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Related Experiment Videos

Scaling ADLs within the MDS.

J N Morris1, B E Fries, S A Morris

  • 1Hebrew Rehabilitation Center for Aged, HRCA Research and Training Institute, Boston, Massachusetts 02131-1097, USA. jnm@thor.hrca.harvard.edu

The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
|January 5, 2000
PubMed
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New scales measuring activities of daily living (ADLs) performance were developed using Minimum Data Set (MDS) data. These scales offer valuable insights for clinicians and researchers assessing resident ADL status in nursing homes.

Area of Science:

  • Gerontology
  • Health Services Research
  • Rehabilitation Medicine

Background:

  • Nursing home residents frequently experience dependency in activities of daily living (ADLs).
  • Accurate measurement of ADL self-performance is crucial for resident care and program evaluation.
  • The Minimum Data Set (MDS) contains items relevant to ADL assessment.

Purpose of the Study:

  • To identify ADL subcomponents within the MDS.
  • To create and validate hierarchical and additive ADL self-performance summary scales.
  • To examine the distributional properties and external validity of these new scales.

Main Methods:

  • Utilized four datasets for a multistep analysis guided by four study objectives.
  • Identified ADL subcomponents within the MDS battery.

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  • Aggregated items into hierarchical and additive ADL summary scales.
  • Described baseline and longitudinal distributional properties in a large, seven-state MDS database.
  • Evaluated scale relationships with two external ADL criteria.

    • Main Results:

    • MDS ADL self-performance variables were categorized into early, middle, and late loss components.
    • Developed and described distributional properties of additive and hierarchical ADL summary scales.
    • Demonstrated the relationship of these scales to staff time and program efficacy in resident functioning.

    Conclusions:

    • New ADL summary scales derived from readily available MDS data are presented.
    • These scales are expected to be valuable for clinicians, program auditors, and researchers.
    • The scales facilitate the determination of resident ADL status using MDS functional self-performance items.