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Related Experiment Videos

Scoring nonresponse on the Mini-Mental State Examination.

G G Fillenbaum1, L K George, D G Blazer

  • 1Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, NC 27710.

Psychological Medicine
|November 1, 1988
PubMed
Summary
This summary is machine-generated.

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Coding nonresponse on the Mini-Mental State Examination (MMSE) as error, not correct, better classifies older adults in epidemiological surveys. This approach impacts 13% of subjects aged 60+, improving accuracy for cognitive assessments.

Area of Science:

  • Gerontology
  • Epidemiology
  • Cognitive Assessment

Background:

  • The Mini-Mental State Examination (MMSE) is a widely used cognitive screening tool.
  • Nonresponse to MMSE items presents a challenge in data interpretation, particularly in large-scale epidemiological surveys.
  • Different methods of handling nonresponse can affect study outcomes.

Purpose of the Study:

  • To compare the impact of coding MMSE nonresponse as error versus correct on subject classification.
  • To determine the most accurate method for handling nonresponse in epidemiological studies involving older adults.

Main Methods:

  • Analysis of a random sample of 1931 subjects aged 60 and over.
  • Comparison of subject classification when nonresponse is coded as error versus correct.

Related Experiment Videos

  • Evaluation of activities of daily living and item difficulty for responders and nonresponders.

    • Main Results:

    • Coding nonresponse as error resulted in a different classification for 13% of the study sample.
    • Nonresponders showed lower ability in activities of daily living compared to responders.
    • Analysis of item difficulty suggested that treating nonresponse as error aligns better with observed performance.

    Conclusions:

    • In epidemiological surveys of individuals aged 60 and over, coding nonresponse on the MMSE as an error is the more appropriate and likely correct procedure.
    • This coding method enhances the accuracy of cognitive status classification in older populations.