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Related Experiment Videos

Validating the MPI-DLV using experience sampling data

R Lousberg1, A J Schmidt, N H Groenman

  • 1Center for Pain Expertise, Academic Hospital Maastricht, The Netherlands.

Journal of Behavioral Medicine
|April 1, 1997
PubMed
Summary

The Dutch Multidimensional Pain Inventory (MPI-DLV) effectively correlates with daily pain experiences, validating its use for assessing chronic pain severity and impact in patients.

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Area of Science:

  • Psychology
  • Pain Management
  • Clinical Research

Background:

  • The Multidimensional Pain Inventory (MPI) is a widely used tool for assessing chronic pain.
  • Validation of the Dutch version (MPI-DLV) using real-time data is crucial for its clinical application.
  • Experience sampling methods provide ecological momentary assessment of pain experiences.

Purpose of the Study:

  • To investigate the relationship between MPI-DLV scale scores and data from an experience sampling procedure.
  • To validate the MPI-DLV by comparing its scales to daily pain reports.
  • To assess the predictive power of MPI-DLV pain intensity for daily pain variance.

Main Methods:

  • Fifty-seven chronic pain patients completed the MPI-DLV and a 6-day experience sampling procedure.

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  • Correlations were calculated between MPI-DLV scales and analogous experience sampling items.
  • Regression analysis was used to determine the variance explained in experience sampling pain intensity.
  • Main Results:

    • Significant correlations were found between MPI-DLV scales (Pain Severity, Interference, Responses, Household Chores) and their daily analogues.
    • A marginally significant correlation was observed for the MPI-DLV Life Control scale.
    • MPI-DLV present pain intensity explained 58% of the variance in experience sampling pain intensity.

    Conclusions:

    • The study provides further validation for the MPI-DLV, demonstrating its correlation with daily pain experiences.
    • The MPI-DLV is a reliable instrument for measuring various dimensions of chronic pain.
    • The findings support the use of the MPI-DLV in clinical settings for pain assessment and management.