The Canadian Index of Wellbeing: key findings from the healthy populations domain.
Muhajarine, Nazeem ; Labonte, Ronald ; Winquist, Brandace D. 等
The Gross Domestic Product (GDP) of a country is a high-profile and
often tracked measure that has emerged by default as a surrogate for
wellbeing. (1) However, as the recent Commission on the Measurement of
Economic Performance and Social Progress noted, "it has long been
clear that GDP is an inadequate metric to gauge well-being over time
particularly in its economic, environmental, and social
dimensions." (2), (p.8) Reliance upon the GDP points to the need
for a robust set of indicators able to measure other important
dimensions of Canadians' social, economic and cultural lives. While
measurement activity and indicator reporting are now commonplace across
all sectors, Canada lacks a single, highly visible national instrument
that monitors and publicly reports on improvements or setbacks to our
collective wellbeing and its important influences. A well-designed,
easily understandable, and technically sound tool that captures all of
the factors contributing to our wellbeing would offer important
information for all Canadians, and be useful as a guide to public policy
discourse and decision-making.
The Canadian Index of Wellbeing (CIW), the result of almost eight
years of preparatory work, has emerged as a tool for this purpose.
Bringing together a diversity of indicators across eight principal
domains--Arts, Culture and Recreation; Civic Engagement; Community
Vitality; Education; Environment; Healthy Populations; Living Standards;
and Time Use--a primary aim of the CIW is to monitor trends within each
domain and to emphasize interconnections between them. Healthy
Populations is the CIW domain that measures health outcomes and other
risk (or protective) factors. This article describes the Healthy
Populations framework, indicator selection process, and data sources,
and a few of the key findings from the domain report.
METHODS
Healthy Populations Framework
Composed of ten "core" and six "secondary"
health indicators, the CIW Healthy Populations framework covers eight
subdomains (see Figure 1). Subdomains identify core aspects of health
status (physical, functional, emotional, and psychological) and proximal
health determinants such as lifestyle and behaviour, and health care.
Since our framework is part of the larger CIW set, it does not
incorporate important social determinants of health which are the foci
of other CIW domains. Some key determinants of health that relate to
equity (e.g., income, education, place and ethnocultural status) and the
essential biological factors (notably age and sex) are considered in the
Healthy Populations indicator analysis. Each subdomain is measured by at
least one core indicator, and several are measured by additional
secondary indicators. Age and sex differences as well as national and
provincial/territorial trends are reviewed for each indicator in the
full report. All core indicators were stratified by income and education
to describe differences in health indicators and to identify instances
of health inequity. In this paper we report the selected findings, or
the "core story", of the CIW Healthy Populations domain.
[FIGURE 1 OMITTED]
Indicator selection
Indicators were selected based on the following criteria developed
in this project. These criteria were set following extensive discussions
at the CIW National Working Group and are consistent with the
literature. (3,4)
* Quality of data: indicators are clearly defined, measurable,
transparent and verifiable.
* Adequacy of data: indicators support benchmarking and monitoring
over time; that is, longitudinal or repeated data are available for at
least three points in time, allowing trend analyses.
* Relevance of data: indicators are commonly used, understandable,
credible, meaningful, and policy relevant (that is, can change as a
result of policy interventions).
* Variety of data: indicators capture both subjective and objective
aspects of health outcomes, and represent both positive (desired) and
negative (undesired) outcomes.
* Spatial sensitivity of data: indicators are available at
national, provincial and municipal or lower levels of aggregation,
allowing comparisons by geographic scale.
* Socio-demographic sensitivity of data: indicators allow for
analyses by socio-economic and demographic differences; that is, data
can be stratified by important socio-economic and demographic variables
(sex, age group, income, cultural identity, geographic place).
Based on these criteria and a review of the international
literature for comparable national indicator projects, the authors first
compiled a comprehensive list of candidate indicators. A number of
external experts, within Canada and internationally, were then consulted
in a validation process, which involved experts indicating their
recommendations and reasons for retaining or dropping a variable. The
selection of the final "core" and "secondary"
indicators for each subdomain rested with the authors of the domain with
input from the National Working Group.
As a form of additional face validation, our final indicator
selection was "mapped" against the Health Indicators Framework
(HIF) used by Statistics Canada and the Canadian Institute for Health
Information. (5) Our indicators overlap fully with the "health
status" category and partially with other categories of the HIF,
which include categories relevant to other CIW domains and so are not
part of the Healthy Populations Domain. The HIF is one of the standard
frameworks used by health ministries in determining their indicator use
for a variety of purposes; and the independent coherence and
comparability of the Healthy Populations Domain with existing health
categories of public policy and data-gathering frameworks such as HIF
suggests the relevance of the Domain's indicators within the larger
CIW project.
Data sources
For the selected indicators, data were primarily obtained from
Statistics Canada's data products, and included the Canadian
Community Health Survey (CCHS) (cycles 1.1, 2.1, 3.1, 4.1) and the
National Population Health Survey (1994, 1996, and 1998), the CCHS
Mental Health and Wellbeing (cycle 1.2), CCHS Health Services Access
Survey, Canadian Vital Statistics Database, and the Canadian Institute
for Health Information, Hospital Morbidity Database.
[FIGURE 2 OMITTED]
Deriving a summary measure: Healthy Population Index
From the outset, following extensive discussions at the CIW
National Working Group, it was decided that each CIW domain will have a
summary measure and that this will be derived from a smaller subset of
indicators within each domain. Each indicator was reviewed by members of
the CIW National Working Group and voted on using a five-point rating
(5=very important to 1=not at all important to the composite CIW).
Voting was done individually, then again following group discussion.
From this process, eight indicators ("headliners") were
included in the calculation of the Healthy Population Index: percent
rating their own health as excellent or very good, percent with
diabetes, life expectancy at birth, percent daily or occasional smokers
among adolescents (aged 12-19), percent with probable depression,
percent rating health services overall as excellent or good, percent who
had received immunization for influenza (age 65+) and average
Health-Adjusted Life Expectancy (HALE) for those [greater than or equal
to]15 years (percent of remaining years expected to be lived in good
health).
All indicators were deemed equally important, therefore treated
equally (not weighted) in the index (see Michalos et al. for in-depth
discussion (4)). The headliner indicators included four negative
indicators (i.e., increases in numerical values indicate decreases in
some aspect of wellbeing) and four positive indicators (i.e., increases
in numerical values indicate increases in some aspect of wellbeing). The
calculation of index scores are described in detail elsewhere (see
reference 4). Briefly, the principle for calculating an index score
involved taking the first value for each indicator (1994 in our case, or
baseline) and fixing it as a base of 100, and taking each value for
subsequent years as a percentage change of this base value, and then
taking the mean across all eight headliner indicators. The positive
indicators were converted into a value of percent change by dividing
every data value within an indicator by its first value and multiplying
the result by 100. In order to standardize the index values so that
increases and decreases in figures uniformly represent improvement or
deterioration, respectively, the values of negative indicators were
transformed into their reciprocals and the latter were turned into
percentage change, similar to the manoeuvre for the positive indicators.
[FIGURE 3 OMITTED]
FINDINGS
A summary of the key findings is presented below; for a more
detailed discussion, please refer to the full report. (6)
Canadians live longer, but not necessarily healthier, lives
The relatively high standard of living enjoyed by Canadians is
matched by life expectancy rates that are among the best in the world. A
closer look at health indicators, however, reveals a more mixed picture.
Although Canadians are living longer, these additional gains in years of
life are not necessarily lived in the fullest health possible. When
taking into account functional limitations brought on by disease and
disability, the number of years lived in full health for Canadian women
is not substantially different in 2005 compared to in 1991 (data not
shown); Canadian men, however, made slightly more gains during this
period. As has been the case historically, women are still outliving
men, but the gap is shrinking. A rich-poor gap in Canadian life
expectancy was observed and can largely be explained by higher rates of
death in childhood through to middle age, not in old age. Such
preventable deaths early in life also negatively impact Aboriginal life
expectancy, which continues to lag behind that of non-Aboriginal
Canadians (data not shown).
For more than a decade, a majority of Canadians have declared that
their overall health is very good or excellent (Figure 2). However, the
proportion of Canadians who considered themselves as having optimal
health peaked in 1998/99 at 65.2% and decreased dramatically in 2003 to
58.4%. Self-rated health began to rebound in 2005, but is still
considerably lower than it was 10 years previously.
The decline in those who report their health in superlative terms
needs some further explanation. Given the consistency of findings
between this subjective measure and the objective and derived HALE
measure, it could safely be said that the decline in self-reported
health is likely not an artefact. Self-rated health is one of the most
intensely researched measures of overall subjective health, and over the
years studies have found a wide array of correlates of self-rated
health. The overall Canadian population's age structure is likely
not a solid explanation as our period of study is relatively short (15
years) and we observe downward trends every two years of data
availability. The likely explanation would tend to be a complex mix of
factors, including but not exclusively, changing prevalence of chronic
diseases, mental health, and other psychosocial and social factors.
[FIGURE 4 OMITTED]
The decline in the share of the population who consider themselves
in excellent or very good health has been most marked among Canadian
teenagers, with a drop of 12.5 percentage points from its 1998/99 peak.
This is matched by a steadily increasing share of teenagers who report
problems with everyday functions (an increase of 8.8 percentage points
from 1994/95 to 2005), and increasing obesity rates--a trend that augurs
poorly for the health of this generation as they advance in age.
After peaking at the start of the new millennium, depression rates
gradually declined. However, the 2007/08 estimate represented a slight
increase. Throughout this period, the prevalence of depression has been
consistently higher in women than in men. At their peak in 2000/2001,
depression rates in women were nearly double those of men (9.4% and 5%,
respectively). While this difference has diminished slightly in recent
years, more women report depression than men. A notable income gradient
in depression was also observed for both sexes, with males being most
impacted by lower income levels.
Healthy living trends (some) catching on
Two encouraging findings were that the number of Canadians who
smoke dropped markedly from 1996/97 to 2009, particularly among youth
(Figure 3), and that there is a greater proportion of Canadians now
compared to a decade ago reporting that they are at least
"moderately active". A steep household income gradient was
observed for both findings. In 2007/08, smoking rates in the lowest
income households were more than double those of the highest.
Obesity continues to rise, despite more physical activity
Despite the overall and sustained rise in physical activity, the
number of Canadians who are obese continues to increase (from 11.9% in
1997 to 17.9% in 2009). At the same time, more Canadians are now living
with chronic diseases such as diabetes (which includes treated and
untreated diabetes), the prevalence of which has doubled over 15 years
(3% in 1994/95 to 6% in 2009). Diabetes rates are highest in the oldest
age group, with nearly one in five people aged 65 and over affected in
2009. Income and education, even at relatively low levels, have a marked
protective effect for diabetes. While this is true for both sexes, the
effect is greater for women (data not shown).
[FIGURE 5 OMITTED]
Higher income adds both quantity and quality to life
Higher incomes and higher levels of education are associated with
longer life expectancy and better self-reported health. Interestingly,
the positive impact of income and education on self-rated health is most
marked among women. At higher levels of income, women are more likely
than men to consider themselves in very good or excellent health. Income
and education effects were observed, with varying patterns, for most of
the indicators analyzed. Income increases in the lower income brackets
have the greatest impact in reducing the prevalence of diabetes,
depression, and teen smoking.
Place matters
On a number of indicators, there were interesting differences
between physical and mental health at the provincial and territorial
levels. For instance, Newfoundlanders have lower life expectancies and
generally higher rates of diabetes and other adverse health conditions
than people in other Canadian provinces and territories; however, they
have among the lowest levels of depression and are most likely to
consider themselves as having excellent or very good health. On the
other hand, British Columbians and Albertans enjoy among the longest
life expectancies and lowest levels of obesity and diabetes; but they
are also more likely than Newfoundlanders to report high levels of
depression and less likely to say they are satisfied with the quality of
their health services. These intriguing geographic differences may point
towards cultural differences in self-evaluations, and should be the
subject of further inquiry.
Pervasive health gaps remain for Aboriginal populations
Considerable progress has been made in terms of Aboriginal health
and wellbeing in Canada, but challenges remain. (7) In recent years,
Aboriginal people have experienced longer life expectancies and reduced
mortality rates, although the gap in these rates between Aboriginal and
non-Aboriginal Canadians remains unacceptably high. Life expectancy at
birth in 2000 for the Aboriginal population was 68.9 years for males and
76.6 for females--a full 7.4 and 5.2 years lower than for Canadian men
and women, respectively. The infant mortality rate for Aboriginal
populations has fallen dramatically, from 27.6 deaths per 1,000 live
births in 1979 to 6.4 in 2000. Still, it was 16% higher than the
comparable Canadian rate for that same year. First Nations living
on-reserve also rate their health in poorer terms. In 2002-03, 79.7%
said their health was "excellent" or "very good"
compared to 88% of the general Canadian population. (8) One potential
explanation for this discrepancy could be the much higher rate of
diabetes on-reserve (19.7% vs. 5.2%), a condition with which one in five
adults had been diagnosed. The differences between diabetes rates on-
and off-reserve were highest for young and middle-aged adults, with
implications for future generations of seniors. Unintentional injury and
suicide remain key challenges for Aboriginal people, as does infectious
disease. Potential years of life lost from injury were almost 3.5 times
higher than the national rate, with motor vehicle accidents being a
primary cause of death for all age groups. The Healthy Populations
report highlights a small portion of the long-known health disparities
between Aboriginal and non-Aboriginal Canadians, a health gap that in
recent years has narrowed somewhat but still remains unacceptably large.
[FIGURE 6 OMITTED]
Equity: The driving value
Equity is the core value that drives the CIW project. Health equity
similarly informs the work undertaken in the Healthy Populations Domain.
Health equity refers to the absence of unfair and avoidable or
remediable differences in health among populations or groups defined
socially, economically, demographically or geographically. (9) Various
analyses of health indicators and comparisons to other nations suggest
the potential for our collective capacity to improve the health of all
Canadians. Income and other socioeconomic conditions that influence
health are shaped by both private economic practices ("the
market") and public policies (regulation, taxes, transfers and
social protection spending). Income-related negative health effects are
caused by both material conditions (inadequate access to resources for
health) and psychosocial dynamics. (10,11) These conditions can be
mitigated by government regulation, programs and services.
Despite the availability of universal health care services, with
which a large majority of Canadians are satisfied when they encounter it
as patients, the persistence of significant health gaps suggests both
the need for health interventions tailored to socially excluded groups
and the potential health benefits of initiatives outside the health
field. This latter point was emphasized most strongly in the August 2008
Report of the World Health Organization Commission on Social
Determinants of Health, Closing the gap in a generation: Health equity
through action on the social determinants of health, to which many
Canadian public health researchers and policy analysts made substantial
contributions. (12)
Pulling it together: The Healthy Populations Index
A key deliverable for the CIW project is the calculation of a
single, overall measure, or index, of Canadians' wellbeing. Such
indices were also calculated for each individual CIW domain. * Figure 6
presents the Healthy Populations Domain index along with the overall
Canadian Index of Wellbeing and the GDP from 1994 to 2010. As shown,
there is an overall increase or positive trend in the health of
populations that began in 2001 (corresponding to a 6.6% increase in the
index), and while this increase tracks closely with the overall CIW
index, it is far below the rapidly climbing increase in GDP. The gains
in GDP do not necessarily translate directly to gains in overall
wellbeing or health of populations. Decreasing teen smoking rates and
increasing influenza immunization rates in seniors were two of the key
drivers behind the recent improvement in the Healthy Population index,
while increasing prevalence of diabetes, depression, and stagnant
self-rated health in recent years suppressed further gains in the
overall score.
CONCLUSION
The Canadian Index of Wellbeing is a multifaceted measurement and
monitoring tool developed to engage Canadians in conversations about
their health and wellbeing that go beyond health care or the economy,
and about acting on changes that matter in their lives. The Healthy
Population domain of the CIW stands as one important component in
measuring wellbeing; however, a greater value of the domain is to
understand the contributions it makes to and receives from other domains
of the CIW that, collectively, contribute to overall wellbeing.
Understanding the interactions between the indicators comprising CIW
domains, currently and over the years past, is the next challenge facing
CIW researchers.
The gains made in health trends in recent years, however, are
surprisingly modest and hide vast discrepancies in the health of
Canadians. Without proper policy intervention, Canada will continue to
see a health divide along income lines. Inaction will lead to increased
pressures on the health care system in the long run. With the current
rates of growth in obesity and diabetes, we might experience diminishing
life expectancy, particularly among the younger generation of Canadians.
The relationship between income and health calls for a multipronged
approach that does not simply address health policies, but also social
policies in order to advance our collective wellbeing. By implementing
greater intergovernmental efforts in benchmarking, streamlining, and
coordinating health programming and targets, we will enhance equity and
effectiveness across regions and populations.
Appendix A. Indicators included in the Healthy Population
Index, Canada
Year Self-rated Diabetes Life
Health Prevalence Expectancy
(% excellent (% yes) at Birth
or very good) (years)
1994 100.0 100.0 100.0
1995 100.2 96.8 100.3
1996 100.5 93.8 100.5
1997 101.9 89.6 100.8
1998 103.3 85.7 101.0
1999 101.3 81.1 101.3
2000 99.3 76.9 101.5
2001 97.3 73.2 101.8
2002 94.9 69.0 102.0
2003 92.6 65.2 102.2
2004 93.9 63.2 102.5
2005 95.2 61.2 102.8
2006 94.8 56.1 103.3
2007 94.5 51.7 103.3
2008 93.3 50.8 103.3
Year Teen Smoking Depression Patient
Rate (% with Satisfaction
(aged 12-19, probable With Overall
% daily or depression) Health
occasional Services
smokers) (% rating
services as
excellent
or good)
1994 100.0 100.0 100.0
1995 98.4 112.8 100.0
1996 96.8 129.3 100.0
1997 102.0 123.3 100.0
1998 107.7 117.8 100.0
1999 109.0 98.1 100.0
2000 110.4 84.1 100.0
2001 111.8 73.6 100.0
2002 124.4 80.9 101.4
2003 140.3 89.8 102.8
2004 154.8 95.5 101.9
2005 172.7 101.9 100.9
2006 173.4 94.6 101.9
2007 174.2 88.3 102.8
2008 183.3 88.3 102.8
Year Influenza Average HALE Average
Immunization for 15+ (% of of Healthy
Rate remaining Population
(age 65+) years expected Indicators
(% yes) to be lived in
good health)
1994 100.0 100.0 100.0
1995 100.0 101.1 101.2
1996 100.0 102.2 102.9
1997 106.3 99.3 102.9
1998 112.6 96.5 103.1
1999 118.9 96.3 100.8
2000 125.2 96.0 99.2
2001 131.5 95.8 98.1
2002 130.9 97.1 100.1
2003 130.3 98.4 102.7
2004 134.6 97.2 105.4
2005 138.8 96.1 108.7
2006 136.5 96.1 107.1
2007 134.2 96.1 105.7
2008 134.2 96.1 106.6
Acknowledgements: This paper is an abbreviated version of a
full-length report published by the Canadian Index of Wellbeing
foundation that is available at:
https://uwaterloo.ca/canadian-index-wellbeing/sites/ca.canadian-index-wellbeing/files/ uploads/files/CIW2012-HowAreCanadiansReallyDoing-23Oct2012_0.pdf. The authors acknowledge the contributions of Jacqueline Quail,
Elisabeth Bartlett, Matthew Sanger, Toby Sanger and Fleur Macqueen Smith
to the full report. We also thank colleagues in the CIW project and from
Statistics Canada for their feedback and assistance; external anonymous
reviewers and a number of experts who commented on the full report and
on the selection of indicators; and the Atkinson Foundation for their
initial leadership and support of the CIW project.
Conflict of Interest: None to declare.
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* Refer to the Composite Index Report (4) for a full discussion on
the methodology and individual results for each Healthy Populations
domain indicator and the other CIW domains.
Received: October 27, 2011
Accepted: July 18, 2012
Nazeem Muhajarine, PhD, [1,2] Ronald Labonte, PhD, FCAHS, [3]
Brandace D. Winquist, MSc [1]
Author Affiliations
[1.] Department of Community Health and Epidemiology, College of
Medicine, University of Saskatchewan, Saskatoon, SK
[2.] Saskatchewan Population Health and Evaluation Research Unit,
University of Saskatchewan, Saskatoon, SK
[3.] Department of Epidemiology and Community Medicine, Faculty of
Medicine, and Institute of Population Health, University of Ottawa,
Ottawa, ON
Correspondence: Dr. Nazeem Muhajarine, Health Sciences Building,
University of Saskatchewan, 107 Wiggins Road, Saskatoon, SK S7N 5E5,
Tel: 306-966-7940, E-mail:
[email protected]