Residents With a Feeding Tube

Data

The CCRS eReports provide authorized users with secure and timely access to key clinical administrative information from the Continuing Care Reporting System (CCRS). The reports are available to organizations submitting data to CCRS, their health authorities and ministries of health, and are updated on a quarterly basis.

The Integrated interRAI Reporting System Long-Term Care (IRRS LTC) Secure Reporting tool aggregates pan-Canadian long-term care data from LTC homes. Authorized users can explore organization-level data, compare results with peers within and across jurisdictions and see trends over time.

Methodology

Download CSV Expand/collapse all All accordions expanded

Identifying Information

Name

Residents With a Feeding Tube

Short/Other Names

Percentage of Residents With a Feeding Tube (NUT01)

Description

This indicator looks at how many long-term care residents had a feeding tube. This form of nutrition support is used for those who are unable to eat enough food, either because they have a poor appetite, because eating is difficult or because their body requires energy/nutrients due to illness. Residents should be monitored for weight loss, feeding tube dislodgement and aspiration, as these are the most common complications.

Background, Interpretation and Benchmarks

Rationale

Long-term care quality indicators were developed by , an international research network, to provide organizations with measures of quality across key domains, including physical and cognitive function, safety and quality of life. Each indicator is adjusted for resident characteristics that are related to the outcome and that are independent of quality of care. The indicators can be used by quality leaders to drive continuous improvement efforts. They are also used to communicate with key stakeholders through report cards and accountability agreements.

Interpretation

Lower is better; it means that a lower percentage of long-term care residents had a feeding tube.

HSP Framework Dimension

Health system outputs: Appropriate and effective

Areas of Need

Living With Illness, Disability or Reduced Function

Targets/Benchmarks

AV��: None

Availability of Results

Available Data Years

Geographic Coverage

Newfoundland and Labrador
New Brunswick
Nova Scotia
Ontario
Manitoba
Saskatchewan
Alberta
British Columbia
Yukon

Reporting Level/Disaggregation

Province/Territory
Region
Facility
Corporation

Sector (residential and hospital-based continuing care)

Result Updates

Indicator Results

Web Tool:
CCRS eReports (RAI-MDS 2.0)

Web Tool:
IRRS LTC Secure Reporting tool

Update Frequency

Monthly (IRRS LTC Secure Reporting tool)

Quarterly (CCRS eReports)

Updates

Not applicable

Indicator Calculation

Description

Percentage of residents with a feeding tube on their target assessment

Unit of Analysis: Resident

Type of Measurement

Percentage or proportion

Denominator

Description:

Residents with valid assessments, excluding comatose and end-of-life residents

Inclusions:

Residents with valid assessments. To be considered valid, the target assessment must

Be the latest assessment in the quarter
Be carried out more than 92 days after the Admission Date
Not be an Admission Full Assessment (RAI-MDS 2.0) or First Assessment (interRAI LTCF)

Exclusions:

Residents who are comatose (RAI-MDS 2.0: B1 = 1; interRAI LTCF: C1 = 5), end-stage (RAI-MDS 2.0: J5c = 1; interRAI LTCF: J6c = 1) or receiving hospice/palliative care (RAI-MDS 2.0: P1ao = 1; interRAI LTCF: O2m = 2, 3)

Numerator

Description:

Residents with a feeding tube on their target assessment

Inclusions:

Residents with valid assessments. To be considered valid, the target assessment must

Be the latest assessment in the quarter
Be carried out more than 92 days after the Admission Date
Not be an Admission Full Assessment (RAI-MDS 2.0) or First Assessment (interRAI LTCF)

Exclusions:

Method of Adjustment

Direct standardization

Stratification, indirect standardization

Standard population
3,000 facilities in 6 U.S. states and 92 residential care facilities and continuing care hospitals in Nova Scotia and Ontario

Adjustment Applied

Covariates used in risk adjustment:

Individual covariates:

Resource Utilization Group (RUG): Nursing Case Mix Index
Swallowing problem
Resource Utilization Group (RUG): Clinically Complex
Age younger than 65

Facility-level stratification: Activities of Daily Living (ADLs) Long-Form Scale

Geographic Assignment

Place of service

Data Sources

CCRS (Continuing Care Reporting System)
IRRS (Integrated interRAI Reporting System)

Quality Statement

Caveats and Limitations

This measure uses data collected by long-term care facilities using the Resident Assessment Instrument–Minimum Data Set 2.0 (RAI-MDS 2.0) and submitted to the Continuing Care Reporting System (CCRS), or using the interRAI Long-Term Care Facilities (interRAI LTCF) assessment and submitted to the Integrated interRAI Reporting System (IRRS).

Certain provinces and territories have transitioned to or are in the process of transitioning to the newer interRAI LTCF assessment instrument (see Trending Issues for more information). For a number of years, the national average (where available) will be based on both assessment instruments. To support inclusion of interRAI LTCF assessment data in public reporting, AV�� has completed an analysis to understand similarities and differences between the 2 assessment instruments. Overall, indicator results are comparable and appropriate to be trended over time and across instruments.

Trending Issues

The number of long-term care homes and jurisdictions submitting data to AV�� varies over time and has been generally increasing. Furthermore, as long-term care homes transition from the RAI-MDS 2.0 to the interRAI LTCF, there may be changes in data coverage that can impact the results (see more details below). Time series changes must be interpreted carefully, particularly when comparing the national average over time and when comparing provincial/territorial averages over the transition to the new assessment instrument. Please note that indicator results are risk-adjusted to control for population differences (factors that are beyond the facility’s control but that can affect resident outcomes) to enable more appropriate and fair comparisons of the actual quality of care. Please refer to CCRS Quality Indicators Risk Adjustment Methodology in the References section for more information.

Use of interRAI LTCF: As jurisdictions transition to/adopt the interRAI LTCF, there may be disruptions or delays in data submission to AV��, which can impact the coverage of data and therefore indicator results. A summary of interRAI LTCF transition/adoption by jurisdiction is provided below for reference:

Nova Scotia started the transition in 2022; the transition is ongoing.
New Brunswick completed adoption between 2016 and 2017 and started submitting data to IRRS in 2019.
Saskatchewan completed the transition in 2019 and 2020 and started submitting data to IRRS in 2020.
Alberta started the transition in 2021; the transition is ongoing. Currently, only data from the RAI-MDS 2.0 is submitted to AV�� (CCRS) and included in reporting.

AV�� recognizes that the COVID-19 pandemic has affected many long-term care homes across Canada, including their ability to complete assessments and/or submit data to AV��. Available data may vary by jurisdiction and facility. Results should be interpreted in the context of the COVID-19 pandemic.

Comments

The long-term care quality indicators use 4 rolling quarters of data for calculations in order to have a sufficient number of assessments for risk adjustment. Since residents are assessed on a quarterly basis, each resident can contribute to the indicator up to 4 times.

References

Canadian Institute for Health Information. CCRS Quality Indicators Risk Adjustment Methodology (PDF). 2013.

Health Quality Ontario. . Accessed October 4, 2017.

Health Quality Ontario. . 2013.

Health Quality Ontario. . 2017.

Hirdes JP, Mitchell L, Maxwell CJ, White N. . Canadian Journal on Aging. 2011.

Hirdes JP, Poss JW, Caldarelli H, et al. . BMC Medical Informatics and Decision Making. 2013.

Jones RN, Hirdes JP, Poss JW, et al. . BMC Health Services Research. 2010.