Using confirmatory factor analysis to evaluate construct validity of the Brief Pain Inventory (BPI).

Using confirmatory factor analysis to evaluate construct validity of the Brief Pain Inventory (BPI).
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使用验证性因素分析评估短暂疼痛清单(BPI)的构造有效性。

DOI:
10.1016/j.jpainsymman.2010.05.008
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发表时间:
2011-03
影响因子:
4.7
通讯作者:
Basch, Ethan
Basch, Ethan
中科院分区:
医学2区
文献类型:
--
作者:
Atkinson, Thomas M.;Rosenfeld, Barry D.;Sit, Laura;Mendoza, Tito R.;Fruscione, Mike;Lavene, Dawn;Shaw, Mary;Li, Yuelin;Hay, Jennifer;Cleeland, Charles S.;Scher, Howard I.;Breitbart, William S.;Basch, Ethan

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简要疼痛量表(BPI)是一种常用的工具,用于评估患者报告的疼痛结果。大多数因子分析研究发现了该仪器的双因素结构(即疼痛强度和疼痛干扰);然而,由于BPI是基于其项目之间关系的先验假设而开发的,因此结构效度调查应使用验证性因子分析(CFA)。这项工作的目的是使用CFA框架建立BPI的结构有效性,并使用一系列人口变量证明因子不变性。回顾性CFA在诊断为HIV/AIDS和癌症的个体样本中完成(n = 364, 63%为男性,年龄21-92岁,M = 51.80)。将基线单因素模型与基于仪器假设设计开发的两因素和三因素模型(即疼痛强度、活动干扰和情感干扰)进行比较。与单因素模型相比,三因素模型的拟合指数在统计学上优于单因素模型,与双因素模型相比,拟合指数略好。这种三因素结构在疾病、年龄和种族群体中是不变的。本研究的结果为支持BPI的三因素表征以及最初假设的双因素结构提供了证据。这些发现将开始为临床试验者、药品发起人和监管机构提供信心,当考虑将该仪器纳入临床研究时,该仪器的心理测量特性。
The Brief Pain Inventory (BPI) is a frequently used instrument designed to assess the patient-reported outcome of pain. The majority of factor analytic studies have found a two-factor (i.e., pain intensity and pain interference) structure for this instrument; however, since the BPI was developed with an a priori hypothesis of the relationship among its items, it follows that construct validity investigations should utilize confirmatory factor analysis (CFA). The purpose of this work is to establish the construct validity of the BPI using a CFA framework and demonstrate factorial invariance using a range of demographic variables. A retrospective CFA was completed in a sample of individuals diagnosed with HIV/AIDS and cancer (n = 364; 63% male; age 21-92 years, M = 51.80). A baseline one-factor model was compared against two-factor and three-factor models (i.e., pain intensity, activity interference, and affective interference) that were developed based on the hypothetical design of the instrument. Fit indices for the three-factor model were statistically superior when compared to the one-factor model and marginally better in comparison to the two-factor model. This three-factor structure was found to be invariant across disease, age, and ethnicity groups. The results of this study provide evidence to support a three-factor representation of the BPI, as well as the originally hypothesized two-factor structure. Such findings will begin to provide clinical trialists, pharmaceutical sponsors, and regulators with confidence in the psychometric properties of this instrument when considering its inclusion in clinical research.
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