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Decades of disparity: widening ethnic mortality gaps from
1980 to 1999
Tony Blakely, Shilpi Ajwani, Bridget Robson, Martin Tobias,
Martin Bonné
This paper presents Maori, Pacific, and non-Maori
non-Pacific mortality rate trends during the 1980s and 1990s. The results
presented in this paper, for the first time, correct for ‘undercounting of
Maori and Pacific deaths’ and ‘modest overcounting of non-Maori
non-Pacific deaths’ that occurred during that period. This so-called
numerator-denominator bias for ethnicity recording between census and mortality
data has been known about for some
time.1–4 However, it is only with the
recent record linkage of census and mortality data in the New Zealand
Census-Mortality Study (NZCMS)5,6 that we can
now accurately determine ethnic mortality trends.
The New Zealand Census Mortality Study (NZCMS) anonymously
and probabilistically links census and mortality data. This linkage allowed a
direct comparison of the self-identified ethnicity of an individual at the
previous census and the ethnicity on the death registration form. Consequently,
it was possible to ‘unlock’ the numerator-denominator bias and
calculate age-specific adjustment ratios (adjusters) to correct the discrepancy
in the ‘numerator’.
The results in this paper are the culmination of a
substantial body of work that has been published previously in this
journal7–9 and in reports published
elsewhere.10–12
Accurate ethnic mortality trend data is essential for the
Government to monitor trends on population health outcomes. Socioeconomic and
ethnic inequalities in mortality represent a category of health outcome of
particular concern.13 It is of particular
interest to monitor what happened to ethnic mortality trends during the 1980 to
1999 period, a period of major structural change in the New Zealand economy and
society overall.
MethodsMortality
data—Mortality data was provided by the New Zealand Health
Information Services (NZHIS) for the years 1980–1999 (by year of
registration of death). Years were grouped into four periods: 1980–84,
1985–89, 1990–1995, and 1996–99. Note that the third period is
of 6 years’ duration, and the fourth period of four years’ duration.
This variation was due to a major change in the collection of mortality data
ethnicity in late 1995. Up until then, only Maori or Pacific ethnicity was
allowed on mortality data, and all remaining deaths (without the Maori or
Pacific options identified) were assigned as non-Maori non-Pacific. During the
late 1990s, the ethnicity question was changed to be consistent with the 1996
census, and was made compulsory.
Census
data—For each of the four above periods, 1981, 1986, 1991, and 1996
census data (by strata of sex, age, and ethnicity) was used as denominator data
in the calculation of mortality rates. This paper predominantly reports the
prioritised ethnic series whereby ethnicity was assigned as Maori if one of the
three possible self-identified ethnicity responses on the 1986 or the 1991 or
the 1996 census was Maori.
Therefore, for Maori, the prioritised ethnic group
represents the total Maori Ethnic Group (MEG). For those not allocated as Maori,
the prioritised ethnic group was assigned as Pacific if one of the
self-identified ethnic groups was Pacific. The remaining records were assigned
as non-Maori non-Pacific. The 1981 census collected degree of ethnic origin. To
form a prioritised series for the 1981 census, we assigned as Maori those who
recorded any degree of Maori ethnic origin. Of the remainder, those who recorded
any degree of Pacific ethnic origin were categorised as Pacific. Although the
definition is not identical to the 1986 and 1991 censuses, it is similar enough
to form a time series.
We also determined mortality rates for a sole
series—although not the major focus of this paper. Here, census
respondents were assigned as sole Maori or sole Pacific if only one ethnicity
was identified.
Calculating adjustment
ratios for numerator-denominator bias—The quantification of
numerator-denominator bias, and consequent adjustment ratios, have been
presented in detail elsewhere.9,11,12 Briefly,
we cross-classified census prioritised ethnicity counts by mortality data
ethnicity counts (prioritised for 1996–99; the single [and only] option
for three earlier periods) for decedents aged 1–74 years in each 3-year
period after the censuses during the 1980s and 1990s. (The NZCMS is not
well-suited for calculating ratios for infant deaths and deaths aged 75 years
and older.)
From these cross-classifications, we calculated census
to mortality ratios (adjusters) for Maori, Pacific, and non-Maori non-Pacific.
There was marked variation in these ratios by age, with greater bias in younger
age groups. Therefore, age-specific adjusters were used to recalculate mortality
rates. A ratio greater than 1.0 for Maori, for example, corresponds to more
Maori being on census data compared to mortality data (ie, mortality data
undercounting Maori relative to census data).
Finally, we smoothed the observed ratios across 5-year
age categories for analyses in this paper (see pages 59–61 and Table 2 of
reference 12 for details on smoothing and actual ratios used).
Calculating
age-standardised mortality rates—The observed number of deaths in
each sex by age by ethnicity (by cause of death) strata (according to NZHIS
data) was multiplied by the above adjustment ratios. These corrected mortality
counts and the census (prioritised) counts were then used to calculate direct
age-standardised mortality rates (and 95% confidence
intervals)14 using the WHO standard population.
ResultsFigure 1 shows the age-standardised
1-74 year old mortality rates for the prioritised ethnic series—both
unadjusted and adjusted for numerator-denominator. Without using adjustment
ratios, Pacific mortality rates up to the mid-1990s appear to be lower than both
Maori and non-Maori non-Pacific mortality, and there appears to be little
difference between Maori and non-Maori non-Pacific mortality.
In the late 1990s, due to much-improved recording of
ethnicity on mortality data, the unadjusted mortality rates jump markedly for
Maori and Pacific. This unadjusted pattern is clearly spurious. Had we used sole
census data for denominators in the first three periods, the unadjusted Maori
and Pacific mortality rates would have been somewhat higher—but still
underestimated.
Figure 1b and Figure 1d show the male and female corrected
age-standardised mortality rates (actual rates are in Table 1). First, among
non-Maori non-Pacific, there has been a 30% and 26% reduction in mortality rates
over the 20-year period for males and females, respectively. In contrast, there
was only a modest decrease in Maori mortality rates (8% for males and 7% for
females), and no obvious change in Pacific mortality rates. Second, these
divergent mortality trends by ethnicity meant that the gaps between Maori and
non-Maori non-Pacific, and between Pacific and non-Maori non-Pacific, widened
over the 1980s and 1990s.
The rate ratio comparing Maori to non-Maori non-Pacific
increased from 1.48 in 1980–84 to 1.96 in 1996–99 for males, and
from 1.74 to 2.20 for females. The rate ratio comparing Pacific to non-Maori
non-Pacific increased from 1.38 in 1980–84 to 1.79 in 1996–99 for
males and from 1.22 to 1.71 for females. Third, and not shown in Figure 1 and
Table 1, Maori and Pacific mortality rates using a sole definition of ethnicity
tended to be higher again. Additionally, whereas the prioritised series shown in
Figure 1 may be consistent with a small decrease in Maori mortality rates from
1980–84 to 1996–99, the sole series demonstrated no change. (Full
information on the sole series is presented
elsewhere.12)
The above patterns of strong improvements in non-Maori
non-Pacific mortality rates, and little (if any) improvement in Maori and
Pacific mortality rates were similar across age groups—except, perhaps,
among Pacific children (1–14 year olds) and youth (15–24 year olds),
and Maori 25–44 year olds where reductions have occurred (Figure 2 and
Table 1).
Nevertheless, the mortality gaps between Maori and non-Maori
non-Pacific among 25–44, 45–64 and 65–74 year olds were large
(especially the 45–64 year olds) and widening over time.
To view
all Tables and Figures refer to the PDF version of this paper
The mortality trends varied markedly by cause of death as
shown in Figure 3, Figure 4, and Figure 5 for the prioritised series (data in
Table 2). (Patterns were similar using the sole series.) There was a strong
pattern of diverging Maori and non-Maori non-Pacific lung cancer mortality
rates, such that (by 1996–99) the relative risks were 3.50 (males) and
4.91 (females). Pacific lung cancer rates were similar to those for non-Maori
non-Pacific females, but intermediate for males. Prostate cancer mortality rates
increased over time among Maori, while remaining essentially stable among
non-Maori non-Pacific.
By 1996–99 non-Maori non-Pacific prostate cancer rates
were half those of Maori. Pacific prostate cancer rates appeared to decrease
over time. Breast cancer mortality rates increased among both Maori and Pacific
females, compared to decreases among non-Maori non-Pacific females. By
1996–99, non-Maori non-Pacific breast cancer mortality rates were 60% of
those for Maori.
Pacific breast cancer mortality rates appear to have become
the highest of all three ethnic groups in the 20-year period (although 95%
confidence intervals include the Maori female rate). At the beginning of the
20-year period, Pacific breast cancer mortality rates were clearly the lowest of
the three ethnic groups. In the early 1980s, Maori had colorectal cancer
mortality rates one-third (females) to two-thirds (males) of those for non-Maori
non-Pacific people.
In contrast to increasing rates among Maori, minor decreases
in age-standardised mortality rates among non-Maori non-Pacific people over the
last 20 years, have resulted in similar colorectal cancer mortality rates by the
late 1990s. While rates are imprecise for Pacific people, it appears that there
has been an even more substantial increase in colorectal cancer mortality among
this group. At the end of the 20-year period, all three ethnic groups have
roughly comparable colorectal cancer rates.
Ischaemic heart disease mortality rates tended to decrease
over time for all ethnic groups and both sexes—although not much for Maori
and Pacific males, thus resulting in widening gaps. Stroke mortality rates were
clearly highest for Pacific people among males and (possibly) females. All
ethnic groups had decreasing stroke mortality rates over time. Respiratory
disease mortality decreased for all three ethnic groups. However, there were
always large excesses of Maori male and female respiratory mortality compared to
non-Maori non-Pacific people, and likewise for Pacific males (Figure
4).
Unintentional injury mortality rates decreased over time for
all ethnic groups and both sexes. This pattern was similar for road traffic
crashes—a major contributor to unintentional injuries (not shown here).
Suicide rates increased most notably among both Maori males and females over the
1980s and 1990s. Increasing suicide mortality for Pacific and non-Maori
non-Pacific males was also evident—but the increases were not as marked as
for Maori (Figure 5).
DiscussionThis paper presents mortality rates
by ethnicity for the 1980s and 1990s. Most importantly, the underlying mortality
data have been corrected for numerator–denominator bias for the first time
in New Zealand. There are clear and concerning patterns.
Most notably, there has been little (if any) decline in
Maori and Pacific mortality rates over these two decades (1980s and 1990s)
despite a steady decline in non-Maori non-Pacific mortality. As a consequence of
this divergent pattern by ethnicity in mortality trends, the inequalities
between Maori and Pacific and non-Maori non-Pacific mortality have markedly
increased over the last two decades.
By cause of death, decreasing mortality rates (for
cardiovascular disease, respiratory disease, and unintentional injury) among
Maori and Pacific people have been off-set by increasing cancer (both lung
cancer and non-tobacco related cancers) and suicide mortality rates. Further,
even for those diseases with decreasing rates over time among all ethnic groups
(eg, ischaemic heart disease), the relative inequalities between ethnic groups
have tended to increase over time.
Whilst these results are more accurate than previous
official mortality statistics by ethnicity for the 1980s and 1990s, there are
still two important limitations. First, our adjustment for
numerator–denominator bias is unlikely to be exactly correct. We were only
able to use approximately two-thirds of the eligible mortality records to
calculate the adjustment factors. However, extensive sensitivity analyses lead
us to conclude that the results are
accurate.7,11 Second, the best we could do was
to adjust ethnicity recording on mortality data to the self-identified ethnicity
on the corresponding census.
The concept and recording of census ethnicity has varied for
each of the 1981, 1986, 1991, and 1996 censuses. This instability of ethnic
classifications is a major problem for the 1991 to 1996 census comparisons for
Maori. That said, any change in the ethnic group composition over time is at the
margin and will not alter the major finding of diverging ethnic mortality
trends.
Why are we observing these diverging ethnic mortality
trends? We believe this question requires attention from a range of researchers
and analysts. For the purposes of this paper, we will outline three (not
mutually exclusive) types of explanation: epidemiological, structural, and
health services.
Epidemiologically, these patterns appear most consistent
with period effects rather than age or cohort effects. The colorectal cancer
trends among Pacific people are particularly notable, and presumably reflect the
lag-time from exposure to Western lifestyles commencing in the late 1950s and
1960s following migration to New Zealand.
Lung cancer rates increased among both Maori and Pacific
people (particularly females) during the 1980s and 1990s (in contrast to
decreases among non-Maori non-Pacific males and a possible peaking of mortality
in the early 1990s for non-Maori non-Pacific females). As the cause of death
most strongly associated with tobacco, these mortality trends obviously reflect
tobacco consumption trends by ethnicity that occurred a decade or so prior to
the death event.
Regarding cancer generally, incidence rates overall are
somewhat similar between ethnic groups for non-lung
cancer,15 yet there are marked mortality
differences. Development of cancer control strategies in New
Zealand16 must address the contribution of
cancer to increasing ethnic mortality gaps. Projecting out 5 to 10 years based
on the cardiovascular mortality trends in this paper, premature heart disease
death is going to be uncommon among non-Maori non-Pacific. Consequently, health
promotion programmes and treatment services to reduce heart disease need to
increasingly focus on addressing Maori and Pacific populations.
Much of the disparities in mortality between ethnic groups
are likely to be due to parallel disparities in classic risk factors for poor
health such as tobacco. However, there is wide acceptance that socioeconomic
factors are underlying determinants of
health,13,17–20 either by the way
socioeconomic position determines risk factor exposures or by other mechanisms
such as health services access.
Access to income, education, and other resources influences
one’s health by a myriad of pathways including behaviour, health services,
and psychosocial mechanisms. Between 1980 and 1999, New Zealand underwent major
social and economic changes including a substantially flattened tax system;
fully targeted income support; a regressive consumption tax (GST); market
rentals for housing; privatised major utilities; user-charges for health,
education, and other government services; and a restructured labour market
designed to facilitate
‘flexibility’.21–24
These social and macroeconomic changes did not impact
equally on Maori and non-Maori. Indeed, inequalities between Maori and non-Maori
widened in employment status, education, income, and housing—key social
determinants of health.13
Specifically, unemployment rates for Maori rose from levels
similar to non-Maori in the early 1980s to three times that of non-Maori in the
late 1980s. Furthermore, real incomes of Maori households dropped during this
period and did not recover to the level they were at in the early
1980s.24–26
The stasis in Maori mortality rates presented in this paper
for the 1980s and 1990s was preceded by marked improvements in life expectancy
in the 1950s to 1970s.12,27 Major structural
change in the New Zealand economy and society, therefore, seemed to coincide
with no further improvement in Maori health.
We do not contend that structural change is the full or only
explanation for diverging ethnic mortality trends during the 1980s and 1990s.
For example, many chronic diseases take years or decades to manifest, meaning
that deaths during the 1980s and 1990s would have causal antecedents both during
this period and prior. However, it is also very clear from ex-Soviet countries
that sudden increases in mortality can rapidly follow social upheaval and
change.28,29
Therefore, we argue that structural change in New Zealand
was a major contributor to the diverging ethnic mortality trends reported in
this paper. Indeed, a prediction by Maori leaders at Hui Taumata in 1984 that
the structural reform policies would make Maori the ‘shock absorbers in
the economy’ seems to have materialised in health (and other social)
statistics.
Health services are not responsible for all, or even the
majority, of socioeconomic and ethnic inequalities in
health;30 however, they undoubtedly play a
role. For example, US research found that co-payments discouraged visits for
low-income people, irrespective of how medically necessary the visit was thought
to be (including visits for preventive care).31
There is evidence that cost barriers are also an issue in New Zealand. An iwi
general practice in Taranaki found the introduction of an $8.00 part charge for
community cardholders led to a dramatic decrease in attendance (30%) among a
group with extremely high health needs, and the co-payment was subsequently
dropped.32
Recent surveys in New Zealand have found that adults with
below-average income were more likely to report having gone without needed care
because of the cost.33,34 The Commonwealth Fund
2001 Survey also found that Maori adults were twice as likely as Pakeha to have
gone without needed care in the past year because of the cost—partly
reflecting income differences. However, even when controlling for income, access
concerns were significantly higher for Maori.33
A significant body of research examining ethnic health
disparities in the United States has found that white Americans receive a higher
quality of health services, and are more likely to receive even routine medical
procedures than other ethnic groups. These differences were found to be
associated with greater mortality among African-American
patients.35
The ratio of Maori to non-Maori mortality for all adult
cancer is higher than the same ratio for disease
incidence.15 This pattern is indicative of
higher case fatality rates among Maori compared to non-Maori once they have
cancer, suggesting an important role for health services to reduce ethnic
inequalities. Despite higher mortality from cardiovascular disease, there is
evidence that Maori and Pacific people receive fewer cardiac interventions than
would be expected.36 Westbrooke et al (2001)
found that these differences remained even after controlling for sex, age, and
deprivation (NZDep96).37
Where to from here? There is clearly a need for further
investigation, analysis, and understanding of the concerning trends in
inequality shown in this paper. For example, the contribution of trends in a
range of socioeconomic factors to trends in mortality by ethnicity needs more
thorough analysis than that offered by considering just one socioeconomic factor
or one point in time.8,38 Likewise, the
contribution of health services and epidemiological risk factors needs further
investigation. Such improved understanding should then translate into action to
reduce ethnic inequalities in health.
Statistics New Zealand security statementThe New Zealand Census Mortality
Study (NZCMS) is a study of the relationship between socioeconomic factors and
mortality in New Zealand, based on the integration of anonymised population
census data from Statistics New Zealand and mortality data from the New Zealand
Health Information Service. The project was approved by Statistics New Zealand
as a Data Laboratory project under the Microdata Access Protocols in 1997. The
data sets created by the integration process are covered by the Statistics Act
and can be used for statistical purposes only. Only approved researchers who
have signed Statistics New Zealand's declaration of secrecy can access the
integrated data in the Data Laboratory. (A full security statement is in a
technical report at http://www.wnmeds.ac.nz/nzcms-info.htm)
For further information about confidentiality matters in regard to this study,
please contact Statistics New Zealand.
Author information:
Tony Blakely, Senior Research Fellow; Shilpi Ajwani, Research Fellow; Bridget
Robson, Research Fellow (Te Ropu Rangahau Hauora a Eru Pomare), Department of
Public Health, Wellington School of Medicine and Health Sciences, University of
Otago, Wellington; Martin Tobias, Public Health Physician; Martin Bonné,
Advisor; Ministry of Health, Wellington
Acknowledgements:
The NZCMS is conducted in collaboration with Statistics New Zealand and within
the confines of the Statistics Act 1975. We wish to thank the many staff members
at Statistics New Zealand that have facilitated the work presented in this
paper. The NZCMS is funded by the Health Research Council of New Zealand, with
co-funding from the Ministry of Health. The findings and interpretations
presented in this paper have been shaped by wide consultation with Pacific and
Maori people and other colleagues—we thank them all for their
contribution.
We also thank the many researchers and analysts who have
commented on the work presented in this paper—including Cindy Kiro,
Papaarangi Reid, and Andrew Sporle; many staff members of Te Kete Hauora and the
Ministry of Health; staff of the Ministry of Social Development; and colleagues
at the Wellington School of Medicine and Health Sciences.
This paper is published with permission of the
Director-General of Health; however, views expressed are those of the authors
and do not necessarily reflect those of the Ministry of Health.
Correspondence: Tony
Blakely, Department of Public Health, Wellington School of Medicine and Health
Sciences, University of Otago, PO Box 7343, Wellington. Fax: (04) 389 5319;
email: tblakely@wnmeds.ac.nz
References:
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