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Related Experiment Videos

[A structured pain interview for geriatric patients].

H D Basler1, R Bloem, H R Casser

  • 1Institut für Medizinische Psychologie, Universität Marburg. basler@mailer.uni-marburg.de

Schmerz (Berlin, Germany)
|January 26, 2002
PubMed
Summary
This summary is machine-generated.

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A structured pain interview effectively assesses pain in older adults with cognitive impairments. Verbal communication is key for benefiting from this tool, even with mild to moderate cognitive decline.

Area of Science:

  • Geriatric medicine
  • Pain management
  • Neuropsychology

Context:

  • Assessing pain in elderly patients is challenging due to sensory and cognitive deficits.
  • Standardized questionnaires often require assistance from caregivers.
  • A novel structured pain interview was developed as an alternative.

Purpose:

  • To evaluate the properties and acceptance of a structured pain interview in geriatric patients with pain.
  • To determine the interview's effectiveness in the presence of cognitive impairment.

Summary:

  • The interview assesses pain characteristics (site, intensity, duration, disability) and cognitive/emotional variables.
  • It incorporates information from significant others and the Mini-Mental-State-Examination (MMSE).
  • Forty percent of patients scored below the MMSE threshold for cognitive impairment, with higher missing values in those with severe impairment (MMSE < 10).

Related Experiment Videos

  • Cognitive impairment correlated with functional and social disability but not pain characteristics.
  • The MMSE memory item effectively screens for cognitive impairment, identifying patients with substantial missing data.

    • Impact:

    • The structured pain interview is valuable for geriatric patients with pain, even with cognitive impairment, provided they can communicate verbally.
    • A low MMSE score (<10) suggests potential difficulties in data interpretation due to missing values.
    • This tool aids in better pain assessment and management for a vulnerable elderly population.