Division of Community Collaboration and Implementation Science, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Rare Patient Voice, LLC, Towson, MD, USA.
Qual Life Res. 2018 Mar;27(3):823-833. doi: 10.1007/s11136-017-1722-2. Epub 2017 Nov 10.
The present study evaluated the distributional and structural characteristics and explanatory power of the 23-item Brief Appraisal Inventory (BAI), a more practical appraisal measure for use in clinical research and practice.
A heterogeneous, online cohort of chronic disease patients and caregivers completed the BAI, along with demographics, comorbidities, PROMIS-10, and the Brief NEO Personality Inventory. Principal components, bivariate, and linear and logistic regression analyses addressed BAI item distributions, structure, and construct validity.
The study sample (n = 592) had a mean age of 43.8 (SD = 18.5), and was 79% female. The BAI items exhibited good distributions, and principal component analysis yielded five composite scores: (1) Health Worries; (2) Interpersonal and Independence concerns; (3) Accomplishing Goals and Problem-Solving; (4) Calm, Peaceful, and Active; (5) Spiritual Growth and Altruism. The construct validity of appraisal factors is supported by their zero-order correlations with demographic, health, personality, and health-related QOL measures. Comparisons of appraisal-correlates among comorbidity-burden subgroups shed light on the mediating role that appraisal may play in adapting to chronic illness. Appraisal moderated the influence of comorbidities on emotional but not physical functioning. The performance of the BAI in explaining unique variance in physical and emotional functioning is comparable to results obtained with earlier measures.
The BAI provides a practical, short tool for evaluating appraisal in a wide range of assessment situations. Future research might utilize the BAI in longitudinal research aimed at detecting response-shift effects over time, and in clinical settings to improve patient-provider communication about concerns related to health, health care, or QOL.
本研究评估了 23 项简明评估量表(BAI)的分布和结构特征及其解释力,该量表是一种更实用的评估工具,可用于临床研究和实践。
一组异质的在线慢性病患者和护理人员完成了 BAI,以及人口统计学、合并症、PROMIS-10 和简明 NEO 人格量表。主要成分、双变量、线性和逻辑回归分析解决了 BAI 项目的分布、结构和结构有效性问题。
研究样本(n=592)的平均年龄为 43.8(标准差=18.5),女性占 79%。BAI 项目表现出良好的分布,主成分分析得出五个综合评分:(1)健康担忧;(2)人际关系和独立性问题;(3)实现目标和解决问题;(4)平静、平和和积极;(5)精神成长和利他主义。评估因素的结构有效性得到了他们与人口统计学、健康、人格和健康相关生活质量测量的零阶相关性的支持。在合并症负担亚组中评估相关性的比较揭示了评估在适应慢性疾病中可能发挥的中介作用。评估调节了合并症对情绪但不是身体功能的影响。BAI 在解释身体和情绪功能的独特差异方面的表现可与早期测量结果相媲美。
BAI 提供了一种实用的、简短的工具,可在广泛的评估情境中评估评估。未来的研究可能会在旨在检测随时间推移的反应转移效应的纵向研究中利用 BAI,并在临床环境中利用 BAI 改善患者与提供者之间关于健康、医疗保健或生活质量相关问题的沟通。