Data and Information Quality

Our Data and Information Quality Program is recognized internationally for its comprehensiveness and high standards . We work with our data suppliers and users to ensure we continue to be a trusted source of health information that meets the broadening needs of our stakeholders.

In addition to the resources below, key reference information about CIHI’s data sources and indicators is available.

 

Data Quality by Data Holding

Narrow the search results below by using the drop-down menu to choose a data holding, or use the search bar for more freedom. You can also sort results by year.

Click a title for pricing and eligibility information. Some restrictions may apply. 

Data holding Title Year Description
DAD Data Quality Documentation, Hospital Morbidity Database — Current-Year Information, 2015–2016 2015–2016

Information on the quality of the data file for the relevant fiscal year.

DAD Discharge Abstract Database Open-Year Data Quality Test Specifications, 2014–2015 2015 Open-year data quality tests performed on the DAD in 2014–2015, along with the rules, selection criteria and data elements used.
DAD Data Quality Documentation, Discharge Abstract Database — Current-Year Information, 2014–2015 2014-2015

Information on the quality of the data file for the relevant fiscal year.

DAD Data Quality Documentation, Discharge Abstract Database — Current-Year Information, 2013–2014 2013–2014 Information on the quality of the data file for the relevant fiscal year.
HMHSU Resident Assessment Instrument-Mental Health (RAI-MH) Outcome Scales Reference Guide 2015

The Resident Assessment Instrument-Mental Health (RAI-MH) Outcome Scales Reference Guide provides an overview of the calculation for the outcomes scales derived from the RAI-MH assessment.

HWDB Health Workforce, 2018 — Methodology Guide 2018

This guide summarizes the strengths and limitations of the health workforce data contained in our analytical products and the ways in which it can be effectively used and analyzed.

NACRS National Ambulatory Care Reporting System Open-Year Data Quality Test Specifications, 2018–2019 2018

Open-year data quality tests performed on NACRS in 2018–2019, including the rules, patient care types, submission levels, selection criteria and data elements used.

NACRS Data Quality Documentation, National Ambulatory Care Reporting System Current-Year Information, 2017–2018 2017-2018

Data Quality Documentation, National Ambulatory Care Reporting System Current-Year Information, 2017–2018

NACRS Data Quality Documentation, National Ambulatory Care Reporting System - Current-Year Information, 2016–2017 2017

Current-Year Information report is produced on a yearly basis and provides information on the quality of the data file for the given fiscal year.

NACRS National Ambulatory Care Reporting System Open-Year Data Quality Test Specifications, 2017–2018 2017

Open-year data quality tests performed on NACRS in 2017–2018, including the rules, patient care types, submission levels, selection criteria and data elements used.

NACRS National Ambulatory Care Reporting System Open-Year Data Quality Test Specifications, 2016–2017 2017

The National Ambulatory Care Reporting System (NACRS) is routinely analyzed for data quality issues during the submission year and after database closure. Suspect findings are communicated back to the submitting facilities for investigation and correction while the database is still open for submission

NACRS Data Quality Documentation, National Ambulatory Care Reporting System— Current-Year Information, 2015–2016 2015–2016

Current-Year Information is produced on a yearly basis and provides information on the quality of the data file for the relevant fiscal year.

NACRS Data Quality Documentation, National Ambulatory Care Reporting System — Current-Year Information, 2014–2015 2015 Information on the quality of the data file for the relevant fiscal year.
NACRS Data Quality Documentation, National Ambulatory Care Reporting System — Current-Year Information, 2013–2014 2013–2014 Information on the quality of the data file for the relevant fiscal year.
OMHRS System for Classification of In-Patient Psychiatry (SCIPP) Grouping Methodology: Flow Charts and SAS Code, OMHRS Version 2016–2017 2016-2017

This product describes the System for Classification of In-Patient Psychiatry (SCIPP) grouping methodology through flowcharts and SAS code. This grouping methodology is meant for use with all Ontario Mental Health Reporting System (OMHRS) data. 

OMHRS Ontario Mental Health Reporting System (OMHRS) — Guide to Interpreting Quarterly Comparative Reports, 2015-2016 2015

The Ontario Mental Health Reporting System — Guide to Interpreting Quarterly Comparative Reports explains the format and the information presented in the Quarterly Comparative Reports.

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