Nursing and Residential Care Facilities - Public

Detailed information for 2015

The program collects and disseminates financial operating data concerning government controlled and not-for-profit residential care facilities. Data may be used to develop national and regional economic policies and programs.

Data release - December 19, 2017 (provisional estimates)

• Description
• Data sources and methodology
• Data accuracy

Description

As the median age of Canada's population continues to rise, the demands on the health and long term care systems will increase.

To monitor the economic impacts of this demographic shift, financial data pertaining to government owned, operated or controlled and not-for-profit residential care facilities are collected and aggregated with other sources to produce official estimates of national and provincial economic production for the industry. Control is assessed at the institutional-unit level and based on a number of factors, including decision making abilities and financial dependence.

Estimates are made available to businesses, governments, investors, associations, and the public. The data are used to monitor industry growth, measure performance, and make comparisons to other data sources to better understand this industry.

Reference period: The calendar year, or the 12-month fiscal period for which the final day occurs on or between April 1st of the reference year and March 31st of the following year

Collection period: May through August, two years after the reference period

Subjects

• Government
• Health
• Health and disability among seniors
• Older adults and population aging (formerly Seniors)
• Revenue and expenditures

Data sources and methodology

Target population

The target population consists of residential care facilities that are owned, operated or controlled by any level of government, and not-for-profit institutions. Control is assessed at the institutional-unit level and based on a number of factors, including decision making abilities and financial dependence. Only facilities that operate with residential care as their primary operating activity are included. For example, long-term care administered in hospital branches would not be included in the population.

The observed population consists of all public sector establishments in the Business Register classified to the Nursing and residential care facilities (NAICS 623) according to the North American Industry Classification System (NAICS 2012) during the reference year.

Sampling

This survey is a census.

Census - the intent is to collect information from all units of the survey population

Data sources

Data are extracted from administrative files and derived from other Statistics Canada surveys and/or other sources.

Administrative data including provincial public accounts, budgets, main estimates and general ledgers are obtained from provincial governments. Various provincial ministries may be contacted directly to assist in the verification of the frame of facilities.

Databases from the Canadian Institute for Health Information, including the Canadian MIS Database (CMDB) and National Health Expenditure Trends Database are transferred to Statistics Canada, and are used for data confrontation and validation.

Administrative data from Canada Revenue Agency is extracted from Tax Databases and aggregated with other administrative data.

Administrative data from provincial government sources, including public accounts, budgets and main estimates are retrieved from publicly available sources. Transfers and other expenses in the residential care industry are identified and used as indicators to estimate growth at the facility level. Where applicable, general ledgers obtained directly from provincial sources are used to supplement publicly available administrative data. General ledgers may contain additional detail, including grants and other expenses made to specific residential care facilities. Select series may be populated using tax data from administrative data sources.

Data are analyzed to ensure time-series consistency, and are free of unintended outliers. Data are then aggregated to protect the confidentiality of individual residential care facilities. Where data gaps may exist in these databases, alternative methods, including manual financial statement collection may be used.

The Canadian MIS Database and National Health Expenditures Database are obtained directly from the Canadian Institute for Health Information (CIHI), and used for data confrontation and validation.

Data are analyzed to ensure time-series consistency and accuracy. Overlapping data is confronted to confirm coherence between multiple sources before being aggregated (by province) to ensure the confidentiality of each residential care facility.

Error detection

To confirm the accuracy of micro data records received in administrative data sources, various error detection methods are applied to identify reporting and capture errors during the data processing phase. Horizontal analysis may be applied to identify abnormal movements in time-series at account or aggregate levels. Vertical analysis may also be applied to ensure that ratios and proportions are consistent, and aggregate totals are calculated accurately. Outliers are automatically identified using a predetermined threshold, and extreme outliers are manually reviewed to determine validity.

Imputation

Missing, invalid or inconsistent data may be imputed using donor data from other sources where they exist, or historical records (prior years adjusted using indicators from the current production year).

Estimation

All units in the observed population are included. Estimation of totals is done by simple aggregation of the values of all estimation units that are found in the domain of estimation.

Quality evaluation

Prior to the data release, results are analyzed for comparability; in general, this includes a detailed review of: individual responses - especially for the largest facilities, general economic conditions, coherence with results from related economic indicators, historical trends, and information from other external sources.

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 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.

Revisions and seasonal adjustment

There is no seasonal adjustment. Data from previous years may be revised based on updated information.

Data accuracy

Reporting detail may vary across jurisdictions. Where detailed data is unavailable, data may be imputed using donor information from facilities of similar size and characteristics.

Generally, facilities unable to report in detail are smaller in size, and although numerous, represent a small fraction of the entire population.

Prior to publication, combined survey results are analyzed for comparability; in general, this includes a detailed review of individual responses (especially for large businesses), general economic conditions and historical trends.