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Ethnic counts on mortality and census data
2001–06: New Zealand Census-Mortality Study update
Lavinia Tan, Tony Blakely, June Atkinson
The New Zealand Census-Mortality Study (NZCMS) has
previously shown that Māori and Pacific deaths were significantly
undercounted on mortality data relative to census data prior to 1995, and
relatedly, non-Māori non-Pacific deaths overcounted on mortality data. In
1995, the ethnicity question on the death registration form was altered from the
biological definition of race (blood more than half) to a more self-defined
question resembling that on the 1996 census.
Thus, although historic mortality trends prior to 1995
required recalculation due to the considerable bias in ethnicity group counts,
more recent NZCMS data has shown increasing agreement between census and
2001–04 mortality ethnic counts,1 at
least for the concept of “total ethnicity”. This paper provides an
update for the 2001 census linked to 2004–06 deaths, assessing any
existing discrepancies between mortality and census data for ethnicity
counts.
The main objectives of this paper are to examine any
existing discrepancies in ethnicity counts for mortality (2004–06 and, by
way of comparison, 2001–04) and 2001 census data, and how these differ
depending on the ethnicity definition used. This paper provides an update for a
series of publications focused on the numerator-denominator bias and changes in
this bias over time.
MethodsThe methodology used in this paper, using on linked
census and mortality data, has been described previously in technical reports
and papers.2–7 For the update 6 March
2004 to 5 March 2006 period, 79.8% of eligible mortality records were
anonymously and probabilistically linked to census records. A subset of these
records with highly probable links (HPL,76.1% of 2004–06 eligible
mortality records), where ethnicity had no effect on linkage probability, was
used in analyses to assess any discrepancy in ethnicity counts on the mortality
and census data.
The number of deaths in the HPL dataset was weighted up
so that it was representative of all 2004–06 eligible mortality
records.7 Weights were calculated based on
variables that were predictors of HPL in logistic regression analyses: Age at
census, sex, prioritised ethnicity, rurality, residential mobility of area unit,
NZ deprivation index, Regional Health Authority, and cause of death. Cells
within a stratum that met the numerical criterion of >3 linked records, were
separated and assigned an independent weight, whereas the remaining cells were
collapsed. The order of collapsing of strata variables to ensure sufficient cell
sizes was based on the strength of their relationship with HPL.
Counts of ethnic groupings for census and mortality
data were compared using weighted cross-classifications of the HPL dataset.
Tabular count output is random rounded to a near multiple of three as per
Statistics New Zealand protocol, but the census-mortality ratios were calculated
on unrounded data.
Ethnicity definitions
Three ethnicity definitions were used to assess any
discrepancies in ethnic counts between the census and mortality data:
ResultsTable 1 shows the weighted ethnicity counts for census and
death registration form data, as well as the census to mortality ratios for the
2001–2004 and 2004–2006 cohorts for all three ethnicity definitions.
There is generally close agreement between the census and mortality data for
both cohorts in both the 2001–04 and 2004–06 data. There does appear
to be some overcounting of the Māori ethnicities in mortality data relative
to census data when using the sole ethnicity definition. This is due to fewer
mortality records being assigned multiple ethnicity groups relative to the
census data, resulting in greater sole Māori counts on the mortality data.
Table 1. Census and death registration form
(mortality) ethnicity totals and ratios in 2001–2004 (n = 82,404 deaths),
2004–2006 (n =53,445 deaths) for total, prioritised and sole ethnicity
definition
Counts have been weighted and
random rounded to a multiple of three as per Statistics New Zealand protocol.
Note that the sum of observations for Prioritised and Sole ethnicities is equal
to the total number of records, but the sum of observations for Total ethnicity
is larger than this.
† The 2001–04
counts and ratios are sourced from Tables 10–13 of Fawcett et al.
(2008)
‡ The ‘total
nMnPnA’ group was defined those people with one or more self-(undertaker-)
defined ethnic groups, of which one was nMnPnA. The ‘prioritized
nMnPnA’ is best thought of those remaining after all census respondents or
decedents with any one of Māori, Pacific or Asian ethnicity have been
‘prioritised out’. This is equivalent to the ‘sole
nMnPnA’ group.
# The ‘Remainder’
group in sole ethnicity includes any people who reported nMnPnA ethnic group
(i.e. the ‘total nMnPnA’ group) plus some extra decedents
or census respondents who were recorded as, say, both Māori and Pacific and
therefore not eligible to be either ‘sole Māori’ or ‘sole
Pacific’.
The counts for total ethnicity in 2001–04 and
2004–06, stratified by sex, age, regional health authority and NZ
Deprivation Index are shown in Table 2. The counts for census and mortality data
are largely congruent, and similar between the two cohorts The notable exception
is the undercounting of total ethnicity in the mortality data for younger age
groups (<25 years) for all ethnic groups, but especially for Pacific and
Asian ethnicities. This is because multiple ethnicities are much more commonly
identified on the census data than mortality data. Also note that the
2004–06 cohort counts are fewer and consequently less stable than the
counts for the 2001–04 cohort.
Table 2. Census and death registration form
Total ethnicity counts and ratios by sex, age, RHA and NZ Deprivation in
2001–04 (n=82,404), 2004–06 (n= 53,445)
All counts are weighted, and then random rounded to a
multiple of three as per Statistics New Zealand protocol. Minimum cell size is
6.
Full cross-classifications of census and mortality
2004–2006 data for prioritised and sole ethnicity definitions are shown in
Table 3 and 4. These show the specific mismatches in ethnicity counts between
the census and mortality files. The majority of misclassifications were between
Māori and nonMPA groups. Using a sole definition of ethnicity, the number
of Māori deaths according to mortality data exceeds census data (i.e.
census-mortality ratio <1.0), due to multiple self-identified ethnicities
being more common on census data, this causes sole Māori counts to be lower
on census than mortality data.
Table 3. Census by mortality counts for
prioritised ethnicity by sex, 2004–06
All counts are weighted, and then random rounded to a
multiple of three as per Statistics New Zealand protocol. Minimum cell size is
6.
Table 4. Census by mortality counts for sole
ethnicity by sex, 2004–06
All counts are weighted, and then random rounded to a
multiple of three as per Statistics New Zealand protocol. Minimum cell size is
6.
DiscussionUsing a total definition of ethnicity, census and mortality
counts agree reasonably well in 2004–06 and were similar to 2001–04,
except at younger ages where mortality data counts for Pacific and Asian are up
to a third (1–1.5) less for mortality data – although numbers are
sparse and hence estimates unstable. Due to multiple ethnicities being more
commonly recorded on census data, prioritised and sole comparisons differ;
Māori sole counts are greater on mortality than census data.
The current analyses necessarily used only a subgroup of the
total mortality records (the highly probable links, HPL) to estimate numerator
denominator bias. By weighting up these HPL links to be representative of all
mortality records, we are assuming that within strata of that weighting (i.e.
sex by age by prioritised ethnicity (mortality data), rurality, residential
mobility of area unit, NZ deprivation index, region, and cause of death) that
the (dis)agreement of mortality and census data ethnicity is the same among the
HPL dataset as the non-HPL dataset. Unfortunately, we cannot prove this
assumption. However, we are reasonably confident that within all
cross-classifications of these strata that we essentially adjust for any
selection bias that may arise in using the subsidiary HPL data-set.
The use of a total definition of ethnicity appears to be the
most accurate and consequently if this definition is used for the calculation of
ethnic mortality rates, there should be little to no numerator-denominator bias.
As with our last update, these results again provide support to the sector for
ongoing attempts to ensure health data uses an ethnicity question as close in
wording and layout to the census question as possible.
Competing interests: None known.
Author information: Lavinia Tan,
Research Fellow; Tony Blakely, Research Professor; June Atkinson, Data
Manager/Senior Data Analyst; Department of Public Health, Wellington School of
Medicine and Health Sciences, University of Otago, Wellington
Acknowledgments: The NZCMS is conducted in
collaboration with Statistics New Zealand and within the confines of the
Statistics Act 1975. The NZCMS was funded by the Health Research Council of New
Zealand, and is now funded by the Ministry of Health.
Access to the data used in this study was provided by
Statistics New Zealand under conditions designed to give effect to the security
and confidentiality provisions of the Statistics Act 1975. The results presented
in this study are the work of the authors, not Statistics New Zealand.
Correspondence:
Tony Blakely, Department of Public Health, Wellington School of
Medicine and Health Sciences, Health Inequalities Research Programme, University
of Otago, Wellington, PO Box 7343, Wellington, New Zealand. Fax: +64 (0)4
3895319; email: tony.blakely@otago.ac.nz
References:
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