Canadian Community Health Survey - Annual Component, 2012
hdl:11272/10313UNF:5:z9scf46yEue6oQ3xbDMuXw==
Version: 3 – Released: Tue Nov 22 15:32:59 PST 2016
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TitleCanadian Community Health Survey - Annual Component, 2012
Study Global IDhdl:11272/10313
Other IDStatistics Canada: 82M0013X
ProducerStatistics Canada (Statcan)
Production DateNovember 13, 2013
Production PlaceOttawa
DistributorStatistics Canada (Statcan)
Distribution DateNovember 13, 2013
Deposit DateNovember 04, 2015
SeriesCCHS, Canadian Community Health Survey
Versionv1.0, November 13, 2013
Original Dataverse
Description and Scope
Description

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level. The CCHS has the following objectives: - Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels; - Provide a single data source for health research on small populations and rare characteristics; - Timely release of information easily accessible to a diverse community of users; - Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population. Prior to 2007, data collection occurred every two years on an annual period. Data are available for the 2001, 2003 and 2005 periods. In 2007, major changes were made to the survey design with the goal of improving its effectiveness and flexibility through data collection on an ongoing basis. Data collection now occurs every year, rather than every two years as was the case prior to 2007. The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians . Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians.

KeywordsCountry::Canada (ACV); Health (ACV)
Related MaterialView in NESSTAR
Time Period Covered2012 - 2012
Date of Collection2012 - 2012
Country/NationCanada (CA)
Geographic CoverageCanada
Geographic UnitCanada, Provinces, Territories, CMAs, Health regions
Geographic BoundingWest Bounding Longitude: -141.018 East Bounding Longitude: -52.6194 North Bounding Latitude: 83.1355 South Bounding Latitude: 41.6814
Unit of AnalysisIndividuals
UniverseThe CCHS covers the population 12 years of age and over living in the ten provinces and the three territories. Excluded from the survey's coverage are: persons living on reserves and other Aboriginal settlements in the provinces; full-time members of the Canadian Forces; the institutionalized population and persons living in the Quebec health regions of Région du Nunavik and Région des Terres-Cries-de-la-Baie-James. In Nunavut, the coverage is limited to the ten largest communities* which represents about 70% of the Nunavut population. Altogether, these exclusions represent less than 3% of the target population. *The 10 largest communities in Nunavut are: Iqaluit, Rankin Inlet, Cambridge Bay, Kugluktuk, Cape Dorset, Pangnirtung, Igloolik, Pond Inlet, Baker Lake and Arviat.
Kind of DataDataset
Data Collection / Methodology
Time MethodCross-sectional
Data CollectorStatistics Canada
FrequencyAnnual
Sampling ProcedureResponding to this survey is voluntary. Data are collected directly from survey respondents. The CCHS questionnaire is administered using computer-assisted interviewing (CAI). Sample units selected from the area frame are interviewed using the Computer-Assisted Personal Interviewing (CAPI) method while units selected from the Random Digit Dialling (RDD) and telephone list frames are interviewed using the Computer-Assisted Telephone Interviewing (CATI) method. CAI offers a number of data quality advantages over other collection methods. First, question text, including reference periods and pronouns, is customised automatically based on factors such as the age and sex of the respondent, the date of the interview and answers to previous questions. Second, edits to check for inconsistent answers or out-of-range responses are applied automatically and on-screen prompts are shown when an invalid entry is recorded. Immediate feedback is given to the respondent and the interviewer is able to correct any inconsistencies. Third, questions that are not applicable to the respondent are skipped automatically. CAPI interviewers work independently from their homes using laptop computers and are supervised from a distance by senior interviewers. Completed interviews are transmitted daily to Statistics Canada's head office using a secure telephone transmission directly from the interviewer's home. CATI interviewers work in centralised offices and are supervised by a senior interviewer located in the same office. Transmission of cases from each of 4 CATI offices to head office is the responsibility of the regional office project supervisor, senior interviewer and the technical support team. An automated call scheduler, for example a central system to optimise the timing of call-backs and the scheduling of appointments, is used to support CATI collection.
Collection ModeThe CCHS questionnaire is administered using computer-assisted interviewing (CAI). Sample units selected from the area frame are interviewed using the Computer-Assisted Personal Interviewing (CAPI) method while units selected from the Random Digit Dialling (RDD) and telephone list frames are interviewed using the Computer-Assisted Telephone Interviewing (CATI) method.
Type of Research InstrumentStructured
Actions to Minimize LossesSome editing of the data is performed at the time of the interview by the computer-assisted interviewing (CAI) application. It is not possible for interviewers to enter out-of-range values and flow errors are controlled through programmed skip patterns. For example, CAI ensures that questions that do not apply to a respondent are not asked. In response to some types of inconsistent or unusual reporting, warning messages are invoked but no corrective action is taken at the time of the interview. Several edits are performed at Head Office during the data processing step. A critical error edit is done that rejects respondent entries (for instance, excluded populations). Flow errors are also adjusted during processing and a data inconsistency detection and correction program is applied. Where appropriate, edits are instead developed to be performed at Head Office after data collection. Inconsistencies are usually corrected by setting one or both of the variables in question to "not stated". Response frequency obtained during the current period and previous reference periods is also compared to identify errors prior to release. Finally, health indicators originating from the CCHS common content are going through a validation process after final microdata files are produced. Estimates for all geography levels by sex and by age groups are compared to estimates from previous years. This process allows to confirm that estimates of key indicators are acceptable.
Estimates of Sampling Error The principle behind estimation in a probability sample is that each person in the sample "represents", besides himself or herself, several other persons not in the sample. For example, in a simple random 2% sample of the population, each person in the sample represents 50 persons in the population. In the terminology used here, it can be said that each person has a weight of 50. The weighting phase is a step that calculates, for each person, his or her associated sampling weight. This weight must be used to derive meaningful estimates from the survey. For example, if the number of individuals who had a major depressive episode is to be estimated, the weights of survey respondents having that characteristic should be summed. In order for estimates produced from survey data to be representative of the covered population and not just the sample itself, a user must incorporate the survey weights into their calculations. In order to determine the quality of an estimate, the variance must be calculated. Because the CCHS uses a multi-stage survey design, there is no simple formula that can be used to calculate variance estimates. Therefore, an approximative method is needed. Coefficient of variation, standard deviation and confidence intervals can then be calculated from the variance. The bootstrap re-sampling method used in the CCHS involves the selection of simple random samples known as replicates, and the calculation of the variation between the estimates from replicate to replicate. In each stratum, a simple random sample of (n-1) of the n clusters is selected with replacement to form a replicate. Note that since the selection is with replacement, a cluster may be chosen more than once. In each replicate, the survey weight for each record in the (n-1) selected clusters is recalculated. These weights are then post-stratified according to demographic information in the same way as the sampling design weights in order to obtain the final bootstrap weights. The entire process (selecting simple random samples, recalculating and post-stratifying weights for each stratum) is repeated B times, where B is large. The CCHS typically uses B=500, to produce 500 bootstrap weights. To obtain the bootstrap variance estimator, the point estimate for each of the B samples must be calculated. The standard deviation of these estimates is the bootstrap variance estimator. Statistics Canada has developed a program that can perform all of these calculations for the user: the Bootvar program.
Other Forms of Data AppraisalTo ensure the survey meet its objectives (see "Survey Description"), a Steering Committee and an Advisory Board comprised of authorities from the provincial and territorial Ministries of Health, Health Canada and the Public Health Agency of Canada determined the concepts and focus. Expert Groups were convened to advise on the measures to obtain the results envisioned by the Steering Committee and Advisory Board, and to recommend proven collection vehicles and indices. The resulting data are recognized as valid measures of contemporary concepts such as: depression, activity limitation, weight problems and chronic pain. Throughout the collection process, control and monitoring measures were put in place and corrective action was taken to minimize non-sampling errors. These measures included response rate evaluation, reported and non-reported data evaluation, on site observation of interviews, improved collection tools for interviewers and others. Once processing steps are completed, three data validation steps are undertaken. First, a validation program is run in order to compare estimates for the health indicators taken from the common content with the previous year. This validation is performed at various geographical levels, as well as by age and sex. Significant differences are examined further to find any anomalies in data. Also, the work of analysts who use the CCHS data to publish analytical articles on specific themes, allows for an in-depth look at many variables of the survey and represents a very effective way to find error. Last, an external validation step is also part of the validation process. Share files are sent before release to provincial and federal partners for a two-week examination period. They can then scrutinize the data and inform Statistics Canada of any concerns or anomalies related to data quality.
Data Availability
Number of Files 15
Terms of Use
Special PermissionsResource LICENSED for Abacus institutions.
Conditions

Licence agreement for Data from Statistics Canada, including Public Use Microdata Files, Postal Code products and the CIHI Discharge Abstracts Database.

DEFINITION

1. "Microdata file" means a non-identifiable data set containing characteristics pertaining to surveyed units as described in section 2.

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2. The Microdata file referred to in this Agreement relates to Public Use Microdata Files (PUMF) in the DLI collection.

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DELIVERY OF PRODUCT

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USE OF MICRODATA

6.(1) Statistics Canada hereby grants to the Licensee a non-exclusive, non-assignable and non-transferable licence to use the Microdata files and related documentation for statistical and research purposes. The Microdata files shall not be used for any other purposes without the prior written consent of Statistics Canada.

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6.(4) The Licensee shall not present information from the Microdata files in such a manner that gives the appearance that the Licensee may have received, or had access to, information held by Statistics Canada about any identifiable person, business or organization.

6.5(5) The Licensee shall not disassemble, decompile or in any way attempt to reverse engineer any software provided as part of the Microdata files.

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This analysis is based on the Statistics Canada (Name of database and/or microdata file) (Reference Year). All computations, use and interpretation of these data are entirely that of (Name of Author(s) or Licensee).

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TERM

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TERMINATION

11.(1) Statistics Canada may, by providing ten days written notice to the Licensee, terminate this Agreement if the Licensee fails to comply with any of the terms of this Agreement and to remedy such breach within the notice period.

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AMENDMENT

14. No amendment to this Agreement shall be valid unless it is reduced to writing and signed by the Parties hereto.

ENTIRE AGREEMENT

15. This Agreement constitutes the entire agreement between Statistics Canada and the Licensee with respect to the Licensee’s right to use the Microdata files.

APPROPRIATE LAW

16. This Agreement shall be governed and construed in accordance with the laws of the province of Ontario and the laws of Canada applicable therein. The parties hereby attorn to the exclusive jurisdiction of the Federal Court of Canada..


APPENDIX II

End-use Licence Agreement for Postal CodeOM Conversion File, Postal Codes OM by Federal Ridings File and Postal CodeOM Conversion File Plus (“data product”)

The Government of Canada (Statistics Canada) is the owner or a licensee of all intellectual property rights in this data product. With your payment of the requisite fee, you (hereinafter referred to as 'the Licensee') are granted a non-exclusive, non-assignable and non-transferable licence to use this data product subject to the terms below. This licence is not a sale of any or all of the rights of the owner(s). The data product includes information taken with permission from © Canada Post Corporation. All rights reserved. Information taken with permission from Canada Post Corporation does not form part of the Government of Canada open data portal.

Terms of use

1. The Licensee shall not lend, rent, lease, sublicense, distribute, make public, transfer or sell any part of the data product nor any right granted under this agreement to any person outside the licensed organization or to any other organization.

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3. The Licensee shall not use any part of the data product to develop or derive any other data product or data service for external distribution or commercial sale.

4. The Licensee shall not use the data product other than for the purpose of matching postal codeOM data to geography in accordance with Appendix ‘A’. 5. The Licensee shall not use the data product for the following mail preparation purposes:

(i) addressing mail;

(ii) presorting addressed mail;

(iii) preparing unaddressed mail by householder count for delivery

6. The Licensee agrees not to merge or link the data product with any other databases in such a fashion that gives the appearance that the Licensee may have received, or had access to, information held by Statistics Canada about any identifiable individual, family, household, organization or business.

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Source: (or Adapted from) Statistics Canada (Select either Postal Code Conversion File or Postal Codes by Federal Ridings File and Postal Code Conversion File Plus (reference date) which is based on data licensed from Canada Post Corporation.

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License Agreement for the Disc harge Abstract Database (DAD) Research Analytic Files from the Canadian Institute for Health Information (CIHI)

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1. The Discharge Abstract Database (DAD) Research Analytic Files referred to in this Agreement relate to research analytic files (‘clinical’ and ‘geographic’) that are de- identified samples fromCIHI’s Discharge Abstract Database (sampled from fiscal years 2009–2010 and 2010–2011) contained in the DLI Collection (the “CIHI Files”).”

CONTACT AND CUSTODIAN

2.(1) The Licensee hereby nominates the DLI contact as the contact person to whom all further communication shall be addressed by Statistics Canada or CIHI on any matter concerning this Agreement.

2.(2) The Licensee hereby nominates the DLI contact as the designated custodian of the CIHI Files with responsibility for ensuring their proper use and custody pursuant to the terms of this Agreement.

DELIVERY OF PRODUCT

3.Upon signature of this Agreement, Statistics Canada shall provide to the Licensee access to the CIHI Files and one copy of the related documentation.

OWNERSHIP

4.The CIHI Files and related documentation shall at all times be and remain the sole and exclusive property of CIHI, it being mutually agreed that this Agreement involves a limited licence for the use of the CIHI Files and related documentation and that nothing contained herein shall be deemed to convey any title or ownership interest in the CIHI Files or the related documentation to the Licensee.

USE OF CIHI FILES

5.(1) Statistics Canada hereby grants to the Licensee a non-exclusive, non-assignable and non-transferable limited licence to use the CIHI Files and related documentation for statistical and research purposes. The CIHI Files and related documentation shall not be used for any other purposes without the prior written consent of CIHI.

5.(2) Use of the CIHI Files and related documentation is limited to the Licensee. The CIHI Files and related documentation cannot be reproduced or transmitted to any person or organization outside of the Licensee’s or ganization.

5.(3) The Licensee shall not merge or link the records on the CIHI Files with any other databases for the purpose of attempting to identify an individual person, business or organization.

5.(4) The Licensee shall not present information from the CIHI Files in such a manner that gives the appearance that the Licensee may have received, or had access to, information held by CIHI about any identifiable person, business or organization.

5.(5) The Licensee shall not disassemble, decompile or in any way attempt to reverse engineer any software provided as part of the CIHI Files.

NO WARRANTY AND NO LIABILITY

6.The CIHI Files are licenced ‘as-is,’ and CIHI makes no representation or warranties whatsoever with respect to the CIHI Files, whether express or implied, in relation to the CIHI Files and expressly disclaims any implied warranty or merchantability or fitness for a particular purpose of the CIHI Files.

The Canadian Institute for Health Information or any of its officials employees, agents, successors and Assigns shall not be liable for any errors or omissions in the CIHI Files and shall not, under any circumstances, be liable for any direct, indirect, special, incidental, consequential, or other loss injury, damage, however caused, that you may suffer at any time by reason of your possession, access to or use of the CIHI Files arising out of the exercise of your rights or the fulfilment of your obligations under this agreement.

PUBLICATION BY THE LICENSEE

7. In any publication of any information based on the CIHI Files, the Licensee shall use the following form of accreditation: “Parts of this material are based on the Canadian Institute for Health Information Discharge Abstract Database Research Analytic Files(sampled from fiscal years 2009 – 2010 and 2010 – 2011). However the analysis, conclusions, opinions and statements expressed herein are those of the author(s) and not those of the Canadian Institute for Health Information.”

CONDITION OF USE

8. Statistics Canada may modify this agreement at any time with respect to the Licensee’s right to use the CIHI Files and related documentation and such modifications shall be effective immediately upon posting of the modified agreement on the Statistics Canada Website.

TERM

9. This Agreement com es into force when signed by both Parties and shall continue in force until terminated in accordance herewith.

TERMINATION

10.(1) Statistics Canada may, by providing ten days written notice to the Licensee, terminate this Agreement if the Licensee fails to comply with any of the terms of this Agreement and to remedy such breach within the notice period.

10.(2) In the event of termination, the Licensee must immediately return the CIHI Files and related documentation to Statistics Canada, or destroy them an d certify this destruction in writing to Statistics Canada.

11. Any notice to be given to Statistics Canada or the Licensee shall be in writing and sent by registered mail, electronic mail or facsimile.

12. Sections 4, 6 and 8 hereof survive the termination of this Agreement pursuant to Section 11.

AMENDMENT

13. No amendment to this Agreement shall be valid unless it is reduced to writing and signed by the Parties hereto.

ENTIRE AGREEMENT

14. This Agreement constitutes the entire agreement between Statistics Canada and the Licensee with respect to the Licensee’s right to use the CIHI Files and related documentation.

APPROPRIATE LAW

15.This Agreement shall be governed and construed in accordance with the laws of the province of Ontario and the laws of Canada applicable therein. The parties hereby attorn to the exclusive jurisdiction of the Federal Court of Canada.


Appendix A – Approved Postal Code Data Matching Uses for DLI Accredited Canadian Post Secondary Institution

Matching Postal Code data to geography for:

  • Teaching and learning purposes.

    E.g.: Students can download PCCF on their laptop to do their assignments. This includes projects, maps, analytical papers, etc. Faculty can download and use the PCCF in teaching exercises.
  • Research purposes

    E.g.: Can be used in analysis to write articles that are published in journals. The data is not shared but the results are published. This also includes thesis for Masters or Doctorate where results are required to be public.
  • Planning purposes – where the institution can use the information in planning student recruitment activities or find out where these students are coming from.

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"Canadian Community Health Survey - Annual Component, 2012", hdl:11272/10313