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Author Spotlight: Quantifying Pain Experience – An Illustrative Approach Using the Pain Body Diagram

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Brief pain inventory--facial minimum clinically important difference.

Sukhmeet K Sandhu¹, Casey H Halpern, Venus Vakhshori

¹Departments of 1 Neurosurgery and.

Journal of Neurosurgery

|November 1, 2014

Summary

This summary is machine-generated.

The Brief Pain Inventory-Facial (BPI-Facial) tool helps measure trigeminal neuralgia (TN) pain. A 57% improvement in worst pain and 28% in average pain indicate a clinically important difference for patients.

Keywords:

ADL = activities of daily living AUC = area under the ROC curve BPI = Brief Pain Inventory Brief Pain Inventory Brief Pain Inventory–Facial MCID = minimum clinically important difference PGIC = patient global impression of change PRO = patient-reported outcome ROC = receiver operating characteristic TN = trigeminal neuralgia facial pain functional neurosurgery minimum clinically important difference trigeminal neuralgia

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Area of Science:

Neurology
Pain Management
Clinical Assessment

Background:

Trigeminal neuralgia (TN) pain management is complex, with neurosurgeons often primary assessors.
The Brief Pain Inventory-Facial (BPI-Facial) is a validated tool assessing pain intensity and daily activity interference.
Determining the minimum clinically important difference (MCID) is crucial for evaluating treatment efficacy in TN.

Purpose of the Study:

To determine the patient-reported minimum clinically important difference (MCID) for trigeminal neuralgia (TN) using the BPI-Facial.
To assess changes in pain intensity and interference with activities of daily living (ADL) in TN patients.

Main Methods:

Retrospective study of 234 TN patients completing baseline and 1-month follow-up BPI-Facial questionnaires.
Anchor-based approach using the 7-point Patient Global Impression of Change (PGIC) to define MCID.
Two statistical methods (mean change score and optimal cutoff point) were employed for MCID calculation.

Main Results:

Optimal cutoff point method indicated MCIDs of 57% for worst pain intensity and 28% for average pain intensity.
MCIDs for interference with general and facial activities of daily living (ADL) were 75% and 62%, respectively.
Mean change score method yielded different MCID values across the BPI-Facial domains.

Conclusions:

The optimal cutoff point method is superior for calculating MCID with the BPI-Facial in TN patients.
Significant improvements in pain intensity (57% worst, 28% average) and ADL interference (75% general, 62% facial) define MCID.
BPI-Facial is a valuable tool for assessing multidimensional pain changes in TN, with ADL interference being key for patient outcomes.