The Use of interRAI Scales Across Healthcare Settings: Building a Bridge Between Evidence and Practice

Equitable and effective service and policy decisions require reliable evidence-based information; interRAI assessments offer objective data across broad health determinants for multiple purposes. This article aims to highlight selected embedded scales and algorithms and illustrate their prevalence across settings using Canadian data. Ten measures are described along with examples of subsequent use in predicting outcomes, adverse events, and resource utilization across diverse populations and jurisdictions. Prevalence rates for nine scales and algorithms were available across home and community care, Long Term Care (LTC), and inpatient settings. Higher rates of disability in function and cognition were seen in LTC and CCC, whereas palliative care has highest prevalence of health instability. Overlaps in key areas suggest the need to provide targeted services irrespective of setting. Overall, this article highlights the potential of scales and algorithms to capture key clinical information across the broader health determinants while minimizing assessment burden.

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Publication Details

Journal
Healthcare Management Forum
Published
2025-11-03
DOI
https://doi.org/10.1177/08404704251385067
Primary Topic
Geriatric Care and Nursing Homes
Type
article
Field-Weighted Citation Impact
0.00
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article

The Use of interRAI Scales Across Healthcare Settings: Building a Bridge Between Evidence and Practice

Amanda Mofina, Mary James, Brigette Meehan, Katherine Berg
Healthcare Management Forum
Geriatric Care and Nursing Homes
article

The Use of interRAI Scales Across Healthcare Settings: Building a Bridge Between Evidence and Practice

Amanda Mofina, Mary James, Brigette Meehan, Katherine Berg
article en

Abstract

Equitable and effective service and policy decisions require reliable evidence-based information; interRAI assessments offer objective data across broad health determinants for multiple purposes. This article aims to highlight selected embedded scales and algorithms and illustrate their prevalence across settings using Canadian data. Ten measures are described along with examples of subsequent use in predicting outcomes, adverse events, and resource utilization across diverse populations and jurisdictions. Prevalence rates for nine scales and algorithms were available across home and community care, Long Term Care (LTC), and inpatient settings. Higher rates of disability in function and cognition were seen in LTC and CCC, whereas palliative care has highest prevalence of health instability. Overlaps in key areas suggest the need to provide targeted services irrespective of setting. Overall, this article highlights the potential of scales and algorithms to capture key clinical information across the broader health determinants while minimizing assessment burden.

Healthcare Management ForumVol. 39(2)
University of Waterloo (CA), University of Toronto (CA), University of Michigan (US), Michigan United (US), Health Promotion Agency (NZ)
Openalex Percentile: Top 51%
Geriatric Care and Nursing Homes
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