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Evaluating the “Good Death” Concept from Iranian Bereaved Family

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O R I G I N A L R E S E A R C H<br />

Estimating Minimally Important<br />

Differences for <strong>the</strong> Worst Pain Rating of<br />

<strong>the</strong> Brief Pain Inventory–Short Form<br />

Susan D. Mathias, MPH, Ross D. Crosby, PhD, Yi Qian, PhD, Qi Jiang, PhD, Roger Dansey, MD, and<br />

Karen Chung, PharmD, MS<br />

Certain outcomes, such as pain, are only<br />

known to patients and <strong>the</strong>refore are best<br />

reported through a patient-reported outcome<br />

(PRO) measure. To be clinically useful, a<br />

PRO measure must be valid, reliable, and responsive<br />

to change. In addition, interpretation of data<br />

<strong>from</strong> PRO measures is aided by estimation of <strong>the</strong><br />

minimally important difference (MID). The<br />

MID is <strong>the</strong> smallest difference in a PRO measure<br />

that a patient would consider beneficial or detrimental.<br />

Although <strong>the</strong> MID may not affect <strong>the</strong><br />

patient’s clinical treatment or care, patients are<br />

<strong>the</strong> primary stakeholders in <strong>the</strong> evaluation of<br />

PROs, and patient-perceived differences are particularly<br />

relevant in advanced stages of disease<br />

where palliation may be <strong>the</strong> focus of treatment. 1<br />

The MID may be estimated through distribution-based<br />

methods and/or anchor-based methods.<br />

Distribution-based methods are based on <strong>the</strong><br />

distribution of <strong>the</strong> data. Examples of distributionbased<br />

methods include effect size measures, <strong>the</strong><br />

standard error of measurement (SEM), one-half<br />

times <strong>the</strong> standard deviation, and <strong>the</strong> responsiveness<br />

index. 2,3 Anchor-based methods are based<br />

on <strong>the</strong> association between <strong>the</strong> PRO measure<br />

and an interpretable external measure, such as a<br />

global rating of change or a response to treatment.<br />

These methods may result in somewhat<br />

From Health Outcomes Solutions, Winter Park, Florida; Biomedical<br />

Statistics and Methodology, Neuropsychiatric Research<br />

Institute, Fargo, North Dakota; Global Biostatistics,<br />

Global Development, and Global Health Economics, Amgen,<br />

Inc., Thousand Oaks, California.<br />

Manuscript received June 25, 2010; Accepted December 3,<br />

2010.<br />

Correspondence to: Susan D. Mathias, Health Outcomes<br />

Solutions, PO Box 2343, Winter Park, FL 32790; telephone:<br />

(407) 643-9016; fax: (866) 384-0194; e-mail: smathias@<br />

healthoutcomessolutions.com<br />

J Support Oncol 2011;9:72–78 © 2011 Elsevier Inc. All rights reserved.<br />

doi:10.1016/j.suponc.2010.12.004<br />

Abstract The Brief Pain Inventory–Short Form (BPI-SF) is widely used for<br />

assessing pain in clinical and research studies. The worst pain rating is often<br />

<strong>the</strong> primary outcome of interest; yet, no published data are available on its<br />

minimally important difference (MID). Breast cancer patients with bone<br />

metastases enrolled in a randomized, double-blind, phase III study comparing<br />

denosumab with zoledronic acid for preventing skeletal related<br />

events and completed <strong>the</strong> BPI-SF, FACT-B, and EQ-5D at baseline, week 5,<br />

and monthly through <strong>the</strong> end of <strong>the</strong> study. Anchor- and distribution-based<br />

MID estimates were computed. Data <strong>from</strong> 1,564 patients were available.<br />

Spearman correlation coefficients for anchors ranged <strong>from</strong> 0.33–0.65.<br />

Mean change scores for worst pain ratings corresponding to one-category<br />

improvement in each anchor were 0.26–1.04 for BPI-SF current pain, �1.40<br />

to �2.42 for EQ-5D Index score, 1.71–1.98 for EQ-5D Pain item, �2.22 to<br />

�0.51 for FACT-B TOI, �1.61 to �0.16 for FACT-G Physical, and �1.31 to<br />

�0.12 for FACT-G total. Distribution-based results were 1 SEM � 1.6, 0.5<br />

effect size � 1.4, and Guyatt’s statistic � 1.4. Combining anchor- and<br />

distribution-based results yielded a two-point MID estimate. An MID estimate<br />

of two points is useful for interpreting how much change in worst<br />

pain is considered clinically meaningful.<br />

different estimates, and no particular estimate is<br />

considered <strong>the</strong> most valid. 2–4 Therefore, researchers<br />

are encouraged to use more than one<br />

method and to present a range of MID estimates.<br />

A frequently used PRO measure for <strong>the</strong> assessment<br />

of pain is <strong>the</strong> Brief Pain Inventory–Short<br />

Form (BPI-SF). The foundation of <strong>the</strong> BPI-SF is<br />

<strong>the</strong> Wisconsin Brief Pain Questionnaire, which<br />

was developed over 25 years ago based on interviews<br />

with cancer patients, expert opinion, and<br />

<strong>the</strong>n-current psychometric standards. 5 Over<br />

time, <strong>the</strong> Wisconsin Brief Pain Questionnaire<br />

evolved into <strong>the</strong> Brief Pain Inventory, which was<br />

later reduced to a shorter version, <strong>the</strong> BPI-SF.<br />

Today, <strong>the</strong> BPI-SF is <strong>the</strong> standard for clinical and<br />

research use. It has been used in over 400 studies,<br />

including psychometric evaluations and clinical<br />

applications with a wide range of conditions<br />

72 www.SupportiveOncology.net THE JOURNAL OF SUPPORTIVE ONCOLOGY

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