Next Article in Journal
Fatty Liver and Fatty Heart—Where do They Stand in the AMIS Syndrome?
Next Article in Special Issue
Factors Affecting Gynecologic and Sexual Assessment in Older Women: A Lesson for Primary Care Providers
Previous Article in Journal
Aging, Nutritional Status and Health
Previous Article in Special Issue
Using the Nursing Culture Assessment Tool (NCAT) in Long-Term Care: An Update on Psychometrics and Scoring Standardization
Article Menu

Export Article

Open AccessArticle
Healthcare 2015, 3(3), 659-665; doi:10.3390/healthcare3030659

Affirming the Value of the Resident Assessment Instrument: Minimum Data Set Version 2.0 for Nursing Home Decision-Making and Quality Improvement

1
Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 1C9, Canada
2
Faculty of Nursing, Edmonton Clinic Health Academy, University of Alberta, Edmonton, AB T6G 1C9, Canada
3
Department of Physical Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB T6G 1C9, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: Tracey L. Yap and Melissa Batchelor-Murphy
Received: 11 April 2015 / Revised: 11 July 2015 / Accepted: 27 July 2015 / Published: 30 July 2015
(This article belongs to the Special Issue Nursing Care of the Older Adult)
View Full-Text   |   Download PDF [85 KB, uploaded 30 July 2015]

Abstract

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 at greater 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. View Full-Text
Keywords: RAI-MDS 2.0; FIM; activities of daily living; dementia; nursing home RAI-MDS 2.0; FIM; activities of daily living; dementia; nursing home
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Drummond, L.S.; Slaughter, S.E.; Jones, C.A.; Wagg, A.S. Affirming the Value of the Resident Assessment Instrument: Minimum Data Set Version 2.0 for Nursing Home Decision-Making and Quality Improvement. Healthcare 2015, 3, 659-665.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Healthcare EISSN 2227-9032 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top