National Work Injuries Statistics Program (NWISP)

Detailed information for 1996

This survey was conducted to collect accident information in Canada.

Data release - -

• Description
• Data sources and methodology

Description

This survey was conducted to collect accident information in Canada.

Subjects

• Diseases and health conditions
• Health
• Labour

Data sources and methodology

Sampling

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

Data sources

Responding to this survey is voluntary.

Data are extracted from administrative files.

Information is collected from administrative files of all Provincial and Territorial Workers' Compensation Boards according to standards and classifications outlined by Statistics Canada. Magnetic tapes are sent annually for processing to Statistics Canada.

Error detection

About 520,000 records have been received from all territorial and provincial Workers' Compensation Board and Commissions by Statistics Canada. After the data have been received by Statistics Canada they are checked for errors and consistency. Involves the edit for invalid codes and time series analysis. If large variances in year-over-year comparisons are observed the appropriate Workers Compensation Board or Commission is contacted to provide explanations or to correct the data.

Quality evaluation

Occupational illnesses are not well represented because an illness has to be recognized under workers compensation legislation. Moreover, illnesses may be latent many years and be treated within the general health care system. Sources of error: when a province uses a different standard, a conversion has to be made which affects the precision of the data. Coverage of the target population is virtually complete.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects that 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.

In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.