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Relationship between self-reported disability and caregiver hours.

G P Samsa1, H Hoenig, L G Branch

  • 1Center for Clinical Health Policy Research, and Department of Medicine, Duke University Medical Center, Durham, North Carolina 27705, USA.

American Journal of Physical Medicine & Rehabilitation
|August 29, 2001
PubMed
Summary

Self-reported physical function strongly correlates with caregiver hours in spinal cord dysfunction patients. Higher disability levels showed more variability in care needs, highlighting the importance of functional measures.

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Area of Science:

  • Rehabilitation Medicine
  • Clinical Epidemiology
  • Health Services Research

Background:

  • Spinal cord dysfunction presents significant challenges to patient independence and requires substantial care.
  • Understanding the relationship between patient-reported function and care needs is crucial for resource allocation and patient support.

Purpose of the Study:

  • To assess the association between self-reported physical function and the amount of care received in a large cohort of individuals with spinal cord dysfunction.
  • To evaluate the utility of self-reported disability measures in understanding the clinical epidemiology of spinal cord dysfunction.

Main Methods:

  • A cross-sectional, self-administered survey was used with 13,542 respondents from Department of Veterans Affairs databases.
  • Physical function was measured using the Self-Reported Functional Measure (SRFM).

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  • Caregiver hours (CGHs) were self-reported over the preceding two weeks.

    • Main Results:

    • A strong negative correlation (Spearman correlation = -0.70) was observed between self-reported disability and CGHs.
    • Individuals with moderate disability levels exhibited the greatest variability in CGHs.
    • Instrumental activities of daily living and individual SRFM items were significant predictors of CGHs.

    Conclusions:

    • The findings support the construct validity of the Self-Reported Functional Measure.
    • Self-reported disability measures are valuable tools for describing the clinical epidemiology of spinal cord dysfunction.