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Original Research

Estimating Minimally Important Differences for the Worst Pain Rating of the Brief Pain Inventory–Short Form

Original research

Estimating Minimally Important Differences for the Worst Pain Rating of the Brief Pain Inventory–Short Form

Susan D. Mathias MPHCorresponding Author Contact Information, a, E-mail The Corresponding Author, Ross D. Crosby PhDa, Yi Qian PhDa, Qi Jiang PhDa, Roger Dansey MDa and Karen Chung PharmD, MSa

a Health Outcomes Solutions, Winter Park, Florida; Biomedical Statistics and Methodology, Neuropsychiatric Research Institute, Fargo, North Dakota; Global Biostatistics, Global Development, and Global Health Economics, Amgen, Inc., Thousand Oaks, California

Received 25 June 2010; 

accepted 3 December 2010. 

Available online 2 April 2011.

Abstract

The Brief Pain Inventory–Short Form (BPI-SF) is widely used for assessing pain in clinical and research studies. The worst pain rating is often the primary outcome of interest; yet, no published data are available on its minimally important difference (MID). Breast cancer patients with bone metastases enrolled in a randomized, double-blind, phase III study comparing denosumab with zoledronic acid for preventing skeletal related events and completed the BPI-SF, FACT-B, and EQ-5D at baseline, week 5, and monthly through the end of the study. Anchor- and distribution-based MID estimates were computed. Data from 1,564 patients were available. Spearman correlation coefficients for anchors ranged from 0.33–0.65. Mean change scores for worst pain ratings corresponding to one-category improvement in each anchor were 0.26–1.04 for BPI-SF current pain, −1.40 to −2.42 for EQ-5D Index score, 1.71–1.98 for EQ-5D Pain item, −2.22 to −0.51 for FACT-B TOI, −1.61 to −0.16 for FACT-G Physical, and −1.31 to −0.12 for FACT-G total. Distribution-based results were 1 SEM = 1.6, 0.5 effect size = 1.4, and Guyatt's statistic = 1.4. Combining anchor- and distribution-based results yielded a two-point MID estimate. An MID estimate of two points is useful for interpreting how much change in worst pain is considered clinically meaningful.

Article Outline

Methods

Study Design

Outcome Measures and Assessment Intervals

Anchor-Based Analysis

Distribution-Based Analysis

Integrating Anchor-Based and Distribution-Based Mid Estimates

Results

Patient Population

Anchor-Based Analysis

Distribution-Based Analysis

Integrating Anchor-Based and Distribution-Based Mid Estimates

Discussion
Acknowledgements
References

Certain outcomes, such as pain, are only known to patients and therefore are best reported through a patient-reported outcome (PRO) measure. To be clinically useful, a PRO measure must be valid, reliable, and responsive to change. In addition, interpretation of data from PRO measures is aided by estimation of the minimally important difference (MID). The MID is the smallest difference in a PRO measure that a patient would consider beneficial or detrimental. Although the MID may not affect the patient's clinical treatment or care, patients are the primary stakeholders in the evaluation of PROs, and patient-perceived differences are particularly relevant in advanced stages of disease where palliation may be the focus of treatment.

1

04/02/11  

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