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NORTHERN ONTARIO'S COMMUNITY ACCOUNTS
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The Multi-Variable Regional Comparison Feature is designed for retrieving topics for different geographies to aid in making comparisons. Select any number of variables from a single table, and then specify your table options such as geography type, age group, or gender (if applicable). Results will be shown for all geographies of the selected type and can be easily exported to excel for further work.
Table Information
Selected account: Health
Selected table: CCHS 2007-2014: Health Status
Variables
Health Status of Individuals
Self-perceived health
Excellent or very good self-assessed health status
Fair or poor self-assessed health status
Self-assessed mental health
Excellent or very good self-assessed mental health
Fair or poor self-assessed mental health
Chronic conditions
Physical
Arthritis
Diabetes
Asthma
High blood pressure
Chronic obstructive pulmonary disease (COPD)
Non-Physical
Mood
Functional Health, good to full
Pain or discomfort by severity, moderate or severe
Pain or discomfort that prevents activites
Participation and activity limitation, sometimes or often
The Canadian Community Health Survey is a cross-sectional survey
that collects information related to health status, health care
utilization and health determinants for the Canadian population. It is
designed to answer two crucial questions:
1. How healthy are Canadians?
2. How healthy is the Canadian health care system?
The
CCHS targets persons age 12 years and older living in private
dwellings. Excluded from the sample are individuals living on Indian
Reserves or Crown Lands, institutional residents, full time members of
the Canadian Armed Forces and residents in certain remote areas.
Proxy Interview
In cases where the selected respondent was, for reasons of physical or
mental health, incapable of completing an interview, another
knowledgeable member of the household provided information about the
selected respondent.
Self-Assessed Health Status
An individual's own assessment of his or her health. Classified by
asking respondents to rank their health into one of five categories:
excellent, very good, good, fair, or poor. Considered to be the best
single indicator of perceived level of health.
Self-Assessed Mental Health Status
An individual's own assessment of his or her own mental health.
Classified by asking an individual to rank their mental health into one
of five categories: excellent, very good, good, fair, or poor.
Chronic Conditions
Only refers to "long-term conditions" which are expected to last or have
already lasted 6 months or more and have been diagnosed by a health
professional.
Each condition shown under this category was asked separately to
respondents. Thus, the percentages shown represent the percentage of
people in the survey who indicated they have the particular condition.
Confidence Interval
A confidence interval gives an estimated range of values which
is likely to include an unknown population parameter, the estimated
range being calculated from a given set of sample data.
If
independent samples are taken repeatedly from the same population, and a
confidence interval calculated for each sample, then a certain
percentage (confidence level) of the intervals will include the unknown
population parameter. A confidence level of 95% implies that 95% of
all samples would give an interval that includes the population
parameter.
The width of the confidence interval
gives us some idea about how uncertain we are about the unknown
parameter. A very wide interval may indicate that more data should be
collected before anything very definite can be said about the
parameter.
Confidence Level
The confidence level is the probability value (1-alpha) associated with a confidence interval.
It
is often expressed as a percentage. For example, say alpha = 0.05 = 5%,
then the confidence level is equal to (1-0.05) = 0.95, i.e. a 95%
confidence level.
If independent samples are taken
repeatedly from the same population, and a confidence interval
calculated for each sample, then a certain percentage (confidence level)
of the intervals will include the unknown population parameter. A confidence level of 95% implies that 95% of all samples would give an interval that includes the population parameter.
Example: Suppose
an opinion poll predicted that, if the election were held today, the
Conservative party would win 60% of the vote. The pollster might attach a
95% confidence level to the interval 60% plus or minus 3%. That is, he
thinks it very likely that the Conservative party would get between 57%
and 63% of the total vote.
Source:
Compiled by the Community Accounts Unit based on information from the Canadian Community Health Survey (CCHS), Statistics Canada.
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