cchsflow supports the use of the Canadian Community Health Survey (CCHS) by transforming variables from each cycle into harmonized, consistent versions that span survey cycles (currently, 2001 to 2018).
The CCHS is a population-based cross-sectional survey of Canadians that has been administered every two years since 2001. There are approximately 130,000 respondents per cycle. Studies use multiple CCHS cycles to examine trends over time and increase sample size to examine sub-groups that are too small to examine in a single cycle.
The CCHS is one of the largest and most robust ongoing population health surveys worldwide. The CCHS, administered by Statistics Canada, is Canada’s main general population health survey. Information about the survey is found here. The CCHS has a Statistic Canada Open Licence.
Each cycle of the CCHS contains over 1000 variables that cover the four main topics: sociodemographic measures, health behaviours, health status and health care use. The seemingly consistent questions across CCHS cycles entice you to combine them together to increase sample size; however, you soon realize a challenge…
Imagine you want to use BMI (body mass index) for a study that spans
CCHS 2001 to 2018. BMI seems like a straightforward measure
that is routinely-collected worldwide. Indeed, BMI is included in all
CCHS cycles. You examine the documentation and find the variable
HWTAGBMI in the CCHS 2001 corresponds to body mass index,
but that in other cycles, the variable name changes to
HWTCGBMI, HWTDGBMI, HWTEGBMI,
etc. On reading the documentation, you notice that some cycles round the
value to one decimal, whereas other cycles round to two digits.
Furthermore, some cycles don’t calculate BMI for respondents < age 20
or > 64 years. Also, some cycles calculate BMI only if height and
weight are within specific ranges. These types of changes occur for
almost all CCHS variables. Sometimes the changes are subtle and
difficult to find in the documentation, even for seemingly
straightforward variables such as BMI. cchsflow harmonizes
the BMI variable across different cycles.
cchsflow creates harmonized variables (where possible)
between CCHS cycles. Searching BMI in variables (described
in the Introduction section of variableDetails.csv vignette)
shows HWTGBMI calculates BMI with two decimal places for
all cycles for all respondents using the respondents’ untruncated height
and weight.
Calculate a harmonized BMI variable for CCHS 2001 cycle
# load test cchs data - included in cchsflow
cchs2001_BMI <- rec_with_table(cchs2001_p, "HWTGBMI")
Notes printed to console indicate issues that may affect BMI classification for your study.
Loading cchsflow variable_details
Using the passed data variable name as database_name
NOTE for HWTGBMI : CCHS 2001 restricts BMI to ages 20-64
NOTE for HWTGBMI : CCHS 2001 and 2003 codes not applicable and missing
variables as 999.6 and 999.7-999.9 respectively, while CCHS 2005 onwards codes
not applicable and missing variables as 999.96 and 999.7-999.99 respectively
NOTE for HWTGBMI : Don't know (999.7) and refusal (999.8) not included
in 2001 CCHS"Combining CCHS across survey cycles will result in misclassification error and other forms of bias that affects studies in different ways. The transformations that are described in this repository have been used in several research projects, but there are no guarantees regarding the accuracy or appropriate uses. Thomas and Wannell describe methodolgy issues when combining CCHS cycles.
Care must be taken to understand how specific variable transformation
and harmonization with cchsflow affect your study or use of
CCHS data. Across survey cycles, almost all CCHS variables have had at
least some change in wording and category responses. Furthermore, there
have been changes in survey sampling, response rates, weighting methods
and other survey design changes that affect responses.
# Install release version from CRAN
install.packages("cchsflow")
# Install the most recent version from GitHub
devtools::install_github("Big-Life-Lab/cchsflow")You can download and use the latest version of variables.csv
and variable_details.csv
from GitHub.
cchsflow package?cchsflow package includes:
variables.csv - a list of variables that can be
transformed across CCHS surveys.variable_details.csv - information that describes how
the variables are recoded.variables.csv.
Transformations are performed using rec_with_table().
variables.csv and variable_details.csv can be
used with other statistics programs (see issue).cchsflow includes a random
sample of 200 respondents from each CCHS PUMF file from 2001 to 2018.
These data are used for the vignettes. The CCHS test data is stored in
/data as .RData files. They can be read as a package database.# read the CCHS 2017-2018 PUMF test data
test_data <- cchs2017_2018_pThis repository does not include the full CCHS data. Information on how to access the CCHS data can is here. The Canadian university community can also access the CCHS through ODESI (see health/Canada/Canadian Community Health Survey).
Project on the roadmap can be found on here.
Please follow this guide if you would like to contribute to the cchsflow package.
We encourage PRs for additional variable transformations and derived variables that you believe may be helpful to the broad CCHS community.
Currently, cchsflow supports R through the
rec_with_table() function. The CCHS community commonly uses
SAS, Stata and other statistical packages. Please feel free to
contribute to cchsflow by making a PR that creates versions
of rec_with_table() for other statistical and programming
languages.
CCHS data used in this library is accessed and adapted in accordance to the Statistics Canada Open Licence Agreement.
Source from Statistics Canada, Canadian Community Health Survey 2001 to 2018 PUMF, accessed March 2022. Reproduced and distributed on an “as is” basis with the permission of Statistics Canada.
Adapted from Statistics Canada, Canadian Community Health Surveys 2001 to 2018 PUMF, accessed March 2022. This does not constitute an endorsement by Statistics Canada of this product.