Department of Health Outcomes and Policy, College of Medicine, University of Florida, Gainesville, FL, USA.
Qual Life Res. 2012 Oct;21(8):1437-50. doi: 10.1007/s11136-011-0055-9. Epub 2011 Nov 20.
Little attention has been paid to selecting and developing health-related quality of life (HRQOL) measurement tools for young adult survivors of childhood cancer (YASCC). The primary purpose of this study was to develop a HRQOL tool for YASCC based on three legacy instruments.
Data collected from 151 YASCC were analyzed. HRQOL was measured using the Medical Outcomes Study SF-36, Quality of Life in Adult Cancer Survivors, and Quality of Life-Cancer Survivor. We used the following stages to develop our HRQOL tool: mapping items from three instruments into a common HRQOL construct, checking dimensionality using confirmatory factor analyses (CFA), and equating items using Rasch modeling.
We assigned 123 items to a HRQOL construct comprised of six generic and eight survivor-specific domains. CFA retained 107 items that meet the assumptions of unidimensionality and local independence. Rasch analysis retained 68 items that satisfied the indices of information-weighted/outlier-sensitive fit statistic mean square. However, items in most domains possess relatively easy measurement properties, whereas YASCC's underlying HRQOL was on the middle to higher levels.
Psychometric properties of the established tool for measuring HRQOL of YASCC were not satisfied. Future studies need to refine this tool, especially adding more challenging items.
针对儿童癌症幸存者(YASCC)这一群体,用于选择和开发健康相关生活质量(HRQOL)测量工具的研究较少。本研究的主要目的是基于三种遗留工具为 YASCC 开发一种 HRQOL 工具。
分析了来自 151 名 YASCC 的数据。使用 Medical Outcomes Study SF-36、成人癌症幸存者生活质量和癌症幸存者生活质量来测量 HRQOL。我们使用以下阶段来开发我们的 HRQOL 工具:将三个工具中的项目映射到一个通用的 HRQOL 结构中,使用验证性因子分析(CFA)检查维度,使用 Rasch 模型对项目进行均衡。
我们将 123 个项目分配给一个 HRQOL 结构,该结构由六个通用和八个幸存者特有的领域组成。CFA 保留了 107 个符合单维性和局部独立性假设的项目。Rasch 分析保留了 68 个满足信息加权/异常敏感拟合统计均方指数指标的项目。然而,大多数领域的项目具有相对简单的测量特性,而 YASCC 的潜在 HRQOL 处于中等至较高水平。
用于测量 YASCC 生活质量的既定工具的心理测量特性不令人满意。未来的研究需要改进这个工具,特别是增加更具挑战性的项目。