在孟加拉癌症患者样本中对孟加拉语简短疼痛量表进行心理计量学评估

Md. Ashiquir Rahaman, M. N. Khatun
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引用次数: 0

摘要

疼痛是肿瘤患者的常见主诉,成功治疗需要准确的评估。然而,孟加拉国的疼痛治疗状况在很大程度上没有记录。本研究旨在对孟加拉癌症患者样本中孟加拉语版简明疼痛量表(BPI-Bengali)的心理测量特性进行评估。孟加拉语简明疼痛量表和癌症患者压力问卷修订版(QSC-R 23)的施测对象为接受疼痛治疗的 60 名成年肿瘤患者。严重程度和干扰项目的 Cronbach alpha 系数分别为 0.89 和 0.94。疼痛强度量表和疼痛干扰量表的测试-重测稳定性的皮尔逊相关系数分别为 0.65 (p<0.01)和 0.88 (p<0.01)。探索性因子分析(EFA)得出了两个成分,分别表示疼痛严重程度和干扰集群,解释了 75% 的方差。确认性因素分析表明该模型与数据的拟合程度适中(CFI=0.89,RMSEA=0.16)。疼痛严重程度和干扰程度与压力水平(r=0.67,p<0.01)、压力水平(r=0.66,p<0.01)之间的显著相关性证明了疼痛严重程度和干扰程度的收敛有效性。本研究结果支持孟加拉语 BPI 在癌症人群中的心理测量特性,包括效度、信度和因子结构。33(1):99-108, 2024 (January)
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Psychometric evaluation of the Bengali brief pain inventory in a sample of Bangladeshi cancer patients
Pain is a common complain among oncology patients, and success of its management requires accurate assessment. However, the status of pain treatment in Bangladesh is largely undocumented. The purpose of this study was to evaluate the psychometric properties of the Bengali version of Brief Pain Inventory (BPI-Bengali) in a Bangladeshi sample of cancer patients. BPI-Bengali and the Questionnaire on Stress in Cancer Patients Revised (QSC-R 23) were administered to a convenience sample of 60 adult oncology patients receiving pain treatment. Cronbach alpha coefficients were 0.89 and 0.94 for the severity and interference items respectively. The Pearson correlation coefficients for the test-retest stability were 0.65 (p<0.01) for the pain intensity scale and 0.88 (p<0.01) for the pain interference scale. Exploratory factor analysis (EFA) yielded two components, indicating pain severity and interference clusters by explaining 75% of the variance. The confirmatory factor analysis indicated the model as moderate fit to the data (CFI=0.89, RMSEA=0.16). Convergent validity of the pain severity and interference was demonstrated by significant correlations with stress level (r=0.67, p<0.01), (r=0.66, p<0.01). The findings of this study support the psychometric properties of Bengali BPI among cancer population in terms of validity, reliability and factor structure. Dhaka Univ. J. Biol. Sci. 33(1): 99-108, 2024 (January)
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