Survey on Living with Chronic Diseases in Canada (SLCDC)

Detailed information for 2011 (diabetes and respiratory conditions)

Status:

Inactive

Frequency:

Every 2 years

Record number:

5160

The purpose of the Survey on Living with Chronic Diseases in Canada (SLCDC) is to provide information on the impact of chronic disease on individuals, as well as how people with chronic disease manage their health condition.

Data release - November 14, 2011

Description

The SLCDC is a cross-sectional survey sponsored by the Public Health Agency of Canada that collects information related to the experiences of Canadians with chronic health conditions. The SLCDC takes place every two years, with two chronic diseases covered in each survey cycle.

The SLCDC asks respondents about a number of issues related to chronic health conditions, including diagnosis of a chronic health condition, care received from health professionals, medication use and self-management of their condition. The survey has the following objectives:

- To assess the impact of chronic health conditions on quality of life
- To provide more information on how people manage their chronic health conditions
- To identify health behaviours which influence disease outcomes
- To identify barriers to self-management of chronic health conditions

The SLCDC data can be used by governments to better plan and provide health services for persons with chronic health conditions and to develop public education campaigns primarily aimed at health promotion and disease prevention. Researchers will be able to use the data to monitor, analyse, measure and report on those factors affecting chronic health conditions.

Reference period: Varies according to the question (for example: "currently" or "during the past month", etc.)

Subjects

  • Diseases and health conditions
  • Health

Data sources and methodology

Target population

The SLCDC covers the population living in the ten provinces who have been diagnosed by a health professional with one or more of the following conditions: asthma (12 years of age and over), diabetes (20 years of age and over) or Chronic Obstructive Pulmonary Disease (35 years of age and over). Excluded from the survey coverage are: persons living on reserves and other Aboriginal settlements; 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. Altogether, these exclusions represent less than 3% of the overall Canadian population.

Instrument design

The two questionnaires were developed by Statistics Canada, in collaboration with the Public Health Agency of Canada and their diabetes and respiratory conditions expert groups. Qualitative testing by Statistics Canada's Questionnaire Design Resource Centre, using face-to-face interviews, was conducted in February 2010.

The questions are designed for computer-assisted interviewing (CAI), meaning that, as the questions were developed, the associated logical flow into and out of the questions was programmed. This includes specifying the type of answer required, the minimum and maximum values, on-line edits associated with the question and what to do in case of item non-response.

Sampling

This is a sample survey with a cross-sectional design.

The sample for this survey was drawn from respondents of the 2010 Canadian Community Health Survey (CCHS) (see record number 3226). In order to produce reliable estimates by age and sex groups, it was decided to select every person that reported living with one of the three conditions (diabetes, asthma or COPD). The raw sample size included 9,100 persons.

Data sources

Data collection for this reference period: 2010-10-07 to 2011-04-19

Responding to this survey is voluntary.

Data are collected directly from survey respondents.

Proxy interviews are not permitted. Respondents are interviewed using a computer assisted telephone interview (CATI) system.

View the Questionnaire(s) and reporting guide(s).

Error detection

Some 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. Inconsistencies are usually corrected by setting one or both of the variables in question to "not stated". 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.

Imputation

There is no imputation in the SLCDC.

Estimation

The "weight" is defined as the number of individuals that a participant represents in the target population, including him- or herself. The sum of the weights of all individuals in the sample should equal the size of the target population. The principle behind estimation consists of using weights to assess the prevalence of a characteristic by extrapolating from the sample to the target population. For example, the number of women in the population aged 20 to 64 years old and suffering from diabetes is estimated by summing the weights of all women in the sample with those characteristics. Similarly, an estimate of the proportion of asthma sufferers in the target population who are male is computed by dividing the sum of the weights of men with asthma by the sum of weights of everyone (male and female) with asthma. Since the SLCDC is a follow-up survey to the CCHS, the initial weights for the SLCDC were obtained from the final weights of the CCHS.

Once selected, individuals may fail to respond to surveys for any number of reasons (refusal, inability, unavailability during attempts to contact them, etc.). When more up-to-date information from the SLCDC is considered, a selected individual may no longer belong to the target population. In order to ensure that SLCDC respondents truly represent the target population, initial weights are adjusted to shift weight from non-respondents onto respondents. Selected individuals who are no longer part of the target population are removed from the file.

To measure the precision of the generated estimates, the variance must be computed. Owing to the complexity of the sample design, it is very difficult to obtain an expression for the variance. Therefore, the variance is estimated using the method known as bootstrap replication. This method consists of drawing B sub-samples from the full sample (in the case of the SLCDC, generally B=500) with replacement. For each of the B sub-samples, an estimate of the characteristic of interest (for example, the proportion of men suffering from asthma) is computed. The observed variance between the B estimates is the bootstrap variance estimator.

For purposes of the SLCDC, the bootstrap replications are the B sub-samples used to estimate the variance of the CCHS. For each bootstrap replication of the CCHS, weights are adjusted in the same way as during the sample design. The resulting adjusted-weight replications are considered bootstrap replications of the SLCDC, from which estimates of the variance are produced.

Statistics Canada has developed a program called bootvar that can use bootstrap samples to generate variance and the corresponding measures of precision.

Quality evaluation

Throughout the collection and processing processes, 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, follow-ups with respondents, improvement of collection tools for interviewers and others.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.

Revisions and seasonal adjustment

This methodology type does not apply to this statistical program.

Data accuracy

The response rate for the 2011 SLCDC was 79%.
Please refer to Chapter 9.0 (Data Quality) of the User Guide for detailed information.

Documentation

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