and 2013-to-
2015.
Males
Females
At birth
(household only)
At birth
Age 20
(household only)
Age 20
Age 65
(household only)
Age 65
Age 85+
(household only)
Age 85+
At birth
(household only)
At birth
Age 20
(household only)
Age 20
Age 65
(household only)
Age 65
Age 85+
(household only)
Age 85+
0.35
0.45
0.55
0.65
0.75
0.85
1994/1995 1998/1999 2001 2005 2009/2010 2015
0.35
0.45
0.55
0.65
0.75
0.85
1994/1995 1998/1999 2001 2005 2009/2010 2015
21Statistics Canada, Catalogue no. 82-003-X • Health Reports,
Vol. 29, no. 4, pp. 14-22, April 2018
Health-adjusted life expectancy in Canada • Research Article
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https://open.canada.ca/data/en/dataset/9525c8c0-554a-461b-
a763-f1657acb9c9d
https://open.canada.ca/data/en/dataset/9525c8c0-554a-461b-
a763-f1657acb9c9d
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a763-f1657acb9c9d
22 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 •
Statistics Canada, Catalogue no. 82-003-X
Health-adjusted life expectancy in Canada • Research Article
Appendix
Table A
Life expectancy (LE) and health-adjusted life expectancy
(HALE) at selected ages, by sex, Canada, 1994/1995,
1998/1999, 2001, 2005,
2009/2010 and 2015
1994/1995 1998/1999 2001 2005 2009/2010 2015
Years SE Years SE Years SE Years SE Years SE Years SE
Males
At birth LE 74.9 0.02 76.0 0.02 76.9 0.02 77.9 0.02 79.1 0.02
79.8 0.02
HALE 65.0 0.07 67.4 0.07 67.3 0.04 68.1 0.06 69.3 0.04 69.0
0.06
Age 20 LE 55.9 0.02 56.8 0.02 57.7 0.02 58.7 0.02 59.8 0.02
60.5 0.02
HALE 47.3 0.06 49.3 0.06 49.3 0.03 50.2 0.05 51.3 0.03 51.1
0.05
Age 35 LE 41.7 0.02 42.5 0.02 43.4 0.02 44.3 0.02 45.5 0.02
46.1 0.02
HALE 34.6 0.06 35.8 0.06 36.1 0.03 37.2 0.05 38.1 0.03 38.2
0.04
Age 45 LE 32.5 0.02 33.2 0.02 33.9 0.02 34.9 0.02 36.0 0.02
36.6 0.02
HALE 26.3 0.06 27.2 0.06 27.6 0.03 28.7 0.05 29.5 0.03 29.6
0.04
Age 55 LE 23.6 0.02 24.2 0.02 25.0 0.02 25.9 0.02 26.9 0.02
27.6 0.02
HALE 18.5 0.05 19.1 0.06 19.7 0.03 20.7 0.05 21.5 0.03 21.7
0.04
Age 65 LE 15.9 0.02 16.3 0.02 17.0 0.02 17.7 0.02 18.6 0.02
19.2 0.02
HALE 11.8 0.05 12.0 0.06 12.6 0.02 13.5 0.04 14.2 0.03 14.4
0.04
Age 75 LE 9.7 0.02 9.9 0.02 10.3 0.02 10.8 0.02 11.5 0.02 12.0
0.02
HALE 6.4 0.05 6.5 0.06 6.8 0.02 7.3 0.05 7.9 0.03 8.0 0.04
Age 85
or older
LE 5.4 0.02 5.3 0.02 5.5 0.02 5.7 0.02 6.1 0.02 6.4 0.02
HALE 2.7 0.07 2.8 0.08 2.7 0.03 3.0 0.06 3.2 0.04 3.3 0.05
Females
At birth LE 80.9 0.02 81.4 0.02 81.9 0.02 82.6 0.02 83.5 0.02
83.9 0.02
HALE 67.8 0.08 70.1 0.07 69.8 0.03 70.6 0.06 71.3 0.04 70.5
0.05
Age 20 LE 61.7 0.02 62.1 0.02 62.5 0.02 63.2 0.02 64.0 0.02
64.5 0.02
HALE 49.8 0.07 51.6 0.07 51.5 0.03 52.3 0.05 53.0 0.03 52.3
0.05
Age 35 LE 47.0 0.02 47.4 0.02 47.8 0.02 48.5 0.02 49.3 0.02
49.8 0.02
HALE 36.7 0.07 38.1 0.06 38.1 0.03 39.1 0.05 39.5 0.03 39.2
0.04
Age 45 LE 37.5 0.02 37.8 0.02 38.2 0.02 38.9 0.02 39.7 0.02
40.1 0.02
HALE 28.2 0.07 29.3 0.06 29.6 0.03 30.4 0.05 30.8 0.03 30.7
0.04
Age 55 LE 28.3 0.02 28.6 0.02 29.0 0.02 29.6 0.02 30.4 0.02
30.8 0.02
HALE 20.4 0.06 21.2 0.05 21.5 0.03 22.2 0.04 22.7 0.03 22.7
0.04
Age 65 LE 19.8 0.02 20.0 0.02 20.3 0.02 20.9 0.02 21.6 0.02
22.0 0.02
HALE 13.2 0.06 13.8 0.05 14.1 0.02 14.7 0.04 15.2 0.02 15.3
0.03
Age 75 LE 12.5 0.02 12.5 0.02 12.7 0.02 13.2 0.02 13.8 0.02
14.1 0.01
HALE 7.1 0.05 7.3 0.05 7.5 0.02 8.0 0.04 8.4 0.02 8.5 0.03
Age 85
or older
LE 6.8 0.02 6.7 0.02 6.8 0.01 7.0 0.01 7.4 0.01 7.6 0.01
HALE 2.7 0.05 2.7 0.04 2.8 0.02 3.0 0.04 3.3 0.02 3.3 0.03
SE = standard error
Sources: 1994/1995 and 1998/1999 National Population Health
Survey; 2001, 2005, 2009/2010 and 2015 Canadian Community
Health Survey; 1996, 2001, 2006, 2011 and 2016 Census of
Population;
life tables for 1993-to-1995, 1997-to-1999, 2000-to-2002, 2004-
to-2006, 2009-to-2011 and 2013-to-2015.
Statistics Canada information is reproduced with the permission
of the Minister of Industry,
as Minister responsible for Statistics Canada. Information on
the availability of data from
Statistics Canada can be obtained from Statistics Canada's
Regional Offices, www.statcan.ca,
or by calling 1-800-263-1136.
Can a company focused on happiness be successful? Zappos, an
online retailer, is proving it can. Tony Hsieh, CEO of Zappos
says, “It’s a brand about happiness, whether to customers or
employees or even vendors.” Its zany corporate culture and
focus on customer satisfac- tion has made Zappos both
successful and a model for other companies. Zappos has built a
culture of integrity in all of its activities. The company provides
an incredible example of managing ethics and social
responsibility by addressing challenges and responding to stake-
holder issues.
This case examines how the company’s focus on stakeholder
happiness contributed to its success. First, we examine the
history of Zappos, its core values, and unique business model.
Next, we analyze its corporate culture and how it influences its
relationships with employees, customers, the environment, and
communities. We then look at some of the challenges the
company faced and how it plans to move into the future.
HISTORY
Nick Swinmurn founded Zappos in 1999 after a fruitless day
spent shopping for shoes in San Francisco. After looking online,
Swinmurn decided to quit his job and start a shoe website that
offered the best selection and best service. Originally called
ShoeSite.com, the company started as a middleman, transferring
orders between customers and suppliers but not holding any
inventory (a “drop ship” strategy). The website was soon
renamed Zappos, after the Spanish word for shoes (zapatos).
In 2000 entrepreneur Tony Hsieh became the company’s CEO.
Hsieh, 26 at the time, was an early investor in Zappos, having
made $265 million selling his startup company to Microsoft in
1998. Hsieh was not initially sold on the idea of an Internet
shoe store, but he could not help but become involved. After
becoming CEO, Hsieh made an unconventional decision to keep
Zappos going, even selling his San Francisco loft to pay for a
new ware- house and once setting his salary at just $24.
Zappos struggled for its first few years, making sales but not
generating a profit. The dot-com crash forced Zappos to lay off
half its staff, but the company recovered. By the end of 2002,
Zappos had sales of $32 million but was still not profitable. In
2003 the company decided in order to offer the best customer
service, it had to control the whole value chain—from order to
fulfillment to delivery—and began holding its entire inven-
tory. Zappos moved to Las Vegas in 2004 to take advantage of a
larger pool of experienced call-center employees. The company
generated its first profit in 2007 after reaching $840 milli on in
annual sales. Zappos started to be recognized for its unique
work environment and responsible business practices, as well as
its approach to customer service.
In 2009 Amazon bought the company for $1.2 billion. Although
Hsieh rejected an offer from Amazon in 2005, he believed this
buyout would be better for the company than management from
the current board of directors or an outside investor. Amazon
agreed to let Zappos operate independently and keep Hsieh as
CEO (at his current $36,000 annual salary). Hsieh made $214
million from the acquisition, and Amazon set aside $40 million
for distribution to Zappos employees. After the acquisition, the
company restructured into 10 separate companies organized
under the Zappos Family. Zappos was able to keep its unique
culture and core values.
CORE VALUES
Zappos has 10 core values that guide every activity at the
company and form the heart of the company’s business model
and culture.
Deliver WOW through service.
Embrace and drive change.
Create fun and a little weirdness.
Be adventurous, creative, and open-minded.
Pursue growth and learning.
Build open and honest relationships with communication.
Build a positive team and family spirit.
Do more with less.
Be passionate and determined.
Be humble.*
These core values differ from those of other companies in
several ways. In addition to being untraditional, the core values
create a framework for the company’s actions. This is
exemplified in the company’s commitment to its customers’ and
employees’ well-being and satisfaction.
ZAPPOS’S CUSTOMER-FOCUSED BUSINESS MODEL
The Zappos business model is built around developing long-
term customer relationships. Zappos does not compete on price
because it believes customers want to buy from the business
with the best service and selection. The company strives to
create a unique and addicting shopping experience, offering a
wide selection of shoes, apparel, accessories, and home
products, free shipping to the customer, free shipping and full
refunds on returns, and great customer service. Everything at
Zappos comes down to customer service, exem- plified by its
tagline “Powered by Service.”
Shopping and Shipping
Zappos strives to make the shopping experience enjoyable. The
website is streamlined for an easy shopping experience.
Products are grouped in specialized segments, with some (like
outdoor products) on their own mini-sites. Customers view each
product from mul- tiple angles thanks to photographs taken at
the company’s studio, and Zappos employees make short videos
highlighting the products’ features. Zappos analyzes how
customers navigate the site to improve features, adapt search
results, and plan inventory.
The spirit of simplicity, innovation, and great service extends to
Zappos’s inventory and distribution systems as well. Zappos has
one of the few live inventory systems on the Web. If the Zappos
website displays an item, it is in stock. Once the company sells
out of an item, the listing is removed from the website. This
reduces customer frustration. Its inven- tory and shipping
systems are linked directly to the website via a central database,
and all its information systems are developed in-house and
customized to the company’s needs. Its warehouses operate
around the clock, which allows it to get a product to the
customer faster. Fast shipping creates an instant gratification
similar to shopping in a physical store.
Most companies have a negative view toward returns, but
Zappos has the opposite mentality. It sees returns as the ability
to maintain customer relationships and to increase its profits.
Zappos offers a 100 percent satisfaction guaranteed return
policy. If customers are not satisfied with a purchase, they can
return it within 365 days for a full refund. The customer prints a
prepaid shipping label that allows all domestic customers to
return the product for free. This return policy encourages
customers to order several styles or differ- ent sizes and return
the items that do not work out.
While this strategy seems expensive, it actually works to
Zappos’s advantage. The average industry merchandise return
rate is 35 percent, but the company’s most profit- able
customers tend to return 50 percent of what they purchase. The
customers who have the higher return percentages are the most
profitable because they experienced Zappos’s customer service
and return policy, which creates loyalty to the company. These
customers are likely to make purchases more often and to spend
more on each purchase. This is what helps make Zappos so
successful.
Customer Service
What makes the Zappos business model unique is the company’s
focus on customer ser- vice. The company established a method
of serving customers and handling their issues distinctive from
the rest of the industry. Zappos believes great customer service
is an opportunity to make the customer happy.
Customers are encouraged to call Zappos with any questions.
The number is displayed on every page of the website.
According to Hsieh, Zappos encourages people to call the
company because more interaction with customers increases
their personal connections with the organization. Customer
service representatives actively use social media sites such as
Facebook and Twitter to respond to customer issues. Zappos
also offers an app for cus- tomers to download. To encourage
them to use the app, Zappos offers users 1-day free shipping
simply for downloading the app to their devices.
Another key aspect of its customer service model is that nothing
is scripted. Zappos employees have free rein in their decision
making and are expected to spend as much time as they need to
“wow” customers. They help customers shop, even on their
competitors’ websites, encourage them to buy multiple sizes or
colors to try (since return shipping is free), and do anything it
takes to make the shopping experience memorable.
Zappos’s customer service representatives develop relationships
with customers and make them happy. Stories about great
customer service include customer support calls that last for
hours, sending flowers to customers on their birthdays, and
surprise upgrades to faster shipping. Some extreme cases
included Zappos hand-delivering shoes to customers who lost
luggage and to a groom who forgot the shoes for his wedding.
Zappos has even sent pizzas to the homes of customers who
tweeted to the company about being hungry.
Zappos believes great customer experiences encourage
customers to use the store again. In addition, its long-term
strategy is based on the idea that great customer service will
help it expand into other categories. While around 80 percent of
company orders come from shoes, the markets for housewares
and apparel are much larger. The company says it will expand
into any area it is passionate about and meets customers’ needs.
The company considers word-of-mouth marketing to be the best
way to reach new customers. With over 75 percent of purchases
made by repeat customers, it is evident that the Zappos mission
to “provide the best customer service possible” works well for
the com- pany. Zappos has also engaged in forms of buzz
marketing to spread the word. At one of the annual “Life is
Beautiful” festivals in Las Vegas, Nevada, Zappos developed a
Porta Party. This Zappos-branded mobile restroom included 40-
inch waterproof television mon- itors, a “selfie station,” and
prizes such as gum, whistles, and glow sticks given each time
the user flushed. This fun and unusual public relations initiative
was a hit among consum- ers and fit in well with the firm’s zany
culture.
TRANSPARENCY
Transparency is a critical part of the Zappos model.
Transparency is an ethical principle that involves maintaining
open and truthful communication. Employees receive detailed
information about the company’s performance and are
encouraged to share information about the company. Zappos
believes employees should develop open and honest relation-
ships with all stakeholders in the hope this will assist in
maintaining the company’s reputa- tion. Hsieh uses Facebook
and Twitter to share information with employees and customers
(he has 2.84 million followers on Twitter). When Zappos laid
off 124 employees in 2008, Hsieh announced the decision via
Twitter and later blogged about it. Although some com- panies
hesitate to open themselves to public criticism, Zappos feels it
has nothing to hide. In fact, most of the public posts on its
social media sites are praise from customers.
ZAPPOS INSIGHTS
The Zappos business model is so successful the company offers
tours and workshops. Its three-day culture camp costs $6,000
and teaches participants about the Zappos culture and how to
develop their own successful corporate cultures. The company
also created Zappos Insights, an online service that allows
subscribers to learn more about Zappos’s business practices
through blogs and videos. These programs have high profit
potential for the com- pany because they are built on what
Zappos already does best.
CORPORATE CULTURE
The corporate culture at Zappos sets it apart from nearly every
other company. It even caught the attention of Amazon CEO,
Jeff Bezos, who described the company’s corporate culture as
one-of-a-kind. Zappos’s unorthodox culture is the work of CEO
Tony Hsieh, an innovative and successful entrepreneur. Hsieh
built the culture on the idea that if you can attract talented
people and employees enjoy their work, great service and brand
power nat- urally develops. This culture is built on an ethical
foundation that respects all stakeholders. All aspects of
Zappos’s operations are built on integrity.
WORK ENVIRONMENT
Zappos is famous for its relaxed and wacky atmosphere.
Employee antics include nerf ball wars, office parades, ugly
sweater days, and donut-eating contests. The headquarters fea-
ture an employee nap room, a wellness center, and an open mic
in the cafeteria. Other quirky activities include forcing
employees to wear a “reply-all” hat when they accidentally send
a company-wide email. This environment isn’t just fun; it’s also
strategic. According to Zappos, “When you combine a little
weirdness with making sure everyone is also having fun at
work, it ends up being a win-win for everyone: Employees are
more engaged in the work that they do, and the company as a
whole becomes more innovative.”
Hiring and Training
The key to creating a zany work environment lies in hiring the
right people. The job applica- tion features a crossword puzzle
about Zappos and asks potential employees questions about
which superhero they’d like to be and how lucky they are. They
may also check how potential employees treat people like their
shuttle driver. Zappos is looking for people with a sense of
humor who can work hard and play hard. Potential employees
go through both cultural and technical interviews to make sure
their character fits with a high-integrity company. However,
even Hsieh admits finding great employees is tough. He
believes pursuing too much growth at once harms the company
if the organization starts caring more about the quantity of new
employees rather than the quality. Zappos gets approximately
30,000 job applications annually.
All new employees attend a five-week training program that
includes two weeks on the phones providing customer service
and a week filling orders in a warehouse. To make sure new
employees feel committed to a future with the company, Zappos
offers $2,000 to leave the company after the training (call ed
“The Offer”). Amazon has adopted a similar practice.
Even after the initial training is over, employees take 200 hours
of classes with the company—covering everything from the
basics of business to advanced Twitter use—and read at least
nine business books a year.
Benefits
Another aspect of Zappos that is unique is the benefits it
provides to its employees. The company has an extensive health
plan that pays 100 percent of employee medical benefits and on
average 85 percent of medical expenses for employees’
dependents. The company provides employees with dental,
vision, and life insurance. Other benefits include a flexible
spending account, prepaid legal services, a 40 percent employee
discount, free lunches and snacks, paid volunteer time, life
coaching, and a car pool program.
Along with the extensive benefits package, Zappos developed a
compensation model for its “Customer Loyalty Team” (call -
center representatives) that incentivizes employee development.
At Zappos the goal is to answer 80 percent of customer
inquiries within 20 seconds, although employees are encouraged
to take the time needed to ensure quality ser- vice. Initially,
employees were paid $11 per hour for the first 90 days. After 90
days, the employee moved to $13 per hour. To move beyond $13
an hour, employees had to demon- strate growth and learning by
completing specific skill set courses that allow employees to
specialize in certain areas of the call center. Employees were
given freedom to choose the shifts they wanted based on
seniority. Although the reasoning for Zappos’s compensation
model is to motivate employees and promote personal growth,
the base pay was less than the national hourly average of $15.92
earned by call-center representatives.
Zappos determined that the pay structure and the process for
employee shift sign- ups were inefficient for the company’s
needs. With Hsieh’s encouragement the company adopted
scheduling software called Open Market. Under this new
system, call-center employees would be given 10 percent time
flexibility to pursue their own projects. Employ- ees could
decide when to work, but the compensation system was
revamped to mimic the surge-time pricing of popular ride-
sharing service Uber. With this compensation system, call -
center employees working during periods of high demand would
receive higher pay. In other words, Zappos’s hourly
compensation for its call-center employees would be based on
demand. Zappos hopes to expand this system to all departments
eventually. For seniority-based jobs, this system holds risks.
For instance, seniority-based incentives also take into account
company loyalty, camaraderie with coworkers, and dedication
that are also important to work productivity. However, Zappos
believes the system works well for its call-center employees
because many employees are employed for shorter periods.
Work-Life Integration
One of Zappos’s core values is “Build a positive team and
family spirit,” so the company expects employees to socialize
with each other both in and out of the office. In fact, man- agers
spend 10–20 percent of their time bonding with team members
outside of work. Zappos outings include hiking trips, going to
the movies, and hanging out at bars. Hsieh says this increases
efficiency by improving communication, building trust, and
creating friendships.
Along with creating friendships, employees are encouraged to
support each other. Any employee can give another employee a
$50 reward for great work. Zappos employees com- pile an
annual “culture book” comprising essays on the Zappos culture
and reviews of the company. The culture book helps employees
think about the meaning of their work and is available unedited
to the public. This is based on the principle of transparency.
As with its customers, the foundation of Zappos’s relationships
with its employees is trust and transparency. The company
wants its employees, like its customers, to actively discuss any
issues or concerns that come up. Hsieh does not have an office;
he sits in an open cubicle among the rest of the employees. He
believes “the best way to have an open- door policy is not to
have a door in the first place.” Zappos’s management is open
with employees by regularly discussing issues on the company
blog.
However, this positive work environment comes with the
expectation employees will work hard. Employees are evaluated
on how well they embody the core values and inspire others;
Zappos fires people who do great work if they do not fit with
the culture of the company. This helps maintain a culture of
integrity. The organization wants employees to be dedicated to
the firm and believes appropriate conduct will not occur unless
employees share the same visions and values of the
organization.
Zappos’s New Structure
In 2015 Tony Hsieh made a controversial decision to completely
change the structure of the organization. For the past year the
company had been transitioning toward an organi- zational
structure that abandons the top-down managerial hierarchy in
favor of a redistri- bution of power. Called a Holacracy, this
organizational structure places empowerment at the core of the
organization. Employees become their own leaders with their
own roles. To be effective, a Holacracy requires periodic
governance meetings where each employee understands his or
her roles and responsibilities. Teams hold tactical meetings run
by a facilitator to discuss key issues. While governance
meetings focus on clarity and role struc- ture, tactical meetings
are used to “sync and triage next actions.” It is believed that
this dis- tributed authority increases clarity and transparency
and decreases cognitive dissonance by recognizing tensions
before they become a problem. As Zappos continues to grow,
there is a risk its expansion will make it harder to man- age
employees and control productivity. Hsieh cites statistics that
demonstrate how growth often causes innovation and
productivity per employee to go down. However, he also claims
that when cities double in size, productivity and innovation per
resident increases by 15 percent. Hsieh believes the key to
sustainable growth at Zappos is to operate more like a city than
a business. This is why he decided to restructure the
organization. He feels the best way to handle growth is to
become a Teal organization, starting out by using the Holacracy
structure and evolving from there. In his book Reinventing
Organizations, Frederic Laloux uses a color scheme to describe
the development of human organizations, with Teal being the
highest. The concept of a Teal organization is based on three
premises: self-management developed through peer
relationships, involving the whole person in the work, and
allow- ing the organization to grow and adapt instead of being
driven. A Teal organization is struc- tured under the premise
that all units will work “together to support the whole.” For
Zappos this involves adopting a new structure promoting self-
organization and self-management.
The transformation of Zappos’s organizational structure started
off slowly. However, Hsieh believed this slow transition
hindered the company’s transformation toward self-
organization and self-management. He therefore sent an email
to all 1,500 employees to inform them the organization was
going to take immediate action to transform Zappos into a Teal
organization. This involved eliminating bosses and the
traditional functions of finance, technology, marketing, and
merchandising to create approximately 500 task- oriented
circles structured around specific businesses. Managers became
employees and no longer engaged in traditional management
functions, although their salaries stayed the same throughout
2015.
Hsieh handled the email carefully, making sure to praise
traditional managers for their past contributions but stating they
are no longer required for a Teal organization. He real - ized
there would likely be much resistance from managers and other
employees who did not agree with the new system. To address
these concerns, Hsieh extended “The Offer.” Zappos agreed to
provide employees who wanted to leave severance pay for three
months. Approximately 18 percent of employees chose to take
the package.
This has had strong implications for Zappos in the short term,
and the transition has been difficult for the organization. For
instance, one glitch in the software Zappos uses to help manage
its Holacracy structure accidentally removed Hsieh from the
CEO position. The bylaws of a Holacracy structure require that
when CEOs are removed, the job is auto- matically opened and
the firm must accept cover letters from applicants for the
position. Zappos practiced transparency with consumers and
informed them about the glitch, as well as the fact that the firm
would be accepting cover letters for the position of CEO for a
two-week period. Tony Hsieh continued to be the CEO of the
firm.
In 2016 Zappos fell off the Fortune magazine’s list of 100 Best
Companies to Work For, the first time in eight years. Employee
surveys showed that scores had gone down on 48 out of 58
questions. However, Hsieh believes employees must be
committed to the changes and that it will pay off in the long
term. It is clear that this new organizational approach has
divided up the company, but Hsieh believes this approach is
necessary to handle the compa- ny’s growth and maintain the
same quality service and zany culture that has made it so suc-
cessful. He has expressed regret only that the structure change
was not implemented sooner.
Zappos takes an unconventional approach to corporate social
responsibility (CSR) and philanthropy. Many companies have
CSR programs dedicated to a certain area or cause such as
education, but Zappos prefers to support a variety of programs
based on the needs of communities and the interests of
employees.
Philanthropy
Zappos is involved in a variety of philanthropic efforts.
Programs include donating shoes and gifts as well as giving gift
cards to elementary school students. Zappos donates money to
organizations such as the Shade Tree, a nonprofit that provides
shelter to women and children, and the Nevada Childhood
Cancer Foundation. The company even partnered with Britney
Spears to hold an event at the zoo to raise money for the
foundation. Zappos also has a donation request application
available on its website.
Sustainability
Zappos started a campaign to improve the company’s impact on
the environment. A group of employees created the initiative,
known as Zappos Leading Environmental Awareness for the
Future (L.E.A.F). The campaign focuses on several
environmental efforts, includ- ing a new recycling program,
community gardens, and getting LEED certification for the
company. For instance, Zappos created an annual children’s art
contest that awards prizes for the best drawing involving a
recycling-based theme. The winner was awarded a $50
Zappos.com Gift Card. Like the rest of the company, L.E.A.F. is
open, with its progress posted on its Twitter account and blog.
Another area on the company’s blog is a section on
sustainability. Here, the company highlights new products that
are organic or manufactured using environmentally friendly
procedures. The postings also list ways customers can live more
sustainable lifestyles, including tips on how to throw an eco-
friendly party and green product recommendations.
Recognition
In addition to being the number one online shoe retailer, Zappos
has been recognized for its innovative business practices. The
company appeared on several prestigious lists includ- ing
Fortune’s Best Companies to Work For for eight consecutive
years, Fast Company’s 50 Most Innovative Companies,
BusinessWeek’s Top 25 Customer Service Champs, and
Ethisphere’s World’s Most Ethical Companies. The company
continues to get recognized for its efforts in creating an
environment and business model that encourages transparency
and strong relationships among all stakeholders.
ETHICAL CHALLENGES FOR ZAPPOS
Like any company, Zappos faced some challenging business and
ethical issues in the past. When these issues occur, Zappos
handles situations in a professional and efficient manner.
However, the transparency at Zappos makes some business and
ethical issues more complex as the company strives to solve
problems while keeping its stakeholders informed.
Laying Off Employees
Zappos is known for its commitment to its employees, but the
company faced hard eco- nomic times that demanded tough
decisions. In October 2008, Sequoia Capital, a ven- ture capital
firm that was a controlling investor in Zappos, met to discuss
the problems presented by the economic downturn and its effect
on their portfolio companies. Sequoia Capital instructed Zappos
to cut expenses and make the cash flow positive. As a result,
Hsieh made the difficult decision to lay off 8 percent of
employees. This was not a desired event but was required by
Sequoia Capital.
Zappos strived to handle the layoffs in a respectful and kind
manner. Hsieh sent an email notifying employees of the layoff
and was honest and upfront about the reasons behind the
decisions, even discussing the move on Twitter. Employees who
were laid off received generous severance packages, including
six months of paid COBRA health insur- ance coverage.
Because of the company’s honesty and transparency, employees
and cus- tomers were more understanding of the tough decision
Hsieh and Zappos had to make.
Acquisition by Amazon
In 2009 Zappos was acquired by e-commerce giant
Amazon.com. Many Zappos custom- ers were confused by the
unexpected move and expressed concerns about the future of the
company’s culture and customer service. Most CEOs would not
feel any obligation to address customer concerns over the
acquisition, but Tony Hsieh values the support of Zappos
employees and customers.
Shortly after the acquisition, Hsieh issued a statement about
why he sold Zappos to Amazon. In the statement, Hsieh
discussed the disagreement between Zappos and Sequoia Capital
over management styles and company focus. Specifically, Hsieh
said, “The board’s attitude was that my social experiments
might make for good PR but that they didn’t move the overall
business forward. The board wanted me, or whoever was CEO,
to spend less time on worrying about employee happiness and
more time selling shoes.” Hsieh and Alfred Lin, Zappos’s CFO
and COO, were the only two members on the board committed
to preserving the company’s culture. The board could fire Hsieh
and hire a new CEO who focused more on profits.
Hsieh decided the best way to resolve these issues was to buy
out the board, but he could not do this on his own. After
meeting with Amazon CEO Jeff Bezos, Hsieh com- mitted to a
full acquisition, as long as Zappos could operate independently
and continue to focus on building its culture and customer
service. Many customers were concerned Amazon was not a
good fit for Zappos, but Hsieh addressed those concerns, stating
Amazon and Zappos have the same goals of creating value for
the customer but differ- ent ways of how to do it. He also
assured customers Zappos would continue to maintain its unique
corporate culture. Although consumers were not pleased with
the acquisition, they at least understood why it occurred.
Moreover, Hsieh’s commitment to his beliefs and management
style resonated with consumers.
More than Shoes Campaign
To bring awareness to the fact Zappos sells more than just
shoes, Zappos created a market- ing campaign in 2011 designed
to catch people’s attention. The company released several
advertisements that featured people who appeared to be naked
doing daily activities such as running, hailing a cab, and driving
a scooter. The creative advertisements had certain parts of
models’ bodies blocked off with a box that said “more than
shoes.
The campaign received criticism from several groups because of
their “sexual nature.” However, the catch with these ads was
that the subjects of the ads were not actually nude; they wore
bathing suits or small shorts that were later covered by the box.
Because of the negative attention, Zappos pulled the ads and
released an apology that explained the pro- duction process.
Technical Difficulties
Also in 2011 Zappos experienced some technical difficulties
that resulted in delays and problems in customers’ orders and
shipments. Zappos upgraded one of its processing sys- tems,
and in the process many orders were deleted or delayed. Some
orders had the incor- rect shipping information, and products
were shipped to the wrong location. Although this upset several
customers, Zappos handled the problems and reassured
customers that it would get them their merchandise as soon as
possible. The company also offered different perks, depending
on the circumstances of each customer experience.
Another problem Zappos encountered was that every item from
6pm.com, one of its websites, was priced at $49.95 for six hours
in 2010. The company shut down the website for a few hours to
solve the problem. Zappos honored all the orders from the
pricing mis- take, which resulted in a $1.6 million loss.
Theft of Customer Information
In 2012 hackers broke into Zappos’s computer system, and the
company had to respond to the theft of 24 million customers’
critical personal information. The stolen data included
customers’ names, email addresses, shipping and billing
addresses, phone numbers, and the last four digits of their credit
cards. Zappos immediately addressed the situation by sending
an email to customers notifying them of the security breach.
Zappos assured cus- tomers the servers containing their full
credit card information were not hacked. Its next move was to
disconnect its call center, reasoning that the expected amount of
calls would overload the system.
While Zappos has a reputation for delivering customer service
that is unmatched by any competitor, some customers were
unhappy with how Zappos handled the hack- ing. Many
customers were upset by their information being hacked, but the
situation was made worse by the company’s action of
disconnecting its call center. Although this situa- tion caused
problems for Zappos and blemished its customer service record,
the company has worked to restore its reputation.
THE FUTURE OF ZAPPOS
Zappos remains committed to serving its customers and
employees. So far, the company has retained its unique culture
and continues to expand into new product categories. In one
interview, Hsieh talked about the growth of Zappos and how he
believes expanding into the clothing and merchandise market
will help the company to grow. Hsieh says “the sky is the limit”
for Zappos, and growing and expanding into many different
types of busi- nesses is Zappos’s future. Hsieh continues to look
for talented and creative individuals. He has pledged $1 million
in partnership with Venture for America to bring at least 100
graduates to the Las Vegas area over a five-year period. As
Zappos expands, it will have to work harder to hire the right
people, avoid ethical issues, and maintain its quirky culture.
The company’s new organizational structure and compensation
system for its call-center employees are major steps to expand
without compromising Zappos’s unique culture. Although many
employees ended up leaving the company, Zappos believes these
moves are the right ones to make and will enable the firm to
continue growing both in employees and productivity.
Ethical leadership is a key factor in the success of any
company, and for Zappos having Tony Hsieh as a leader is a
strong indicator for future success. Hsieh expressed that he will
do whatever it takes to make his employees, customers, and
vendors happy. The future for any company looks bright when
its leadership is committed to such strong values. How - ever,
Zappos needs to make sure it continues to focus on its
stakeholders and its long-term vision with or without Hsieh.
Ultimately, Zappos intends to continue to deliver happiness to
its stakeholders. Hsieh says, “At Zappos, our higher purpose is
delivering happiness. Whether it’s the happiness our customers
receive when they get a new pair of shoes or the perfect piece of
clothing, or the happiness they get when dealing with a friendly
customer rep over the phone, or the happiness our employees
feel about being a part of a culture that celebrates their
individu- ality, these are all ways we bring happiness to
people’s lives.”

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14 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 • Sta

  • 1. 14 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 • Statistics Canada, Catalogue no. 82-003-X Health-adjusted life expectancy in Canada • Research Article Abstract Background: Over the past century, life expectancy at birth in Canada has risen substantially. However, these gains in the quantity of life say little about gains in the quality of life. Methods: Health-adjusted life expectancy (HALE), an indicator of quality of life, was estimated for the household and institutional populations combined every four years from 1994/1995 to 2015. Health status was measured by the Health Utilities Index Mark 3 instrument in two national population health surveys, and was used to adjust life expectancy. The percentage of the population living in health-related institutions was estimated based on the Census of Population. Attribute-deleted HALE was calculated to determine how various aspects of health status contributed to the differences between life expectancy and HALE. Results: HALE has increased in Canada. Greater gains among males have narrowed the gap between males and females. The ratio of HALE to life expectancy changed little for males, and a marginal improvement was observed for females aged 65 or older. Mobility problems and pain, the latter mainly among females, accounted for an increased share of the burden of ill health over time. Exclusion of the institutional population significantly increased the estimates of HALE and yielded higher ratios of HALE to life expectancy.
  • 2. Interpretation: Although people are living longer, the share of years spent in good functional health has remained fairly constant. Data for both the household and institutional populations are necessary for a complete picture of health expectancy in Canada. Keywords: Gender differences, health expectancy, Health Utility Index, morbidity, mortality, summary measures of health Authors: Tracey Bushnik ([email protected]) and Michael Tjepkema are with the Health Analysis Division and Laurent Martel is with the Demography Division at Statistics Canada, Ottawa, Ontario. Health-adjusted life expectancy in Canada by Tracey Bushnik, Michael Tjepkema and Laurent Martel Over the past century, life expectancy at birth in Canada has risen substantially to 79.8 years for males, and 83.9 years for females.1,2 These increases in the quantity of life say little about the quality of life. How quality of life is keeping pace with the increase in life expectancy is an important health indicator.3,4 Health expectancy is a summary indicator that incorporates information on mortality (such as life expectancy) and health status (such as morbidity) into a single estimate that can be considered a measure of quality of life.5-7 Health expectancy rep- resents the number of years of life lived in good health that could be expected,4 based on the average experience in a population if current patterns of mortality and health states persisted.3,7,8 Several Canadian studies have estimated health expectancy using various measures of health status (such as health utility
  • 3. indices, prevalence of disability, incidence of disease) and data sources.3,9-15 The most recent study found that, in general, the health expectancy of the population living in private households was relatively stable from 1994 to 2010, and that absolute gains in health expectancy were due mainly to a decrease in mortality with little change in morbidity.14 However, a limitation of this and many other studies is exclusion of the institutional popula- tion, who are more likely to be in ill health; excluding them may create an overly optimistic picture of population health.16 This study calculates health-adjusted life expectancy (HALE) for the combined household and institutional population every four years from 1994/1995 to 2015. Trends over time in health status, life expectancy, and HALE are examined. Health status is estimated using the Health Utilities Index Mark 3 (HUI3) instru- ment,17 which has been used for previous estimates of HALE in Canada.10,12-15 The study also discusses how HALE has changed relative to life expectancy. To better understand how specific aspects of health status contribute to differences between HALE and life expectancy, attribute-deleted HALE is estimated and assessed over time. Methods Data sources National Population Health Survey and Canadian Community Health Survey Estimates for the HUI3 are derived from responses to the 1994/1995 and 1998/1999 National Population Health Survey (NPHS), and the 2001, 2005, 2009/2010 and 2015 Canadian Community Health Survey (CCHS). Information about the NPHS and the CCHS is available at www.statcan.gc.ca, and is
  • 4. summarized briefly here. The target population of the NPHS Household component was residents of private households in the ten provinces, excluding residents of Indian Reserves, Crown Lands, some remote areas in Ontario and Quebec and health institutions, and full-time members of the Canadian Forces. The selected household/ selected person response rates for the 1994/1995 and 1998/1999 NPHS were 88.7%/96.1% and 87.6%/98.5%, respectively. The target population of the 1994/1995 NPHS Institution component consisted of residents of health institutions (long-term, at least four beds, and residents not autonomous) sampled in five geo- graphic regions (Atlantic Provinces, Quebec, Ontario, Prairie Provinces, and British Columbia) from three types of institu- tion: institutions for the aged; cognitive institutions; and other rehabilitative institutions. The selected institution/selected resi - dent response rates in 1994/1995 were 95.5%/93.6%. The CCHS covers the population aged 12 or older in the ten provinces and three territories. Residents of Indian Reserves, Crown lands, certain remote regions and institutions and full - time members of the Canadian Forces are excluded; together these exclusions represent less than 3% of the target population. The combined household/selected person response rates for the 2001, 2005, 2009/2010, and 2015 CCHS were: 84.7%; 78.9%; 72.3% and 57.5%. mailto:[email protected] http://www.statcan.gc.ca 15Statistics Canada, Catalogue no. 82-003-X • Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 Health-adjusted life expectancy in Canada • Research Article What is already
  • 5. known on this subject? ■ Life expectancy has increased substantially in Canada over the past century ■ Life expectancy describes quantity of life, whereas health-adjusted life expectancy (HALE) describes quality of life ■ As of 2010, there has been little evidence of a faster increase in HALE than in life expectancy among the household population. What does this study add? ■ Between 1994/1995 and 2015, HALE increased in Canada. ■ The gap between males and females in life expectancy and in HALE narrowed because of greater gains by males. ■ Males spent a larger share of their years of life in good functional health, compared with females. ■ The percentage of years in good functional health was relatively unchanged over time for males, with a marginal improvement for females
  • 6. aged 65 or older. ■ The importance of sensory problems declined, while mobility problems and pain accounted for an increased share of the burden of ill health. ■ Excluding the institutional population significantly increased estimates of HALE, resulting in higher ratios of HALE to life expectancy, particularly for people aged 65 or older. 49,747 (2015 - excludes the territories). As well, 2,283 out of 2,287 institu- tional respondents had a valid HUI3 in 1994/1995, 713 of which had been imputed. Census of Population The Census of Population enumerates the entire population, which consists of Canadian citizens (by birth and by naturalization), landed immigrants and non-permanent residents and their fam- ilies living with them in Canada (detailed information is available at www12. statcan.gc.ca/census-recensement/2016/ ref/index-eng.cfm). The census collected information on dwelling type (private or collective); type of collective dwelling was used to estimate the percentage of the population living in health-related institutions in 1996, 2001, 2006, 2011, and 2016.
  • 7. Life tables Life tables use provincial and territorial mortality data from the Vital Statistics– Death Database and population estimates to calculate life expectancy at birth and at different ages, death probabilities, prob- abilities of survival between two ages, years of life lived, and the number of survivors at different ages.18 Life expect- ancy and HALE were estimated for each survey year using complete (by single- year-of-age) life table data for males and females for 1993-to-1995, 1997-to-1999, 2000-to-2002, 2004-to-2006, 2009-to- 2011, and 2013-to-2015.2 Measures Health Utilities Index Mark 3 (HUI3) The Health Utilities Index Mark 3 (HUI3) measures eight attributes of self-reported health status: vision, hearing, speech, ambulation, dex- terity, emotion, cognition, and pain.17 A respondent’s attribute levels—from normal to highly impaired—are sum- marized by a weighted scoring function into a single value representing their overall health state. The value can range from -0.36 (state worse than death; death represented by 0) to 1.00 (best possible health state). This study uses data from respondents with a valid HUI3. In general, the household non-response rate for HUI3
  • 8. was less than 1% in any survey year, resulting in the following sample sizes for this analysis: 15,989 (1994/1995); 16,408 (1998/1999); 129,834 (2001); 30,809 (2005); 121,606 (2009/2010) and Institutional population For this study, the institutional popula- tion was defined as individuals living in the following types of health-related col- lective dwellings on census day: general and specialty hospitals (including chronic care, short- or long-term care); nursing homes; residences for senior cit- izens; group homes or institutions for the physically handicapped and treatment centres; and group homes and institutions or residential care facilities for people with psychiatric disorders or develop- mental disabilities. Individuals not living in such dwellings were considered to be in the household population. Statistical analysis Health-adjusted life expectancy (HALE) To estimate HALE, mean HUI3 scores by sex and age group were tabulated for the household population in each survey year and the institutional popu- lation in 1994/1995. Age groups were: 0 to 11 (for the household population in 1994/1995 and 1998/1999, the mean value for 4- to 11-year-olds was assigned to the entire 0-to-11 age group, and the
  • 9. mean value from 1998/1999 was carried forward to all subsequent years), 12 to 14 (HUI3 is available in the CCHS starting at age 12), 15 to 24, 25 to 34, 35 to 44, 45 to 54, 55 to 64, 65 to 74, 75 to 84, and 85 or older. Survey weights were applied so that the mean HUI3 estimates were representative of the health status of the underlying target populations by sex and age group, and bootstrap weights were applied so that the standard errors were estimated taking into account each sur- vey’s complex design.19 The percentages of people living in private households and in health-related institutions were estimated by sex and age group using census data. Mean HUI3 scores (by sex and age group) for the household population (HUI3 household) in each survey year were multiplied by the percentage in households by sex and age group estimated from each census year as follows (survey year*census year): 1994/1995*1996; 1998/1999*1996; 2001*2001; 2005*2006; 2009/2010*2011 www12.statcan.gc.ca/census-recensement/2016/ref/index- eng.cfm www12.statcan.gc.ca/census-recensement/2016/ref/index- eng.cfm www12.statcan.gc.ca/census-recensement/2016/ref/index- eng.cfm 16 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 •
  • 10. Statistics Canada, Catalogue no. 82-003-X Health-adjusted life expectancy in Canada • Research Article and 2015*2016. For the institutional population, the mean HUI3 scores (by sex and age group) in 1994/1995 (HUI3 institution) were carried forward to all subsequent survey years, multiplied by the percentage by sex and age group in health-related institutions estimated from each census year as shown above. The resulting two values—HUI3 household and HUI3 institution—were summed to provide overall HUI3 scores by sex and age group for each survey year. The vari- ance of the overall HUI3 score by sex and age group was estimated from the sum of the variance of HUI3 household multiplied by the square of the percentage in households and the variance of HUI3 institution multiplied by the square of the percentage in institutions. HALE was estimated for each survey year using a modified version of the Sullivan method.20 The life expectancy information from each three-year set of complete life tables by sex was weighted by the number of life-years lived at a par- ticular age x using the mean HUI3 for that age. The sum of the adjusted life-years beyond age x was then divided by the number of survivors at that age to yield HALE by age and sex.6 The variance of HALE was estimated using the method proposed by Mathers,21 which takes sto-
  • 11. chastic fluctuations in the observed death probabilities and the mean global HUI3 scores into account. Attribute-deleted HALE Attribute-deleted HALE for the house- hold and institutional populations was estimated for 1994/1995 and 2015 to determine how much of the difference between HALE and life expectancy was ascribed to each HUI attribute. To produce attribute-deleted HALE, the overall HUI3 score was recalculated for the household and institutional popu- lations separately six times, each time assigning a perfect score (1.0) to one attribute but leaving the others at their actual levels. Vision, hearing, and speech were combined into “sensory.” There were no missing values for the household population in 1994/1995 or 2015, but for the 1994/1995 institutional population, missing values for each attribute—vision (n = 271), hearing (n = 117), speech (n = 60), ambulation (n = 20), dexterity (n = 50), emotion (n = 185), cognition (n = 95), and pain (n = 137)— were assigned the average score by sex and age group from those with complete data for that attribute. The HUI3 esti- mates for the institutional population in 1994/1995 were carried forward to 2015. The attribute-deleted HUI3 estimates
  • 12. for the household and institutional popu- lations in each survey year were summed to provide an overall attribute-deleted HUI3 score by sex and age group in 1994/1995 and 2015. Sensitivity analyses The estimates of HUI3 for the insti- tutional population that were used to calculate HALE in 2015 were adjusted to reflect three scenarios: 0.03 added to each institutional respondent’s HUI3 score from 1994/1995; 0.03 subtracted from each HUI3 score; and the score replaced by HUI3 values derived from the 2012 interRAI assessments of the nursing home population in Ontario.22 The amount 0.03 was selected because it is the smallest difference in HUI3 that reflects a meaningful change.23 Adjusted mean values of HUI3 (up, down, and replaced) were estimated by sex and age group, and then multiplied by the percentage of the population living in institutions in 2016 and combined with the HUI3 values for the CCHS household population in 2015 for an overall HUI3 estimate. HALE in 2015 was then recalculated. A second sensitivity analysis excluded the HUI3 estimates for the institutional population from the HALE estimated at each period, thereby limiting the results to the house- hold population. Results
  • 13. Health status of household and institutional populations In 2015, the average HUI3 of men and women in the household population who were younger than 65 was similar to that in 1994/1995 (Table 1). For those aged 65 or older, the average HUI3 in 2015 was higher than in 1994/1995. Owing to the increased likelihood of institutionalization with advancing age, estimates for household residents are less representative of the older population. In Table 1 Mean HUI3 scores, by sex and age group, household and institutional population, Canada, 1994/1995, 1998/1999, 2001, 2005, 2009/2010 and 2015 Sex/Age group Household population Institutional population 1994/1995 1998/1999 2001 2005 2009/2010 2015 1994/1995 Mean SE Mean SE Mean SE Mean SE Mean SE Mean SE Mean SE Males 15 to 24 0.889 0.007 0.940 0.005 0.915 0.002 0.897 0.005 0.913 0.002 0.892 0.006 0.556 0.192 25 to 34 0.900 0.006 0.943 0.004 0.919 0.003 0.915 0.004 0.916 0.003 0.902 0.004 0.193 0.060
  • 14. 35 to 44 0.897 0.006 0.922 0.006 0.903 0.002 0.900 0.006 0.904 0.003 0.898 0.004 0.331 0.050 45 to 54 0.872 0.007 0.894 0.006 0.879 0.003 0.883 0.007 0.882 0.003 0.873 0.004 0.308 0.081 55 to 64 0.847 0.010 0.873 0.008 0.858 0.004 0.861 0.007 0.865 0.004 0.852 0.006 0.345 0.072 65 to 74 0.816 0.010 0.806 0.011 0.832 0.004 0.856 0.007 0.850 0.003 0.849 0.006 0.219 0.038 75 to 84 0.753 0.019 0.740 0.023 0.753 0.008 0.771 0.013 0.788 0.006 0.782 0.010 0.146 0.024 85 or older 0.592 0.053 0.644 0.056 0.591 0.019 0.619 0.042 0.627 0.024 0.614 0.033 0.170 0.030 Females 15 to 24 0.882 0.007 0.933 0.004 0.907 0.002 0.895 0.005 0.906 0.003 0.872 0.005 0.584 0.181 25 to 34 0.895 0.006 0.912 0.009 0.908 0.002 0.904 0.005 0.918 0.002 0.900 0.004 0.138 0.070 35 to 44 0.889 0.006 0.910 0.005 0.888 0.002 0.898 0.005 0.898 0.003 0.878 0.005 0.155 0.065 45 to 54 0.839 0.009 0.875 0.009 0.862 0.003 0.874 0.005 0.863 0.004 0.850 0.007 0.305 0.079 55 to 64 0.828 0.009 0.849 0.009 0.845 0.003 0.850 0.006 0.849 0.003 0.836 0.006 0.265 0.070 65 to 74 0.787 0.014 0.823 0.009 0.826 0.004 0.836 0.007 0.832 0.003 0.825 0.006 0.196 0.038 75 to 84 0.708 0.016 0.727 0.016 0.729 0.006 0.758 0.012 0.762 0.006 0.762 0.009 0.157 0.025 85 or older 0.571 0.036 0.572 0.033 0.588 0.014 0.584 0.028 0.629 0.012 0.620 0.019 0.097 0.016 HUI3 = Health Utility Index Mark 3 SE = standard error Sources: 1994/1995 and 1998/1999 National Population Health Survey; 2001, 2005, 2009/2010 and 2015 Canadian Community Health Survey.
  • 15. 17Statistics Canada, Catalogue no. 82-003-X • Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 Health-adjusted life expectancy in Canada • Research Article 2016, 5.7% of men and 9.1% of women aged 75 to 84, and 23.1% of men and 35.6% of women aged 85 or older lived in health-related institutions. According to the 1994/1995 NPHS, the average HUI3 of the institutional population was substantially lower than that of the household population (Table 1). For men aged 75 to 84, average HUI3 was .146 for the institutional popu- lation versus .753 for the household population; for men aged 85 or older, the figures were .170 versus .592. Similar differences were observed for women in these age groups: .157 versus .708, and .097 versus .571. Life expectancy and HALE Between 1994/1995 and 2015, life expectancy and HALE increased among both sexes and at all ages (Appendix Table A). Male life expectancy at birth rose from 74.9 to 79.8 years, and HALE, from 65.0 to 69.0 years (Figure 1). Females’ life expectancy at birth Figure 1
  • 16. Life expectancy and health-adjusted life expectancy (HALE) at birth, by sex, household and institutional populations combined, Canada, 1994/1995, 1998/1999, 2001, 2005, 2009/2010 and 2015 Sources: 1994/1995 and 1998/1999 National Population Health Survey; 2001, 2005, 2009/2010 and 2015 Canadian Community Health Survey; 1996, 2001, 2006, 2011 and 2016 Census of Population; life tables for 1993-to-1995, 1997-to-1999, 2000- to-2002, 2004-to-2006, 2009-to-2011 and 2013-to-2015. years Males years Females Life expectancy HALE 60 64 68 72 76 80 84 1994/1995 1998/1999 2001 2005 2009/2010 2015 60
  • 17. 64 68 72 76 80 84 1994/1995 1998/1999 2001 2005 2009/2010 2015 Figure 2 Increase in life expectancy and health-adjusted life expectancy (HALE) between 1994/1995 and 2015 at selected ages, by sex, household and institutional populations combined, Canada Sources: 1994/1995 National Population Health Survey; 2015 Canadian Community Health Survey; 1996 and 2016 Census of Population; life tables for 1993-to-1995 and 2013-to-2015. age Males age Females Life expectancy HALE Increase in years Increase in years 0 1 2 3 4 5 At birth
  • 18. 20 35 45 55 65 75 85 0 1 2 3 4 5 At birth 20 35 45 55 65 75 85 18 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 • Statistics Canada, Catalogue no. 82-003-X
  • 19. Health-adjusted life expectancy in Canada • Research Article increased from 80.9 to 83.9 years, and HALE, from 67.8 to 70.5 years. Among males, the absolute increase was greater for life expectancy than for HALE (Figure 2). For example, during the past 20 years, at age 65, men gained 3.3 years of life expectancy and 2.7 years of HALE. By contrast, among females, the absolute increase in life expectancy and HALE was similar but lower than for males. Consequently, the gap between males and females in years of life expect- ancy and HALE has narrowed over time. HALE relative to life expectancy The ratio of HALE to life expectancy— the percentage of years spent in good functional health—changed marginally between 1994/1995 and 2015 (Figure 3). Change among males was negligible at all ages, whereas among females, a modest gain was apparent at age 65 or older. Nevertheless, at all ages and at all time points, a smaller share of females’ remaining years was spent in good health compared with males. For example, in 1994/1995 and in 2015, at age 20, females could expect to spend 81% of their remaining years in good health; the percentage for males was 85%. Attribute-deleted HALE The HUI3 is comprised of six health
  • 20. attributes: sensory, mobility, dexterity, emotion, cognition, and pain. The rela- tive importance of each in explaining the difference between HALE and life expectancy (years of ill health) varied by age and sex, and over time. At age 20, for both sexes, pain was a greater source of diminished health in 2015 than it had been in 1994/1995 (Table 2). The relative importance of mobility also increased slightly, while that of sensory problems declined. At age 65, mobility became a more important source of diminished health for males; mobility and pain became more important for females (Table 2). Sensory problems declined in relative importance for seniors of both sexes. When estimates of attribute-deleted HALE were restricted to the household population, in both periods (1994/1995 and 2015), the percentage of years in ill health due to pain was higher at both ages (at age 20 and at age 65), while the per- centage assigned to the combined effect of multiple attributes (the residual) was lower (results not shown). Sensitivity analyses Recalculating HALE in 2015 by assuming a 0.03 increase or a 0.03 decrease in individual HUI3 for the insti- tutional population from 1994/1995, or
  • 21. by using the HUI3 based on the 2012 interRAI assessments, had little effect on HALE, even at the oldest ages (results not shown). Recalculating HALE excluding the institutional population, however, resulted in increased values, particularly among females (results not shown). It also yielded higher ratios of HALE to life expectancy for both sexes (Figure 4). The exclusion had little effect on ratios at birth or at age 20, but at older ages, it resulted in a larger share of remaining years in good functional health. Figure 3 Ratio of health-adjusted life expectancy (HALE) to life expectancy (LE) at selected ages, by sex, household and institutional populations combined, Canada, 1994/1995, 1998/1999, 2001, 2005, 2009/2010 and 2015 HALE/LE Sources: 1994/1995 and 1998/1999 National Population Health Survey; 2001, 2005, 2009/2010 and 2015 Canadian Community Health Survey; 1996, 2001, 2006, 2011 and 2016 Census of Population; life tables for 1993-to-1995, 1997-to- 1999, 2000-to-2002, 2004-to-2006, 2009-to-2011 and 2013-to-2015. Males At birth Age 20
  • 22. Age 35 Age 45 Age 55 Age 65 Age 75 Age 85+ Females At birth Age 20 Age 35 Age 45 Age 55 Age 65 Age 75 Age 85+ 0.35 0.45 0.55
  • 23. 0.65 0.75 0.85 1994/1995 1998/1999 2001 2005 2009/2010 2015 0.35 0.45 0.55 0.65 0.75 0.85 1994/1995 1998/1999 2001 2005 2009/2010 2015 19Statistics Canada, Catalogue no. 82-003-X • Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 Health-adjusted life expectancy in Canada • Research Article Table 2 Difference (years) between life expectancy and health-adjusted life expectancy at ages 20 and 65, by sex and HUI3 attribute, household and institutional population combined, Canada, 1994/1995 and 2015 Attribute
  • 24. and sex Age 20 Attribute and sex Age 65 1994/1995 2015 1994/1995 2015 Years % Years % Years % Years % Males Males Overall† 8.6 100.0 9.4 100.0 Overall† 4.1 100.0 4.7 100.0 Cognition 2.3 26.7 2.4 25.5 Sensory 1.0 24.4 1.0 21.3 Pain 1.8 20.9 2.2 23.4 Pain 0.8 19.5 0.9 19.1 Sensory 1.7 19.8 1.5 16.0 Cognition 0.8 19.5 0.9 19.1 Emotion 1.2 14.0 1.1 11.7 Mobility 0.4 9.8 0.6 12.8 Mobility 0.5 5.8 0.7 7.4 Emotion 0.3 7.3 0.3 6.4 Dexterity 0.1 1.2 0.1 1.1 Dexterity 0.1 2.4 0.1 2.1 Residual‡ 1.0 11.6 1.4 14.9 Residual‡ 0.7 17.1 0.9 19.1 Females Females Overall† 11.9 100.0 12.1 100.0 Overall† 6.6 100.0 6.7 100.0 Cognition 2.7 22.7 2.8 23.1 Sensory 1.4 21.2 1.0 14.9 Pain 2.6 21.8 3.2 26.4 Pain 1.2 18.2 1.4 20.9 Sensory 2.2 18.5 1.7 14.0 Cognition 1.2 18.2 1.1 16.4 Emotion 1.3 10.9 1.1 9.1 Mobility 0.8 12.1 1.1 16.4 Mobility 0.9 7.6 1.2 9.9 Emotion 0.4 6.1 0.4 6.0 Dexterity 0.2 1.7 0.1 0.8 Dexterity 0.1 1.5 0.1 1.5 Residual‡ 1.9 16.8 2.0 16.5 Residual‡ 1.5 22.7 1.6 23.9 † sum of differences assigned to each attribute, plus residual ‡ contribution of combined effects of multiple attributes HUI3 = Health Utilities Index Mark 3 Note: Percentages may not add up to 100 due to rounding. Sources: 1994/1995 National Population Health Survey and 2015 Canadian Community Health Survey; 1996 and 2016
  • 25. Census of population; life tables for 1993-to-1995 and 2013-to-2015. The present study measured health expectancy using the Health Utilities Index Mark 3 (HUI3) instrument, which assigns an overall score to a respondent’s self-reported level of impairment associ- ated with sensory (vision, hearing, and speech), ambulation, dexterity, emotion, cognition, and pain. Over time, sensory problems accounted for a smaller share of the burden of ill health for both sexes, while mobility problems increased in relative importance. A decline in the prevalence of sensory problems has also been reported in the United States,31 as has an increase in mobility disability.32 The present study found that pain accounted for a greater share of ill health among females, whereas Stewart et al.27 reported a decrease in pain prevalence between 1987 and 2008. This differ- ence might reflect how pain was defined. The Stewart study pertained to pain that interfered with normal work, but pain in the present study prevented activities in general. If morbidity is compressed into a shorter period before death, the impact is less severe than if longer life involved many years of costly care and treat- ment of illness and disability.31 The present study found that the ratio of HALE to life expectancy remained rela-
  • 26. tively stable for people younger than 65, which suggests neither compression nor expansion of morbidity relative to life expectancy. For females aged 65 or older, the ratio increased marginally, as their self-reported health status improved slightly over time. Cutler et al. reported an improvement in the ratio of disabil- ity-free life expectancy to life expectancy between 1991 and 2009 for men and women aged 65 or older in the U.S., with greater improvements among women.31 Findings from other studies are mixed. Although it has been suggested that more populations worldwide are spending more time with functional health loss,5 Freedman et al. reported improvements between 1982 and 2011 in the percentage of years expected to be lived without a disability for males in the United States and little change for females.26 By con- trast, in Canada, Steensma et al. found little change for either sex in the per- centage of life spent in an unhealthy state Discussion Over the past 20 years, life expectancy and HALE increased in Canada, and the gap between the sexes narrowed because of greater gains by males. In 2015, HALE at birth was 69.0 years for males and 70.5 years for females, increases of 4.0 and 2.7 years, respectively, since 1994/1995. Throughout the period, the ratio of HALE to life expectancy—the share of years in good functional health—
  • 27. was higher for males than for females. However, there was little change in this ratio over time for males, but a marginal improvement among women aged 65 or older. The importance of sensory prob- lems as a source of diminished health declined for both sexes, while mobility and pain, the latter among females, accounted for a higher percentage of the burden of ill health. The well-documented increase in life expectancy in Canada is due in large part to a decline in late-life mor- tality since the 1950s.24,25 That HALE also increased has been reported in Canada and elsewhere,14,26,27 although how much of the improvement that can be attributed to reductions in morbidity versus mortality depends on the health expectancy indicator. A study based on the HUI3 reported that gains in HALE came primarily through improvements in mortality,14 whereas studies using other measures found that declines in symp- toms and impairments27 or in disability prevalence26 accounted for some of the improvement. The present study found differences in life expectancy and HALE between males and females. Narrowing of the life expectancy gap between the sexes has been attributed to factors that include a reduction in violent deaths among male
  • 28. teenagers and young adults, better treat- ment for cardiovascular diseases, and increasing similarity in women’s and men’s behaviour, notably, smoking, drinking, and work-related stress.1 That males spend a greater share of their lives in good functional health compared with females has been reported in many coun- tries.26,28-30 Women may live longer with illness because their health problems are less lethal, whereas men may be more likely to suffer from conditions that lead to earlier death.29 20 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 • Statistics Canada, Catalogue no. 82-003-X Health-adjusted life expectancy in Canada • Research Article between 1994 and 2010.14 Data from the Canadian Chronic Disease Surveillance System, on the other hand, suggest that from 2000 to 2011, a growing percentage of people were living with diseases including ischemic heart disease, chronic obstructive pulmonary disorder, and dia- betes, all of which decreased in incidence among those 50 or older, but increased in prevalence.33 These seemingly con- tradictory findings point to the difficulty of drawing definitive conclusions from studies with different data sources, target populations, reference periods, and indi- cators of health expectancy.34
  • 29. Strengths and limitations This study has many strengths. HUI3 is a continuous scale, which makes it less sensitive to measurement error than dichotomous estimates of health status such as prevalence of disability. Data were available over a 20-year period. HALE was estimated not only for the household population, but also incorpor- ated the health status and the percentage of people in health-related institutions, thereby providing a more complete picture of health expectancy. Without the institutional population, HALE would have been significantly higher, particu- larly at age 65 or older. At the same time, the lack of recent estimates of the health status of the institutional population is a limitation and a major data gap. Although this population is included in administrative databases that collect information about diseases and chronic conditions, national information about their health-related quality of life is not regularly collected. Life expectancy and HALE for the year 2015 were based on life table data for the 2013-to-2015 period, which was the most recent available. Variations in the collec- tion modes of the NPHS and the CCHS, and declining CCHS response rates could affect health-related estimates over time.35,36 Although applying the survey
  • 30. weights ensured that the sample was rep- resentative of the target population, bias might exist if non-respondents differed systematically from respondents. Conclusion Life expectancy and HALE have increased over time in Canada. The gap between males and females has narrowed because of greater gains by males during the past 20 years. The ratio of HALE to life expectancy has remained stable, which suggests neither a reduction nor improvement in overall functional health relative to life expectancy. Mobility prob- lems and pain, the latter mainly among females, now account for a greater per- centage of the burden of ill health. Future years of data for both the household and institutional populations are necessary to provide further insight into the compon- ents of and trends in health expectancy. Acknowledgements The authors gratefully acknowledge the help of Philippe Finès who provided the syntax to produce the variance estimates for HALE. ■ Figure 4 Ratio of health-adjusted life expectancy (HALE) to life expectancy (LE) at selected ages, with and without institutional population, by sex, Canada, 1994/1995, 1998/1999, 2001, 2005, 2009/2010 and 2015 HALE/LE
  • 31. Sources: 1994/1995 and 1998/1999 National Population Health Survey; 2001, 2005, 2009/2010 and 2015 Canadian Community Health Survey; 1996, 2001, 2006, 2011 and 2016 Census of Population; life tables for 1993-to-1995, 1997-to- 1999, 2000-to-2002, 2004-to-2006, 2009-to-2011 and 2013-to- 2015. Males Females At birth (household only) At birth Age 20 (household only) Age 20 Age 65 (household only) Age 65 Age 85+ (household only) Age 85+ At birth (household only) At birth
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  • 39. Methods. Toronto, Canada: American Statistical Association, 2004. https://open.canada.ca/data/en/dataset/9525c8c0-554a-461b- a763-f1657acb9c9d https://open.canada.ca/data/en/dataset/9525c8c0-554a-461b- a763-f1657acb9c9d https://open.canada.ca/data/en/dataset/9525c8c0-554a-461b- a763-f1657acb9c9d 22 Health Reports, Vol. 29, no. 4, pp. 14-22, April 2018 • Statistics Canada, Catalogue no. 82-003-X Health-adjusted life expectancy in Canada • Research Article Appendix Table A Life expectancy (LE) and health-adjusted life expectancy (HALE) at selected ages, by sex, Canada, 1994/1995, 1998/1999, 2001, 2005, 2009/2010 and 2015 1994/1995 1998/1999 2001 2005 2009/2010 2015 Years SE Years SE Years SE Years SE Years SE Years SE Males At birth LE 74.9 0.02 76.0 0.02 76.9 0.02 77.9 0.02 79.1 0.02 79.8 0.02 HALE 65.0 0.07 67.4 0.07 67.3 0.04 68.1 0.06 69.3 0.04 69.0 0.06 Age 20 LE 55.9 0.02 56.8 0.02 57.7 0.02 58.7 0.02 59.8 0.02 60.5 0.02 HALE 47.3 0.06 49.3 0.06 49.3 0.03 50.2 0.05 51.3 0.03 51.1
  • 40. 0.05 Age 35 LE 41.7 0.02 42.5 0.02 43.4 0.02 44.3 0.02 45.5 0.02 46.1 0.02 HALE 34.6 0.06 35.8 0.06 36.1 0.03 37.2 0.05 38.1 0.03 38.2 0.04 Age 45 LE 32.5 0.02 33.2 0.02 33.9 0.02 34.9 0.02 36.0 0.02 36.6 0.02 HALE 26.3 0.06 27.2 0.06 27.6 0.03 28.7 0.05 29.5 0.03 29.6 0.04 Age 55 LE 23.6 0.02 24.2 0.02 25.0 0.02 25.9 0.02 26.9 0.02 27.6 0.02 HALE 18.5 0.05 19.1 0.06 19.7 0.03 20.7 0.05 21.5 0.03 21.7 0.04 Age 65 LE 15.9 0.02 16.3 0.02 17.0 0.02 17.7 0.02 18.6 0.02 19.2 0.02 HALE 11.8 0.05 12.0 0.06 12.6 0.02 13.5 0.04 14.2 0.03 14.4 0.04 Age 75 LE 9.7 0.02 9.9 0.02 10.3 0.02 10.8 0.02 11.5 0.02 12.0 0.02 HALE 6.4 0.05 6.5 0.06 6.8 0.02 7.3 0.05 7.9 0.03 8.0 0.04 Age 85 or older LE 5.4 0.02 5.3 0.02 5.5 0.02 5.7 0.02 6.1 0.02 6.4 0.02 HALE 2.7 0.07 2.8 0.08 2.7 0.03 3.0 0.06 3.2 0.04 3.3 0.05 Females At birth LE 80.9 0.02 81.4 0.02 81.9 0.02 82.6 0.02 83.5 0.02 83.9 0.02
  • 41. HALE 67.8 0.08 70.1 0.07 69.8 0.03 70.6 0.06 71.3 0.04 70.5 0.05 Age 20 LE 61.7 0.02 62.1 0.02 62.5 0.02 63.2 0.02 64.0 0.02 64.5 0.02 HALE 49.8 0.07 51.6 0.07 51.5 0.03 52.3 0.05 53.0 0.03 52.3 0.05 Age 35 LE 47.0 0.02 47.4 0.02 47.8 0.02 48.5 0.02 49.3 0.02 49.8 0.02 HALE 36.7 0.07 38.1 0.06 38.1 0.03 39.1 0.05 39.5 0.03 39.2 0.04 Age 45 LE 37.5 0.02 37.8 0.02 38.2 0.02 38.9 0.02 39.7 0.02 40.1 0.02 HALE 28.2 0.07 29.3 0.06 29.6 0.03 30.4 0.05 30.8 0.03 30.7 0.04 Age 55 LE 28.3 0.02 28.6 0.02 29.0 0.02 29.6 0.02 30.4 0.02 30.8 0.02 HALE 20.4 0.06 21.2 0.05 21.5 0.03 22.2 0.04 22.7 0.03 22.7 0.04 Age 65 LE 19.8 0.02 20.0 0.02 20.3 0.02 20.9 0.02 21.6 0.02 22.0 0.02 HALE 13.2 0.06 13.8 0.05 14.1 0.02 14.7 0.04 15.2 0.02 15.3 0.03 Age 75 LE 12.5 0.02 12.5 0.02 12.7 0.02 13.2 0.02 13.8 0.02 14.1 0.01 HALE 7.1 0.05 7.3 0.05 7.5 0.02 8.0 0.04 8.4 0.02 8.5 0.03 Age 85 or older LE 6.8 0.02 6.7 0.02 6.8 0.01 7.0 0.01 7.4 0.01 7.6 0.01
  • 42. HALE 2.7 0.05 2.7 0.04 2.8 0.02 3.0 0.04 3.3 0.02 3.3 0.03 SE = standard error Sources: 1994/1995 and 1998/1999 National Population Health Survey; 2001, 2005, 2009/2010 and 2015 Canadian Community Health Survey; 1996, 2001, 2006, 2011 and 2016 Census of Population; life tables for 1993-to-1995, 1997-to-1999, 2000-to-2002, 2004- to-2006, 2009-to-2011 and 2013-to-2015. Statistics Canada information is reproduced with the permission of the Minister of Industry, as Minister responsible for Statistics Canada. Information on the availability of data from Statistics Canada can be obtained from Statistics Canada's Regional Offices, www.statcan.ca, or by calling 1-800-263-1136. Can a company focused on happiness be successful? Zappos, an online retailer, is proving it can. Tony Hsieh, CEO of Zappos says, “It’s a brand about happiness, whether to customers or employees or even vendors.” Its zany corporate culture and focus on customer satisfac- tion has made Zappos both successful and a model for other companies. Zappos has built a culture of integrity in all of its activities. The company provides an incredible example of managing ethics and social responsibility by addressing challenges and responding to stake- holder issues. This case examines how the company’s focus on stakeholder happiness contributed to its success. First, we examine the history of Zappos, its core values, and unique business model. Next, we analyze its corporate culture and how it influences its relationships with employees, customers, the environment, and
  • 43. communities. We then look at some of the challenges the company faced and how it plans to move into the future. HISTORY Nick Swinmurn founded Zappos in 1999 after a fruitless day spent shopping for shoes in San Francisco. After looking online, Swinmurn decided to quit his job and start a shoe website that offered the best selection and best service. Originally called ShoeSite.com, the company started as a middleman, transferring orders between customers and suppliers but not holding any inventory (a “drop ship” strategy). The website was soon renamed Zappos, after the Spanish word for shoes (zapatos). In 2000 entrepreneur Tony Hsieh became the company’s CEO. Hsieh, 26 at the time, was an early investor in Zappos, having made $265 million selling his startup company to Microsoft in 1998. Hsieh was not initially sold on the idea of an Internet shoe store, but he could not help but become involved. After becoming CEO, Hsieh made an unconventional decision to keep Zappos going, even selling his San Francisco loft to pay for a new ware- house and once setting his salary at just $24. Zappos struggled for its first few years, making sales but not generating a profit. The dot-com crash forced Zappos to lay off half its staff, but the company recovered. By the end of 2002, Zappos had sales of $32 million but was still not profitable. In 2003 the company decided in order to offer the best customer service, it had to control the whole value chain—from order to fulfillment to delivery—and began holding its entire inven- tory. Zappos moved to Las Vegas in 2004 to take advantage of a larger pool of experienced call-center employees. The company generated its first profit in 2007 after reaching $840 milli on in annual sales. Zappos started to be recognized for its unique work environment and responsible business practices, as well as its approach to customer service. In 2009 Amazon bought the company for $1.2 billion. Although Hsieh rejected an offer from Amazon in 2005, he believed this buyout would be better for the company than management from the current board of directors or an outside investor. Amazon
  • 44. agreed to let Zappos operate independently and keep Hsieh as CEO (at his current $36,000 annual salary). Hsieh made $214 million from the acquisition, and Amazon set aside $40 million for distribution to Zappos employees. After the acquisition, the company restructured into 10 separate companies organized under the Zappos Family. Zappos was able to keep its unique culture and core values. CORE VALUES Zappos has 10 core values that guide every activity at the company and form the heart of the company’s business model and culture. Deliver WOW through service. Embrace and drive change. Create fun and a little weirdness. Be adventurous, creative, and open-minded. Pursue growth and learning. Build open and honest relationships with communication. Build a positive team and family spirit. Do more with less. Be passionate and determined. Be humble.* These core values differ from those of other companies in several ways. In addition to being untraditional, the core values create a framework for the company’s actions. This is exemplified in the company’s commitment to its customers’ and employees’ well-being and satisfaction. ZAPPOS’S CUSTOMER-FOCUSED BUSINESS MODEL The Zappos business model is built around developing long- term customer relationships. Zappos does not compete on price because it believes customers want to buy from the business with the best service and selection. The company strives to create a unique and addicting shopping experience, offering a wide selection of shoes, apparel, accessories, and home products, free shipping to the customer, free shipping and full
  • 45. refunds on returns, and great customer service. Everything at Zappos comes down to customer service, exem- plified by its tagline “Powered by Service.” Shopping and Shipping Zappos strives to make the shopping experience enjoyable. The website is streamlined for an easy shopping experience. Products are grouped in specialized segments, with some (like outdoor products) on their own mini-sites. Customers view each product from mul- tiple angles thanks to photographs taken at the company’s studio, and Zappos employees make short videos highlighting the products’ features. Zappos analyzes how customers navigate the site to improve features, adapt search results, and plan inventory. The spirit of simplicity, innovation, and great service extends to Zappos’s inventory and distribution systems as well. Zappos has one of the few live inventory systems on the Web. If the Zappos website displays an item, it is in stock. Once the company sells out of an item, the listing is removed from the website. This reduces customer frustration. Its inven- tory and shipping systems are linked directly to the website via a central database, and all its information systems are developed in-house and customized to the company’s needs. Its warehouses operate around the clock, which allows it to get a product to the customer faster. Fast shipping creates an instant gratification similar to shopping in a physical store. Most companies have a negative view toward returns, but Zappos has the opposite mentality. It sees returns as the ability to maintain customer relationships and to increase its profits. Zappos offers a 100 percent satisfaction guaranteed return policy. If customers are not satisfied with a purchase, they can return it within 365 days for a full refund. The customer prints a prepaid shipping label that allows all domestic customers to return the product for free. This return policy encourages customers to order several styles or differ- ent sizes and return the items that do not work out.
  • 46. While this strategy seems expensive, it actually works to Zappos’s advantage. The average industry merchandise return rate is 35 percent, but the company’s most profit- able customers tend to return 50 percent of what they purchase. The customers who have the higher return percentages are the most profitable because they experienced Zappos’s customer service and return policy, which creates loyalty to the company. These customers are likely to make purchases more often and to spend more on each purchase. This is what helps make Zappos so successful. Customer Service What makes the Zappos business model unique is the company’s focus on customer ser- vice. The company established a method of serving customers and handling their issues distinctive from the rest of the industry. Zappos believes great customer service is an opportunity to make the customer happy. Customers are encouraged to call Zappos with any questions. The number is displayed on every page of the website. According to Hsieh, Zappos encourages people to call the company because more interaction with customers increases their personal connections with the organization. Customer service representatives actively use social media sites such as Facebook and Twitter to respond to customer issues. Zappos also offers an app for cus- tomers to download. To encourage them to use the app, Zappos offers users 1-day free shipping simply for downloading the app to their devices. Another key aspect of its customer service model is that nothing is scripted. Zappos employees have free rein in their decision making and are expected to spend as much time as they need to “wow” customers. They help customers shop, even on their competitors’ websites, encourage them to buy multiple sizes or colors to try (since return shipping is free), and do anything it takes to make the shopping experience memorable. Zappos’s customer service representatives develop relationships with customers and make them happy. Stories about great
  • 47. customer service include customer support calls that last for hours, sending flowers to customers on their birthdays, and surprise upgrades to faster shipping. Some extreme cases included Zappos hand-delivering shoes to customers who lost luggage and to a groom who forgot the shoes for his wedding. Zappos has even sent pizzas to the homes of customers who tweeted to the company about being hungry. Zappos believes great customer experiences encourage customers to use the store again. In addition, its long-term strategy is based on the idea that great customer service will help it expand into other categories. While around 80 percent of company orders come from shoes, the markets for housewares and apparel are much larger. The company says it will expand into any area it is passionate about and meets customers’ needs. The company considers word-of-mouth marketing to be the best way to reach new customers. With over 75 percent of purchases made by repeat customers, it is evident that the Zappos mission to “provide the best customer service possible” works well for the com- pany. Zappos has also engaged in forms of buzz marketing to spread the word. At one of the annual “Life is Beautiful” festivals in Las Vegas, Nevada, Zappos developed a Porta Party. This Zappos-branded mobile restroom included 40- inch waterproof television mon- itors, a “selfie station,” and prizes such as gum, whistles, and glow sticks given each time the user flushed. This fun and unusual public relations initiative was a hit among consum- ers and fit in well with the firm’s zany culture. TRANSPARENCY Transparency is a critical part of the Zappos model. Transparency is an ethical principle that involves maintaining open and truthful communication. Employees receive detailed information about the company’s performance and are encouraged to share information about the company. Zappos believes employees should develop open and honest relation- ships with all stakeholders in the hope this will assist in
  • 48. maintaining the company’s reputa- tion. Hsieh uses Facebook and Twitter to share information with employees and customers (he has 2.84 million followers on Twitter). When Zappos laid off 124 employees in 2008, Hsieh announced the decision via Twitter and later blogged about it. Although some com- panies hesitate to open themselves to public criticism, Zappos feels it has nothing to hide. In fact, most of the public posts on its social media sites are praise from customers. ZAPPOS INSIGHTS The Zappos business model is so successful the company offers tours and workshops. Its three-day culture camp costs $6,000 and teaches participants about the Zappos culture and how to develop their own successful corporate cultures. The company also created Zappos Insights, an online service that allows subscribers to learn more about Zappos’s business practices through blogs and videos. These programs have high profit potential for the com- pany because they are built on what Zappos already does best. CORPORATE CULTURE The corporate culture at Zappos sets it apart from nearly every other company. It even caught the attention of Amazon CEO, Jeff Bezos, who described the company’s corporate culture as one-of-a-kind. Zappos’s unorthodox culture is the work of CEO Tony Hsieh, an innovative and successful entrepreneur. Hsieh built the culture on the idea that if you can attract talented people and employees enjoy their work, great service and brand power nat- urally develops. This culture is built on an ethical foundation that respects all stakeholders. All aspects of Zappos’s operations are built on integrity. WORK ENVIRONMENT Zappos is famous for its relaxed and wacky atmosphere. Employee antics include nerf ball wars, office parades, ugly sweater days, and donut-eating contests. The headquarters fea-
  • 49. ture an employee nap room, a wellness center, and an open mic in the cafeteria. Other quirky activities include forcing employees to wear a “reply-all” hat when they accidentally send a company-wide email. This environment isn’t just fun; it’s also strategic. According to Zappos, “When you combine a little weirdness with making sure everyone is also having fun at work, it ends up being a win-win for everyone: Employees are more engaged in the work that they do, and the company as a whole becomes more innovative.” Hiring and Training The key to creating a zany work environment lies in hiring the right people. The job applica- tion features a crossword puzzle about Zappos and asks potential employees questions about which superhero they’d like to be and how lucky they are. They may also check how potential employees treat people like their shuttle driver. Zappos is looking for people with a sense of humor who can work hard and play hard. Potential employees go through both cultural and technical interviews to make sure their character fits with a high-integrity company. However, even Hsieh admits finding great employees is tough. He believes pursuing too much growth at once harms the company if the organization starts caring more about the quantity of new employees rather than the quality. Zappos gets approximately 30,000 job applications annually. All new employees attend a five-week training program that includes two weeks on the phones providing customer service and a week filling orders in a warehouse. To make sure new employees feel committed to a future with the company, Zappos offers $2,000 to leave the company after the training (call ed “The Offer”). Amazon has adopted a similar practice. Even after the initial training is over, employees take 200 hours of classes with the company—covering everything from the basics of business to advanced Twitter use—and read at least nine business books a year.
  • 50. Benefits Another aspect of Zappos that is unique is the benefits it provides to its employees. The company has an extensive health plan that pays 100 percent of employee medical benefits and on average 85 percent of medical expenses for employees’ dependents. The company provides employees with dental, vision, and life insurance. Other benefits include a flexible spending account, prepaid legal services, a 40 percent employee discount, free lunches and snacks, paid volunteer time, life coaching, and a car pool program. Along with the extensive benefits package, Zappos developed a compensation model for its “Customer Loyalty Team” (call - center representatives) that incentivizes employee development. At Zappos the goal is to answer 80 percent of customer inquiries within 20 seconds, although employees are encouraged to take the time needed to ensure quality ser- vice. Initially, employees were paid $11 per hour for the first 90 days. After 90 days, the employee moved to $13 per hour. To move beyond $13 an hour, employees had to demon- strate growth and learning by completing specific skill set courses that allow employees to specialize in certain areas of the call center. Employees were given freedom to choose the shifts they wanted based on seniority. Although the reasoning for Zappos’s compensation model is to motivate employees and promote personal growth, the base pay was less than the national hourly average of $15.92 earned by call-center representatives. Zappos determined that the pay structure and the process for employee shift sign- ups were inefficient for the company’s needs. With Hsieh’s encouragement the company adopted scheduling software called Open Market. Under this new system, call-center employees would be given 10 percent time flexibility to pursue their own projects. Employ- ees could decide when to work, but the compensation system was revamped to mimic the surge-time pricing of popular ride- sharing service Uber. With this compensation system, call - center employees working during periods of high demand would
  • 51. receive higher pay. In other words, Zappos’s hourly compensation for its call-center employees would be based on demand. Zappos hopes to expand this system to all departments eventually. For seniority-based jobs, this system holds risks. For instance, seniority-based incentives also take into account company loyalty, camaraderie with coworkers, and dedication that are also important to work productivity. However, Zappos believes the system works well for its call-center employees because many employees are employed for shorter periods. Work-Life Integration One of Zappos’s core values is “Build a positive team and family spirit,” so the company expects employees to socialize with each other both in and out of the office. In fact, man- agers spend 10–20 percent of their time bonding with team members outside of work. Zappos outings include hiking trips, going to the movies, and hanging out at bars. Hsieh says this increases efficiency by improving communication, building trust, and creating friendships. Along with creating friendships, employees are encouraged to support each other. Any employee can give another employee a $50 reward for great work. Zappos employees com- pile an annual “culture book” comprising essays on the Zappos culture and reviews of the company. The culture book helps employees think about the meaning of their work and is available unedited to the public. This is based on the principle of transparency. As with its customers, the foundation of Zappos’s relationships with its employees is trust and transparency. The company wants its employees, like its customers, to actively discuss any issues or concerns that come up. Hsieh does not have an office; he sits in an open cubicle among the rest of the employees. He believes “the best way to have an open- door policy is not to have a door in the first place.” Zappos’s management is open with employees by regularly discussing issues on the company blog. However, this positive work environment comes with the
  • 52. expectation employees will work hard. Employees are evaluated on how well they embody the core values and inspire others; Zappos fires people who do great work if they do not fit with the culture of the company. This helps maintain a culture of integrity. The organization wants employees to be dedicated to the firm and believes appropriate conduct will not occur unless employees share the same visions and values of the organization. Zappos’s New Structure In 2015 Tony Hsieh made a controversial decision to completely change the structure of the organization. For the past year the company had been transitioning toward an organi- zational structure that abandons the top-down managerial hierarchy in favor of a redistri- bution of power. Called a Holacracy, this organizational structure places empowerment at the core of the organization. Employees become their own leaders with their own roles. To be effective, a Holacracy requires periodic governance meetings where each employee understands his or her roles and responsibilities. Teams hold tactical meetings run by a facilitator to discuss key issues. While governance meetings focus on clarity and role struc- ture, tactical meetings are used to “sync and triage next actions.” It is believed that this dis- tributed authority increases clarity and transparency and decreases cognitive dissonance by recognizing tensions before they become a problem. As Zappos continues to grow, there is a risk its expansion will make it harder to man- age employees and control productivity. Hsieh cites statistics that demonstrate how growth often causes innovation and productivity per employee to go down. However, he also claims that when cities double in size, productivity and innovation per resident increases by 15 percent. Hsieh believes the key to sustainable growth at Zappos is to operate more like a city than a business. This is why he decided to restructure the organization. He feels the best way to handle growth is to become a Teal organization, starting out by using the Holacracy
  • 53. structure and evolving from there. In his book Reinventing Organizations, Frederic Laloux uses a color scheme to describe the development of human organizations, with Teal being the highest. The concept of a Teal organization is based on three premises: self-management developed through peer relationships, involving the whole person in the work, and allow- ing the organization to grow and adapt instead of being driven. A Teal organization is struc- tured under the premise that all units will work “together to support the whole.” For Zappos this involves adopting a new structure promoting self- organization and self-management. The transformation of Zappos’s organizational structure started off slowly. However, Hsieh believed this slow transition hindered the company’s transformation toward self- organization and self-management. He therefore sent an email to all 1,500 employees to inform them the organization was going to take immediate action to transform Zappos into a Teal organization. This involved eliminating bosses and the traditional functions of finance, technology, marketing, and merchandising to create approximately 500 task- oriented circles structured around specific businesses. Managers became employees and no longer engaged in traditional management functions, although their salaries stayed the same throughout 2015. Hsieh handled the email carefully, making sure to praise traditional managers for their past contributions but stating they are no longer required for a Teal organization. He real - ized there would likely be much resistance from managers and other employees who did not agree with the new system. To address these concerns, Hsieh extended “The Offer.” Zappos agreed to provide employees who wanted to leave severance pay for three months. Approximately 18 percent of employees chose to take the package. This has had strong implications for Zappos in the short term, and the transition has been difficult for the organization. For instance, one glitch in the software Zappos uses to help manage
  • 54. its Holacracy structure accidentally removed Hsieh from the CEO position. The bylaws of a Holacracy structure require that when CEOs are removed, the job is auto- matically opened and the firm must accept cover letters from applicants for the position. Zappos practiced transparency with consumers and informed them about the glitch, as well as the fact that the firm would be accepting cover letters for the position of CEO for a two-week period. Tony Hsieh continued to be the CEO of the firm. In 2016 Zappos fell off the Fortune magazine’s list of 100 Best Companies to Work For, the first time in eight years. Employee surveys showed that scores had gone down on 48 out of 58 questions. However, Hsieh believes employees must be committed to the changes and that it will pay off in the long term. It is clear that this new organizational approach has divided up the company, but Hsieh believes this approach is necessary to handle the compa- ny’s growth and maintain the same quality service and zany culture that has made it so suc- cessful. He has expressed regret only that the structure change was not implemented sooner. Zappos takes an unconventional approach to corporate social responsibility (CSR) and philanthropy. Many companies have CSR programs dedicated to a certain area or cause such as education, but Zappos prefers to support a variety of programs based on the needs of communities and the interests of employees. Philanthropy Zappos is involved in a variety of philanthropic efforts. Programs include donating shoes and gifts as well as giving gift cards to elementary school students. Zappos donates money to organizations such as the Shade Tree, a nonprofit that provides shelter to women and children, and the Nevada Childhood Cancer Foundation. The company even partnered with Britney Spears to hold an event at the zoo to raise money for the
  • 55. foundation. Zappos also has a donation request application available on its website. Sustainability Zappos started a campaign to improve the company’s impact on the environment. A group of employees created the initiative, known as Zappos Leading Environmental Awareness for the Future (L.E.A.F). The campaign focuses on several environmental efforts, includ- ing a new recycling program, community gardens, and getting LEED certification for the company. For instance, Zappos created an annual children’s art contest that awards prizes for the best drawing involving a recycling-based theme. The winner was awarded a $50 Zappos.com Gift Card. Like the rest of the company, L.E.A.F. is open, with its progress posted on its Twitter account and blog. Another area on the company’s blog is a section on sustainability. Here, the company highlights new products that are organic or manufactured using environmentally friendly procedures. The postings also list ways customers can live more sustainable lifestyles, including tips on how to throw an eco- friendly party and green product recommendations. Recognition In addition to being the number one online shoe retailer, Zappos has been recognized for its innovative business practices. The company appeared on several prestigious lists includ- ing Fortune’s Best Companies to Work For for eight consecutive years, Fast Company’s 50 Most Innovative Companies, BusinessWeek’s Top 25 Customer Service Champs, and Ethisphere’s World’s Most Ethical Companies. The company continues to get recognized for its efforts in creating an environment and business model that encourages transparency and strong relationships among all stakeholders. ETHICAL CHALLENGES FOR ZAPPOS Like any company, Zappos faced some challenging business and
  • 56. ethical issues in the past. When these issues occur, Zappos handles situations in a professional and efficient manner. However, the transparency at Zappos makes some business and ethical issues more complex as the company strives to solve problems while keeping its stakeholders informed. Laying Off Employees Zappos is known for its commitment to its employees, but the company faced hard eco- nomic times that demanded tough decisions. In October 2008, Sequoia Capital, a ven- ture capital firm that was a controlling investor in Zappos, met to discuss the problems presented by the economic downturn and its effect on their portfolio companies. Sequoia Capital instructed Zappos to cut expenses and make the cash flow positive. As a result, Hsieh made the difficult decision to lay off 8 percent of employees. This was not a desired event but was required by Sequoia Capital. Zappos strived to handle the layoffs in a respectful and kind manner. Hsieh sent an email notifying employees of the layoff and was honest and upfront about the reasons behind the decisions, even discussing the move on Twitter. Employees who were laid off received generous severance packages, including six months of paid COBRA health insur- ance coverage. Because of the company’s honesty and transparency, employees and cus- tomers were more understanding of the tough decision Hsieh and Zappos had to make. Acquisition by Amazon In 2009 Zappos was acquired by e-commerce giant Amazon.com. Many Zappos custom- ers were confused by the unexpected move and expressed concerns about the future of the company’s culture and customer service. Most CEOs would not feel any obligation to address customer concerns over the acquisition, but Tony Hsieh values the support of Zappos employees and customers. Shortly after the acquisition, Hsieh issued a statement about
  • 57. why he sold Zappos to Amazon. In the statement, Hsieh discussed the disagreement between Zappos and Sequoia Capital over management styles and company focus. Specifically, Hsieh said, “The board’s attitude was that my social experiments might make for good PR but that they didn’t move the overall business forward. The board wanted me, or whoever was CEO, to spend less time on worrying about employee happiness and more time selling shoes.” Hsieh and Alfred Lin, Zappos’s CFO and COO, were the only two members on the board committed to preserving the company’s culture. The board could fire Hsieh and hire a new CEO who focused more on profits. Hsieh decided the best way to resolve these issues was to buy out the board, but he could not do this on his own. After meeting with Amazon CEO Jeff Bezos, Hsieh com- mitted to a full acquisition, as long as Zappos could operate independently and continue to focus on building its culture and customer service. Many customers were concerned Amazon was not a good fit for Zappos, but Hsieh addressed those concerns, stating Amazon and Zappos have the same goals of creating value for the customer but differ- ent ways of how to do it. He also assured customers Zappos would continue to maintain its unique corporate culture. Although consumers were not pleased with the acquisition, they at least understood why it occurred. Moreover, Hsieh’s commitment to his beliefs and management style resonated with consumers. More than Shoes Campaign To bring awareness to the fact Zappos sells more than just shoes, Zappos created a market- ing campaign in 2011 designed to catch people’s attention. The company released several advertisements that featured people who appeared to be naked doing daily activities such as running, hailing a cab, and driving a scooter. The creative advertisements had certain parts of models’ bodies blocked off with a box that said “more than shoes. The campaign received criticism from several groups because of
  • 58. their “sexual nature.” However, the catch with these ads was that the subjects of the ads were not actually nude; they wore bathing suits or small shorts that were later covered by the box. Because of the negative attention, Zappos pulled the ads and released an apology that explained the pro- duction process. Technical Difficulties Also in 2011 Zappos experienced some technical difficulties that resulted in delays and problems in customers’ orders and shipments. Zappos upgraded one of its processing sys- tems, and in the process many orders were deleted or delayed. Some orders had the incor- rect shipping information, and products were shipped to the wrong location. Although this upset several customers, Zappos handled the problems and reassured customers that it would get them their merchandise as soon as possible. The company also offered different perks, depending on the circumstances of each customer experience. Another problem Zappos encountered was that every item from 6pm.com, one of its websites, was priced at $49.95 for six hours in 2010. The company shut down the website for a few hours to solve the problem. Zappos honored all the orders from the pricing mis- take, which resulted in a $1.6 million loss. Theft of Customer Information In 2012 hackers broke into Zappos’s computer system, and the company had to respond to the theft of 24 million customers’ critical personal information. The stolen data included customers’ names, email addresses, shipping and billing addresses, phone numbers, and the last four digits of their credit cards. Zappos immediately addressed the situation by sending an email to customers notifying them of the security breach. Zappos assured cus- tomers the servers containing their full credit card information were not hacked. Its next move was to disconnect its call center, reasoning that the expected amount of calls would overload the system. While Zappos has a reputation for delivering customer service
  • 59. that is unmatched by any competitor, some customers were unhappy with how Zappos handled the hack- ing. Many customers were upset by their information being hacked, but the situation was made worse by the company’s action of disconnecting its call center. Although this situa- tion caused problems for Zappos and blemished its customer service record, the company has worked to restore its reputation. THE FUTURE OF ZAPPOS Zappos remains committed to serving its customers and employees. So far, the company has retained its unique culture and continues to expand into new product categories. In one interview, Hsieh talked about the growth of Zappos and how he believes expanding into the clothing and merchandise market will help the company to grow. Hsieh says “the sky is the limit” for Zappos, and growing and expanding into many different types of busi- nesses is Zappos’s future. Hsieh continues to look for talented and creative individuals. He has pledged $1 million in partnership with Venture for America to bring at least 100 graduates to the Las Vegas area over a five-year period. As Zappos expands, it will have to work harder to hire the right people, avoid ethical issues, and maintain its quirky culture. The company’s new organizational structure and compensation system for its call-center employees are major steps to expand without compromising Zappos’s unique culture. Although many employees ended up leaving the company, Zappos believes these moves are the right ones to make and will enable the firm to continue growing both in employees and productivity. Ethical leadership is a key factor in the success of any company, and for Zappos having Tony Hsieh as a leader is a strong indicator for future success. Hsieh expressed that he will do whatever it takes to make his employees, customers, and vendors happy. The future for any company looks bright when its leadership is committed to such strong values. How - ever, Zappos needs to make sure it continues to focus on its stakeholders and its long-term vision with or without Hsieh.
  • 60. Ultimately, Zappos intends to continue to deliver happiness to its stakeholders. Hsieh says, “At Zappos, our higher purpose is delivering happiness. Whether it’s the happiness our customers receive when they get a new pair of shoes or the perfect piece of clothing, or the happiness they get when dealing with a friendly customer rep over the phone, or the happiness our employees feel about being a part of a culture that celebrates their individu- ality, these are all ways we bring happiness to people’s lives.”