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Affirming the value of the resident assessment instrument: Minimum data set version 2.0 for nursing home decision-making and quality improvement

  • Author(s) / Creator(s)
  • Background: We examined the agreement over time of the physical functioning domains of the Resident Assessment Instrument: Minimum Data Set Version 2.0 (RAI-MDS) and the Functional Independence Measure (FIM) in nursing home residents with dementia. Methods: We completed a secondary analysis of data from a longitudinal quasi-experimental study of residents who could transfer independently or with the assistance of one person. FIM assessments were completed at up to three time points by researchers using interviews. RAI-MDS assessments, completed by nursing home staff, were matched to the FIM assessment by nearest time. FIM and RAI-MDS assessments were correlated based on time between assessments using Pearson’s correlation. Items for activities of daily living (ADL) from the RAI-MDS were rescaled using two previously published crosswalks. Motor and ADL subscales were also used, containing eight and six items, respectively. Results: A total of 362 paired interviews and assessments were collected from 130 residents. The mean scores and standard deviations were as follows: FIM: 19.64 (7.60); William’s RAI-MDS crosswalk: 18.04 (5.25); and Velozo’s RAI-MDS crosswalk: 18.09 (6.50). Using both crosswalks, most items showed medium (r > 0.3) or large (r > 0.5) correlations, even atgreater than 41 days between assessments. Subscales showed large correlations for all time intervals for both crosswalks. Conclusions: The RAI-MDS remains stable when data are collected greater than 41 days from the FIM assessment. These findings should add confidence in the RAI-MDS data and its clinical utility.

  • Date created
    2015
  • Subjects / Keywords
  • Type of Item
    Article (Published)
  • DOI
    https://doi.org/10.7939/R3GH9B94W
  • License
    © 2015 Lindsay S. Drummond. This is an Open Access document distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
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  • Citation for previous publication
    • Drummond, L. S., Slaughter, S. E., Jones, C. A., & Wagg, A. S. 2015. Affirming the value of the resident assessment instrument: Minimum data set version 2.0 for nursing home decision-making and quality improvement. Healthcare, 3(3), 659-665.